﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Martínez-Gomariz, E
   Russo, B
   Gómez, M
   Plumed, A
AF Martinez-Gomariz, Eduardo
   Russo, Beniamino
   Gomez, Manuel
   Plumed, Aurea
TI An approach to the modelling of stability of waste containers during
   urban flooding
SO JOURNAL OF FLOOD RISK MANAGEMENT
LA English
DT Article
DE environment; health; safety; urban floods; waste containers
ID RESILIENCE
AB Before the solid waste is dumped in landfills, the collection process for large Spanish cities starts from a regular collection of household waste municipal service which is carried out through street containers. When an urban flood occurs those containers may lose their stability, thereby allowing debris (i.e., solid waste contained) and leachate to escape from the container and contaminate the flood water. Moreover, once a container loses its stability it can further constrict a narrow street and increase flooding, thereby creating a closed basin with no outlet for runoff and exacerbating the effects of flooding. Therefore, the waste containers stability when exposed to flooding is definitely an environmental, safety and health concern to be addressed. In this research stability functions for waste containers exposed to urban floods have been derived. These thresholds have been employed to analyse the containers' potential behaviour during floods in Barcelona. In order to validate the model a historical rainfall has been modelled and low-return-period design storms (i.e., 1, 5, and 10 years) have been used to assess the containers vulnerability against floods for frequent rainfall events. Once the number of potentially unstable containers has been estimated, an adaptation measure has been proposed in order to increase the resilience of waste sector against urban floods in Barcelona.
C1 [Martinez-Gomariz, Eduardo; Gomez, Manuel] CETaqua Water Technol Ctr, Environm Soc & Econ Area, Cornella Del Llobregat, Spain.
   [Martinez-Gomariz, Eduardo; Gomez, Manuel] Tech Univ Catalonia, Flumen Res Inst, Civil & Environm Engn Dept DECA, Barcelona, Spain.
   [Russo, Beniamino] AQUATEC SUEZ Adv Solut, Barcelona, Spain.
   [Russo, Beniamino] Univ Zaragoza, Tech Coll La Almunia EUPLA, Grp Hydraul & Environm Engn, Zaragoza, Spain.
   [Plumed, Aurea] Barcelona City Council, Operat Management Dept, Cleaning & Waste Management Facil Direct, Barcelona, Spain.
C3 Universitat Politecnica de Catalunya; University of Zaragoza
RP Martínez-Gomariz, E (corresponding author), CETaqua Water Technol Ctr, Environm Soc & Econ Area, Cornella Del Llobregat, Spain.
EM eduardo.martinez@cetaqua.com
RI GOMEZ, MANUEL/AAA-7854-2019; Martinez-Gomariz, Eduardo/I-1269-2019;
   Russo, Beniamino/Z-6372-2019
OI GOMEZ, MANUEL/0000-0001-7042-5897; Martinez-Gomariz,
   Eduardo/0000-0002-0189-0725; Russo, Beniamino/0000-0001-9437-0085
FU  [700174]
FX H2020 Environment, Grant/Award Number: 700174
CR Alcrudo F., 2005, P FINITE VOLUMES COM, P3
   [Anonymous], 2012, Cultural Heritage Assets: Addressing Climate Change Impacts on Infrastructure-Preparing for Change
   [Anonymous], 2011, DIFFERENCE DENSITY B
   Butler D., 2011, URBAN DRAINAGE, p621p
   Coaffee J, 2008, PROC INST CIV ENG-U, V161, P173, DOI 10.1680/udap.2008.161.4.173
   Cogersa-AstUR project, CAR RES DOM MEZCL AS
   Djordjevic S, 1999, WATER SCI TECHNOL, V39, P95, DOI 10.2166/wst.1999.0451
   Escarameia M, 2016, P I CIVIL ENG-CIV EN, V169, P101, DOI 10.1680/jcien.2016.169.3.101
   Evans B, 2018, PROCEDIA ENGINEER, V212, P816, DOI 10.1016/j.proeng.2018.01.105
   Gerard M., 2006, THESIS
   Godunov S.K., 1959, Mathematics of the USSR-Sbornik, V47, P271
   Gómez M, 2011, P I CIVIL ENG-WAT M, V164, P81, DOI 10.1680/wama.900070
   Innovyze, 2013, INFOWORKS ICM INT CA
   Isyumov N, 2015, 14 INT C WIND ENG IC, P18
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Lamond J., 2012, WIT T ECOLOGY ENV, V159, P193, DOI DOI 10.2495/FRIAR120161
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Martínez-Gomariz E, 2018, J FLOOD RISK MANAG, V11, pS817, DOI 10.1111/jfr3.12262
   Martinez-Gomariz E, 2016, THESIS
   Martínez-Gomariz E, 2017, URBAN WATER J, V14, P930, DOI 10.1080/1573062X.2017.1301501
   Martínez-Gomariz E, 2016, NAT HAZARDS, V82, P1259, DOI 10.1007/s11069-016-2242-z
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Nanía LS, 2015, J HYDROL ENG, V20, DOI 10.1061/(ASCE)HE.1943-5584.0001080
   Patra JP, 2016, PROC TECH, V24, P93, DOI 10.1016/j.protcy.2016.05.014
   Russo B, 2015, J HYDROINFORM, V17, P473, DOI 10.2166/hydro.2014.063
   Sam P. A., 2002, ARE MUNICIPAL SOLID, P17
   Schmitt TG, 2004, J HYDROL, V299, P300, DOI 10.1016/S0022-1694(04)00374-9
   The Spanish Ministry of Agriculture and Fisheries Food and Environment, BIORR QUE CAR TIEN
   United Nations Human Settlements Program (UN Habitat), 2010, SOLID WASTE MANAGEME
   United States Agency for International Develpement, 2015, TECHNICAL REPORT
   United States Agency for International Develpement, 2014, TECHNICAL REPORT
   Winne S., 2012, 1102 ERG AEA GROUP
   ZEVENBERGEN Chris., 2010, Urban flood management
   Zimmerman R, 2010, ANN NY ACAD SCI, V1196, P63, DOI 10.1111/j.1749-6632.2009.05318.x
NR 34
TC 15
Z9 15
U1 1
U2 8
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1753-318X
J9 J FLOOD RISK MANAG
JI J. Flood Risk Manag.
PD MAR
PY 2020
VL 13
SU 1
AR e12558
DI 10.1111/jfr3.12558
EA AUG 2019
PG 18
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA LG3YF
UT WOS:000482071400001
OA Green Accepted, Bronze, Green Published
DA 2025-04-22
ER

PT J
AU Takiya, H
   Negreiros, I
   Yamamura, CLK
   Quintanilha, JA
   Machado, CAS
   Abiko, A
   de Campos, CI
   Pessoa, MSD
   Berssaneti, FT
AF Takiya, Harmi
   Negreiros, Iara
   Kenji Yamamura, Charles Lincoln
   Quintanilha, Jose Alberto
   Soares Machado, Claudia Aparecida
   Abiko, Alex
   de Campos, Cintia Isabel
   de Paula Pessoa, Marcelo Schneck
   Berssaneti, Fernando Tobal
TI Application of Open Government Data to Sustainable City Indicators: A
   Megacity Case Study
SO SUSTAINABILITY
LA English
DT Article
DE ISO 37120; ISO 37122; ISO 37123; urban indicators; transparency; Sao
   Paulo
ID DATA PORTALS; CITIES; TRANSPARENCY; BENCHMARKING; INNOVATION; POLICY;
   MODEL
AB The access to open government data has been a relevant topic for societies around the world, especially over the last ten years. This paper aims to analyze the indicators of the Sao Paulo City Observatory (ObservaSampa), confronting them with the ISO 3712x series (sustainable, smart, and resilient cities) standards, to assess if the former meet both open data principles and the ISO prescriptions. Bibliometric analysis, comparative analysis, cluster analysis, and principal component analysis (PCA) were the methods used in this research. From the comparative analysis, 18 indicators were identified as conforming and 41 as partially conforming. Thus, 20% of the ObservaSampa indicators adhere to the ISO standards. The PCA applied to the conforming indicators shows component 1 is related to socioeconomic dimensions, while component 2 refers to social policy, with both appraisals confirmed by cluster analysis. Measuring and presenting city data in compliance with indicator standards is relevant because they open the possibility of comparing different cities. However, there is still a lack of consensus on a common set of indicators to be accommodated within the current ISO standards system.
C1 [Takiya, Harmi; Kenji Yamamura, Charles Lincoln; de Paula Pessoa, Marcelo Schneck; Berssaneti, Fernando Tobal] Univ Sao Paulo, Polytech Sch, Dept Prod Engn, BR-05508010 Sao Paulo, Brazil.
   [Takiya, Harmi] Court Auditors City Sao Paulo, Presidents Off, BR-04027000 Sao Paulo, Brazil.
   [Negreiros, Iara; Abiko, Alex] Univ Sao Paulo, Polytech Sch, Dept Civil Construct Engn, BR-05508010 Sao Paulo, Brazil.
   [Quintanilha, Jose Alberto] Univ Sao Paulo, Inst Energy & Environm, BR-05508010 Sao Paulo, Brazil.
   [Soares Machado, Claudia Aparecida] Univ Sao Paulo, Polytech Sch, Dept Transportat Engn, BR-05508070 Sao Paulo, Brazil.
   [de Campos, Cintia Isabel] Univ Fed Goias, Fac Sci & Technol, Rua Mucuri S-N Setor Conde Arcos, BR-74968755 Aparecida De Goiania, Brazil.
C3 Universidade de Sao Paulo; Universidade de Sao Paulo; Universidade de
   Sao Paulo; Universidade de Sao Paulo; Universidade Federal de Goias
RP Takiya, H (corresponding author), Univ Sao Paulo, Polytech Sch, Dept Prod Engn, BR-05508010 Sao Paulo, Brazil.; Takiya, H (corresponding author), Court Auditors City Sao Paulo, Presidents Off, BR-04027000 Sao Paulo, Brazil.
EM harmi.takiya@tcm.sp.gov.br; i.negreiros@usp.br; charles.yamamura@usp.br;
   jaquinta@usp.br; claudia.machado@usp.br; alex.abiko@usp.br;
   cintiacampos@ufg.br; mpessoa@usp.br; fernando.berssaneti@usp.br
RI Machado, Cláudia/AAB-2472-2021; Negreiros, Iara/JQJ-3918-2023;
   Berssaneti, Fernando/L-5668-2017; Campos, Cintia Isabel de/E-4427-2018
OI takiya, harmi/0000-0002-4985-0175; Yamamura,
   Charles/0000-0002-1149-8778; Campos, Cintia Isabel
   de/0000-0002-4183-6790; Quintanilha, Jose/0000-0003-3261-7825;
   Berssaneti, Fernando/0000-0002-8604-1887
FU Coordination of Superior Level Staff Improvement of the Brazilian
   Ministry of Education (CAPES) [001]; Foundation for the Support of the
   University of Sao Paulo (FUSP) [3747/2021]; Brazilian National Council
   for Scientific and Technological Development (CNPq) [305188/2020-8];
   Foundation for Technological Development in Engineering (FDTE) [SGC 101]
FX Coordination of Superior Level Staff Improvement of the Brazilian
   Ministry of Education (CAPES), Finance code 001; Foundation for the
   Support of the University of Sao Paulo (FUSP), Project 3747/2021; and
   the Brazilian National Council for Scientific and Technological
   Development (CNPq), Financial Code: 305188/2020-8. Foundation for
   Technological Development in Engineering (FDTE), Project SGC 101.
CR Abella A, 2017, CITIES, V64, P47, DOI 10.1016/j.cities.2017.01.011
   ABNT-Associa├ao Brasileira de Normas T├cnicas, 2021, 371232021 ABNT NBR I
   ABNT-Associa├ao Brasileira de Normas T├cnicas, 2020, 371222020 ABNT NBR I
   ABNT-Associa├ao Brasileira de Normas T├cnicas, 2021, 37120202021 ABNT NBR
   Albino V, 2015, J URBAN TECHNOL, V22, P3, DOI 10.1080/10630732.2014.942092
   Altamirano-Santiago M, 2020, REV INVEST-QUINDIO, V32, P88, DOI 10.33975/riuq.vol32n2.455
   [Anonymous], 2018, Population Division World Urbanization Prospects: Australia
   [Anonymous], 2014, 37150 ISOTR
   [Anonymous], 2021, Urban Systems Ranking Connected Smart Cities
   Araújo AC, 2016, MEDIJSKE STUD, V7, P65, DOI 10.20901/ms.7.14.6
   Arcadis, 2022, Prosperity beyond profit
   Attard J, 2016, P ANN HICSS, P2605, DOI 10.1109/HICSS.2016.326
   Attard J, 2015, GOV INFORM Q, V32, P399, DOI 10.1016/j.giq.2015.07.006
   Bates J, 2014, GOV INFORM Q, V31, P388, DOI 10.1016/j.giq.2014.02.009
   Bebber S, 2021, CLEAN ENG TECHNOL, V5, DOI 10.1016/j.clet.2021.100271
   Begany GM, 2021, GOV INFORM Q, V38, DOI 10.1016/j.giq.2021.101614
   Bencke L, 2020, FUTURE GENER COMP SY, V109, P218, DOI 10.1016/j.future.2020.03.057
   Berman M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093708
   Berrone P., 2020, IESE Cities in Motion Index 2020, DOI DOI 10.15581/018.ST-542
   BOUROCHE J, 1982, ANALISE DE DADOS, V1st
   Bunders DJ, 2019, CITIES, V93, P145, DOI 10.1016/j.cities.2019.05.004
   Chan CML, 2013, P ANN HICSS, P1890, DOI 10.1109/HICSS.2013.236
   Correa AS, 2019, GOV INFORM Q, V36, P412, DOI 10.1016/j.giq.2019.03.004
   Cortada JW, 2020, LIBRES, V30, P1
   Couto, 2018, 371202017 ABNT NBR I
   Dall'O' G, 2017, SUSTAIN CITIES SOC, V34, P193, DOI 10.1016/j.scs.2017.06.021
   Dawes SS, 2016, GOV INFORM Q, V33, P15, DOI 10.1016/j.giq.2016.01.003
   Dunteman George., 1989, PRINCIPAL COMPONENT
   Edvardsson IR, 2016, KNOWL MAN RES PRACT, V14, P537, DOI 10.1057/s41275-016-0003-0
   EIU-Economist Intelligence Unit, 2022, GLOB LIV IND 2022 RE
   Francisco, 2022, THESIS U ESTADUAL PA
   Gao YY, 2023, INT REV ADM SCI, V89, P59, DOI 10.1177/00208523211009955
   Gascó-Hernández M, 2018, GOV INFORM Q, V35, P233, DOI 10.1016/j.giq.2018.01.003
   Gonzalez-Zapata F, 2015, GOV INFORM Q, V32, P441, DOI 10.1016/j.giq.2015.09.001
   Hajduk S., 2019, Eng. Manag. Prod. Serv, V11, P80, DOI [10.2478/emj-2019-0035, DOI 10.2478/EMJ-2019-0035]
   Hajduk S, 2021, ENERGIES, V14, DOI 10.3390/en14092691
   Harrison P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094721
   Institui a Pol├tica de Dados Abertos do Poder Executivo Federal, 2016, BRASIL DECR
   Islam MT, 2023, VINE J INF KNOWL MAN, V53, P785, DOI 10.1108/VJIKMS-10-2020-0195
   ISO-International Organization for Standardization, 2022, 37110 ISO FDIS, P14
   ISO-International Organization for Standardization, 2018, 371202018 ISO
   ISO-International Organization for Standardization, 2019, 371232019 ISO
   ISO-International Organization for Standardization, 268 ISOTC
   ISO-International Organization for Standardization, 2013, 268 ISO TC, P1
   ISO-International Organization for Standardization, 2019, 371222019 ISO
   JANSSEN M, 2019, PROC ANN HAWAII INT, V2019, P2890
   Janssen M, 2022, SOC SCI COMPUT REV, V40, P478, DOI 10.1177/0894439320980118
   Janssen M, 2012, INFORM SYST MANAGE, V29, P258, DOI 10.1080/10580530.2012.716740
   Jolliffe I., 2002, Principal Component Analysis, DOI 10.1007/b98835
   Kassen M, 2021, INNOV-ORGAN MANAG, V23, P44, DOI 10.1080/14479338.2020.1738940
   Kassen M, 2019, INFORM TECHNOL DEV, V25, P552, DOI 10.1080/02681102.2017.1412289
   Kassen M, 2017, INFORM TECHNOL PEOPL, V30, P301, DOI 10.1108/ITP-10-2015-0243
   Kilkis S, 2018, J SUSTAIN DEV ENERGY, V6, P162, DOI 10.13044/j.sdewes.d5.0179
   Kitchin R, 2015, REG STUD REG SCI, V2, P6, DOI 10.1080/21681376.2014.983149
   Lassinantti J, 2019, GOV INFORM Q, V36, P98, DOI 10.1016/j.giq.2018.11.001
   Lee T, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2020.101482
   Lehner A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041268
   Luthfi A., 2019, INT J ADV SCI ENG IN, V9, P1071, DOI [10.18517/ijaseit.9.3.8846, DOI 10.18517/IJASEIT.9.3.8846]
   Matheus R, 2020, PUBLIC PERFORM MANAG, V43, P503, DOI 10.1080/15309576.2019.1691025
   Meijer R, 2014, J THEOR APPL EL COMM, V9, P32, DOI 10.4067/S0718-18762014000300004
   Mensah IK, 2021, INT J ELECTRON GOV R, V17, P19, DOI 10.4018/IJEGR.2021040102
   Moustaka V, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158553
   Negreiros, 2018, THESIS
   Negreiros I., 2022, P 2020 IEEE INT SMAR, P1
   Neves FT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102860
   OGP-Open Government Partnership, DECL GOV AB
   OKF, OP DEF OP DEF DEF OP
   PMSP, CGM CONTR GER CGM CO
   PMSP-PREFEITURA MUNICIPAL DE SAO PAULO, OBS OBS SAMP
   Pozen DE, 2018, YALE LAW J, V128, P100
   Przybylowski P, 2021, ENERGIES, V14, DOI 10.3390/en14102770
   Purwanto A, 2020, TRANSFORM GOV-PEOPLE, V14, P1, DOI 10.1108/TG-06-2019-0051
   Rathore MM, 2018, SUSTAIN CITIES SOC, V40, P600, DOI 10.1016/j.scs.2017.12.022
   Ruijer E, 2023, PUBLIC MANAG REV, V25, P129, DOI 10.1080/14719037.2021.1942533
   Ruijer E, 2020, AM REV PUBLIC ADM, V50, P260, DOI 10.1177/0275074019888065
   Ruijer E, 2020, INT REV ADM SCI, V86, P3, DOI 10.1177/0020852317753068
   Ruijer E, 2020, PUBLIC PERFORM MANAG, V43, P613, DOI 10.1080/15309576.2019.1568884
   Ruijer E, 2017, GOV INFORM Q, V34, P45, DOI 10.1016/j.giq.2017.01.001
   Saxena S, 2017, INFORM LEARN SCI, V118, P214, DOI 10.1108/ILS-04-2017-0023
   Saxena S, 2017, FORESIGHT, V19, P421, DOI 10.1108/FS-02-2017-0003
   SEADE, POP 2022 MSP SEAD PO
   Sgarbi, 2020, THESIS U SAO PAULO S
   Shah S.I.H., 2021, DALIF DATA LIFECYCLE, V8
   Sharma, 2018, J ENG RES APPL, V8, P47, DOI [10.9790/9622-0805054750, DOI 10.9790/9622-0805054750]
   Sugg Z, 2022, WIRES WATER, V9, DOI 10.1002/wat2.1564
   Tai KT, 2021, GOV INFORM Q, V38, DOI 10.1016/j.giq.2021.101566
   United Nations, 2015, ARES701 UN, P35
   United Nations Development Programme, QUE IDHM
   United Nations Development Programme. Human Development Data Center, Human development reports
   van Donge W, 2022, GOV INFORM Q, V39, DOI 10.1016/j.giq.2021.101642
   Vetrò A, 2016, GOV INFORM Q, V33, P325, DOI 10.1016/j.giq.2016.02.001
   Wang HJ, 2020, IEEE T ENG MANAGE, V67, P670, DOI 10.1109/TEM.2019.2898107
   Wang HJ, 2020, INFORM RES, V25
   Wang HJ, 2016, GOV INFORM Q, V33, P80, DOI 10.1016/j.giq.2015.11.004
   White JM, 2021, INT J URBAN REGIONAL, V45, P385, DOI 10.1111/1468-2427.12978
   White JM, 2021, TELEMAT INFORM, V57, DOI 10.1016/j.tele.2020.101515
   Wolniak R, 2021, INNOVATION-ABINGDON, V34, P376, DOI 10.1080/13511610.2020.1828049
   Zhu XH, 2017, GOV INFORM Q, V34, P256, DOI 10.1016/j.giq.2017.03.004
   Zuffová M, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2020.101480
   Zuiderwijk A, 2021, TELEMAT INFORM, V62, DOI 10.1016/j.tele.2021.101634
   Zuiderwijk A, 2021, TRANSFORM GOV-PEOPLE, V15, P377, DOI 10.1108/TG-09-2020-0271
   Zuiderwijk A, 2019, INT REV ADM SCI, V85, P645, DOI 10.1177/0020852317739115
   Zuiderwijk A, 2017, INT J ELECTRON GOV R, V13, P76, DOI 10.4018/IJEGR.2017100105
NR 103
TC 3
Z9 4
U1 4
U2 45
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2022
VL 14
IS 14
AR 8802
DI 10.3390/su14148802
PG 30
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 3I2JN
UT WOS:000832549200001
OA gold
DA 2025-04-22
ER

PT J
AU Rey-Mahía, C
   Sañudo-Fontaneda, LA
   Andrés-Valeri, VC
   Alvarez-Rabanal, FP
   Coupe, SJ
   Roces-García, J
AF Rey-Mahia, Carlos
   Sanudo-Fontaneda, Luis A.
   Andres-Valeri, Valerio C.
   Alvarez-Rabanal, Felipe Pedro
   Coupe, Stephen John
   Roces-Garcia, Jorge
TI Evaluating the Thermal Performance of Wet Swales Housing Ground Source
   Heat Pump Elements through Laboratory Modelling
SO SUSTAINABILITY
LA English
DT Article
DE ecosystem services; food-energy-water nexus; geothermal energy; LID;
   heating and cooling; stormwater BMP; SUDS; WSUD
ID FOOD-ENERGY-WATER; URBAN; NEXUS; RESILIENCE
AB Land-use change due to rapid urbanization poses a threat to urban environments, which are in need of multifunctional green solutions to face complex future socio-ecological and climate scenarios. Urban regeneration strategies, bringing green infrastructure, are currently using sustainable urban drainage systems to exploit the provision of ecosystem services and their wider benefits. The link between food, energy and water depicts a technological knowledge gap, represented by previous attempts to investigate the combination between ground source heat pump and permeable pavement systems. This research aims to transfer these concepts into greener sustainable urban drainage systems like wet swales. A 1:2 scaled laboratory models were built and analysed under a range of ground source heat pump temperatures (20-50 degrees C). Behavioral models of vertical and inlet/outlet temperature difference within the system were developed, achieving high R-2, representing the first attempt to describe the thermal performance of wet swales in literature when designed alongside ground source heat pump elements. Statistical analyses showed the impact of ambient temperature and the heating source at different scales in all layers, as well as, the resilience to heating processes, recovering their initial thermal state within 16 h after the heating stage.
C1 [Rey-Mahia, Carlos; Sanudo-Fontaneda, Luis A.; Alvarez-Rabanal, Felipe Pedro] Univ Oviedo, INDUROT Res Inst, GICONSIME Res Grp, Dept Construct & Mfg Engn, Campus Mieres,Gonzalo Gutierrez Quiros S-N, Mieres 33600, Spain.
   [Sanudo-Fontaneda, Luis A.; Coupe, Stephen John] Coventry Univ, Ctr Agroecol Water & Resilience, Coventry CV8 3LG, W Midlands, England.
   [Andres-Valeri, Valerio C.] Univ Austral Chile, Fac Ciencias Ingn, Inst Obras Civiles, Gen Lagos 2086,Campus Miraflores, Valdivia 5090000, Chile.
   [Andres-Valeri, Valerio C.] Univ Cantabria, GITECO Res Grp, Ave Castros 44, Santander 39005, Spain.
   [Roces-Garcia, Jorge] Univ Oviedo, Dept Construct & Mfg Engn, Campus Gijon,Pedro Puig Adam S-N,EDO6, Gijon 33203, Spain.
C3 University of Oviedo; Coventry University; Universidad Austral de Chile;
   Universidad de Cantabria; University of Oviedo
RP Sañudo-Fontaneda, LA (corresponding author), Univ Oviedo, INDUROT Res Inst, GICONSIME Res Grp, Dept Construct & Mfg Engn, Campus Mieres,Gonzalo Gutierrez Quiros S-N, Mieres 33600, Spain.; Sañudo-Fontaneda, LA (corresponding author), Coventry Univ, Ctr Agroecol Water & Resilience, Coventry CV8 3LG, W Midlands, England.
EM UO236881@uniovi.es; sanudoluis@uniovi.es; valerio.andres@uach.cl;
   alvarezfelipe@uniovi.es; Stephen.coupe@coventry.ac.uk;
   rocesjorge@uniovi.es
RI Andrés-Valeri, Valerio/HLX-6622-2023; Roces García, Jorge/AAD-9377-2021;
   Sañudo-Fontaneda, Luis/AAB-5045-2020; /K-9034-2017
OI Roces-Garcia, Jorge/0000-0002-8405-8976; Andres Valeri, Valerio
   C./0000-0003-3698-9220; Rey-Mahia, Carlos/0000-0002-8442-5991;
   /0000-0002-8011-7246; Sanudo-Fontaneda, Luis Angel/0000-0002-1532-939X
FU Coventry University; Gijon City Council; FICYT through the GRUPIN
   project [IDI/2018/000221]; EU FEDER funds; University of Oviedo
   [PAPI-17-PEMERG-22]; IUTA [SV-18-GIJON-1-23]
FX This research was funded by the following Institutions: Coventry
   University through the project "Investigation of green infrastructure as
   a combined technique for Bioretention, Flood Resilience and Renewable
   Energy"; the Gijon City Council and the IUTA through the projects
   SV-18-GIJON-1-23; the FICYT through the GRUPIN project Ref.
   IDI/2018/000221, co-financed with EU FEDER funds; and the University of
   Oviedo through the project PAPI-17-PEMERG-22.
CR Abrahams JC, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010147
   Andrés-Valeri VC, 2014, WATER SCI TECHNOL, V70, P1341, DOI 10.2166/wst.2014.382
   Andres-Valeri V.C., 2018, P INT RES C SUST SPA, P18
   [Anonymous], 2007, EN SAV TRUST DOM GRO, P24
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   [Anonymous], 2018, SUSTAINABILITY BASEL, DOI DOI 10.3390/SU10124376
   Bortolini L, 2018, ACTA HORTIC, V1215, P411, DOI [10.17660/ActaHortic.2018.1215.74, 10.17660/actahortic.2018.1215.74]
   Cai DL, 2019, SCI TOTAL ENVIRON, V647, P29, DOI 10.1016/j.scitotenv.2018.07.319
   Cai DL, 2017, SCI TOTAL ENVIRON, V589, P200, DOI 10.1016/j.scitotenv.2017.02.148
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Charlesworth SM, 2017, RENEW SUST ENERG REV, V68, P912, DOI 10.1016/j.rser.2016.02.019
   del-Castillo-García G, 2013, EUR J ENVIRON CIV EN, V17, P956, DOI 10.1080/19648189.2013.837842
   European Commission, 2012, MULT GREEN INFR
   European Commission, 2016, SUPP IMPL GREEN INFR
   Fan JL, 2019, ECOL MODEL, V392, P128, DOI 10.1016/j.ecolmodel.2018.11.019
   Fardel A, 2019, ENVIRON SCI POLLUT R, V26, P1287, DOI 10.1007/s11356-018-3522-9
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Gonzales P, 2017, SUSTAIN CITIES SOC, V30, P128, DOI 10.1016/j.scs.2017.01.012
   Gupta R., 2008, P AIR COND LOW CARB, P14
   Huckleberry JK, 2019, ENVIRON SCI POLICY, V92, P289, DOI 10.1016/j.envsci.2018.11.027
   Luis FMJ, 2019, INVERSE PROBL SCI EN, V27, P1740, DOI 10.1080/17415977.2018.1553969
   La Rosa D, 2017, LANDSCAPE URBAN PLAN, V157, P180, DOI 10.1016/j.landurbplan.2016.05.031
   La Rosa D, 2014, ECOL INDIC, V42, P122, DOI 10.1016/j.ecolind.2013.11.011
   Li Q, 2019, SCI TOTAL ENVIRON, V657, P1051, DOI 10.1016/j.scitotenv.2018.12.118
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Morison PJ, 2011, LANDSCAPE URBAN PLAN, V99, P83, DOI 10.1016/j.landurbplan.2010.08.019
   Nathanail J, 2009, ENG GEOL SPEC PUBL S, V22, P65, DOI 10.1144/EGSP22.5
   Novales A., 2010, ANALISIS REGRESION, P116
   Palazzo E, 2019, J URBAN DES, V24, P137, DOI 10.1080/13574809.2018.1511972
   Pappalardo V, 2017, ECOSYST SERV, V26, P345, DOI 10.1016/j.ecoser.2017.04.015
   Pauleit S, 2019, URBAN FOR URBAN GREE, V40, P4, DOI 10.1016/j.ufug.2018.10.006
   Perales-Momparler S, 2017, J CLEAN PROD, V163, pS113, DOI 10.1016/j.jclepro.2016.05.153
   Price SJ, 2018, TUNN UNDERGR SP TECH, V81, P144, DOI 10.1016/j.tust.2018.06.025
   Steel R. G., 1980, Principles and procedures of statistics
   Tota-Maharaj K, 2011, ROAD MATER PAVEMENT, V12, P315, DOI 10.3166/RMPD.12.315-344
   United Nations, 2012, The Millennium Development Goals report
   Winston R., 2011, EVALUATION PERMEABLE
   Woods Ballard B., 2015, THE SUDS MANUAL, P968
   Zhang PP, 2019, RESOUR CONSERV RECY, V142, P215, DOI 10.1016/j.resconrec.2018.11.018
   Zhang ZZ, 2019, URBAN FOR URBAN GREE, V38, P305, DOI 10.1016/j.ufug.2018.10.014
NR 40
TC 8
Z9 8
U1 2
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN 1
PY 2019
VL 11
IS 11
AR 3118
DI 10.3390/su11113118
PG 13
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA IE8OE
UT WOS:000472632200123
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Weckel, M
   Wincorn, A
AF Weckel, Mark
   Wincorn, Anastasia
TI Urban conservation: The northeastern coyote as a flagship species
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Cities; Northeastern coyote; Novel ecosystem; Resilience; Urban
   conservation
ID GENETIC-CHARACTERIZATION; ECOLOGICAL IMPACTS; ECOSYSTEM SERVICES;
   EASTERN WOLVES; GLOBAL CHANGE; BIODIVERSITY; WOLF; URBANIZATION;
   PERCEPTIONS; ANCESTRY
AB Flagship species have played an important role in defining and promoting various conservation causes. Over the past several years, the importance of and need for conservation in urban environments has grown as our cities and their footprints have dramatically expanded. Yet, cities face constant change and the mark of humans is the landscape's most prominent feature. This brings new challenges for practicing conservation in cities and in communicating its goals. In this essay, we demonstrate how a flagship species could be used to articulate the themes of urban conservation using the northeastern coyote or coywolf (Canis latrans var. or C latrans x lycaon) as an example. We demonstrate how the natural history of the northeastern coyote can serve as an entry point to conceptualizing and communicating key concepts including ecosystem novelty (e.g., the northeastern coyote as an unintentional, but anthropogenic hybrid of canid lineages), resilience thinking (e.g., the northeastern coyote as apex predator following a period of defaunation and continued predator control), and the breakdown of the human-nature divide (e.g., the northeastern coyote as possessing elements of wilderness despite being a product of anthropogenic change). These are ideas that have come to define, and challenge, the field of urban conservation. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Weckel, Mark] Amer Museum Nat Hist, Dept Educ, Ctr Biodivers & Conservat, Cent Pk W 79st, New York, NY 10024 USA.
   [Wincorn, Anastasia] Gotham Coyote Project, New York, NY USA.
C3 American Museum of Natural History (AMNH)
RP Weckel, M (corresponding author), Amer Museum Nat Hist, Dept Educ, Ctr Biodivers & Conservat, Cent Pk W 79st, New York, NY 10024 USA.
EM mweckel@amnh.org; awincorn@gmail.com
FU Doris Duke Charitable Foundation for American Museum of Natural
   History's Science Research Mentoring Program
FX We thank M. Blair, A. Porzecanski, and E. Sterling, for their valuable
   edits and comments guiding preparation of the manuscript. M. Weckel's
   postdoctoral fellowship was supported by a grant from the Doris Duke
   Charitable Foundation for the American Museum of Natural History's
   Science Research Mentoring Program.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   [Anonymous], THEORETICAL ECOLOGY
   Aronson MFJ, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.3330
   Bekoff M., 2003, Wild Mammals of North America: Biology, Management, and Conservation, VSecond, P467
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Cadenasso M., 2008, Cities and the Environment, V1, P4
   Caro TM, 1999, CONSERV BIOL, V13, P805, DOI 10.1046/j.1523-1739.1999.98338.x
   Cavin JS, 2013, BIOL CONSERV, V166, P84, DOI 10.1016/j.biocon.2013.06.015
   Clucas B, 2008, BIODIVERS CONSERV, V17, P1517, DOI 10.1007/s10531-008-9361-0
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Cole D.N., 2005, INT J WILDERNESS, V11, P23
   Cole DN, 1996, ECOL APPL, V6, P168, DOI 10.2307/2269562
   Côté SD, 2004, ANNU REV ECOL EVOL S, V35, P113, DOI 10.1146/annurev.ecolsys.35.021103.105725
   Croci S, 2008, CONDOR, V110, P223, DOI 10.1525/cond.2008.8409
   Cronon W, 1995, UNCOMMON GROUND, P69
   Dallimer M, 2012, BIOSCIENCE, V62, P47, DOI 10.1525/bio.2012.62.1.9
   Davis M, 2011, BIOSCIENCE, V61, P501, DOI 10.1525/bio.2011.61.7.2
   Davis M, 2011, NATURE, V474, P153, DOI 10.1038/474153a
   Davison Aidan, 2006, Australian Zoologist, V33, P306
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   Diemer M., 2003, INT J WILDERNESS, V9, P7
   Douglas LR, 2014, BIODIVERS CONSERV, V23, P979, DOI 10.1007/s10531-014-0647-0
   Dukes JS, 1999, TRENDS ECOL EVOL, V14, P135, DOI 10.1016/S0169-5347(98)01554-7
   Ehrenfeld JG, 2000, ECOL ENG, V15, P253, DOI 10.1016/S0925-8574(00)00080-X
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Ewel JJ, 2004, FRONT ECOL ENVIRON, V2, P354, DOI 10.1890/1540-9295(2004)002[0354:apfasi]2.0.co;2
   Gompper Matthew E., 2002, Wildlife Conservation Society Working Paper, V17, P1
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Heneghan L., 2012, Diversity, V4, P74, DOI 10.3390/d4010074
   Hobbs RJ, 2014, FRONT ECOL ENVIRON, V12, P557, DOI 10.1890/130300
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   IUCN Red List, 2013, CAN LATR AM JACK BRU
   Kareiva P, 2007, SCIENCE, V316, P1866, DOI 10.1126/science.1140170
   Kays R, 2010, BIOL LETTERS, V6, P89, DOI 10.1098/rsbl.2009.0575
   KELLERT SR, 1985, BIOL CONSERV, V31, P167, DOI 10.1016/0006-3207(85)90047-3
   Kellert SR, 1996, CONSERV BIOL, V10, P977, DOI 10.1046/j.1523-1739.1996.10040977.x
   Kiviat E, 2013, AOB PLANTS, V5, DOI 10.1093/aobpla/plt008
   Kowarik I, 2011, ENVIRON POLLUT, V159, P1974, DOI 10.1016/j.envpol.2011.02.022
   Kyle CJ, 2006, CONSERV GENET, V7, P273, DOI 10.1007/s10592-006-9130-0
   Mastro L. L., 2012, USDA NATL WILDLIFE R, V1165, P129
   McDonnell MJ, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P5
   McDonnell MJ, 2008, LANDSCAPE ECOL, V23, P1143, DOI 10.1007/s10980-008-9253-4
   McKinney M. L., 2008, Urban Ecosystems, V11, P161, DOI 10.1007/s11252-007-0045-4
   McLaughlan C, 2014, ACTA OECOL, V54, P119, DOI 10.1016/j.actao.2013.03.005
   Mech LD, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088861
   Mech LD, 2012, BIOL CONSERV, V150, P143, DOI 10.1016/j.biocon.2012.03.003
   Miller JR, 2002, CONSERV BIOL, V16, P330, DOI 10.1046/j.1523-1739.2002.00420.x
   Monzón J, 2014, MOL ECOL, V23, P182, DOI 10.1111/mec.12570
   Nagy C., 2011, Urban Habitats, V6
   Nekaris KAI, 2015, ANIMALS-BASEL, V5, P27, DOI 10.3390/ani5010027
   Parker G., 1995, Eastern coyote: the story of its success
   Parker SS, 2015, BIODIVERS CONSERV, V24, P683, DOI 10.1007/s10531-014-0832-1
   Perring MichaelP., 2013, ECOL PROCESS, V2, P18, DOI DOI 10.1186/2192-1709-2-18
   Pickett STA, 2013, ECOL ETHIC, V1, P265, DOI 10.1007/978-94-007-7470-4_23
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Pimentel D, 2005, ECOL ECON, V52, P273, DOI 10.1016/j.ecolecon.2004.10.002
   Poessel SA, 2013, J WILDLIFE MANAGE, V77, P297, DOI 10.1002/jwmg.454
   Rogalski MA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0044420
   Rosenzweig ML, 2003, ORYX, V37, P194, DOI 10.1017/S0030605303000371
   Sayer J, 2013, P NATL ACAD SCI USA, V110, P8349, DOI 10.1073/pnas.1210595110
   Schlaepfer MA, 2011, CONSERV BIOL, V25, P428, DOI 10.1111/j.1523-1739.2010.01646.x
   Siemer WF., 2014, Cities and the Environment, V7, P7
   Simberloff D., 2008, BIOL CONSERV, V83, P247
   Simberloff Daniel, 2015, F1000Prime Rep, V7, P47, DOI 10.12703/P7-47
   Simberloff D, 2014, ECOL ENG, V65, P112, DOI 10.1016/j.ecoleng.2013.08.004
   Simberloff D, 2013, TRENDS ECOL EVOL, V28, P58, DOI 10.1016/j.tree.2012.07.013
   Takahashi Y., 2012, HUM DIMENS WILDL, V17, P257, DOI [DOI 10.1080/10871209.2012.675622, 10.1080/10871209.2012.675622]
   Timm Robert M., 2004, Proceedings of the Vertebrate Pest Conference, V21, P47
   Toomey A.H., 2012, Wildlife Professional, V6, P54
   Treves A, 2013, CONSERV BIOL, V27, P315, DOI 10.1111/cobi.12009
   UNPD, 2014, World Urbanization Prospects: The 2014 Revision, Highlights
   Van Horn Gavin., 2012, Animals and the Human Imagination: A Companion To Animal Studies, P203
   Vilà M, 2011, ECOL LETT, V14, P702, DOI 10.1111/j.1461-0248.2011.01628.x
   Way J. G., 2009, ELECT J SCI ED, V13, P1
   Way Jonathan G., 2013, Canadian Field-Naturalist, V127, P1
   Way JG, 2010, NORTHEAST NAT, V17, P189, DOI 10.1656/045.017.0202
   Wheeldon T, 2010, BIOL LETTERS, V6, P246, DOI 10.1098/rsbl.2009.0822
   Wheeldon T, 2009, BIOL LETTERS, V5, P101, DOI 10.1098/rsbl.2008.0516
   White Lynsey A., 2009, Human Dimensions of Wildlife, V14, P419
   Wilson PJ, 2009, J HERED, V100, pS80, DOI 10.1093/jhered/esp034
NR 83
TC 8
Z9 14
U1 5
U2 112
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD JUN
PY 2016
VL 150
BP 10
EP 15
DI 10.1016/j.landurbplan.2016.01.006
PG 6
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA DK0TG
UT WOS:000374624500002
DA 2025-04-22
ER

PT J
AU Li, M
   Wang, HW
   Wang, HS
AF Li, Ming
   Wang, Hongwei
   Wang, Huashen
TI Resilience Assessment and Optimization for Urban Rail Transit Networks:
   A Case Study of Beijing Subway Network
SO IEEE ACCESS
LA English
DT Article
DE Subway network; graph theory; reasonable passageway; performance;
   resilience; genetic algorithm
ID ATTACK TOLERANCE; PASSENGER FLOW; ERROR; ROBUSTNESS; COMPLEXITY; SPEED
AB With the rapid development of urban rail transit, huge subway systems have been built, which is the best choice for people due to the efficiency, safety, and punctuality. Therefore, the ability of subway systems to resist failures especially interruptions has attracted the attention of operators. In the paper, based on the graph theory, a resilience assessment method is proposed to quantitatively measure the performance and recovery rapidity within unifying metrics and models. We represent the subway network with an undirected graph where the subway stations are described using the nodes whereas tracks are demonstrated with the edges. The performance evaluation of a subway network is implemented based on the assessment of passenger flow and topological structure of the network, where weighted degrees and the weighted sum of the reasonable passageway to the other nodes are considered. The resilience of a subway network can be associated to the network performance loss triangle over the relevant timeline from the occurrence of a random or intentional disruption to full recovery. The Beijing Subway is taken as the example to perform the proposed approach which is verified through the numerical results in the paper. Following the resilience evaluation, a structure optimization model with a computational algorithm is proposed. Based on the genetic algorithm, we achieved the solution results of the simplified network of the Beijing Subway. Several interesting conclusions are drawn from the results.
C1 [Li, Ming; Wang, Hongwei; Wang, Huashen] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China.
   [Wang, Hongwei; Wang, Huashen] Beijing Jiaotong Univ, Natl Railway Safety Assessment Res Ctr, Beijing 100044, Peoples R China.
C3 Beijing Jiaotong University; Beijing Jiaotong University
RP Li, M (corresponding author), Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China.
EM mingli@bjtu.edu.cn
RI WANG, HONGWEI/D-6507-2016; li, ming/AAS-5932-2020
FU National Natural Science Foundation of China [61790575, 61603031];
   Beijing Natural Science Foundation [L181004, RCS2018K008]; National Key
   Research and Development Program of the Chinese Ministry of Science and
   Technology [2016YFB1200602-26]
FX This work was supported in part by the National Natural Science
   Foundation of China under Grant 61790575 and Grant 61603031, in part by
   the Beijing Natural Science Foundation under Grant L181004, Projects
   RCS2018K008, and in part by the National Key Research and Development
   Program of the Chinese Ministry of Science and Technology under Grant
   2016YFB1200602-26.
CR Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   [Anonymous], J SOFTWARE
   Ayyub BM, 2015, ASCE-ASME J RISK U A, V1, DOI 10.1061/AJRUA6.0000826
   Berdica K., 2002, TRANSPORT POLICY, V9, P117, DOI DOI 10.1016/S0967-070X(02)00011-2
   Browning RC, 2006, J APPL PHYSIOL, V100, P390, DOI 10.1152/japplphysiol.00767.2005
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruyelle JL, 2014, SAFETY SCI, V62, P37, DOI 10.1016/j.ssci.2013.07.022
   Chen PY, 2014, IEEE COMMUN MAG, V52, P138, DOI 10.1109/MCOM.2014.6957154
   Crucitti P, 2004, PHYSICA A, V340, P388, DOI 10.1016/j.physa.2004.04.031
   Derrible S, 2010, PHYSICA A, V389, P3678, DOI 10.1016/j.physa.2010.04.008
   Derrible S, 2009, TRANSPORT RES REC, P17, DOI 10.3141/2112-03
   Dijkstra E.W., 1959, Numer. Math, V1, P269
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Frangopol DM, 2016, STRUCT INFRASTRUCT E, V12, P1, DOI 10.1080/15732479.2014.999794
   Ghosh A, 2006, IEEE DECIS CONTR P, P6605, DOI 10.1109/CDC.2006.377282
   Goldber D. E., 1988, Machine Learning, V3, P95, DOI 10.1023/A:1022602019183
   HANKIN BD, 1958, OPER RES QUART, V9, P81, DOI 10.2307/3006732
   Hollnagel E., 2006, Resilience engineering: Concepts and precepts
   Holmgren A, 2004, VULNERABILITY ANAL E, P32
   Huynh M, 2007, 2007 FOURTH INTERNATIONAL CONFERENCE ON BROADBAND COMMUNICATIONS, NETWORKS & SYSTEMS, VOLS 1 AND 2, P251, DOI 10.1109/BROADNETS.2007.4550433
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Li YP, 2014, INT J STEM EDUC, V1, DOI 10.1186/2196-7822-1-1
   Liu YJ, 2013, PROCD SOC BEHV, V96, P1611, DOI 10.1016/j.sbspro.2013.08.183
   Meng Q, 2005, J ADV TRANSPORT, V39, P193
   Mohler BJ, 2007, EXP BRAIN RES, V181, P221, DOI 10.1007/s00221-007-0917-0
   Resilience Alliance, 2007, Assessing Resilience in SocialEcological Systems: A Workbook for Scientists
   Resilience Alliance, 2010, Assessing resilience in social-ecological systems: workbook for practitioners revised version 2.0
   RUTTER M, 1987, AM J ORTHOPSYCHIAT, V57, P316, DOI 10.1111/j.1939-0025.1987.tb03541.x
   Scheffel MC, 2006, AEU-INT J ELECTRON C, V60, P35, DOI 10.1016/j.aeue.2005.10.007
   Sharifi M. S., 2016, NETWORKS, V14, P15
   Simonis H, 2006, LECT NOTES COMPUT SC, V4204, P16
   Sun YX, 2015, NEUROCOMPUTING, V166, P109, DOI 10.1016/j.neucom.2015.03.085
   van der Hurk E, 2015, IEEE T INTELL TRANSP, V16, P430, DOI 10.1109/TITS.2014.2333583
   von Ferber C, 2009, EUR PHYS J B, V68, P261, DOI 10.1140/epjb/e2009-00090-x
   Wang J, 2014, SAFETY SCI, V70, P339, DOI 10.1016/j.ssci.2014.07.014
   [王伟 Wang Wei], 2010, [北京交通大学学报. 自然科学版, Journal of Beijing Jiaotong University], V34, P148
   WHITLEY D, 1994, STAT COMPUT, V4, P65, DOI 10.1007/BF00175354
   Xiao Fan Wang, 2003, IEEE Circuits and Systems Magazine, V3, P6, DOI 10.1109/MCAS.2003.1228503
   Xu XY, 2019, TRANSPORTMETRICA B, V7, P446, DOI 10.1080/21680566.2018.1434020
   Yang X, 2017, IEEE T INTELL TRANSP, V18, P259, DOI 10.1109/TITS.2016.2566801
   Yang YH, 2015, SAFETY SCI, V79, P149, DOI 10.1016/j.ssci.2015.06.006
   Yongliang Deng, 2013, Journal of Networks, V8, P1350, DOI 10.4304/jnw.8.6.1350-1356
   Zhang JH, 2011, PHYSICA A, V390, P4562, DOI 10.1016/j.physa.2011.06.022
   Zhang LM, 2014, SAFETY SCI, V63, P8, DOI 10.1016/j.ssci.2013.10.016
NR 45
TC 50
Z9 51
U1 26
U2 215
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 2169-3536
J9 IEEE ACCESS
JI IEEE Access
PY 2019
VL 7
BP 71221
EP 71234
DI 10.1109/ACCESS.2019.2919105
PG 14
WC Computer Science, Information Systems; Engineering, Electrical &
   Electronic; Telecommunications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Telecommunications
GA ID8QS
UT WOS:000471950000001
OA gold
DA 2025-04-22
ER

PT J
AU Willetts, J
   Priadi, C
   Ombasta, O
   Wulandari, D
   Imtiyaz, I
   Sudhiastiningsih, NNSN
   Kohlitz, J
   Mills, F
   Listyasari, M
AF Willetts, Juliet
   Priadi, Cindy
   Ombasta, Osha
   Wulandari, Dwica
   Imtiyaz, Inas
   Sudhiastiningsih, Ni Nyoman Sri Natih
   Kohlitz, Jeremy
   Mills, Freya
   Listyasari, Maraita
TI Co-developing evidence-informed adaptation actions for resilient
   citywide sanitation: Local government response to climate change in
   Indonesia
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Climate change adaptation; sanitation; governance; co-production
ID SYSTEMS; WATER; GOVERNANCE; KNOWLEDGE; SCIENCE
AB Already climate-related hazards are impacting sanitation systems in Indonesia and elsewhere, and climate models indicate these hazards are likely to increase in frequency and intensity. Without due attention, to maintain existing progress on Sustainable Development Goal 6's target 6.2 and to increase it to meet ambitions for 2030 will be difficult. City governments need new forms of evidence to respond, as well as approaches to enable them to consider sufficient breadth of strategies to adapt effectively. This paper describes a co-production research process which engaged local governments in four cities in Indonesia experiencing different climate hazards. Local government engagement took place across three stages of (i) inception and design, (ii) participation as key informants and (iii) joint analysis and engagement on the findings. We adapted and simplified a risk prioritisation process based on current literature and employed a novel framework of a 'climate resilient sanitation system' to prompt articulation of current and proposed climate change adaptation response actions. In contrast to many current framings of climate resilience in sanitation that focus narrowly on technical responses, the results paint a rich picture of efforts needed by city governments across all domains, including planning, institutions, financing, infrastructure and management options, user awareness, water cycle management and monitoring and evaluation. Local government commitment and improved comprehension on the implications of climate change for sanitation service delivery were key outcomes arising from the co-production process. With strengthened policy and capacity building initiatives from national level, this foundation can be supported, and Indonesian city governments will be equipped to move forward with adaptation actions that protect on-going access to sanitation services, public health and the environment.
C1 [Willetts, Juliet; Kohlitz, Jeremy; Mills, Freya] Univ Technol Sydney, Inst Sustainable Futures, Broadway, NSW 2007, Australia.
   [Priadi, Cindy; Ombasta, Osha; Wulandari, Dwica; Imtiyaz, Inas] Univ Indonesia, Fac Engn, Dept Civil & Environm Engn, Depok, Indonesia.
   [Ombasta, Osha] Kajian Ufuk Indonesia Fdn, Depok, Indonesia.
   [Sudhiastiningsih, Ni Nyoman Sri Natih] Univ Indonesia, Dept Anthropol, Fac Social & Polit Sci, Depok, Indonesia.
   [Listyasari, Maraita] UNICEF, Jakarta, Indonesia.
C3 University of Technology Sydney; University of Indonesia; University of
   Indonesia
RP Willetts, J (corresponding author), Univ Technol Sydney, Inst Sustainable Futures, Broadway, NSW 2007, Australia.
EM Juliet.Willetts@uts.edu.au
OI Mills, Freya/0000-0003-3406-9076; Wulandari, Dwica/0000-0002-7612-286X;
   Kohlitz, Jeremy/0000-0002-4265-1632; Priadi, Cindy
   Rianti/0000-0002-5423-3446; Willetts, Juliet/0000-0002-3975-9642
FU UNICEF Indonesia [LRPS-2019-9153605]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This study
   was supported by UNICEF Indonesia [LRPS-2019-9153605].
CR Alhassan S, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14070749
   [Anonymous], 2018, Financing a Resilient Urban Future: A Policy Brief on World Bank and Global Experience on Financing Climate-Resilient Urban Infrastructure
   [Anonymous], 2016, Beyond political commitment to sanitation: navigating incentives for prioritisation and course correction in Ethiopia
   [Anonymous], 2021, Still Building: ProjectDiane 2021 Update
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Bill & Melinda Gates Foundation (BMGF) Emory University Plan International The University of Leeds WaterAid the World Bank, 2017, CIT INCL SAN CALL AC
   Borg FH, 2021, GLOBAL HEALTH ACTION, V14, DOI 10.1080/16549716.2021.1908064
   Chambers JM, 2021, NAT SUSTAIN, V4, P983, DOI 10.1038/s41893-021-00755-x
   Charles K., 2009, VISION 2030 RESILIEN
   Chong J, 2016, AQUAT PR, V6, P64, DOI 10.1016/j.aqpro.2016.06.008
   Clemenz N, 2020, J WATER CLIM CHANGE, V11, P1645, DOI 10.2166/wcc.2019.204
   Cooney CM, 2012, ENVIRON HEALTH PERSP, V120, pA22, DOI 10.1289/ehp.120-a22
   Dasgupta P, 2020, CLIM DEV, V12, P717, DOI 10.1080/17565529.2019.1682490
   Dickin S, 2020, NPJ CLEAN WATER, V3, DOI 10.1038/s41545-020-0072-8
   Ensor J, 2015, WIRES CLIM CHANGE, V6, P509, DOI 10.1002/wcc.348
   Gambrill M, 2020, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00201
   Global Water Partnership (GWP) and UNICEF, 2017, WASH CLIM RES DEV RI
   Gordon T., 2021, WATERLINES, V40
   Hallegatte S., 2019, Lifelines: The Resilient Infrastructure Opportunity. Sustainable Infrastructure
   Howard G, 2021, AQUA-UK, V70, P438, DOI 10.2166/aqua.2021.127
   Howard G, 2016, ANNU REV ENV RESOUR, V41, P253, DOI 10.1146/annurev-environ-110615-085856
   Howard G, 2010, J WATER CLIM CHANGE, V1, P2, DOI 10.2166/wcc.2010.205
   Huston A, 2018, BUILDING STRONG WASH
   Institute for Sustainable Futures University of Technology Sydney (ISF-UTS) and SNV, 2019, CONS CLIM CHANG URB
   ISF-UTS and SNV, 2019, CONS CLIM CHANG URB
   Klein JT, 2004, FUTURES, V36, P515, DOI 10.1016/j.futures.2003.10.007
   Kueffer C, 2019, GAIA, V28, P386, DOI 10.14512/gaia.28.4.12
   Levy K, 2018, CURR ENV HLTH REP, V5, P272, DOI 10.1007/s40572-018-0199-7
   Luh J, 2017, SCI TOTAL ENVIRON, V592, P334, DOI 10.1016/j.scitotenv.2017.03.084
   Luthi C., 2018, PERSPECTIVES INTEGRA, VVolume 1, P11
   Lüthi C, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.585418
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   Mills F, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00130
   Muradas P., 2021, AFRICAN HDB CLIMATE
   Ngoma J., 2008, EFFECTS CLIMATE CHAN
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Oates N., 2014, Adaptation to climate change in water, sanitation and hygiene: Assessing risks, appraising options in Africa
   Perard E, 2018, UTIL POLICY, V52, P22, DOI 10.1016/j.jup.2018.03.007
   Reymond P, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00072
   Schneider F, 2019, ENVIRON SCI POLICY, V102, P26, DOI 10.1016/j.envsci.2019.08.017
   Schrecongost A, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00019
   Sherpa AM, 2014, J WATER CLIM CHANGE, V5, P487, DOI 10.2166/wcc.2014.003
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   SUSENAS, 2020, NAT SOC EC SURV
   Teske Peter R., 2007, PLoS ONE, V2, P1
   Tschakert P, 2010, ECOL SOC, V15
   USAID, 2015, A Guide for USAID Project managers-Bridges. Incorporating climate change adaptation in infrastructure planning and design
   Vincent K, 2020, NAT CLIM CHANGE, V10, P877, DOI 10.1038/s41558-020-00910-w
   West S, 2020, ECOSYST PEOPLE, V16, P304, DOI 10.1080/26395916.2020.1814417
   WHO, 2019, CLIM SAN HLTH
   Willetts J, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00098
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   World Bank, 2020, PEOPL PRACT OP DEF P
   Wyborn C, 2019, ANNU REV ENV RESOUR, V44, P319, DOI [10.1146/annurev-environ-101718033103, 10.1146/annurev-environ-101718-033103]
NR 55
TC 13
Z9 13
U1 0
U2 21
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 2399-8083
EI 2399-8091
J9 ENVIRON PLAN B-URBAN
JI Env. Plan. B-Urban Anal. City Sci.
PD OCT
PY 2022
VL 49
IS 8
SI SI
BP 2129
EP 2150
AR 23998083221098740
DI 10.1177/23998083221098740
EA MAY 2022
PG 22
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA 5E2VI
UT WOS:000799883900001
OA hybrid
DA 2025-04-22
ER

PT J
AU Mulugetta, Y
   Broto, VC
AF Mulugetta, Yacob
   Broto, Vanesa Castan
TI Harnessing deep mitigation opportunities of urbanisation patterns in
   LDCs
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Review
ID CLIMATE-CHANGE MITIGATION; HEALTH CO-BENEFITS; CHALLENGES; GOVERNANCE;
   INSIGHTS; GROWTH
AB Cities offer enormous opportunities for climate action that would limit the temperature increase to 1.5 degrees C by 2100 above pre-industrial levels. For example, cities can act through planning and service delivery, bringing together residential, work and leisure in single spaces, and creating better connectivity between areas within and between cities. In Least Developed Countries (LDCs) cities offer multiple opportunities for low carbon innovations given that so much of the cities in LDCs are yet to be built and serviced. The development of high carbon strategies, on the other hand, poses the danger of long-term carbon lock-in and narrows the existing window of opportunity to act. This paper explores the low carbon opportunities and avoided future emissions that cities in LDCs can implement as part of their mitigation pathways. The paper makes the case that deep mitigation efforts in the context of LDCs will need to take place within the broader agenda of sustainable development, poverty reduction, and equity. Examples of transport, energy and low carbon urbanism are discussed as evidence that climate-resilient development, consistent with the 1.5 degrees C pathway, is already underway in some LDCs.
C1 [Mulugetta, Yacob] UCL, Dept Sci Technol Engn & Publ Policy STEaPP, Boston House,36-38 Fitzroy Sq, London W1T 6EY, England.
   [Broto, Vanesa Castan] Univ Sheffield, Urban Inst, Interdisciplinary Ctr Social Sci ICOSS, 219 Portobello, Sheffield S1 4DP, S Yorkshire, England.
C3 University of London; University College London; University of Sheffield
RP Mulugetta, Y (corresponding author), UCL, Dept Sci Technol Engn & Publ Policy STEaPP, Boston House,36-38 Fitzroy Sq, London W1T 6EY, England.
EM yacob.mulugetta@ucl.ac.uk
RI Broto, Vanesa/AAF-4485-2021
OI Castan Broto, Vanesa/0000-0002-3175-9859
CR Altieri KE, 2016, CLIM POLICY, V16, pS78, DOI 10.1080/14693062.2016.1150250
   Anenberg SC, 2012, ENVIRON HEALTH PERSP, V120, P831, DOI 10.1289/ehp.1104301
   [Anonymous], 2011, Ethiopia's Climate-Resilient Green Economy-Green Economy Strategy
   [Anonymous], MAPS PROVOCATEUR BRI
   [Anonymous], REG STUD
   [Anonymous], J PLAN ED RES
   [Anonymous], 01 LOND SCH EC POL S
   [Anonymous], 2011, I SECURITY STUDIES M
   [Anonymous], WORLD EC
   [Anonymous], POVERTY MILLENNIUM D
   [Anonymous], AGGR EFF INT NAT DET
   [Anonymous], 2016, URBAN SUSTAINABILITY
   [Anonymous], 2007, FREEDOM POVERTY HUMA
   [Anonymous], LOW CARBON AFRICA LE
   [Anonymous], 2016, Democracy Index 2015: Democracy in an Age of Anxiety
   [Anonymous], CROSS PURPOSES PARIS
   [Anonymous], NEW CLIM EC REP
   [Anonymous], MACR POL STRUCT TRAN
   [Anonymous], ADD AB GREENH GAS IN
   Ayers J, 2010, PROG DEV STUD, V10, P161, DOI 10.1177/146499340901000205
   Ayers JM, 2009, DEV POLICY REV, V27, P675, DOI 10.1111/j.1467-7679.2009.00465.x
   Bataille C, 2016, CLIM POLICY, V16, pS1, DOI 10.1080/14693062.2016.1179620
   Blimpo M, 2017, LEAPFROGGING KEY AFR
   Bollen J., 2009, Co-benefits of climate change mitigation policies: literature review and new results
   Boudreaux K, 2008, ECON AFFA, V28, P17, DOI 10.1111/j.1468-0270.2008.00818.x
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Calvin K, 2016, CLIMATIC CHANGE, V136, P109, DOI 10.1007/s10584-013-0964-4
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Casta, 2016, CLIM POLICY, P1
   Cirolia LR, 2017, HABITAT INT, V59, P71, DOI 10.1016/j.habitatint.2016.11.005
   Cole DH, 2015, NAT CLIM CHANGE, V5, P114, DOI 10.1038/NCLIMATE2490
   Cullet P, 2010, RES HB INT LAW, P161
   Frediani A.A., 2007, J HUMAN DEV, V8, P133
   Harlan SL, 2011, CURR OPIN ENV SUST, V3, P126, DOI 10.1016/j.cosust.2011.01.001
   Jackson T., 2017, Prosperity without growth: Economics for a finite planet, V2nd
   Keohane RO, 2016, NAT CLIM CHANGE, V6, P570, DOI 10.1038/NCLIMATE2937
   Lucas PL, 2015, ENERG POLICY, V86, P705, DOI 10.1016/j.enpol.2015.08.017
   Munro P, 2017, ENERG POLICY, V105, P635, DOI 10.1016/j.enpol.2017.01.038
   Nemet GF, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014007
   Newell P, 2017, CLIM POLICY, V17, P650, DOI 10.1080/14693062.2016.1173003
   Ngepah N, 2017, CURR OPIN ENV SUST, V24, P52, DOI 10.1016/j.cosust.2017.01.008
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15176, DOI 10.1073/pnas.0701886104
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pieterse E., 2014, AFRICAS URBAN REVOLU, P1, DOI DOI 10.5040/9781350218246.CH-001
   Potts D, 2016, GEOGR J, V182, P251, DOI 10.1111/geoj.12139
   de Oliveira JAP, 2016, ENVIRON INT, V97, P146, DOI 10.1016/j.envint.2016.08.020
   Rashidi K, 2017, SUSTAIN CITIES SOC, V34, P69, DOI 10.1016/j.scs.2017.06.003
   Roberts D, 2013, ENVIRON URBAN, V25, P299, DOI 10.1177/0956247813500904
   Solecki W, 2015, URBAN CLIM, V14, P116, DOI 10.1016/j.uclim.2015.07.001
   Turok I., 2014, Africa's urban revolution, P60
   Watson V, 2014, ENVIRON URBAN, V26, P215, DOI 10.1177/0956247813513705
   Watson V, 2009, PROG PLANN, V72, P151, DOI 10.1016/j.progress.2009.06.002
   Williams J.H., 2015, Pathways to Deep Decarbonization Revision with technical supplement
   Younger M, 2008, AM J PREV MED, V35, P517, DOI 10.1016/j.amepre.2008.08.017
NR 54
TC 3
Z9 3
U1 0
U2 20
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD FEB
PY 2018
VL 30
BP 82
EP 88
DI 10.1016/j.cosust.2018.03.007
PG 7
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA GT5BS
UT WOS:000444521500012
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Johnson, T
   Butcher, J
   Santell, S
   Schwartz, S
   Julius, S
   LeDuc, S
AF Johnson, Thomas
   Butcher, Jonathan
   Santell, Stephanie
   Schwartz, Sara
   Julius, Susan
   LeDuc, Stephen
TI A review of climate change effects on practices for mitigating water
   quality impacts
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Review
DE adaptation; best management practices; climate change; conservation
   practices; resilience
ID SOIL-EROSION; PRACTICE IMPLEMENTATION; EXTREME PRECIPITATION;
   MANAGEMENT-PRACTICES; CHANGE UNCERTAINTY; URBAN-DEVELOPMENT; CHANGE
   ADAPTATION; RUNOFF; STRATEGIES; DESIGN
AB Water quality practices are commonly implemented to reduce human impacts on land and water resources. In series or parallel in a landscape, systems of practices can reduce local and downstream pollution delivery. Many practices function via physical, chemical, and biological processes that are dependent on weather and climate. Climate change will alter the function of many such systems, though effects will vary in different hydroclimatic and watershed settings. Reducing the risk of impacts will require risk-based, adaptive planning. Here, we review the literature addressing climate change effects on practices commonly used to mitigate the water quality impacts of urban stormwater, agriculture, and forestry. Information from the general literature review is used to make qualitative inferences about the resilience of different types of practices. We discuss resilience in the context of two factors: the sensitivity of practice function to changes in climatic drivers, and the adaptability, or relative ease with which a practice can be modified as change occurs. While only a first step in addressing a complex topic, our aim is to help communities incorporate consideration of resilience to climate change as an additional factor in decisions about water quality practices to meet long-term goals.
C1 [Johnson, Thomas; Julius, Susan] EPA ORD, 1200 Penn Ave NW, Washington, DC 20460 USA.
   [Butcher, Jonathan] Tetra Tech Inc, POB 14409, Res Triangle Pk, NC 27709 USA.
   [Santell, Stephanie; Schwartz, Sara] EPA OW, 1200 Penn Ave NW, Washington, DC 20460 USA.
   [LeDuc, Stephen] EPA ORD, 109 TW Alexander Dr, Res Triangle Pk, NC 27709 USA.
RP Johnson, T (corresponding author), EPA ORD, 1200 Penn Ave NW, Washington, DC 20460 USA.
EM johnson.thomas@epa.gov
RI Butcher, Jonathan/D-2280-2012
OI LeDuc, Stephen/0000-0003-2908-0000; Johnson, Thomas
   E./0000-0003-4073-938X; Butcher, Jonathan/0000-0002-1894-4419
CR Adams HD, 2012, ECOHYDROLOGY, V5, P145, DOI 10.1002/eco.233
   Akay AE, 2005, WEST J APPL FOR, V20, P184, DOI 10.1093/wjaf/20.3.184
   [Anonymous], 2014, Forest Research
   Arisz H, 2006, 2006 IEEE EIC CLIMATE CHANGE CONFERENCE, VOLS 1 AND 2, P682
   Arnbjerg-Nielsen K, 2012, URBAN WATER J, V9, P57, DOI 10.1080/1573062X.2011.630091
   Berndtsson JC, 2010, ECOL ENG, V36, P351, DOI 10.1016/j.ecoleng.2009.12.014
   BESSIE WC, 1995, ECOLOGY, V76, P747, DOI 10.2307/1939341
   Black A., 2004, RMRSRN236WWW DEP AGR
   Bosch NS, 2014, J GREAT LAKES RES, V40, P581, DOI 10.1016/j.jglr.2014.04.011
   Breshears DD, 2005, P NATL ACAD SCI USA, V102, P15144, DOI 10.1073/pnas.0505734102
   Butcher J., 2013, EPA600R12058F NAT CT
   Butcher J.B., 2016, EPA600R14233 NAT HLT
   Butcher JB, 2021, J WATER RES PLAN MAN, V147, DOI 10.1061/(ASCE)WR.1943-5452.0001448
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Chiang LC, 2012, INT J ENV RES PUB HE, V9, P3654, DOI 10.3390/ijerph9103654
   Claytor R., 1996, DESIGN STORMWATER FI
   Coffey R, 2020, T ASABE, V63, P753, DOI 10.13031/trans.13630
   Coffey R, 2019, J AM WATER RESOUR AS, V55, P844, DOI 10.1111/1752-1688.12711
   Dakhlalla AO, 2016, WATER RESOUR MANAG, V30, P963, DOI 10.1007/s11269-015-1202-9
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Davis AP, 2009, J ENVIRON ENG, V135, P109, DOI 10.1061/(ASCE)0733-9372(2009)135:3(109)
   Doppelt B., 2009, PREPARING CLIMATE CH
   Elliot W.J., 2009, Planning for an Uncertain Future-Monitoring, Integration, P117
   Ferrell G.T., 1996, SIERRA NEVADA ECOSYS, V2
   Forsee WJ, 2011, J HYDROL ENG, V16, P865, DOI 10.1061/(ASCE)HE.1943-5584.0000383
   Gallo C, 2012, LANDSCAPE URBAN PLAN, V106, P326, DOI 10.1016/j.landurbplan.2012.04.004
   Garbrecht JD, 2014, J SOIL WATER CONSERV, V69, P374, DOI 10.2489/jswc.69.5.374
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Grace JM, 2007, T ASABE, V50, P1579, DOI 10.13031/2013.23969
   Groves DG, 2007, GLOBAL ENVIRON CHANG, V17, P73, DOI 10.1016/j.gloenvcha.2006.11.006
   Gumus S, 2008, ENVIRON MONIT ASSESS, V142, P109, DOI 10.1007/s10661-007-9912-y
   Hamlet AF, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005099
   Hatfield JL, 2004, J SOIL WATER CONSERV, V59, P51
   Hewlett J. D., 1982, Principles of forest hydrology.
   Hoffman J., 2014, CLIMATE SMART CONSER
   Huard D, 2010, STOCH ENV RES RISK A, V24, P337, DOI 10.1007/s00477-009-0323-1
   Hunt W. F., 2012, Journal of Environmental Engineering, V138, P698, DOI 10.1061/(ASCE)EE.1943-7870.0000504
   Isaak DJ, 2012, CLIMATIC CHANGE, V113, P499, DOI 10.1007/s10584-011-0326-z
   Job SC, 2020, WATER ENVIRON RES, V92, P2178, DOI 10.1002/wer.1302
   Johnson T, 2015, J AM WATER RESOUR AS, V51, P1321, DOI 10.1111/1752-1688.12308
   Jones JA, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002952
   Kadlec R.H., 1996, Treatment Wetlands
   Karamouz M, 2011, J HYDROL ENG, V16, P395, DOI 10.1061/(ASCE)HE.1943-5584.0000317
   Kaushal SS, 2010, FRONT ECOL ENVIRON, V8, P461, DOI 10.1890/090037
   Kessler R, 2011, ENVIRON HEALTH PERSP, V119, pA514, DOI 10.1289/ehp.119-a514
   Khan UT, 2012, CAN J CIVIL ENG, V39, P1210, DOI [10.1139/L2012-110, 10.1139/l2012-110]
   Kirchmeier-Young MC, 2020, P NATL ACAD SCI USA, V117, P13308, DOI 10.1073/pnas.1921628117
   Lee S, 2017, T ASABE, V60, P1939, DOI 10.13031/trans.12390
   Liu XM, 2008, J ENVIRON QUAL, V37, P1667, DOI 10.2134/jeq2007.0437
   Liu YongBo Liu YongBo, 2016, Journal of Sustainable Development, V9, P245
   Mailhot A, 2010, J WATER RES PLAN MAN, V136, P201, DOI 10.1061/(ASCE)WR.1943-5452.0000023
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   Mellander PE, 2015, HYDROL PROCESS, V29, P3504, DOI 10.1002/hyp.10415
   Mote PW, 2003, CLIMATIC CHANGE, V61, P45, DOI 10.1023/A:1026302914358
   Nearing MA, 2005, CATENA, V61, P131, DOI 10.1016/j.catena.2005.03.007
   Nearing MA, 2004, J SOIL WATER CONSERV, V59, P43
   Neary DG, 2009, FOREST ECOL MANAG, V258, P2269, DOI 10.1016/j.foreco.2009.05.027
   Neitsch S., 2011, Texas Water Resources Institute Technical Report 406
   Newcomer ME, 2014, WATER RESOUR RES, V50, P1716, DOI 10.1002/2013WR014282
   O'Neal MR, 2005, CATENA, V61, P165, DOI 10.1016/j.catena.2005.03.003
   Ogden AE, 2008, MITIG ADAPT STRAT GL, V13, P833, DOI 10.1007/s11027-008-9144-7
   OSBORNE LL, 1993, FRESHWATER BIOL, V29, P243, DOI 10.1111/j.1365-2427.1993.tb00761.x
   Osman K.T., 2013, Forest Soil Book, P63, DOI [10.1007/978-3-319-02541-44, DOI 10.1007/978-3-319-02541-44, DOI 10.1007/978-3-319-02541-4_4]
   Paul MJ, 2019, J AM WATER RESOUR AS, V55, P824, DOI 10.1111/1752-1688.12710
   Pyke C, 2011, LANDSCAPE URBAN PLAN, V103, P166, DOI 10.1016/j.landurbplan.2011.07.006
   Refsgaard JC, 2013, MITIG ADAPT STRAT GL, V18, P337, DOI 10.1007/s11027-012-9366-6
   Roseen RM, 2009, J ENVIRON ENG, V135, P128, DOI 10.1061/(ASCE)0733-9372(2009)135:3(128)
   Rossman, 2014, EPA600R13085B WAT SU
   Rounsevell MDA, 1999, CLIMATIC CHANGE, V43, P683, DOI 10.1023/A:1005597216804
   Rustad L., 2011, GEN TECHNICAL REPORT
   Sarkar S, 2018, EARTH INTERACT, V22, P1, DOI 10.1175/EI-D-17-0015.1
   Savory A., 1999, Holistic Management: A Framework for Decision Making. The Center for Resource Economics
   Schmidt ML, 2019, T ASABE, V62, P1021, DOI 10.13031/trans.13292
   Seavy N. E., 2009, Ecological Restoration, V27, P330, DOI 10.3368/er.27.3.330
   Semadeni-Davies A, 2008, J HYDROL, V350, P100, DOI 10.1016/j.jhydrol.2007.05.028
   Semadeni-Davies A, 2008, J HYDROL, V350, P114, DOI 10.1016/j.jhydrol.2007.11.006
   Semadeni-Davies A, 2012, J WATER CLIM CHANGE, V3, P239, DOI 10.2166/wcc.2012.043
   SFC (Standing Forestry Committee) Ad Hoc Working Group III on Climate Change and Forestry, 2010, CLIMATE CHANGE FORES
   Sohn W, 2019, J ENVIRON MANAGE, V236, P365, DOI 10.1016/j.jenvman.2018.11.041
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Srivastav RK, 2014, WATER RESOUR MANAG, V28, P2539, DOI 10.1007/s11269-014-0626-y
   Swanston CW., 2016, Forest Adaptation Resources: climate change tools and approaches for land managers, V2nd, DOI [10.2737/NRS-GTR-87-2, DOI 10.2737/NRS-GTR-87-2]
   Swetnam TW, 1998, J CLIMATE, V11, P3128, DOI 10.1175/1520-0442(1998)011<3128:MDAERT>2.0.CO;2
   Tague CL, 2004, EARTH INTERACT, V8
   Tirpak RA, 2021, J ENVIRON MANAGE, V287, DOI 10.1016/j.jenvman.2021.112300
   Tomer MD, 2014, J SOIL WATER CONSERV, V69, P365, DOI 10.2489/jswc.69.5.365
   UAF (University of Alaska Fairbanks), 2017, KEEP FOR SUST
   USDA-NRCS, 2015, SOIL HLTH LIT SUMM E
   USEPA, 2018, EPA600R17469F
   USEPA (U.S. Environmental Protection Agency), 2007, 841F07006 USEPA
   USGCRP (U.S. Global Change Research Program), 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, DOI DOI 10.7930/NCA4.2018
   USGS, 1997, 09397 USGS FS
   Van Liew M. W., 2012, International Journal of Agricultural and Biological Engineering, V5, P13
   van Oldenborgh GJ, 2021, CLIMATIC CHANGE, V166, DOI 10.1007/s10584-021-03071-7
   Vose J.M., 2011, P WORKSH HELD 25 IUG
   Wallace CW, 2017, AGR WATER MANAGE, V186, P51, DOI 10.1016/j.agwat.2017.02.014
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Walsh J., 2014, Climate change impacts in the United States: the third national climate assessment
   Wang RZ, 2019, J ENVIRON MANAGE, V242, P403, DOI 10.1016/j.jenvman.2019.04.064
   Williams B. K., 2011, Journal of Environmental Management, V92, P1346, DOI 10.1016/j.jenvman.2010.10.041
   Woznicki SA, 2011, T ASABE, V54, P171
   Woznicki SA, 2014, HYDROL PROCESS, V28, P2550, DOI 10.1002/hyp.9804
   Woznicki SA, 2012, J AM WATER RESOUR AS, V48, P90, DOI 10.1111/j.1752-1688.2011.00598.x
   Wuebbles D.J., 2017, CLIMATE SCI SPECIAL, P470, DOI DOI 10.7930/J0J964J6
   Yasarer LMW, 2017, APPL ENG AGRIC, V33, P379, DOI 10.13031/aea.12047
   Yonce HN, 2021, J WATER CLIM CHANGE, V12, P1404, DOI 10.2166/wcc.2020.031
NR 107
TC 13
Z9 15
U1 5
U2 41
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2040-2244
EI 2408-9354
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD APR
PY 2022
VL 13
IS 4
BP 1684
EP 1705
DI 10.2166/wcc.2022.363
EA MAR 2022
PG 22
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 0U0ZZ
UT WOS:000771574300001
PM 36590233
OA Green Accepted, gold
DA 2025-04-22
ER

PT J
AU Zeng, P
   Sun, FY
   Liu, YY
   Chen, C
   Tian, T
   Dong, QQ
   Che, Y
AF Zeng, Peng
   Sun, Fengyun
   Liu, Yaoyi
   Chen, Cheng
   Tian, Tian
   Dong, Qianqian
   Che, Yue
TI Significant social inequalities exist between hot and cold extremes
   along urban-rural gradients
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Social inequality; Heat wave event; Cold wave event; Exposure risk;
   Urban resilience
ID CLIMATE-CHANGE; THERMAL SENSATION; EXCESS MORTALITY; HEAT WAVES;
   COMFORT; PROJECTIONS; HEALTH; UTCI
AB Frequent weather extremes can exacerbate environmental injustices arising from the unequal distribution of public resources. To improve urban resilience, social inequality in exposure to heat wave events (HEs) is gradually attracting attention. However, few studies have focused on cold wave events (CEs), even though CEs can cause as much damage as HEs. Thus, a geographically weighted regression model is used to explore exposure inequalities among sensitive populations in CEs and urban-rural differences between social inequalities in exposure to HEs and CEs. Results show that children and ethnic minorities in low-urbanization areas and residents of vulnerable housing in high-urbanization areas are vulnerable to CEs. Females and drivers are vulnerable to CEs in all areas. However, inequality in HEs is most pronounced among the elderly, those with low levels of education, and outdoor workers. Exposure inequality increases with decreasing urbanization among the elderly, while the opposite is true for outdoor workers. Females are severely threatened by HEs in suburban and rural areas. Finally, we propose targeted recommendations based on the findings, such as strengthening medical coverage for empty nesters and introducing policies to safeguard cold work. We hope this study can provide a reference for guaranteeing equality in resilient urban planning.
C1 [Zeng, Peng; Liu, Yaoyi; Chen, Cheng; Tian, Tian; Dong, Qianqian; Che, Yue] East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China.
   [Zeng, Peng; Liu, Yaoyi; Chen, Cheng; Tian, Tian; Dong, Qianqian; Che, Yue] East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai 200241, Peoples R China.
   [Zeng, Peng; Liu, Yaoyi; Chen, Cheng; Tian, Tian; Dong, Qianqian; Che, Yue] Inst Ecochongming IEC, Shanghai 200062, Peoples R China.
   [Sun, Fengyun] Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China.
C3 East China Normal University; East China Normal University; Shanghai
   Normal University
RP Che, Y (corresponding author), East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China.
EM yche@des.ecnu.edu.cn
RI Zeng, Peng/KMX-9694-2024
OI Zeng, Peng/0000-0002-2547-1437
FU Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration
   [SHUES2020A09]
FX Acknowledgments This work was supported by the Shanghai Key Lab for
   Urban Ecological Processes and Eco-Restoration (Grant No. SHUES2020A09)
   .
CR Barnett AG, 2012, ENVIRON RES, V112, P218, DOI 10.1016/j.envres.2011.12.010
   BELSLEY DA, 1982, J ECONOMETRICS, V20, P211, DOI 10.1016/0304-4076(82)90020-3
   Benz SA, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002016
   Blazejczyk K., 2001, Proceedings of the First international Workshop on Climate Tourism and Recreation, Neos Marmaras, Greece, P133
   Blazejczyk K, 2012, INT J BIOMETEOROL, V56, P515, DOI 10.1007/s00484-011-0453-2
   Cai F, 2012, DIR DEV, P1, DOI 10.1596/978-0-8213-8903-4
   Cao Z, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133759
   Carmona R, 2016, ENVIRON INT, V91, P22, DOI 10.1016/j.envint.2016.02.018
   Chakraborty T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3b99
   Deng QH, 2017, SCI TOTAL ENVIRON, V578, P242, DOI 10.1016/j.scitotenv.2016.05.172
   Dong JQ, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103907
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Frye EA, 2019, ENVIRON JUSTICE, V12, P226, DOI 10.1089/env.2018.0030
   Fujimoto A, 2012, J APPL METEOROL CLIM, V51, P1980, DOI 10.1175/JAMC-D-11-0156.1
   Gabbe CJ, 2020, HOUS POLICY DEBATE, V30, P843, DOI 10.1080/10511482.2020.1768574
   Gasparrini A, 2017, LANCET PLANET HEALTH, V1, pE360, DOI 10.1016/S2542-5196(17)30156-0
   Gronlund CJ, 2018, MATURITAS, V114, P54, DOI 10.1016/j.maturitas.2018.06.002
   Hajat S, 2014, J EPIDEMIOL COMMUN H, V68, P641, DOI 10.1136/jech-2013-202449
   He BJ, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103361
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Jendritzky G, 2012, INT J BIOMETEOROL, V56, P421, DOI 10.1007/s00484-011-0513-7
   Karjalainen S, 2012, INDOOR AIR, V22, P96, DOI 10.1111/j.1600-0668.2011.00747.x
   Kaymierczak Aleksandra, 2018, EEA Report
   Knyazeva K., 2018, Shanghai Old Town: The Walled City
   Kysely J, 2009, BMC PUBLIC HEALTH, V9, DOI 10.1186/1471-2458-9-19
   Li HY, 2010, AEROSOL AIR QUAL RES, V10, P95, DOI 10.4209/aaqr.2009.08.0049
   Lu S, 2016, INT J SOC WELF, V25, P58, DOI 10.1111/ijsw.12162
   Macintyre HL, 2021, ENVIRON INT, V154, DOI 10.1016/j.envint.2021.106530
   Mashhoodi B, 2021, URBAN CLIM, V40, DOI 10.1016/j.uclim.2021.101004
   Mashhoodi B, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102810
   Ministry of Emergency Management of the People's Republic of China, 2012, MAN MEAS PREV HEATST
   Mitchell BC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115005
   Moda HM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16183458
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Nairn J, 2009, P MOD UND HIGH IMP W, V17, P83, DOI DOI 10.1002/PSC
   Nakaya T., 2009, Semiparametric geographically weighted generalised linear modelling in GWR 4.0
   National Bureau of Statistics of China, 2011, B 6 NATL CENS
   National Bureau of Statistics of China, 2021, B 7 NATL CENS
   Nielsen TAS, 2015, RES TRANSP ECON, V51, P10, DOI 10.1016/j.retrec.2015.07.003
   O'Neill MS, 2009, MATURITAS, V64, P98, DOI 10.1016/j.maturitas.2009.08.005
   Perkins SE, 2013, J CLIMATE, V26, P4500, DOI 10.1175/JCLI-D-12-00383.1
   Piticar A, 2018, INT J CLIMATOL, V38, P1777, DOI 10.1002/joc.5295
   Renteria R, 2022, ENVIRON RES, V203, DOI 10.1016/j.envres.2021.111805
   Roy S, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100593
   Sadeghi M, 2021, BUILD ENVIRON, V200, DOI 10.1016/j.buildenv.2021.107947
   Shanghai Ethnic and Religions, 2019, BRIEF INTR ETHN MIN
   Shanghai Housing Administration Bureau, 2022, NOT FURTH CLAR REQ T
   Sharifi A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103190
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi F, 2021, ENVIRON SCI POLICY, V120, P118, DOI 10.1016/j.envsci.2021.03.008
   Summary for Policymakers, CLIMATE CHANGE 2021, P2
   United States Department of Labor, 2021, US DEP LAB ANN ENH E
   Vardoulakis S, 2014, ENVIRON HEALTH PERSP, V122, P1285, DOI 10.1289/ehp.1307524
   Wang Z, 2018, BUILD ENVIRON, V138, P181, DOI 10.1016/j.buildenv.2018.04.040
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wu XG, 2018, CHINA REV, V18, P185
   Yang J, 2014, APPL GEOCHEM, V44, P54, DOI 10.1016/j.apgeochem.2013.08.007
   Yang Z.J., 2020, URBAN DEV STUD, V27, P13
   Yanovich R, 2020, PHYSIOLOGY, V35, P177, DOI 10.1152/physiol.00035.2019
   Zare S, 2018, WEATHER CLIM EXTREME, V19, P49, DOI 10.1016/j.wace.2018.01.004
   Zeng P., 2022, SUSTAIN CITIES SOC, V78, DOI DOI 10.1016/J.SCS.2021.103599
   Zhao L., 2017, CHIN YOUTH STUD, V6, P75
   Zhou XJ, 2020, BUILD ENVIRON, V183, DOI 10.1016/j.buildenv.2020.107219
NR 63
TC 19
Z9 20
U1 19
U2 116
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD JUL
PY 2022
VL 82
AR 103899
DI 10.1016/j.scs.2022.103899
EA APR 2022
PG 13
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA 1F3KP
UT WOS:000795070300002
DA 2025-04-22
ER

PT J
AU Zhang, ZY
   Paschalis, A
   Mijic, A
AF Zhang, Ziyan
   Paschalis, Athanasios
   Mijic, Ana
TI Planning London's green spaces in an integrated water management
   approach to enhance future resilience in urban stormwater control
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Atmospheric CO2 enrichment; Climate change; Green Infrastructure;
   London; Plant water stress; Stormwater control
ID GROUND SURFACE-TEMPERATURE; SENSIBLE HEAT-FLUX; EDDY COVARIANCE;
   ECOSYSTEM WATER; ATMOSPHERIC CO2; CARBON-CYCLE; FLOOD RISK; CLIMATE;
   IMPACT; VARIABILITY
AB Vegetation, as a fundamental element of urban green infrastructure, plays a vital role in mitigating urban flooding. Green infrastructure performance in mitigating floods depends on plant responses to meteorological forcing. This puts urban green infrastructure in risk under a changing climate. In this study, the resilience and efficiency of London's green infrastructure under climate change is evaluated. The coupled water and carbon dynamics were evaluated using a mechanistic ecohydrological model forced with the new generation of 2018 UK Climate Projections (UKCP18).
   It was found that despite overall reductions of runoff production in London under climate change in winter/autumn, current urban green infrastructure in London can lose its efficiency due to the elevated levels of plant water stress unless it operates in an integrated manner with the traditional grey infrastructure drainage system. Plant water stress induced mostly by changes in climate is expected to limit vegetation performance during the end of growing seasons. The negative effects of varying climatic factors on vegetation dynamics can only be partially alleviated by the positive effects of the elevated CO2 concentration level, and are highly uncertain due to the large uncertainty of climate projections.
C1 [Zhang, Ziyan; Paschalis, Athanasios; Mijic, Ana] Imperial Coll London, Dept Civil & Environm Engn, London, England.
C3 Imperial College London
RP Zhang, ZY (corresponding author), Imperial Coll London, Dept Civil & Environm Engn, London, England.
EM ziyan.zhang14@imperial.ac.uk
FU  [NE/S003495/1]; NERC [NE/S003495/1] Funding Source: UKRI
FX We would like to thank the Editor, Prof Sally Thompson, and three
   anonymous referees for their comments that significantly improved the
   manuscript. This research was supported by the CAMELLIA project
   (Community Water Management for a Liveable London) in London
   (NE/S003495/1).
CR Ahiablame LM, 2012, WATER AIR SOIL POLL, V223, P4253, DOI 10.1007/s11270-012-1189-2
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Ana EV, 2010, URBAN WATER J, V7, P47, DOI 10.1080/15730620903447597
   [Anonymous], 2015, The SuDS Manual
   [Anonymous], 2012, Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations Data (1853-current)25-10-2022
   Berland A, 2017, LANDSCAPE URBAN PLAN, V162, P167, DOI 10.1016/j.landurbplan.2017.02.017
   Bowen KJ, 2017, CURR OPIN ENV SUST, V25, P90, DOI 10.1016/j.cosust.2017.08.003
   Bozovic R., 2017, BLUE GREEN SOLUTIONS
   Buermann W, 2018, NATURE, V562, P110, DOI 10.1038/s41586-018-0555-7
   Chow WTL, 2014, INT J CLIMATOL, V34, P3863, DOI 10.1002/joc.3947
   Coulthard TJ, 2016, EARTH SURF DYNAM, V4, P757, DOI 10.5194/esurf-4-757-2016
   Dai YJ, 2004, J CLIMATE, V17, P2281, DOI 10.1175/1520-0442(2004)017<2281:ATMFCT>2.0.CO;2
   DEARDORFF JW, 1978, J GEOPHYS RES-OCEANS, V83, P1889, DOI 10.1029/JC083iC04p01889
   DEFRA, 2015, CREAT RIV THAM FIT O
   DICKINSON RE, 1983, ADV GEOPHYS, V25, P305
   Dobson B, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb050
   Douglas I, 2010, J FLOOD RISK MANAG, V3, P112, DOI 10.1111/j.1753-318X.2010.01061.x
   Esperon-Rodriguez M, 2019, PLANTS PEOPLE PLANET, V1, P387, DOI 10.1002/ppp3.10064
   Farewell T. S., 2011, The derivation and application of Soilscapes: soil and environmental datasets from the National Soil Resources Institute
   Fatichi S, 2012, J ADV MODEL EARTH SY, V4, DOI 10.1029/2011MS000086
   Fatichi S, 2016, P NATL ACAD SCI USA, V113, P12757, DOI 10.1073/pnas.1605036113
   Fatichi S, 2016, EARTHS FUTURE, V4, P240, DOI 10.1002/2015EF000336
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Fooks M., 2020, NONDOMESTIC NATL ENE, P46
   Forkel M, 2015, GLOBAL CHANGE BIOL, V21, P3414, DOI 10.1111/gcb.12950
   Fowler MD, 2019, NAT CLIM CHANGE, V9, P873, DOI 10.1038/s41558-019-0602-x
   Garg A, 2017, MEASUREMENT, V111, P351, DOI 10.1016/j.measurement.2017.07.026
   Gohar L., 2018, UKCP18 Derived Projections of Future Climate over the UK
   Gotsch SG, 2018, URBAN ECOSYST, V21, P183, DOI 10.1007/s11252-017-0693-y
   Greater London Authority, 2018, LOND ENV STRAT, DOI [10.1016/j.bbabio.2006.11.011, DOI 10.1016/J.BBABIO.2006.11.011]
   Greater London Authority, 2019, GREEN IS LONDON
   Haghighatafshar S, 2018, J ENVIRON MANAGE, V207, P60, DOI 10.1016/j.jenvman.2017.11.018
   HU ZL, 1995, WATER RESOUR RES, V31, P2531, DOI 10.1029/95WR01650
   i-Tree, 2015, VALUING LONDONS URBA
   Ivanov VY, 2008, WATER RESOUR RES, V44, DOI 10.1029/2006WR005588
   Jenkins K, 2018, RISK ANAL, V38, P1169, DOI 10.1111/risa.12930
   Jha AK, 2012, CITIES AND FLOODING: A GUIDE TO INTEGRATED URBAN FLOOD RISK MANAGEMENT FOR THE 21ST CENTURY, P1, DOI 10.1596/978-0-8213-8866-2
   Jiao Y, 2017, J HYDROL, V551, P116, DOI 10.1016/j.jhydrol.2017.05.060
   Jin HX, 2019, INT J BIOMETEOROL, V63, P763, DOI 10.1007/s00484-019-01690-5
   Kazmierczak A, 2011, LANDSCAPE URBAN PLAN, V103, P185, DOI 10.1016/j.landurbplan.2011.07.008
   Keenan TF, 2014, NAT CLIM CHANGE, V4, P598, DOI [10.1038/nclimate2253, 10.1038/NCLIMATE2253]
   Keenan TF, 2013, NATURE, V499, P324, DOI 10.1038/nature12291
   Kooperman GJ, 2018, GEOPHYS RES LETT, V45, P12457, DOI 10.1029/2018GL079901
   Kotthaus S, 2012, ATMOS ENVIRON, V57, P301, DOI 10.1016/j.atmosenv.2012.04.024
   Kuehler E, 2017, ECOHYDROLOGY, V10, DOI 10.1002/eco.1813
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Lemordant L, 2018, P NATL ACAD SCI USA, V115, P4093, DOI 10.1073/pnas.1720712115
   Lennon M, 2014, J URBAN DES, V19, P745, DOI 10.1080/13574809.2014.944113
   LEUNING R, 1995, PLANT CELL ENVIRON, V18, P339, DOI 10.1111/j.1365-3040.1995.tb00370.x
   Leuzinger S, 2010, GLOBAL CHANGE BIOL, V16, P246, DOI 10.1111/j.1365-2486.2009.01937.x
   Lindén J, 2016, URBAN FOR URBAN GREE, V20, P198, DOI 10.1016/j.ufug.2016.09.001
   Liu Q, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02690-y
   Lowe J. A., 2019, UKCP18 SCI OVERVIEW
   Manzoni S, 2011, FUNCT ECOL, V25, P456, DOI 10.1111/j.1365-2435.2010.01822.x
   Marchionni V, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026192
   Massmann A., 2018, Hydrology and Earth System Sciences Discussions, P1, DOI DOI 10.5194/HESS-2018-553
   McAdam SAM, 2015, PLANT PHYSIOL, V167, P833, DOI 10.1104/pp.114.252940
   McIntyre PJ, 2015, P NATL ACAD SCI USA, V112, P1458, DOI 10.1073/pnas.1410186112
   Meili N., 2019, GEOSCI MODEL DEV, P1, DOI [10.5194/gmd-2019-225, DOI 10.5194/GMD-2019-225]
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Mitchell LE, 2018, P NATL ACAD SCI USA, V115, P2912, DOI 10.1073/pnas.1702393115
   Murray SJ, 2012, J HYDROL, V448, P14, DOI 10.1016/j.jhydrol.2012.02.044
   Novick KA, 2016, NAT CLIM CHANGE, V6, P1023, DOI [10.1038/nclimate3114, 10.1038/NCLIMATE3114]
   O'Donnell E, 2020, BLUE-GREEN SYST, V2, P28, DOI 10.2166/bgs.2019.199
   Ochoa-Rodríguez S, 2018, J FLOOD RISK MANAG, V11, pS211, DOI 10.1111/jfr3.12195
   Pappas C, 2013, J GEOPHYS RES-BIOGEO, V118, P505, DOI 10.1002/jgrg.20035
   Paschalis A, 2020, GLOBAL CHANGE BIOL, V26, P3336, DOI 10.1111/gcb.15024
   Paschalis A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae267
   Paschalis A, 2017, AGR FOREST METEOROL, V232, P367, DOI 10.1016/j.agrformet.2016.09.003
   Paschalis A, 2015, J GEOPHYS RES-BIOGEO, V120, P1716, DOI 10.1002/2015JG003002
   Paschalis A, 2014, J HYDROL, V514, P313, DOI 10.1016/j.jhydrol.2014.04.014
   Pataki DE, 2011, ECOL APPL, V21, P661, DOI 10.1890/09-1717.1
   Piao SL, 2007, P NATL ACAD SCI USA, V104, P15242, DOI 10.1073/pnas.0707213104
   Rigby M, 2008, ATMOS ENVIRON, V42, P8943, DOI 10.1016/j.atmosenv.2008.06.040
   Royse KR, 2012, P GEOLOGIST ASSOC, V123, P22, DOI 10.1016/j.pgeola.2011.07.005
   Saxton KE, 2006, SOIL SCI SOC AM J, V70, P1569, DOI 10.2136/sssaj2005.0117
   Schubert JE, 2017, ADV WATER RESOUR, V108, P55, DOI 10.1016/j.advwatres.2017.07.009
   SELLERS PJ, 1985, INT J REMOTE SENS, V6, P1335, DOI 10.1080/01431168508948283
   Seyednasrollah B, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0229-9
   Shahraeeni E, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR011857
   Sitch S, 2008, GLOBAL CHANGE BIOL, V14, P2015, DOI 10.1111/j.1365-2486.2008.01626.x
   Sitch S, 2015, BIOGEOSCIENCES, V12, P653, DOI 10.5194/bg-12-653-2015
   Stovin V, 2013, J ENVIRON MANAGE, V131, P206, DOI 10.1016/j.jenvman.2013.09.026
   Stovin V, 2010, WATER ENVIRON J, V24, P192, DOI 10.1111/j.1747-6593.2009.00174.x
   Swann ALS, 2016, P NATL ACAD SCI USA, V113, P10019, DOI 10.1073/pnas.1604581113
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Templeton NP, 2018, J GEOPHYS RES-ATMOS, V123, P2111, DOI 10.1002/2017JD027845
   Thakali R, 2016, HYDROLOGY-BASEL, V3, DOI 10.3390/hydrology3040034
   Thom JK, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115597
   Ukkola AM, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087820
   Vanonckelen S, 2013, INT J APPL EARTH OBS, V24, P9, DOI 10.1016/j.jag.2013.02.003
   Velasco E, 2010, GEOGR COMPASS, V4, P1238, DOI 10.1111/j.1749-8198.2010.00384.x
   Wang SH, 2019, NAT ECOL EVOL, V3, P1076, DOI 10.1038/s41559-019-0931-1
   Webber JL, 2020, URBAN WATER J, V17, P598, DOI 10.1080/1573062X.2019.1700286
   Wolf S, 2016, P NATL ACAD SCI USA, V113, P5880, DOI 10.1073/pnas.1519620113
   Wood CR, 2013, J ATMOS OCEAN TECH, V30, P1604, DOI 10.1175/JTECH-D-12-00209.1
   Wu DH, 2018, BIOGEOSCIENCES, V15, P3421, DOI 10.5194/bg-15-3421-2018
   Zhang H, 2015, BOUND-LAY METEOROL, V154, P119, DOI 10.1007/s10546-014-9965-8
   Zischg AP, 2018, HYDROL EARTH SYST SC, V22, P2759, DOI 10.5194/hess-22-2759-2018
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 100
TC 20
Z9 20
U1 10
U2 97
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD JUN
PY 2021
VL 597
AR 126126
DI 10.1016/j.jhydrol.2021.126126
EA MAR 2021
PG 13
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Geology; Water Resources
GA SF6AI
UT WOS:000652835600038
DA 2025-04-22
ER

PT J
AU Yi, CR
   Li, X
   Yao, YZ
   Xu, XC
   Zhang, H
   Wang, YX
AF Yi, Congrui
   Li, Xia
   Yao, Yuanzhi
   Xu, Xiaocong
   Zhang, Han
   Wang, Yuxia
TI Interplay between aridity changes and urban expansion across Chinese
   cities
SO APPLIED GEOGRAPHY
LA English
DT Article
DE Urbanization; Aridity change; Dryland expansion; Trend analysis
ID CLIMATE-CHANGE; PATTERNS; DRYLANDS; POPULATION; GROWTH; TRENDS
AB Urban aridification has emerged as a significant challenge to the sustainable development of cities. Although China has experienced rapid urbanization and dryland expansion in recent decades, their relationship and potential challenges remains underexplored. To fill this gap, we conducted a national-scale analysis of spatiotemporal changes in dryland boundaries and urbanization patterns in Chinese cities between 1985 and 2022. Our findings reveal a significant eastward expansion of dryland boundaries beyond the Hu-Huanyong line, increasing the number of cities within dryland regions, particularly large urban agglomerations. Notably, urban growth in dryland areas has outpaced that in more humid regions, especially in cities located in the driest subtypes of these regions. Overall, a significant drying trend has been widely observed in about one-third of Chinese cities, impacting over 100 million people. These findings highlight the increasing vulnerability of urban populations to a drying climate, underscoring the need for climate-adaptive urban policies. Our results contribute to a deeper understanding of the interplay between urbanization and dryland expansion and offer critical insights for developing climate-resilient policies.
C1 [Yi, Congrui; Li, Xia; Yao, Yuanzhi; Zhang, Han; Wang, Yuxia] East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China.
   [Xu, Xiaocong] Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou, Peoples R China.
C3 East China Normal University; Sun Yat Sen University
RP Li, X (corresponding author), East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China.
EM lixia@geo.ecnu.edu.cn
RI ; LI, XIA/A-1235-2013
OI Xu, Xiaocong/0000-0002-3773-0811; LI, XIA/0000-0003-3050-8529
FU Key National Natural Science Foundation of China [42130107]; Open Fund
   of Key Laboratory of Geographic Information Science (Ministry of
   Education), East China Normal University [KLGIS2023A03]
FX This work was supported by the Key National Natural Science Foundation
   of China (Grant No. 42130107) and the Open Fund of Key Laboratory of
   Geographic Information Science (Ministry of Education), East China
   Normal University (Grant No. KLGIS2023A03).
CR Aadhar S, 2020, J HYDROMETEOROL, V21, P2979, DOI 10.1175/JHM-D-19-0224.1
   Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   Abdrabo K I., 2022, Wadi Flash Floods, P283, DOI [10.1007/978-981-16-2904-4_11, DOI 10.1007/978-981-16-2904-4_11]
   Banner J. L., 2024, Positive unintended consequences of urbanization for climate-resilience of stream ecosystems
   Berg A, 2021, NAT CLIM CHANGE, V11, P331, DOI 10.1038/s41558-021-01007-8
   Chen K, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-45901-z
   Chinese State Council, 2014, The State Council Organization Chart
   Coffel E. D., 2018, Temperature and humidity based projections of a rapid rise in global heat stress exposure during the 21st century
   del Barrio G., 2018, World atlas of desertification. World Atlas of Desertification
   Deng SS, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127170
   Deng XZ, 2008, J URBAN ECON, V63, P96, DOI 10.1016/j.jue.2006.12.006
   Ding Y, 2019, PAC ECON REV, V24, P27, DOI 10.1111/1468-0106.12271
   Emadodin I, 2018, LAND DEGRAD DEV, V29, P3423, DOI 10.1002/ldr.3108
   Fan P., 2013, Dryland East Asia: Land Dynamics amid Social and Climate Change, V2012
   Fu Q, 2014, J GEOPHYS RES-ATMOS, V119, DOI 10.1002/2014JD021608
   Gilman J, 2024, J ENVIRON MANAGE, V352, DOI 10.1016/j.jenvman.2024.120097
   Gong P, 2020, REMOTE SENS ENVIRON, V236, DOI 10.1016/j.rse.2019.111510
   Gong P, 2019, SCI BULL, V64, P756, DOI 10.1016/j.scib.2019.04.024
   Greve P, 2014, NAT GEOSCI, V7, P716, DOI [10.1038/ngeo2247, 10.1038/NGEO2247]
   Güneralp B, 2015, GLOBAL ENVIRON CHANG, V31, P217, DOI 10.1016/j.gloenvcha.2015.01.002
   Gutman G., 2020, Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems, DOI [10.1007/978-3-030-30742-4, DOI 10.1007/978-3-030-30742-4]
   He CY, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25026-3
   Huang JP, 2019, ADV ATMOS SCI, V36, P922, DOI 10.1007/s00376-018-8200-9
   Huang JP, 2017, NAT CLIM CHANGE, V7, P417, DOI [10.1038/nclimate3275, 10.1038/NCLIMATE3275]
   Huang JP, 2016, NAT CLIM CHANGE, V6, P166, DOI [10.1038/nclimate2837, 10.1038/NCLIMATE2837]
   Huang S., 2024, Nat. Cities, V1, P597, DOI [10.1038/s44284-024-00102-z, DOI 10.1038/S44284-024-00102-Z]
   Jia JP, 2014, ALZHEIMERS DEMENT, V10, P1, DOI 10.1016/j.jalz.2013.01.012
   Kahil MT, 2015, J HYDROL, V522, P95, DOI 10.1016/j.jhydrol.2014.12.042
   Koutroulis AG, 2019, SCI TOTAL ENVIRON, V655, P482, DOI 10.1016/j.scitotenv.2018.11.215
   Kuang WH, 2016, LANDSCAPE URBAN PLAN, V145, P21, DOI 10.1016/j.landurbplan.2015.10.001
   Li D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau4299
   Li HW, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac2bce
   Li XY, 2023, NATL SCI REV, V10, DOI 10.1093/nsr/nwad049
   Li Y, 2015, ADV ATMOS SCI, V32, P870, DOI 10.1007/s00376-014-4106-3
   Lian X, 2021, NAT REV EARTH ENV, V2, P232, DOI 10.1038/s43017-021-00144-0
   Liu XP, 2020, NAT SUSTAIN, V3, P564, DOI 10.1038/s41893-020-0521-x
   Liu ZF, 2024, LANDSCAPE ECOL, V39, DOI 10.1007/s10980-024-01832-0
   McDonald RI, 2011, P NATL ACAD SCI USA, V108, P6312, DOI 10.1073/pnas.1011615108
   Meerow S, 2021, URBAN WATER J, V18, P275, DOI 10.1080/1573062X.2021.1877741
   Paques L.E, 2016, Trees, forests and land use in drylands: A preliminary report, V4, P6
   Peng DD, 2017, J GEOPHYS RES-ATMOS, V122, P9060, DOI 10.1002/2016JD026424
   Raju D, 2019, REV DEV ECON, V23, P760, DOI 10.1111/rode.12564
   Raymond C., 2020, The emergence of heat and humidity too severe for human tolerance
   Ren Q, 2022, NAT SUSTAIN, V5, P869, DOI 10.1038/s41893-022-00930-8
   Rohde MM, 2024, NATURE, V632, DOI 10.1038/s41586-024-07702-8
   Seto KC, 2010, ANNU REV ENV RESOUR, V35, P167, DOI 10.1146/annurev-environ-100809-125336
   Sun LQ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19158-1
   Wang J, 2021, NAT CLIM CHANGE, V11, P1084, DOI 10.1038/s41558-021-01196-2
   Xu JQ, 2021, J APPL METEOROL CLIM, V60, P607, DOI 10.1175/JAMC-D-20-0209.1
   [许晓聪 Xu Xiaocong], 2021, [遥感学报, National Remote Sensing Bulletin], V25, P1896
   Yang Q, 2021, INT J CLIMATOL, V41, P3953, DOI 10.1002/joc.7052
   Zhang C, 2018, HABITAT INT, V79, P51, DOI 10.1016/j.habitatint.2018.07.003
   Zhang HB, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152014735
   Zhang WM, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102385
   Zhao HH, 2019, ATMOS RES, V222, P154, DOI 10.1016/j.atmosres.2019.02.012
NR 55
TC 0
Z9 0
U1 6
U2 6
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0143-6228
EI 1873-7730
J9 APPL GEOGR
JI Appl. Geogr.
PD MAR
PY 2025
VL 176
AR 103514
DI 10.1016/j.apgeog.2025.103514
EA JAN 2025
PG 12
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA X1Y9N
UT WOS:001423401600001
DA 2025-04-22
ER

PT J
AU Lim, TC
   Wilson, B
   Grohs, JR
   Pingel, TJ
AF Lim, Theodore C.
   Wilson, Bev
   Grohs, Jacob R.
   Pingel, Thomas J.
TI Community-engaged heat resilience planning: Lessons from a youth smart
   city STEM program
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Heat resilience; Community engagement; Youth engagement; Smart cities;
   Environmental literacy; STEM education
ID URBAN HEAT; MITIGATION STRATEGIES; SPATIAL-DISTRIBUTION; CLIMATE-CHANGE;
   BIG DATA; CITIES; HEALTH; ISLAND; WAVES; EDUCATION
AB While recognition of the dangers of extreme heat in cities continues to grow, heat resilience remains a relatively new area of urban planning. One barrier to the creation and successful implementation of neighborhood-scale heat resilience plans has been a lack of reliable strategies for resident engagement. In this research, the au-thors designed a two-week summer STEM module for youth ages 12 to 14 in Roanoke, Virginia in the South-eastern United States. Participants collected and analyzed temperature and thermal comfort data of varying types, including from infrared thermal cameras and point sensors, handheld weather sensors, drones, and sat-ellites, vehicle traverses, and student peer interviews. Based on primary data gathered during the program, we offer insights that may assist planners seeking to engage residents in neighborhood-scale heat resilience planning efforts. These lessons include recognizing: (1) the problem of heat in neighborhoods and the social justice aspects of heat distribution may not be immediately apparent to residents; (2) a need to shift perceived responsibility of heat exposure from the personal and home-based to include the social and landscape-based; (3) the inextrica-bility of solutions for thermal comfort from general issues of safety and comfort in neighborhoods; and (4) that smart city technologies and high resolution data are helpful "hooks" to engagement, but may be insufficient for shifting perception of heat as something that can be mitigated through decisions about the built environment.
C1 [Lim, Theodore C.] Virginia Tech Sch Publ & Int Affairs, 140 Otey St, Blacksburg, VA 24061 USA.
   [Wilson, Bev] Univ Virginia, Sch Architecture, Charlottesville, VA 22904 USA.
   [Grohs, Jacob R.] Virginia Tech, Dept Engn Educ, Blacksburg, VA 24061 USA.
   [Pingel, Thomas J.] Virginia Tech, Dept Geog, Blacksburg, VA 24061 USA.
   [Lim, Theodore C.] 140 Otey St, Blacksburg, VA 24061 USA.
C3 Virginia Polytechnic Institute & State University; University of
   Virginia; Virginia Polytechnic Institute & State University; Virginia
   Polytechnic Institute & State University
RP Lim, TC (corresponding author), 140 Otey St, Blacksburg, VA 24061 USA.
EM tclim@vt.edu; bw6xs@virginia.edu; jrgrohs@vt.edu; tpingel@vt.edu
RI Lim, Theodore/ABE-2162-2020; Pingel, Thomas/AAW-6609-2020
OI Pingel, Thomas/0000-0002-5911-2803
FU Virginia Tech Institute for Society, Culture, and Environment
FX This research was supported by a grant from the Virginia Tech Institute
   for Society, Culture, and Environment. We also thank Max Dillon and
   Gunjan Barua for their work as research assistants during the Summer
   2021 RCPS+ student engagement activities; as well as Angelo "Mike"
   Bonilla and Tom Fitzpatrick of Roanoke City Public Schools, and Nell
   Boyle of the City of Roanoke for their support of the project.
CR Adaktylou N., 2020, INT J EDUC METHODOL, V6, P517, DOI [https://doi.org/10.12973/ijem.6.3.517, DOI 10.12973/IJEM.6.3.517]
   Allam Z, 2019, CITIES, V89, P80, DOI 10.1016/j.cities.2019.01.032
   Anguelovski I, 2016, J PLAN LIT, V31, P23, DOI 10.1177/0885412215610491
   [Anonymous], 2008, Reducing Urban Heat Islands: Compendium of Strategies
   Appalachian Regional Commission, 2019, STRENGTH EC RES APP
   Bartesaghi-Koc C, 2021, SOL ENERGY, V216, P564, DOI 10.1016/j.solener.2020.12.043
   Batty M, 2018, INVENTING FUTURE CITIES, P1, DOI 10.7551/mitpress/11923.001.0001
   Batty Michael, 2013, Dialogues Hum Geogr, V3, P274, DOI 10.1177/2043820613513390
   Bey G., 2020, Report on the NOAA Office of Education Environmental Literacy Program Community Resilience Education Theory of Change, DOI [DOI 10.25923/MH0G-5Q69, 10.25923/MH0G-5Q69]
   Bishop M., 1995, THE ROANOKE TIMES
   Blades M, 1998, T I BRIT GEOGR, V23, P269, DOI 10.1111/j.0020-2754.1998.00269.x
   Blaut JM, 1997, ANN ASSOC AM GEOGR, V87, P152, DOI 10.1111/0004-5608.00045
   Charmaz K., 2014, CONSTRUCTING GROUNDE
   Chou P., 2018, EURASIA J MATH SCI T, V14, DOI DOI 10.29333/EJMSTE/93483
   Clark SS, 2019, SUSTAIN RESIL INFRAS, V4, P21, DOI 10.1080/23789689.2018.1448668
   Cowley R, 2019, ENVIRON PLANN D, V37, P428, DOI 10.1177/0263775818787506
   D'Ignazio C, 2019, RIGHT TO THE SMART CITY, P113, DOI 10.1108/978-1-78769-139-120191008
   Dare R., 2019, Journal of Extreme Events, V6, DOI [10.1142/s2345737620500025, DOI 10.1142/S2345737620500025, 10.1142/S2345737620500025]
   Davies C., 2007, EMERGING SPATIAL MIN, P219, DOI DOI 10.1093/ACPROF:OSO/9780195189223.003.0010
   Dialesandro J, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18030941
   Dotson Rand., 2008, Roanoke, Virginia, 1882-1884, Magic City of the New South, V1st
   Dziob D, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12182868
   Ebi K. L., 2018, IMPACTS RISKS ADAPTA, V2, P1309, DOI [https://doi.org/10.7930/NCA4.2018.CH28, DOI 10.7930/NCA4.2018.CH28]
   Eguchi A, 2016, ROBOT AUTON SYST, V75, P692, DOI 10.1016/j.robot.2015.05.013
   Evans J, 2019, LOCAL ENVIRON, V24, P557, DOI 10.1080/13549839.2019.1624701
   Frank KI, 2006, J PLAN LIT, V20, P351, DOI 10.1177/0885412205286016
   Fullilove MT, 2001, J URBAN HEALTH, V78, P72, DOI 10.1093/jurban/78.1.72
   Gillen A, 2018, J FORMATIVE DES LEAR, V2, P121, DOI 10.1007/s41686-018-0023-7
   Gomoll A, 2016, J SCI EDUC TECHNOL, V25, P899, DOI 10.1007/s10956-016-9647-z
   Goodspeed R, 2015, CAMB J REG ECON SOC, V8, P79, DOI 10.1093/cjres/rsu013
   Grohs J. R., 2020, J STEM OUTREACH, V3, P1, DOI [10.15695/jstem/v3i1.01, DOI 10.15695/JSTEM/V3I1.01]
   Grossi G, 2017, CITIES, V69, P79, DOI 10.1016/j.cities.2017.07.012
   Guardaro M, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102886
   Habeeb D, 2015, NAT HAZARDS, V76, P1651, DOI 10.1007/s11069-014-1563-z
   Hagge P, 2021, J GEOGR HIGHER EDUC, V45, P342, DOI 10.1080/03098265.2020.1827376
   Halseth G, 2000, ENVIRON PLANN B, V27, P565, DOI 10.1068/b2666
   Hansen A, 2008, ENVIRON HEALTH PERSP, V116, P1369, DOI 10.1289/ehp.11339
   Henderson J., 2021, Journal of Pre-College Engineering Education Research, V11, P2, DOI DOI 10.7771/2157-9288.1311
   Heris MP, 2020, LANDSCAPE URBAN PLAN, V202, DOI 10.1016/j.landurbplan.2020.103870
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Johnson PA, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2019.101414
   Keith L, 2022, Planning for urban heat resilience, P101
   Keith L, 2021, NATURE, V598, P29, DOI 10.1038/d41586-021-02677-2
   Keith Meerow., 2020, J EXTREME EVENTS, DOI DOI 10.1142/S2345737620500037
   Khan N, 2018, INT J HUM-COMPUT INT, V34, P1135, DOI 10.1080/10447318.2017.1418804
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Klinenberg Eric., 2003, Heat Wave: A Social Autopsy of Disaster in Chicago
   Ladson-Billings G, 2014, HARVARD EDUC REV, V84, P74, DOI 10.17763/haer.84.1.p2rj131485484751
   Larsen L, 2015, FRONT ECOL ENVIRON, V13, P486, DOI 10.1890/150103
   Lawson D. F., 2019, INTERGENERATIONAL LE
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Liben L.S., 2007, The emerging spatial mind, P193, DOI [10.1093/acprof:oso/9780195189223.003.0009, DOI 10.1093/ACPROF:OSO/9780195189223.003.0009]
   Liben LS, 1997, ANN ASSOC AM GEOGR, V87, P159, DOI 10.1111/0004-5608.00046
   Lundgren K, 2013, IND HEALTH, V51, P3, DOI 10.2486/indhealth.2012-0089
   Meerow S, 2022, J AM PLANN ASSOC, V88, P319, DOI 10.1080/01944363.2021.1977682
   Meerow S, 2017, ENVIRON PLANN A, V49, P2619, DOI 10.1177/0308518X17735225
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Middel A, 2015, URBAN FOR URBAN GREE, V14, P178, DOI 10.1016/j.ufug.2014.09.010
   Naumann S., 2007, E LEARNING TOOLS
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Park J, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127256
   Patterson T., 2013, CARTOGRAPHIC PERSPEC, V75, P5, DOI [10.14714/CP75.578, DOI 10.14714/CP75.578]
   Patterson TC, 2007, J GEOGR, V106, P145, DOI 10.1080/00221340701678032
   Pattison S., 2020, Journal of Pre-College Engineering Education Research, V10, P72, DOI [10.7771/2157-9288.1234, DOI 10.7771/2157-9288.1234]
   Peppler K, 2013, COMPUTER, V46, P38, DOI 10.1109/MC.2013.257
   Perera C, 2014, T EMERG TELECOMMUN T, V25, P81, DOI 10.1002/ett.2704
   Plester B, 2002, J ENVIRON PSYCHOL, V22, P29, DOI 10.1006/jevp.2001.0245
   Russell D., 2020, GUARDIAN
   S. Census Bureau, 2020, Source: Brookings Institution analysis of 2011-2015 American Community Survey (ACS) and FCC data
   Saaroni H, 2000, LANDSCAPE URBAN PLAN, V48, P1, DOI 10.1016/S0169-2046(99)00075-4
   Sailor DJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0bb9
   Salata F, 2017, SUSTAIN CITIES SOC, V30, P79, DOI 10.1016/j.scs.2017.01.006
   Shandas V, 2019, CLIMATE, V7, DOI 10.3390/cli7010005
   Shepardson DP, 2019, J GEOGR, V118, P252, DOI 10.1080/00221341.2019.1593487
   Stone B, 2001, J AM PLANN ASSOC, V67, P186, DOI 10.1080/01944360108976228
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Stone B, 2021, ENVIRON SCI TECHNOL, V55, P6957, DOI 10.1021/acs.est.1c00024
   Stone B Jr, 2023, J PLAN EDUC RES, V43, P346, DOI 10.1177/0739456X19879214
   Thomson H, 2019, ENERG BUILDINGS, V196, P21, DOI 10.1016/j.enbuild.2019.05.014
   Trott CD, 2022, ENVIRON EDUC RES, V28, P1023, DOI 10.1080/13504622.2021.2007223
   Vargo J, 2016, ENVIRON SCI POLICY, V66, P366, DOI 10.1016/j.envsci.2016.08.012
   Weber S, 2015, APPL GEOGR, V63, P231, DOI 10.1016/j.apgeog.2015.07.006
   Westraadt L, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102444
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   Wu CYH, 2019, ANN AM ASSOC GEOGR, V109, P875, DOI 10.1080/24694452.2018.1511411
   Wu L, 2014, INT J ONLINE ENG, V10, P47, DOI 10.3991/ijoe.v10i2.3498
   Yigitcanlar T, 2018, CITIES, V81, P145, DOI 10.1016/j.cities.2018.04.003
   Zanella A, 2014, IEEE INTERNET THINGS, V1, P22, DOI 10.1109/JIOT.2014.2306328
NR 88
TC 15
Z9 17
U1 12
U2 87
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD OCT
PY 2022
VL 226
AR 104497
DI 10.1016/j.landurbplan.2022.104497
EA JUN 2022
PG 13
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA 2K2YR
UT WOS:000816208500003
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Fan, XY
AF Fan, Xinyue
TI Research on the coupling of ecological environment and socio-economic
   development in resource-based cities: Based on scenario simulation
   method
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Resource-based city; Urban resilience; Ecological environment;
   Socio-economy; Coupled coordination relationship; Scenario simulation
AB Resource-based cities (RBCs) encounter numerous challenges in terms of ecological environment (EE) protection and socio-economy (SE) upgrading. This exerts pressure on the advancement of sustainable development. A benign relationship between EE and SE is a crucial factor in promoting RBCs to realize sustainable development. Using Sichuan RBCs as a case study, this study determined the EE and SE resilience levels, examined the degree of coupling coordination between the two levels of resilience, and investigated the specific pathways in which RBCs might reach a high coupling state. The level of resilience in Sichuan RBCs is dropping for EE, stable for SE, and steadily increasing overall. The degree of coupling coordination is suboptimal, as shown by a D-value of 0.260. However, there is an overall trend towards improved coordination. There 8 cities with a moderate state of dysfunction. In the high state development scenario, the coupling coordination degree of the cities rises significantly. Guang'an, Luzhou, Nanchong, and Zigong should prioritize addressing the issue of EE pollution emission and work to strengthen the regulation and treatment of industrial pollutants. Moreover, to enhance the influx of talent and population, the cities of Dazhou, Guangyuan, Panzhihua, and Ya'an should implement human-centered urban design and layout.
C1 [Fan, Xinyue] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Fan, XY (corresponding author), Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
EM fanxinyue@stu.cdut.edu.cn
RI fan, xinyue/ISA-0230-2023
FU National Natural Science Foundation of China [42072322]; Sichuan Science
   and Technology Program [2023NSFSC0807]; Opening Fund of Sichuan Mineral
   Resources Research Center [SCKCZY2022-YB017]; General Program of Sichuan
   Center for Disaster Economy Research [ZHJJ2022-YB002]
FX This work was supported by National Natural Science Foundation of China
   under Grant 42072322, Sichuan Science and Technology Program under Grant
   2023NSFSC0807, Opening Fund of Sichuan Mineral Resources Research Center
   under Grant SCKCZY2022-YB017 and the General Program of Sichuan Center
   for Disaster Economy Research under Grant ZHJJ2022-YB002.
CR An M, 2023, J CLEAN PROD, V394, DOI 10.1016/j.jclepro.2023.136409
   Basumallick S, 2020, MOL PHYS, V118, DOI 10.1080/00268976.2020.1726521
   Cai C, 2023, ECOL INFORM, V77, DOI 10.1016/j.ecoinf.2023.102164
   Cao J, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14225864
   Chen P, 2022, ENVIRON IMPACT ASSES, V93, DOI 10.1016/j.eiar.2021.106734
   Cheng ML, 2024, ENERG POLICY, V188, DOI 10.1016/j.enpol.2024.114089
   Cheng Z, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110648
   Dai XA, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109663
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Dou SQ, 2023, J ENVIRON MANAGE, V333, DOI 10.1016/j.jenvman.2023.117406
   Ejaz U, 2024, J CLEAN PROD, V450, DOI 10.1016/j.jclepro.2024.141877
   Fan J, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2019.136305
   Fan M, 2020, GLOB ECOL CONSERV, V21, DOI 10.1016/j.gecco.2019.e00806
   Fan W, 2022, RESOUR POLICY, V77, DOI 10.1016/j.resourpol.2022.102760
   Fan XY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109979
   Gan L, 2020, SUSTAIN CITIES SOC, V58, DOI 10.1016/j.scs.2020.102136
   Ghosh S, 2022, J CLEAN PROD, V336, DOI 10.1016/j.jclepro.2022.130417
   Huang YQ, 2022, ANTIOXID REDOX SIGN, V36, P256, DOI 10.1089/ars.2021.0213
   Jiang JK, 2022, SCI TOTAL ENVIRON, V850, DOI 10.1016/j.scitotenv.2022.158076
   Kou PL, 2021, SCI TOTAL ENVIRON, V778, DOI 10.1016/j.scitotenv.2021.146065
   Kurusta T, 2023, FUEL, V352, DOI 10.1016/j.fuel.2023.128951
   Li C, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108328
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Li L, 2020, J ENVIRON SCI, V98, P1, DOI 10.1016/j.jes.2020.03.029
   Li SR, 2022, J ENERGY STORAGE, V52, DOI 10.1016/j.est.2022.105029
   Li SC, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108026
   Li WW, 2020, J CLEAN PROD, V256, DOI 10.1016/j.jclepro.2020.120453
   Li YK, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15061661
   Liang XY, 2022, ENERGY, V261, DOI 10.1016/j.energy.2022.124965
   Lin QY, 2022, ENGINEERING-PRC, V14, P27, DOI 10.1016/j.eng.2021.12.013
   Lin XY, 2022, J CLEAN PROD, V377, DOI 10.1016/j.jclepro.2022.134143
   Liu EN, 2021, SOCIO-ECON PLAN SCI, V77, DOI 10.1016/j.seps.2021.101022
   Liu KX, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1194584
   Liu LN, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134400
   Liu P, 2022, ENVIRON POLLUT, V292, DOI 10.1016/j.envpol.2021.118368
   Liu YM, 2020, INT J DISAST RISK SC, V11, P696, DOI [10.3390/insects11090631, 10.1007/s13753-020-00295-6]
   Liu YZ, 2022, ECOL INDIC, V134, DOI 10.1016/j.ecolind.2021.108445
   Long RY, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102415
   Meng G, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110858
   Okoye-Chine CG, 2022, J CO2 UTIL, V62, DOI 10.1016/j.jcou.2022.102099
   Ouyang X, 2022, LAND USE POLICY, V117, DOI 10.1016/j.landusepol.2022.106112
   Peng JY, 2021, ENVIRON POLLUT, V272, DOI 10.1016/j.envpol.2020.116038
   Peng T, 2021, ENVIRON SCI POLLUT R, V28, P6941, DOI 10.1007/s11356-020-11020-7
   Ren F, 2021, J CLEAN PROD, V317, DOI 10.1016/j.jclepro.2021.128408
   Ruan FL, 2020, CITIES, V97, DOI 10.1016/j.cities.2019.102571
   Sui GH, 2023, ECOL INDIC, V156, DOI 10.1016/j.ecolind.2023.111133
   Sun FH, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111651
   Sun Y, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104458
   Tang Q, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102324
   Tomal M, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102992
   Wang H, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107163
   Wang XC, 2021, RENEW SUST ENERG REV, V150, DOI 10.1016/j.rser.2021.111485
   Wang YH, 2023, CITIES, V133, DOI 10.1016/j.cities.2022.104151
   Wang ZR, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106912
   Wu XL, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106243
   Xing ML, 2021, J CLEAN PROD, V315, DOI 10.1016/j.jclepro.2021.128114
   Yan F, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118708
   Yang B, 2021, ENERGY REP, V7, P959, DOI 10.1016/j.egyr.2021.09.177
   Yang DR, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2024.111578
   Yang Y, 2020, J CLEAN PROD, V260, DOI 10.1016/j.jclepro.2020.120973
   Ye Y, 2021, URBAN FOR URBAN GREE, V60, DOI 10.1016/j.ufug.2021.127043
   Yi YA, 2022, COMPUT VIS MEDIA, V8, P257, DOI 10.1007/s41095-021-0241-9
   Yi Z, 2023, RESOUR POLICY, V84, DOI 10.1016/j.resourpol.2023.103732
   Yin Q, 2022, J CLEAN PROD, V330, DOI 10.1016/j.jclepro.2021.129783
   Yun K, 2024, ECOL INDIC, V160, DOI 10.1016/j.ecolind.2024.111740
   Zeng JW, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14205282
   Zeng P, 2024, J CLEAN PROD, V451, DOI 10.1016/j.jclepro.2024.141960
   Zeng SB, 2023, J ENVIRON MANAGE, V332, DOI 10.1016/j.jenvman.2023.117363
   Zhan QW, 2021, J CLEAN PROD, V278, DOI 10.1016/j.jclepro.2020.123398
   Zhang DW, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108237
   Zhang HT, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156341
   Zhang Q, 2024, J CLEAN PROD, V447, DOI 10.1016/j.jclepro.2024.141581
   Zhou RX, 2023, J ENVIRON MANAGE, V339, DOI 10.1016/j.jenvman.2023.117913
   Zhu C, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2022.104359
   Zhu XL, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132465
   Zou H, 2021, ENVIRON DEV SUSTAIN, V23, P14775, DOI 10.1007/s10668-021-01271-w
NR 76
TC 5
Z9 5
U1 35
U2 45
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD NOV 1
PY 2024
VL 114
AR 105810
DI 10.1016/j.scs.2024.105810
EA SEP 2024
PG 17
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA G3X4I
UT WOS:001316004600001
DA 2025-04-22
ER

PT J
AU Sturiale, L
   Scuderi, A
   Timpanaro, G
AF Sturiale, Luisa
   Scuderi, Alessandro
   Timpanaro, Giuseppe
TI A Multicriteria Decision-Making Approach of "Tree" Meaning in the New
   Urban Context
SO SUSTAINABILITY
LA English
DT Article
DE eco-system services; green-oriented urban planning; resilient cities;
   urban green spaces; urban forests; urban agriculture
ID WORLDS ECOSYSTEM SERVICES; GREEN INFRASTRUCTURE; SPACES; IMPACT; PARK
AB Future cities will need to plan and design urban green spaces and woodlands to meet diverse interests and needs, provide ecosystem services required by an evolving urban society and improve continuity between urban and rural spaces. This future planning approach calls for more sustainable patterns of urban growth, where forests and green spaces can help create more sustainable, resilient and inclusive cities, and address the challenges of a growing urban population. Green areas are of strategic significance because in addition to absorbing harmful pollutants, improving temperatures, and mitigating the impacts of climate change, they have a positive effect on people's health and well-being and help to create inclusive societies. The values considered are manifold and a multi-criteria assessment, including an evaluation of citizens' perceived needs, allowing policy-makers to steer choices towards green-oriented urban planning tools, where green spaces and urban forests enable them to meet the challenges of future cities. The research presented here is part of this line of study in order to propose a tool to support stakeholders' decisions on urban green planning. The objectives of the study are to find out about the perception of urban green spaces and examine what kind of relationship should be established between the local authority and the population with regard to information and participation in the planning of green areas. The results highlight that citizens recognise the importance of ecosystem services and perceive green areas as strategic elements of urban quality of life, in agreement with some previous studies conducted in Italy and other countries.
C1 [Sturiale, Luisa] Univ Catania, Dept Civil Engn & Architecture, I-95127 Catania, Italy.
   [Scuderi, Alessandro; Timpanaro, Giuseppe] Univ Catania, Dept Agr Food & Environm, I-95127 Catania, Italy.
C3 University of Catania; University of Catania
RP Sturiale, L (corresponding author), Univ Catania, Dept Civil Engn & Architecture, I-95127 Catania, Italy.
EM luisa.sturiale@unict.it; alessandro.scuderi@unict.it;
   giuseppe.timpanaro@unict.it
RI scuderi, alessandro/AGY-9573-2022; Sturiale, Luisa/KMY-5927-2024;
   TIMPANARO, Giuseppe/AFM-4791-2022
OI SCUDERI, Alessandro Gesualdo/0000-0003-2511-6205; STURIALE,
   Luisa/0000-0002-3838-2978; TIMPANARO, Giuseppe/0000-0002-0119-2644
FU research project PIAno di inCEntivi per la RIcerca di Ateneo 2020/2022
   (PIACERI)-UNICT LINE 2-2020/2022-"Sostenibilita ed innovazioni della
   ricerca in agricoltura, alimentazione e ambiente"
FX This study is supported by the research project PIAno di inCEntivi per
   la RIcerca di Ateneo 2020/2022 (PIACERI)-UNICT LINE
   2-2020/2022-"Sostenibilita ed innovazioni della ricerca in agricoltura,
   alimentazione e ambiente".
CR [Anonymous], 2005, Millennium Ecosystem Assessment
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   [Anonymous], 2010, Benefits of Green Infrastructure. Report to Defra and CLG
   Baris ME, 2009, AFR J AGR RES, V4, P791
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Breuste J, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000291
   Camacho-Cervantes M, 2014, URBAN ECOSYST, V17, P761, DOI 10.1007/s11252-014-0343-6
   Caspersen OH, 2010, URBAN FOR URBAN GREE, V9, P101, DOI 10.1016/j.ufug.2009.06.007
   City of Seattle, 2000, URBAN FOREST STRATEG
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Deli I, 2021, SOFT COMPUT, V25, P5979, DOI 10.1007/s00500-021-05588-6
   Deli I, 2021, SOFT COMPUT, V25, P1017, DOI 10.1007/s00500-020-05201-2
   Deli I, 2020, J INTELL FUZZY SYST, V38, P779, DOI 10.3233/JIFS-179448
   Dwyer J. F., 1992, Journal of Arboriculture, V18, P227
   EC, 2020, State of knowledge of soil biodiversity-Status, challenges and potentialities, Report 2020
   Economides C., 2014, Green Infrastructure: Sustainable Solutions in 11 Cities across the United States
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Environment Directorate-General for the Environment, 2013, COMMUNICATION COMMIS
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   European Commission, 2012, MULTIFUNTIONALITY GR
   European Commission, 2016, The Forms and the Functions of the Green Infrastructures
   European Environmental Agency [EEA], 2011, GREEN INFRASTRUCTURE
   European Environmental Agency (EEA), 2018, AIR QUALITY EUROPE
   European Union (EU), 2009, ADAPTING CLIMATE CHA
   FAO, VIRTUAL EVENT 180920
   FAO Tree Cities of the World, 2020, B ZERO
   Ferrini F, 2020, P ATTI CONVEGNOESTIM, P66
   Fetouh M.I., 2018, URBAN HORTIC, V18, DOI [10.1007/978-3-319-67017-1_7, DOI 10.1007/978-3-319-67017-1_7]
   Fischer J, 2007, GLOBAL ECOL BIOGEOGR, V16, P265, DOI 10.1111/j.1466-8238.2007.00287.x
   Foster Josh., 2011, VALUE GREEN INFRASTR
   Foti VT, 2018, GREEN ENERGY TECHNOL, P99, DOI 10.1007/978-3-319-78271-3_8
   Georgi N. J., 2006, Urban Ecosystems, V9, P195, DOI 10.1007/s11252-006-8590-9
   Gibeli G., 2007, Journal of Mediterranean Ecology, V8, 2007, P27
   Haines-Young R., 2018, Common International Classification of Ecosystem Services (CICES) V5.1 and Guidance on the Application of the Revised Structure
   Jayasooriya VM, 2017, URBAN FOR URBAN GREE, V21, P34, DOI 10.1016/j.ufug.2016.11.007
   Jim C.Y., 2002, TPR, V73, P127, DOI [10.3828/tpr.73.2.1, DOI 10.3828/TPR.73.2.1]
   Kabisch N, 2015, LAND USE POLICY, V42, P557, DOI 10.1016/j.landusepol.2014.09.005
   LEGAMBIENTE Il clima e giacambiato, RAPPORTO 2020 CITTAC
   Likert R., 1932, Archives of Pyschology, V22, P5
   Lohr Virginia I., 2004, Journal of Arboriculture, V30, P28
   Lorenzo A. B., 2000, Journal of Arboriculture, V26, P319
   Luley C., 2002, PLAN INTEGRATE MANAG
   Manes F, 2014, ANN BOT-COENOL PLANT, V4, P19, DOI 10.4462/annbotrm-11746
   Masson-Delmotte V., GLOBAL WARMING 15 C
   McPherson E. G., 1997, Urban Ecosystems, V1, P49, DOI 10.1023/A:1014350822458
   MEA, 2005, Millenium Ecosystem Assessment, P137
   MINAMB, 2013, INFRASTRUTTURE VERDI
   Munafo M, 2021, CONSUMO SUOLO DINAMI
   Munda G., 2003, Multicriteria Assessment
   Munda G, 2006, INT J ENVIRON TECHNO, V6, P65, DOI 10.1504/IJETM.2006.008253
   Nowak David J., 2006, Urban Forestry & Urban Greening, V5, P93, DOI [10.1016/j.ufug.2006.04.002, 10.1016/j.ufug.2006.01.007]
   Nowak DJ., 2002, The effects of urban trees on air quality
   Orsini F, 2013, AGRON SUSTAIN DEV, V33, P695, DOI 10.1007/s13593-013-0143-z
   Paoletti E, 2011, PROCEDIA ENVIRON SCI, V4, P10, DOI 10.1016/j.proenv.2011.03.002
   Park H, 2019, URBAN FOR URBAN GREE, V45, DOI 10.1016/j.ufug.2019.06.003
   Qin J, 2013, URBAN FOR URBAN GREE, V12, P490, DOI 10.1016/j.ufug.2013.05.005
   ROGERS K., 2015, Valuing London'S Urban Forest. Results of the London i-Tree Eco Project. Treeconomics London
   Saier MH, 2007, WATER AIR SOIL POLL, V181, P1, DOI 10.1007/s11270-007-9372-6
   Salbitano F., 2016, FAO Forestry Paper No. 178
   Sanesi Giovanni, 2006, Urban Forestry & Urban Greening, V5, P121, DOI [10.1016/j.ufug.2006.06.001, 10.1016/j.ufug.2005.12.001]
   Santolini R, 2012, URBAN LANDSCAPES ENV
   Scuderi A., 2021, GREEN ENERGY TECHNOL, V65, P155
   Scuderi A., 2016, RIV STUDI SOSTENIBIL, V2, P237, DOI [10.3280/RISS2016-002021, DOI 10.3280/RISS2016-002021]
   Shanahan DF, 2016, SCI REP-UK, V6, DOI 10.1038/srep28551
   Sommer R., 1994, Journal of Arboriculture, V20, P170
   Sturiale L., 2020, GREEN ENERGY TECHNOL, P285, DOI [DOI 10.1007/978-3-030-23786-8_16, 10.1007/978-3-030-23786-816]
   Sturiale L, 2019, CLIMATE, V7, DOI 10.3390/cli7100119
   Sturiale L, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124541
   Tallis M, 2011, LANDSCAPE URBAN PLAN, V103, P129, DOI 10.1016/j.landurbplan.2011.07.003
   The Nature Conservancy Planting Healthy Air, 2016, GLOBAL ANAL ROLE URB
   The Sustainable Development Goals Center for Africa and Sustainable Development Solutions Network, 2020, Progress on the Sustainable Development Goals: The Gender Snapshot 2021
   Toman M, 1998, ECOL ECON, V25, P57, DOI 10.1016/S0921-8009(98)00017-2
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   United Nations, 2018, World Urbanization Prospects: The 2018 Revision
   Wei JX, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020327
   Wolf Kathleen L., 2004, Journal of Arboriculture, V30, P336
   Yang Jun, 2005, Urban Forestry & Urban Greening, V3, P65, DOI 10.1016/j.ufug.2004.09.001
NR 77
TC 2
Z9 2
U1 2
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2022
VL 14
IS 5
AR 2902
DI 10.3390/su14052902
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA ZW4SI
UT WOS:000771204400001
OA gold
DA 2025-04-22
ER

PT J
AU Chen, XL
   Fang, ZJ
   Liu, J
   Chai, YK
   Yu, HJ
   Zhou, H
   Gao, Y
AF Chen, Xiaolan
   Fang, Zhengjie
   Liu, Jun
   Chai, Yikai
   Yu, Haijun
   Zhou, Hong
   Gao, Yan
TI Mitigation Effects of Integrated Green-Grey-Blue-Control Systems on
   Urban Flooding in Plain Regions
SO WATER RESOURCES MANAGEMENT
LA English
DT Article; Early Access
DE Flood risk management; Integrated gray-green-blue-control systems;
   Hydrological-hydrodynamic coupled model; Urban drainage systems; Plain
   regions
ID DRAINAGE SYSTEM; CLIMATE-CHANGE; RISK; INFRASTRUCTURE; VULNERABILITY;
   URBANIZATION; INUNDATION; RESILIENCE; INCREASE; RIVER
AB Urban flooding poses a significant challenge in highly urbanized areas, necessitating effective solutions to enhance sustainable urban stormwater management. This study proposes an Integrated Green-Gray-Blue-Control (IGGBC) system as a comprehensive strategy for urban flood risk mitigation. Through systematic scenario analysis, twelve distinct strategies were examined, including individual green, blue, and gray measures; combined green-blue, green-gray, blue-gray, and gray-green-blue (IGGB) approaches; and five integrated gray-green-blue-control (IGGBC3.2, IGGBC3.0, IGGBC2.8, IGGBC2.6, IGGBC2.4) systems. A 1D- 2D coupled hydrological-hydrodynamic model was employed to simulate urban flood inundation and evaluate the performance of various mitigation strategies. The results indicate that individual measures yielded limited improvements in mitigating urban flooding, as reflected in poor effectiveness index (EI) values. Among combined measures, the green-blue and green-gray combinations demonstrated negligible effectiveness, and the blue-gray combination slightly mitigated urban flooding but still showed insufficient EI values. Additionally, the IGGB measure provided moderate mitigation with a reasonable EI value. In contrast, the IGGBC3.2 measure significantly outperformed IGGB, increasing the inundation reduction ratio from 38.49% to 53.16% and enhancing the EI from 0.52 (good) to 1.00 (excellent), demonstrating its control measures' effectiveness in alleviating mutual constraints between stormwater drainage systems and flood discharge channels. Notably, the IGGBC system also demonstrated excellent performance in mitigating flood inundation during high-return-period rainfall events. However, a diminishing marginal effect was observed among the different integrated IGGBC systems (IGGBC3.2, IGGBC3.0, IGGBC2.8, IGGBC2.6, IGGBC2.4). This study provides valuable insights for developing effective urban flood management strategies and makes a significant contribution to enhancing urban resilience.
C1 [Chen, Xiaolan; Liu, Jun; Zhou, Hong; Gao, Yan] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China.
   [Fang, Zhengjie] Shanghai Xunxiang Water Conservancy Engn Co LTD, Shanghai, Peoples R China.
   [Chai, Yikai] Dalian Univ Technol, Sch Infrastruct Engn, Dalian, Peoples R China.
   [Yu, Haijun] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100048, Peoples R China.
C3 Hohai University; Dalian University of Technology; China Institute of
   Water Resources & Hydropower Research
RP Liu, J (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China.
EM lj@hhu.edu.cn
RI CHAI, Yikai/HTO-4854-2023
FU National Key R&D Program of China
FX The authors are grateful to the Wuxi Economic Development District for
   hydrological data.
CR Adnan MSG, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104868
   Adnan MSG, 2020, SCI TOTAL ENVIRON, V731, DOI 10.1016/j.scitotenv.2020.138747
   Alves A, 2018, WATER RESOUR MANAG, V32, P2505, DOI 10.1007/s11269-018-1943-3
   Apel H, 2009, NAT HAZARDS, V49, P79, DOI 10.1007/s11069-008-9277-8
   Bakhshipour AE, 2019, J ENVIRON MANAGE, V249, DOI 10.1016/j.jenvman.2019.109364
   Bezak N, 2024, PROG DISASTER SCI, V23, DOI 10.1016/j.pdisas.2024.100360
   Brears R.C., 2018, Blue and Green Cities: The Role of Blue-Green Infrastructure in Managing Urban Water Resources, DOI [DOI 10.1007/978-3-031-41393-32, 10.1057/978-1-137-59258-3, DOI 10.1057/978-1-137-59258-3]
   Cappato Alessandro, 2022, Journal of Hydrology, DOI 10.1016/j.jhydrol.2022.128545
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Chen XL, 2023, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.1092866
   [谌芸 Chen Yun], 2012, [气象, Meteorological Monthly], V38, P1255
   Demir S, 2025, WATER RESOUR MANAG, DOI 10.1007/s11269-025-04136-3
   Destro CAM, 2015, Evaluation of sustainable urban drainage measures using the Urban water use (UWU) model
   Dong BL, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154098
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Ferreira JC, 2024, WATER RES, V257, DOI 10.1016/j.watres.2024.121658
   Hettiarachchi S, 2018, HYDROL EARTH SYST SC, V22, P2041, DOI 10.5194/hess-22-2041-2018
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/NCLIMATE1911, 10.1038/nclimate1911]
   Hoepers TR, 2024, SCI TOTAL ENVIRON, V912, DOI 10.1016/j.scitotenv.2023.168865
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Jacobson CR, 2011, J ENVIRON MANAGE, V92, P1438, DOI 10.1016/j.jenvman.2011.01.018
   Joyce J, 2018, ENVIRON MODELL SOFTW, V100, P82, DOI 10.1016/j.envsoft.2017.11.008
   Juma B, 2023, PHYS CHEM EARTH, V132, DOI 10.1016/j.pce.2023.103499
   Leng LY, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138608
   Li JK, 2023, WATER RESOUR MANAG, V37, P2001, DOI 10.1007/s11269-023-03467-3
   Li JH, 2016, CATENA, V145, P30, DOI 10.1016/j.catena.2016.05.019
   Li SS, 2024, SCI TOTAL ENVIRON, V912, DOI 10.1016/j.scitotenv.2023.168623
   Li WF, 2009, CHINESE SCI BULL, V54, P1613, DOI [10.1007/S11434-009-0208-1, 10.1007/s11434-009-0208-1]
   Li X., 2023, China Flood and Drought Management, V33, P13, DOI [10.16867/j.issn.1673-9264.2023381, DOI 10.16867/J.ISSN.1673-9264.2023381]
   [刘吉猛 Liu Jimeng], 2023, [中国冶金, China Metallurgy], V33, P50
   Liu YX, 2022, EXPERT OPIN DRUG SAF, V21, P121, DOI [10.1080/14740338.2021.1970134, 10.1002/elps.202000299]
   Lu PJ, 2023, LANDSCAPE URBAN PLAN, V238, DOI 10.1016/j.landurbplan.2023.104804
   Luo PP, 2022, ENVIRON MODELL SOFTW, V156, DOI 10.1016/j.envsoft.2022.105478
   Ma J., 2017, China Water Resour, V05, P74
   Mignot E, 2022, J HYDROL, V609, DOI 10.1016/j.jhydrol.2022.127763
   Ministry of Emergency Management of the People's Republic of China (MEM), 2022, Investigation report on the '7.20' catastrophic rainstorm disaster in Zhengzhou, Henan Province
   Mondal K, 2023, J ENVIRON MANAGE, V332, DOI 10.1016/j.jenvman.2023.117312
   Mu J, 2022, WATER-SUI, V14, DOI 10.3390/w14233880
   Muthusamy M, 2021, J HYDROL, V596, DOI 10.1016/j.jhydrol.2021.126088
   Pasquier U, 2019, NAT HAZARDS, V98, P915, DOI 10.1007/s11069-018-3462-1
   Patel DP, 2017, NAT HAZARDS, V89, P93, DOI 10.1007/s11069-017-2956-6
   Pinos J, 2019, WATER PRACT TECHNOL, V14, P341, DOI 10.2166/wpt.2019.018
   Przestrzelska K, 2024, WATER RESOUR MANAG, V38, P5885, DOI 10.1007/s11269-024-03950-5
   Quintana-Romero T, 2022, J HYDROL, V604, DOI 10.1016/j.jhydrol.2021.127246
   Rahman A., 2016, Urban disasters and resilience in Asia, DOI DOI 10.1016/B978-0-12-802169-9.00003-3
   Ren NQ, 2024, ENGINEERING-PRC, V36, P1, DOI 10.1016/j.eng.2024.04.008
   Richter K., 2020, Improving the urban water use model to explore synergies in urban water cycle for sustainable purpose
   Richter K, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12073055
   Shah SMH, 2020, SCI AFR, V10, DOI 10.1016/j.sciaf.2020.e00651
   Shrestha A, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127498
   Singh RK, 2020, AIN SHAMS ENG J, V11, P1035, DOI 10.1016/j.asej.2020.01.011
   Szelag B, 2022, ENVIRON MODELL SOFTW, V150, DOI 10.1016/j.envsoft.2022.105335
   Tang HW, 2023, ENGINEERING-PRC, V24, P202, DOI 10.1016/j.eng.2022.01.015
   Tansar H, 2023, J HYDROL, V620, DOI 10.1016/j.jhydrol.2023.129381
   Tavakol-Davani H, 2016, J SUSTAIN WATER BUIL, V2, DOI 10.1061/JSWBAY.0000805
   Wang J, 2022, J HYDROL, V609, DOI 10.1016/j.jhydrol.2022.127725
   Ward PJ, 2011, NAT HAZARD EARTH SYS, V11, P3181, DOI 10.5194/nhess-11-3181-2011
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Willis T, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2019.104520
   Xafoulis N, 2022, ENERGY NEXUS, V8, DOI 10.1016/j.nexus.2022.100142
   Yin DK, 2023, WATER RES, V242, DOI 10.1016/j.watres.2023.120315
   Yu H., 2018, China Flood Control Drought Relief, V28, P13, DOI DOI 10.16867/J.ISSN.1673-9264.2018059
   Zhang Y, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160214
NR 63
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD 2025 APR 8
PY 2025
DI 10.1007/s11269-025-04204-8
EA APR 2025
PG 26
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA 1CK9V
UT WOS:001461711600001
DA 2025-04-22
ER

PT J
AU Ward, S
   Butler, D
AF Ward, Sarah
   Butler, David
TI Rainwater Harvesting and Social Networks: Visualising Interactions for
   Niche Governance, Resilience and Sustainability
SO WATER
LA English
DT Article
DE infrastructure; integrated model; niche; organisation; rainwater
   harvesting; resilience; social network analysis; sustainability
ID URBAN WATER MANAGEMENT; REGIME SHIFTS; TRANSITIONS; INNOVATION;
   STAKEHOLDER; SUPPORT; QUALITY; SYSTEM
AB Visualising interactions across urban water systems to explore transition and change processes requires the development of methods and models at different scales. This paper contributes a model representing the network interactions of rainwater harvesting (RWH) infrastructure innovators and other organisations in the UK RWH niche to identify how resilience and sustainability feature within niche governance in practice. The RWH network interaction model was constructed using a modified participatory social network analysis (SNA). The SNA was further analysed through the application of a two-part analytical framework based on niche management and the safe, resilient and sustainable (`Safe and SuRe') framework. Weak interactions between some RWH infrastructure innovators and other organisations highlighted reliance on a limited number of persuaders to influence the regime and landscape, which were underrepresented. Features from niche creation and management were exhibited by the RWH network interaction model, though some observed characteristics were not represented. Additional Safe and SuRe features were identified covering diverse innovation, responsivity, no protection, unconverged expectations, primary influencers, polycentric or adaptive governance and multiple learning-types. These features enable RWH infrastructure innovators and other organisations to reflect on improving resilience and sustainability, though further research in other sectors would be useful to verify and validate observation of the seven features.
C1 [Ward, Sarah; Butler, David] Univ Exeter, Ctr Water Syst, Coll Engn Math & Phys Sci, North Pk Rd, Exeter EX4 4QF, Devon, England.
C3 University of Exeter
RP Ward, S (corresponding author), Univ Exeter, Ctr Water Syst, Coll Engn Math & Phys Sci, North Pk Rd, Exeter EX4 4QF, Devon, England.
EM sarah.ward@exeter.ac.uk; d.butler@exeter.ac.uk
RI Ward, Sarah/AAK-5052-2020; Ward, Sarah/Q-2728-2015; Butler,
   David/I-2991-2012
OI Ward, Sarah/0000-0002-1432-4204; Butler, David/0000-0001-5515-3416
FU UK Engineering and Physical Sciences Research Council [EP/K006924/1];
   Welsh Government; Environment Agency; Consumer Council for Water;
   Environmental Sustainability Knowledge Transfer Network; Water Industry
   Forum; Severn Trent Water; Northumbrian Water; Arup; Black and Veatch;
   Hyder; ACO Technologies; EPSRC [EP/K006924/1] Funding Source: UKRI
FX This work is funded by the UK Engineering and Physical Sciences Research
   Council (EP/K006924/1) and is supported by the Welsh Government, the
   Environment Agency, the Consumer Council for Water, the Environmental
   Sustainability Knowledge Transfer Network, the Water Industry Forum,
   Severn Trent Water, Northumbrian Water, Arup, Black and Veatch, Hyder
   and ACO Technologies. Sincere thanks go to Sabina Leonelli who helped to
   shape the direction of the research and thanks to all of the
   organisations that are featured in the analysis presented in this paper,
   as well as anonymous reviewers for their support in developing this
   paper.
CR [Anonymous], ECNE06039
   [Anonymous], 2011, GEOGRAPHICA HELVETIC
   Astaraie-Imani M, 2012, J ENVIRON MANAGE, V112, P1, DOI 10.1016/j.jenvman.2012.06.039
   Beilin R, 2013, ECOL SOC, V18, DOI 10.5751/ES-05360-180230
   Bell S.J., 2013, P AS PAC WAT REC C B
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D., 2016, GLOB CHALL, V1
   Caniëls MCJ, 2008, FUTURES, V40, P613, DOI 10.1016/j.futures.2007.12.005
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Chevarria D., 2015, P 6 INT SUST TRANS C
   de Haan FJ, 2015, ENVIRON INNOV SOC TR, V15, P1, DOI 10.1016/j.eist.2014.11.005
   de Haan FJ, 2014, TECHNOL FORECAST SOC, V85, P121, DOI 10.1016/j.techfore.2013.09.005
   Delaney C, 2015, TECHNOL SOC, V42, P179, DOI 10.1016/j.techsoc.2015.05.009
   Domènech L, 2015, ENVIRON INNOV SOC TR, V15, P26, DOI 10.1016/j.eist.2014.01.001
   Edwards G., 2010, A Mixed Methods Approach to Social Network Analysis
   Eppel E., 2014, 1401 I GOV POL STUD
   Farmani R, 2012, P I CIVIL ENG-ENG SU, V165, P89, DOI 10.1680/ensu.2012.165.1.89
   Farrelly MA, 2014, URBAN WATER J, V11, P392, DOI 10.1080/1573062X.2013.793729
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Fu GT, 2012, WATER SCI TECHNOL, V65, P2112, DOI 10.2166/wst.2012.127
   Fuller J, 2012, BMC HEALTH SERV RES, V12, DOI 10.1186/1472-6963-12-152
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   de Haan J, 2011, TECHNOL FORECAST SOC, V78, P90, DOI 10.1016/j.techfore.2010.10.008
   Hegger DLT, 2007, TECHNOL ANAL STRATEG, V19, P729, DOI 10.1080/09537320701711215
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Hoolohan C., 2016, Br. J. Environ. Clim. Chang., V6, P179, DOI [DOI 10.9734/BJECC/2016/18187, DOI 10.9734/BJECC/2015/18187]
   Hubacek Klaus, 2006, International Journal of Biodiversity Science & Management, V2, P249
   Kemp R, 1998, TECHNOL ANAL STRATEG, V10, P175, DOI 10.1080/09537329808524310
   Lieberherr E, 2015, ENVIRON INNOV SOC TR, V15, P101, DOI 10.1016/j.eist.2013.12.002
   Loorbach D, 2010, GOVERNANCE, V23, P161, DOI 10.1111/j.1468-0491.2009.01471.x
   Lopolito A, 2013, RES POLICY, V42, P1225, DOI 10.1016/j.respol.2013.03.002
   Makropoulos CK, 2008, ENVIRON MODELL SOFTW, V23, P1448, DOI 10.1016/j.envsoft.2008.04.010
   Markovsky B., 1998, The Problems of Solidarity: Theories and models, P343
   Marlow DR, 2013, WATER RES, V47, P7150, DOI 10.1016/j.watres.2013.07.046
   Melville-Shreeve P, 2016, WATER-SUI, V8, DOI 10.3390/w8040129
   Mikovits C, 2014, PROCEDIA ENGINEER, V70, P1147, DOI 10.1016/j.proeng.2014.02.127
   Monaghan A, 2009, TECHNOL FORECAST SOC, V76, P1026, DOI 10.1016/j.techfore.2009.04.003
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nastar M, 2014, ECOL SOC, V19, DOI 10.5751/ES-06570-190257
   Organisation for Economic Co-operation and Development, 2011, OECD STUD WAT
   Pisano U., 2014, TRANSITION MANAGEMEN
   Prell C, 2009, SOC NATUR RESOUR, V22, P501, DOI 10.1080/08941920802199202
   Quitzau MB, 2012, TECHNOL FORECAST SOC, V79, P1049, DOI 10.1016/j.techfore.2011.11.009
   Raven R, 2010, INT J TECHNOL MANAGE, V51, P57, DOI 10.1504/IJTM.2010.033128
   Roex A, 2007, ACAD MED, V82, P616, DOI 10.1097/ACM.0b013e3180556abd
   Schiffer E, 2010, FIELD METHOD, V22, P231, DOI 10.1177/1525822X10374798
   Schot J, 2008, TECHNOL ANAL STRATEG, V20, P537, DOI 10.1080/09537320802292651
   Segre Sandro., 2004, J CLASS SOCIOL, V4, P215
   Seyfang G, 2014, ENVIRON INNOV SOC TR, V13, P21, DOI 10.1016/j.eist.2014.04.004
   Shove E, 2010, RES POLICY, V39, P471, DOI 10.1016/j.respol.2010.01.019
   Sourceforge, 2015, SOC NETW VIS
   Springer A.C., 2011, Journal of Extention, V49, P1
   Strang Veronica., 2013, Gardening the World: Agency, Identity and the Ownership of Water
   Sweetapple C., 2015, WATER RES, V55, P52
   Ter Wal ALJ, 2009, ANN REGIONAL SCI, V43, P739, DOI 10.1007/s00168-008-0258-3
   UN Water, 2010, CLIMATE CHANGE ADAPT
   Urich C., 2011, P 12 INT C URB DRAIN
   van Buuren A, 2009, PUBLIC MANAG REV, V11, P375, DOI 10.1080/14719030902798289
   van der Brugge R, 2007, ECOL SOC, V12
   Ward S, 2012, TECHNOL FORECAST SOC, V79, P1354, DOI 10.1016/j.techfore.2012.04.001
   Ward S., 2016, P WAT EFF BUILD NETW
   Ward S., 2015, BR J ENV CLIM CHANG, V6, P216
   Ward S., 2011, P COMP CONTR WAT IND
   Wasserman S, 1994, STRUCTURAL ANAL SOCI, V8, DOI DOI 10.1017/CBO9780511815478
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   Wen B, 2015, ENVIRON INNOV SOC TR, V15, P123, DOI 10.1016/j.eist.2014.03.002
   WHO, 2009, RES WAT SUPPL SAN FA
   Witkamp M.J., 2011, 1006 EINDH CTR INN S
NR 69
TC 16
Z9 21
U1 1
U2 48
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD NOV
PY 2016
VL 8
IS 11
AR 526
DI 10.3390/w8110526
PG 25
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA EE5PR
UT WOS:000389660700050
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Alanazi, MD
   Albekairi, M
   Abbas, G
   Alanazi, TM
   Kaaniche, K
   Elsayed, G
   Mercorelli, P
AF Alanazi, Meshari D.
   Albekairi, Mohammed
   Abbas, Ghulam
   Alanazi, Turki M.
   Kaaniche, Khaled
   Elsayed, Gehan
   Mercorelli, Paolo
TI Resilient Privacy Preservation Through a Presumed Secrecy Mechanism for
   Mobility and Localization in Intelligent Transportation Systems
SO SENSORS
LA English
DT Article
DE forward secrecy; intelligent transportation; smart cities; transfer
   learning; machine learning
AB An intelligent transportation system (ITS) offers commercial and personal movement through the smart city (SC) communication paradigms with hassle-free information sharing. ITS designs and architectures have improved via information and communication technologies in recent years. The information shared through the communication medium in SCs is exposed to adversary risk, resulting in privacy issues. Privacy issues impact the contingent mobility and localization of the ITS path. This paper introduces a novel resilient privacy preserving (RPP) method through presumed secrecy (PS) to provide a robust privacy measure. The privacy of the progressive communication sessions is preserved based on the previous security depletion levels. The interruptions in traffic data-related communication sessions are recurrently identified, and re-handoffs are recommended with dodged transfer learning. The empirical results indicate a 25% reduction in computational overhead and a 30% enhancement in privacy protection over conventional methods, demonstrating the model's efficacy in secure ITS communication. Compared with existing methods, the proposed approach decreases security depletion rates by 15% across varying traffic densities, underscoring ITS resilience in high-interaction scenarios.
C1 [Alanazi, Meshari D.; Albekairi, Mohammed; Kaaniche, Khaled] Jouf Univ, Coll Engn, Dept Elect Engn, Sakakah 72388, Saudi Arabia.
   [Abbas, Ghulam] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China.
   [Alanazi, Turki M.] Univ Hafr Al Batin, Coll Engn, Dept Elect Engn, Hafar al Batin 39524, Saudi Arabia.
   [Elsayed, Gehan] Jouf Univ, Coll Engn, Dept Interior Design, Sakakah 72388, Saudi Arabia.
   [Mercorelli, Paolo] Leuphana Univ Luneburg, Inst Prod Technol & Syst IPTS, D-21335 Luneburg, Germany.
C3 Al Jouf University; Southeast University - China; Hafr Albatin
   University; Al Jouf University; Leuphana University Luneburg
RP Elsayed, G (corresponding author), Jouf Univ, Coll Engn, Dept Interior Design, Sakakah 72388, Saudi Arabia.; Mercorelli, P (corresponding author), Leuphana Univ Luneburg, Inst Prod Technol & Syst IPTS, D-21335 Luneburg, Germany.
EM gaielsayed@ju.edu.sa; paolo.mercorelli@leuphana.de
RI Kaaniche, Khaled/GQZ-4360-2022; Mercorelli, Paolo/A-6479-2015; Abbas,
   Ghulam/JBR-8461-2023; Elsayed, Gehan/LYO-4935-2024
OI kaaniche, khaled/0000-0003-0625-6245; Alanazi,
   Meshari/0000-0003-1483-6207; Mercorelli, Paolo/0000-0003-3288-5280;
   Albekairi, Mohammed/0000-0002-5165-5950; Abbas,
   Ghulam/0000-0001-7383-6798; Elsayed, Gehan/0009-0001-0574-4733
FU Deanship of Graduate Studies and Scientific Research at Jouf University;
    [DGSSR-2024-02-01229]
FX This work was funded by the Deanship of Graduate Studies and Scientific
   Research at Jouf University under grant No. DGSSR-2024-02-01229.
CR Cai KX, 2024, INT J HUM-COMPUT INT, DOI 10.1080/10447318.2024.2376302
   Carbo J, 2024, ARTIF INTELL LAW, DOI 10.1007/s10506-024-09391-0
   Chen CX, 2023, IEEE T INTELL TRANSP, V24, P15158, DOI 10.1109/TITS.2023.3309783
   Costantino G, 2023, IEEE T INTELL TRANSP, V24, P258, DOI 10.1109/TITS.2022.3217358
   Din IU, 2023, IEEE ACCESS, V11, P65407, DOI 10.1109/ACCESS.2023.3290911
   Fan LL, 2024, IEEE T INTELL VEHICL, V9, P52, DOI 10.1109/TIV.2023.3341698
   Feng XZ, 2023, IEEE T INTELL TRANSP, V24, P4661, DOI 10.1109/TITS.2023.3241479
   Gao HH, 2023, IEEE T INTELL TRANSP, V24, P7599, DOI 10.1109/TITS.2022.3169421
   Gupta BB, 2023, IEEE T INTELL TRANSP, V24, P8483, DOI 10.1109/TITS.2022.3174333
   He XD, 2023, IEEE T INTELL TRANSP, V24, P2643, DOI 10.1109/TITS.2021.3135197
   Jiang S, 2023, INFORM SCIENCES, V635, P72, DOI 10.1016/j.ins.2023.03.121
   Kabil A, 2024, CRYPTOGRAPHY-BASEL, V8, DOI 10.3390/cryptography8030043
   Kaleem S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152115333
   Latif RMA, 2023, SYSTEMS-BASEL, V11, DOI 10.3390/systems11070322
   Li Z, 2024, IEEE T INTELL TRANSP, V25, P2253, DOI 10.1109/TITS.2022.3215325
   Liu PQ, 2024, ENG APPL ARTIF INTEL, V133, DOI 10.1016/j.engappai.2024.108639
   Miao YB, 2023, IEEE T INTELL TRANSP, V24, P13603, DOI 10.1109/TITS.2023.3295798
   Munawar A, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-52181-6
   Pal Kamalendu, 2024, Procedia Computer Science, V238, P135, DOI 10.1016/j.procs.2024.06.008
   Qu ZG, 2023, INFORM FUSION, V98, DOI 10.1016/j.inffus.2023.101824
   Qureshi KN, 2023, IEEE T INTELL TRANSP, V24, P7435, DOI 10.1109/TITS.2022.3158320
   Saleem MA, 2024, IEEE T CONSUM ELECTR, V70, P1747, DOI 10.1109/TCE.2023.3324273
   Sun XW, 2024, PHYS COMMUN-AMST, V63, DOI 10.1016/j.phycom.2023.102223
   Sun Y, 2023, IEEE T INTELL TRANSP, V24, P1062, DOI 10.1109/TITS.2021.3129598
   Tang LL, 2023, INFORM SCIENCES, V647, DOI 10.1016/j.ins.2023.119448
   Wang SQ, 2024, ELECTRONICS-SWITZ, V13, DOI 10.3390/electronics13081418
   Wang XD, 2023, IEEE T INTELL TRANSP, V24, P2074, DOI 10.1109/TITS.2021.3129417
   Wu Q, 2024, IEEE T NETW SERV MAN, V21, P4179, DOI 10.1109/TNSM.2024.3403842
   Wu Z, 2020, ENERGIES, V13, DOI 10.3390/en13051283
   Xu SW, 2024, IEEE T INTELL TRANSP, V25, P12108, DOI 10.1109/TITS.2024.3383668
   Yamany W, 2023, IEEE T INTELL TRANSP, V24, P893, DOI 10.1109/TITS.2021.3130906
   Yan K, 2024, IEEE INTERNET THINGS, V11, P9198, DOI 10.1109/JIOT.2023.3323011
   Zhang J, 2024, IEEE T INF FOREN SEC, V19, P7674, DOI 10.1109/TIFS.2024.3442609
   Zhou YX, 2023, CONNECT SCI, V35, DOI 10.1080/09540091.2023.2176825
   Zhu RB, 2023, IEEE T INTELL TRANSP, V24, P13396, DOI 10.1109/TITS.2023.3243088
   Zhu YS, 2024, CMES-COMP MODEL ENG, V141, P1305, DOI 10.32604/cmes.2024.054820
   Zuo KZ, 2024, J SUPERCOMPUT, V80, P13754, DOI 10.1007/s11227-024-05995-0
NR 37
TC 0
Z9 0
U1 2
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1424-8220
J9 SENSORS-BASEL
JI Sensors
PD JAN
PY 2025
VL 25
IS 1
AR 115
DI 10.3390/s25010115
PG 20
WC Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments
   & Instrumentation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Instruments & Instrumentation
GA R8L8S
UT WOS:001393904200001
PM 39796905
OA gold
DA 2025-04-22
ER

PT J
AU Chen, G
   Zhang, JW
AF Chen, Gen
   Zhang, Jia wan
TI Intelligent transportation systems: Machine learning approaches for
   urban mobility in smart cities
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban mobility; Intelligent transportation systems; Machine learning;
   Optimization; Smart cities; Sustainable transportation
ID ANALYTICS; TRENDS
AB Urban mobility in smart cities presents a complex challenge, demanding innovative solutions to address the ever-growing demands of transportation systems. This paper introduces a comprehensive approach that integrates machine learning techniques into the optimization of urban transportation. The proposed framework employs a multilayer objective function and incorporates constraints, considering factors such as interaction cost between transportation modes, energy consumption, and environmental impact. Leveraging a modified Teaching-Learning Based Optimization (TLBO) algorithm and a hybrid Artificial Neural Network-Recurrent Neural Network (ANN-RNN) technique, the model aims to enhance system adaptability and efficiency. In contrast to existing research, our work emphasizes a holistic optimization strategy that balances both the efficiency and sustainability of urban transportation. The outcomes of this research contribute to the advancement of Intelligent Transportation Systems, offering a nuanced understanding of system dynamics and providing a foundation for resilient and adaptive transportation networks in the evolving landscape of smart cities.
C1 [Chen, Gen; Zhang, Jia wan] Tianjin Univ, Coll intelligence & Comp, Tianjin 300000, Peoples R China.
C3 Tianjin University
RP Chen, G (corresponding author), Tianjin Univ, Coll intelligence & Comp, Tianjin 300000, Peoples R China.
EM genchen2023@sina.com
CR Ahad MA, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102301
   Alsrehin NO, 2019, IEEE ACCESS, V7, P49830, DOI 10.1109/ACCESS.2019.2909114
   Boukerche A, 2020, COMPUT NETW, V181, DOI 10.1016/j.comnet.2020.107530
   Bouzguenda I, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101627
   Brincat AA, 2019, 2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), P128, DOI [10.1109/WF-IoT.2019.8767247, 10.1109/wf-iot.2019.8767247]
   Cui ZY, 2020, IEEE T INTELL TRANSP, V21, P4883, DOI 10.1109/TITS.2019.2950416
   Ferdowsi A, 2019, IEEE VEH TECHNOL MAG, V14, P62, DOI 10.1109/MVT.2018.2883777
   Haarstad H, 2019, ENERG POLICY, V129, P918, DOI 10.1016/j.enpol.2019.03.001
   Haghighat Arya Ketabchi, 2020, Journal of Big Data Analytics in Transportation, V2, P115, DOI 10.1007/s42421-020-00020-1
   Hahn D, 2021, IEEE INTEL TRANSP SY, V13, P181, DOI 10.1109/MITS.2019.2898973
   Haydari A, 2022, IEEE T INTELL TRANSP, V23, P11, DOI 10.1109/TITS.2020.3008612
   Javed MA, 2019, VEH COMMUN, V15, P63, DOI 10.1016/j.vehcom.2018.10.004
   Kaffash S, 2021, INT J PROD ECON, V231, DOI 10.1016/j.ijpe.2020.107868
   Kumar N, 2021, IEEE T INTELL TRANSP, V22, P4919, DOI 10.1109/TITS.2020.2984033
   Lv Z., 2023, Green Technologies and Sustainability, DOI DOI 10.1016/J.GRETS.2022.100002
   Majumdar S, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102500
   Marquez-Ballesteros MJ, 2019, SUSTAIN CITIES SOC, V45, P335, DOI 10.1016/j.scs.2018.10.044
   MENEGUETTE R., 2018, Intelligent Transport System in Smart Cities: Aspects and Challenges of Vehicular Networks and Cloud
   Mfenjou ML, 2018, SUSTAIN COMPUT-INFOR, V19, P96, DOI 10.1016/j.suscom.2018.08.002
   Qian T, 2020, IEEE T SMART GRID, V11, P1714, DOI 10.1109/TSG.2019.2942593
   Qiu J, 2020, IEEE T IND INFORM, V16, P2659, DOI 10.1109/TII.2019.2943906
   Saharan S, 2020, COMPUT COMMUN, V150, P603, DOI 10.1016/j.comcom.2019.12.003
   Saleem M, 2022, EGYPT INFORM J, V23, P417, DOI 10.1016/j.eij.2022.03.003
   Silva BN, 2018, SUSTAIN CITIES SOC, V38, P697, DOI 10.1016/j.scs.2018.01.053
   Singh S, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102364
   Ullah Z, 2020, COMPUT COMMUN, V154, P313, DOI 10.1016/j.comcom.2020.02.069
   Wang W, 2021, IEEE T INTELL TRANSP, V22, P4601, DOI 10.1109/TITS.2020.3008935
NR 27
TC 13
Z9 13
U1 37
U2 42
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD JUL 15
PY 2024
VL 107
AR 105369
DI 10.1016/j.scs.2024.105369
EA APR 2024
PG 11
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA D8V8V
UT WOS:001298914600001
DA 2025-04-22
ER

PT J
AU Tang, JQ
   Xu, L
   Luo, CL
   Ng, TSA
AF Tang, Junqing
   Xu, Lei
   Luo, Chunling
   Ng, Tsan Sheng Adam
TI Multi-disruption resilience assessment of rail transit systems with
   optimized commuter flows
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Resilience; Rail transit systems; Bus-bridging services; Strategic
   recovery; Linear programming model
ID VULNERABILITY ASSESSMENT; NETWORK RESILIENCE; METRO NETWORK; RECOVERY;
   ROBUSTNESS; MITIGATION; MANAGEMENT; TOPOLOGY; IMPACTS; SERVICE
AB This paper studies the resilient performance of urban rail transit systems by extending a linear programming optimization model, which can provide optimized commuter flows with contingency routing under multiple disruptions. The rail transit systems in Singapore and Chongqing (China) are selected as case studies, and the system resilience and the effectiveness of providing bus-bridging services are comparatively studied. Intuitively, failures of the interchange stations would inevitably lead to a significant loss of resilience due to deteriorated network connectivity. However, the Singapore case shows that attacking those interchange stations does not always result in an extensive resilience loss. Comparing with the Chongqing case, it is discernible that the position of interchange stations would affect the system resilience. The numerical simulations reveal that the positive effect of providing bus-bridging strategy, in terms of improving the system resilience, is heterogeneous in different systems, which varies from 14% to 30% on average. As demonstrated in the sensitivity on travel demands, this positive effect is robust, yet dynamic, indicating that there is no one-size-fits-all solution for designing transfer-based recovery strategies in disruption management of rail transit systems. The managerial implications for decision makers are also provided and discussed in terms of infrastructure planning.
C1 [Tang, Junqing] Univ Cambridge, Dept Engn, Ctr Smart Infrastruct & Construct, Cambridge CB2 1PZ, England.
   [Xu, Lei] Shenzhen Res Inst Big Data, Shenzhen, Peoples R China.
   [Luo, Chunling] Hangzhou Normal Univ, Alibaba Business Sch, Hangzhou, Peoples R China.
   [Ng, Tsan Sheng Adam] Natl Univ Singapore, Dept Ind Syst Engn & Management, Singapore, Singapore.
C3 University of Cambridge; Shenzhen Research Institute of Big Data;
   Hangzhou Normal University; National University of Singapore
RP Xu, L (corresponding author), Shenzhen Res Inst Big Data, Shenzhen, Peoples R China.
EM jt746@cam.ac.uk; xulei@sribd.cn; iseluoc@gmail.com; isentsa@nus.edu.sg
RI LUO, Chunling/AAR-5049-2021
OI Xu, Lei/0000-0002-2763-1318; LUO, Chunling/0000-0001-9675-2618
FU National Research Foundation, Prime Minister's Office, Singapore under
   its Campus for Research Excellence and Technological Enterprise (CREATE)
   programme; Energy and Environmental Sustainability for Megacities (E2S2)
   program of the National Research Foundation, Prime Minister's Office,
   Singapore under its Campus for Research Excellence and Technological
   Enterprise (CREATE) programme; Ove Arup Foundation, UK [RG89525]
FX The authors thank the three anonymous reviewers for their valuable
   comments. This work is an outcome of the Future Resilient Systems
   project at the Singapore-ETH Centre (SEC), Singapore supported by the
   National Research Foundation, Prime Minister's Office, Singapore under
   its Campus for Research Excellence and Technological Enterprise (CREATE)
   programme. This research is also supported by the Energy and
   Environmental Sustainability for Megacities (E2S2) program of the
   National Research Foundation, Prime Minister's Office, Singapore under
   its Campus for Research Excellence and Technological Enterprise (CREATE)
   programme. The first author would also like to thank the Ove Arup
   Foundation, UK (RG89525) for their support on part of this work.
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   Batty M, 2020, ENVIRON PLAN B-URBAN, V47, P547, DOI 10.1177/2399808320926912
   Besinovic N, 2020, TRANSPORT REV, V40, P457, DOI 10.1080/01441647.2020.1728419
   Cacchiani V, 2012, TRANSPORT SCI, V46, P217, DOI 10.1287/trsc.1110.0388
   Cadarso L, 2013, TRANSPORT RES E-LOG, V53, P15, DOI 10.1016/j.tre.2013.01.013
   Chen LC, 2012, TRANSPORT SCI, V46, P109, DOI 10.1287/trsc.1110.0376
   Chen ZH, 2019, TRANSPORT RES D-TR E, V69, P168, DOI 10.1016/j.trd.2019.01.030
   Codina E, 2013, TOP, V21, P48, DOI 10.1007/s11750-012-0250-z
   De-Los-Santos A, 2012, TRANSPORT RES C-EMER, V20, P34, DOI 10.1016/j.trc.2010.09.002
   Dekker M, 2018, C ADV SYST PUBL TRAN
   Derrible S, 2010, PHYSICA A, V389, P3678, DOI 10.1016/j.physa.2010.04.008
   Diab E, 2018, CAN J CIVIL ENG, V45, P647, DOI 10.1139/cjce-2017-0294
   Dimitrov SD, 2016, PHYSICA A, V451, P373, DOI 10.1016/j.physa.2016.01.060
   DUNN DA, 1994, IEEE J SEL AREA COMM, V12, P88, DOI 10.1109/49.265708
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Gao Y, 2016, TRANSPORT RES B-METH, V93, P425, DOI 10.1016/j.trb.2016.08.011
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Goldbeck N, 2019, RELIAB ENG SYST SAFE, V188, P62, DOI 10.1016/j.ress.2019.03.007
   Gu W, 2018, TRANSPORT RES C-EMER, V91, P209, DOI 10.1016/j.trc.2018.03.015
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Hong L, 2015, RELIAB ENG SYST SAFE, V137, P58, DOI 10.1016/j.ress.2014.12.013
   Hu H, 2016, J URBAN PLAN DEV, V142, DOI 10.1061/(ASCE)UP.1943-5444.0000335
   Huang P, 2020, TRANSPORT RES C-EMER, V114, P338, DOI 10.1016/j.trc.2020.02.021
   Jespersen-Groth J, 2009, LECT NOTES COMPUT SC, V5868, P399, DOI 10.1007/978-3-642-05465-5_18
   Jin JG, 2016, TRANSPORT SCI, V50, P790, DOI 10.1287/trsc.2014.0577
   Jin JG, 2015, TRANSPORT RES E-LOG, V84, P73, DOI 10.1016/j.tre.2015.10.008
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Khadilkar H, 2017, TRANSPORT SCI, V51, P1161, DOI 10.1287/trsc.2016.0703
   Krozel J., 2007, AIR TRAFFIC CONTROL, V15, P209, DOI DOI 10.2514/ATCQ.15.3.209
   Kunimatsu T., 2014, WIT Trans. Built Environ., V135, P623
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   López FA, 2017, J TRANSP GEOGR, V59, P77, DOI 10.1016/j.jtrangeo.2017.02.002
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Luo CL, 2021, COMPUT OPER RES, V131, DOI 10.1016/j.cor.2021.105284
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Min O, 2019, RELIAB ENG SYST SAFE, V190, DOI 10.1016/j.ress.2019.106506
   Narayanaswami S, 2013, COMPUT IND ENG, V64, P469, DOI 10.1016/j.cie.2012.08.004
   Nielsen LK, 2012, EUR J OPER RES, V220, P496, DOI 10.1016/j.ejor.2012.01.037
   Ouyang M, 2012, CHAOS, V22, DOI 10.1063/1.4737204
   Pender B, 2012, 35 AUSTR TRANSP RES
   Pender B, 2014, J TRANSP GEOGR, V34, P202, DOI 10.1016/j.jtrangeo.2013.12.007
   Pender B, 2013, TRANSPORT RES REC, P22, DOI 10.3141/2353-03
   Sciamarelli M., 2017, SUSTAINABLE DEV GOAL, P91
   Sun D, 2016, TRANSPORT RES A-POL, V94, P348, DOI 10.1016/j.tra.2016.09.024
   Szymula C, 2020, TRANSPORT RES B-METH, V136, P30, DOI 10.1016/j.trb.2020.03.008
   Tang J., 2019, IEEE ACCESS
   Tang JQ, 2019, PHYSICA A, V532, DOI 10.1016/j.physa.2019.121794
   van der Hurk E, 2018, TRANSPORT SCI, V52, P1391, DOI 10.1287/trsc.2017.0759
   Veelenturf LP, 2017, TRANSPORT RES C-EMER, V80, P133, DOI 10.1016/j.trc.2017.04.012
   Vodopivec N, 2019, RELIAB ENG SYST SAFE, V191, DOI 10.1016/j.ress.2019.106561
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Xu L, 2020, TRANSPORT SCI, V54, P1388, DOI 10.1287/trsc.2020.0998
   Yin HD, 2016, PROCEDIA ENGINEER, V138, P49, DOI 10.1016/j.proeng.2016.01.233
   Zeng AZ, 2012, TRANSPORT RES E-LOG, V48, P578, DOI 10.1016/j.tre.2011.11.005
   Zhang SY, 2018, TRANSPORT RES C-EMER, V97, P409, DOI 10.1016/j.trc.2018.11.001
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
NR 56
TC 61
Z9 64
U1 28
U2 244
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0951-8320
EI 1879-0836
J9 RELIAB ENG SYST SAFE
JI Reliab. Eng. Syst. Saf.
PD OCT
PY 2021
VL 214
AR 107715
DI 10.1016/j.ress.2021.107715
EA MAY 2021
PG 16
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Operations Research & Management Science
GA SV6EG
UT WOS:000663912500020
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Rota, FS
   Bagliani, M
   Feletig, P
AF Rota, Francesca Silvia
   Bagliani, Marco
   Feletig, Paolo
TI Breaking the Black-Box of Regional Resilience: A Taxonomy Using a
   Dynamic Cumulative Shift-Share Occupational Approach
SO SUSTAINABILITY
LA English
DT Article
DE regional resilience; shift-share analysis; employment dynamics; sector
   composition; metro-regions
ID ECONOMIC RESILIENCE; CRISIS; INNOVATION; CITIES; EUROPE
AB In the European literature on the regional and local development, the concept of resilience has progressively gained momentum, eventually overcoming that of competitiveness and posing a critical challenge for the future of territorial studies and the territorialisation of the policy discourse. In the current economic turmoil, the success of an urban and regional economy relies more and more on its capacity to react to sudden shocks in a positive and evolutionary perspective, i.e., in its resilience. Nevertheless, as a recent analysis of the employment dynamics of Italian metro-regions in the period before and after 2008 has demonstrated that the existing taxonomies may be distant from reality and hardly communicable. The paper proposes a taxonomy of regional resilience based on the consideration of the region's capacity of both improving its employment rate during the pre-crisis period and overcoming the concurrent performance of the nation. Via a shift-share analysis of the employment in Italian metro-regions, the paper investigates the contribution of the sectoral structure of the local labour market in terms of economic resilience. The result is twofold: a geography of the dynamism of the territorial systems in Italy that diverges from some "classic" interpretative frameworks; a novel taxonomic approach to regional resilience.
C1 [Rota, Francesca Silvia] CNR, Res Inst Sustainable Econ Growth, I-10024 Moncalieri, Italy.
   [Bagliani, Marco] Univ Turin, Dept Econ & Stat Cognetti de Martiis, I-10125 Turin, Italy.
   [Bagliani, Marco] Univ Turin, Interdisciplinary Res Inst Sustainabil, I-10125 Turin, Italy.
   [Feletig, Paolo] Socioecon Res Inst Piedmont Ires Piemonte, I-10125 Turin, Italy.
C3 Consiglio Nazionale delle Ricerche (CNR); Istituto di Ricerca sulla
   Crescita Economica Sostenibile (IRCRES-CNR); University of Turin;
   University of Turin
RP Rota, FS (corresponding author), CNR, Res Inst Sustainable Econ Growth, I-10024 Moncalieri, Italy.
EM francesca.rota@ircres.cnr.it; marco.bagliani@unito.it;
   feletig@ires.piemonte.it
RI Rota, Francesca/A-5343-2009; Bagliani, Marco/L-9652-2019
OI ROTA, FRANCESCA SILVIA/0000-0002-2098-7813
CR Adams PC, 2011, PROG HUM GEOG, V35, P37, DOI 10.1177/0309132510368451
   [Anonymous], 1977, PROBLEMATICA TERRITO
   Artige L, 2014, GROWTH CHANGE, V45, P667, DOI 10.1111/grow.12065
   Bagliani M., 2019, PROPOSTA ANALISI SHI, P119
   Bagliani M., 2020, RIV GEOGR ITAL, V2, DOI [10.3280/RGI2020-002001, DOI 10.3280/RGI2020-002001]
   BARFF RA, 1988, GROWTH CHANGE, V19, P1, DOI 10.1111/j.1468-2257.1988.tb00465.x
   Bartolini F., 2019, BACK FUTURE CIVILISA
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Blecic I, 2020, PLAN THEOR, V19, P172, DOI 10.1177/1473095219873365
   Bohme K., 2009, ESPON Typology Compilation
   Bonello V, 2020, COMPET REV, V30, P417, DOI 10.1108/CR-12-2019-0129
   Boschma R., 2010, HDB EVOLUTIONARY EC, V3, P39, DOI [10.4337/9781849806497.00007, DOI 10.4337/9781849806497.00007]
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bristow G, 2010, CAMB J REG ECON SOC, V3, P153, DOI 10.1093/cjres/rsp030
   Camagni  R., 2014, SCI REGIONALLI, V1, P69, DOI DOI 10.3280/SCRE2014-001005
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Capello R, 2013, ANN REGIONAL SCI, V51, P119, DOI 10.1007/s00168-012-0539-8
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Clark J, 2010, CAMB J REG ECON SOC, V3, P121, DOI 10.1093/cjres/rsp034
   Cooke P., 2004, REGIONAL INNOVATION, VSecond
   Cooke P, 2012, NEW HORIZ REG SCI, P403
   Cuadrado-Roura JR, 2016, CAMB J REG ECON SOC, V9, P153, DOI 10.1093/cjres/rsv034
   Dijkstra L, 2013, EUR PLAN STUD, V21, P334, DOI 10.1080/09654313.2012.716245
   Dini F., 2015, Il riordino territoriale dello Stato
   Dunn E.S., 1960, J AM STAT ASSOC, V6, P97
   Equihua M, 2020, PEERJ, V8, DOI 10.7717/peerj.8533
   European Observation Network for Territorial Development and Cohesion ( ESPON), 2014, TERR OBS NO 12 EC CR
   European Observation Network for Territorial Development and Cohesion (ESPON), 2005, FIN REP EUR OBS NETW
   European Observation Network for Territorial Development and Cohesion (ESPON), 2006, MAPP STRUCT EUR TERR
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Ferlaino F., 2017, QUALE RUOLO NUOVA PO, P301
   Fratesi U, 2018, ANN REGIONAL SCI, V60, P241, DOI 10.1007/s00168-017-0828-3
   Gambi L., 1974, QUAD STORICI, V9, P735
   Graziano P., 2020, Scienze Regionali, V19, P91, DOI [10.14650/95929, DOI 10.14650/95929]
   Groot SPT, 2011, CAMB J REG ECON SOC, V4, P437, DOI 10.1093/cjres/rsr024
   Halfacree K., 2001, International Journal of Population Geography, V7, P395, DOI DOI 10.1002/IJPG.238
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Hill E.W., 2011, Economic shocks and regional economic resilience
   Hollanders H., 2019, REGIONAL INNOVATION
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Ietri D., 2018, GEOTEMA, V57, P25
   Kresl P.K., 2016, Smaller cities in a world of competitiveness
   Lahr M.L., 2020, Handbook of Regional Science, DOI DOI 10.7282/T3-0GS3-NW29
   Lang T, 2011, GER ANNU SPAT RES PO, P15, DOI 10.1007/978-3-642-12785-4_2
   Markusen A, 1996, ECON GEOGR, V72, P293, DOI 10.2307/144402
   MARQUILLAS J.M. ESTEBAN., 1972, REGIONAL URBAN EC, V2, P249, DOI DOI 10.1016/0034-3331(72)90033-4
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Martini B., 2020, Scienze Regionali, P35, DOI 10.14650/95927
   Modica M., 2020, SCI REGION, V19, P11, DOI [10.14650/95926, DOI 10.14650/95926]
   Modica M, 2015, NETW SPAT ECON, V15, P211, DOI 10.1007/s11067-014-9261-7
   Muscara C., 1967, SVILUPPO IND POLITIC
   Nijkamp P., 2008, Regional Gazelles and Lions as Creative Creatures, A Meta Multicriterial Analysis of Innovation and Growth Potentials of European Regions
   OECD, 2010, TYP REG INN SYST 20
   Papa R., 2016, CITTA METROPOLITANE, DOI [10.6093/978-88-6887-00-8, DOI 10.6093/978-88-6887-00-8]
   Petraccone C., 2005, QUESTIONE MERIDIONAL
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Rizzi P., 2020, SCI REGIONALI, V19, P5
   Rodriguez-Pose A., 2020, LSE Public Policy Review, V1, P4
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Rota F.S., 2015, DOCUMENTO INQUADRAME
   Rullani E., 2001, FONDAZIONE ENI E MAT, V16, DOI [10.1007/978-94-010-0692-7_7, DOI 10.1007/978-94-010-0692-7_7]
   Sensier M, 2016, SPAT ECON ANAL, V11, P128, DOI 10.1080/17421772.2016.1129435
   SIHAG BS, 1989, GROWTH CHANGE, V20, P80, DOI 10.1111/j.1468-2257.1989.tb00497.x
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Toynbee A., 1947, CHALLENGE RESPONSE S, P60
   Urso G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11092679
   Varga A, 2004, REG STUD, V38, P977, DOI 10.1080/0034340042000280974
   Wignell P., 1989, Linguistics and Education, V1, P359, DOI DOI 10.1016/S0898-5898(89)80007-5
NR 71
TC 8
Z9 8
U1 1
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2020
VL 12
IS 21
AR 9070
DI 10.3390/su12219070
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA OR4HL
UT WOS:000589433400001
OA gold
DA 2025-04-22
ER

PT J
AU Wu, LY
   Zhang, JY
AF Wu, Lingyun
   Zhang, Jingyong
TI The effects of human movements on urban climate over Eastern China
SO NPJ URBAN SUSTAINABILITY
LA English
DT Article
ID NEW-YEAR HOLIDAY; MASS HUMAN MIGRATION; HEAT-ISLAND; CITIES; ECOLOGY;
   URBANIZATION; EXPANSION; IMPACTS; CITY; ADAPTATION
AB We live on an urban planet with unprecedented human mobility. In this study, we collectively analyze ten large cities over densely populated Eastern China, and detect that mass people outflows during Spring Festival (SF) holiday significantly cool down urban climate expressed as urban heat island intensity variation particularly at the nighttime after minimizing the effects of other factors. We estimate that the average nighttime cooling effects of the ten large cities over Eastern China during the SF holiday relative to the nearby background period are 0.63 degrees C stronger during the 2000s than during the 1990s. The attribution analysis points to that the urban cooling effects are primarily caused by mass people outflows during the SF holiday. Our findings help to better understand the complex interactions of human population dynamics, urban development, and the environment, and may have important implications for promoting sustainable, people-centered, and resilient development of our urban planet.
C1 [Wu, Lingyun] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing 100029, Peoples R China.
   [Zhang, Jingyong] Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing 100029, Peoples R China.
   [Zhang, Jingyong] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Atmospheric Physics, CAS;
   Chinese Academy of Sciences; Institute of Atmospheric Physics, CAS;
   Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS
RP Zhang, JY (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing 100029, Peoples R China.; Zhang, JY (corresponding author), Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China.
EM zjy@mail.iap.ac.cn
RI Zhang, Jingyong/AAJ-1045-2020
OI Zhang, Jingyong/0000-0003-1056-8436
FU National Key Research and Development Program of China [2018YFA0606501,
   2017YFA0603601]; National Natural Science Foundation of China [41675085]
FX AcknowledgementsThis work was supported by the National Key Research and
   Development Program of China (2018YFA0606501, 2017YFA0603601) and the
   National Natural Science Foundation of China (Grant No.41675085).
CR Acuto M, 2018, NAT SUSTAIN, V1, P2, DOI 10.1038/s41893-017-0013-9
   [Anonymous], International tourism highlights - 2019 edition, DOI [DOI 10.18111/9789284421152, 10.18111/9789284421152]
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Bai XM, 2014, NATURE, V509, P158, DOI 10.1038/509158a
   Barbour E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11685-w
   Bouffanais R, 2020, NATURE, V583, P352, DOI 10.1038/d41586-020-02072-3
   Des Roches S, 2021, EVOL APPL, V14, P248, DOI 10.1111/eva.13065
   Desa U. N., 2019, World population prospects 2019: Highlights
   Elmqvist T, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00018-w
   Forman RTT, 2016, NATURE, V537, P608, DOI 10.1038/537608a
   Gong P, 2012, LANCET, V379, P843, DOI 10.1016/S0140-6736(11)61878-3
   Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Gu YF, 2018, URBAN CLIM, V24, P982, DOI 10.1016/j.uclim.2017.12.001
   Gurney KR, 2015, NATURE, V525, P179, DOI 10.1038/525179a
   Ichinose T, 1999, ATMOS ENVIRON, V33, P3897, DOI 10.1016/S1352-2310(99)00132-6
   Jacobson TA, 2019, NAT SUSTAIN, V2, P691, DOI 10.1038/s41893-019-0323-1
   Johnson MTJ, 2017, SCIENCE, V358, DOI 10.1126/science.aam8327
   Kalnay E, 2003, NATURE, V423, P528, DOI 10.1038/nature01675
   Kammen DM, 2016, SCIENCE, V352, P922, DOI 10.1126/science.aad9302
   Keys PW, 2019, NAT SUSTAIN, V2, P667, DOI 10.1038/s41893-019-0327-x
   Krayenhoff ES, 2018, NAT CLIM CHANGE, V8, P1097, DOI 10.1038/s41558-018-0320-9
   LANDSBERG HE, 1970, SCIENCE, V170, P1265, DOI 10.1126/science.170.3964.1265
   Levermore G, 2018, URBAN CLIM, V24, P360, DOI 10.1016/j.uclim.2017.02.004
   Li D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau4299
   Li D, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/5/054009
   Liu Z, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18922-7
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   Mitchell LE, 2018, P NATL ACAD SCI USA, V115, P2912, DOI 10.1073/pnas.1702393115
   Nagendra H, 2018, NAT SUSTAIN, V1, P341, DOI 10.1038/s41893-018-0101-5
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Oleson KW, 2011, INT J CLIMATOL, V31, P1848, DOI 10.1002/joc.2201
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Rodriguez RS, 2018, NAT CLIM CHANGE, V8, P181, DOI 10.1038/s41558-018-0098-9
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Shen HZ, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700300
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Taha H, 1997, ENERG BUILDINGS, V25, P99, DOI 10.1016/S0378-7788(96)00999-1
   United Nations Department of Economic and Social Affairs, 2019, Report
   United Nations Department of Economic and Social Affairs Population Division, 2018, World urbanization prospects: the 2018 revision
   United Nations-Habitat III, 2016, NEW URB AG
   Waters CN, 2016, SCIENCE, V351, P137, DOI 10.1126/science.aad2622
   Wei S, 2020, HUM SOC SCI COMMUN, V7, DOI [10.1057/s41599-020-00633-5, 10.1038/s41438-020-0268-6]
   Wigginton NS, 2016, SCIENCE, V352, P904, DOI 10.1126/science.352.6288.904
   World Bank, 2017, ANN REP 2017, DOI [10.18111/9789284419807, DOI 10.18111/9789284419807]
   World Meteorological Organization, 2020, United in Science 2020
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P222, DOI 10.1016/j.landurbplan.2014.02.010
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P209, DOI 10.1016/j.landurbplan.2014.01.018
   Wu LY, 2015, ATMOS OCEAN SCI LETT, V8, P63, DOI 10.3878/AOSL20140087
   Wu LY, 2018, THEOR APPL CLIMATOL, V131, P1203, DOI 10.1007/s00704-017-2043-7
   Yang JC, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aay3452
   Yang QQ, 2019, SCI TOTAL ENVIRON, V655, P652, DOI 10.1016/j.scitotenv.2018.11.171
   Yang QQ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09628-w
   Yang XJ, 2013, SCIENCE, V342, P310, DOI 10.1126/science.342.6156.310-a
   Zhang JY, 2018, J CLEAN PROD, V170, P1508, DOI 10.1016/j.jclepro.2017.09.274
   Zhang JY, 2017, SCI REP-UK, V7, DOI 10.1038/srep45813
   Zhang JY, 2015, SCI BULL, V60, P1543, DOI 10.1007/s11434-015-0864-2
   Zhang JY, 2015, SCI BULL, V60, P1038, DOI 10.1007/s11434-015-0809-9
   Zhao L, 2018, NAT CLIM CHANGE, V8, P1034, DOI 10.1038/s41558-018-0348-x
   Zhao L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9f73
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zhao SQ, 2015, ENVIRON SCI TECHNOL, V49, P9600, DOI 10.1021/acs.est.5b00065
   Zhou B, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04242-2
   Zhou DC, 2015, SCI REP-UK, V5, DOI 10.1038/srep11160
   Zhou LM, 2012, NAT CLIM CHANGE, V2, P539, DOI 10.1038/NCLIMATE1505
   Zhou LM, 2004, P NATL ACAD SCI USA, V101, P9540, DOI 10.1073/pnas.0400357101
NR 72
TC 7
Z9 7
U1 2
U2 5
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2661-8001
J9 NPJ URBAN SUSTAIN
JI npj Urban Sustain.
PD SEP 24
PY 2021
VL 1
IS 1
AR 36
DI 10.1038/s42949-021-00038-6
PG 8
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA I2JX5
UT WOS:001001109800001
OA gold
DA 2025-04-22
ER

PT J
AU Sherpa, TO
AF Sherpa, Tshering Ongmu
TI Integration of urban ecosystem-based adaptation in Nepal: A policy
   landscape analysis
SO PLOS ONE
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; SERVICES; GREEN; RISK; CONSERVATION;
   FRAMEWORK; DESIGN; CITIES; AREAS; PLANS
AB Ecosystem-based adaptation (EbA) is an ecologically sensitive, cost-effective, and locally adaptive climate adaptation strategy to strengthen the climate resilience of vulnerable communities. While many studies on EbA have been conducted in rural and mountainous regions or within the natural sciences realm, there is a lack of comprehensive research that assesses how urban EbA measures have been incorporated into existing policies and plans in Global South, including in Nepal. Ecosystem-based adaptation is in the early stages of its establishment as a fundamental component to address climate adaptation and sustainable development in urban environments. Accordingly, effective integration strategies, challenges, potential focal areas, and entry points have yet to be extensively studied. To address the literature gap, this paper analyses the types of EbA interventions and the extent of urban EbA integration within Nepal's climate, urban, and sectoral policies and plans. Direct content analysis and a qualitative scoring system were used to evaluate the plan components and assess the level of EbA integration. The findings indicate that the policies and plans recognise the importance of conserving, enhancing, and managing ecosystems for climate change adaptation, and EbA measures are mainly included in action-oriented sections. However, the results also reveal inadequate EbA integration, particularly in the information base, vision and objectives, and implementation aspects. The implementation component notably lacks comprehensive provisions for budget allocation, responsible authorities, definite timelines, and clear roadmaps. The breakdown of EbA integration in the policies and plans suggests that climate and urban plans substantially integrate urban EbA measures, but discrepancies exist with climate and urban policies and sectoral policies and plans. These findings collectively emphasise a pressing need to enhance the recognition and integration of urban EbA measures within policy frameworks with a view towards strengthening climate resilience and mitigating climate-related hazards in urban environments.
C1 [Sherpa, Tshering Ongmu] Kyoto Univ, Grad Sch Global Environm Studies, Kyoto, Japan.
C3 Kyoto University
RP Sherpa, TO (corresponding author), Kyoto Univ, Grad Sch Global Environm Studies, Kyoto, Japan.
EM tsering25.ts@gmail.com
OI Sherpa, Tshering Ongmu/0000-0002-5737-4252
CR Acharya K.K., 2018, Dhaulagiri J Sociol Anthropol, V12, P37, DOI DOI 10.3126/DSAJ.V12I0.22178
   Adhikari S, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5030042
   Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Alexandria E, 2008, BUILD ENVIRON, V43, P480, DOI 10.1016/j.buildenv.2006.10.055
   [Anonymous], 2016, Risk Sensitive Land Use Plan of Kathmandu Valley (RSLUP)
   [Anonymous], 2014, UNDESA World Urbanization Prospects: 2014 Revision
   [Anonymous], 2015, UNDP Making the case for ecosystem-based adaptation: the global mountain EbA programme in Nepal, Peru and Uganda
   [Anonymous], 2019, Local Adaptation Plans for Action (LAPA)
   [Anonymous], 2000, Arab Rep. DHS
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Benedict M., 2006, Bibliovault OAI Repos Univ Chic Press, V22
   Bhandari A., 2021, Journal of Forest and Livelihood, V20, P31
   Bhattarai S, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2021.105391
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bouwma I, 2018, ECOSYST SERV, V29, P213, DOI 10.1016/j.ecoser.2017.02.014
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Braat LC, 2012, ECOSYST SERV, V1, P4, DOI 10.1016/j.ecoser.2012.07.011
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Bruno E, 2023, LAND USE POLICY, V131, DOI 10.1016/j.landusepol.2023.106694
   CBD Convention on Biological Diversity, 2009, CBD Technical Series, V41
   Colls A., 2009, Ecosystem-based adaptation: a natural response to climate change
   Cortinovis C, 2018, LAND USE POLICY, V70, P298, DOI 10.1016/j.landusepol.2017.10.017
   Darjee KB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313115
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   Disaster Risk Reduction National Strategic Action Plan (DRRNSAP), 2018, ABOUT US
   Dissanayaka KDCR, 2022, NAT HAZARDS, V110, P1, DOI 10.1007/s11069-021-04965-6
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Doswald N., 2011, BfN - Skripten (Bundesamt fur Naturschutz)
   Eckstein D., 2019, GLOBAL CLIMATE RISK
   EEA, 2012, EEA Technical report No 2/2012, P143
   Forest Sector Strategy (FSS), 2016, ABOUT US
   Geneletti D, 2019, SPRINGERBR ENV SCI, P21, DOI 10.1007/978-3-030-20024-4_3
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Ghimire R, 2022, ECOL SOC, V27, DOI 10.5751/ES-13630-270428
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Goodwin S, 2023, NAT SUSTAIN, V6, DOI 10.1038/s41893-022-01036-x
   Govindarajulu D, 2014, URBAN CLIM, V10, P35, DOI 10.1016/j.uclim.2014.09.006
   Hawkins Dan, 2018, Pilot Training Next cadre discuss lessons learned, way forward
   Heidrich O, 2013, CLIMATIC CHANGE, V120, P771, DOI 10.1007/s10584-013-0846-9
   Hsieh CM, 2016, COMPUT ENVIRON URBAN, V57, P130, DOI 10.1016/j.compenvurbsys.2016.02.005
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Huq N., 2013, Ecosystem based adaptation (EbA) to climate change-integrating actions to sustainable adaptation
   Huq N, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060926
   Ioanna N, 2022, EURO-MEDITERR J ENVI, V7, P339, DOI 10.1007/s41207-022-00317-3
   Ishtiaque A, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4040072
   IUCN IUCN Global Standard for Nature-Based Solutions, 2020, A User-Friendly Framework for the Verification, Design and Scaling up of NbS, V1st
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Joshi Ganesh R., 2021, Nepal Public Policy Review, V1, P212, DOI 10.3126/nppr.v1i1.43459
   Kantartzis A, 2021, WATER-SUI, V13, DOI 10.3390/w13101408
   Karki G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313195
   Khatri DB, 2022, CLIM POLICY, V22, P1084, DOI 10.1080/14693062.2022.2090891
   Koo TK, 2016, J CHIROPR MED, V15, P155, DOI 10.1016/j.jcm.2016.02.012
   Kumar P, 2015, LAND USE POLICY, V42, P210, DOI 10.1016/j.landusepol.2014.07.016
   KVDA, 2015, 20 years Strategic Development Master Plan (SDMP) for Kathmandu Valley
   Kyriakopoulos GL, 2023, CLIMATE, V11, DOI 10.3390/cli11050105
   McVittie A, 2018, INT J DISAST RISK RE, V32, P42, DOI 10.1016/j.ijdrr.2017.12.014
   Ministry of Population and Environment(MoPE), 2017, National Citizen Security Plan
   Mishra B., 2019, Int J Environ, V8, P17, DOI [10.3126/ije.v8i1.22546, DOI 10.3126/IJE.V8I1.22546]
   Mitoulis SA, 2023, TRANSPORT RES D-TR E, V121, DOI 10.1016/j.trd.2023.103800
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Munang R, 2013, ENVIRONMENT, V55, P29, DOI 10.1080/00139157.2013.748395
   National Adaptation Plan (NAP), 2021, ABOUT US
   National Adaptation Programme of Action to Climate Change (NAPA), 2010, ABOUT US
   National Biodiversity Strategy and Action Plan (NBSAP), 2014, ABOUT US
   National Cancer Control Programme (NCCP), 2019, ABOUT US
   National Environment Policy (NEP), 2019, Ministry of Forests and Environment, Government of Nepal
   National Land Use Policy (NLUP), 2015, ABOUT US
   National Statistics Office, 2021, National Population and Housing Census 2021 National Report
   National Urban Development Strategy (NUDS), 2017, Urban Development and Physical Planning Division
   National Urban Policy (NUP), 2007, Department of Urban Development and Building Construction
   Niemelä J, 2010, BIODIVERS CONSERV, V19, P3225, DOI 10.1007/s10531-010-9888-8
   OKE TR, 1988, ENERG BUILDINGS, V11, P103, DOI 10.1016/0378-7788(88)90026-6
   Oxfam, 2014, Finding the money: A stock taking of climate change adaptation finance and governance in Nepal
   Pauleit S, 2017, THEOR PRACT URB SUST, P29, DOI 10.1007/978-3-319-56091-5_3
   Pokhrel S, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab4565
   Poudel S., 2021, In: Ecosystem-Based Disaster and Climate Resilience, P85, DOI DOI 10.1007/978-981-16-4815-14
   Reid H, 2018, RES RESULTS MOUNTAIN
   Ribeiro RM, 2022, ECOL SOC, V27, DOI 10.5751/ES-13224-270201
   Roberts D.C., 2022, Climate Change 2022: Impacts, adaptation and vulnerability. Contribution of working group ii to the sixth assessment report of the Intergovernmental Panel on Climate Change, P3, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009325844.001]
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Rozas-Vásquez D, 2018, LAND USE POLICY, V71, P303, DOI 10.1016/j.landusepol.2017.12.015
   Sandholz S, 2018, INT J DISAST RISK RE, V32, P75, DOI 10.1016/j.ijdrr.2018.01.020
   Sandholz S, 2016, ADV NAT TECH HAZ RES, V42, P335, DOI 10.1007/978-3-319-43633-3_15
   Saurav KC, 2021, J ENVIRON MANAGE, V281, DOI 10.1016/j.jenvman.2020.111894
   Scarano FR, 2017, PERSPECT ECOL CONSER, V15, P65, DOI 10.1016/j.pecon.2017.05.003
   Schmidt K, 2021, ONE ECOSYSTEM, V6, DOI 10.3897/oneeco.6.e65706
   Schneider P, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105722
   Sebos I., Copernicus Meetings; 2023, DOI [10.5194/ems2023-73, DOI 10.5194/EMS2023-73]
   Shepherd G., 2008, The Ecosystem Approach: Learning from Experience
   Skelhorn C, 2014, LANDSCAPE URBAN PLAN, V121, P129, DOI 10.1016/j.landurbplan.2013.09.012
   Sofios Spyridon, 2008, Environmentalist, V28, P185, DOI 10.1007/s10669-007-9126-4
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   Taylor L, 2015, URBAN ECOSYST, V18, P747, DOI 10.1007/s11252-014-0427-3
   Nguyen TT, 2017, CLIMATIC CHANGE, V142, P97, DOI 10.1007/s10584-017-1936-x
   Timisina NetraPrasad., 2020, TOMORROWS CITIES PUB, DOI [DOI 10.7488/ERA/722, 10.7488/ERA/722]
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Wang G., 2020, Handbook of Climate Change Management: Research, Leadership, Transformation, P1, DOI DOI 10.1007/978-3-030-22759-3_331-1
   Water Supply Sanitation and Hygiene Sector Development Plan (WSSHSDP), 2016, ABOUT US
   Wertz-Kanounnikoff S, 2011, CLIM DEV, V3, P143, DOI 10.1080/17565529.2011.582277
   Wong MS, 2010, BUILD ENVIRON, V45, P1880, DOI 10.1016/j.buildenv.2010.02.019
   Zari MP, 2020, OCEAN COAST MANAGE, V184, DOI 10.1016/j.ocecoaman.2019.105037
   Zari MP, 2018, ROUT RES SUSTAIN URB, P1
   Zerva A, 2018, ENVIRON SCI POLICY, V82, P60, DOI 10.1016/j.envsci.2018.01.008
   Zölch T, 2018, J CLEAN PROD, V170, P966, DOI 10.1016/j.jclepro.2017.09.146
NR 110
TC 0
Z9 0
U1 0
U2 1
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD JAN 31
PY 2024
VL 19
IS 1
AR e0297786
DI 10.1371/journal.pone.0297786
PG 26
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA HJ3E3
UT WOS:001159085100005
PM 38295052
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Shirzadi, N
   Nasiri, F
   El-Bayeh, C
   Eicker, U
AF Shirzadi, Navid
   Nasiri, Fuzhan
   El-Bayeh, Claude
   Eicker, Ursula
TI Optimal dispatching of renewable energy-based urban microgrids using a
   deep learning approach for electrical load and wind power forecasting
SO INTERNATIONAL JOURNAL OF ENERGY RESEARCH
LA English
DT Article
DE energy storage; microgrid; mixed integer programming; optimal
   dispatching; renewable energies; resilience; unit commitment; wind
   curtailment
ID NEURAL-NETWORKS; HYBRID APPROACH; TIME-SERIES; OPTIMIZATION; DEMAND;
   ARIMA
AB Optimal load dispatching plays a vital role in improving the reliability and efficiency of renewable energy systems. This research presents a Mixed-Integer Linear Programming (MILP) approach for optimizing a power system's daily operational cost while increasing its resilience, including a wind turbine, battery, and conventional grid. Deep learning and statistical models along with a novel hybrid model, were developed and used to forecast the 3 days ahead load demand and wind power output. Testing these models shows that the proposed hybrid model could predict load with more accuracy than other models and it could reduce the root mean squared error by 22% to 44% for load forecasting and by 10.5% to 16.6% for wind speed prediction. The MILP model is applied for optimizing the load dispatch of an urban microgrid. The results of the dispatching model show that adding battery storage not only can bring down the grid-connected daily operational cost (from $8.4/day cost to $109.8/day income) and increase the resilience of the system by providing an off-grid mode, but also can extend its lifetime through minimization of degradation cost. The results also indicate that the degradation cost of batteries will contribute to a bigger portion of the operational costs in an off-grid mode in comparison to that of wind power curtailment cost. This research can inform effective and logical decisions for urban micro-grids and direct better integration and use of renewable energy systems in urban areas.
C1 [Shirzadi, Navid; Nasiri, Fuzhan; El-Bayeh, Claude; Eicker, Ursula] Concordia Univ, Gina Cody Sch Engn & Comp Sci, 1455 Blvd Maisonneuve, Montreal, PQ, Canada.
C3 Concordia University - Canada
RP Shirzadi, N (corresponding author), Concordia Univ, Gina Cody Sch Engn & Comp Sci, 1455 Blvd Maisonneuve, Montreal, PQ, Canada.
EM navid.shirzadi@concordia.ca
RI El-Bayeh, Claude/B-9636-2012; Nasiri, Fuzhan/JPL-6869-2023
OI Nasiri, Fuzhan/0000-0002-7423-0621; Shirzadi, Navid/0000-0003-1239-488X
FU Canada Excellence Research Chair in Smart, Sustainable and Resilient
   Communities and Cities; NSERC Discovery grant [RGPIN-2016-06727]
FX Canada Excellence Research Chair in Smart, Sustainable and Resilient
   Communities and Cities; NSERC Discovery grant, Grant/Award Number:
   RGPIN-2016-06727
CR Aasim, 2019, RENEW ENERG, V136, P758, DOI 10.1016/j.renene.2019.01.031
   Alencar DB, 2018, IEEE ACCESS, V6, P55986, DOI 10.1109/ACCESS.2018.2872720
   [Anonymous], 1991, THESIS TU MUNCHEN
   Arunraj N.S., 2016, Int. J. Oper. Res. Inf. Syst., V7, P1, DOI DOI 10.4018/IJORIS.2016040101
   Augustine N, 2012, IEEE C ELEC DEVICES
   BENGIO Y, 1994, IEEE T NEURAL NETWOR, V5, P157, DOI 10.1109/72.279181
   Bhatti AR, 2016, ENRGY PROCED, V103, P213, DOI 10.1016/j.egypro.2016.11.275
   Bird L, 2016, RENEW SUST ENERG REV, V65, P577, DOI 10.1016/j.rser.2016.06.082
   Chen SX, 2012, IEEE T SMART GRID, V3, P142, DOI 10.1109/TSG.2011.2160745
   Elkadeem MR, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.102013
   Fattah J, 2018, INT J ENG BUS MANAG, V10, DOI 10.1177/1847979018808673
   Greff K, 2017, IEEE T NEUR NET LEAR, V28, P2222, DOI 10.1109/TNNLS.2016.2582924
   Heng Shi, 2018, IEEE Transactions on Smart Grid, V9, P5271, DOI 10.1109/TSG.2017.2686012
   Jozefowicz R., 2015, EMPIRICAL EXPLORATIO, V3, P2332
   Kanchev H, 2014, IEEE T SUSTAIN ENERG, V5, P1397, DOI 10.1109/TSTE.2014.2331712
   Kavasseri RG, 2009, RENEW ENERG, V34, P1388, DOI 10.1016/j.renene.2008.09.006
   Kavousi-Fard A, 2015, J INTELL FUZZY SYST, V28, P693, DOI 10.3233/IFS-141350
   Kialashaki A, 2013, APPL ENERG, V108, P271, DOI 10.1016/j.apenergy.2013.03.034
   Koutnik J., 2014, PROC ICML, V5, P3881
   Kuremoto T, 2014, NEUROCOMPUTING, V137, P47, DOI 10.1016/j.neucom.2013.03.047
   Liu H, 2018, ENERG CONVERS MANAGE, V156, P498, DOI 10.1016/j.enconman.2017.11.053
   Lu XH, 2020, APPL ENERG, V259, DOI 10.1016/j.apenergy.2019.114195
   Lu XH, 2018, J CLEAN PROD, V195, P187, DOI 10.1016/j.jclepro.2018.05.190
   Lu XH, 2017, J CLEAN PROD, V165, P1572, DOI 10.1016/j.jclepro.2017.07.221
   Nagapurkar P, 2019, J CLEAN PROD, V229, P552, DOI 10.1016/j.jclepro.2019.05.005
   Nageem R, 2017, PROCEDIA COMPUT SCI, V115, P723, DOI 10.1016/j.procs.2017.09.143
   Nie HZ, 2012, ENRGY PROCED, V16, P1455, DOI 10.1016/j.egypro.2012.01.229
   Rahman A, 2018, APPL ENERG, V212, P372, DOI 10.1016/j.apenergy.2017.12.051
   Shirzadi N, 2020, ENERGIES, V13, DOI 10.3390/en13143527
   Sun L, 2020, ENERGY REP, V6, P633, DOI 10.1016/j.egyr.2019.11.131
   Tektronix Lithium-Ion Battery Maintenance Guidelines, 2000, LITH ION BATT MAINT, P1
   Wang HZ, 2017, APPL ENERG, V188, P56, DOI 10.1016/j.apenergy.2016.11.111
   Wang JZ, 2015, RENEW ENERG, V78, P374, DOI 10.1016/j.renene.2014.12.074
   Wang JZ, 2014, ENERGY, V76, P526, DOI 10.1016/j.energy.2014.08.064
   Wen LL, 2019, ENERGY, V171, P1053, DOI 10.1016/j.energy.2019.01.075
   Xu X, 2020, ENERG CONVERS MANAGE, V211, DOI 10.1016/j.enconman.2020.112759
   Yang HJ, 2020, INT J ELEC POWER, V123, DOI 10.1016/j.ijepes.2020.106244
   Yao K., 2015, Depth-Gated Recurrent Neural Networks, P1
   Yatiyana E, 2017, AUSTR UNIV POWER ENG
   Zia MF, 2019, APPL ENERG, V237, P695, DOI 10.1016/j.apenergy.2019.01.040
NR 40
TC 27
Z9 28
U1 4
U2 38
PU WILEY-HINDAWI
PI LONDON
PA ADAM HOUSE, 3RD FL, 1 FITZROY SQ, LONDON, WIT 5HE, ENGLAND
SN 0363-907X
EI 1099-114X
J9 INT J ENERG RES
JI Int. J. Energy Res.
PD MAR 10
PY 2022
VL 46
IS 3
BP 3173
EP 3188
DI 10.1002/er.7374
EA OCT 2021
PG 16
WC Energy & Fuels; Nuclear Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Nuclear Science & Technology
GA ZG7CJ
UT WOS:000708888300001
OA gold
DA 2025-04-22
ER

PT J
AU Prendergast, K
   Hayward, B
   Aoyagi, M
   Burningham, K
   Hasan, MM
   Jackson, T
   Jha, V
   Loukianov, A
   Mattar, H
   Schudel, I
   Yoshida, A
AF Prendergast, Kate
   Hayward, Bronwyn
   Aoyagi, Midori
   Burningham, Kate
   Hasan, M. Mehedi
   Jackson, Tim
   Jha, Vimlendu
   Loukianov, Anastasia
   Mattar, Helio
   Schudel, Ingrid
   Yoshida, Aya
TI Towards a relational understanding of youth lifestyles and wellbeing in
   climate resilient urban development: insights from a seven-city study of
   young people
SO LOCAL ENVIRONMENT
LA English
DT Article; Early Access
DE Relational wellbeing; youth; cities; sustainable consumption; collective
   wellbeing
ID SUSTAINABILITY; POTENTIALS; HAPPINESS; CHILDREN; ANXIETY; SCIENCE
AB Supporting youth wellbeing in low carbon ways is a crucial challenge in cities. Seventy percent of youth will live in urban areas by 2050 and urban sites account for 67-72% of the global share of carbon emissions. Young people's consumption behaviour including energy use is increasingly identified as a key driver of urban emissions. This paper expands beyond dominant individualised approaches to examining urban youth wellbeing and consumption to interrogate the relational contexts in which young people live, their wellbeing aspirations, and the conditions that enable or lock-in lifestyle emissions. Applying a relational lens and thematic analysis to focus group data collected from 332 youth aged 12-24 years in seven cities of the global South and North, the paper examines experiences shaping youth wellbeing in the context of urban consumption activities. Findings emphasised the complexities of "linked lives", foregrounding family, peer and community relationships as critical in shaping youth wellbeing and consumption. Home was highlighted as a significant relational context, where family relationships impact wellbeing and energy use, through connection, comfort, conflict and compromise. Public space was also valued, but findings highlighted issues of identity and inequality that impact access. Findings also underscored the significance of beyond-human relationships. This cross-cultural research highlights underacknowledged complexities in youth wellbeing and consumption activities. Discussion proposes ways local government can adopt relational perspectives to advance climate resilient urban development, including cultivating meaningful relationships with youth and prioritising secure housing, access to green space, and care and integration of nature within urban landscapes.
C1 [Prendergast, Kate; Hayward, Bronwyn; Burningham, Kate; Hasan, M. Mehedi; Jackson, Tim; Loukianov, Anastasia] Univ Surrey, Ctr Understanding Sustainable Prosper, Guildford, England.
   [Prendergast, Kate; Hayward, Bronwyn] Univ Canterbury, Sch Social Language & Polit Sci, Private Bag 4800, Christchurch 8140, New Zealand.
   [Aoyagi, Midori; Yoshida, Aya] Natl Inst Environm Studies, Tsukuba, Japan.
   [Hasan, M. Mehedi] Jahangirnagar Univ, Dept Urban & Reg Planning, Dhaka, Bangladesh.
   [Jha, Vimlendu] Swechha, New Delhi, India.
   [Mattar, Helio] Akatu Inst Conscious Consumpt, Sao Paulo, Brazil.
   [Schudel, Ingrid] Rhodes Univ, Environm Learning Res Ctr, Makhanda, South Africa.
C3 University of Surrey; University of Canterbury; National Institute for
   Environmental Studies - Japan; Jahangirnagar University; Rhodes
   University
RP Prendergast, K (corresponding author), Univ Canterbury, Sch Social Language & Polit Sci, Private Bag 4800, Christchurch 8140, New Zealand.
EM kate.prendergast@canterbury.ac.nz
RI Schudel, Ingrid/H-1162-2017; Aoyagi, Midori/GYJ-4939-2022
FU UK Economic and Social Research Council [ES/M010163]; University of
   Canterbury
FX This work was supported by the UK Economic and Social Research Council
   funding to the Centre for the Understanding of Sustainable Prosperity
   [grant number ES/M010163]; University of Canterbury [PhD Scholarship].
CR Akresh R, 2016, FUTURE CHILD, V26, P51, DOI 10.1353/foc.2016.0003
   Allegretto G, 2022, URBAN FOR URBAN GREE, V74, DOI 10.1016/j.ufug.2022.127664
   [Anonymous], 2018, Advantage or Paradox? The challenge for children and young people of growing up urban
   [Anonymous], Definition of youth
   [Anonymous], 2021, The Climate Crisis is a Child Rights Crisis
   [Anonymous], 2018, Shaping Urbanization for Children: A Handbook on Child-Responsive Urban Planning
   [Anonymous], 2015, Rethinking Youth Wellbeing, DOI [10.1007/978-981-287-188-6_4, DOI 10.1007/978-981-287-188-6_4]
   Atkinson S, 2020, J HAPPINESS STUD, V21, P1903, DOI 10.1007/s10902-019-00146-2
   Banati P, 2020, EUR J DEV RES, V32, P1613, DOI 10.1057/s41287-020-00325-5
   Bashawri A, 2014, PROC ECON FINANC, V18, P924, DOI 10.1016/S2212-5671(14)01019-3
   Birch J, 2020, HEALTH PLACE, V62, DOI 10.1016/j.healthplace.2020.102296
   Böhme J, 2022, SUSTAIN SCI, V17, P2063, DOI 10.1007/s11625-022-01117-y
   Bond S, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102734
   Boyden J, 2019, Z PSYCHOL, V227, P157, DOI 10.1027/2151-2604/a000370
   Braun V, 2019, QUAL RES SPORT EXERC, V11, P589, DOI 10.1080/2159676X.2019.1628806
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   BRONFENBRENNER U, 1977, AM PSYCHOL, V32, P513, DOI 10.1037/0003-066x.32.7.513
   Burningham K, 2022, LOCAL ENVIRON, V27, P80, DOI 10.1080/13549839.2021.2001797
   Burningham K, 2020, INT J SOC RES METHOD, V23, P7, DOI 10.1080/13645579.2019.1672282
   Carroll P, 2015, J URBAN DES, V20, P417, DOI 10.1080/13574809.2015.1044504
   Chawla L., 2015, Growing up in an Urbanising World
   Chawla L, 2020, PEOPLE NAT, V2, P619, DOI 10.1002/pan3.10128
   Cieslik M., 2017, The Happiness riddle and the quest for a good life
   Clair A, 2019, CHILD INDIC RES, V12, P609, DOI 10.1007/s12187-018-9550-7
   Clark H, 2020, LANCET, V395, P605, DOI 10.1016/S0140-6736(19)32540-1
   Collins R, 2015, GEOFORUM, V60, P22, DOI 10.1016/j.geoforum.2015.01.006
   Cutter-Mackenzie-Knowles A., 2020, RES HDB CHILDHOODNAT
   DeSouza P. R., 2009, Indian Youth in a Transforming World: Attitudes and Perceptions, DOI [10.4135/9788132102564, DOI 10.4135/9788132102564]
   Dodman D., 2022, Climate Change 2022: Impacts, adaptation, and vulnerability, V1, P907
   Druckman A., 2016, TAKING STOCK IND ECO, P181, DOI DOI 10.1007/978-3-319-20571-7_9
   Fattore T, 2016, CHILD WELL-BEING IND, V14, P3, DOI 10.1007/978-94-024-0829-4
   Field C.B., 2012, SPECIAL REPORT IPCC
   Finlay AK, 2015, INT J BEHAV DEV, V39, P359, DOI 10.1177/0165025414544231
   Fjellså IF, 2021, ENERG SOURCE PART B, V16, P1076, DOI 10.1080/15567249.2021.1937403
   Francis J, 2012, J ENVIRON PSYCHOL, V32, P401, DOI 10.1016/j.jenvp.2012.07.002
   Friedman S, 2022, PEOPLE NAT, V4, P155, DOI 10.1002/pan3.10270
   Gobo G, 2011, INT J SOC RES METHOD, V14, P417, DOI 10.1080/13645579.2011.611379
   Graham A., 2013, Ethical research involving children
   Gram-Hanssen K., 2007, Sustain. Sci. Pract. Policy, V3, P15, DOI [DOI 10.1080/15487733.2007.11907998, https://doi.org/10.1080/15487733.2007.11907998]
   Greene CS, 2018, J ENVIRON MANAGE, V208, P24, DOI 10.1016/j.jenvman.2017.12.015
   Hacking EB, 2023, CHILD GEOGR, DOI 10.1080/14733285.2023.2285473
   Hargreaves T, 2020, NAT ENERGY, V5, P195, DOI 10.1038/s41560-020-0553-5
   Hasan M. M., 2021, Towards a PLAY Model of Youth Participation in Sustainable Urban Decision Making: Investigating Young Peoples Experiences, Expectations and Empowerment in Green Space and Public Transport Planning in Dhaka City
   Hayward B., 2021, Children, Citizenship and Environment: Schoolstrike Edition
   Hayward B, 2019, ANNU REV ENV RESOUR, V44, P157, DOI 10.1146/annurev-environ-101718-033119
   Heinrich M, 2022, ENERG BUILDINGS, V269, DOI 10.1016/j.enbuild.2022.112249
   Hickel J, 2022, NATURE, V612, P400, DOI 10.1038/d41586-022-04412-x
   Hickman C, 2021, LANCET PLANET HEALTH, V5, pE863, DOI 10.1016/S2542-5196(21)00278-3
   Hoefnagels N, 2023, URBAN FORUM, V34, P271, DOI 10.1007/s12132-022-09467-7
   Johnson D, 2021, LOCAL ENVIRON, V26, P477, DOI 10.1080/13549839.2021.1901266
   Jorgenson AK, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.554
   Klocker N, 2012, ENVIRON PLANN A, V44, P2240, DOI 10.1068/a44594
   Kraftl P, 2019, T I BRIT GEOGR, V44, P299, DOI 10.1111/tran.12277
   Le AD, 2024, J ADOLESCENT HEALTH, V74, pS67
   Lourens M., 2021, Stuff NZ
   Lwasa S., 2022, IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [10.1017/ 9781009157926.010, DOI 10.1017/9781009157926.010, 10.1017/9781009157926.010]
   McMeeking S, 2024, GEOGR RES-AUST, DOI 10.1111/1745-5871.12670
   Nawar N., 2022, ENV CHALLENGES, V6, P100425, DOI 10.1016/j.envc.2021.100425
   Newell P, 2021, GLOB SUSTAIN, V4, DOI 10.1017/sus.2021.23
   Nissen S., 2020, Sustainable Earth, V3, P1
   Nissen S., 2017, CUSP Working Paper No. 6
   OECD, 2023, How Green is Household Behaviour?: Sustainable Choices in a Time of Interlocking Crises, DOI [https://doi.org/10.1787/2bbbb663-en, DOI 10.1787/2BBBB663-EN]
   Peng YH, 2024, ENERGIES, V17, DOI 10.3390/en17123043
   Percy-Smith B., 2002, Growing up in an Urbanising World
   del Pulgar CP, 2020, CITIES, V96, DOI 10.1016/j.cities.2019.102438
   Pickard S, 2022, J YOUTH STUD, V25, P730, DOI 10.1080/13676261.2022.2046258
   Pipitone JM, 2021, URBAN FOR URBAN GREE, V65, DOI 10.1016/j.ufug.2021.127338
   Prendergast K., 2023, Wellbeing: Global Policies and Perspectives, P161
   Prendergast K., 2021, Children, Citizenship and the Environment, P197
   Prendergast K, 2021, FRONT POLIT SCI, V3, DOI 10.3389/fpos.2021.696105
   Rahman MS, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063383
   Ratuva S, 2016, CULT DYN, V28, P211, DOI 10.1177/0921374016652915
   Rawsthorne M, 2019, CHILD AUST, V44, P13, DOI 10.1017/cha.2018.53
   Reid A, 2019, ENVIRON EDUC RES, V25, P767, DOI 10.1080/13504622.2019.1664075
   Roy S, 2019, ENVIRON URBAN ASIA, V10, P216, DOI 10.1177/0975425319859126
   Ruiz-Mallén I, 2022, ENVIRON EDUC RES, V28, P1088, DOI 10.1080/13504622.2022.2070602
   Ryan RM, 2001, ANNU REV PSYCHOL, V52, P141, DOI 10.1146/annurev.psych.52.1.141
   Sangervo J, 2022, GLOBAL ENVIRON CHANG, V76, DOI 10.1016/j.gloenvcha.2022.102569
   Sanson AV, 2020, PEACE PSYCHOL BOOK S, P343, DOI 10.1007/978-3-030-22176-8_21
   Schipper E. L. F., 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Caro MS, 2022, CHILD GEOGR, V20, P206, DOI 10.1080/14733285.2021.1925633
   Spinnoy R., 2024, The Journal of Public Space, V9, P153, DOI [https://doi.org/10.32891/jps.v9i1.1814, DOI 10.32891/JPS.V9I1.1814]
   Stiglitz J., 2009, Report by the commission on the measurement of economic performance and social progress
   The Lambeth Children's Partnership Membership, 2023, Our Children, our Future: A Children and Young People's Plan for Lambeth 2018-22
   Thiery W, 2021, SCIENCE, V374, P158, DOI 10.1126/science.abi7339
   United Nations, 2016, World Cities Report 2016: Urbanization and Development-Emerging Futures
   United Nations, 2018, WORLD URBANIZATION P
   United Nations, 2024, Pact for the Future: Resolution Adopted by the General Assembly on 22 September 2024
   Vanderbeck RM, 2000, URBAN GEOGR, V21, P5, DOI 10.2747/0272-3638.21.1.5
   Vauxhall City Farm, 2023, Vauxhall City Farm
   Vogel J, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102287
   Volin E, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126818
   Walker M, 2012, CHILD GEOGR, V10, P135, DOI 10.1080/14733285.2012.667916
   West S, 2020, ECOSYST PEOPLE, V16, P304, DOI 10.1080/26395916.2020.1814417
   White SC, 2017, POLICY POLIT, V45, P121, DOI 10.1332/030557317X14866576265970
   White SC, 2010, DEV PRACT, V20, P158, DOI 10.1080/09614520903564199
   WHO-UNICEF-Lancet Commissioners, 2020, LANCET, V396, P298, DOI 10.1016/S0140-6736(20)31481-1
   Widerynski Stasia., 2017, Use of Cooling Centers to Prevent Heat-Related Illness: Summary of Evidence and Strategies for Implementation
   Witten K, 2019, SOC CULT GEOGR, V20, P1233, DOI 10.1080/14649365.2017.1347700
   World Health Organization, 2021, WHO global air quality guidelines: particulate matter (PM2. 5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide
   Wyn J., 2009, Youth Health and Welfare: The Cultural Politics of Education and Wellbeing
   Yap MLM, 2019, J HUM DEV CAPABIL, V20, P451, DOI 10.1080/19452829.2019.1574725
   Yokohama City, 2022, The 2nd Term Plan for Measures Against Child Poverty in Yokohama: FY2022-FY2026
NR 103
TC 0
Z9 0
U1 4
U2 4
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PD 2025 JAN 28
PY 2025
DI 10.1080/13549839.2025.2454985
EA JAN 2025
PG 18
WC Green & Sustainable Science & Technology; Environmental Studies;
   Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Geography; Public Administration; Urban Studies
GA T8R1J
UT WOS:001407601400001
OA hybrid
DA 2025-04-22
ER

PT J
AU Mallak, LA
   Yildiz, M
AF Mallak, Larry A.
   Yildiz, Mustafa
TI Developing a workplace resilience instrument
SO WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION
LA English
DT Article
DE Nursing; sense-making; hospital; bricolage; coping
ID HEALTH; SCALE
AB BACKGROUND: Resilience benefits from the use of protective factors, as opposed to risk factors, which are associated with vulnerability. Considerable research and instrument development has been conducted in clinical settings for patients.
   The need existed for an instrument to be developed in a workplace setting to measure resilience of employees.
   OBJECTIVE: This study developed and tested a resilience instrument for employees in the workplace.
   PARTICIPANTS AND METHODS: The research instrument was distributed to executives and nurses working in the United States in hospital settings. Five-hundred-forty completed and usable responses were obtained. The instrument contained an inventory of workplace resilience, a job stress questionnaire, and relevant demographics. The resilience items were written based on previous work by the lead author and inspired by Weick's [1] sense-making theory.
   RESULTS: A four-factor model yielded an instrument having psychometric properties showing good model fit. Twenty items were retained for the resulting Workplace Resilience Instrument (WRI). Parallel analysis was conducted with successive iterations of exploratory and confirmatory factor analyses. Respondents were classified based on their employment with either a rural or an urban hospital. Executives had significantly higher WRI scores than nurses, controlling for gender. WRI scores were positively and significantly correlated with years of experience and the Brief Job Stress Questionnaire.
   CONCLUSIONS: An instrument to measure individual resilience in the workplace (WRI) was developed. The WRI's four factors identify dimensions of workplace resilience for use in subsequent investigations: Active Problem-Solving, Team Efficacy, Confident Sense-Making, and Bricolage.
C1 [Mallak, Larry A.] Western Michigan Univ, Dept Ind & Entrepreneurial Engn & Engn Management, Mail Stop 5336, Kalamazoo, MI 49008 USA.
   [Yildiz, Mustafa] Western Michigan Univ, Dept Educ Leadership Res & Technol, Kalamazoo, MI 49008 USA.
C3 Western Michigan University; Western Michigan University
RP Mallak, LA (corresponding author), Western Michigan Univ, Dept Ind & Entrepreneurial Engn & Engn Management, Mail Stop 5336, Kalamazoo, MI 49008 USA.
EM larry.mallak@wmich.edu
RI Yildiz, Mustafa/KYO-7385-2024
OI Yildiz, Mustafa/0000-0002-3139-2698
FU Faculty Research and Creative Activities Award program at Western
   Michigan University, Kalamazoo, Michigan, USA
FX This work was supported by the Faculty Research and Creative Activities
   Award program at Western Michigan University, Kalamazoo, Michigan, USA.
CR Ahern NR, 2006, COMPR CHILD ADOLES N, V29, P103, DOI 10.1080/01460860600677643
   [Anonymous], 1980, DEV COGNITION AFFECT
   [Anonymous], EFF STRESS YOUR BOD
   [Anonymous], 1999, TEST THEORY
   [Anonymous], PSYCHOL BULL, DOI DOI 10.1037/0033-2909.107.2.238
   [Anonymous], HARVARD BUSINESS REV
   [Anonymous], OVERVIEW CONNOR DAVI
   Ashby MF, 2006, SCRIPTA MATER, V54, P321, DOI 10.1016/j.scriptamat.2005.09.051
   Asparouhov T., 2010, Statmodel, V29, P238
   Barnette JJ, 2000, EDUC PSYCHOL MEAS, V60, P361, DOI 10.1177/00131640021970592
   BARTONE PT, 1989, J NERV MENT DIS, V177, P317, DOI 10.1097/00005053-198906000-00001
   CARVER CS, 1989, J PERS SOC PSYCHOL, V56, P267, DOI 10.1037/0022-3514.56.2.267
   COHEN S, 1983, J HEALTH SOC BEHAV, V24, P385, DOI 10.2307/2136404
   Conner D., 1993, MANAGING SPEED CHANG
   Connor KM, 2003, DEPRESS ANXIETY, V18, P76, DOI 10.1002/da.10113
   Deevy E., 1995, CREATING RESILIENT O
   Friborg O, 2003, INT J METH PSYCH RES, V12, P65, DOI 10.1002/mpr.143
   GOLDBERG DP, 1979, PSYCHOL MED, V9, P139, DOI 10.1017/S0033291700021644
   Haase Joan E, 2004, J Pediatr Oncol Nurs, V21, P289, DOI 10.1177/1043454204267922
   HATTON E, 1989, ANTHROPOL EDUC QUART, V20, P74, DOI 10.1525/aeq.1989.20.2.05x0841i
   Hoyle R. H., 2012, Handbook of Structural Equation Modeling
   Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118
   Hunter A J, 1999, Image J Nurs Sch, V31, P243, DOI 10.1111/j.1547-5069.1999.tb00488.x
   Joreskog KG., 1993, Lisrel 8: User's reference guide
   Kawada T, 2011, WORK, V40, P393, DOI 10.3233/WOR-2011-1251
   KOBASA SC, 1979, J PERS SOC PSYCHOL, V37, P1, DOI 10.1037/0022-3514.37.1.1
   Levi-Strauss Claude., 1974, The Savage Mind
   Mallak L A, 1998, Health Manpow Manage, V24, P148, DOI 10.1108/09552069810215755
   McKnight P.E., 2007, Missing data: A gentle introduction
   McLarnon MJW, 2013, J PERS PSYCHOL, V12, P63, DOI 10.1027/1866-5888/a000084
   Merritt SM, 2012, J BUS PSYCHOL, V27, P421, DOI 10.1007/s10869-011-9252-3
   Mosley D., 2015, Supervisory management: The art of inspiring, empowering, and developing people
   Muthen L.K., 2012, MPLUS USERS GUIDE VE
   Oshio A, 2003, PSYCHOL REP, V93, P1217, DOI 10.2466/PR0.93.7.1217-1222
   Rew Lynn, 2003, J Pediatr Nurs, V18, P379, DOI 10.1016/S0882-5963(03)00162-3
   Rosch P.J., 2001, Health and Stress, V3, P1
   Roszkowski MJ, 2010, ASSESS EVAL HIGH EDU, V35, P117, DOI 10.1080/02602930802618344
   RUTTER M, 1985, BRIT J PSYCHIAT, V147, P598, DOI 10.1192/bjp.147.6.598
   Sinclair VG, 2004, ASSESSMENT, V11, P94, DOI 10.1177/1073191103258144
   Somers S., 2009, J CONTINGENCIES CRIS, V17, P12, DOI [10.1111/j.1468-5973.2009.00558.x, DOI 10.1111/J.1468-5973.2009.00558.X]
   Sood A, 2011, J GEN INTERN MED, V26, P858, DOI 10.1007/s11606-011-1640-x
   STEIGER JH, 1990, MULTIVAR BEHAV RES, V25, P173, DOI 10.1207/s15327906mbr2502_4
   TUCKER LR, 1973, PSYCHOMETRIKA, V38, P1, DOI 10.1007/bf02291170
   Tusaie Kathleen, 2004, Holist Nurs Pract, V18, P3
   Wagnild G M, 1993, J Nurs Meas, V1, P165
   WEICK KE, 1993, ADMIN SCI QUART, V38, P628, DOI 10.2307/2393339
   Werner E.E., 1990, Handbook of early childhood intervention
   WERNER EE, 1993, DEV PSYCHOPATHOL, V5, P503, DOI 10.1017/S095457940000612X
   Winwood PC, 2013, J OCCUP ENVIRON MED, V55, P1205, DOI 10.1097/JOM.0b013e3182a2a60a
NR 49
TC 31
Z9 44
U1 1
U2 43
PU IOS PRESS
PI AMSTERDAM
PA NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
SN 1051-9815
EI 1875-9270
J9 WORK
JI Work
PY 2016
VL 54
IS 2
BP 241
EP 253
DI 10.3233/WOR-162297
PG 13
WC Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA DS9RM
UT WOS:000381121000003
PM 27259179
DA 2025-04-22
ER

PT J
AU Chan, FKS
   Gu, XB
   Qi, YF
   Thadani, D
   Chen, YQD
   Lu, XH
   Li, L
   Griffiths, J
   Zhu, FF
   Li, JF
   Chen, WY
AF Chan, Faith Ka Shun
   Gu, Xinbing
   Qi, Yunfei
   Thadani, Dimple
   Chen, Yongqin David
   Lu, Xiaohui
   Li, Lei
   Griffiths, James
   Zhu, Fangfang
   Li, Jianfeng
   Chen, Wendy Y.
TI Lessons learnt from Typhoons Fitow and In-Fa: implications
   for improving urban flood resilience in Asian Coastal Cities
SO NATURAL HAZARDS
LA English
DT Article
DE Typhoon; Climate change; Resilience; Big data; Social media
ID SEA-LEVEL RISE; DELTA; CITY
AB Frequent typhoons significantly affect many coastal cities via intensive rainstorms, tidal surges and strong wind. Natural factors induced by human disturbance such as climate change and sea-level rise come alongside anthropogenic factors such as rapid urbanisation and land use/land cover change, leading to detrimental consequences such as urban floods. This short communication offers various lessons learnt by Ningbo municipality from two strong typhoons that hit the city directly, namely Fitow in 2013 and In-Fa in 2021. On the one hand, usage of "Big Data" and "Social Media" for better "Preparation" and "Prevention" reduced flood impacts noticeably. On the other hand, implementation of "Flood Insurance" sped up the "Recovery" processes. The successful "Preparation", "Response" and "Recovery" helped Ningbo to enhance its flood resilience, and thus to reduce or avoid substantial impacts of injuries, household damages and the associated economic loss. These three key terms should be heeded in typhoon/flood governance in which various stakeholders are involved, and be incorporated into the city's long-term strategic development plans to merge with the climate actions towards the 2030s and beyond. This will be vitally important in reducing climatic hazards and improving coastal flood resilience under the future climatic uncertainties in Asian coastal cities.
C1 [Chan, Faith Ka Shun; Qi, Yunfei; Li, Lei] Univ Nottingham Ningbo China, Fac Sci & Engn, Sch Geog Sci, Ningbo 315100, Peoples R China.
   [Chan, Faith Ka Shun] Univ Leeds, Water Leeds Res Inst, Leeds LS2 9JT, W Yorkshire, England.
   [Gu, Xinbing; Thadani, Dimple; Lu, Xiaohui] Univ Nottingham Ningbo China, Nottingham Univ Business Sch China, Ningbo 315100, Peoples R China.
   [Qi, Yunfei] Guizhou Water & Power Survey Design Inst, Guiyang 550002, Peoples R China.
   [Chen, Yongqin David] Chinese Univ Hong Kong, Sch Humanities & Social Sci, Shenzhen, Peoples R China.
   [Chen, Yongqin David] Chinese Univ Hong Kong, Dept Geog Resource Management, Hong Kong, Peoples R China.
   [Lu, Xiaohui] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Fujian, Peoples R China.
   [Griffiths, James] Natl Inst Water & Atmosphere, Christchurch, New Zealand.
   [Zhu, Fangfang] Univ Nottingham Ningbo China, Fac Sci & Engn, Dept Civil Engn, Ningbo, Peoples R China.
   [Li, Jianfeng] Hong Kong Baptist Univ, Fac Social Sci, Dept Geog, Hong Kong, Peoples R China.
   [Chen, Wendy Y.] Univ Hong Kong, Dept Geog, Pokfulam Rd, Hong Kong, Peoples R China.
C3 University of Nottingham Ningbo China; University of Leeds; University
   of Nottingham Ningbo China; The Chinese University of Hong Kong,
   Shenzhen; Chinese University of Hong Kong; Chinese Academy of Sciences;
   Institute of Urban Environment, CAS; National Institute of Water &
   Atmospheric Research (NIWA) - New Zealand; University of Nottingham
   Ningbo China; Hong Kong Baptist University; University of Hong Kong
RP Chan, FKS (corresponding author), Univ Nottingham Ningbo China, Fac Sci & Engn, Sch Geog Sci, Ningbo 315100, Peoples R China.; Chan, FKS (corresponding author), Univ Leeds, Water Leeds Res Inst, Leeds LS2 9JT, W Yorkshire, England.
EM faith.chan@nottingham.edu.cn; Xinbing.Gu@nottingham.edu.cn;
   Yunfei.Qi@nottingham.edu.cn; James.Griffiths@niwa.co.nz; wychen@hku.hk
RI griffiths, james/L-1926-2019; Jianfeng, Li/AFD-9378-2022; Chen,
   WY/HKN-5931-2023; Chen, Yan/D-4884-2009; Gu, Xinbing/ABZ-9740-2022;
   Chan, Faith Ka Shun/H-1541-2017
OI Li, Jianfeng/0000-0002-9288-3415; Li, Lei/0000-0002-8743-9993;
   Griffiths, James Andrew/0000-0002-6769-8998; Gu,
   Xinbing/0000-0002-1570-0646; CHEN, Yongqin David/0000-0001-8891-2116;
   Chan, Faith Ka Shun/0000-0001-6091-6596; Qi, Yunfei/0000-0003-4505-1314;
   Thadani, Dimple R./0000-0002-5195-2541; zhu,
   fangfang/0000-0002-1482-6511
FU National Key R&D Program of China [2019YFC1510400]; National Science
   Foundation Program of China [NSFC41850410497]; Institute of Asia Pacific
   Studies (IAPS) research funds; postgraduate research fund at University
   Nottingham Ningbo China; Guizhou Science and Technology Planning of
   Project [2019 2879]
FX This study was funded by the National Key R&D Program of China (Grant
   Number: 2019YFC1510400) and the National Science Foundation Program of
   China (Grant Number: NSFC41850410497); the Institute of Asia Pacific
   Studies (IAPS) research funds and the postgraduate research fund at
   University Nottingham Ningbo China; Guizhou Science and Technology
   Planning of Project (Grant number: 2019 2879).
CR [Anonymous], 2021, TENCENT NEWS
   [Anonymous], 2021, SINA NEWS
   BendiBao, 2021, WAT LEV REAL TIM IN
   Chan FKS, 2021, ENVIRON SCI POLICY, V122, P101, DOI 10.1016/j.envsci.2021.04.009
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Chan HK, 2019, TRANSPORT RES E-LOG, V132, P51, DOI 10.1016/j.tre.2019.10.009
   Chen JL, 2021, LOCAL OFFICIALS PERS
   Chen LT, 2021, INSURANCE IND NINGBO
   Church JA, 2011, SURV GEOPHYS, V32, P585, DOI 10.1007/s10712-011-9119-1
   Griffiths J, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0222
   Griffiths JA, 2019, GEOSCI FRONT, V10, P363, DOI 10.1016/j.gsf.2018.02.012
   Griffiths JA, 2017, J ENVIRON MANAGE, V196, P80, DOI 10.1016/j.jenvman.2017.02.079
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hu LY, 2021, TYPHOON 144 HOURS NI
   Li, TYPHOON IN FA LANDS
   Li ZH, 2021, FIGHTING IN FA INSUR
   Ma ZH, 2021, TYPHOON WEAKENS 2 LA
   Nerem RS, 2018, P NATL ACAD SCI USA, V115, P2022, DOI 10.1073/pnas.1717312115
   Ningbo Minsheng e-point, 2021, NINGB RES FLOOD AR A
   PHYS, 2021, TYPH IN FA DRENCH E
   Qi YF, 2020, WATER-SUI, V12, DOI 10.3390/w12102788
   Sophie Y, 2021, SHANGHAI REGION BRAC
   Tang YT, 2018, J FLOOD RISK MANAG, V11, DOI 10.1111/jfr3.12451
   Tang YT, 2015, CITIES, V42, P97, DOI 10.1016/j.cities.2014.10.001
   Thadani D., 2021, SW CHINA FRONT WATER, DOI [10.3389/frwa.2021.676965, DOI 10.3389/FRWA.2021.676965]
   Tieshou, 2021, DONGQ TOWN WAS TOT S
   Verheggen B, 2014, ENVIRON SCI TECHNOL, V48, P8963, DOI 10.1021/es501998e
   Wang X., 2018, FLOODING HAZARDS RIS, P185
   Weather Underground, 2021, TYPH IN FA
   Wen J, 2021, MORE RAIN CAUSED EC
   Woo WC, 2010, SEA LEVEL CHANGE OBS
   Zhou, 2021, SHANGHAI BRACES TYPH
NR 32
TC 13
Z9 13
U1 6
U2 69
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD FEB
PY 2022
VL 110
IS 3
BP 2397
EP 2404
DI 10.1007/s11069-021-05030-y
EA SEP 2021
PG 8
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA ZE7JX
UT WOS:000698070100002
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Zhang, WX
   Han, Q
   Wen, JN
   Xu, CS
AF Zhang, Wangxin
   Han, Qiang
   Wen, Jianian
   Xu, Chengshun
TI Emergency Resilience-Driven Retrofit Strategies for Urban Interdependent
   Infrastructure Systems under Seismic Hazard
SO JOURNAL OF INFRASTRUCTURE SYSTEMS
LA English
DT Article
DE Resilience; Infrastructure networks; Seismic hazard; Retrofit
   strategies; Multiobjective optimization model
ID RISK MITIGATION; NETWORK; MODEL; COMMUNITY; BRIDGES
AB Interdependent infrastructure systems play a critical role in the normal operation and postdisaster emergency response in modern cities. However, they are vulnerable to earthquakes throughout their service life, resulting in substantial economic losses and public safety concerns. The threat posed by earthquakes underscores the necessity of implementing risk mitigation strategies. In this paper, an emergency resilience-driven decision model is proposed to address the optimization problem of seismic retrofitting of infrastructure systems. Two types of interdependencies are introduced to reflect the interaction within the infrastructure systems. Then, a resilience metric based on weighted emergency connectivity efficiency is defined to evaluate the ability of a community to provide emergency services under earthquake risks. In addition, a mathematical model and its solution algorithm are developed to maximize emergency resilience benefits while minimizing retrofitting costs, considering resource and probabilistic performance constraints during the emergency response phase. To demonstrate the applicability of the decision model, a case study is conducted on the Centerville community under seismic hazard. The results demonstrate the effectiveness of the decision model in evaluating community emergency resilience and identifying retrofit strategies that align with both resilience benefits and cost optimization criteria. Additionally, the sensitivity analysis results indicate that the intensity of interdependency may significantly affect the optimal seismic retrofit strategies and associated resilience benefits.
C1 [Zhang, Wangxin; Han, Qiang; Wen, Jianian; Xu, Chengshun] Beijing Univ Technol, State Key Lab Bridge Engn Safety & Resilience, Beijing 100124, Peoples R China.
C3 Beijing University of Technology
RP Wen, JN (corresponding author), Beijing Univ Technol, State Key Lab Bridge Engn Safety & Resilience, Beijing 100124, Peoples R China.
EM WXZhang@emails.bjut.edu.cn; qhan@bjut.edu.cn; wenjianian1990@163.com;
   xuchengshun@bjut.edu.cn
OI qiushen, xu/0009-0008-6951-4225
FU National Key Research and Development Program of China [2022YFB2602500,
   2022YFC3003603]; National Natural Science Foundation of China (NSFC)
   [52338010, 52108430]
FX The authors would like to acknowledge the support from the National Key
   Research and Development Program of China (Nos. 2022YFB2602500 and
   2022YFC3003603), and the National Natural Science Foundation of China
   (NSFC) (Nos. 52338010 and 52108430) for carrying out this research.
CR Alipour A, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001399
   Amador L, 2020, STRUCT INFRASTRUCT E, V16, P847, DOI 10.1080/15732479.2019.1671466
   Anbazhagan P, 2012, NAT HAZARDS, V60, P425, DOI 10.1007/s11069-011-0025-0
   [Anonymous], 2020, Hazus Earthquake Model Technical Manual Hazus 4.2 SP3
   Cardoni A, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101315
   Ceferino L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18072-w
   Chen MDE, 2022, EARTHQ ENG STRUCT D, V51, P3097, DOI 10.1002/eqe.3715
   Chiu YY, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12198262
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Dong Y, 2015, EARTHQ SPECTRA, V31, P2255, DOI 10.1193/012214EQS015M
   Dong Y, 2014, J BRIDGE ENG, V19, DOI 10.1061/(ASCE)BE.1943-5592.0000586
   Eidinger J., 2009, TCLEE 2009 LIFELINE, P1359, DOI DOI 10.1061/41050(357)128
   El-Maissi AM, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104363
   Ellingwood BR, 2016, SUSTAIN RESIL INFRAS, V1, P95, DOI 10.1080/23789689.2016.1255000
   Esposito S, 2013, B EARTHQ ENG, V11, P2447, DOI 10.1007/s10518-013-9478-8
   Fotouhi H, 2017, RELIAB ENG SYST SAFE, V163, P79, DOI 10.1016/j.ress.2017.01.026
   Guo AX, 2017, STRUCT INFRASTRUCT E, V13, P1523, DOI 10.1080/15732479.2017.1299770
   Han Q, 2009, EARTHQ ENG ENG VIB, V8, P263, DOI 10.1007/s11803-009-8162-0
   Ishibashi H, 2021, STRUCT INFRASTRUCT E, V17, P494, DOI 10.1080/15732479.2020.1843503
   Kilanitis I, 2019, B EARTHQ ENG, V17, P181, DOI 10.1007/s10518-018-0457-y
   Li CQ, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102395
   Li ZL, 2019, RELIAB ENG SYST SAFE, V188, P503, DOI 10.1016/j.ress.2019.03.052
   Liu C, 2022, EARTHQ ENG STRUCT D, V51, P2771, DOI 10.1002/eqe.3701
   Liu C, 2021, COMPUT-AIDED CIV INF, V36, P996, DOI 10.1111/mice.12647
   Liu Y, 2021, STRUCT INFRASTRUCT E, V17, P217, DOI 10.1080/15732479.2020.1734030
   Lu Y, 2015, NAT HAZARDS REV, V16, DOI 10.1061/(ASCE)NH.1527-6996.0000172
   Ma SS, 2018, IEEE T SMART GRID, V9, P1442, DOI 10.1109/TSG.2016.2591885
   Min O, 2019, RELIAB ENG SYST SAFE, V190, DOI 10.1016/j.ress.2019.106506
   Nicholson CD, 2016, RELIAB ENG SYST SAFE, V145, P62, DOI 10.1016/j.ress.2015.08.014
   Nielson B. G., 2005, Analytical fragility curves for highway bridges in moderate seismic zones
   Nielson BG, 2007, EARTHQ SPECTRA, V23, P615, DOI 10.1193/1.2756815
   Ouyang M, 2011, RELIAB ENG SYST SAFE, V96, P1462, DOI 10.1016/j.ress.2011.06.002
   Padgett JE, 2010, STRUCT SAF, V32, P165, DOI 10.1016/j.strusafe.2009.10.003
   Rokneddin K, 2013, STRUCT INFRASTRUCT E, V9, P1050, DOI 10.1080/15732479.2011.654230
   Romero N, 2015, EARTHQ SPECTRA, V31, P1157, DOI 10.1193/052112EQS193M
   Salman AM, 2018, STRUCT INFRASTRUCT E, V14, P1499, DOI 10.1080/15732479.2018.1459741
   Sanderson D, 2022, J INFRASTRUCT SYST, V28, DOI 10.1061/(ASCE)IS.1943-555X.0000694
   Scherb A, 2017, ASCE-ASME J RISK U B, V3, DOI 10.1115/1.4036091
   Sun JR, 2023, J INFRASTRUCT SYST, V29, DOI 10.1061/JITSE4.ISENG-2083
   Sun WJ, 2021, STRUCT INFRASTRUCT E, V17, P555, DOI 10.1080/15732479.2020.1843504
   Toro G.R., 1997, Seismological Research Let, V68, P41, DOI [10.1785/gssrl.68.1.41, DOI 10.1785/GSSRL.68.1.41]
   Wang M, 2005, EARTHQ SPECTRA, V21, P1137, DOI 10.1193/1.2083887
   Wu YY, 2021, RELIAB ENG SYST SAFE, V211, DOI 10.1016/j.ress.2021.107612
   Xiao YH, 2022, RELIAB ENG SYST SAFE, V218, DOI 10.1016/j.ress.2021.108164
   Xu M, 2019, COMPUT-AIDED CIV INF, V34, P506, DOI 10.1111/mice.12435
   Zhang WX, 2024, STRUCT INFRASTRUCT E, DOI 10.1080/15732479.2024.2347496
   Zhang WX, 2024, TRANSPORT RES A-POL, V183, DOI 10.1016/j.tra.2024.104078
   Zhang WX, 2025, STRUCT INFRASTRUCT E, V21, P341, DOI 10.1080/15732479.2023.2218838
   Zhang WL, 2016, SUSTAIN RESIL INFRAS, V1, P123, DOI 10.1080/23789689.2016.1254995
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhang ZY, 2023, STRUCT INFRASTRUCT E, V19, P589, DOI 10.1080/15732479.2021.1961826
   Zhao TY, 2023, RELIAB ENG SYST SAFE, V231, DOI 10.1016/j.ress.2022.109029
   Zhao TY, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102246
   Zhao XD, 2016, STRUCT INFRASTRUCT E, V12, P1634, DOI 10.1080/15732479.2016.1157609
   Zou QL, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000524
   Zou QL, 2019, RELIAB ENG SYST SAFE, V191, DOI 10.1016/j.ress.2019.106557
NR 57
TC 2
Z9 2
U1 30
U2 30
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1076-0342
EI 1943-555X
J9 J INFRASTRUCT SYST
JI J. Infrastruct. Syst.
PD DEC 1
PY 2024
VL 30
IS 4
AR 04024023
DI 10.1061/JITSE4.ISENG-2430
PG 14
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA I6S4W
UT WOS:001331537300002
DA 2025-04-22
ER

PT J
AU Birchall, SJ
   MacDonald, S
   Baran, NN
AF Birchall, S. Jeff
   MacDonald, Seghan
   Baran, Nicklas N.
TI An assessment of systems, agents, and institutions in building community
   resilience to climate change: A case study of Charlottetown, Canada
SO URBAN CLIMATE
LA English
DT Article
DE Coastal communities; Strategic planning; Local government; Urban
   resilience; Climate change adaptation; Urban planning
ID CHANGE ADAPTATION; LOCAL CLIMATE; FRAMEWORK; STRATEGIES; GOVERNMENT;
   BARRIERS; LESSONS; INTEGRATION; PLANS; RISK
AB While climate change manifests itself as a global phenomenon, impacts are experienced most acutely at the local scale. As a result, the onus of responding to climate change impacts through planning policies and practice falls on local government decision-makers. This qualitative study, based in Charlottetown, Canada, utilizes the framework of resilience theory to examine the relationship between systems, agents, and institutions in addressing climate vulnerability to build community resilience. Findings suggest that while non-municipal agents such as senior orders of government and external organizations are championing proactive adaptation through climate impact research and adaptation initiatives, the municipality has taken a non-urgent, reactionary approach in the face of climate stressors, often implementing initiatives that further exacerbate climate vulnerability. In the face of system vulnerabilities and cascading failures, deep institutional barriers, influencing and influenced by agents, contribute to the low prioritization of climate adaptation action. Institutional and agent-induced constraints at the municipal scale have led to the lack of internal initiative to act within the municipality, undermining the efforts of external organizations and senior orders of government. This study highlights the importance of robust local government agents and institutions as a prerequisite to enable local-scale climate adaptation.
C1 [Birchall, S. Jeff; MacDonald, Seghan; Baran, Nicklas N.] Univ Alberta, Dept Earth & Atmospher Sci, Sch Urban & Reg Planning, 1-26 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada.
C3 University of Alberta
RP Birchall, SJ (corresponding author), Univ Alberta, Dept Earth & Atmospher Sci, Sch Urban & Reg Planning, 1-26 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada.
EM jeff.birchall@ualberta.ca
RI Birchall, S Jeff/HOF-3329-2023
FU Cornerstone Program, Killam Research Fund.
FX Acknowledgements This research was supported through the Cornerstone
   Program, Killam Research Fund.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   [Anonymous], 2008, Public Accounts of the Province of Prince Edward Island, 2006-2007, V2
   Antonakis V., 2019, CLIMATE ACTION ENCY, DOI [10.1007/978-3-319-71063-1_82-1, DOI 10.1007/978-3-319-71063-1_82-1]
   Arnold S., 2017, PRINCE EDWARD ISLAND, P172
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Berke P, 2013, CITYSCAPE, V15, P181
   Berke PR, 2016, J PLAN EDUC RES, V36, P283, DOI 10.1177/0739456X16660714
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Birchall SJ, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100859
   Birchall SJ, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.103001
   Birchall SJ, 2020, ENVIRON HAZARDS-UK, V19, P152, DOI 10.1080/17477891.2019.1637331
   Birchall SJ, 2019, J ENVIRON PLANN MAN, V62, P2238, DOI 10.1080/09640568.2018.1537975
   Boda CS, 2019, CLIMATIC CHANGE, V157, P631, DOI 10.1007/s10584-019-02611-6
   Bonnett N, 2020, MAR POLICY, V121, DOI 10.1016/j.marpol.2020.104175
   Brower RS, 2000, ADMIN SOC, V32, P363, DOI 10.1177/00953990022019470
   Campbell JL, 1998, THEOR SOC, V27, P377, DOI 10.1023/A:1006871114987
   City of Charlottetown, 2012, COMPR WAT MAST PLAN
   City of Charlottetown, 2017, INT COMM SUST PLAN
   City of Charlottetown, 2019, FUT LAND US MAP
   City of Charlottetown, 2006, ZON DEV BY LAW
   City of Charlottetown, 2018, HER PRES BYL
   Clar C, 2019, NAT RESOUR FORUM, V43, P121, DOI 10.1111/1477-8947.12168
   Crouch M, 2006, SOC SCI INFORM, V45, P483, DOI 10.1177/0539018406069584
   Dale A, 2020, CLIM POLICY, V20, P866, DOI 10.1080/14693062.2019.1651244
   Davies M.H., 2016, CHARLOTTETOWN WATERF
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Department of Environment Water and Climate Change (DEWCC), 2015, ISL CLIM WEATH
   Di Giulio GM, 2018, CITIES, V72, P237, DOI 10.1016/j.cities.2017.09.001
   Ekstrom JA, 2014, URBAN CLIM, V9, P54, DOI 10.1016/j.uclim.2014.06.002
   Engward H, 2015, J ADV NURS, V71, P1530, DOI 10.1111/jan.12653
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Forino G, 2017, INT J DISAST RISK RE, V24, P100, DOI 10.1016/j.ijdrr.2017.05.021
   Fünfgeld H, 2012, PLAN THEORY PRACT, V13, P324
   Government of Canada, 2021, AD IMP CLIM CHANG CA
   Government of Canada, 2016, CENS PROF 2016 CENS
   Government of PEI, 2016, PRINCE EDWARD ISLAND
   Government of PEI, 2018, TAKING ACTION CLIMAT
   Grafakos S, 2019, CLIMATIC CHANGE, V154, P87, DOI 10.1007/s10584-019-02394-w
   Harris M, 2015, CITY CHARLOTTETOWN B
   Hölscher K, 2019, J ENVIRON MANAGE, V231, P843, DOI 10.1016/j.jenvman.2018.10.043
   Kehler S, 2021, ENVIRON SCI POLICY, V124, P471, DOI 10.1016/j.envsci.2021.07.025
   Lee T, 2020, CLIM POLICY, V20, P341, DOI 10.1080/14693062.2020.1730152
   Lyles W, 2018, J ENVIRON PLANN MAN, V61, P1994, DOI 10.1080/09640568.2017.1379958
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Merriam S., 2016, Qualitative Research: A Guide to Design and Implementation, DOI 10.1177/0741713616671930
   Moench M, 2014, DEV PRACT, V24, P447, DOI 10.1080/09614524.2014.909385
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Noor K.B., 2008, American Journal of Applied Sciences, V5, P1602, DOI DOI 10.3844/AJASSP.2008.1602.1604
   Oberlack C, 2017, MITIG ADAPT STRAT GL, V22, P805, DOI 10.1007/s11027-015-9699-z
   Oulahen G, 2018, PLAN THEORY PRACT, V19, P405, DOI 10.1080/14649357.2018.1481993
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Prairie Climate Centre, 2021, CANADA CHANGING CLIM
   Prasad RS, 2019, CLIM POLICY, V19, P354, DOI 10.1080/14693062.2018.1515061
   Richards W., 2011, Scenarios and Guidance for Adaptation to Climate Change and Sea Level Rise - NS and PEI Municipalities
   Schrock G, 2015, J PLAN EDUC RES, V35, P282, DOI 10.1177/0739456X15580022
   Siders AR, 2017, REG ENVIRON CHANGE, V17, P1801, DOI 10.1007/s10113-017-1153-1
   Stevens MR, 2017, LAND USE POLICY, V68, P1, DOI 10.1016/j.landusepol.2017.07.026
   Tanner T, 2019, DISASTERS, V43, pS388, DOI 10.1111/disa.12338
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Vogel B, 2020, ENVIRON DEV SUSTAIN, V22, P1633, DOI 10.1007/s10668-018-0242-8
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Wallace B, 2017, ENVIRON HAZARDS-UK, V16, P149, DOI 10.1080/17477891.2017.1298511
   Welsh Moira., 2019, The Star
   Wolf J, 2011, ADV GLOB CHANGE RES, V42, P21, DOI 10.1007/978-94-007-0567-8_2
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
   Yin RobertK., 2009, Case Study Research: Design and Methods, V4th ed.
   Zen IS, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100501
NR 72
TC 19
Z9 19
U1 3
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JAN
PY 2022
VL 41
AR 101062
DI 10.1016/j.uclim.2021.101062
EA JAN 2022
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 0N8LE
UT WOS:000783082500002
DA 2025-04-22
ER

PT J
AU Gandy, M
AF Gandy, Matthew
TI Zoonotic urbanisation: multispecies urbanism and the rescaling of urban
   epidemiology
SO URBAN STUDIES
LA English
DT Article
DE accelerator landscapes; ecological decay; multispecies urbanism; urban
   epidemiology; urban political ecology; zoonotic urbanisation
ID DISEASE; MOSQUITOS; COVID-19; DENGUE; CHINA; CITY
AB A focus on zoonotic urbanisation challenges existing conceptions of global urbanism. In this article I consider how a modified urban political ecology framework might help to illuminate emerging landscapes of epidemiological risk. I show how a multi-scalar perspective on urban epidemiology, including the impact of colonialism, global capitalism, and changing relations with non-human others, unsettles existing analytical approaches. I contrast resilience-oriented public health paradigms, focused on the malleability of nature, with a historically grounded set of insights into global environmental change. I suggest that the conceptual field of zoonotic urbanisation provides an analytical entry point for understanding an emergent 'triple crisis' spanning climate change, biodiversity loss, and global health threats.
C1 [Gandy, Matthew] Univ Cambridge, Cambridge, England.
   [Gandy, Matthew] Univ Cambridge, Dept Geog, Downing Pl, Cambridge CB2 1TN, England.
C3 University of Cambridge; University of Cambridge
RP Gandy, M (corresponding author), Univ Cambridge, Dept Geog, Downing Pl, Cambridge CB2 1TN, England.
EM mg107@cam.ac.uk
FU ERC Advanced Grant under the FP7 of the European Commission
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: ERC
   Advanced Grant under the FP7 of the European Commission.
CR Acevedo-Guerrero T, 2022, ENVIRON PLAN E-NAT, DOI 10.1177/25148486221099801
   Acuto M, 2020, NAT SUSTAIN, V3, P977, DOI 10.1038/s41893-020-00620-3
   Ahmed S, 2019, ENVIRON URBAN, V31, P443, DOI 10.1177/0956247819866124
   Alaimo Stacy., 2010, Bodily Natures: Science, Environment, and the Material Self
   Ali S.H., 2022, PANDEMIC URBANISM IN
   Alim AN., 2022, CHINA CDC WEEKLY
   Alirol E, 2011, LANCET INFECT DIS, V11, P131, DOI 10.1016/S1473-3099(10)70223-1
   Allen T, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00923-8
   Anderson W, 2004, OSIRIS, V19, P39, DOI 10.1086/649393
   Apostolopoulou E., 2021, CITY, V25, P764, DOI DOI 10.1080/13604813.2021.1989157
   Arias-maldonadoM M, 2023, ENVIRON VALUE, V32, P45, DOI 10.3197/096327122X16452897197793
   Avlijas S., 2021, CRIT PERSPECT, P227
   Barua M, 2023, ANN AM ASSOC GEOGR, V113, P13, DOI 10.1080/24694452.2022.2094326
   Becken S, 2022, J SUSTAIN TOUR, V30, P108, DOI 10.1080/09669582.2021.1894160
   Beisel U, 2013, SCI CULT-UK, V22, P38, DOI 10.1080/09505431.2013.776364
   Bennhold K., 2022, New York Times
   Bhan G., 2020, The pandemic, southern urbanisms and collective life.
   Bitencourt MM, 2022, MAMMALIA, V86, P105, DOI 10.1515/mammalia-2021-0134
   Blanchette A., 2020, PORKOPOLIS AM ANIMAL
   Bolotnikova M., 2022, GUARDIAN
   Borre F, 2022, EPIDEMIOLOGIA-BASEL, V3, P97, DOI 10.3390/epidemiologia3010009
   Bouri N, 2012, PUBLIC HEALTH REP, V127, P259, DOI 10.1177/003335491212700305
   Brantz D., 2008, Meat, Modernity and the Rise of the Slaughterhouse, P71
   Brennan Teresa, 2004, The Transmission of Affect
   Brenner N, 2022, ENVIRON PLANN A, V54, P867, DOI 10.1177/0308518X221084313
   Brenner N, 2013, PUBLIC CULTURE, V25, P85, DOI 10.1215/08992363-1890477
   Brown H, 2014, MED ANTHROPOL Q, V28, P280, DOI 10.1111/maq.12092
   Butterworth MK, 2022, GEOJOURNAL, V87, P1335, DOI 10.1007/s10708-020-10309-x
   Byrne K, 1999, HEREDITY, V82, P7, DOI 10.1038/sj.hdy.6884120
   Chandler JC, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2114828118
   Chibber Vivek., 2014, POSTCOLONIAL THEORY
   Chiew F, 2014, THEOR CULT SOC, V31, P51, DOI 10.1177/0263276413508449
   Chirisa I, 2022, GEOJOURNAL, V87, P815, DOI 10.1007/s10708-020-10281-6
   Collins B., 2022, PHYS REV LETT
   Connolly C, 2021, URBAN STUD, V58, P245, DOI 10.1177/0042098020910873
   Dambach P, 2020, BIOL CONTROL, V150, DOI 10.1016/j.biocontrol.2020.104357
   Davis Mike., 2005, The Monster at our Door: The Global threat of Avian Flu
   Dinan TG, 2013, BIOL PSYCHIAT, V74, P720, DOI 10.1016/j.biopsych.2013.05.001
   Dzingirai V, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0169
   Fabiani S, 2015, J NEUROL SCI, V351, P3, DOI 10.1016/j.jns.2015.02.028
   Fearnley L., 2022, GEOJOURNAL, V8, P121, DOI DOI 10.22459/IREH.08.01.2022.08
   Fearnley L., 2020, Virulent Zones: Animal Disease and Global Health at China's Pandemic Epicenter
   Fenollar F, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.663815
   Food and Agriculture Organization of the United Nations, 2022, Gateway to poultry production and products
   Freer J, 2022, BMJ-BRIT MED J, V376, DOI 10.1136/bmj-2021-069807
   Freshour C, 2020, MON REV, V72, P32, DOI 10.14452/MR-072-03-2020-07_4
   Fyie LR, 2021, J INSECT PHYSIOL, V129, DOI 10.1016/j.jinsphys.2021.104194
   Gandy M, 2022, INT J URBAN REGIONAL, V46, P202, DOI 10.1111/1468-2427.13080
   Gandy M, 2022, PROG HUM GEOG, V46, P21, DOI 10.1177/03091325211040553
   Gandy Matthew., 2022, Natura Urbana: Ecological Constellations in Urban Space
   Gandy Matthew., 2006, HIST GEOGRAPHY, V34, P14
   Gilbert M, 2017, ARCH PUBLIC HEALTH, V75, DOI 10.1186/s13690-017-0218-4
   Goldstein JE, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac74d4
   Haddad NM, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500052
   Hadfield J, 2019, PLOS PATHOG, V15, DOI 10.1371/journal.ppat.1008042
   Hekman L., 2021, GUARDIAN
   Hirschfeld K, 2020, ANTHROPOCENE REV, V7, P3, DOI 10.1177/2053019619882781
   Hoover Fushcia-Ann, 2021, Socioecol Pract Res, V3, P55, DOI 10.1007/s42532-020-00070-3
   Horn E., 2021, Pandemics, politics, and society, P123, DOI [10.1515/9783110713350-009, DOI 10.1515/9783110713350-009]
   Hossain MS, 2022, PLOS NEGLECT TROP D, V16, DOI 10.1371/journal.pntd.0010130
   Hubbard P, 2021, PROG HUM GEOG, V45, P1490, DOI 10.1177/0309132520986221
   Jones BA, 2013, P NATL ACAD SCI USA, V110, P8399, DOI 10.1073/pnas.1208059110
   Kaup BZ, 2021, ANTIPODE, V53, P567, DOI 10.1111/anti.12694
   Keck F, 2019, CURR ANTHROPOL, V60, pS251, DOI 10.1086/702857
   Keck Frederic., 2020, Avian Reservoirs: Virus Hunters and Birdwatchers in Chinese Sentinel Posts, DOI [10.1215/9781478007555, DOI 10.1215/9781478007555]
   Keil R, 2007, ANTIPODE, V39, P846, DOI 10.1111/j.1467-8330.2007.00555.x
   Kernbach ME, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.1051
   Kirksey Eben, 2020, Anthropology Now, V12, P11, DOI [10.1080/19428200.2020.1760631, DOI 10.1080/19428200.2020.1760631]
   Lakoff Andrew., 2017, UNPREPARED GLOBAL HL
   Lander B, 2020, J ASIAN STUD, V79, P865, DOI 10.1017/S0021911820000054
   Latour B, 2021, CRIT INQUIRY, V47, pS25, DOI 10.1086/711428
   Lowe C, 2010, CULT ANTHROPOL, V25, P625, DOI 10.1111/j.1548-1360.2010.01072.x
   Lynteris C, 2020, ROUTL STUD ANTHROPOL, P1
   Madden D., 2020, CITY, V24, P677
   Marris Emma., 2011, Rambunctious Garden: Saving Nature in a Post-Wild World, V1st
   McFarlane C, 2023, URBAN STUD, V60, P1548, DOI 10.1177/00420980211014810
   McMorrow R., 2022, SCI ROBOT
   Mezzadra S, 2019, POLITICS OF OPERATIONS, P1
   Miller Joe, 2021, Financial Times
   Morris AL, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1600387
   Nading A.M., 2014, MOSQUITO TRAILS ECOL
   OECD, 2020, TERR IMP COVID 19 MA
   Ooi EE, 2009, CAD SAUDE PUBLICA, V25, pS115, DOI 10.1590/S0102-311X2009001300011
   Osoria JA, 2021, STATE CRIME, V10, P104, DOI 10.13169/statecrime.10.1.0104
   Osterhammel Jurgen., 2009, Die Verwandlung der Welt: Eine Geschichte des 19. Jahrhunderts
   Otter Chris., 2020, Diet for a Large Planet: Industrial Britain, Food Systems and World Ecology
   Paiva MHS, 2019, INSECT SCI, V26, P873, DOI 10.1111/1744-7917.12578
   Palmer Clare., 2010, Animal Ethics in Context
   Patchin PM, 2020, ANN AM ASSOC GEOGR, V110, P967, DOI 10.1080/24694452.2019.1655386
   Philo C, 1995, ENVIRON PLANN D, V13, P655, DOI 10.1068/d130655
   Pulliam JRC, 2012, J R SOC INTERFACE, V9, P89, DOI 10.1098/rsif.2011.0223
   Reckwitz, 2021, PANDEMIE STAAT GESPR
   Rehman N, 2022, ANTIPODE, V54, P1451, DOI 10.1111/anti.12826
   Reis-Castro L, 2021, ENVIRON HUMANITIES, V13, P323, DOI 10.1215/22011919-9320178
   Ren XF, 2020, EURASIAN GEOGR ECON, V61, P423, DOI 10.1080/15387216.2020.1762103
   Ruszczyk HA, 2022, GEOFORUM, V131, P105, DOI 10.1016/j.geoforum.2022.03.003
   Silbergeld EllenK., 2016, Chickenizing Farms and Food: How Industrial Meat Production Endangers Workers, Animals, and Consumers
   Stein RA, 2021, INT J CLIN PRACT, V75, DOI 10.1111/ijcp.13778
   Stoddard EA, 2019, GEOFORUM, V100, P153, DOI 10.1016/j.geoforum.2019.01.002
   Transparency International UK , 2021, Track and Trace: Identifying Corruption Risks in UK Public Procurement for the Covid-19 Pandemic
   Treffers S, 2022, ENVIRON PLAN E-NAT, V5, P2011, DOI 10.1177/25148486211054932
   Van Loon Joost., 2005, CRIT PUBLIC HEALTH, V15, P39, DOI DOI 10.1080/09581590500048374
   Vidal J., 2021, GUARDIAN
   Wakefield S, 2022, CULT GEOGR, V29, P389, DOI 10.1177/14744740211029278
   Wallace R, 2020, MON REV, V72, P1
   Wallace RG, 2016, INT J HEALTH SERV, V46, P149, DOI 10.1177/0020731415611644
   Webster JP, 2006, P ROY SOC B-BIOL SCI, V273, P1023, DOI 10.1098/rspb.2005.3413
   WHO, 2022, DENG SEV DENG
   Wolch J, 2002, PROG HUM GEOG, V26, P721, DOI 10.1191/0309132502ph400oa
   Wolf M, 2016, INT J URBAN REGIONAL, V40, P958, DOI 10.1111/1468-2427.12381
   Wolford W, 2021, ANN AM ASSOC GEOGR, V111, P1622, DOI 10.1080/24694452.2020.1850231
   Yeoman B., 2019, GUARDIAN
   Zhang Li., 2021, The origins of COVID-19: China and global capitalism
NR 113
TC 9
Z9 9
U1 7
U2 35
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0042-0980
EI 1360-063X
J9 URBAN STUD
JI Urban Stud.
PD OCT
PY 2023
VL 60
IS 13
BP 2529
EP 2549
DI 10.1177/00420980231154802
EA FEB 2023
PG 21
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA T3ZW2
UT WOS:000936262300001
OA Green Submitted, hybrid
DA 2025-04-22
ER

PT J
AU Rusciano, V
   Gatto, A
AF Rusciano, Vincenzo
   Gatto, Andrea
TI Effects of the COVID-19 Outbreak on the Use and Perceptions of
   Metropolitan Agricultural Parks-Evidence from Milan and Naples of Urban
   and Environmental Resilience
SO SUSTAINABILITY
LA English
DT Article
DE Milan; Naples; COVID-19; metropolitan agricultural parks; MAP;
   governance; urban regeneration; qualitative methods; primary data;
   secondary data
ID GREEN SPACES; ECOSYSTEM SERVICES; PUBLIC-HEALTH; GARDENS
AB This article describes the multi-function of the metropolitan agricultural parks (MAPs) in Milan (Parco Agricolo Sud Milano) and Naples (Parco De Filippo) and their resilience within the last COVID-19 lockdown period. These parks play an important role in the urban regeneration and social inclusion processes in their relative metropolitan areas. Nevertheless, the restrictions imposed to limit COVID-19 contagions have imposed their closure or severely limited their activities, with evident consequences for the local population's well-being. This study's novelty is twofold: it is the first study examining the resilience and sustainability impact of MAPs during COVID-19; additionally, it is the first survey making use of Milan and Naples practices. The work uses primary and secondary data and mixed methods. Exploiting a document analysis and the elaboration of a semi-structured interview with the directors, the article lists the multiple functions of the parks and underlines their multidimensional governance vocations for fostering sustainable development-environmental, economic and social functions. The study also reveals that, during the lockdown, the parks' activities were strongly reduced or restructured. Recreational and educational activities were lifted in Parco Agricolo Sud in Milan whilst local farms restructured their food supply and fostered their network and linkages with the urban distribution channels. MAP in Naples had to stop its activities and reorganize into a smart-working system. Lastly, our study found that economic and farm network activities were resumed with greater urgency in Milan, whereas in Naples the recovery of the social practices has taken on greater importance.
C1 [Rusciano, Vincenzo] Univ Naples Parthenope, Dept Econ & Legal Studies, I-80133 Naples, Italy.
   [Gatto, Andrea] Wenzhou Kean Univ, Coll Business & Publ Management, Wenzhou 325060, Peoples R China.
   [Gatto, Andrea] Univ Greenwich, Nat Resources Inst, Cent Ave, Chatham ME4 4TB, Kent, England.
   [Gatto, Andrea] Azerbaijan State Univ Econ UNEC, Ctr Studies Europe, AZ-1001 Baku, Azerbaijan.
C3 Parthenope University Naples; Wenzhou-Kean University; University of
   Greenwich; Ministry of Education of Azerbaijan Republic; Azerbaijan
   State University of Economics (UNEC)
RP Gatto, A (corresponding author), Wenzhou Kean Univ, Coll Business & Publ Management, Wenzhou 325060, Peoples R China.; Gatto, A (corresponding author), Univ Greenwich, Nat Resources Inst, Cent Ave, Chatham ME4 4TB, Kent, England.; Gatto, A (corresponding author), Azerbaijan State Univ Econ UNEC, Ctr Studies Europe, AZ-1001 Baku, Azerbaijan.
EM vincenzo.rusciano@uniparthenope.it; a.gatto@greenwich.ac.uk
RI ; Gatto, Andrea/L-1210-2019
OI Rusciano, Vincenzo/0000-0002-3975-4577; Gatto,
   Andrea/0000-0003-1005-3571
CR Agnoletti M, 2020, LANDSCAPE URBAN PLAN, V204, DOI 10.1016/j.landurbplan.2020.103955
   Akpinar A, 2016, URBAN FOR URBAN GREE, V16, P76, DOI 10.1016/j.ufug.2016.01.011
   Alberti MA, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103961
   [Anonymous], 2020, GIMBE
   [Anonymous], 2020, CITTA METROPOLITANA
   [Anonymous], 2020, SOLE24ORE
   [Anonymous], ORTO SOCIALE PONTICE
   Aram F, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100245
   Beery T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124894
   Block A.H., 2012, Responding to the Urban Heat Island: A Review of the Potential of Green Infrastructure
   Boccia F, 2017, QUAL-ACCESS SUCCESS, V18, P130
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Cattivelli V., 2020, EYESREG, V10
   Cattivelli V, 2022, URBAN FOR URBAN GREE, V72, DOI 10.1016/j.ufug.2022.127511
   Cattivelli V, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105282
   Cattivelli V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114444
   Chun J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11185116
   Cobianchi L, 2020, ANN SURG, V272, pE296, DOI 10.1097/SLA.0000000000004489
   Colding J, 2013, GLOBAL ENVIRON CHANG, V23, P1039, DOI 10.1016/j.gloenvcha.2013.05.006
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Comune di Casalecchio, 2020, REG PIAN TERR
   Consolazio D, 2021, INT J HEALTH SERV, V51, P311, DOI 10.1177/0020731421994842
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   Drago C, 2023, TECHNOVATION, V120, DOI 10.1016/j.technovation.2021.102417
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   Filazzola A, 2019, J APPL ECOL, V56, P2131, DOI 10.1111/1365-2664.13475
   Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014
   Gascon M, 2016, ENVIRON INT, V86, P60, DOI 10.1016/j.envint.2015.10.013
   Gatto A, 2020, FRONTLINE SUSTAINABI
   Gatto A, 2022, ENERGY RES SOC SCI, V89, DOI 10.1016/j.erss.2022.102639
   Gatto A, 2022, AMBIO, V51, P1921, DOI 10.1007/s13280-022-01719-x
   Gatto A, 2022, J PUBLIC AFF, V22, DOI 10.1002/pa.2769
   Gatto M, 2020, P NATL ACAD SCI USA, V117, P10484, DOI 10.1073/pnas.2004978117
   Gatto P., 1988, Monti e Boschi, V39, P28
   Ghose R, 2014, GEOFORUM, V53, P93, DOI 10.1016/j.geoforum.2014.02.009
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Grahn P, 2010, LANDSCAPE URBAN PLAN, V94, P264, DOI 10.1016/j.landurbplan.2009.10.012
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   Kim HS, 2019, LANDSCAPE URBAN PLAN, V184, P1, DOI 10.1016/j.landurbplan.2018.12.007
   Ostoic SK, 2020, FORESTS, V11, DOI 10.3390/f11080876
   Leal W, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14094965
   Lohrberg F., 2016, URBAN AGR EUROPE
   Markevych I, 2014, ENVIRON INT, V71, P29, DOI 10.1016/j.envint.2014.06.002
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Melo M.P., 2014, Novos Estudos Juridicos, V19, P95, DOI [10.14210/nej.v19n1.p95-121, DOI 10.14210/NEJ.V19N1.P95-121]
   Metropolitan City of Milan (MCM), 2019, GUID AZ AGR PARC AGR
   Morrow N, 2022, LAND-BASEL, V11, DOI 10.3390/land11010123
   Moulaert F, 2013, INTERNATIONAL HANDBOOK ON SOCIAL INNOVATION: COLLECTIVE ACTION, SOCIAL LEARNING AND TRANSDISCIPLINARY RESEARCH, P1, DOI 10.4337/9781849809993
   Murgante B., 2020, GEOMEDIA, V23, P1
   Nath TK, 2018, URBAN FOR URBAN GREE, V36, P34, DOI 10.1016/j.ufug.2018.09.013
   Romani G, 2021, POPUL HEALTH MANAG, V24, P174, DOI 10.1089/pop.2020.0255
   Rusciano V., 2017, INT J SUSTAIN EC SOC, V13, P39, DOI [10.18848/2325-1115/CGP/v13i02/39-49, DOI 10.18848/2325-1115/CGP/V13I02/39-49]
   Rusciano V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114651
   Rusciano V, 2019, QUAL-ACCESS SUCCESS, V20, P543
   Rusciano V, 2017, QUAL-ACCESS SUCCESS, V18, P376
   Russo A, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10080358
   Sadik-Zada E.R., 2022, GLOBAL URBAN HEAT IS
   Sadik-Zada ER, 2023, SOCIO-ECON PLAN SCI, V87, DOI 10.1016/j.seps.2022.101347
   Shimpo N, 2019, URBAN FOR URBAN GREE, V38, P124, DOI 10.1016/j.ufug.2018.12.002
   Simeone M, 2020, J CLEAN PROD, V277, DOI 10.1016/j.jclepro.2020.124036
   Spagnoli L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13148108
   Su SL, 2016, LAND USE POLICY, V57, P605, DOI 10.1016/j.landusepol.2016.06.030
   Torzilli G, 2020, ANN SURG, V272, pE112, DOI 10.1097/SLA.0000000000004081
   Uchiyama Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12239842
   Ugolini F, 2021, LAND USE POLICY, V105, DOI 10.1016/j.landusepol.2021.105437
   van den Berg AE, 2010, SOC SCI MED, V70, P1203, DOI 10.1016/j.socscimed.2010.01.002
   Wang JX, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127180
   Wang Q, 2019, LAND USE POLICY, V83, P66, DOI 10.1016/j.landusepol.2019.01.026
   Xie J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176751
   Zhang JX, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102123
   Zijlema WL, 2017, ENVIRON RES, V155, P268, DOI 10.1016/j.envres.2017.02.017
   Zurek M., 2022, AGRIC RESOUR ECON RE
NR 73
TC 9
Z9 9
U1 2
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2022
VL 14
IS 12
AR 7509
DI 10.3390/su14127509
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 2L1MB
UT WOS:000816785200001
OA gold
DA 2025-04-22
ER

PT J
AU Shtern, M
   Rokem, J
AF Shtern, Marik
   Rokem, Jonathan
TI Towards Urban Geopolitics of Encounter: Spatial Mixing in Contested
   Jerusalem
SO GEOPOLITICS
LA English
DT Article
ID WEST JERUSALEM; MULTICULTURAL CITY; DIFFERENCE; DIVERSITY; GEOGRAPHIES;
   REFLECTIONS; CONFLICT; ENCLAVES; TERROR; SPACE
AB The extent to which 'geographies of encounter' facilitate tolerance of diversity and difference has long been a source of debate in urban studies and human geography scholarship. However, to date this contestation has focused primarily on hyper-diverse cities in the global north-west. Adapting this debate to the volatile conditions of the nationally-contested city, this paper explores intergroup encounters between Israelis and Palestinians in Jerusalem. The paper suggests that in the context of hyper-polarisation of the nationally-contested urban space, the study of encounter should focus on macro-scale structural forces. In Jerusalem, we stress the role of ethnonationality and neoliberalism as key producers of its asymmetric and volatile yet highly resilient geography of intergroup encounters. In broader sense, as many cities worldwide experience a resurgence of ethnonationalism, illuminating the structural production of encounter may demarcate a broader function for reading contemporary urban geopolitics.
C1 [Shtern, Marik] Hebrew Univ Jerusalem, Truman Inst Adv Peace, Dept Geog, Jerusalem, Israel.
   [Rokem, Jonathan] Univ Kent, Sch Anthropol & Conservat, Human Geog, Canterbury, Kent, England.
   [Rokem, Jonathan] Univ Kent, Sch Anthropol & Conservat, Kents Interdisciplinary Ctr Spatial Studies KISS, Canterbury, Kent, England.
C3 Hebrew University of Jerusalem; University of Kent; University of Kent
RP Shtern, M (corresponding author), Hebrew Univ Jerusalem, Truman Inst Adv Peace, Dept Geog, Jerusalem, Israel.
EM Marik.Shtern@mail.huji.ac.il
RI Rokem, Jonathan/X-8344-2019
CR Allport G., 1954, NATURE PREJUDICE
   Amin A, 2002, ENVIRON PLANN A, V34, P959, DOI 10.1068/a3537
   [Anonymous], 2019, CONTESTING PEACE POS
   [Anonymous], 2019, TIMES ISRAEL 0516
   Avni N, 2021, POLIT GEOGR, V86, DOI 10.1016/j.polgeo.2020.102314
   Avni N, 2022, URBAN GEOGR, V43, P546, DOI 10.1080/02723638.2021.1878430
   Baumann H, 2016, CITIES, V59, P173, DOI 10.1016/j.cities.2015.10.012
   Benvenisti M., 1995, INTIMATE ENEMIES JEW
   Blander A, 2018, GEOFORUM, V96, P227, DOI 10.1016/j.geoforum.2018.08.018
   Boal FW, 2002, POLIT GEOGR, V21, P687, DOI 10.1016/S0962-6298(02)00013-6
   Boal FW, 1999, HOUSING STUD, V14, P585, DOI 10.1080/02673039982623
   Boano C., 2016, City, V20, P455
   Bollens S. A., 2018, Trajectories of Conflict and Peace: Jerusalem and Belfast since 1994
   Bollens ScottA., 2000, On Narrow Ground: Urban Policy and Ethnic Conflict in Jerusalem and Belfast
   Calame JonEsther Charlesworth., 2011, Divided Cities: Belfast, Beirut, Jerusalem, Mostar, and Nicosia
   Choshen M., 2019, JERUSALEM STAT YB 20
   Connor W., 2007, BLACKWELL ENCY SOCIO, P1
   Davila Arlene., 2016, MALL SPATIAL CLASS P
   Dumper M., 2014, JERUSALEM UNBOUND GE
   Feitelson E, 2021, J TRANSP GEOGR, V91, DOI 10.1016/j.jtrangeo.2021.102968
   Gaffikin Frank., 2011, Planning in Divided Cities: Collaborative Shaping of Contested Space, DOI DOI 10.1002/9781444393200
   GREENBERGRAANAN M, 2014, CITIES, V36, P28
   Harvey David, 2006, A Brief History of Neoliberalism, DOI DOI 10.2307/1388974
   Hazam S, 2007, URBAN STUD, V44, P2529, DOI 10.1080/00420980701558392
   Hewstone M, 2015, J SOC ISSUES, V71, P417, DOI 10.1111/josi.12120
   Hillier B., 1996, URBAN DES INT, V1, P41, DOI [10.1057/udi.1996.5, DOI 10.1057/UDI.1996.5]
   Hillier B., 1984, The Social Logic of Space
   Holland C., 2007, Social interactions in urban public places
   Ir Amim, 2014, JER MUN BUDG AN 2013
   Jabareen Y, 2019, LANDSCAPE URBAN PLAN, V189, P46, DOI 10.1016/j.landurbplan.2019.04.010
   JACKSON P, 1985, PROG HUM GEOG, V9, P157, DOI 10.1177/030913258500900201
   Jerusalem municipality, 2004, 4 JER MUN
   Johnson RB, 2007, J MIX METHOD RES, V1, P112, DOI 10.1177/1558689806298224
   JTMT, 2016, SEK TACHB VET BEM YE
   Keidar N, 2018, CITY COMMUNITY, V17, P1209, DOI 10.1111/cico.12339
   Laurence J, 2014, ETHNIC RACIAL STUD, V37, P1328, DOI 10.1080/01419870.2013.788727
   Leach WilliamR., 2011, Land of Desire: Merchants, Power, and the Rise of a New American Culture
   Leitner H., 2007, Contesting neoliberalism: Urban frontiers
   Low S., 1999, Theorizing the city: The new urban anthropology reader
   Marantz EA, 2014, SOC FORCES, V93, P595, DOI 10.1093/sf/sou085
   Masry-Herzalla A, 2014, J ETHN MIGR STUD, V40, P1002, DOI 10.1080/1369183X.2013.849570
   Massey D, 1993, American apartheid: Segregation and the making of the underclass
   Nightingale Carl., 2012, SEGREGATION GLOBAL H
   Nolte Amina., 2016, City, V20, nos, P441, DOI 10.1080/13604813.2016.1169778
   Peck J, 2013, INT J URBAN REGIONAL, V37, P1091, DOI 10.1111/1468-2427.12066
   Peck Jamie., 2009, SAIS Review, VXXIX, P49, DOI [DOI 10.1353/SAIS.0.0028, 10.1353/sais.0.0028]
   Piekut A, 2017, SOC SCI RES, V62, P175, DOI 10.1016/j.ssresearch.2016.08.005
   Raanan MG, 2020, POLIT GEOGR, V76, DOI 10.1016/j.polgeo.2019.102090
   Rokem J., 2016, City, V20, P407
   Rokem J., 2016, City, V20, P472
   Rokem J., 2018, Urban Geopolitics: Rethinking Planning in Contested Cities
   Rokem J, 2018, POLIT GEOGR, V66, P88, DOI 10.1016/j.polgeo.2018.08.008
   Rokem J, 2018, URBAN STUD, V55, P3454, DOI 10.1177/0042098017691465
   Rokem J, 2017, POLIT GEOGR, V61, P253, DOI 10.1016/j.polgeo.2017.04.004
   Romann Michael., 1991, Living Together Separately: Arabs and Jews in Contemporary Jerusalem
   Rosen G, 2014, INT J URBAN REGIONAL, V38, P935, DOI 10.1111/1468-2427.12093
   Rosen G, 2009, URBAN STUD, V46, P1702, DOI 10.1177/0042098009105508
   Salem W., 2005, PALESTINE ISRAEL J P, V12, P1
   Sassen Saskia., 1999, GLOBALIZATION ITS DI
   Savitch HV, 2005, URBAN STUD, V42, P361, DOI 10.1080/00420980500034801
   Sennett Richard., 1990, CONSCIENCE EYE
   Shirlow P., 2001, PEACE REV, V13, P67, DOI [10.1080/10402650120038161, DOI 10.1080/10402650120038161]
   Shlomo O, 2017, POLIT GEOGR, V61, P224, DOI 10.1016/j.polgeo.2017.09.011
   Shmaryahu-Yeshurun Y, 2021, URBAN STUD, V58, P2605, DOI 10.1177/0042098020953077
   Shtern M., 2017, POLARISED LABOUR INT
   Shtern M., 2017, MEEVER LETIKRAT ZCHU
   Shtern M, 2019, URBAN GEOGR, V40, P467, DOI 10.1080/02723638.2018.1500251
   Shtern M, 2019, URBAN STUD, V56, P1129, DOI 10.1177/0042098018763289
   Shtern M, 2016, CITIES, V52, P132, DOI 10.1016/j.cities.2015.11.019
   SIEBER SD, 1973, AM J SOCIOL, V78, P1335, DOI 10.1086/225467
   Valentine G, 2008, PROG HUM GEOG, V32, P323, DOI 10.1177/0309133308089372
   Valentine G, 2013, GEOGRAPHY, V98, P4
   Vaughan L, 2007, PROG PLANN, V67, P205, DOI 10.1016/j.progress.2007.03.001
   Vertovec S, 2007, ETHNIC RACIAL STUD, V30, P1024, DOI 10.1080/01419870701599465
   Watson V., 2006, PLAN THEOR, V5, P31, DOI DOI 10.1177/1473095206061020
   Wilson HF, 2017, PROG HUM GEOG, V41, P451, DOI 10.1177/0309132516645958
   Wilson HF, 2011, ENVIRON PLANN A, V43, P634, DOI 10.1068/a43354
   Yacobi H, 2014, GEOPOLITICS, V19, P514, DOI 10.1080/14650045.2013.857657
   Yacobi H, 2012, ENVIRON PLANN A, V44, P2705, DOI 10.1068/a44612
   Yalink A., 2011, YORDIM LAIR MERKAZ H, P106
   Yiftachel O, 2006, ETHNOCRACY: LAND AND IDENTITY POLITICS IN ISRAEL/PALESTINE, P1
   Yiftachel O, 2003, ENVIRON PLANN D, V21, P673, DOI 10.1068/d47j
   Zaban H, 2020, URBAN STUD, V57, P3116, DOI 10.1177/0042098019845614
   Zaban H, 2015, J INT MIGR INTEGR, V16, P1003, DOI 10.1007/s12134-014-0398-5
   Zohrabi M., 2013, Theory and Practice in Language Studies, V3, P254, DOI [DOI 10.4304/TPLS.3.2, 10.4304/tpls.3.2.254-262]
NR 85
TC 10
Z9 10
U1 1
U2 6
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1465-0045
EI 1557-3028
J9 GEOPOLITICS
JI Geopolitics
PD OCT 20
PY 2023
VL 28
IS 5
SI SI
BP 1710
EP 1734
DI 10.1080/14650045.2021.1926992
EA MAY 2021
PG 25
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA R4XU7
UT WOS:000650983400001
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Ran, J
   MacGillivray, BH
   Gong, Y
   Hales, TC
AF Ran, Jing
   MacGillivray, Brian H.
   Gong, Yi
   Hales, Tristram C.
TI The application of frameworks for measuring social vulnerability and
   resilience to geophysical hazards within developing countries: A
   systematic review and narrative synthesis
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Review
DE Social vulnerability; Resilience; Measurement; Systematic literature
   review
ID YANGTZE-RIVER DELTA; NATURAL HAZARDS; CLIMATE-CHANGE; COMMUNITY
   RESILIENCE; COMPREHENSIVE ASSESSMENT; INDIGENOUS COMMUNITIES; URBAN
   VULNERABILITY; EMPIRICAL-EVIDENCE; FLOOD HAZARDS; RISK
AB Quantifying and mapping resilience and social vulnerability is a widely used technique to support risk management, with recent years seeing a proliferation of applications across the Global South. To synthesise this emerging literature, we conducted a systematic review of applications of social vulnerability and resilience frameworks in Lower and Middle Income Countries (LMICs) using the PRISMA methodology. 2152 papers were extracted from 15 databases and then screened according to our pre-defined criteria, leaving 68 studies for full text analysis. Our analysis revealed that: (1) Most studies consider vulnerability or resilience to be generic properties of social systems; (2) Few papers measured vulnerability or resilience in a way that tests whether they are relatively stable or dynamic features of social systems; (3) Many applications rely on stock applications of existing frameworks, with little adaptation to specific cultural, societal or economic contexts; (4) There is a lack of systematic validation; (5) More hypothesis driven studies (as opposed to descriptive mapping exercises) are required in order to develop a better understanding of the mechanisms through which vulnerability and resilience shape the capacity to prepare for, respond and recover from disasters. (C) 2019 The Authors. Published by Elsevier B.V.
C1 [Ran, Jing] Hunan Univ, Sch Architecture, Changsha 410000, Hunan, Peoples R China.
   [Ran, Jing; MacGillivray, Brian H.; Gong, Yi; Hales, Tristram C.] Cardiff Univ, Sustainable Pl Res Inst, Cardiff, Wales.
   [Ran, Jing; Hales, Tristram C.] Cardiff Univ, Sch Earth & Ocean Sci, Cardiff, Wales.
   [Gong, Yi] Cardiff Univ, Sch Med, Cardiff, Wales.
C3 Hunan University; Cardiff University; Cardiff University; Cardiff
   University
RP Ran, J (corresponding author), Hunan Univ, Sch Architecture, Changsha 410000, Hunan, Peoples R China.
EM Jing_Ran@foxmail.com
RI ; Gong, Yi/M-9923-2014
OI MacGillivray, Brian/0000-0001-9065-4451; Gong, Yi/0000-0003-2936-4476;
   Ran, Jing/0000-0002-2112-9001; Hales, Tristram/0000-0002-3330-3302
FU Natural Environmental Research Council-National Science Foundation of
   China Economic and Social Research Council-Newton Fund grant (NERC
   grant) [NE/N012240/1]; Natural Environmental Research Council-National
   Science Foundation of China Economic and Social Research Council-Newton
   Fund grant (NSFC grant) [4151101239]; NERC [NE/N012240/1] Funding
   Source: UKRI
FX This research was supported by a joint Natural Environmental Research
   Council-National Science Foundation of China Economic and Social
   Research Council-Newton Fund grant (NERC grant number, NE/N012240/1 and
   NSFC grant number 4151101239, "Resilience to earthquake-induced
   landslide hazard in China." Two anonymous reviewers provided helpful
   comments. The usual caveats remain.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Ahsan MN, 2014, INT J DISAST RISK RE, V8, P32, DOI 10.1016/j.ijdrr.2013.12.009
   Akter S, 2013, ECOL ECON, V96, P114, DOI 10.1016/j.ecolecon.2013.10.008
   Aldrich D.P., 2012, Building Resilience: Social Capital in Post-Disaster Recovery, P1, DOI DOI 10.7208/CHICAGO/9780226012896.001.0001
   Aldrich DP, 2015, SOC SCI MED, V124, P66, DOI 10.1016/j.socscimed.2014.11.025
   Ancog RC, 2016, INT J CLIM CHANG STR, V8, P154, DOI 10.1108/IJCCSM-09-2014-0100
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2017, REG ENVIRON CHANGE, DOI DOI 10.1007/s10113-016-1043-y
   [Anonymous], ASIAN J ENV DISASTER
   [Anonymous], MEASURING VULNERABIL
   Antwi-Agyei Philip, 2013, Environment Development and Sustainability, V15, P903, DOI 10.1007/s10668-012-9418-9
   Asadzadeh A, 2015, INT J DISAST RISK RE, V14, P504, DOI 10.1016/j.ijdrr.2015.10.002
   Bakkensen LA, 2017, RISK ANAL, V37, P982, DOI 10.1111/risa.12677
   Balica SF, 2009, WATER SCI TECHNOL, V60, P2571, DOI 10.2166/wst.2009.183
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Boruff BJ, 2007, GEOGR REV, V97, P24
   Brink SA, 2015, EARTHQ SPECTRA, V31, P1931, DOI 10.1193/021914EQS031M
   Busby JW, 2014, CLIMATIC CHANGE, V124, P717, DOI 10.1007/s10584-014-1142-z
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Chakraborty A, 2016, GEOMAT NAT HAZ RISK, V7, P308, DOI 10.1080/19475705.2014.897656
   Chen H, 2006, GEOMORPHOLOGY, V77, P112, DOI 10.1016/j.geomorph.2006.01.002
   Chen WF, 2013, INT J DISAST RISK SC, V4, P169, DOI 10.1007/s13753-013-0018-6
   COHEN J, 1968, PSYCHOL BULL, V70, P213, DOI 10.1037/h0026256
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   De Silva MJ, 2006, SOC SCI MED, V62, P941, DOI 10.1016/j.socscimed.2005.06.050
   Di Baldassarre G, 2015, WATER RESOUR RES, V51, P4770, DOI 10.1002/2014WR016416
   Ding MT, 2016, LANDSLIDES, V13, P537, DOI 10.1007/s10346-015-0578-1
   Ebert A, 2009, NAT HAZARDS, V48, P275, DOI 10.1007/s11069-008-9264-0
   England P, 2011, NAT GEOSCI, V4, P348, DOI 10.1038/ngeo1168
   Fang CL, 2016, J GEOGR SCI, V26, P153, DOI 10.1007/s11442-016-1260-9
   Gainsborough M., 2007, J VIETNAMESE STUDIES, V2, P3, DOI [https://doi.org/10.1525/vs.2007.2.1.3, DOI 10.1525/VS.2007.2.1.3]
   Gawith D, 2016, J ENVIRON PLANN MAN, V59, P2102, DOI 10.1080/09640568.2015.1126241
   Ge Y, 2013, STOCH ENV RES RISK A, V27, P1899, DOI 10.1007/s00477-013-0725-y
   Gil-Guirado S, 2016, CLIMATIC CHANGE, V139, P183, DOI 10.1007/s10584-016-1768-0
   Hagenlocher M, 2018, SCI TOTAL ENVIRON, V631-632, P71, DOI 10.1016/j.scitotenv.2018.03.013
   Hardy RD, 2018, APPL GEOGR, V91, P10, DOI 10.1016/j.apgeog.2017.12.019
   Hou JD, 2016, NAT HAZARDS, V84, pS97, DOI 10.1007/s11069-015-1931-3
   Huang JY, 2015, CHINESE GEOGR SCI, V25, P472, DOI 10.1007/s11769-015-0769-7
   Huang JY, 2013, NAT HAZARDS, V65, P115, DOI 10.1007/s11069-012-0348-5
   Hummell BMD, 2016, INT J DISAST RISK SC, V7, P111, DOI 10.1007/s13753-016-0090-9
   Ignacio J., 2016, Vienna Yearb Popul Res, V2015, P91
   Inostroza L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162464
   Kafle Shesh Kanta, 2012, J Bus Contin Emer Plan, V5, P316
   Klinenberg E., 2015, HEAT WAVE SOCIAL AUT, DOI DOI 10.7208/CHICAGO/9780226026718.001.0001
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kovacevic-Majkic J, 2014, NAT HAZARDS, V72, P945, DOI 10.1007/s11069-014-1045-3
   Künzler M, 2012, NAT HAZARDS, V64, P767, DOI 10.1007/s11069-012-0271-9
   Kusumastuti RD, 2014, INT J DISAST RISK RE, V10, P327, DOI 10.1016/j.ijdrr.2014.10.007
   Lam NSN, 2014, J COASTAL RES, P473, DOI 10.2112/SI70-080.1
   LANDIS JR, 1977, BIOMETRICS, V33, P159, DOI 10.2307/2529310
   Lawal O, 2015, JAMBA-J DISASTER RIS, V7, DOI 10.4102/jamba.v7i1.155
   Lee YJ, 2014, ENVIRON IMPACT ASSES, V44, P31, DOI 10.1016/j.eiar.2013.08.002
   Li XL, 2016, INT J DISAST RISK SC, V7, P257, DOI 10.1007/s13753-016-0091-8
   Liberati A., 2009, BMJBRITISH MEDICAL J, V339
   Lin KHE, 2016, GEOGR J, V182, P135, DOI 10.1111/geoj.12141
   Liu DL, 2016, NAT HAZARD EARTH SYS, V16, P1123, DOI 10.5194/nhess-16-1123-2016
   MacGillivray BH, 2019, RISK ANAL, V39, P1520, DOI 10.1111/risa.13284
   MacGillivray BH, 2018, ENVIRON SCI POLICY, V89, P116, DOI 10.1016/j.envsci.2018.07.014
   MacGillivray BH, 2015, GLOBAL ENVIRON CHANG, V33, P23, DOI 10.1016/j.gloenvcha.2015.04.002
   Maharani YN, 2016, INT J DISAST RISK RE, V20, P63, DOI 10.1016/j.ijdrr.2016.10.012
   Miao C, 2015, ARAB J GEOSCI, V8, P10241, DOI 10.1007/s12517-015-1945-x
   Miller F, 2010, ECOL SOC, V15
   Müller A, 2011, NAT HAZARD EARTH SYS, V11, P2107, DOI 10.5194/nhess-11-2107-2011
   Mustafa D, 2011, DISASTERS, V35, P62, DOI 10.1111/j.1467-7717.2010.01193.x
   Mwale FD, 2015, INT J DISAST RISK RE, V12, P172, DOI 10.1016/j.ijdrr.2015.01.003
   Ni C., 2015, PLOS ONE, V10
   de Andrade MMN, 2018, SCI TOTAL ENVIRON, V630, P903, DOI 10.1016/j.scitotenv.2018.02.271
   Orencio PM, 2013, AMBIO, V42, P61, DOI 10.1007/s13280-012-0331-0
   Pati RC, 2014, J ENVIRON SCI MANAG, V17, P17
   Pelling M., 2003, Natural Disasters and development in a globalizing world
   Petticrew M, 2006, SYSTEMATIC REVIEWS IN THE SOCIAL SCIENCES: A PRACTICAL GUIDE, P1, DOI 10.1002/9780470754887
   Piya L, 2016, CLIMATIC CHANGE, V135, P521, DOI 10.1007/s10584-015-1572-2
   Plummer R, 2012, ECOL SOC, V17, DOI 10.5751/ES-04952-170311
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Rahman N, 2015, INT J DISAST RISK RE, V13, P291, DOI 10.1016/j.ijdrr.2015.07.003
   Rogelis MC, 2016, NAT HAZARD EARTH SYS, V16, P833, DOI 10.5194/nhess-16-833-2016
   Roncancio DJ, 2016, NAT HAZARDS, V84, P1367, DOI 10.1007/s11069-016-2491-x
   Rubin O, 2015, ASIAN J SOC SCI, V43, P760, DOI 10.1163/15685314-04306006
   Rubin O, 2014, ASIA PAC VIEWP, V55, P67, DOI 10.1111/apv.12037
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Sherly MA, 2015, ANN ASSOC AM GEOGR, V105, P1198, DOI 10.1080/00045608.2015.1072792
   Siagian TH, 2014, NAT HAZARDS, V70, P1603, DOI 10.1007/s11069-013-0888-3
   Siebeneck L, 2015, NAT HAZARDS, V79, P955, DOI 10.1007/s11069-015-1886-4
   Spiegelhalter DJ, 2011, PHILOS T R SOC A, V369, P4730, DOI 10.1098/rsta.2011.0163
   Su SL, 2015, OCEAN COAST MANAGE, V116, P1, DOI 10.1016/j.ocecoaman.2015.06.026
   Sudmeier KI, 2013, DISASTER PREV MANAG, V22, P366, DOI 10.1108/DPM-02-2013-0028
   Thompson RR, 2017, RISK ANAL, V37, P812, DOI 10.1111/risa.12654
   Timmerman P., 1981, ENV MONOGRAPH, P1
   van der Sluijs JP, 2005, RISK ANAL, V25, P481, DOI 10.1111/j.1539-6924.2005.00604.x
   Yan L, 2010, ENVIRON EARTH SCI, V61, P1179, DOI 10.1007/s12665-009-0440-7
   Yan X., 2016, ANTHROPOLOGIST, V24, P570, DOI [10.1080/09720073.2016.11892051, DOI 10.1080/09720073.2016.11892051]
   Yang SN, 2015, NAT HAZARDS, V76, P1, DOI 10.1007/s11069-014-1225-1
   Yenneti K, 2016, HABITAT INT, V56, P124, DOI 10.1016/j.habitatint.2016.05.001
   Yi LX, 2014, ENVIRON EARTH SCI, V71, P3109, DOI 10.1007/s12665-013-2689-0
   Zebardast E, 2013, NAT HAZARDS, V65, P1331, DOI 10.1007/s11069-012-0412-1
   Zeng J, 2012, ENVIRON EARTH SCI, V65, P173, DOI 10.1007/s12665-011-1079-8
   Zhang N, 2013, CHINESE SCI BULL, V58, P2387, DOI 10.1007/s11434-013-5835-x
   Zhang YL, 2014, NAT HAZARDS, V71, P2113, DOI 10.1007/s11069-013-0996-0
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
   Zhou Y, 2015, NAT HAZARDS, V78, P257, DOI 10.1007/s11069-015-1713-y
   Zhou Y, 2014, RISK ANAL, V34, P614, DOI 10.1111/risa.12193
   Zhou Y, 2014, NAT HAZARDS, V71, P2165, DOI 10.1007/s11069-013-1003-5
   Zou LL, 2012, NAT HAZARDS, V62, P57, DOI 10.1007/s11069-011-9976-4
NR 105
TC 45
Z9 47
U1 10
U2 113
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD APR 1
PY 2020
VL 711
AR 134486
DI 10.1016/j.scitotenv.2019.134486
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KF6IZ
UT WOS:000509344700126
PM 31818578
OA hybrid, Green Accepted
DA 2025-04-22
ER

PT J
AU Bessey, KM
AF Bessey, KM
TI Structure and dynamics in an urban landscape: Toward a multiscale view
SO ECOSYSTEMS
LA English
DT Article
DE landscape structure; resilience; multimodality; hierarchy; cross-scale
   dynamics; city-size dynamics
ID PATTERNS; GEOMETRY; GROWTH
AB Ecosystems and city systems often form hierarchically structured landscapes whose spatial pattern is scale dependent. While trends in the upper tail of national city-size distributions leave the impression that fractal-scaling laws such as Zipf's law or the rank-size rule truly represent the essence of the system, the linearity depicted at aggregate scale actually obscures variation and discontinuity in the urban size-density function, including multimodalities evident in regional data sets. Tracing individual city trajectories through these hierarchical patterns reveals structural resilience at macroscopic scale, the punctuated growth of individual cities of differing sizes, the persistence and self-reinforcing character of spatial agglomeration, and a general need for further empirical investigation of the relationship between city size and growth. It also raises questions for future exploration, including the meaning of persistent departures from the power laws of traditional urban systems theory. Interpretation of such departures in the context of questions of jurisdictional scale in environmental management and "smart growth" policy adds a practical dimension to the research agenda.
C1 Harvard Univ, Grad Sch Design, Cambridge, MA 02138 USA.
C3 Harvard University
CR Allen CR, 1999, ECOSYSTEMS, V2, P114, DOI 10.1007/s100219900063
   ALLEN CR, 1999, SCALE BREAKS ORGANIZ
   [Anonymous], EVOLUTION COMPLEXITY
   [Anonymous], P AM PHIL SOC
   [Anonymous], SELF ORGANIZING EC
   [Anonymous], 1949, Human Behaviour and the Principle of Least-Effort
   ARLINGHAUS SL, 1985, GEOGR ANN B, V67, P83, DOI 10.2307/490419
   Bailey R.G., 1994, Ecoregions and subregions of the United States (map), supplementary table of map unit descriptions
   Bak P., 2013, How nature works: the science of self-organized criticality
   BERRY BJL, 1971, URBANIZATION NATL DE
   BESSEY KM, 2000, THESIS HARVARD U
   BURROUGH PA, 1981, NATURE, V294, P240, DOI 10.1038/294240a0
   Carpenter S., 1999, CONSERV ECOL, V3, P4
   CARROLL GR, 1982, PROG HUM GEOG, V6, P1
   Dendrinos D.S., 1992, DYNAMICS CITIES ECOL
   Dendrinos D.S., 1990, Chaos and Socio-Spatial Time-dependents
   DOBKINS LH, 2000, EC CITIES
   Dziewonski K., 1972, PAPERS REGIONAL SCI, V29, P73
   Fonseca JamesW., 1989, URBAN RANK SIZE HIER
   Gabaix X, 1999, Q J ECON, V114, P739, DOI 10.1162/003355399556133
   Gibrat R., 1957, INT EC PAPERS, V7, P53
   Gibson C., 1998, Population of the 100 largest cities and other urban places in the United States: 1790 to 1990
   Gini C., 1921, ECON J, V31, P124, DOI [10.2307/2223319, DOI 10.2307/2223319]
   GLAESER EL, 1993, EC GROWTH CROSS SECT
   Gould S. J., 1996, FULL HOUSE SPREAD EX, DOI DOI 10.4159/HARVARD.9780674063396
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   HAKEN H, 1981, CHAOS ORDER NATURE, V20
   HOLLING CS, 1992, ECOL MONOGR, V62, P447, DOI 10.2307/2937313
   IJIRI Y, 1977, STUDIES MATH MANAGER
   Jefferson M, 1939, GEOGR REV, V29, P226, DOI 10.2307/209944
   Kendall M.G., 1969, The Advanced Theory of Statistics, V3rd
   MAKSE HA, 1995, NATURE, V377, P608, DOI 10.1038/377608a0
   MALECKI EJ, 1980, ENVIRON PLANN A, V12, P41, DOI 10.1068/a120041
   Marshall J., 1989, The Structure of Urban Systems
   Marshall JU, 1997, URBAN GEOGR, V18, P36, DOI 10.2747/0272-3638.18.1.36
   MARSHALL JU, 1993, GEOGRAPHICAL MONOGRA, V22, P231
   MAY RM, 1974, SCIENCE, V186, P645, DOI 10.1126/science.186.4164.645
   MILNE BT, 1992, THEOR POPUL BIOL, V41, P337, DOI 10.1016/0040-5809(92)90033-P
   ONEILL RV, 1991, LANDSCAPE ECOL, V5, P137, DOI 10.1007/BF00158061
   ONEILL RV, 1986, HIERARCHICAL CONCPET
   PAPAGEORGIOU YY, 1980, ENVIRON PLANN A, V12, P1035
   PARETO V, 1906, COURS EC POLITIQUE
   Pickett STA., 1997, Urban Ecosystems, V1, P185, DOI DOI 10.1023/A:1018531712889
   POYSER T, 1999, UNPUB
   ROSING KE, 1966, PROF GEOGR, V18, P75, DOI 10.1111/j.0033-0124.1966.00075.x
   SIMON HA, 1955, BIOMETRIKA, V42, P425
   Steindl J., 1965, RANDOM PROCESS GROWT
   Storper Michael, 1997, The Regional World. Territorial Development in a Global Economy
   Wilson EO, 1998, CONSILIENCE UNITY KN
   Wu J., 1999, Canadian Journal of Remote Sensing, V25, P367
   Wu JG, 1995, Q REV BIOL, V70, P439, DOI 10.1086/419172
   Yule G. U., 1971, STAT PAPERS GEORGE U
NR 52
TC 24
Z9 30
U1 1
U2 38
PU SPRINGER-VERLAG
PI NEW YORK
PA 175 FIFTH AVE, NEW YORK, NY 10010 USA
SN 1432-9840
J9 ECOSYSTEMS
JI Ecosystems
PD JUN
PY 2002
VL 5
IS 4
BP 360
EP 375
DI 10.1007/s10021-001-0080-6
PG 16
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 564KN
UT WOS:000176313700006
DA 2025-04-22
ER

PT J
AU Brochado, A
   Rodrigues, P
   Sousa, A
   Borges, AP
   Veloso, M
   Gómez-Suárez, M
AF Brochado, Ana
   Rodrigues, Paula
   Sousa, Ana
   Borges, Ana Pinto
   Veloso, Monica
   Gomez-Suarez, Monica
TI Resilience and Sustainable Urban Tourism: Understanding Local
   Communities' Perceptions after a Crisis
SO SUSTAINABILITY
LA English
DT Article
DE local community; resilience; sustainable tourism; city; qualitative
   analysis; Portugal; Spain
ID RESIDENTS PERCEPTIONS; ECONOMIC-CRISIS; INDUSTRY; STRATEGIES; PROXIMITY;
   IMPACTS
AB This study sought to examine the coronavirus COVID-19 pandemic's impacts on local communities whose residents are directly or indirectly affected by city tourism. Qualitative research was conducted via in-depth interviews and Leximancer software analysis to explore locals' perceptions in two highly tourism-dependent southern European cities. While the crisis has had predominantly negative impacts on tourism, the pandemic's positive effects could contribute to cities' greater resilience and more sustainable tourism models. The results highlight the variables that residents perceive as having the most influence on city tourism, as well as providing insights into locals' expectations for the future.
C1 [Brochado, Ana] DINAMIACET Ctr Estudos Mudanca Socioecon & Terr, P-1649026 Lisbon, Portugal.
   [Brochado, Ana] Inst Univ Lisboa ISCTE IUL, P-1649026 Lisbon, Portugal.
   [Rodrigues, Paula; Sousa, Ana] Univ Lusiada, COMEGI Res Ctr Org Markets & Ind Management, P-4100346 Porto, Portugal.
   [Borges, Ana Pinto] ISAG European Business Sch, COMEGI Res Ctr Org Markets & Ind Management, CICET FCVC Res Ctr Business Sci & Tourism, P-4100442 Porto, Portugal.
   [Veloso, Monica; Gomez-Suarez, Monica] Univ Autonoma Madrid, Madrid 28049, Spain.
C3 Instituto Universitario de Lisboa; Autonomous University of Madrid
RP Brochado, A (corresponding author), DINAMIACET Ctr Estudos Mudanca Socioecon & Terr, P-1649026 Lisbon, Portugal.; Brochado, A (corresponding author), Inst Univ Lisboa ISCTE IUL, P-1649026 Lisbon, Portugal.
EM ana.brochado@iscte-iul.pt; pcristinalopesrodrigues@gmail.com;
   ferreira.antunes.ana@gmail.com; anaborges@isag.pt; monica.veloso@uam.es;
   monica.gomez@uam.es
RI Pinto Borges, Ana/AAO-9585-2020; Veloso, Mónica/ABA-0256-2022; Sousa,
   Ana/J-5979-2012; GOMEZ-SUAREZ, MONICA/H-7260-2015; Rodrigues,
   Paula/W-4847-2017
OI Sousa, Ana/0000-0001-8621-4963; GOMEZ-SUAREZ,
   MONICA/0000-0001-7415-3964; Borges, Ana/0000-0002-4942-079X; Brochado,
   Ana/0000-0002-8917-2575; Veloso, Monica/0000-0003-0074-9866; Rodrigues,
   Paula/0000-0003-2967-2583
FU FCT-Fundaco para a Ciencia e aTecnologia, I.P. [UIDB/04005/2020]
FX This work was supported by national funding of FCT-Fundac & atilde;o
   para a Ciencia e aTecnologia, I.P., in the project "UIDB/04005/2020".
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Agovino M, 2022, CURR ISSUES TOUR, V25, P3815, DOI 10.1080/13683500.2021.2005548
   Almeida-García F, 2016, TOURISM MANAGE, V54, P259, DOI 10.1016/j.tourman.2015.11.007
   Andereck KL, 2005, ANN TOURISM RES, V32, P1056, DOI 10.1016/j.annals.2005.03.001
   [Anonymous], Estatisticas territoriais
   [Anonymous], 2020, Gobierno de Espana Informe Annual
   Assaf A, 2020, TOURISM ECON, V26, P731, DOI 10.1177/1354816620933712
   Ateljevic I, 2020, TOURISM GEOGR, V22, P467, DOI 10.1080/14616688.2020.1759134
   Benjamin S, 2020, TOURISM GEOGR, V22, P476, DOI 10.1080/14616688.2020.1759130
   Bianchi RV, 2021, J SUSTAIN TOUR, V29, P352, DOI 10.1080/09669582.2020.1730862
   Braun V, 2022, QUAL PSYCHOL, V9, P3, DOI 10.1037/qup0000196
   Brochado A, 2019, INT J CONTEMP HOSP M, V31, P855, DOI [10.1108/ijchm-09-2017-0572, 10.1108/IJCHM-09-2017-0572]
   Bujosa A, 2013, CLIMATIC CHANGE, V117, P363, DOI 10.1007/s10584-012-0554-x
   Burksiene V, 2018, ORGANIZACIJA, V51, P66, DOI 10.2478/orga-2018-0005
   Chang CL, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093671
   Cheer JM, 2020, TOURISM GEOGR, V22, P514, DOI 10.1080/14616688.2020.1765016
   Cheer JM, 2019, J SUSTAIN TOUR, V27, P554, DOI 10.1080/09669582.2019.1578363
   Chen FF, 2020, J SUSTAIN TOUR, V28, P606, DOI 10.1080/09669582.2019.1694029
   Cheung KS, 2019, J SUSTAIN TOUR, V27, P1197, DOI 10.1080/09669582.2019.1606815
   Cole S, 2010, TOURISM AND INEQUALITY: PROBLEMS AND PROSPECTS, P1, DOI 10.1079/9781845936624.0000
   Cole S, 2010, TOURISM AND INEQUALITY: PROBLEMS AND PROSPECTS, P107, DOI 10.1079/9781845936624.0107
   Cottrell SP, 2013, TOUR MANAG PERSPECT, V8, P42, DOI 10.1016/j.tmp.2013.05.005
   Coutu DL, 2002, HARVARD BUS REV, V80, P46
   Creswell J. W., 2013, Qualitative Inquiry and Research design: Choosing among Five Approaches, V3
   Creswell J.W., 2017, RES DESIGN QUALITATI
   Diaz-Soria I, 2017, TOURISM GEOGR, V19, P96, DOI 10.1080/14616688.2016.1214976
   Dikanovic Z., 2022, New Technologies, Development and Application V, P991, DOI DOI 10.1007/978-3-031-05230-9_116
   Dunne C, 2011, INT J SOC RES METHOD, V14, P111, DOI 10.1080/13645579.2010.494930
   Dvorak J, 2021, BALT REG, V13, P70, DOI 10.5922/2079-8555-2021-1-4
   Dwyer L, 2016, J HOSP TOUR MANAG, V26, P91, DOI 10.1016/j.jhtm.2016.01.003
   Ferrer-Rosell B, 2020, INF TECHNOL TOUR, V22, P53, DOI 10.1007/s40558-019-00164-z
   Filimonau V, 2020, INT J TOUR RES, V22, P202, DOI 10.1002/jtr.2329
   FONTOURA L., 2020, Rev. Acad. Obs. Inov. Tur, P16, DOI [10.17648/raoit.v14n4.6654, DOI 10.17648/RAOIT.V14N4.6654]
   Friedman T.L., 2020, The New York Times Online17 March
   Fugard AJB, 2015, INT J SOC RES METHOD, V18, P669, DOI 10.1080/13645579.2015.1005453
   Gabriel-Campos E, 2021, J HOSP TOUR MANAG, V48, P416, DOI 10.1016/j.jhtm.2021.07.016
   Gallego I, 2021, J SUSTAIN TOUR, V29, P1470, DOI 10.1080/09669582.2020.1773476
   Garau-Vadell JB, 2018, J DESTIN MARK MANAGE, V7, P68, DOI 10.1016/j.jdmm.2016.08.008
   Gössling S, 2021, J SUSTAIN TOUR, V29, P1, DOI 10.1080/09669582.2020.1758708
   Gursoy D, 2020, J HOSP MARKET MANAG, V29, P527, DOI 10.1080/19368623.2020.1788231
   Haleem A, 2020, AM J EMERG MED, V38, P1524, DOI 10.1016/j.ajem.2020.04.022
   Hall CM, 2020, TOURISM GEOGR, V22, P577, DOI 10.1080/14616688.2020.1759131
   Harwood IA, 2015, QUAL REP, V20, P1029
   Hateftabar F, 2020, J HOSP TOUR MANAG, V43, P157, DOI 10.1016/j.jhtm.2020.02.009
   Higgins-Desbiolles F, 2020, J SUSTAIN TOUR, V29, P551, DOI 10.1080/09669582.2020.1803334
   Higgins-Desbiolles F, 2019, J SUSTAIN TOUR, V27, P1926, DOI 10.1080/09669582.2019.1601732
   Higgins-Desbiolles F, 2018, TOUR MANAG PERSPECT, V25, P157, DOI 10.1016/j.tmp.2017.11.017
   Ikeji T, 2021, TOUR PLAN DEV, V18, P491, DOI 10.1080/21568316.2020.1807400
   Ioannides D, 2020, TOURISM GEOGR, V22, P624, DOI 10.1080/14616688.2020.1763445
   Jamaliah MM, 2018, J SUSTAIN TOUR, V26, P519, DOI 10.1080/09669582.2017.1360893
   Jarness V, 2018, EUR SOC, V20, P503, DOI 10.1080/14616696.2017.1371317
   Jeuring JHG, 2017, TOURISM GEOGR, V19, P118, DOI 10.1080/14616688.2016.1175024
   Joo D, 2021, J DESTIN MARK MANAGE, V19, DOI 10.1016/j.jdmm.2021.100553
   Jurado E.N., Propuestas de Reflexion Desde el Turismo Frente al COVID-19
   Kamata H, 2022, CURR ISSUES TOUR, V25, P134, DOI 10.1080/13683500.2021.1881452
   Kandula S, 2021, PUBLIC ORGAN REV, V21, P665, DOI 10.1007/s11115-021-00569-7
   Kim K, 2013, TOURISM MANAGE, V36, P527, DOI 10.1016/j.tourman.2012.09.005
   King C, 2021, CURR ISSUES TOUR, V24, P2784, DOI 10.1080/13683500.2021.1873920
   Ko DW, 2002, TOURISM MANAGE, V23, P521, DOI 10.1016/S0261-5177(02)00006-7
   Lama R., 2021, TOURISM DESTINATION, P233, DOI DOI 10.1177/09722629211043298
   Lee S, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000844
   Lee TH, 2019, TOURISM MANAGE, V70, P368, DOI 10.1016/j.tourman.2018.09.003
   Li T, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.138113
   Li Y, 2019, J DESTIN MARK MANAGE, V11, P260, DOI 10.1016/j.jdmm.2018.05.002
   McCartney G, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103130
   Mensah EA, 2023, TOUR PLAN DEV, V20, P37, DOI 10.1080/21568316.2021.1945674
   Mohajan H K., 2023, Journal of Economic Development, Environment and People, V12, P72
   MORSE JM, 1995, QUAL HEALTH RES, V5, P147, DOI 10.1177/104973239500500201
   Moshin A, 2020, J DESTIN MARK MANAGE, V18, DOI 10.1016/j.jdmm.2020.100503
   Muley D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187367
   Nian SF, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16122073
   Novotny A, 2015, AMFITEATRU ECON, V17, P615
   Bulent A, 2015, TOUR REV, V70, P232, DOI 10.1108/TR-09-2014-0053
   Paunovic I, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097307
   Paunovic I, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104066
   Postma A, 2017, J TOUR FUTURES, V3, P144, DOI 10.1108/JTF-04-2017-0022
   Prideaux B, 2020, TOURISM GEOGR, V22, P667, DOI 10.1080/14616688.2020.1762117
   Qiu RTR, 2020, ANN TOURISM RES, V84, DOI 10.1016/j.annals.2020.102994
   Lopez LJR, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010181
   Rasoolimanesh SM, 2017, TOURISM MANAGE, V60, P147, DOI 10.1016/j.tourman.2016.11.019
   Rasoolimanesh SM, 2015, TOUR MANAG PERSPECT, V16, P335, DOI 10.1016/j.tmp.2015.10.001
   Rasoolimanesh SM, 2016, J PLACE MANAG DEV, V9, P91, DOI 10.1108/JPMD-10-2015-0045
   Rather RA, 2021, CURR ISSUES TOUR, V24, P3275, DOI 10.1080/13683500.2021.1884666
   Rittichainuwat BN, 2009, TOURISM MANAGE, V30, P410, DOI 10.1016/j.tourman.2008.08.001
   Rivera M, 2021, INT J HOSP MANAG, V94, DOI 10.1016/j.ijhm.2020.102814
   Robina-Ramírez R, 2022, ENVIRON DEV SUSTAIN, V24, P6391, DOI 10.1007/s10668-021-01707-3
   Romagosa F, 2020, TOURISM GEOGR, V22, P690, DOI 10.1080/14616688.2020.1763447
   Romao J, 2020, ANN TOURISM RES, V84, DOI 10.1016/j.annals.2020.102995
   Saarinen J, 2019, CONTEMP GEOGR LEIS T, P15
   Saunders M.N.K., 2019, Research methods for business students, V8th ed.
   Abadi RSS, 2023, J POLICY RES TOUR LE, V15, P377, DOI 10.1080/19407963.2021.1943415
   Sharma GD, 2021, TOUR MANAG PERSPECT, V37, DOI 10.1016/j.tmp.2020.100786
   Sheller M, 2021, J SUSTAIN TOUR, V29, P1436, DOI 10.1080/09669582.2020.1791141
   Sigala M, 2020, J BUS RES, V117, P312, DOI 10.1016/j.jbusres.2020.06.015
   Sigala M, 2018, TOUR MANAG PERSPECT, V25, P151, DOI 10.1016/j.tmp.2017.12.003
   Sisneros-Kidd AM, 2019, J SUSTAIN TOUR, V27, P1259, DOI 10.1080/09669582.2019.1612905
   Stankov U, 2020, TOURISM GEOGR, V22, P703, DOI 10.1080/14616688.2020.1768432
   Sutcliffe K. M., 2003, Positive Organizational Scholarship: Foundations of a New Discipline, P94, DOI DOI 10.4324/9780429298974
   Tkaczynski A, 2015, J VACAT MARK, V21, P151, DOI 10.1177/1356766714567796
   Tourismo de Portugal Visao Geral Turismo de Portugal, ABOUT US
   Vargas-Sánchez A, 2011, ANN TOURISM RES, V38, P460, DOI 10.1016/j.annals.2010.10.004
   Wachyuni SS., 2020, Journal of Education, Society and Behavioural Science, V33, P67, DOI DOI 10.9734/JESBS/2020/V33I430219
   Wall G, 2018, TOUR RECREAT RES, V43, P390, DOI 10.1080/02508281.2018.1475880
   Weaver DB, 2022, J SUSTAIN TOUR, V30, P897, DOI 10.1080/09669582.2021.1903017
   Wen J, 2021, TOUR REV, V76, P74, DOI 10.1108/TR-03-2020-0110
   World Travel and Tourism Council, ABOUT US
   Wu MY, 2014, TOURISM MANAGE, V41, P96, DOI 10.1016/j.tourman.2013.09.010
   Yeh SS, 2021, TOUR RECREAT RES, V46, P188, DOI 10.1080/02508281.2020.1805933
   Zenker S, 2020, TOURISM MANAGE, V81, DOI 10.1016/j.tourman.2020.104164
   Igarza LMZ, 2019, AVANCES, V21, P394
NR 110
TC 3
Z9 3
U1 12
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2023
VL 15
IS 18
AR 13298
DI 10.3390/su151813298
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA FJ2K5
UT WOS:001145325700001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Lu, YM
   Ekeanyanwu, C
   Blanchard, D
AF Lu, Yongmei
   Ekeanyanwu, Chikodinaka (Nakki)
   Blanchard, Denise
TI Untangling the myth of flood risk and mitigation in affluent inland
   urban neighbourhood - A case study of the Onion Creek Neighbourhood in
   Austin, Texas
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Community resilience; Flood risk management; Flood mitigation; Urban
   floods; Relocation decision -making
ID INSURANCE; HOUSEHOLDS; INSIGHTS; JUSTICE
AB Floods pose significant threats to communities and homes, necessitating robust flood risk management to enhance community resilience. Plenty of research has confirmed that flood risk management and mitigation are often social and political issues where justice and equity must be examined (e.g. [1]). Onion Creek Neighbourhood (OCN) is a known flood-prone area and a highincome suburban neighbourhood in Austin, Texas. Through investigating the reasons behind the residents' continued habitation in or relocation to OCN, this research seeks to deepen our understanding about how affluence inland urban neighbourhoods respond to flood risk. Equipped with the 3-dimensional lens for examining behavior change in flood risk management [2], we argue that flood risk management and mitigation is as much a behavior change movement for these affluent urban communities as it is a justice and resource issue for some other communities. We collected data on OCN residents' perceptions, experiences, and behaviors related to flood risk, mitigation, and community resilience through an open-ended survey in 2021. The findings reveal diverse factors, such as lack of alternate akin housing options, attachment to the pleasant neighbourhood and environment, proximity to downtown Austin, and strong community ties, all of which create barriers for OCN residents to relocate out of the neighbourhood while sustaining their desires for comparable community and environment amenities. The study calls for tailored strategies and policies that account for residents' needs and preferences to mobilize communities for sustainable development and disaster preparedness in flood-prone areas like Onion Creek Neighbourhood.
C1 [Lu, Yongmei; Ekeanyanwu, Chikodinaka (Nakki); Blanchard, Denise] Texas State Univ, Dept Geog & Environm Studies, 601 Univ Dr, San Marcos, TX 78666 USA.
C3 Texas State University System; Texas State University San Marcos
RP Lu, YM (corresponding author), Texas State Univ, Dept Geog & Environm Studies, 601 Univ Dr, San Marcos, TX 78666 USA.
EM yl10@txstate.edu; cve9@txstate.edu; rb06@txstate.edu
RI Lu, Yongmei/GXV-4278-2022
OI Lu, Yongmei/0000-0003-1994-3458
CR Agonafir C, 2023, WATER SECUR, V19, DOI 10.1016/j.wasec.2023.100141
   [Anonymous], 2021, Storm events database
   Association of State Floodplain Managers, 1986, P 9 ANN C ASS STATE
   Atreya A, 2015, ECOL ECON, V117, P153, DOI 10.1016/j.ecolecon.2015.06.024
   Blanchard-Boehm RD, 2001, APPL GEOGR, V21, P199, DOI 10.1016/S0143-6228(01)00009-1
   Carolan MS, 2007, ENVIRON POLIT, V16, P36, DOI 10.1080/09644010601073507
   Chivers J, 2002, LAND ECON, V78, P515, DOI 10.2307/3146850
   City of Austin, Onion Creek Flood Risk Reduction
   City of Austin, 2017, Public Review Draft: City of Austin Land Development Code
   Collins TW, 2019, ENVIRON RES, V179, DOI 10.1016/j.envres.2019.108772
   Deegan M.A., 2009, Exploring U.S. Flood Mitigation Policies: A Feedback View of System Behavior
   Eakin H, 2021, CURR OPIN ENV SUST, V51, P1, DOI 10.1016/j.cosust.2021.01.001
   Eakin HC, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.743
   Greer A, 2022, HOUS POLICY DEBATE, V32, P152, DOI 10.1080/10511482.2021.1931930
   Hay I., 2000, QUALITATIVE RES METH
   Huber M., 2019, More Homes Fall in 100-year Flood Plain
   Kousky C, 2010, NAT HAZARDS REV, V11, P162, DOI 10.1061/(ASCE)NH.1527-6996.0000021
   Kuhlicke C, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1418
   Lindell M. K., 2003, Natural Hazards Review, V4, P176, DOI 10.1061/(ASCE)1527-6988(2005)6:4(171)
   Lindell MK, 2008, RISK ANAL, V28, P539, DOI 10.1111/j.1539-6924.2008.01032.x
   Mochizuki J, 2018, DISASTERS, V42, P361, DOI 10.1111/disa.12239
   Montgomery MC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/9/095010
   Montz B.E., 1992, Market Gatekeepers: Their Impact on Property Values Following Flooding in Liberty County, Texas, V66
   MUCKLESTON KW, 1983, WATER RESOUR BULL, V19, P1
   Prater C.S., 2000, Natural Hazards Review, V1, P73, DOI DOI 10.1061/(ASCE)1527-6988(2000)1:2(73)
   Riggs Russell W., 2004, P GILBERT F WHITE NA, P112
   Roth Sr J., 1998, Paying the price: The status and role of insurance against natural disasters in the United States
   Rözer V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/aca8bc
   Sandink D, 2016, CAN WATER RESOUR J, V41, P220, DOI 10.1080/07011784.2015.1040458
   Shao WY, 2017, WATER RES, V108, P391, DOI 10.1016/j.watres.2016.11.021
   Tate E, 2021, NAT HAZARDS, V106, P435, DOI 10.1007/s11069-020-04470-2
   Terpstra T, 2009, RISK ANAL, V29, P1141, DOI 10.1111/j.1539-6924.2009.01252.x
   Texas Real Estate Commission, TRECS LATEST M RESUL
   Walker G, 2011, CRIT SOC POLICY, V31, P216, DOI 10.1177/0261018310396149
   Weldon Kelli, 2014, Community Impact
NR 35
TC 1
Z9 1
U1 3
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD FEB 1
PY 2024
VL 101
AR 104237
DI 10.1016/j.ijdrr.2023.104237
EA JAN 2024
PG 9
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA IC7U1
UT WOS:001164198700001
DA 2025-04-22
ER

PT J
AU Hosseini, J
   Shakeryari, M
   Nejad, AN
   Mastalizadeh, H
   Maleki, M
   Wang, JY
   Rustum, R
   Rahmati, M
   Doostvandi, F
   Mostafavi, MA
AF Hosseini, Javad
   Shakeryari, Mojtaba
   Nejad, Amir Nazari
   Mastalizadeh, Hamed
   Maleki, Mohammad
   Wang, Junye
   Rustum, Rabee
   Rahmati, Mahdis
   Doostvandi, Fereshteh
   Mostafavi, Mir Abolfazl
TI Comparison of the Analytic Network Process and the Best-Worst Method in
   Ranking Urban Resilience and Regeneration Prioritization by Applying
   Geographic Information Systems
SO LAND
LA English
DT Article
DE MCDM methods; resilience; regeneration; urbanization; city
   decision-making; landscape planning
ID URBANIZATION; GIS; POLICY
AB Urbanization without planning causes concerns about biodiversity loss, congestion, housing, and ecosystem sustainability in developing countries. Therefore, resilience and regeneration following urbanization are critical to city planning and sustainable development. Integrating multi-criteria decision-making methods (MCDM) with geographic information systems (GIS) can be a promising method for analyzing city resilience and regeneration. This study aims to use two MCDMs, the Analytic Network Process (ANP) and the Best-Worst Method (BWM), to evaluate the resilience of metropolitan neighborhoods in Tehran. Fourteen criteria were selected to represent the city's resilience, and the weights of two models were evaluated for their spatial patterns using GIS. The results showed that the building age was the most important criterion in both methods, while the per capita green space was the least important criterion. The weights of the most important criterion, the building age, for the ANP and BWM, were 19.56 and 18.98, respectively, while the weights of the least important criterion, the per capita green space, were 2.197 and 1.655, respectively. Therefore, the MCDM with GIS provides an approach for assessing city resilience and regeneration priority.
C1 [Hosseini, Javad] Islamic Azad Univ, Dept Geog & Urban Planning, Tabriz Branch, Esfahan 3999881551, Iran.
   [Shakeryari, Mojtaba] Univ Tehran, Environm Sci, Tehran 1417935840, Iran.
   [Nejad, Amir Nazari] Islamic Azad Univ, Surveying Engn, Chalus 1477893855, Iran.
   [Mastalizadeh, Hamed] Univ Sistan & Baluchestan, Geog & Urban Planning, Zabul 9816745785, Iran.
   [Maleki, Mohammad] Kharazmi Univ, Remote Sensing & Geog Informat Syst, Tehran 1571914911, Iran.
   [Wang, Junye] Athabasca Univ, Fac Sci & Technol, Athabasca, AB T9S 3A3, Canada.
   [Rustum, Rabee] Heriot Watt Univ, Dubai Campus,POB 501745, Dubai, U Arab Emirates.
   [Rahmati, Mahdis] Islamic Azad Univ, Remote Sensing & Geog Informat Syst, Tehran 1148963537, Iran.
   [Doostvandi, Fereshteh] Razi Univ, Dept Geog, Kermanshah 6714414971, Iran.
   [Mostafavi, Mir Abolfazl] Univ Laval, Dept Geomat Sci, Quebec City, PQ G1V 0A6, Canada.
C3 Islamic Azad University; University of Tehran; Islamic Azad University;
   Kharazmi University; Athabasca University; Heriot Watt University;
   Islamic Azad University; Razi University; Laval University
RP Wang, JY (corresponding author), Athabasca Univ, Fac Sci & Technol, Athabasca, AB T9S 3A3, Canada.
EM javadhosseini.khuisf@gmail.com; mshakeryari@gmail.com;
   amirnazarinejad@gmail.com; hamed_iut.1986@yahoo.com;
   malekimohamad14@gmail.com; junyew@athabascau.ca; r.rustum@hw.ac.uk;
   mahdis.rahmati@srbiau.ac.ir; mir-abolfazl.mostafavi@scg.ulaval.ca
RI Mostafavi, Mir/B-2008-2008; Rustum, Rabee/AAF-4789-2020; Wang,
   Junye/AAG-6657-2019
OI Rustum, Rabee/0000-0001-6938-8144; Wang, Junye/0000-0001-5562-1400
FX We would like to thank Seyed Mohammad Haghighi Fard for the invaluable
   feedback about the AHP data.
CR Abdoli N, 2021, INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2021: TRANSPORTATION OPERATIONS, TECHNOLOGIES, AND SAFETY, P513
   Abjani F, 2023, ANN HUM BIOL, V50, P137, DOI 10.1080/03014460.2023.2170464
   Abshirini E., 2017, A| Z ITU Journal of the Faculty of Architecture, V14, P25, DOI [10.5505/itujfa.2017.65265, DOI 10.5505/ITUJFA.2017.65265]
   Aghmashhadi AH, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11030157
   Ahani M, 2019, INT J ENVIRON SCI TE, V16, P5447, DOI 10.1007/s13762-019-02335-1
   Ahmadi R., 2022, Open Access Library Journal, V9, P1, DOI [10.4236/oalib.1109176, DOI 10.4236/OALIB.1109176]
   [Anonymous], 2016, City Resilience Index: Understanding and Measuring City Resilience
   [Anonymous], 2020, International Migration 2020 Highlights
   [Anonymous], 2018, 68 WORLD POPULATION
   Apostu SA, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192215410
   Asadabadi Mehdi Rajabi, 2019, Cogent Engineering, V6, DOI 10.1080/23311916.2019.1623153
   Baharlou-Houreh N, 2023, INT J NUMER METHOD H, V33, P3940, DOI 10.1108/HFF-03-2023-0149
   Motlagh SHB, 2021, BUILD ENVIRON, V194, DOI 10.1016/j.buildenv.2021.107683
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bielinskas V, 2015, PROCEDIA ENGINEER, V122, P29, DOI 10.1016/j.proeng.2015.10.004
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Dhurkari RK, 2022, RAIRO-OPER RES, V56, P2221, DOI 10.1051/ro/2022060
   Doan T, 2019, CAN J REMOTE SENS, V45, P139, DOI 10.1080/07038992.2019.1608518
   Du JQ, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105458
   Durantini M, 2023, Ph.D. Thesis
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Ertana T, 2016, PROCD SOC BEHV, V223, P609, DOI 10.1016/j.sbspro.2016.05.362
   Falco GJ, 2015, PROCEDIA ENGINEER, V118, P1008, DOI 10.1016/j.proeng.2015.08.542
   Fard SMH, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052495
   Farhadikhah H, 2021, ENVIRON DEV SUSTAIN, V23, P2596, DOI 10.1007/s10668-020-00688-z
   Farzad Behtash M.R., 2013, Honar-Ha-Ye-Ziba Memary Va Shahrsazi, V18, P33
   Garajeh MK, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-56160-9
   Girard L.F., Sustainable City and Creativity: Promoting Creative Urban Initiatives, DOI [10.4324/9781315611464-13, DOI 10.4324/9781315611464-13]
   Goldenberg SZ, 2016, CURR BIOL, V26, P75, DOI 10.1016/j.cub.2015.11.005
   Gorji MA, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101565
   Guan XL, 2018, HABITAT INT, V71, P97, DOI 10.1016/j.habitatint.2017.11.009
   Haghshenas H, 2012, ECOL INDIC, V15, P115, DOI 10.1016/j.ecolind.2011.09.010
   Han Y, 2020, ISPRS INT GEO-INF, V9, DOI 10.3390/ijgi9020086
   Herrman H, 2011, CAN J PSYCHIAT, V56, P258, DOI 10.1177/070674371105600504
   Honey-Roses J., 2022, URBAN RESILIENCE PER, P45, DOI [10.1007/978-3-031-07301-4_3, DOI 10.1007/978-3-031-07301-4_3]
   Hurlimann A, 2014, LANDSCAPE URBAN PLAN, V126, P84, DOI 10.1016/j.landurbplan.2013.12.013
   Jamil S, 2020, JOURNAL PRACT, V14, P150, DOI 10.1080/17512786.2020.1725599
   Jasrotia AS, 2009, WATER RESOUR MANAG, V23, P3035, DOI 10.1007/s11269-009-9422-5
   Jia ZM, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21569-6
   Jinq LY, 2022, PROG NUCL ENERG, V149, DOI 10.1016/j.pnucene.2022.104252
   Kalniete S, 2021, European View, V20, P23, DOI DOI 10.1177/17816858211004648
   Kara C, 2023, LAND-BASEL, V12, DOI 10.3390/land12010072
   Karimi H., 2022, Computers in earth and environmental sciences, P235, DOI [10.1016/B978-0-323-89861-4.00030-0, DOI 10.1016/B978-0-323-89861-4.00030-0]
   Kasiri Z., 2020, Geogr. Environ. Plan, V31, P103
   Kaviani A., 2019, International Journal of Urban Management and Energy Sustainability, V1, P1
   Khankeh HR, 2021, VACCINES-BASEL, V9, DOI 10.3390/vaccines9111248
   Khosravian J, 2024, FRONT SUSTAIN CITIES, V6, DOI 10.3389/frsc.2024.1373331
   Kiambi S, 2018, AGR SYST, V167, P47, DOI 10.1016/j.agsy.2018.08.007
   Kordi F, 2022, REMOTE SENS APPL, V27, DOI 10.1016/j.rsase.2022.100812
   Korkmaz C, 2020, HABITAT INT, V95, DOI 10.1016/j.habitatint.2019.102081
   Lak A, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103410
   Lak A, 2020, J TOUR CULT CHANGE, V18, P386, DOI 10.1080/14766825.2019.1668002
   Lee G, 2017, J COASTAL RES, P209, DOI [10.2112/SI79-043.1, 10.2112/si79-043.1]
   Li Y, 2023, WATER-SUI, V15, DOI 10.3390/w15030480
   Lu PJ, 2023, LANDSCAPE URBAN PLAN, V238, DOI 10.1016/j.landurbplan.2023.104804
   Makinano-Santillan M, 2019, ISPRS ANN PHOTO REM, V4-3, P25, DOI 10.5194/isprs-annals-IV-3-W1-25-2019
   Maleki M., 2020, J. Geogr. Stud. Mountainous Areas, V3, P67
   Maleki M., 2018, J. RS GIS Nat. Resour, V9, P93
   Maleki M, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101506
   Maleki M, 2023, SPAT INF RES, V31, P537, DOI 10.1007/s41324-023-00520-6
   Maleki M, 2020, GEOGR TECH, V15, P93, DOI 10.21163/GT_2020.152.10
   Manalo JA, 2022, INT J CLIMATOL, V42, P850, DOI 10.1002/joc.7276
   Marques TA, 2013, BIOL REV, V88, P287, DOI 10.1111/brv.12001
   Masaeli N, 2023, APPL ENERG, V336, DOI 10.1016/j.apenergy.2023.120823
   Masaeli N, 2023, APPL THERM ENG, V222, DOI 10.1016/j.applthermaleng.2022.119950
   McLafferty SL, 2003, ANNU REV PUBL HEALTH, V24, P25, DOI 10.1146/annurev.publhealth.24.012902.141012
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   O'Donnell L, 2004, AM J COMMUN PSYCHOL, V33, P37, DOI 10.1023/B:AJCP.0000014317.20704.0b
   Rashidi M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15043264
   Rezaei J, 2016, OMEGA-INT J MANAGE S, V64, P126, DOI 10.1016/j.omega.2015.12.001
   Rezaei J, 2015, OMEGA-INT J MANAGE S, V53, P49, DOI 10.1016/j.omega.2014.11.009
   Rikalovic A, 2014, PROCEDIA ENGINEER, V69, P1054, DOI 10.1016/j.proeng.2014.03.090
   Robinson J, 2011, INT J URBAN REGIONAL, V35, P1, DOI 10.1111/j.1468-2427.2010.00982.x
   Romero-Lankao P, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121224
   Saaty TL, 2006, INT SER OPER RES MAN, V95, P1
   Sadidi J, 2016, J SETTL SPAT PLAN, V7, P201, DOI 10.19188/10JSSP022016
   Salimi M, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101948
   Gonçalves DNS, 2014, TRANSP RES PROC, V3, P876, DOI 10.1016/j.trpro.2014.10.066
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Shastri PC, 2013, INDIAN J PSYCHIAT, V55, P224, DOI 10.4103/0019-5545.117134
   Shen LY, 2011, HABITAT INT, V35, P17, DOI 10.1016/j.habitatint.2010.03.006
   Shenjun Yao, 2016, Annals of GIS, V22, P1, DOI 10.1080/19475683.2015.1085440
   Sirizi ME, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152015054
   Sun CG, 2008, COMPUT GEOTECH, V35, P436, DOI 10.1016/j.compgeo.2007.08.001
   Vijith H, 2019, GEOENVIRONMENTAL DIS, V6, DOI 10.1186/s40677-019-0124-x
   Wang JY, 2022, SCI TOTAL ENVIRON, V822, DOI 10.1016/j.scitotenv.2022.153559
   Wang XR, 2015, HABITAT INT, V47, P279, DOI 10.1016/j.habitatint.2015.02.001
   Yeh A.G., 1999, Geographical information systems, V2, P1
   Zabaniotou Anastasia, 2020, Glob Transit, V2, P116, DOI 10.1016/j.glt.2020.06.002
   Zhao LL, 2022, KSCE J CIV ENG, V26, P1505, DOI 10.1007/s12205-022-0251-x
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 91
TC 0
Z9 0
U1 6
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUL
PY 2024
VL 13
IS 7
AR 1008
DI 10.3390/land13071008
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ZS5G6
UT WOS:001277288600001
OA gold
DA 2025-04-22
ER

PT J
AU Atisa, G
   Racelis, AE
AF Atisa, George
   Racelis, Alexis E.
TI Analysis of Urbanization and Climate Change Effects on Community
   Resilience in the Rio Grande Valley, South Texas
SO SUSTAINABILITY
LA English
DT Article
DE urbanization; resilience; health; leverage points; intervention
ID LEVERAGE POINTS; CHALLENGES; FRAMEWORK; COLONIAS
AB Disruptive development events have tested and will continue to test community resilience as people work to balance healthy living, economic growth, and environmental quality. Aspects of urbanization, if not designed and guided by healthy living strategies, convert natural areas into built environments, thus reducing the diversity of plant and animal species that are the foundation of resilience in communities. In this study, we attempted to answer the following question: What are the most effective ways to ensure that ongoing urbanization and climate change do not negatively affect ecological services and community resilience in the Rio Grande Valley (RGV)? The region is experiencing a high urban growth rate and is also one of the poorest regions in Texas. Thus, it has an inadequate capacity to prevent or mitigate climate change-related threats and take advantage of opportunities associated with urbanization. Using qualitative analysis, we consulted existing literature to identify relevant leverage points that can help foster regional resilience capacity. The findings show that there are very strong leverage points that can produce cumulative desired resilience outcomes, but these have not been incorporated into policy and natural systems in the RGV.
C1 [Atisa, George] Univ Texas Rio Grande Valley, Dept Publ Affairs & Secur Studies, 1201 W Univ Dr, Edinburg, TX 78539 USA.
   [Racelis, Alexis E.] Univ Texas Rio Grande Valley, Sch Earth Environm & Marine Sci, 1201 W Univ Dr, Edinburg, TX 78539 USA.
C3 University of Texas System; University of Texas Rio Grande Valley;
   University of Texas System; University of Texas Rio Grande Valley
RP Atisa, G (corresponding author), Univ Texas Rio Grande Valley, Dept Publ Affairs & Secur Studies, 1201 W Univ Dr, Edinburg, TX 78539 USA.
EM george.atisa@utrgv.edu; alexis.racelis@utrgv.edu
FU University of Texas Rio Grande Valley, School for Earth Environmental
   and Marine Science
FX This research received no external funding And The APC was funded by the
   University of Texas Rio Grande Valley, School for Earth Environmental
   and Marine Science.
CR Abson DJ., 2017, AMBIO, V46, P30, DOI [10.1007/s13280-016-0800-y, DOI 10.1007/s13280-016-0800-y]
   Airhart-Larraga S., 2021, Journal of Professional Counseling: Practice, Theory Research, V48, P15, DOI DOI 10.1080/15566382.2020.1871260
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Andreoli F, 2021, J ECON INEQUAL, V19, P599, DOI 10.1007/s10888-020-09475-2
   Angheloiu C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102808
   [Anonymous], 2003, The 17 Goals
   [Anonymous], 2010, CITIES CLIMATE CHANG
   Arfanuzzaman M, 2019, GROWTH CHANGE, V50, P725, DOI 10.1111/grow.12297
   Atisa G., 2022, HDB HUMAN PLANETARY
   Baravikova A, 2021, EUR PLAN STUD, V29, P241, DOI 10.1080/09654313.2020.1729346
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dorninger C, 2020, ECOL ECON, V171, DOI 10.1016/j.ecolecon.2019.106570
   Durst NJ, 2014, ENVIRON PLANN A, V46, P1699, DOI 10.1068/a130038p
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Fischer J, 2019, PEOPLE NAT, V1, P115, DOI 10.1002/pan3.13
   Grineski SE, 2009, INT J SOCIOL SOC POL, V29, P287, DOI 10.1108/01443330910965813
   Guitart D, 2012, URBAN FOR URBAN GREE, V11, P364, DOI 10.1016/j.ufug.2012.06.007
   Hayes S, 2019, TRANSPORT REV, V39, P677, DOI 10.1080/01441647.2019.1612480
   Hecht A.D., 2007, SUSTAIN SCI PRACT PO, V3, P37
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   Hemmati M, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1e3c
   Huang Y., 2011, Applied Remote Sensing Journal, V2, P27
   Iturriza M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113054
   Jepson W, 2012, ANN ASSOC AM GEOGR, V102, P614, DOI 10.1080/00045608.2011.641897
   Kaika A, 2021, J AGRIC FOOD SYST CO, V10, P551, DOI 10.5304/jafscd.2021.102.030
   Komugabe-Dixson AF, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100973
   Lajoux A.R., 2022, GUIDE TOWNS CITIES C
   Lakanen L, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116534
   Lin BB, 2015, BASIC APPL ECOL, V16, P189, DOI 10.1016/j.baae.2015.01.005
   Linnér BO, 2021, SUSTAIN SCI, V16, P889, DOI 10.1007/s11625-021-00957-4
   Maedows D., 1999, LEVERAGE POINTS PLAC
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Messias DKH, 2017, PUBLIC HEALTH NURS, V34, P267, DOI 10.1111/phn.12307
   Narain V, 2021, INT J DISASTER RESIL, V12, P115, DOI 10.1108/IJDRBE-05-2020-0049
   Raoufi H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229698
   Rowe G, 2000, SCI TECHNOL HUM VAL, V25, P3, DOI 10.1177/016224390002500101
   Ryabov I, 2017, J BORDERL STUD, V32, P211, DOI 10.1080/08865655.2016.1195704
   Safárová B, 2021, HABITAT INT, V118, DOI 10.1016/j.habitatint.2021.102460
   Singh-Peterson L, 2017, LOCAL ENVIRON, V22, P568, DOI 10.1080/13549839.2016.1233953
   Swanstrom Todd., 2008, REGIONAL RESILIENCE
   United Nations, 2008, UN EXPERT GROUP M PO
   Varady RG, 2013, ENVIRON SCI POLICY, V26, P102, DOI 10.1016/j.envsci.2012.07.006
NR 42
TC 4
Z9 6
U1 0
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2022
VL 14
IS 15
AR 9049
DI 10.3390/su14159049
PG 15
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 3R5EQ
UT WOS:000838936200001
OA gold
DA 2025-04-22
ER

PT J
AU Bukvic, A
   Borate, A
   Hughes, S
   Weaver, R
   Imburgia, D
   Stiles, WA
AF Bukvic, Anamaria
   Borate, Aishwarya
   Hughes, Shereen
   Weaver, Ross
   Imburgia, David
   Stiles, William A.
TI Exploring neighborhood-level resilience to flooding: Why the context and
   scale matter
SO JOURNAL OF FLOOD RISK MANAGEMENT
LA English
DT Article
DE adaptation; coastal; flooding; resilience; sea level rise; vulnerability
ID COMMUNITY RESILIENCE; KNOWLEDGE COPRODUCTION; VULNERABILITY;
   SUSTAINABILITY; IMPACTS
AB This article explores the role of contextual neighborhood-level considerations in community resilience planning in coastal urban locations. A comparative case study analysis was conducted in three different locations in the City of Hampton, Virginia, that all share a common challenge of coastal flooding but have distinctly different neighborhood-level circumstances that shape their flood impacts and resilience building options. The research approach utilizes a co-production of knowledge and descriptive statistics to identify the overall flood risk and socioeconomic attributes of each locality that may influence broader citywide resilience investments within the realm of three overarching options: protection, accommodation, and relocation. It then applies a geospatial network analysis to determine which study neighborhoods will have significantly reduced access to critical facilities such as emergency services, medical facilities, and schools due to accelerated sea level rise as one of the key coastal hazards in this low-lying region. The results show that each case study location has its own unique contextual circumstances that define its preferences for different resilience strategies regardless of the actual flood risk. The results also highlight the importance of holistic assessment of granular conditions that play a critical role in prioritization of resource allocation and interventions in coastal municipalities.
C1 [Bukvic, Anamaria] Virginia Polytech Inst & State Univ, Coll Nat Resources, Dept Geog, 220 Stanger St, Blacksburg, VA 24061 USA.
   [Borate, Aishwarya] Virginia Polytech Inst & State Univ, Architecture Annex, Urban Affairs & Planning, Blacksburg, VA 24061 USA.
   [Hughes, Shereen; Weaver, Ross; Stiles, William A.] Wetlands Watch, Norfolk, VA USA.
   [Imburgia, David] City Hampton, Hampton, VA USA.
C3 Virginia Polytechnic Institute & State University; Virginia Polytechnic
   Institute & State University
RP Bukvic, A (corresponding author), Virginia Polytech Inst & State Univ, Coll Nat Resources, Dept Geog, 220 Stanger St, Blacksburg, VA 24061 USA.
EM ana.bukvic@vt.edu
OI Bukvic, Anamaria/0000-0001-7395-5383
FU Adiuvans foundation
FX Authors would like to thank all Virginia Tech graduate students and
   local partners who participated in 2017 Tidewater Collaboratory project
   titled Neighborhood Level Resilience in the City of Hampton, Virginia,
   conducted in collaboration with the City of Hampton officials, Wetlands
   Watch, Virginia Sea Grant, and the U.S. Green Building Council Hampton
   Roads Chapter and with funding from Adiuvans foundation.
CR ADAPTVA, 2018, VIRG SEA LEV EV BAS
   Ainuddin S., 2015, Int. J. Risk Assessment and Management, V18
   Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   [Anonymous], 2018, 086 NOAA NOS COOPS
   [Anonymous], 2018, STORM SURG OV
   [Anonymous], 2005, PROMOTING COMMUNITY, DOI DOI 10.1007/B102725
   [Anonymous], 2013, GEOLOGICAL SURVEY CI
   Arup, 2015, CIT RES IND UND MEAS
   Bekaert DPS, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-15309-5
   Boon J. D., 2018, ANTHR SEA LEVEL CHAN
   Cadag JRD, 2017, INT J DISAST RISK RE, V25, P72, DOI 10.1016/j.ijdrr.2017.07.016
   Campbell S., 2003, CASE STUDIES PLANNIN
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   Crum P., 2010, 116227018 KHA KIML H
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dewberry, 2018, AN HIST FUT HEAV PRE
   Dulal HB, 2017, LOCAL ENVIRON, V22, P106, DOI 10.1080/13549839.2016.1168790
   Emrich CT, 2011, WEATHER CLIM SOC, V3, P193, DOI 10.1175/2011WCAS1092.1
   Esri, 2019, TYP NETW AN LAYERS
   FEMA, 2016, NAT FLOOD INS PROGR, P1
   Flax L.K., 2002, Natural Hazards Review, V3, P163, DOI [10.1061/(ASCE)1527-6988(2002)3:4(163), DOI 10.1061/(ASCE)1527-6988(2002)3:4(163), 10.1061/(ASCE)1527-6988(2002)3:4(163, DOI 10.1061/(ASCE)1527-6988(2002)3:4(163]
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Heesen J, 2014, INT J DISAST RISK SC, V5, P74, DOI 10.1007/s13753-014-0014-5
   Hochrainer-Stigler S, 2020, J ENVIRON MANAGE, V276, DOI 10.1016/j.jenvman.2020.111332
   Ingolfsson A, 2008, HEALTH CARE MANAG SC, V11, P262, DOI 10.1007/s10729-007-9048-1
   Jacobs J. M., 2018, TRANSPORTATION RES R
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Karegar MA, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11544-y
   Kim H, 2014, COAST MANAGE, V42, P227, DOI 10.1080/08920753.2014.904188
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Link L.E., 2015, Building blocks for a national resilience assessment
   Mancini J.A., 2009, PATHWAYS HUMAN DEV, P245
   Matarrita-Cascante D, 2013, ENVIRON PLANN A, V45, P1387, DOI 10.1068/a45361
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   Mitchell Molly., 2013, Recurrent Flooding Study for Tidewater Virginia, DOI DOI 10.21220/V5TG79
   Moftakhari HR, 2017, EARTHS FUTURE, V5, P214, DOI 10.1002/2016EF000494
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Mutch C., 2016, SCH COMMUNITY J, V26, P115
   NAS National Academies of Sciences, 2012, DIS RES NAT IMP COMM
   NOAA, 2016, OFF COAST MAN SEA LE
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Oh K, 2007, LANDSCAPE URBAN PLAN, V82, P25, DOI 10.1016/j.landurbplan.2007.01.014
   Patel Sonny S, 2017, PLoS Curr, V9, DOI 10.1371/currents.dis.db775aff25efc5ac4f0660ad9c9f7db2
   Pohl C, 2010, SCI PUBL POLICY, V37, P267, DOI 10.3152/030234210X496628
   Samsel H., 2017, NATURAL DISASTERS IM
   Schipper E.L.F., 2015, COMP OVERVIEW RESILI
   Sempier T.T., 2010, COASTAL COMMUNITY RE
   Serre D, 2018, J FLOOD RISK MANAG, V11, pS69, DOI 10.1111/jfr3.12253
   Taylor FE, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103771
   Titus J. G., 2009, 41 US CLIM CHANG SCI, P320
   VDEM Virginia department of Emergency Management, 2018, HIST VIRG HURR
   Waggonner & Ball, 2018, LIV WAT HAMPT HOL AP
   Wang W, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-07979-0
   Waterway Surveys & Engineering Ltd., 2017, BUCKR BEACH SHOR EV
   Yin J, 2017, J HYDROL, V555, P648, DOI 10.1016/j.jhydrol.2017.10.067
   Zachry BC, 2015, WEATHER CLIM SOC, V7, P109, DOI 10.1175/WCAS-D-14-00049.1
NR 58
TC 3
Z9 6
U1 5
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1753-318X
J9 J FLOOD RISK MANAG
JI J. Flood Risk Manag.
PD JUN
PY 2021
VL 14
IS 2
AR e12698
DI 10.1111/jfr3.12698
EA MAR 2021
PG 15
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA RZ3ZW
UT WOS:000627161800001
OA Green Published
DA 2025-04-22
ER

PT J
AU Shuang, Q
   Liu, HJ
   Porse, E
AF Shuang, Qing
   Liu, Hui Jie
   Porse, Erik
TI Review of the Quantitative Resilience Methods in Water Distribution
   Networks
SO WATER
LA English
DT Review
DE water distribution networks; resilience; surrogate measures; simulation;
   network theory; fault detection and isolation
ID DISTRICT METERED AREAS; DISTRIBUTION-SYSTEMS; VULNERABILITY ASSESSMENT;
   GENETIC ALGORITHMS; COMPLEX NETWORK; OPTIMAL-DESIGN; ENTROPY; FRAMEWORK;
   RELIABILITY; OPTIMIZATION
AB Water distribution networks (WDNs) are critical contributors to the social welfare, economic growth, and public health in cities. Under the uncertainties that are introduced owing to climate change, urban development, aging components, and interdependent infrastructure, the WDN performance must be evaluated using continuously innovative methods and data acquisition. Quantitative resilience assessments provide useful information for WDN operators and planners, enabling support systems that can withstand disasters, recover quickly from outages, and adapt to uncertain environments. This study reviews contemporary approaches for quantifying the resilience of WDNs. 1508 journal articles published from 1950 to 2018 are identified under systematic review guidelines. 137 references that focus on the quantitative resilience methods of WDN are classified as surrogate measures, simulation methods, network theory approaches, and fault detection and isolation approaches. This study identifies the resilience capability of the WDNs and describes the related terms of absorptive, restorative, and adaptive capabilities. It also discusses the metrics, research progresses, and limitations associated with each method. Finally, this study indicates the challenges associated with the quantification of WDNs that should be overcome for achieving improved resilience assessments in the future.
C1 [Shuang, Qing; Liu, Hui Jie] Beijing Jiaotong Univ, Sch Econ & Management, Dept Construct Management, Beijing 100044, Peoples R China.
   [Porse, Erik] Calif State Univ, Off Water Programs, 6000 J St, Sacramento, CA 95819 USA.
   [Porse, Erik] Univ Calif Los Angeles, Inst Environm & Sustainabil, 619 Charles E Young Dr East,La Kretz Hall, Los Angeles, CA 90095 USA.
C3 Beijing Jiaotong University; California State University System;
   California State University Sacramento; University of California System;
   University of California Los Angeles
RP Shuang, Q (corresponding author), Beijing Jiaotong Univ, Sch Econ & Management, Dept Construct Management, Beijing 100044, Peoples R China.
EM qings@bjtu.edu.cn; 18120634@bjtu.edu.cn; erik.porse@owp.csus.edu
FU Beijing Social Sciences Foundation [18GLC070]; National Natural Science
   Foundation of China [71501008]; Fundamental Research Funds for the
   Central Universities [2019JBW007]; China Scholarship Council
   [201707095080]
FX This research was funded by Beijing Social Sciences Foundation (grant
   number 18GLC070), National Natural Science Foundation of China (grant
   number 71501008), the Fundamental Research Funds for the Central
   Universities (grant number 2019JBW007), and China Scholarship Council
   (grant number 201707095080).
CR Agathokleous A, 2017, WATER RESOUR MANAG, V31, P4007, DOI 10.1007/s11269-017-1721-7
   Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   Alvisi S, 2014, URBAN WATER J, V11, P137, DOI 10.1080/1573062X.2013.768681
   [Anonymous], 2012, TURN HEAT WHY 4 C WA
   [Anonymous], 2001, PANARCHY UNDERSTANDI
   [Anonymous], URBAN WATER SUPPLY H
   [Anonymous], EARTHQUAKE DAMAGE WA
   [Anonymous], WATER SUI
   [Anonymous], 1996, P 4 JAPAN US WORKSHO
   [Anonymous], Disaster Resilience
   [Anonymous], 2015, Principles for Building Resilience: Sustaining Ecosystem Services in Social-Ecological Systems, DOI 10.1017/CBO9781316014240
   [Anonymous], 1996, ENG ECOLOGICAL CONST
   [Anonymous], P INT C IND ENG OP M
   [Anonymous], 2002, Effects of water age on distribution system water quality
   [Anonymous], PHYS REV E
   [Anonymous], P IEEE S INF VIS SEA
   [Anonymous], WATER SUI
   [Anonymous], 1917, Sun
   ARIMAN T, 1981, EARTHQUAKE ENG STRUC, V9, P133, DOI 10.1002/eqe.4290090204
   AWUMAH K, 1991, J HYDRAUL ENG, V117, P595, DOI 10.1061/(ASCE)0733-9429(1991)117:5(595)
   Aydin NY, 2014, WATER RESOUR MANAG, V28, P4373, DOI 10.1007/s11269-014-0757-1
   Baggio JA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07484-200202
   Baños R, 2011, WATER RESOUR MANAG, V25, P2351, DOI 10.1007/s11269-011-9812-3
   Bello O, 2019, WATER-SUI, V11, DOI 10.3390/w11030562
   Bi WW, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000649
   Bowler Diana E, 2010, BMC Public Health, V10, P456, DOI 10.1186/1471-2458-10-456
   Bozorg-Haddad O, 2016, J PIPELINE SYST ENG, V7, DOI 10.1061/(ASCE)PS.1949-1204.0000231
   Bristow EC, 2013, J WATER RES PL, V139, P376, DOI 10.1061/(ASCE)WR.1943-5452.0000283
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Buzna L, 2007, PHYS REV E, V75, DOI 10.1103/PhysRevE.75.056107
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chang SE, 2014, RISK ANAL, V34, P416, DOI 10.1111/risa.12133
   Chappin E.J. L., 2011, SIMULATING ENERGY TR
   Chen C., 2014, The CiteSpace manual
   Chen CM, 2010, J AM SOC INF SCI TEC, V61, P1386, DOI 10.1002/asi.21309
   Chen CM, 2004, P NATL ACAD SCI USA, V101, P5303, DOI 10.1073/pnas.0307513100
   Chen CM, 1999, INFORM PROCESS MANAG, V35, P401, DOI 10.1016/S0306-4573(98)00068-5
   Chen CM, 2001, COMPUTER, V34, P65, DOI 10.1109/2.910895
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001433
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cimorelli L, 2018, WATER RESOUR MANAG, V32, P3997, DOI 10.1007/s11269-018-2032-3
   Clinton W.J., 1996, Federal Register, V61, P37347
   Creaco E, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000656
   Cugueró-Escofet MA, 2016, J HYDROINFORM, V18, P831, DOI 10.2166/hydro.2016.218
   Cugueró-Escofet MA, 2016, CONTROL ENG PRACT, V49, P159, DOI 10.1016/j.conengprac.2015.11.005
   DEERWESTER S, 1990, J AM SOC INFORM SCI, V41, P391, DOI 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
   Di Nardo Armando, 2017, Appl Netw Sci, V2, P19, DOI 10.1007/s41109-017-0033-4
   Di Nardo A, 2018, WATER SCI TECH-W SUP, V18, P767, DOI 10.2166/ws.2017.124
   Di Nardo A, 2014, J WATER RES PLAN MAN, V140, P620, DOI 10.1061/(ASCE)WR.1943-5452.0000364
   Di Nardo A, 2013, WATER RESOUR MANAG, V27, P4493, DOI 10.1007/s11269-013-0421-1
   Di Nardo A, 2011, ENG OPTIMIZ, V43, P193, DOI 10.1080/03052151003789858
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Dueñas-Osorio L, 2007, EARTHQ ENG STRUCT D, V36, P285, DOI 10.1002/eqe.626
   Dueñas-Osorio L, 2009, STRUCT SAF, V31, P157, DOI 10.1016/j.strusafe.2008.06.007
   Dunning T., 1993, Computational Linguistics, V19, P61
   Eliades DG, 2012, J HYDROINFORM, V14, P992, DOI 10.2166/hydro.2012.109
   Eliades DG, 2012, J WATER RES PLAN MAN, V138, P562, DOI 10.1061/(ASCE)WR.1943-5452.0000203
   Eliades DG, 2010, IEEE T CONTR SYST T, V18, P1254, DOI 10.1109/TCST.2009.2035515
   Everard M, 2018, SCI TOTAL ENVIRON, V612, P1249, DOI 10.1016/j.scitotenv.2017.08.308
   Farahmandfar Z, 2018, J PIPELINE SYST ENG, V9, DOI 10.1061/(ASCE)PS.1949-1204.0000293
   Farahmandfar Z, 2017, J PIPELINE SYST ENG, V8, DOI 10.1061/(ASCE)PS.1949-1204.0000251
   Farley M., 2001, LEAKAGE MANAGEMENT C
   Frank E., 1999, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Gheisi A, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000690
   Gheisi A, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000529
   Giustolisi O, 2012, J WATER RES PLAN MAN, V138, P356, DOI 10.1061/(ASCE)WR.1943-5452.0000187
   Giustolisi O, 2010, URBAN WATER J, V7, P1, DOI 10.1080/15730620903287530
   Greco R, 2012, J HYDROINFORM, V14, P761, DOI 10.2166/hydro.2012.037
   Gupta A, 2018, WATER RESOUR MANAG, V32, DOI 10.1007/s11269-018-1985-6
   Hagos M, 2016, J HYDROINFORM, V18, P741, DOI 10.2166/hydro.2016.170
   Haimes Y.Y., 1998, Journal of Infrastructure Systems, V4, P164, DOI DOI 10.1061/(ASCE)1076-0342(1998)4:4(164)
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Hayuti MH, 2007, P I CIVIL ENG-WAT M, V160, P215, DOI 10.1680/wama.2007.160.4.215
   Herrera M, 2016, WATER RESOUR MANAG, V30, P1685, DOI 10.1007/s11269-016-1245-6
   Hines P, 2010, CHAOS, V20, DOI 10.1063/1.3489887
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CrawfordS., 1979, STUDIES CRISIS MANAG, P97
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Islam MS, 2014, J WATER RES PLAN MAN, V140, P468, DOI 10.1061/(ASCE)WR.1943-5452.0000349
   Jayaram N, 2008, WATER RESOUR RES, V44, DOI 10.1029/2006WR005316
   Jensen HA, 2018, RELIAB ENG SYST SAFE, V176, P80, DOI 10.1016/j.ress.2018.04.001
   Jeong G, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000792
   Jeong HS, 2006, COMPUT-AIDED CIV INF, V21, P79, DOI 10.1111/j.1467-8667.2005.00419.x
   Jun H, 2007, J WATER RES PLAN MAN, V133, P145, DOI 10.1061/(ASCE)0733-9496(2007)133:2(145)
   Jung D, 2014, J WATER RES PLAN MAN, V140, DOI 10.1061/(ASCE)WR.1943-5452.0000421
   Kajikawa Y, 2007, SUSTAIN SCI, V2, P221, DOI 10.1007/s11625-007-0027-8
   Klise KA, 2017, ENVIRON MODELL SOFTW, V95, P420, DOI 10.1016/j.envsoft.2017.06.022
   Lambrou TP, 2014, IEEE SENS J, V14, DOI 10.1109/JSEN.2014.2316414
   Laucelli D, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000478
   Laucelli D, 2012, ENVIRON MODELL SOFTW, V37, P206, DOI 10.1016/j.envsoft.2012.04.004
   [李宏男 LI Hongnan], 2008, [建筑结构学报, Journal of Building Structures], V29, P10
   Li RA, 2019, WATER RES, V153, P335, DOI 10.1016/j.watres.2019.01.020
   Liang HK, 2020, INT J OCCUP SAF ERGO, V26, P469, DOI 10.1080/10803548.2018.1444565
   Lin HY, 2015, INT J ENVIRON SCI TE, V12, P2687, DOI 10.1007/s13762-014-0666-0
   Little RG, 2002, J URBAN TECHNOL, V9, P109, DOI 10.1080/106307302317379855
   Liu HX, 2014, WATER RESOUR RES, V50, P5597, DOI 10.1002/2013WR014882
   Liu J, 2013, J WATER RES PL-ASCE, V139, P34, DOI 10.1061/(ASCE)WR.1943-5452.0000227
   Mala-Jetmarova H, 2017, ENVIRON MODELL SOFTW, V93, P209, DOI 10.1016/j.envsoft.2017.02.009
   Mao Q, 2018, NAT HAZARDS, V93, P315, DOI 10.1007/s11069-018-3302-3
   Mehran A, 2015, J GEOPHYS RES-ATMOS, V120, P7520, DOI 10.1002/2015JD023147
   Meirelles G, 2018, WATER-SUI, V10, DOI 10.3390/w10060693
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   Mugume SN, 2015, WATER SCI TECH-W SUP, V15, P1343, DOI 10.2166/ws.2015.098
   Murray V, 2012, J EPIDEMIOL COMMUN H, V66, P759, DOI 10.1136/jech-2012-201045
   Nazif S, 2009, J WATER RES PLAN MAN, V135, P244, DOI 10.1061/(ASCE)0733-9496(2009)135:4(244)
   Ng AY, 2002, ADV NEUR IN, V14, P849
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Ouyang M, 2013, CHAOS, V23, DOI 10.1063/1.4807478
   Ouyang M, 2012, CHAOS, V22, DOI 10.1063/1.4737204
   Padrón RS, 2017, WATER RESOUR RES, V53, P9659, DOI 10.1002/2017WR021215
   Pagani GA, 2013, PHYSICA A, V392, P2688, DOI 10.1016/j.physa.2013.01.023
   Perez R., 2009, Water Science and Technology: Water Supply, V9, P715, DOI 10.2166/ws.2009.372
   Pérez R, 2014, IEEE CONTR SYST MAG, V34, P24, DOI 10.1109/MCS.2014.2320336
   Plummer R, 2012, WATER RESOUR MANAG, V26, P4327, DOI 10.1007/s11269-012-0147-5
   Plummer R, 2012, ECOL SOC, V17, DOI 10.5751/ES-04952-170311
   Prasad TD, 2004, J WATER RES PLAN MAN, V130, P73, DOI 10.1061/(ASCE)0733-9496(2004)130:1(73)
   Pullin AS, 2006, CONSERV BIOL, V20, P1647, DOI 10.1111/j.1523-1739.2006.00485.x
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Quinteiro P, 2018, INT J LIFE CYCLE ASS, V23, P164, DOI 10.1007/s11367-017-1304-0
   Raad DN, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR007785
   Rahmani F, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(ASCE)WR.1943-5452.0000941, 10.1061/(asce)wr.1943-5452.0000941]
   Saleh S, 2016, WATER RESOUR MANAG, V30, P1885, DOI 10.1007/s11269-016-1253-6
   SALTON G, 1975, COMMUN ACM, V18, P613, DOI 10.1145/361219.361220
   Santonastaso GF, 2018, ENTROPY-SWITZ, V20, DOI 10.3390/e20020095
   Sarbu I, 2016, URBAN WATER J, V13, P521, DOI 10.1080/1573062X.2014.994007
   Schvaneveldt R.W. )., 1990, Pathfinder Associative Networks: Studies in Knowledge Organization
   Sela L, 2018, ADV ENG INFORM, V36, P55, DOI 10.1016/j.aei.2018.02.004
   Sheng N, 2013, CHAOS, V23, DOI 10.1063/1.4823803
   Shi JB, 2000, IEEE T PATTERN ANAL, V22, P888, DOI 10.1109/34.868688
   Shin S, 2018, WATER-SUI, V10, DOI 10.3390/w10020164
   Shinstine DS, 2002, J WATER RES PL-ASCE, V128, P140, DOI 10.1061/(ASCE)0733-9496(2002)128:2(140)
   Shuang Q, 2017, WATER-SUI, V9, DOI 10.3390/w9060413
   Shuang Q, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088445
   Shuang Q, 2014, RELIAB ENG SYST SAFE, V124, P132, DOI 10.1016/j.ress.2013.12.002
   Soh H, 2010, PHYSICA A, V389, P5852, DOI 10.1016/j.physa.2010.08.015
   Soltanjalili MJ, 2013, J WATER RES PLAN MAN, V139, P644, DOI 10.1061/(ASCE)WR.1943-5452.0000315
   Suribabu CR, 2017, APPL WATER SCI, V7, P4055, DOI 10.1007/s13201-017-0560-2
   Tanyimboh TT, 2018, WATER RESOUR MANAG, V32, DOI 10.1007/s11269-018-1994-5
   Tanyimboh TT, 2018, WATER RESOUR MANAG, V32, P2569, DOI 10.1007/s11269-017-1888-y
   Tanyimboh TT, 2017, WATER RESOUR MANAG, V31, P3189, DOI 10.1007/s11269-017-1684-8
   Tanyimboh TT, 2016, WATER RESOUR MANAG, V30, P3535, DOI 10.1007/s11269-016-1369-8
   TANYIMBOH TT, 1993, CIVIL ENG SYST, V10, P243, DOI 10.1080/02630259308970126
   TANYIMBOH TT, 1993, J OPER RES SOC, V44, P383, DOI 10.1057/jors.1993.68
   Todini E., 2000, Urban Water, V2, P115, DOI [10.1016/S1462-0758, DOI 10.1016/S1462-0758, 10.1016/S1462-0758(00)00049-2, DOI 10.1016/S1462-0758(00)00049-2, 10.1016/s1462-0758(00)00049-2]
   Tolson BA, 2004, J WATER RES PL-ASCE, V130, P63, DOI 10.1061/(ASCE)0733-9496(2004)130:1(63)
   Tsai FTC, 2009, WATER RESOUR MANAG, V23, P1497, DOI 10.1007/s11269-008-9338-5
   von Luxburg U, 2007, STAT COMPUT, V17, P395, DOI 10.1007/s11222-007-9033-z
   Walker B, 2004, ECOL SOC, V9
   Wang Q, 2015, WATER RESOUR MANAG, V29, P1, DOI 10.1007/s11269-014-0823-8
   Woodruff Sierra C., 2016, Nature Climate Change, V6, P796, DOI 10.1038/nclimate3012
   Wright R, 2014, J HYDROINFORM, V16, P1280, DOI 10.2166/hydro.2014.086
   Wu WY, 2011, J WATER RES PL-ASCE, V137, P542, DOI 10.1061/(ASCE)WR.1943-5452.0000138
   Xu L, 2018, SUSTAIN SCI, V13, P235, DOI 10.1007/s11625-017-0487-4
   Xu L, 2013, SCIENTOMETRICS, V96, P911, DOI 10.1007/s11192-013-0957-0
   Xu Q, 2014, J ENVIRON SCI, V26, P955, DOI 10.1016/S1001-0742(13)60569-0
   Yazdani A, 2011, ENVIRON MODELL SOFTW, V26, P1574, DOI 10.1016/j.envsoft.2011.07.016
   Yazdani A, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR011897
   Yazdi J, 2016, WATER RESOUR MANAG, V30, P2749, DOI 10.1007/s11269-016-1320-z
   Zarghami SA, 2018, RELIAB ENG SYST SAFE, V176, P102, DOI 10.1016/j.ress.2018.04.003
   Zhao XD, 2016, STRUCT INFRASTRUCT E, V12, P1634, DOI 10.1080/15732479.2016.1157609
   Zhao XD, 2015, MATH PROBL ENG, V2015, DOI 10.1155/2015/438063
   Zheng FF, 2014, WATER RESOUR RES, V50, P3650, DOI 10.1002/2013WR014143
   Zhuang BY, 2013, J HYDRAUL ENG, V139, P527, DOI 10.1061/(ASCE)HY.1943-7900.0000676
   Zimmerman R, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000394
   Zoppou C, 2001, ENVIRON MODELL SOFTW, V16, P195, DOI 10.1016/S1364-8152(00)00084-0
NR 168
TC 40
Z9 47
U1 7
U2 120
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUN
PY 2019
VL 11
IS 6
AR 1189
DI 10.3390/w11061189
PG 27
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA II7BC
UT WOS:000475346300077
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Fu, XF
   Liu, Y
   Xie, ZQ
   Jiang, FS
   Xu, JR
   Yang, ZB
   Deng, ZT
   Wang, QS
   Liao, MF
   Wu, XD
   Wang, ZH
   Du, QY
AF Fu, Xingfeng
   Liu, Yun
   Xie, Zhiqiang
   Jiang, Fengshan
   Xu, Jiarui
   Yang, Zhibing
   Deng, Zhanting
   Wang, Qisheng
   Liao, Mengfan
   Wu, Xiaodong
   Wang, Zhanhui
   Du, Qingyun
TI A coupled PSR-based framework for holistic modeling and flood resilience
   assessment: A case study of the 2022 flood events in five southern
   provinces of China
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Flood resilience; Sustainable development; PSR; VIKOR; Evaluation
   framework; GIS
ID URBAN RESILIENCE; ADAPTATION; INDICATORS; EXTREME; INDEX
AB In the context of global climate change, the increasing frequency of extreme weather events has led to increasingly severe disaster situations. Traditional disaster management approaches are inadequate for addressing these challenges; thus, the concept of resilience has gradually been integrated into disaster management strategies. This study addresses this gap by developing a semi-quantitative evaluation framework for flood resilience on a large, regional scale. This framework combines the Pressure-State-Response (PSR) model with a dynamic representation of flood resilience processes, incorporating pre-disaster resistance, during-disaster absorption, and post-disaster recovery. A comprehensive regional flood resilience index system (RFRI) is constructed to provide a holistic assessment of flood resilience throughout the disaster cycle. This study quantified flood resilience and utilized Geographic Information System spatial analysis to evaluate the spatial patterns of flood resilience at the municipal level. The evaluation framework was applied to a real flood disaster that affected five southern provinces of China in 2022. The results indicate that: (1) The overall flood resilience levels in the five southern provinces were relatively low, with only 6% of the units having a Flood Resilience Index (FRI) exceeding 0.6; and (2) in terms of pre-disaster resistance, 74% of municipalities in the five southern provinces of China exhibited a moderate or higher level of resilience. However, the overall performance of these provinces is relatively poor in terms of absorption during disasters and post-disaster recovery; (3) The development of flood resilience systems in the five provinces was severely imbalanced, with only two municipal-level cities having an FRI above 0.8, both of which are located in Guangdong Province. The evaluation framework established in this study enables rapid and accurate quantitative assessment of flood resilience at the municipal level. It aids in identifying deficiencies in the flood resilience systems of various regions, thereby strengthening efforts to build flood resilience.
C1 [Fu, Xingfeng; Liu, Yun; Xie, Zhiqiang; Jiang, Fengshan; Deng, Zhanting; Wang, Qisheng; Liao, Mengfan] Yunnan Univ, Coll Earth Sci, Kunming 650500, Peoples R China.
   [Xu, Jiarui; Yang, Zhibing] Yunnan Univ, Int Inst River & Ecol Secur, Kunming 650500, Peoples R China.
   [Wu, Xiaodong] Kunming Engn Corp Ltd, Kunming 650051, Peoples R China.
   [Wang, Zhanhui] Southern Surveying & Mapping Kunming Branch, Kunming 650100, Peoples R China.
   [Du, Qingyun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
C3 Yunnan University; Yunnan University; Wuhan University
RP Xie, ZQ (corresponding author), Yunnan Univ, Coll Earth Sci, Kunming 650500, Peoples R China.
EM xzq_2019@ynu.edu.cn
RI Zhang, Xitian/AAX-5010-2021; Fu, Xingfeng/LNP-5549-2024
FU National Natural Science Foundation of China [72361035]; Changjiang
   River Scientific Research Institute Open Research Program
   [CKWV20221029/KY]; Yunnan Provincial Graduate Education Integration and
   Training Base Construction Project, Science and Technology Plan Project
   of Yunnan Provincial Department of Housing and Urban-Rural Development
   [K00000135]
FX This research was supported by several grants: National Natural Science
   Foundation of China (Grant No.72361035) , Changjiang River Scientific
   Research Institute Open Research Program (Grant No. CKWV20221029/KY) ,
   Yunnan Provincial Graduate Education Integration and Training Base
   Construction Project, Science and Technology Plan Project of Yunnan
   Provincial Department of Housing and Urban-Rural Development (Grant
   No.K00000135) . We would like to express our gratitude to Guangzhou
   South Surveying & Mapping Instrument Co., Ltd. (SOUTH) for their support
   during the writing of this paper.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alexander M, 2016, ENVIRON SCI POLICY, V64, P38, DOI 10.1016/j.envsci.2016.06.004
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Arduino G, 2005, HYDROL EARTH SYST SC, V9, P280, DOI 10.5194/hess-9-280-2005
   Batica J., 2013, INT C FLOOD RES EXP
   Battjes JA, 2002, PHILOS T R SOC A, V360, P1461, DOI 10.1098/rsta.2002.1010
   Bautista-Puig N., 2022, Cities, V126, DOI [10.1016/j.cities.2022.103715, DOI 10.1016/J.CITIES.2022.103715]
   Beccari B., 2016, PLOS CURR-TREE LIFE, V8, DOI [10.1371/currents.dis.453df025-34b682e9737f95070f9b970, DOI 10.1371/CURRENTS.DIS.453DF025-34B682E9737F95070F9B970]
   Beillouin D, 2022, GLOBAL CHANGE BIOL, V28, P1690, DOI 10.1111/gcb.15998
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bhutta ZA, 2022, LANCET, V400, P1287, DOI 10.1016/S0140-6736(22)01874-8
   Bie ZH, 2017, P IEEE, V105, P1253, DOI 10.1109/JPROC.2017.2679040
   Botkin DB, 2007, BIOSCIENCE, V57, P227, DOI 10.1641/B570306
   Brand FS, 2007, ECOL SOC, V12
   Bruneau M, 2006, J APPL SEC RES, V1, P159, DOI 10.1300/J460v01n04_14
   Chen JX, 2023, J HYDROL, V620, DOI 10.1016/j.jhydrol.2023.129397
   [程晓陶 Cheng Xiaotao], 2022, [水利学报, Journal of Hydraulic Engineering], V53, P757
   Costello A, 2009, LANCET, V373, P1693, DOI [10.1016/S0140-6736(09)60935-1, 10.1016/S0140-6736(09)60929-6]
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Davydov Roman, 2018, MATEC Web of Conferences, V245, DOI 10.1051/matecconf/201824515002
   Department for International Development. United Kingdom, 1999, SUST LIV GUID SHEETS
   Dhiman R, 2019, APPL WATER SCI, V9, DOI 10.1007/s13201-018-0881-9
   Felgenhauer T, 2013, GLOBAL ENVIRON CHANG, V23, P1556, DOI 10.1016/j.gloenvcha.2013.09.018
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Guo YP, 1999, WATER RESOUR RES, V35, P2457, DOI 10.1029/1999WR900125
   Han JY, 2023, EARTH SYST SCI DATA, V15, P3147, DOI 10.5194/essd-15-3147-2023
   Hegger DLT, 2016, ECOL SOC, V21, DOI 10.5751/ES-08854-210452
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Johannessen Å, 2017, ECOL SOC, V22, DOI 10.5751/ES-08870-220101
   Jongman B, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04396-1
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kreibich H, 2017, EARTHS FUTURE, V5, P953, DOI 10.1002/2017EF000606
   Kundzewicz ZW, 2020, EARTH-SCI REV, V211, DOI 10.1016/j.earcirev.2020.103434
   Li L, 2020, HYDROL EARTH SYST SC, V24, P771, DOI 10.5194/hess-24-771-2020
   Manzanedo RD, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140563
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Ministry of Emergency Management of the People's Republic of China Ministry of Emergency Management of the People's Republic of China, 2023, Top 10 Natural Disasters in China in 2022
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   MORAN PAP, 1948, J ROY STAT SOC B, V10, P243
   Opricovic S, 2004, EUR J OPER RES, V156, P445, DOI 10.1016/s0377-2217(03)00020-1
   Opricovic S., 1998, Faculty Civil Eng, DOI DOI 10.3846/TEDE.2010.01
   Peng JB, 2023, J HYDROL-REG STUD, V47, DOI 10.1016/j.ejrh.2023.101384
   PETERS RL, 1990, FOREST ECOL MANAG, V35, P13, DOI 10.1016/0378-1127(90)90229-5
   Rezende OM, 2019, WATER-SUI, V11, DOI 10.3390/w11071485
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Rözer V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/aca8bc
   Saaty T.L., 1988, What Is the Analytic Hierarchy Process
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Song CQ, 2022, EARTH SYST SCI DATA, V14, P4017, DOI 10.5194/essd-14-4017-2022
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tan X., 1995, Stat. Res., V3, P46, DOI [10.19343/j.cnki.11-1302/c.1995.03.011, DOI 10.19343/J.CNKI.11-1302/C.1995.03.011]
   The United Nations International Strategy for Disaster Reduction (UNISDR) U., 2009, Terminology on disaster risk reduction
   Tiggeloven T, 2020, NAT HAZARD EARTH SYS, V20, P1025, DOI 10.5194/nhess-20-1025-2020
   Tu Y, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103766
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   Wang Q, 2019, J CLEAN PROD, V206, P171, DOI 10.1016/j.jclepro.2018.09.057
   Wang ZL, 2015, J HYDROL, V527, P1130, DOI 10.1016/j.jhydrol.2015.06.008
   Wu JS, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64113-1
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Zhang Q, 2017, J HYDROL, V552, P732, DOI 10.1016/j.jhydrol.2017.07.039
   Zheng JX, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128911
   Zhu SY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109959
   Zhu SY, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102355
NR 72
TC 8
Z9 8
U1 63
U2 96
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD JUN
PY 2024
VL 636
AR 131255
DI 10.1016/j.jhydrol.2024.131255
EA MAY 2024
PG 17
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA TF6T1
UT WOS:001239893800001
DA 2025-04-22
ER

PT J
AU Zhang, DS
   Yao, MQ
   Chen, YY
   Liu, YJ
AF Zhang, Deshun
   Yao, Manqing
   Chen, Yingying
   Liu, Yujia
TI The Role of Urban Vegetation in Mitigating Fire Risk Under Climate
   Change: A Review
SO SUSTAINABILITY
LA English
DT Review
DE fire resistance; landscape plant; urban greening; fire spread; fire
   prevention and disaster reduction
ID FOREST-FIRE; SURFACE FIRE; FLAMMABILITY; INTERFACE; FUEL; TREE;
   LANDSCAPE; MORTALITY; KINETICS
AB The confluence of global warming, the urban heat island effect, and alterations in the nature of underlying surfaces has led to a continuous escalation in the frequency, scale, and intensity of fires within urban green spaces. Mitigating or eliminating the adverse effects of such fires on the service functions of urban ecosystems, while enhancing the resilience of urban greening systems in disaster prevention and risk reduction, has become a pivotal challenge in modern urban development and management. Academic focus has progressively broadened from isolated urban and forest domains to encompass the more intricate environments of the Wildland-Urban Interface (WUI) and urban-suburban forests, with a particular emphasis on the distinctive characteristics of urban greening and in-depth research. This study employs a combination of CiteSpace bibliometric analysis and a narrative literature review to comprehensively examine three critical aspects of urban fire safety as follows: (1) the evaluation of the fire-resistant performance of landscape plants in urban green spaces; (2) the mechanisms of fire behavior in urban greening systems; and (3) the assessment and prediction of urban fire risks. Our findings indicate that landscape plants play a crucial role in controlling the spread of fires in urban green spaces by providing physical barriers and inhibiting combustion processes, thereby mitigating fire propagation. However, the diversity and non-native characteristics of urban greenery species present challenges. The existing research lacks standardized experimental indicators and often focuses on single-dimensional analyses, leading to conclusions that are limited, inconsistent, or even contradictory. Furthermore, most current fire spread models are designed primarily for forests and wildland-urban interface (WUI) regions. Empirical and semi-empirical models dominate this field, yet future advancements will likely involve coupled models that integrate climate and environmental factors. Fire risk assessment and prediction represent a global research hotspot, with machine learning- and deep learning-based approaches increasingly gaining prominence. These advanced methods have demonstrated superior accuracy compared to traditional techniques in predicting urban fire risks. This synthesis aims to elucidate the current state, trends, and deficiencies within the existing research. Future research should explore methods for screening highly resistant landscape plants, with the goal of bolstering the ecological resilience of urban greening systems and providing theoretical underpinnings for the realization of sustainable urban environmental security.
C1 [Zhang, Deshun; Yao, Manqing; Chen, Yingying; Liu, Yujia] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China.
C3 Tongji University
RP Yao, MQ (corresponding author), Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China.
EM zds@tongji.edu.cn; manqingyao@163.com; 2210294@tongji.edu.cn;
   yujialiu@tongji.edu.cn
RI Liu, Yujia/AHB-9746-2022
FU The National Natural Science Foundation of China [32071824, 2024,
   2024JC07]; National Natural Science Foundation of China [22120240668];
   Central University Fundamental Research Funds of Tongji University
FX This research was funded by [The National Natural Science Foundation of
   China] grant number [32071824], [2024 Graduate Textbook Construction
   Project of Tongji University] grant number [2024JC07] and [2024 Central
   University Fundamental Research Funds of Tongji University] grant number
   [22120240668].
CR Abaffy L., 2018, Eng. News-Rec, V281, P55
   Abatzoglou JT, 2023, EARTHS FUTURE, V11, DOI 10.1029/2022EF003471
   Agarwal P, 2020, RISK ANAL, V40, P1438, DOI 10.1111/risa.13480
   Aksoy E, 2023, FIRE-BASEL, V6, DOI 10.3390/fire6100408
   Alessio GA, 2008, INT J WILDLAND FIRE, V17, P274, DOI 10.1071/WF07038
   Alexander ME, 2010, FOREST CHRON, V86, P200, DOI 10.5558/tfc86200-2
   Bär A, 2019, NEW PHYTOL, V223, P1728, DOI 10.1111/nph.15871
   Bufacchi P, 2016, FIRE SAFETY J, V79, P44, DOI 10.1016/j.firesaf.2015.11.014
   Burton ED, 2019, CHEMOSPHERE, V222, P440, DOI 10.1016/j.chemosphere.2019.01.172
   Chen C., 1995, Research on Biological Fire Prevention, V1, P3
   Chen F, 2023, FIRE-BASEL, V6, DOI 10.3390/fire6030113
   Chen LF, 2019, J GEOGR SCI, V29, P1179, DOI 10.1007/s11442-019-1652-8
   CORDERO T, 1990, THERMOCHIM ACTA, V164, P135, DOI 10.1016/0040-6031(90)80430-7
   Cui XL, 2023, NEW PHYTOL, V240, P105, DOI 10.1111/nph.18905
   Cui XL, 2019, J ENVIRON MANAGE, V233, P329, DOI 10.1016/j.jenvman.2018.12.043
   Dehane B, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0659-5
   Fernández-Manso A, 2024, SCI TOTAL ENVIRON, V940, DOI 10.1016/j.scitotenv.2024.173568
   Fu X., 2021, Fire Sci. Technol, V40, P1622
   Fujioka FM, 2021, INT J WILDLAND FIRE, V30, P351, DOI 10.1071/WF20025
   Furlaud JM, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118301
   Ghermandi L, 2016, J ENVIRON MANAGE, V183, P925, DOI 10.1016/j.jenvman.2016.09.051
   Gigovic L, 2019, FORESTS, V10, DOI 10.3390/f10050408
   Gong AD, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15215077
   Hantson S, 2024, ONE EARTH, V7, P942, DOI 10.1016/j.oneear.2024.05.021
   Hao YL, 2023, ISPRS INT J GEO-INF, V12, DOI 10.3390/ijgi12100404
   Harvey BJ, 2016, P NATL ACAD SCI USA, V113, P11649, DOI 10.1073/pnas.1612926113
   Huang C, 2022, ENVIRON MODELL SOFTW, V153, DOI 10.1016/j.envsoft.2022.105410
   Huang C, 2021, J APPL ECOL, V58, P1336, DOI 10.1111/1365-2664.13876
   Hysa A, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102434
   Jennings CR, 1999, FIRE TECHNOL, V35, P7, DOI 10.1023/A:1015330931387
   Kane JM, 2023, INT J WILDLAND FIRE, V32, P728, DOI 10.1071/WF22184
   Keeley JE, 2019, FIRE ECOL, V15, DOI 10.1186/s42408-019-0041-0
   Kovalsyki B., 2016, Pesquisa Florestal Brasileira, V36, P387
   Kraaij T, 2024, TREES FOREST PEOPLE, V15, DOI 10.1016/j.tfp.2024.100513
   Kreye JK, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2078
   Lenihan J.M., 2018, Nat. Commun, V9, P2718
   Li H., 2022, Chin. Urban For, V20, P133
   Li H., 2023, Masters Thesis
   Li JB, 2019, J ALLOY COMPD, V792, P170, DOI 10.1016/j.jallcom.2019.03.403
   Li S., 2008, Landsc. Archit, V6, P92
   Li X., 2016, For. Inventory Plan, V41, P62
   Li XJ, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192315897
   [李修鹏 Li Xiupeng], 2013, [生态学报, Acta Ecologica Sinica], V33, P6604
   Li YZ, 2024, FIRE-BASEL, V7, DOI 10.3390/fire7010013
   Lima GPA, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102308
   Liu X., 2019, J. Chin. Urban For, V17, P6
   Madrigal J, 2009, J FIRE SCI, V27, P323, DOI 10.1177/0734904109102030
   Mahamed M, 2022, FIRE-BASEL, V5, DOI 10.3390/fire5060184
   Manzello SL, 2022, FUEL, V314, DOI 10.1016/j.fuel.2021.122805
   Martin R.E., 1994, Proceedings of the 12th Conference on Fire and Forest Meteorology. Society of American Foresters, P130, DOI [10.13140/RG.2.1.3999.3680, DOI 10.13140/RG.2.1.3999.3680]
   Miao XY, 2023, FORESTS, V14, DOI 10.3390/f14081596
   Miller C, 1999, ECOL MODEL, V114, P113, DOI 10.1016/S0304-3800(98)00119-7
   Moinuddin K. A. M., 2020, Mathematics and Computers in Simulation, V175, P81, DOI 10.1016/j.matcom.2019.05.018
   Msweli ST, 2020, PEERJ, V8, DOI 10.7717/peerj.10161
   Murray BR, 2018, FIRE-BASEL, V1, DOI 10.3390/fire1010015
   Nassauer JoanIverson., 1995, Landscape Journal, V14, P161, DOI DOI 10.3368/LJ.14.2.161
   Neary D.G., 2006, Forest Ecology and Management, V234, pS162, DOI DOI 10.1016/J.FORECO.2006.08.213
   Niu S., 2011, Ph.D. Thesis
   NOBLE IR, 1980, AUST J ECOL, V5, P201, DOI 10.1111/j.1442-9993.1980.tb01243.x
   Ocampo-Zuleta K, 2024, GLOBAL ECOL BIOGEOGR, V33, P412, DOI 10.1111/geb.13799
   Pan YJ, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2024.111612
   Parks SA, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089858
   Pei ZX, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104989
   Pellegrino J.L., 2013, WILDLAND URBAN INTER, DOI [10.6028/NIST.SP.1150, DOI 10.6028/NIST.SP.1150]
   Pirk S, 2017, ACM T GRAPHIC, V36, DOI 10.1145/3130800.3130814
   Price O, 2014, LANDSCAPE URBAN PLAN, V130, P81, DOI 10.1016/j.landurbplan.2014.06.013
   Molina JR, 2017, LANDSCAPE URBAN PLAN, V158, P129, DOI 10.1016/j.landurbplan.2016.11.003
   Rasooli SB, 2021, J FORESTRY RES, V32, P1167, DOI 10.1007/s11676-020-01185-9
   Ren JN, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002518
   Ronchi E, 2019, SAFETY SCI, V118, P868, DOI 10.1016/j.ssci.2019.06.009
   Rothermel R. C., 1972, USDA Forests Service Research Paper, Intermountain Forest and Range Experiment Station
   RYAN KC, 1988, CAN J FOREST RES, V18, P1291, DOI 10.1139/x88-199
   Ryu SR, 2017, FORESTS, V8, DOI 10.3390/f8060188
   Saito Y., 1983, J. Landsc. Archit, V46, P158
   Seo H, 2014, J PLANT BIOL, V57, P48, DOI 10.1007/s12374-013-0359-0
   Stephens SL, 2020, FRONT ECOL ENVIRON, V18, P354, DOI 10.1002/fee.2218
   Szasdi-Bardales F, 2024, FIRE SAFETY J, V143, DOI 10.1016/j.firesaf.2023.104076
   Tian X., 2000, Ph.D. Thesis
   Tian XiaoRui Tian XiaoRui, 2001, Journal of Beijing Forestry University, V23, P43
   Toshinori H., 2012, J. Green Eng, V38, P33
   VanderWeide BL, 2011, FOREST ECOL MANAG, V261, P1530, DOI 10.1016/j.foreco.2011.01.044
   VANWILGEN BW, 1990, J ECOL, V78, P210, DOI 10.2307/2261046
   Varner JM, 2021, NEW PHYTOL, V231, P1676, DOI 10.1111/nph.17539
   Vedal S, 2006, ENVIRON RES, V102, P29, DOI 10.1016/j.envres.2006.03.008
   Wahlqvist J, 2021, SAFETY SCI, V136, DOI 10.1016/j.ssci.2020.105145
   Wan Y., 2006, Urban Disaster Prevention, V2nd ed.
   Wang Lei, 2020, Journal of Nanjing Forestry University (Natural Sciences Edition), V44, P74, DOI 10.3969/j.issn.1000-2006.201905024
   Wang Lei, 2020, Journal of Beijing Forestry University, V42, P87
   Wang X., 2010, Ph.D. Thesis
   Wang Z., 1983, Mt. Res, V1, P42
   Wei R, 2019, INT J WILDLAND FIRE, V28, P969, DOI 10.1071/WF18232
   Wen D., 1992, For. Fire Prev, V4, P22
   Weng T., 2007, Ph.D. Thesis
   Wu J, 2006, ATMOS ENVIRON, V40, P3333, DOI 10.1016/j.atmosenv.2006.01.056
   Wyse SV, 2016, INT J WILDLAND FIRE, V25, P466, DOI 10.1071/WF15047
   [肖化顺 Xiao Huashun], 2012, [西北林学院学报, Journal of Northwest Forestry College], V27, P131
   Xie X., 2014, Ph.D. Thesis
   [徐奔奔 Xu Benben], 2022, [遥感学报, National Remote Sensing Bulletin], V26, P1575
   Yao MQ, 2024, LAND-BASEL, V13, DOI 10.3390/land13081125
   Yao MQ, 2024, FORESTS, V15, DOI 10.3390/f15071266
   Yao QC, 2024, NATL SCI REV, V11, DOI 10.1093/nsr/nwae163
   Yohannes T, 2024, ENVIRON SCI POLICY, V160, DOI 10.1016/j.envsci.2024.103830
   You XY, 2024, FORESTS, V15, DOI 10.3390/f15010086
   Zhang D., 2019, Chin. Urban For, V18, P23
   [张德顺 Zhang Deshun], 2021, [同济大学学报. 自然科学版, Journal of Tongji University. Natural Science], V49, P1399
   Zhang GL, 2019, INT J DISAST RISK SC, V10, P386, DOI 10.1007/s13753-019-00233-1
   [张文辉 Zhang Wenhui], 2019, [系统工程理论与实践, Systems Engineering-Theory & Practice], V39, P387
   Zheng H.N., 1991, For. Fire Prev, V3, P32
   Zigner K, 2022, FIRE-BASEL, V5, DOI 10.3390/fire5050138
   Zong Xue-zheng, 2019, World Forestry Research, V32, P31, DOI 10.13348/j.cnki.sjlyyj.2019.0066.y
   Zong XZ, 2024, LANDSCAPE URBAN PLAN, V242, DOI 10.1016/j.landurbplan.2023.104957
NR 111
TC 0
Z9 0
U1 6
U2 6
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR 18
PY 2025
VL 17
IS 6
AR 2680
DI 10.3390/su17062680
PG 25
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 0QV5M
UT WOS:001453835100001
OA gold
DA 2025-04-22
ER

PT J
AU Huang, XJ
   Li, H
   Zhang, XL
   Zhang, X
AF Huang, Xianjin
   Li, Huan
   Zhang, Xiaoling
   Zhang, Xin
TI Land use policy as an instrument of rural resilience - The case of land
   withdrawal mechanism for rural homesteads in China
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Rural sustainability; Rural development; Land market; Government
   regulations; Assessment index
ID URBAN SUSTAINABILITY; ADAPTIVE CAPACITY; DELPHI METHOD; VULNERABILITY;
   INDICATORS; FRAMEWORK; TENURE; IMPLEMENTATION; COMMUNITIES; TRANSITION
AB Resilience has emerged as an attractive conceptual approach for theorizing rural development in terms of highly complex, vulnerable and adaptive systems. In China, land use policies have evidently influenced rural resilience. We conduct a co-citation analysis, especially the visualization of co-citation networks and research clusters, using CiteSpace 4.0.R5. Based on the analysis and literature review, we develop an assessment index system comprising four types of resilience engineering, ecological, economic and social to evaluate the changes in rural resilience resulting from a policy to develop a withdrawal mechanism for rural homesteads (WMRH). Our findings indicate that rural resilience in Guangzhou, Chongqing and Wuxi, selected as the study areas, increased by 123%, 61% and 88% respectively after the implementation of the policy. The main causes of these variations in changes in rural resilience are attributed to the diverse economic development modes in the different regions, as well as differing degrees of land market development and government regulation. Overall, the implementation of a WMRH, accompanied by a strong market and government regulation, is found to be optimal for enhancing rural resilience. We conclude that improving rural resilience involves appropriate government regulations as well as simply paying attention to the effects of the market on the optimal allocation of resources.
C1 [Huang, Xianjin; Zhang, Xin] Nanjing Univ, Geog & Oceanog Sci Sch, Nanjing 210093, Jiangsu, Peoples R China.
   [Huang, Xianjin; Li, Huan; Zhang, Xin] Minist Land & Resources, Key Lab Coastal Zone Exploitat & Protect, Beijing, Peoples R China.
   [Li, Huan] Zhejiang Univ, Dept Land Management, Hangzhou 310058, Zhejiang, Peoples R China.
   [Li, Huan; Zhang, Xiaoling] City Univ Hong Kong, Dept Publ Policy, Hong Kong, Hong Kong, Peoples R China.
   [Li, Huan; Zhang, Xiaoling] City Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China.
C3 Nanjing University; Ministry of Natural Resources of the People's
   Republic of China; Zhejiang University; City University of Hong Kong;
   City University of Hong Kong; Shenzhen Research Institute, City
   University of Hong Kong
RP Li, H; Zhang, XL (corresponding author), City Univ Hong Kong, Dept Publ Policy, Hong Kong, Hong Kong, Peoples R China.
EM lihuan2039@163.com; xiaoling.zhang@cityu.edu.hk
RI Zhang, Xiaoling/AAT-4795-2020; Huang, Xianjin/LWH-7009-2024
OI Huang, Xianjin/0000-0003-1308-2669; Zhang, Xiaoling/0000-0002-6369-9424
FU National Natural Science Fundation of China [71673232]; CityU internal
   Funds for PRC grant [9680195]; Research Grant Council of Hong Kong
   [CityU11271716, CityU21209715];  [7004950];  [9610386]
FX Thanks for the research data supplied by Mr Ben Ma' data, and the
   valuable suggestions provide by Dr. Tang Shuangshuang and Dr.Qixin Xian
   at Nanjing University; The research reported is supported by the
   National Natural Science Fundation of China (71673232), CityU internal
   Funds for PRC grant (9680195), CityU strategic Research Fund for
   unfunded GRF (7004950), CityU research project for-Infrastructure
   support from the Central (9610386); The work described was also
   supported by the Research Grant Council of Hong Kong (Project No:
   CityU11271716 and CityU21209715).
CR Andreoni V, 2013, ENVIRON POLICY GOV, V23, P118, DOI 10.1002/eet.1606
   Anthopoulou T, 2017, J RURAL STUD, V52, P1, DOI 10.1016/j.jrurstud.2017.03.006
   Chelleri L, 2015, HABITAT INT, V48, P122, DOI 10.1016/j.habitatint.2015.03.016
   Chen C, 2017, HABITAT INT, V70, P24, DOI 10.1016/j.habitatint.2017.09.011
   Chen ZG, 2015, HABITAT INT, V49, P294, DOI 10.1016/j.habitatint.2015.05.036
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   Feng L, 2014, LAND USE POLICY, V41, P246, DOI 10.1016/j.landusepol.2014.05.006
   Fikret Berkes J. C. A. C. F., 2003, ADAPTIVE DANCING INT
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gerlitz J. Y., 2017, CLIMATE DEV
   Gokhale AA, 2001, ENVIRON MANAGE, V28, P187, DOI 10.1007/s002670010217
   Heijman W., 2007, Development of agriculture and rural areas in Central and Eastern Europe, P383
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 2001, PANARCHY, P25
   Hu FZY, 2011, GEOFORUM, V42, P696, DOI 10.1016/j.geoforum.2011.06.002
   Huang XJ, 2014, CHINA REV, V14, P175
   Kaufmann PR, 2016, APPL GEOGR, V71, P56, DOI 10.1016/j.apgeog.2016.04.007
   Keogh DU, 2011, NAT HAZARDS, V59, P699, DOI 10.1007/s11069-011-9791-y
   Khalili S, 2015, INT J DISAST RISK RE, V13, P248, DOI 10.1016/j.ijdrr.2015.06.009
   Kleinwechter U, 2012, CHINA ECON REV, V23, P1071, DOI 10.1016/j.chieco.2012.06.001
   Krusekopf CC, 2002, CHINA ECON REV, V13, P297, DOI 10.1016/S1043-951X(02)00071-8
   Li H, 2015, LAND USE POLICY, V42, P635, DOI 10.1016/j.landusepol.2014.09.014
   Li LY, 2015, HABITAT INT, V50, P80, DOI 10.1016/j.habitatint.2015.08.009
   Li SM, 2017, CITIES, V71, P59, DOI 10.1016/j.cities.2017.07.011
   Li YR, 2014, LAND USE POLICY, V39, P188, DOI 10.1016/j.landusepol.2014.02.016
   Ma XL, 2015, LAND USE POLICY, V42, P293, DOI 10.1016/j.landusepol.2014.07.020
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   McPhearson T., 2014, The Nature of Cities
   Meerow SA, 2012, INT J URBAN SUSTAIN, V4, P20, DOI 10.1080/19463138.2012.667414
   Morecroft MD, 2012, J APPL ECOL, V49, P547, DOI [10.1111/j.1365-2664.2012.02136.x, 10.1111/j.1365-2664.2012.02147.x]
   Musa HD, 2015, PROCEDIA ENVIRON SCI, V30, P244, DOI 10.1016/j.proenv.2015.10.044
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Ouyang A. J., 2009, CHINA L SCI
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Passig D, 1997, HUM ORGAN, V56, P53, DOI 10.17730/humo.56.1.a3676826366nx556
   Quaranta G, 2014, EUR COUNTRYS, V6, P161, DOI 10.2478/euco-2014-0009
   Rescia AJ, 2010, LANDSCAPE URBAN PLAN, V98, P26, DOI 10.1016/j.landurbplan.2010.07.007
   Rigg J, 2015, GLOBAL ENVIRON CHANG, V32, P175, DOI 10.1016/j.gloenvcha.2015.03.007
   Roberts E, 2017, J RURAL STUD, V54, P355, DOI 10.1016/j.jrurstud.2017.06.010
   Salant SW, 2016, J ENVIRON ECON MANAG, V78, P49, DOI 10.1016/j.jeem.2016.02.004
   Sargeson S, 2013, J PEASANT STUD, V40, P1063, DOI 10.1080/03066150.2013.865603
   Schouten M, 2013, LAND USE POLICY, V30, P934, DOI 10.1016/j.landusepol.2012.06.008
   Schouten MAH, 2012, ECOL ECON, V81, P165, DOI 10.1016/j.ecolecon.2012.07.004
   Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011
   Skjeflo S, 2013, GLOBAL ENVIRON CHANG, V23, P1694, DOI 10.1016/j.gloenvcha.2013.08.011
   Tang SS, 2016, HABITAT INT, V51, P149, DOI 10.1016/j.habitatint.2015.10.023
   Testa AC, 2015, TRANSPORT RES REC, P29, DOI 10.3141/2532-04
   Walker B, 2004, ECOL SOC, V9
   Wang C, 2016, J RURAL STUD, V47, P485, DOI 10.1016/j.jrurstud.2016.07.002
   Wang CH, 2009, J WATER RES PLAN MAN, V135, P528, DOI 10.1061/(ASCE)0733-9496(2009)135:6(528)
   Wang H, 2012, HABITAT INT, V36, P201, DOI 10.1016/j.habitatint.2011.06.004
   Wang SH, 2012, LANDSCAPE URBAN PLAN, V106, P303, DOI 10.1016/j.landurbplan.2012.04.002
   Wang XB, 2016, WORLD DEV, V86, P30, DOI 10.1016/j.worlddev.2016.05.002
   Wen LJ, 2017, HABITAT INT, V59, P80, DOI 10.1016/j.habitatint.2016.11.011
   Wilson G, 2010, T I BRIT GEOGR, V35, P364
   Xu F, 2016, LAND USE POLICY, V54, P366, DOI 10.1016/j.landusepol.2016.02.027
   Xu GL, 2015, HABITAT INT, V49, P466, DOI 10.1016/j.habitatint.2015.06.017
   Xu H, 2014, LAND USE POLICY, V38, P541, DOI 10.1016/j.landusepol.2013.12.018
   Yan SQ, 2014, HABITAT INT, V44, P517, DOI 10.1016/j.habitatint.2014.10.009
   Yep R., 2016, J RURAL STUD
   Yuan F, 2014, HABITAT INT, V42, P58, DOI 10.1016/j.habitatint.2013.10.008
   [章波 ZHANG Bo], 2006, [中国土地科学, China Land Science], V20, P34
   [张婷 Zhang Ting], 2016, [资源科学, Resources Science], V38, P1503
   Zhong TY, 2014, HABITAT INT, V44, P93, DOI 10.1016/j.habitatint.2014.05.003
   Zhong TY, 2012, APPL GEOGR, V35, P422, DOI 10.1016/j.apgeog.2012.09.003
NR 66
TC 82
Z9 93
U1 26
U2 338
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD APR
PY 2018
VL 87
BP 47
EP 55
DI 10.1016/j.ecolind.2017.12.043
PG 9
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA GD8KK
UT WOS:000430761100006
DA 2025-04-22
ER

PT J
AU Kuang, D
   Liao, KH
AF Kuang, Da
   Liao, Kuei-Hsien
TI Learning from Floods: Linking flood experience and flood resilience
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Review
DE Flood experience; Learning; Learning-based flood mitigation; Learning
   from floods; Flood resilience
ID CLIMATE-CHANGE ADAPTATION; RISK-MANAGEMENT; MITIGATION BEHAVIOR;
   ADAPTIVE COMANAGEMENT; EXPLORING GOVERNANCE; URBAN DESIGN; KNOWLEDGE;
   PERCEPTION; LESSONS; VULNERABILITY
AB It has been argued that learning from flood experience contributes to flood resilience. However, it is unclear what such a learning process involves, and it is debatable whether flood experience always leads to flood resilience. To bridge this research gap, we develop the Learning from Floods (LFF) model to articulate the process of learning from flood experience and how it affects flood resilience. The LFF model suggests that flood experience prompts individual and social learning to give rise to flood-related knowledge, which is subject to learning opportunity, learning motivation, and prior knowledge. Flood-related knowledge could inform flood management and/or other action, which however can be limited by barriers, including information and resource availability, attitude, social capital, and policy barriers. Together, flood-related knowledge and its resulting action are considered the lesson learned, which then affects flood resilience through changing floodability, recoverability, adaptability, and/or transformability. We apply the LFF model to discuss the different learning processes and their respective effects on flood resilience in two environments. It suggests that an environment that is well-protected by flood control infrastructure is not conducive to learning about flood mitigation. Subsequently, we call for learning-based flood mitigation to nurture flood resilience in the face of climate change.
C1 [Kuang, Da] Chinese Univ Hong Kong, Sch Architecture, Hong Kong, Peoples R China.
   [Liao, Kuei-Hsien] Natl Taipei Univ, Grad Inst Urban Planning, New Taipei 237, Taiwan.
C3 Chinese University of Hong Kong; National Taipei University
RP Liao, KH (corresponding author), Natl Taipei Univ, Grad Inst Urban Planning, New Taipei 237, Taiwan.
EM da.kuang@link.cuhk.edu.hk; liaokh@mail.ntpu.edu.tw
CR Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   Alliance R, 2007, Urban Resilience Research Prospectus
   [Anonymous], 1978, ADAPTIVE ENV ASSESSM
   [Anonymous], 2016, ECOL SOC, DOI DOI 10.5751/ES-08854-210452
   [Anonymous], ECOL SOC
   Argote L, 2003, MANAGE SCI, V49, P571, DOI 10.1287/mnsc.49.4.571.14424
   Argote L, 2011, ORGAN SCI, V22, P1123, DOI 10.1287/orsc.1100.0621
   Argote L, 2011, MANAGE LEARN, V42, P439, DOI 10.1177/1350507611408217
   Argyris C., 1978, ORG LEARNING THEORY
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089
   Baana P.J., 2004, INT J RIVER BASIN MA, V2, P113, DOI [10.1080/15715124.2004.9635226, DOI 10.1080/15715124.2004.9635226]
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Begg C, 2017, INT J WATER RESOUR D, V33, P591, DOI [10.1080/07900627.2016.1200961, 10.1080/07900627.2016.1200]
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Bichard E, 2012, CLIMATIC CHANGE, V112, P633, DOI 10.1007/s10584-011-0257-8
   Birkland TA., 2003, Natural Hazards Review, V4, P46, DOI [10.1061/(asce)1527-6988(2003)4:1(46), DOI 10.1061/(ASCE)1527-6988(2003)4:1(46)]
   Birkmann J, 2010, NAT HAZARDS, V55, P637, DOI 10.1007/s11069-008-9319-2
   Bradford RA, 2012, NAT HAZARD EARTH SYS, V12, P2299, DOI 10.5194/nhess-12-2299-2012
   Brilly M., 2005, Natural Hazards and Earth System Sciences, P344
   Brody SD, 2009, RISK ANAL, V29, P912, DOI 10.1111/j.1539-6924.2009.01210.x
   Brody SD, 2003, J PLAN EDUC RES, V23, P191, DOI 10.1177/0739456X03258635
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Buchecker M, 2016, ENVIRON SCI POLICY, V55, P309, DOI 10.1016/j.envsci.2015.07.021
   Burningham K, 2008, DISASTERS, V32, P216, DOI 10.1111/j.1467-7717.2007.01036.x
   Butler C, 2011, ENVIRON PLANN C, V29, P533, DOI 10.1068/c09181j
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cenderelli D A., 2000, Inland Flood Hazards: human, riparian and aquatic communities, P73, DOI [10.1017/cbo9780511529412.004, DOI 10.1017/CBO9780511529412.004, 10.1017/CBO9780511529412.004]
   Challies E, 2016, ENVIRON SCI POLICY, V55, P275, DOI 10.1016/j.envsci.2015.09.012
   COHEN WM, 1990, ADMIN SCI QUART, V35, P128, DOI 10.2307/2393553
   Colding J., 2003, NAVIGATING SOCIAL EC, P163, DOI [10.1017/CBO9780511541957.011, DOI 10.1017/CBO9780511541957.011]
   Cook C, 2014, GEOFORUM, V56, P192, DOI 10.1016/j.geoforum.2014.07.012
   Cuny F. C., 1991, Land Use Policy, V8, P331, DOI 10.1016/0264-8377(91)90023-C
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   De Bruijn K.M., 2005, THESIS TU DELFT DELF
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   De Marchi B, 2012, DISASTERS, V36, P316, DOI 10.1111/j.1467-7717.2011.01252.x
   DERRY SJ, 1986, REV EDUC RES, V56, P1, DOI 10.3102/00346543056001001
   Dieperink C, 2018, ECOL SOC, V23, DOI 10.5751/ES-09962-230131
   Diwas KC, 2013, MANAGE SCI, V59, P2435, DOI 10.1287/mnsc.2013.1720
   Driessen PPJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08921-210453
   Eakin H, 2010, GLOBAL ENVIRON CHANG, V20, P14, DOI 10.1016/j.gloenvcha.2009.08.005
   Ehlert J., 2012, Beautiful floods: Environmental knowledge and agrarian change in the Mekong Delta, Vietnam vol, V19
   Elliott JR, 2010, SOCIOL QUART, V51, P624, DOI 10.1111/j.1533-8525.2010.01186.x
   Ellis H., 1965, The transfer of learning
   Ellis S, 2006, J APPL PSYCHOL, V91, P669, DOI 10.1037/0021-9010.91.3.669
   Eraut M, 2000, BRIT J EDUC PSYCHOL, V70, P113, DOI 10.1348/000709900158001
   Eraut M., 2004, STUDIES CONTINUING E, V26, P247, DOI [DOI 10.1080/158037042000225245, 10.1080/158037042000225245]
   Fernandez-Gimenez ME, 2008, ECOL SOC, V13
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15
   Folke CarlJ., 2010, Ecology and Society
   Fox-Rogers L, 2016, J HYDROL, V543, P330, DOI 10.1016/j.jhydrol.2016.10.009
   Fuchs S, 2017, HYDROL EARTH SYST SC, V21, P3183, DOI 10.5194/hess-21-3183-2017
   Gersonius B, 2016, ECOL SOC, V21, DOI 10.5751/ES-08752-210428
   Gilbert S.W., 2010, NIST special publication, V1117
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gotham KF, 2018, RISK ANAL, V38, P345, DOI 10.1111/risa.12830
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Haer T, 2017, RISK ANAL, V37, P1977, DOI 10.1111/risa.12740
   Harries T., 2013, Cities at risk, P45, DOI [DOI 10.1007/978-94-007-6184-1_4, DOI 10.1007/978-94-007-6184-1]
   Harries T, 2012, ENVIRON PLANN A, V44, P649, DOI 10.1068/a43612
   Harries T, 2011, GLOBAL ENVIRON CHANG, V21, P188, DOI 10.1016/j.gloenvcha.2010.09.002
   Heazle M, 2013, ENVIRON SCI POLICY, V33, P162, DOI 10.1016/j.envsci.2013.05.009
   Heikkila T, 2013, POLICY STUD J, V41, P484, DOI 10.1111/psj.12026
   Henstra D, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12346
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1995, P44
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Horvath J.A., 1996, Tacit Knowledge in Military Leadership: Supporting Instrument Development
   Huber GP, 1991, ORGAN SCI, V2, P88, DOI 10.1287/orsc.2.1.88
   Huitema D, 2010, ECOL SOC, V15
   ICPR (International Commission for the Protection of the Rhine), 2002, INT C HYDROPOWER DAM
   Johannessen Å, 2013, GLOBAL ENVIRON CHANG, V23, P372, DOI 10.1016/j.gloenvcha.2012.07.009
   Johnson CL, 2005, INT J WATER RESOUR D, V21, P561, DOI 10.1080/07900620500258133
   Kasperson RE, 1996, ANN AM ACAD POLIT SS, V545, P95, DOI 10.1177/0002716296545001010
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Keck M, 2013, ERDKUNDE, V67, P75, DOI 10.3112/erdkunde.2013.01.07
   Knocke ET, 2007, RISK ANAL, V27, P155, DOI 10.1111/j.1539-6924.2006.00866.x
   Knowles M.S., 2012, The adult learner
   Kolb D. A., 1984, Experiential learning: Experience as the source of learning and development
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kousky C, 2010, LAND ECON, V86, P395, DOI 10.3368/le.86.3.395
   Kreibich H, 2005, NAT HAZARD EARTH SYS, V5, P117, DOI 10.5194/nhess-5-117-2005
   Lamond JE, 2009, PROC INST CIV ENG-U, V162, P63, DOI 10.1680/udap.2009.162.2.63
   Lawrence J, 2014, NAT HAZARDS, V74, P1773, DOI 10.1007/s11069-014-1288-z
   Lee K.N., 1993, COMPASS GYROSCOPE
   Lennon M, 2014, J URBAN DES, V19, P745, DOI 10.1080/13574809.2014.944113
   Levin DZ, 2004, MANAGE SCI, V50, P1477, DOI 10.1287/mnsc.1030.0136
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Liao KH, 2019, LANDSCAPE URBAN PLAN, V189, P36, DOI 10.1016/j.landurbplan.2019.04.012
   Liao KH, 2016, LANDSCAPE URBAN PLAN, V155, P69, DOI 10.1016/j.landurbplan.2016.01.014
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Lo AY, 2015, APPL GEOGR, V64, P1, DOI 10.1016/j.apgeog.2015.08.003
   Lo AY, 2013, GLOBAL ENVIRON CHANG, V23, P1249, DOI 10.1016/j.gloenvcha.2013.07.019
   Ludy J, 2012, NAT HAZARDS, V61, P829, DOI 10.1007/s11069-011-0072-6
   Manyena SB, 2011, LOCAL ENVIRON, V16, P417, DOI 10.1080/13549839.2011.583049
   Moftakhari HR, 2018, WATER RESOUR RES, V54, P4218, DOI 10.1029/2018WR022828
   Morrison A, 2018, J FLOOD RISK MANAG, V11, P291, DOI 10.1111/jfr3.12315
   Morrison A, 2019, ENVIRON MANAGE, V64, P608, DOI 10.1007/s00267-019-01208-0
   Motoyoshi T., 2006, A better integrated management of disaster risks, P121
   Muro M, 2012, ECOL SOC, V17, DOI 10.5751/ES-04476-170103
   Newig J, 2016, ENVIRON SCI POLICY, V55, P353, DOI 10.1016/j.envsci.2015.07.020
   NONAKA I, 1994, ORGAN SCI, V5, P14, DOI 10.1287/orsc.5.1.14
   Nye M, 2011, J FLOOD RISK MANAG, V4, P288, DOI 10.1111/j.1753-318X.2011.01114.x
   Olsson P, 2004, ECOL SOC, V9
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Opperman JJ, 2009, SCIENCE, V326, P1487, DOI 10.1126/science.1178256
   Osberghaus D, 2017, GLOBAL ENVIRON CHANG, V43, P126, DOI 10.1016/j.gloenvcha.2017.02.003
   Owusu S, 2015, NAT HAZARDS, V77, P1963, DOI 10.1007/s11069-015-1686-x
   Pahl-Wostl C., 2008, Ecology and Society, V12
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Parker D. J., 2007, Environmental Hazards, V7, P193, DOI 10.1016/j.envhaz.2007.08.005
   Parker DJ, 2009, METEOROL APPL, V16, P103, DOI 10.1002/met.119
   PAUL BK, 1984, HUM ECOL, V12, P3, DOI 10.1007/BF01531281
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pickett Steward T.A., 1992, P65
   Pielke RA, 1999, CLIMATIC CHANGE, V42, P413
   Pierson P, 2000, AM POLIT SCI REV, V94, P251, DOI 10.2307/2586011
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Prell C, 2010, ECOL SOC, V15
   REBER AS, 1989, J EXP PSYCHOL GEN, V118, P219, DOI 10.1037/0096-3445.118.3.219
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Reynaud A, 2013, GENEVA PAP R I-ISS P, V38, P547, DOI 10.1057/gpp.2013.16
   Roschelle J., 1995, Public Institutions for Personal Leaming, P33
   Sayers P., 2013, FLOOD RISK MANAGEMEN
   Schelfaut K, 2011, ENVIRON SCI POLICY, V14, P825, DOI 10.1016/j.envsci.2011.02.009
   Shah AA, 2017, NAT HAZARDS, V88, P415, DOI 10.1007/s11069-017-2872-9
   Siegrist M, 2008, RISK ANAL, V28, P771, DOI 10.1111/j.1539-6924.2008.01049.x
   Siemsen E, 2008, J OPER MANAG, V26, P426, DOI 10.1016/j.jom.2007.09.001
   Sörensen J, 2016, WATER-SUI, V8, DOI 10.3390/w8080332
   Spitzer DR, 2005, ADV DEV HUM RESOUR, V7, P55, DOI 10.1177/1523422304272167
   Starbuck W.H., 2001, How organizations learn from success and failure
   Sternberg Robert J., 2000, Practical intelligence in everyday life
   Suskevics M, 2018, J ENVIRON PLANN MAN, V61, P1085, DOI 10.1080/09640568.2017.1339594
   ten Brinke WBM, 2008, P I CIVIL ENG-MUNIC, V161, P93, DOI [10.1680/muen.2008.161.2.93, 10.1680/muen.2008.161.293]
   Terpstra T, 2011, RISK ANAL, V31, P1658, DOI 10.1111/j.1539-6924.2011.01616.x
   Thompson PM, 1996, GEOGR J, V162, P1, DOI 10.2307/3060212
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   Tran P, 2009, DISASTERS, V33, P152, DOI 10.1111/j.1467-7717.2008.01067.x
   van Buuren A, 2016, ECOL SOC, V21, DOI 10.5751/ES-08765-210443
   Vis M., 2003, International Journal of River Basin Management, V1, P33, DOI [10.1080/15715124.2003.9635190, DOI 10.1080/15715124.2003.9635190]
   Vroom V.H., 1964, Expectancy theory. Work and motivation
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Walker B., 2004, Ecology and Society, V9, P5
   Walters C. J., 1986, ADAPTIVE MANAGEMENT
   Weerakoon C, 2020, KNOWL MAN RES PRACT, V18, P147, DOI 10.1080/14778238.2019.1590138
   White P.S., 1985, The Ecology of Natural Disturbance and Patch Dynamics, DOI [DOI 10.1016/B978-0-12-554520-4.50006-X, DOI 10.1016/B978-0-08-050495-7.50006-5]
   Wiering M., 2018, Journal of Flood Risk Management, V11, P230, DOI 10.1111/jfr3.12295
   Williams C, 2015, NAT CLIM CHANGE, V5, P82, DOI 10.1038/nclimate2476
   Willner SN, 2018, NAT CLIM CHANGE, V8, P594, DOI 10.1038/s41558-018-0173-2
   Zevenbergen C, 2008, J FLOOD RISK MANAG, V1, P81, DOI 10.1111/j.1753-318X.2008.00010.x
NR 157
TC 82
Z9 89
U1 45
U2 366
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD OCT 1
PY 2020
VL 271
AR 111025
DI 10.1016/j.jenvman.2020.111025
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA MZ0KH
UT WOS:000558812000078
PM 32778305
DA 2025-04-22
ER

PT J
AU Wong, THF
   Rogers, BC
   Brown, RR
AF Wong, Tony H. F.
   Rogers, Briony C.
   Brown, Rebekah R.
TI Transforming Cities through Water-Sensitive Principles and Practices
SO ONE EARTH
LA English
DT Review
ID SUSTAINABILITY; TRANSITIONS; MANAGEMENT; CLIMATE; INTERDISCIPLINARITY;
   OPPORTUNITIES; INNOVATION
AB Many global cities and towns are facing complex and interrelated challenges associated with population growth, resource constraints, aging infrastructure, and degraded environments, exacerbated by increasing climate uncertainty. The United Nation's Agenda 2030 is a global call to action with 17 Sustainable Development Goals (SDGs). Water is the common currency linking nearly every SDG. SDG 11 aspires to "Make cities and human settlements inclusive, safe, resilient, and sustainable'' and the water-sensitive city represents an aspirational future state for water management where servicing strategies deliver long-term sustainability, liveability, resilience, and prosperity. This social-technical endeavor is based on three principles of practice proposed in 2009. They have since been operationalized and adapted in many projects globally, and across a range of social, institutional, and biophysical contexts. In this Perspective, we reflect on lessons learned, required actions for mainstreaming water-sensitive practices, the next-wave research agenda, and opportunities to catalyze actions in sectors beyond water.
C1 [Wong, Tony H. F.; Rogers, Briony C.] Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.
   [Wong, Tony H. F.; Rogers, Briony C.; Brown, Rebekah R.] Monash Univ, Melbourne, Vic, Australia.
C3 Cooperative Research Centre for Water Sensitive Cities (CRCWSC); Monash
   University
RP Wong, THF (corresponding author), Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.; Wong, THF (corresponding author), Monash Univ, Melbourne, Vic, Australia.
EM tony.wong@monash.edu
OI Wong, Tony/0000-0001-8649-2816; Rogers, Briony/0000-0003-1780-127X
CR Annan-Diab F, 2017, INT J MANAG EDUC-OXF, V15, P73, DOI 10.1016/j.ijme.2017.03.006
   [Anonymous], 2012, STRENGTH PART DEV RE
   [Anonymous], 2018, C40 CITIES CASE STUD
   [Anonymous], 2018, PROJECTS H DREISEITL
   [Anonymous], 2018, Making Every Drop Count
   [Anonymous], 2019, RAIN CIT STRAT GREEN
   Arsenault R, 2018, WATER-SUI, V10, DOI 10.3390/w10010049
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Bertram N., 2019, Time with Water: Design Studies of 3 Australian Cities, P41
   Biswas A.K., 2017, CHINA DIALOGUE
   Brown R., 2016, MOVING WATER SENSITI
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Brown R.R., 2007, TRANSITION WATER SEN
   Brown RR, 2018, THEOR PRACT URB SUST, P129, DOI 10.1007/978-981-10-4792-3_8
   Brown RR, 2015, NATURE, V525, P315, DOI 10.1038/525315a
   Brown RR, 2013, GLOBAL ENVIRON CHANG, V23, P701, DOI 10.1016/j.gloenvcha.2013.02.013
   Buhl A, 2019, J CLEAN PROD, V231, P1248, DOI 10.1016/j.jclepro.2019.05.259
   Bursztyn M, 2014, ENVIRON EDUC RES, V20, P313, DOI 10.1080/13504622.2013.780587
   Cai XM, 2018, ADV WATER RESOUR, V111, P259, DOI 10.1016/j.advwatres.2017.11.014
   Caprotti F, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0089-5
   Chesterfield C., 2021, GUIDING INTEGRATED U
   Chye K.T., 2018, ACTIVE BEAUTIFUL CLE
   CohenShacham E., 2016, Nature-based Solutions to address global societal challenges, DOI 10.2305/iucn.ch.2016.13.en
   Fuertes PC, 2020, URBAN WATER J, V17, P704, DOI 10.1080/1573062X.2020.1771382
   CRC for Water Sensitive Cities, 2015, ID FISH BEND
   CRC for Water Sensitive Cities, 2015, WHAT IS BEST MIX OUR
   CRC for Water Sensitive Cities, 2018, VICT GOV END STORMW
   CRC for Water Sensitive Cities, 2018, ACH WAT SENS PERTH L
   CRC for Water Sensitive Cities, 2017, CRCWSC REC TOP IND A
   CRC for Water Sensitive Cities, 2020, ID INN RES SYNTH IND
   de Haan FJ, 2015, ENVIRON INNOV SOC TR, V15, P1, DOI 10.1016/j.eist.2014.11.005
   de Haan FJ, 2014, TECHNOL FORECAST SOC, V85, P121, DOI 10.1016/j.techfore.2013.09.005
   Dean AJ, 2016, ENVIRON SCI POLICY, V55, P238, DOI 10.1016/j.envsci.2015.10.016
   Department of Water and Environmental Regulation, 2019, WAT PERTH 2 YEAR ACT
   Eggimann S, 2017, ENVIRON SCI TECHNOL, V51, P2538, DOI 10.1021/acs.est.6b04267
   Ferguson BC, 2013, WATER RES, V47, P7300, DOI 10.1016/j.watres.2013.09.045
   Ferguson BC, 2013, LANDSCAPE URBAN PLAN, V117, P32, DOI 10.1016/j.landurbplan.2013.04.016
   Franco-Torres M, 2020, ENVIRON INNOV SOC TR, V36, P34, DOI 10.1016/j.eist.2020.04.010
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Furlong K, 2010, ENVIRON PLANN C, V28, P349, DOI 10.1068/c09122
   Geetha S., 2017, Smart Water, V2, P1, DOI 10.1186/s40713-017-0005-y
   Hammer K., 2018, Vision and Transition Strategy for a Water Sensitive Greater Perth, CRCWSC Integrated Research Project 1: Water Sensitive City Visions and Transition Strategies
   Han MY, 2011, WATER SCI TECHNOL, V63, P2796, DOI 10.2166/wst.2011.597
   Hoffmann S, 2020, ENVIRON SCI TECHNOL, V54, P5312, DOI 10.1021/acs.est.9b05222
   Hoyer Jacqueline., 2011, WATER SENSITIVE URBA
   Iftekhar M.S., 2019, INFFEWS VALUE TOOL G
   Institution of Engineers Australia, 2001, AUSTR RAINF RUN GUID, P78
   International Water Association, 2016, DES AUSTR EXP
   Jackson S, 2019, AUSTRALAS J ENV MAN, V26, P193, DOI 10.1080/14486563.2019.1661645
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Kanuri C., 2016, Getting Started with the SDGs in Cities: A Guide for Stakeholders
   Kivimaa P, 2020, ENVIRON INNOV SOC TR, V36, P372, DOI 10.1016/j.eist.2020.03.004
   Leroux AD, 2016, AM J AGR ECON, V98, P276, DOI 10.1093/ajae/aav014
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   Liang RJ, 2019, WATER-SUI, V11, DOI 10.3390/w11122428
   Lindsay J, 2019, WATER-SUI, V11, DOI 10.3390/w11030476
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Lund NSV, 2019, NAT SUSTAIN, V2, P1003, DOI 10.1038/s41893-019-0392-1
   Mackenzie J, 2012, J HYDROL, V474, P11, DOI 10.1016/j.jhydrol.2012.09.008
   Maedows D., 1999, LEVERAGE POINTS PLAC
   Markard J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9468
   Megdal SB, 2017, WATER-SUI, V9, DOI 10.3390/w9030190
   Mori K, 2012, ENVIRON IMPACT ASSES, V32, P94, DOI 10.1016/j.eiar.2011.06.001
   Newton PW, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114745
   Pahl-Wostl C., 2016, HDB WATER SECURITY
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Prime Minister'sScience Engineering and InnovationCouncil, 2007, WAT OUR CIT BUILD RE
   Quigley M., 2014, INFR1R11 WAT ENV RES
   Rauch W, 2017, WATER RES, V126, P501, DOI 10.1016/j.watres.2017.09.039
   Renouf MA, 2018, WATER RES, V137, P395, DOI 10.1016/j.watres.2018.01.070
   Ritchie H, 2018, Urbanization
   Rogers B., 2019, SOURCE MAGAZINE 0415
   Rogers BC, 2020, WATER RES, V186, DOI 10.1016/j.watres.2020.116411
   Rogers BC, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0201
   Rogers B.C., 2018, VISION TRANSITION ST
   Saier MH, 2007, WATER AIR SOIL POLL, V181, P1, DOI 10.1007/s11270-007-9372-6
   Sedlak D., 2014, WATER 4 0 PRESENT FU, P331
   Sousa-Zomer T. T., 2018, Journal of Cleaner Production, V171, pS119, DOI 10.1016/j.jclepro.2016.07.063
   Speight VL, 2015, WIRES WATER, V2, P301, DOI 10.1002/wat2.1082
   Stone B, 2005, J AM PLANN ASSOC, V71, P13, DOI 10.1080/01944360508976402
   Tan N.S., 2009, P 6 INT WAT SENS URB
   UNEP, 2019, CITIES CLIMATE CHANG
   United Nations, 2016, HAB 3 DRAFT NEW URB
   US Department of Housing and Urban Development; NAHB Research Centre, 2013, PRACT LOW IMP DEV BI
   Vlachokyriakos Vasillis, 2016, P 2016 CHI C EXT ABS, P1096, DOI [DOI 10.1145/2851581, 10.1145;28515812886136, DOI 10.1145/2851581.2886436]
   Water Sensitive Transition Network, 2019, VIS TRANS STRAT WAT
   Water Services Association of Australia, 2019, URB WAT UPD 2019 DRO
   Wong T., 2016, ASIAN DEV BLOG
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Wong T.H.F., 2016, HUMAN SETTLEMENTS FR, P15
   Xu GB, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19071711
   Yu K., 2014, DESIGN PATHS ECOLOGI
   Yunus M., 2018, A world of three zeros: The new economics of zero poverty, zero unemployment, and zero net carbon emissions
NR 93
TC 51
Z9 53
U1 3
U2 26
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
SN 2590-3330
EI 2590-3322
J9 ONE EARTH
JI One Earth
PD OCT 23
PY 2020
VL 3
IS 4
BP 436
EP 447
DI 10.1016/j.oneear.2020.09.012
PG 12
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA RW3JZ
UT WOS:000646423500013
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Fatorachian, H
   Kazemi, H
   Pawar, K
AF Fatorachian, Hajar
   Kazemi, Hadi
   Pawar, Kulwant
TI Digital Technologies in Food Supply Chain Waste Management: A Case Study
   on Sustainable Practices in Smart Cities
SO SUSTAINABILITY
LA English
DT Article
DE smart cities; urban waste management; IoT and AI in supply chains;
   sustainability; circular economy
AB This study explores how digital technologies and data analytics can transform urban waste management in smart cities by addressing systemic inefficiencies. Integrating perspectives from the Resource-Based View, Socio-Technical Systems Theory, Circular Economy Theory, and Institutional Theory, the research examines sustainability, operational efficiency, and resilience in extended supply chains. A case study of Company A and its demand-side supply chain with Retailer B highlights key drivers of waste, including overstocking, inventory mismanagement, and inefficiencies in transportation and promotional activities. Using a mixed-methods approach, the study combines quantitative analysis of operational data with advanced statistical techniques and machine learning models. Key data sources include inventory records, sales forecasts, promotional activities, waste logs, and IoT sensor data collected over a two-year period. Machine learning techniques were employed to uncover complex, non-linear relationships between waste drivers and waste generation. A waste-type-specific emissions framework was used to assess environmental impacts, while IoT-enabled optimization algorithms helped improve logistics efficiency and reduce waste collection costs. Our findings indicate that the adoption of IoT and AI technologies significantly reduced waste by enhancing inventory control, optimizing transportation, and improving supply chain coordination. These digital innovations also align with circular economy principles by minimizing resource consumption and emissions, contributing to broader sustainability and resilience goals in urban environments. The study underscores the importance of integrating digital solutions into waste management strategies to foster more sustainable and efficient urban supply chains. While the research is particularly relevant to the food production and retail sectors, it also provides valuable insights for policymakers, urban planners, and supply chain stakeholders. By bridging theoretical frameworks with practical applications, this study demonstrates the potential of digital technologies to drive sustainability and resilience in smart cities.
C1 [Fatorachian, Hajar; Kazemi, Hadi] Leeds Beckett Univ, Leeds Business Sch, Leeds LS1 3HB, England.
   [Pawar, Kulwant] Univ Nottingham, Business Sch, Nottingham NG8 1BB, England.
C3 Leeds Beckett University; University of Nottingham
RP Fatorachian, H (corresponding author), Leeds Beckett Univ, Leeds Business Sch, Leeds LS1 3HB, England.
EM h.fatorachian@leedsbeckett.ac.uk; h.kazemi@leedsbeckett.ac.uk;
   kul.pawar@nottingham.ac.uk
RI Pawar, Kulwant/AAL-5027-2021
OI Fatorachian, Hajar/0000-0002-2569-7882; Kazemi, Hadi/0000-0001-5982-2605
CR Alam T, 2024, SMART CITIES-BASEL, V7, P2466, DOI 10.3390/smartcities7050096
   [Anonymous], 2013, Towards the Circular Economy - Economic and business rationale for an accelerated transition
   [Anonymous], 2022, What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050. 2022
   [Anonymous], Unilever PLC
   [Anonymous], 2019, The State of Food and Agriculture - Moving forward on food loss and waste reduction
   BARNEY J, 1991, J MANAGE, V17, P99, DOI 10.1177/014920639101700108
   Brusset X, 2017, INT J PROD ECON, V184, P59, DOI 10.1016/j.ijpe.2016.09.008
   Bryman A., 2016, Social research methods
   DiMaggio PJ, 2000, ADV STRATEG MANAGE, V 17, P143, DOI 10.2307/2095101
   Dora M., 2022, J. Clean. Prod, V332, P130015
   Energy and Water Regulatory Commission (EWRC), 2021, Guide to design, issue and recognise microcredentials
   Fatorachian H., 2023, Eur. Econ. Lett, V13, P872, DOI [https://doi.org/10.52783/eel.v13i5.843, DOI 10.52783/EEL.V13I5.843]
   Fatorachian H., 2024, Eco-Innovation and Sustainable Development in Industry 5.0, P172, DOI [10.4018/979-8-3693-2219-2.ch009, DOI 10.4018/979-8-3693-2219-2.CH009]
   Fatorachian H, 2021, PROD PLAN CONTROL, V32, P63, DOI 10.1080/09537287.2020.1712487
   Govindan K., 2020, Transp. Res. Part E Logist. Transp. Rev, V55, P99
   Kamath R, 2018, J BRIT BLOCKCHAIN AS, V1, P47, DOI 10.31585/jbba-1-1-(10)2018
   Kamble S, 2020, INT J PROD RES, V58, P1319, DOI 10.1080/00207543.2019.1630772
   Lipianina-Honcharenko K, 2024, SMART CITIES-BASEL, V7, P78, DOI 10.3390/smartcities7010004
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Onyeaka H., 2023, Waste Manag, V152, P14
   Scholten K., 2020, Int. J. Oper. Prod. Manag, V40, P47
   Trist E. L., 1981, Occasional paper No. 2
   United Nations, 2015, TRANSF OUR WORLD 203, P1
   United Nations Environment Programme, 2021, Food Waste Index Report 2021
   Zhao L., 2020, J. Retail, V96, P23
NR 25
TC 1
Z9 1
U1 4
U2 4
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2025
VL 17
IS 5
AR 1996
DI 10.3390/su17051996
PG 25
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 0EA4K
UT WOS:001445135900001
OA gold
DA 2025-04-22
ER

PT J
AU Chi, GQ
   Boydstun, J
AF Chi, Guangqing
   Boydstun, Jamie
TI Are Gasoline Prices a Factor in Residential Relocation Decisions?
   Preliminary Findings from the American Housing Survey, 1996-2008
SO JOURNAL OF PLANNING EDUCATION AND RESEARCH
LA English
DT Article
DE gasoline price; residential location; smart city; smart community;
   American Housing Survey
ID URBAN FORM; LOCATION CHOICE; COMMUTING TIME; UNITED-STATES; HOUSEHOLD;
   ENERGY; TRANSPORTATION; CONSUMPTION; AREAS; NEIGHBORHOODS
AB Residential relocation choice is affected by numerous factors, but gasoline prices as a potential factor have not been investigated. This study examines gasoline price changes and residential relocation choice using 1996-2008 American Housing Survey data. We found higher gasoline prices are associated with a higher percentage of movers choosing locations closer to workplaces. The findings have implications for addressing the impacts of volatile gasoline prices on land use planning and policies; resilient smart cities or communities are one possible solution.
C1 [Chi, Guangqing] Penn State Univ, Rural Sociol & Demog, University Pk, PA 16802 USA.
   [Chi, Guangqing] Penn State Univ, Social Sci Res Inst, Computat & Spatial Anal Core, University Pk, PA 16802 USA.
   [Chi, Guangqing] Penn State Univ, Populat Res Inst, University Pk, PA 16802 USA.
   [Boydstun, Jamie] Mississippi State Univ, Natl Strateg Planning & Anal Res Ctr, Starkville, MS USA.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park; Penn State Behrend; Pennsylvania Commonwealth System of
   Higher Education (PCSHE); Pennsylvania State University; Penn State
   Behrend; Pennsylvania State University - University Park; Pennsylvania
   Commonwealth System of Higher Education (PCSHE); Pennsylvania State
   University; Penn State Behrend; Pennsylvania State University -
   University Park; Mississippi State University
RP Chi, GQ (corresponding author), Penn State Univ, Dept Agr Econ Sociol & Educ, 112E Armsby Bldg, University Pk, PA 16802 USA.
EM gchi@psu.edu
RI Boydstun, Jamie/IUP-8398-2023; Chi, Guangqing/A-6989-2009
OI Chi, Guangqing/0000-0003-0888-7964; Boydstun, Jamie/0000-0003-1855-2965
FU National Science Foundation [1541136]; National Aeronautics and Space
   Administration [NNX15AP81G]; National Institute of Child Health and
   Human Development [R24 HD04102510]; Div Of Civil, Mechanical, & Manufact
   Inn; Directorate For Engineering [1541136] Funding Source: National
   Science Foundation
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The
   National Science Foundation (award no. 1541136), the National
   Aeronautics and Space Administration (award no. NNX15AP81G), and the
   National Institute of Child Health and Human Development (award no. R24
   HD04102510).
CR Allen R, 2011, J PLAN EDUC RES, V31, P125, DOI 10.1177/0739456X11398044
   Alonso W., 1964, Location and land use: Toward a general theory of land rent, DOI DOI 10.4159/HARVARD.9780674730854
   Anas A, 2012, TRANSPORT RES A-POL, V46, P855, DOI 10.1016/j.tra.2012.02.010
   Anderson WP, 1996, URBAN STUD, V33, P7, DOI 10.1080/00420989650012095
   [Anonymous], PAPERS REGIONAL SCI
   [Anonymous], AM HOUS SURV
   [Anonymous], EKISTICS
   [Anonymous], US ALL GRAD ALL FORM
   [Anonymous], CONS PRIC IND
   Bailey AJ, 2004, ENVIRON PLANN A, V36, P1617, DOI 10.1068/a36198
   Banister D., 1992, SUSTAINABLE DEV URBA, P160
   Chi G., 2005, The Journal of Regional Analysis Policy, V35, P11
   Chi GQ, 2012, URBAN STUD, V49, P2711, DOI 10.1177/0042098011431284
   Chi GQ, 2011, ACCIDENT ANAL PREV, V43, P194, DOI 10.1016/j.aap.2010.08.009
   Chi GQ, 2010, J SAFETY RES, V41, P493, DOI 10.1016/j.jsr.2010.10.003
   Clark W.W. A., 1996, HOUSEHOLDS HOUSING C
   Clark WAV, 2003, REG SCI URBAN ECON, V33, P199, DOI 10.1016/S0166-0462(02)00012-1
   CLARK WAV, 1980, ANN ASSOC AM GEOGR, V70, P59, DOI 10.1111/j.1467-8306.1980.tb01297.x
   CLARK WAV, 1983, URBAN STUD, V20, P47, DOI 10.1080/713703176
   COULSON NE, 1987, J URBAN ECON, V21, P287, DOI 10.1016/0094-1190(87)90003-9
   DAHL C, 1991, ENERG ECON, V13, P203, DOI 10.1016/0140-9883(91)90021-Q
   Day J, 2010, INT J URBAN REGIONAL, V34, P762, DOI 10.1111/j.1468-2427.2010.00916.x
   Dong HW, 2015, J PLAN EDUC RES, V35, P5, DOI 10.1177/0739456X14560769
   Fine J, 2012, ENERG POLICY, V44, P46, DOI 10.1016/j.enpol.2012.01.010
   FUJITA M, 1982, REG SCI URBAN ECON, V12, P161, DOI 10.1016/0166-0462(82)90031-X
   GIULIANO G, 1993, URBAN STUD, V30, P1485, DOI 10.1080/00420989320081461
   Goodwin P, 2004, TRANSPORT REV, V24, P275, DOI 10.1080/0144164042000181725
   Grabowski DC, 2004, J POLICY ANAL MANAG, V23, P575, DOI 10.1002/pam.20028
   Graham DJ, 2004, TRANSPORT REV, V24, P261, DOI 10.1080/0144164032000101193
   GREENWOOD MJ, 1975, J ECON LIT, V13, P397
   Guhathakurta S, 1999, J PLAN EDUC RES, V18, P281, DOI 10.1177/0739456X9901800401
   Haggett P., 1977, LOCATIONAL ANAL HUMA
   HAINES VA, 1986, URBAN AFF REV, V21, P337, DOI 10.1177/004208168602100304
   Holden E, 2005, URBAN STUD, V42, P2145, DOI 10.1080/00420980500332064
   Ibeas A, 2013, TRANSPORT RES A-POL, V49, P110, DOI 10.1016/j.tra.2013.01.008
   Ihrke David., 2014, Reason for Moving: 2012 to 2013, P20
   Isserman AM, 2001, INT REGIONAL SCI REV, V24, P38, DOI 10.1177/016001701761013006
   Isserman AM, 2009, INT REGIONAL SCI REV, V32, P300, DOI 10.1177/0160017609336090
   Johnson KennethM., 1999, Population Reference Bureau, V1, P1
   Karlsson V, 2011, SPAT ECON ANAL, V6, P223, DOI 10.1080/17421772.2011.557774
   KENWORTHY JR, 1990, EKISTICS, V57, P258
   Kim CS, 2008, TRANSPORT RES A-POL, V42, P524, DOI 10.1016/j.tra.2008.01.001
   Korsu E, 2012, ENVIRON PLANN A, V44, P1951, DOI 10.1068/a44636
   Lane BW, 2010, J TRANSP GEOGR, V18, P214, DOI 10.1016/j.jtrangeo.2009.04.002
   LAVE CA, 1978, POLICY ANAL, V4, P297
   Lee BHY, 2010, TRANSPORTATION, V37, P587, DOI 10.1007/s11116-010-9270-4
   Lee B, 2013, J AM PLANN ASSOC, V79, P314, DOI 10.1080/01944363.2014.915629
   LEE ES, 1966, DEMOGRAPHY, V3, P47, DOI 10.2307/2060063
   Lee S.W., 2003, Journal of Housing and the Built Environment, V18, P129
   Levine J, 1998, J AM PLANN ASSOC, V64, P133, DOI 10.1080/01944369808975972
   Levinson D.M., 1998, Journal of Transport Geography, V6, P11, DOI [DOI 10.1016/S0966-6923(97)00036-7, 10.1016/S0966-6923(97)00036-7]
   Levinson D, 2009, REG SCI URBAN ECON, V39, P732, DOI 10.1016/j.regsciurbeco.2009.07.003
   Lucas RE, 2002, ECONOMETRICA, V70, P1445, DOI 10.1111/1468-0262.00338
   Mattingly K, 2014, CITIES, V38, P69, DOI 10.1016/j.cities.2014.01.004
   McCann P., 2001, Urban and Regional Economics
   McFadden D., 1978, Spatial interaction Theory and Planning, V673, P72
   McKinnish T, 2008, DEMOGRAPHY, V45, P829
   Mills ES, 1967, AM ECON REV, V57, P197
   Molloy R, 2013, REV ECON STAT, V95, P1212, DOI 10.1162/REST_a_00331
   NEWMAN PWG, 1989, J AM PLANN ASSOC, V55, P24, DOI 10.1080/01944368908975398
   Rietveld P, 2004, ENVIRON PLANN A, V36, P2047, DOI 10.1068/a36200
   ROBACK J, 1982, J POLIT ECON, V90, P1257, DOI 10.1086/261120
   Rouwendal J, 2001, J REGIONAL SCI, V41, P475, DOI 10.1111/0022-4146.00227
   Salon D, 2009, TRANSPORT RES A-POL, V43, P180, DOI 10.1016/j.tra.2008.10.002
   Shuttleworth I, 2010, ENVIRON PLANN A, V42, P1221, DOI 10.1068/a41372
   Small K., 1980, INT REGIONAL SCI REV, V5, P97
   So KS, 2001, AM J AGR ECON, V83, P1036, DOI 10.1111/0002-9092.00228
   Tillema T, 2010, TRANSPORT RES A-POL, V44, P785, DOI 10.1016/j.tra.2010.07.009
   van Ommeren J, 1999, J URBAN ECON, V46, P230, DOI 10.1006/juec.1998.2120
   WEINBERG DH, 1979, REG SCI URBAN ECON, V9, P219, DOI 10.1016/0166-0462(79)90014-0
   Zhang Y, 2010, J PLAN EDUC RES, V30, P117, DOI 10.1177/0739456X10381386
NR 72
TC 8
Z9 9
U1 1
U2 31
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0739-456X
EI 1552-6577
J9 J PLAN EDUC RES
JI J. Plan. Educ. Res.
PD SEP
PY 2017
VL 37
IS 3
BP 334
EP 346
DI 10.1177/0739456X16657159
PG 13
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA FD8XI
UT WOS:000407807000007
PM 29658959
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Dai, LP
   Wörner, R
   van Rijswick, HFMW
AF Dai, Liping
   Worner, Rebecca
   van Rijswick, Helena F. M. W.
TI Rainproof cities in the Netherlands: approaches in Dutch water
   governance to climate-adaptive urban planning
SO INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT
LA English
DT Article
DE Climate adaptation; urban planning; governance; rainproof; sponge
   cities; urban flooding; Netherlands
ID FLOOD RISK GOVERNANCE; ADAPTATION; DYNAMICS
AB Due to increasingly frequent incidents of pluvial flooding of public spaces and private properties, climate-adaptive building and urban water management are gaining momentum in Dutch water governance. This study assesses the Dutch approach to urban water management by looking at the governance approaches of three of the largest Dutch municipalities: Amsterdam, Rotterdam and Utrecht. By analyzing the municipalities' governance approaches in a holistic way, paying attention to knowledge, organization and implementation, the research provides good practices in terms of different aspects of resilience as well as lessons regarding setting performance indicators in service levels, clarifying responsibility division, applying binding rules instead of soft policies, and more.
C1 [Dai, Liping] Hubei Univ Econ, Sch Law, Wuhan, Hubei, Peoples R China.
   [Dai, Liping; van Rijswick, Helena F. M. W.] Univ Utrecht, Utrecht Ctr Water Oceans & Sustainabil Law, Fac Law Econ & Governance, Utrecht, Netherlands.
   [Worner, Rebecca] Univ Utrecht, Sch Law, Utrecht, Netherlands.
C3 Hubei University of Economics; Utrecht University; Utrecht University
RP Dai, LP (corresponding author), Hubei Univ Econ, Sch Law, Wuhan, Hubei, Peoples R China.; Dai, LP (corresponding author), Univ Utrecht, Utrecht Ctr Water Oceans & Sustainabil Law, Fac Law Econ & Governance, Utrecht, Netherlands.
EM l.dai@uu.nl
RI Dai, Liping/E-6089-2013
OI van Rijswick, Helena/0000-0002-0492-1718
FU Future Deltas Research Focus Area of Utrecht University, under WBS Grant
   [WA.147101.2.707]
FX This work was supported by the Future Deltas Research Focus Area of
   Utrecht University, under WBS Grant No. WA.147101.2.707 and
   Institutions-Seed Money 4th round.
CR Albers RAW, 2015, BUILD ENVIRON, V83, P1, DOI 10.1016/j.buildenv.2014.09.006
   [Anonymous], 2014, OECD Studies on Water, DOI DOI 10.1787/9789264102637-EN
   [Anonymous], 2015, J WATER LAW
   Boogaard F., 2015, THESIS U DELFT DELFT, P149
   Dai LP, 2018, INT J WATER RESOUR D, V34, P578, DOI 10.1080/07900627.2017.1373637
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   Gilissen H. K., 2015, Journal of Water Law, V24, P157
   Hassing J., 2009, INTEGRATED WATER RES
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   Huitema D, 2009, ECOL SOC, V14
   Kaufmann Maria, 2016, Analysing and Evaluating Flood Risk Governance in the Netherlands: Drowning in Safety?
   Kavaratzis M, 2013, MARKETING THEOR, V13, P69, DOI 10.1177/1470593112467268
   Keessen A, 2016, ECOL SOC, V21, DOI 10.5751/ES-08874-210435
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Massey E, 2015, J WATER CLIM CHANGE, V6, P9, DOI 10.2166/wcc.2014.110
   Mees H, 2014, RESPONSIBLE CLIMATE
   Mees H, 2016, ECOL SOC, V21, DOI 10.5751/ES-08500-210307
   Mees HLP, 2014, ECOL SOC, V19, DOI 10.5751/ES-06639-190258
   Mees HLP, 2014, REG ENVIRON CHANGE, V14, P671, DOI 10.1007/s10113-013-0527-2
   Mees HLP, 2013, J ENVIRON PLANN MAN, V56, P802, DOI 10.1080/09640568.2012.706600
   Priest SJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08913-210450
   Runhaar HAC, 2016, REG ENVIRON CHANGE, V16, P1389, DOI 10.1007/s10113-015-0866-2
   Termeer C., 2011, Climate Law, V2, P159, DOI [10.1163/ CL-2011-032, DOI 10.1163/CL-2011-032, 10.1163/CL-2011-032]
   Uittenbroek C., 2014, How mainstream is mainstreaming?: The integration of climate adaptation into urban policy
   United Nation, 2009, UNISDR terminology on disaster risk reduction
   Van Buuren Arwin., 2014, ADAPTATION CLIMATE C, P374
   Van de Ven F., 2011, BUILDING NETHERLANDS
   van Doorn-Hoekveld W, 2014, UTRECHT LAW REV, V10, P216, DOI 10.18352/ulr.279
   van Doorn-Hoekveld WJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08648-210426
   van Rijswick H.F. M. W., 2012, European and Dutch water law
   van Rijswick M, 2014, WATER INT, V39, P725, DOI 10.1080/02508060.2014.951828
   Ward PJ, 2013, ENVIRON POLIT, V22, P518, DOI 10.1080/09644016.2012.683155
   Waternet, 2016, GEM RIOL AMST 2016 2
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NR 63
TC 41
Z9 45
U1 6
U2 77
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0790-0627
EI 1360-0648
J9 INT J WATER RESOUR D
JI Int. J. Water Resour. Dev.
PY 2018
VL 34
IS 4
SI SI
BP 652
EP 674
DI 10.1080/07900627.2017.1372273
PG 23
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA GI4IG
UT WOS:000434334100013
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Haase, D
AF Haase, Dagmar
TI Continuous integration in urban social-ecological systems science needs
   to allow for spacing co-existence
SO AMBIO
LA English
DT Article
DE Integration; Social-ecological systems; Urban systems
AB Urbanization brings benefits and burdens to both humans and nature. Cities are key systems for integrated social-ecological research and the interdisciplinary journal of Ambio has published ground-breaking contributions in this field. This reflection piece identifies and discusses integration of the human and natural spheres in urban social-ecological research using the following foundational papers as important milestones: Folke et al. (1997), Ernstson et al. (2010) and Andersson et al. (2014). These papers each take unique approaches that aim to uncover core properties-processes, structures, and actors-of urban systems and set them into mutual relationship. This piece will end with a forward-looking vision for the coming 50 years of urban sustainability and resilience study in Ambio.
C1 [Haase, Dagmar] Humboldt Univ, Dept Geog, Rudower Chaussee 16, D-12489 Berlin, Germany.
   [Haase, Dagmar] Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Permsoser St 15, D-04318 Leipzig, Germany.
C3 Humboldt University of Berlin; Helmholtz Association; Helmholtz Center
   for Environmental Research (UFZ)
RP Haase, D (corresponding author), Humboldt Univ, Dept Geog, Rudower Chaussee 16, D-12489 Berlin, Germany.; Haase, D (corresponding author), Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Permsoser St 15, D-04318 Leipzig, Germany.
EM dagmar.haase@geo.hu-berlin.de
OI Haase, Dagmar/0000-0003-4065-5194
FU Projekt DEAL
FX Open Access funding enabled and organized by Projekt DEAL.
CR Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   Bai XM, 2014, NATURE, V509, P158, DOI 10.1038/509158a
   Bai XM, 2012, ENVIRON SCI TECHNOL, V46, P132, DOI 10.1021/es202329f
   Barrows HH, 1923, ANN ASSOC AM GEOGR, V13, P1
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   ELS E, 2018, URBAN FOR URBAN GREE
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Folke C, 1997, AMBIO, V26, P167
   Folke C, 2011, AMBIO, V40, P719, DOI 10.1007/s13280-011-0184-y
   Haase A, 2020, FRONT SOCIOL, V5, DOI 10.3389/fsoc.2020.583638
   Haase D, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066531
   Jenks M, 2010, FUTURE CITY, V2, P1
   Kühn I, 2006, BIOL CONSERV, V127, P292, DOI 10.1016/j.biocon.2005.06.033
   Leser, 2008, EINFUHRUNG STADTOKOL
   MacLeod M, 2018, SYNTHESE, V195, P697, DOI 10.1007/s11229-016-1236-4
   MCDONALD R, 2019, NAT SUSTAIN
   MCPHEARSON T, 2016, BIOSCIENCE
   PIETERSE JN, 1994, INT SOCIOL, V9, P161, DOI 10.1177/026858094009002003
   Seto K, 2014, J LUPP SERIES, V14
   Urbanska K, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221907
   Wolff M, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00061
   Wu T, 2017, AMBIO, V46, P18, DOI 10.1007/s13280-016-0809-2
NR 23
TC 9
Z9 10
U1 2
U2 27
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD SEP
PY 2021
VL 50
IS 9
SI SI
BP 1644
EP 1649
DI 10.1007/s13280-020-01449-y
EA MAR 2021
PG 6
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology
GA TJ1YY
UT WOS:000628198400004
PM 33710517
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Choi, Y
   Marcouiller, DW
   Kim, H
AF Choi, Yeol
   Marcouiller, David W.
   Kim, Hyun
TI What drives survival of urban firms? An asset-based approach in Korea
SO INTERNATIONAL JOURNAL OF URBAN SCIENCES
LA English
DT Article
DE Agglomeration advantage; Cox proportional hazard model; spatial
   proximity; urban firm; urban spatial structure
ID SMALL BUSINESS SURVIVAL; INNER-CITY; AGGLOMERATION; DETERMINANTS;
   INNOVATION; ECONOMIES; GROWTH; SIZE; RESILIENCE; DIVERSITY
AB In this study we examine the effect of internal firm assets and external firm assets on firm survival in a metropolitan region of South Korea during a 22-year period (1990-2012). Drawing upon secondary data for three urban firm types (manufacturing, construction, and service), we apply a spatial Cox proportional hazard model and time series intervention to examine empirical associations. Results suggest that larger and older firms positively contributed to stronger regional economic outcome. Further, those in close spatial proximity to related firms survived longer. Increased survival of urban firms is associated with firm capacities in the context of external economic shocks.
C1 [Choi, Yeol] Pusan Natl Univ, Dept Urban Engn, Busan, South Korea.
   [Marcouiller, David W.] Univ Wisconsin, Urban & Reg Planning, Madison, WI USA.
   [Kim, Hyun] Chungnam Natl Univ, Coll Social Sci, Daejeon, South Korea.
C3 Pusan National University; University of Wisconsin System; University of
   Wisconsin Madison; Chungnam National University
RP Kim, H (corresponding author), Chungnam Natl Univ, Coll Social Sci, Daejeon, South Korea.
EM hkim9129@gmail.com
CR Acs ZJ, 2007, PAP REG SCI, V86, P367, DOI 10.1111/j.1435-5957.2007.00129.x
   Agarwal DP, 2001, ALCOHOL IN HEALTH AND DISEASE, P49
   Agarwal R, 2002, AM ECON REV, V92, P184, DOI 10.1257/000282802320189221
   [Anonymous], 2002, EC AGGLOMERATION
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Audretsch DB, 1999, INT J IND ORGAN, V17, P965, DOI 10.1016/S0167-7187(98)00002-2
   AUDRETSCH DB, 1995, REV ECON STAT, V77, P97, DOI 10.2307/2109995
   Ayala JC, 2014, J ECON PSYCHOL, V42, P126, DOI 10.1016/j.joep.2014.02.004
   Basile R, 2017, REG STUD, V51, P548, DOI 10.1080/00343404.2015.1114175
   Bercovitz J, 2007, STRATEGIC MANAGE J, V28, P61, DOI 10.1002/smj.568
   Braunerhjelm P, 2004, REG STUD, V38, P929, DOI 10.1080/0034340042000280947
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Buddelmeyer H, 2010, OXFORD ECON PAP, V62, P261, DOI 10.1093/oep/gpp012
   Buliga O., 2016, Journal of Business Economics, V86, P647, DOI [DOI 10.1007/S11573-015-0796-Y, 10.1007/s11573-015-0796-y]
   Busan Metropolitan City, 2011, 2030 MASTERPLAN BUSA
   Cader HA, 2011, SMALL BUS ECON, V37, P155, DOI 10.1007/s11187-009-9240-4
   Cheng SM, 2011, REG STUD, V45, P773, DOI 10.1080/00343401003713415
   Christie T, 2012, GROWTH CHANGE, V43, P110, DOI 10.1111/j.1468-2257.2011.00579.x
   Chun K. K., 2016, J KOREA PLANNING ASS, V51, P45, DOI [10.17208/jkpa.2016.02.51.1.45, DOI 10.17208/JKPA.2016.02.51.1.45]
   Chung S, 2016, ANN REGIONAL SCI, V56, P229, DOI 10.1007/s00168-015-0732-7
   Ciccone A, 1996, AM ECON REV, V86, P54
   2010, [No title captured]
   de Jong JPJ, 2015, ENTREP THEORY PRACT, V39, P1005, DOI 10.1111/etap.12086
   Delfmann H, 2016, ANN REGIONAL SCI, V56, P33, DOI 10.1007/s00168-015-0738-1
   Disney R, 2003, LABOUR MARKET UNDER NEW LABOUR: THE STATE OF WORKING BRITAIN 2003, P53
   Drennan MP, 2018, INT J URBAN SCI, V22, P1, DOI 10.1080/12265934.2017.1407253
   Emery M., 2006, 400 PRACTICRE, V13, P1
   Esteve-Perez S, 2008, SMALL BUS ECON, V30, P231, DOI 10.1007/s11187-006-9011-4
   Falck O, 2007, APPL ECON, V39, P2039, DOI 10.1080/00036840600749615
   Fang L, 2019, ECON DEV Q, V33, P6, DOI 10.1177/0891242418800770
   Fiksel J., 2015, Resilient by Design: Creating Businesses That Adapt and Flourish in a Changing World
   Flora C.B., 2004, Rural communities: Legacy and change, V2nd
   Forsyth GD, 2005, GROWTH CHANGE, V36, P428, DOI 10.1111/j.1468-2257.2005.00284.x
   Garmestani AS, 2006, ENVIRON DEV ECON, V11, P533, DOI 10.1017/S1355770X06003081
   Geroski PA, 2010, STRATEGIC MANAGE J, V31, P510, DOI 10.1002/smj.823
   Headd B, 2003, SMALL BUS ECON, V21, P51, DOI 10.1023/A:1024433630958
   Hong SH, 2014, PAP REG SCI, V93, DOI 10.1111/pirs.12029
   Jensen PH, 2008, ECON REC, V84, P434, DOI 10.1111/j.1475-4932.2008.00509.x
   Johansson B, 2004, PAP REG SCI, V83, P165, DOI 10.1007/s10110-003-0181-z
   Kickert C, 2018, URBAN STUD, V55, P1033, DOI 10.1177/0042098017694131
   Kim C. B., 2008, INT AREA STUDIES REV, V12
   Kim H, 2015, HABITAT INT, V49, P497, DOI 10.1016/j.habitatint.2015.07.003
   Klepper S, 2000, J POLIT ECON, V108, P728, DOI 10.1086/316100
   Korunka C, 2010, J OCCUP ORGAN PSYCH, V83, P1025, DOI 10.1348/096317909X485135
   Lee D, 2017, GROWTH CHANGE, V48, P246, DOI 10.1111/grow.12184
   Lim J, 2020, CITIES, V100, DOI 10.1016/j.cities.2020.102643
   Lin PC, 2008, SMALL BUS ECON, V30, P175, DOI 10.1007/s11187-006-9026-x
   Low SA, 2017, GROWTH CHANGE, V48, P297, DOI 10.1111/grow.12171
   Mack EA, 2019, URBAN AFF REV, V55, P530, DOI 10.1177/1078087417709600
   Malizia EmilE., 2000, UNDERSTANDING LOCAL
   Maoh H., 2013, Employment location in cities and regions: Models and applications, P243, DOI 10.1007/978-3-642-31779-8_12
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Mas-Verdú F, 2015, J BUS RES, V68, P793, DOI 10.1016/j.jbusres.2014.11.030
   MATA J, 1994, J IND ECON, V42, P227, DOI 10.2307/2950567
   Nickell P, 2000, J BANK FINANC, V24, P203, DOI 10.1016/S0378-4266(99)00057-6
   Porter M.E., 2000, OXFORD HDB EC GEOGRA, P253
   Porter ME, 1997, ECON DEV Q, V11, P11, DOI 10.1177/089124249701100102
   Power B, 2019, URBAN STUD, V56, P3358, DOI 10.1177/0042098018817428
   Ray DM, 2017, ENVIRON PLANN A, V49, P952, DOI 10.1177/0308518X16681788
   Renski H, 2015, GROWTH CHANGE, V46, P458, DOI 10.1111/grow.12099
   Renski H, 2011, PAP REG SCI, V90, P473, DOI 10.1111/j.1435-5957.2010.00325.x
   Scott AJ, 2003, REG STUD, V37, P579, DOI 10.1080/0034340032000108697a
   Segarra A, 2002, REV IND ORGAN, V20, P1, DOI 10.1023/A:1013309928700
   Shaffer R, 2006, ECON DEV Q, V20, P59, DOI 10.1177/0891242405283106
   Slaper TF, 2018, ECON DEV Q, V32, P44, DOI 10.1177/0891242417752248
   Sleutjes B, 2012, J URBAN AFF, V34, P533, DOI 10.1111/j.1467-9906.2012.00616.x
   Staber U, 2001, REG STUD, V35, P329, DOI 10.1080/00343400125106
   Theyel G, 2018, ECON DEV Q, V32, P300, DOI 10.1177/0891242418800222
   Tsvetkova A., 2013, STUDIES REGIONAL SCI, V43
   Tsvetkova A, 2014, SMALL BUS ECON, V43, P661, DOI 10.1007/s11187-014-9550-z
   Tveterås R, 2000, SMALL BUS ECON, V14, P65, DOI 10.1023/A:1008189411442
   Westeren K.I, 2018, COMPETITIVENESS KNOW
   Westeren KI, 2012, FOUNDATIONS OF THE KNOWLEDGE ECONOMY: INNOVATION, LEARNING AND CLUSTERS, P1
   Yi Y, 2018, ANN REGIONAL SCI, V61, P439, DOI 10.1007/s00168-018-0875-4
   Zhang S., 2020, CITIES, V97
NR 75
TC 2
Z9 2
U1 1
U2 21
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1226-5934
EI 2161-6779
J9 INT J URBAN SCI
JI Int. J. Urban Sci.
PD OCT 2
PY 2021
VL 25
IS 4
BP 574
EP 592
DI 10.1080/12265934.2020.1867624
EA DEC 2020
PG 19
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA WW3DI
UT WOS:000603897500001
DA 2025-04-22
ER

PT J
AU Vivek, S
   Conner, H
AF Vivek, Skanda
   Conner, Hannah
TI Urban road network vulnerability and resilience to large-scale attacks
SO SAFETY SCIENCE
LA English
DT Article
DE Cyber-attacks; Urban road networks; Complex networks; Critical
   Infrastructure; Unsupervised machine learning; Smart city safety
ID TRANSITION
AB The rise of connected vehicles and intelligent transportation lead to the emergence of novel complex risks. Of particular concern is the potential for large-scale attacks to disrupt road transportation, which is the lifeline of cities. This concern has only been growing with the increase in cybersecurity incidents and disinformation attacks in related infrastructures. In this study, we develop a framework to quantify, detect, and mitigate cascading consequences of attacks on road transportation networks. Application of our framework to the road network of Boston reveals that targeted attacks on a small fraction of nodes leads to disproportionately larger disruptions of routes. We develop an unsupervised machine learning algorithm based on network percolation theory and density based clustering (P-DBSCAN) to quantify risk for urban networks based on real-time traffic data. Our study illustrates a holistic approach to build resilience in existing road networks to attacks. Finally, we discuss the applicability of our framework in other smart city infrastructures.
C1 [Vivek, Skanda; Conner, Hannah] Georgia Gwinnett Coll, Sch Sci & Technol, Lawrenceville, GA 30043 USA.
C3 University System of Georgia; Georgia Gwinnett College
RP Vivek, S (corresponding author), Georgia Gwinnett Coll, Sch Sci & Technol, Lawrenceville, GA 30043 USA.
EM svivek@ggc.edu
OI Vivek, Skanda/0000-0003-3158-5702
CR Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   Amoozadeh M, 2015, IEEE COMMUN MAG, V53, P126, DOI 10.1109/MCOM.2015.7120028
   [Anonymous], 2011, 3 INT C ADV SYST SIM
   [Anonymous], 2018, DRIVERLESS TESTING A
   [Anonymous], 2007, 4 INTERNAT C INFORM
   [Anonymous], 2017, AUTONOMOUS CARS HUMA
   [Anonymous], 2014, Wired
   [Anonymous], 2019, Kill Switch: Why Connected Cars can be Killing Machines and how to Turn Them Off Investigative Report
   [Anonymous], 2016, VEH CYB DOT IND HAV, P16
   Arief R, 2020, J INF SECUR APPL, V51, DOI 10.1016/j.jisa.2020.102450
   Axelrod CW, 2017, 2017 IEEE LONG ISLAND SYSTEMS, APPLICATIONS AND TECHNOLOGY CONFERENCE (LISAT)
   Batista Rodrigo de Abreu, 2015, Polibits, V0, P85
   Berdica K., 2002, TRANSPORT POLICY, V9, P117, DOI DOI 10.1016/S0967-070X(02)00011-2
   Bissmeyer N., 2010, Proceedings 2010 IEEE Vehicular Networking Conference (VNC 2010), P166, DOI 10.1109/VNC.2010.5698232
   BLASHFIELD RK, 1991, J CLASSIF, V8, P277
   Boeing G, 2018, SSRN ELECT J, DOI DOI 10.2139/SSRN.3145515
   Boeing G, 2017, COMPUT ENVIRON URBAN, V65, P126, DOI 10.1016/j.compenvurbsys.2017.05.004
   Bollobas B, 2001, RANDOM GRAPHS
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Burpee D., 2006, U.s. - canada power system outage task force: final report on the implementation of task force recommendations
   Cao YL, 2019, PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19), P2267, DOI 10.1145/3319535.3339815
   Cerrudo Cesar., 2015, Securing Smart Cities, V17, P137
   Chen QA, 2018, 25TH ANNUAL NETWORK AND DISTRIBUTED SYSTEM SECURITY SYMPOSIUM (NDSS 2018), DOI 10.14722/ndss.2018.23222
   Colak S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10793
   Dohm S, 2020, J CHEM THEORY COMPUT, V16, P2002, DOI 10.1021/acs.jctc.9b01266
   Duan DL, 2019, P NATL ACAD SCI USA, V116, P22452, DOI 10.1073/pnas.1904421116
   Eiza MH, 2017, IEEE VEH TECHNOL MAG, V12, P45, DOI 10.1109/MVT.2017.2669348
   Ester M., 1996, P KDD 94, VVolume 96, P226
   Fleurquin P, 2013, SCI REP-UK, V3, DOI 10.1038/srep01159
   Franceschi-Bicchierai Lorenzo, 2019, MOTHERBOARD
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Giridhar P, 2016, PERVASIVE MOB COMPUT, V33, P140, DOI 10.1016/j.pmcj.2016.03.005
   Group K.F.H., 2013, TRANSIT CAPACITY QUA, DOI DOI 10.17226/24766
   Hagberg A.A., 2008, EXPLORING NETWORK ST, P11, DOI DOI 10.25080/TCWV9851
   Harry C., 2018, J. Inf. Warf, V17, P17
   Haw JY, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13222
   Jiang S, 2016, P NATL ACAD SCI USA, V113, pE5370, DOI 10.1073/pnas.1524261113
   Kenneally E., 2018, 2018 INT C CYB SIT A, P1, DOI DOI 10.1109/CYBERSA.2018.8551399
   Khakzad N, 2015, RELIAB ENG SYST SAFE, V143, P63, DOI 10.1016/j.ress.2015.04.015
   Koscher K, 2010, P IEEE S SECUR PRIV, P447, DOI 10.1109/SP.2010.34
   Kumar Dheeraj, 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM), P318, DOI 10.1109/MDM.2016.54
   Laszka Aron, 2016, 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS), P1, DOI 10.1109/ICCPS.2016.7479122
   Levy-Bencheton C., 2015, TECHNICAL REPORT
   Li DQ, 2015, P NATL ACAD SCI USA, V112, P669, DOI 10.1073/pnas.1419185112
   Linkov Igor, 2013, Environment Systems & Decisions, V33, P471, DOI 10.1007/s10669-013-9485-y
   Loo BPY, 2017, TRANSPORT RES A-POL, V106, P100, DOI 10.1016/j.tra.2017.09.003
   Lou YY, 2011, TRANSPORT RES REC, P31, DOI 10.3141/2234-04
   Miller C., 2015, REMOTE EXPLOITATION, V91, P1
   Motter AE, 2004, PHYS REV LETT, V93, DOI 10.1103/PhysRevLett.93.098701
   Motter AE, 2002, PHYS REV E, V66, DOI 10.1103/PhysRevE.66.065102
   Pan B., 2013, P 21 ACM SIGSPATIAL, P344, DOI DOI 10.1145/2525314.2525343
   Parkinson S, 2017, IEEE T INTELL TRANSP, V18, P2898, DOI 10.1109/TITS.2017.2665968
   Quattrociocchi W, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087986
   Ruan ZY, 2019, PHYSICA A, V527, DOI 10.1016/j.physa.2019.121287
   Saberi M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15353-2
   Schneider CM, 2013, J R SOC INTERFACE, V10, DOI 10.1098/rsif.2013.0246
   Schoier G, 2017, LECT NOTES COMPUT SC, V10407, P571, DOI 10.1007/978-3-319-62401-3_41
   Sun Yu, J ADV TRANSPORT, V2021
   Vivek S, 2019, PHYS REV E, V100, DOI 10.1103/PhysRevE.100.012316
   Waniek M, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-84291-w
   Zeng GW, 2019, P NATL ACAD SCI USA, V116, P23, DOI 10.1073/pnas.1801545116
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhu Yuan., 2019, Modeling and simulation of cascading failures in transportation systems during hurricane evacuations
NR 64
TC 19
Z9 23
U1 22
U2 129
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0925-7535
EI 1879-1042
J9 SAFETY SCI
JI Saf. Sci.
PD MAR
PY 2022
VL 147
AR 105575
DI 10.1016/j.ssci.2021.105575
PG 11
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA 1L6BF
UT WOS:000799370700001
DA 2025-04-22
ER

PT J
AU Hu, H
   Yan, KG
   Fan, HB
   Lv, TG
   Zhang, XM
AF Hu, Han
   Yan, Kegao
   Fan, Houbao
   Lv, Tiangui
   Zhang, Xinmin
TI Detecting regional unevenness and influencing factors of ecological
   resilience in China
SO ENERGY & ENVIRONMENT
LA English
DT Article; Early Access
DE ecological resilience; regional unevenness; influencing factors; China
ID URBANIZATION; FRAMEWORK
AB Existing research on the state transition process of ecological resilience (ER) has neglected the ultimate goal of enhancing well-being and lacks theoretical framework support. To address these issues, we have innovatively developed a three-dimensional analysis framework of "resistant, absorptive, and restorative capacity" to measure ER. We also explored the regional unevenness and factors influencing ER at the provincial level in China through spatiotemporal evolution analysis and GeoDetector models. The results indicate that: the ecological resilience of Chinese provinces ranges from 0.415 to 0.596, with all provinces falling into the risk or good areas. Furthermore, a fluctuating and increasing trend is observed. The eastern coastal provinces, such as Beijing and Shandong, comprise predominantly good areas of ecological resilience that are distributed in a band manner, while the western provinces, notably Xinjiang, comprise primarily risk areas distributed in a clustered pattern. The per capita electricity consumption, per capita GDP, and patent applications in high-tech industries are identified as the primary factors influencing the spatiotemporal heterogeneity of ecological resilience, and the interaction effects of each factor have synergistic enhancement effects. Spatial ecological resilience displays certain degrees of "nonhomogeneous" agglomeration and spatial heterogeneity. However, no apparent spatial polarization phenomenon is observed. These findings provide valuable insights for cities aiming to address ecological risks and enhance urban resilience.
C1 [Hu, Han; Yan, Kegao] Hunan Univ, Sch Publ Adm, Changsha, Peoples R China.
   [Fan, Houbao; Zhang, Xinmin] Jiangxi Univ Finance & Econ, Sch Appl Econ, Nanchang, Peoples R China.
   [Lv, Tiangui] Jiangxi Univ Finance & Econ, Sch Publ Finance & Publ Adm, Nanchang, Peoples R China.
C3 Hunan University; Jiangxi University of Finance & Economics; Jiangxi
   University of Finance & Economics
RP Lv, TG (corresponding author), Jiangxi Univ Finance & Econ, Sch Publ Finance & Publ Adm, Nanchang, Peoples R China.
EM lvtiangui@jxufe.edu.cn
RI Han, Hu/KGL-1078-2024; Fan, houbao/GQZ-7022-2022; Lv,
   Tiangui/GWC-4432-2022
OI Fan, Houbao/0009-0003-5959-654X; Hu, Han/0000-0002-9738-3241
FU National Natural Science Foundation of China [42261049]; National
   Natural Science Foundation of China [20232BAB203061, 20232BAA10026];
   Natural Science Foundation of Jiangxi Province
FX This study is supported by the National Natural Science Foundation of
   China (No. 42261049), and the Natural Science Foundation of Jiangxi
   Province (No.20232BAB203061 & No.20232BAA10026).
CR Ahmed Z, 2022, ENERG ENVIRON-UK, V33, P1417, DOI 10.1177/0958305X211041780
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Bottero M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080242
   Caillon S, 2017, ECOL SOC, V22, DOI 10.5751/ES-09746-220427
   Calderón-Argelich A, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104130
   Chang HJ, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102786
   Chen JD, 2020, TECHNOL FORECAST SOC, V153, DOI 10.1016/j.techfore.2020.119938
   Chen MM, 2018, ENVIRON SCI POLLUT R, V25, P14068, DOI 10.1007/s11356-018-1547-8
   Chen M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12062819
   Choi E, 2022, INT J DISAST RISK RE, V71, DOI 10.1016/j.ijdrr.2022.102817
   EHRLICH PR, 1971, SCIENCE, V171, P1212, DOI 10.1126/science.171.3977.1212
   ESTEBAN JM, 1994, ECONOMETRICA, V62, P819, DOI 10.2307/2951734
   Fistola R, 2020, ENVIRON IMPACT ASSES, V85, DOI 10.1016/j.eiar.2020.106464
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fu SK, 2023, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-023-29451-3
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu H, 2023, PHYS CHEM EARTH, V129, DOI 10.1016/j.pce.2023.103360
   Hu MJ, 2022, ENERG ENVIRON-UK, V33, P1181, DOI 10.1177/0958305X211069324
   Hu MJ, 2021, APPL SPAT ANAL POLIC, V14, P999, DOI 10.1007/s12061-021-09389-0
   Huber MT, 2022, SCI SOC, V86, P546, DOI 10.1521/siso.2022.86.4.546
   Hwang I., 2008, ECO, V12, P153
   Keating A, 2017, DEV POLICY REV, V35, P65, DOI 10.1111/dpr.12201
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Li RR, 2023, ENERGY STRATEG REV, V49, DOI 10.1016/j.esr.2023.101121
   Li RR, 2023, RESOUR POLICY, V85, DOI 10.1016/j.resourpol.2023.103890
   Li RR, 2022, J CLEAN PROD, V346, DOI 10.1016/j.jclepro.2022.131207
   Li RR, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103880
   Lin SF, 2017, J CLEAN PROD, V166, P952, DOI 10.1016/j.jclepro.2017.08.107
   LV T.G., 2023, Regional Research and Development, V42, P54, DOI DOI 10.3969/J.ISSN.1003-2363.2023.01.010
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Myrdal G., 1957, EC THEORY UNDER DEV
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Shen Q, 2023, ENERG ENVIRON-UK, DOI 10.1177/0958305X231201232
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Standish RJ, 2013, LANDSCAPE ECOL, V28, P1213, DOI 10.1007/s10980-012-9752-1
   Sun ZX, 2019, ENVIRON SCI TECHNOL, V53, P1048, DOI 10.1021/acs.est.8b03148
   Tietenberg ThomasH., 2011, Environmental and Natural Resource Economics
   Tsui KY., 1998, Polarisation ordering and new classes of polarisation indices, P3531358
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Wang HY, 2011, ENVIRON EARTH SCI, V64, P1921, DOI 10.1007/s12665-011-1005-0
   Wang JF, 2010, INT J GEOGR INF SCI, V24, P107, DOI 10.1080/13658810802443457
   Wang Q, 2024, GONDWANA RES, V129, P371, DOI 10.1016/j.gr.2023.05.016
   Wang Q, 2023, J CLEAN PROD, V412, DOI 10.1016/j.jclepro.2023.137389
   Wang Q, 2022, J CLEAN PROD, V354, DOI 10.1016/j.jclepro.2022.131706
   Wu CW, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.989963
   Wu XT, 2021, ECOSYST SERV, V51, DOI 10.1016/j.ecoser.2021.101348
   Yi CX, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdf09
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhang XY, 2022, ECOL INDIC, V135, DOI 10.1016/j.ecolind.2022.108586
   Zhu QS, 2023, MATH BIOSCI ENG, V20, P15898, DOI 10.3934/mbe.2023708
NR 52
TC 4
Z9 4
U1 23
U2 80
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0958-305X
EI 2048-4070
J9 ENERG ENVIRON-UK
JI Energy Environ.
PD 2024 FEB 8
PY 2024
DI 10.1177/0958305X241230619
EA FEB 2024
PG 23
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HN4I9
UT WOS:001160166300001
DA 2025-04-22
ER

PT J
AU Hinkley, S
AF Hinkley, Sara
TI Structurally adjusting: Narratives of fiscal crisis in four US cities
SO URBAN STUDIES
LA English
DT Review
DE austerity; comparative urban research; fiscal crisis; pensions; urban
   crisis
ID CITY; FINANCE
AB The Great Recession unleashed a wave of fiscal stress in the USA, with austerity measures such as spending cuts, service reductions and privatisation predictably taking centre stage. Decades of federal withdrawal from urban policy and funding, combined with state retrenchment, have contributed to a landscape of urban fiscal stress exacerbated by the prolonged effects of the post-2007 recession. This article examines the experience of fiscal crisis in four US cities (Detroit, Dallas, Philadelphia, and San Jose), focusing on the narratives used by city and state government leadership to publicly describe local crises. Shared elements of the framing of urban fiscal crisis in this diverse set of cities provide insight into the unfolding of austerity in local politics. Blame for the crisis has centred less on social spending than in previous crises, and more on local governance failures, public pension commitments, and ongoing global economic precarity. Crisis governance has become widespread, even in fiscally resilient cities, driven by a vision of lean government in a new normal'. While retrenchment effectively shrinks the state through spending cuts and privatisation, the governing power of cities is also being diminished by the narrative of fiscal responsibility reflected in the national move toward public pension restructuring and expanded state interventionism.
C1 [Hinkley, Sara] Univ Calif Berkeley, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley
RP Hinkley, S (corresponding author), Univ Calif Berkeley, Dept City & Reg Planning, 230 Wurster Hall, Berkeley, CA 94720 USA.
EM hinkley@berkeley.edu
RI Hinkley, Sara/ABA-7431-2021
OI Hinkley, Sara/0000-0003-2782-1688
CR Anderson M.W., 2012, Fordham Urban Law Journal, V39, P577
   [Anonymous], 2008, CIT PHIL RESP FIN CR
   [Anonymous], 2010, 2010 U.S. decennial census
   [Anonymous], 2005, CIT PHIL FISC 2006 O
   [Anonymous], NY TIMES
   [Anonymous], 2013, A Widening Gap in Cities: Shortfalls in Funding for Pensions and Retiree Health Care
   [Anonymous], 2005, The Origins of the Urban Crisis: Race and Inequality in Postwar Detroit
   [Anonymous], DETROIT FREE PR 1206
   [Anonymous], 2012, NY TIMES
   Auletta K, 1979, STREETS WERE PAVED W
   Baker Kevin, 2012, NY TIMES
   Barbehön M, 2017, URBAN STUD, V54, P2072, DOI 10.1177/0042098015613002
   Binelli Mark., 2012, Detroit City is the Place to Be
   Bing MD, 2011, MAYORS BUDGET ADDRES
   Bomey N, 2013, DETROIT FREE PR 0916
   Bomey N, 2014, DETROIT FREE PR 0416
   Brash Julian., 2003, SOC TEXT, V76, P59
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Bush R, 2008, DALLAS MORNING NEWS
   Bush Rudolph, 2009, The Dallas Morning News
   Carlson J, 2012, PUBLIC PENSIONS STRE
   Carvlin E, 2005, BOND BUYER      1229
   Chappatta B, 2012, BUSINESSWEEK
   Chappatta B, 2012, BLOOMBERG       1003
   Christoff C, 2012, BLOOMBERG NEWS
   City of Dallas, 2014, CIT DALL TEX COMPR A
   City of Dallas, 2011, CIT DALL ANN BUDG FI
   City of Philadelphia The, 2013, CIT PHIL 2013 IN INV
   Clarke J, 2012, CRIT SOC POLICY, V32, P299, DOI 10.1177/0261018312444405
   Cockrel MKV, 2009, FISCAL 2010 BUDGET M
   Cohen N, 2013, FINANCIAL TIMES
   Cook David., 2008, Memorandum: Employees' Retirement Fund (ERF) - Update
   Coq-Huelva D, 2013, ANTIPODE, V45, P1213, DOI 10.1111/anti.12011
   Dallas City Manager, 2012, BUDG WORKSH 2 FY 201
   Davey Monica., NEW YORK TIMES
   Federal Housing Finance Agency, 2014, HOUS PRIC IND
   Finley Allysia, 2013, WALL STREET J
   FitchRatings, 2012, SPECIAL REPORT
   Florida R.L., 2009, The Atlantic Monthly, V303, P44
   Foroohar R., 2013, TIME MAGAZINE
   Friedhoff A., 2013, METRO MONITOR JUNE 2
   Gallagher J, 2013, DETROIT FREE PR 0802
   Giwargis Ramone, 2015, San Jose Mercury News
   Gonzalez S, 2014, URBAN STUD, V51, P3164, DOI 10.1177/0042098013519142
   Governor Snyder's Office, 2013, GOV AUTH DETR BANKR
   Hackworth J., 2007, The Neoliberal City: Governance, Ideology, and Development in American Urbanism, DOI DOI 10.7591/9780801461590/HTML
   Jensen R, 2011, BOND BUYER, V378, P6
   Kerkstra P, 2009, NUTTER MEETS OBAMAS
   Kilpatrick MKM, 2007, 2007 2008 BUDGET MES
   Kilpatrick MKM, 2006, COMMUNICATION   0412
   Kimhi O, 2008, BOSTON U LAW REV, V88, P633
   Koehn J, 2012, FISCAL EMERGENCY REP
   Kron Josh., 2012, The Atlantic
   Levinthal D, 2009, DALLAS MORNING NEWS
   Long C, 2013, REAL HIST PUBLIC PEN
   Lyman Rick, 2013, NY TIMES
   Marcuse Peter., 1981, INT J URBAN REGIONAL, V5, P330
   McNichol Elizabeth., 2012, The Texas Economic Model: Hard for Other States to Follow and Not All It Seems
   Merrifield Andy., 2014, City, V18, P416, DOI DOI 10.1080/13604813.2014.939463
   Merten S, 2010, DALLAS OBSERVER 0709
   Moody's Investor Services, 2010, GOV PENS CONTR MAY I
   Moody's Investors Service, 2014, MOOD ASS AA1 CIT DAL
   Moody's Investors Service, 2008, PENS FUND MAY SUFF 2
   Moody's Investors Service, 2013, ADJ PENS LIAB MEAS 5
   Munnell A.H., 2013, The funding of state and local pensions: 2012-2016
   Nelson K.L., 2012, State and Local Government Review, V44, p44S63S
   Nutter Michael., 2010, The Mayor's Operating Budget
   Nutter MM, 2013, MAYORS BUDGET ADDRES
   O'Connor A, 2008, J URBAN HIST, V34, P333, DOI 10.1177/0096144207308672
   Oosterlynck S, 2013, INT J URBAN REGIONAL, V37, P1075, DOI 10.1111/1468-2427.12064
   Pagano Michael., 2012, City Fiscal Conditions in 2012
   Peck J, 2010, GLOBAL NETW, V10, P1470
   Peck J., 2010, ABC News
   Peck J, 2006, URBAN GEOGR, V27, P681, DOI 10.2747/0272-3638.27.8.681
   Peck Jamie., 2012, City, V16
   PINCH PL, 1995, ENVIRON PLANN A, V27, P965, DOI 10.1068/a270965
   Raphael R, 2012, FITCH WIRE      0523
   Rawlings MM, 2012, STATE CITY ADDRESS
   Reed MC, 2013, 2013 STATE CITY ADDR
   Reed MC, 2007, 2007 STATE CITY ADDR
   Rhodes HSW, 2013, OPINION REGARDING EL
   Robinson J, 2011, INT J URBAN REGIONAL, V35, P1, DOI 10.1111/j.1468-2427.2010.00982.x
   Sbragia AM, 1996, PITT SERIES POLICY I
   Sciacchiatano K, 2012, DOLLARS SENSE    SEP
   Somers MR, 2005, AM SOCIOL REV, V70, P260, DOI 10.1177/000312240507000204
   Staff, 2012, MICH GOV WARNS BANKR
   Taylor MP, 2012, STATE OVERSIGHT KEY
   Urahn S and Pew American Cities Project, 2012, LOC SQUEEZ FALL REV
   US Census Bureau, 2012, CENS GOV FIN SURV ST
   Walsh M., 2012, NY TIMES
   Wedel JR, 2005, ANN AM ACAD POLIT SS, V600, P30, DOI 10.1177/0002716205276734
   Weikart LynneA., 2009, FOLLOW MONEY WHO CON
   Woodall B, 2013, DETROIT DEFAULTS 18
   Zumbrun J., 2008, FORBES
NR 94
TC 38
Z9 44
U1 2
U2 33
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0042-0980
EI 1360-063X
J9 URBAN STUD
JI Urban Stud.
PD JUL
PY 2017
VL 54
IS 9
SI SI
BP 2123
EP 2138
DI 10.1177/0042098015618167
PG 16
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA EX7XF
UT WOS:000403462000007
DA 2025-04-22
ER

PT J
AU Pankow, N
   Krause, S
   Schaum, C
AF Pankow, Nora
   Krause, Steffen
   Schaum, Christian
TI Resilience Adaptation Through Risk Analysis for Wastewater Treatment
   Plant Operators in the Context of the European Union Resilience
   Directive
SO WATER
LA English
DT Review
DE critical infrastructure; resilience; risk; risk analysis; wastewater
   treatment
ID FLOOD RISK; MANAGEMENT; CLIMATE
AB To combat new threats to critical infrastructure, the European Union enacted new regulations for their member states. With the directive on measures for a high common level of cybersecurity (NIS2) and the directive on critical infrastructure resilience (EU RCE), EU member states must identify critical infrastructure (CIs) and enable measures to reduce the risk of default in stress situations. The topic of resilience in urban water systems has already been of interest in previous research. However, there are still open questions. As it is a multidisciplinary term, understanding resilience and its adaptation into management systems is not an easy task for practitioners. This study will provide an overview of resilience within the framework of municipal wastewater treatment plants (WWTP) and show the current situation of existing implementation of safety and security regulations, taking Germany as an example. One of the main requirements of the EU RCE is a risk assessment (RA) for CIs. Until now, risk analysis for WWTP in research was mostly carried out for individual WWTP. By applying guidelines from the drinking water sector, this paper shows a possible methodology for a risk analysis. This paper aims to support practitioners by forming a common understanding of resilience and risk as well as providing an example for a risk analysis.
C1 [Pankow, Nora; Krause, Steffen; Schaum, Christian] Univ Bundeswehr Munich, Dept Civil Engn & Environm Sci, D-85577 Neubiberg, Germany.
C3 Bundeswehr University Munich
RP Pankow, N (corresponding author), Univ Bundeswehr Munich, Dept Civil Engn & Environm Sci, D-85577 Neubiberg, Germany.
EM nora.pankow@unibw.de; steffen.krause@unibw.de; christian.schaum@unibw.de
RI Pankow, Nora/LWH-9559-2024; Krause, Steffen/AAI-5697-2020
OI Pankow, Nora/0009-0005-2761-3960
FU Digitalization and Technology Research Center of the Bundeswehr;
   European Union
FX The RISK.twin research project is funded by dtec.bw-Digitalization and
   Technology Research Center of the Bundeswehr, which we gratefully
   acknowledge. dtec.bw is funded by the European Union-NextGenerationEU.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahamed MS, 2023, PROG DISASTER SCI, V18, DOI 10.1016/j.pdisas.2023.100285
   Alex M., 2021, Int. Res. J. Eng. Technol. (IRJET), V8, P2989
   [Anonymous], 2024, DWA-M 215-2
   [Anonymous], 2018, DVGW W 1020
   [Anonymous], 2023, European Union Directive (EU) 2022/2555 of the European Parliament and of the Council of 14 December 2022 on Measures for a High Common Level of Cybersecurity across the Union (NIS 2 Directive)
   [Anonymous], 2007, Improving the Nation's Water Security: Opportunities for Research
   [Anonymous], 2023, BSI-Standard 200-4
   [Anonymous], 2024, DWA-M 320
   [Anonymous], 2020, DVGW W 1001
   [Anonymous], 2006, DWA-A 199-4
   [Anonymous], 2013, DWA-M 103
   [Anonymous], 2022, Harvard Business Review01.11
   [Anonymous], 2000, European Union Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the Assessment and Management of Flood Risks
   [Anonymous], 2011, DWA-A 199-1 Dienst- und Betriebsanweisung fr das Personal von AbwasseranlagenTeil 1: Dienstanweisung fr das Personal von AbwasseranlagenNovember 2011fachlich auf Aktualitt geprft 2017
   [Anonymous], 2019, DVGW W 1050
   [Anonymous], 2023, TRAS 310Vorkehrung und Manahmen Wegen der Gefahrenquellen Niederschlge und Hochwasser
   Aven T, 2012, RELIAB ENG SYST SAFE, V99, P33, DOI 10.1016/j.ress.2011.11.006
   BBK, 2021, Definition von Schutzzielen fr Kritische Infrastrukturen: Forschungsstand, rechtlicher Rahmen und politische Entscheidungsfindung: Forschung im Bevlkerungsschutz: Wissenschaftlicher Abschlussbericht, BBK-Projekt-Nr.: FP 417
   Beck J., 2016, Leitfaden NaCoSiDer Weg zum Nachhaltigkeitscontrolling in der Siedlungswasserwirtschaft
   Benford D, 2016, EFSA J, V14, DOI 10.2903/j.efsa.2016.4499
   Bro L., 2020, Wasserversorgung in NotsituationenVerfahren zur Beurteilung der Resilienz von Wasserversorgungssystemen unter Bercksichtigung der Ersatz- und Notwasserversorgung
   Brucherseifer E, 2021, AT-AUTOM, V69, P1062, DOI 10.1515/auto-2021-0104
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   BSI, 2018, Nutzung des branchenspezifischen Sicherheitsstandards Wasser/Abwasser (B3S WA) in Verbundunternehmen
   Bundesamt fr Bevlkerungsschutz und Katastrophenhilfe (BBK), 2016, Sicherheit der Trinkwasserversorgung. Teil 1: Risikoanalyse, V1
   Bundesanstalt fr Arbeitsschutz und Arbeitsmedizin, 2018, TRBS 1111 Gefhrdungsbeurteilung
   Bundesanstalt fr Arbeitsschutz und Arbeitsmedizin, 2017, TRGS 400Gefhrdungsbeurteilung fr Ttigkeiten mit Gefahrstoffen
   Bundesministerium des Innern, 2009, Nationale Strategie Zum Schutz Kritischer Infrastrukturen (KRITIS-Strategie)
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Council of the European Union, 1992, Council Directive 89/391/EEC of 12 June 1989 on the Introduction of Measures to Encourage Improvements in the Safety and Health of Workers at Work (OSH Framework)
   dinmedia, DIN ISO 31000:2018-10 Risikomanagement-Leitlinien
   DWA, DWA TSM-Technical Safety Management
   Erdem F., 2022, Turk. J. Eng, V6, P268, DOI [10.31127/tuje.975623, DOI 10.31127/TUJE.975623]
   European Commission, 2020, Proposal for a Directive of the European Parliament and of the Council on Measures for a High Common Level of Cybersecurity Across the Union, Repealing Directive (EU) 2016/1148
   European Union, European Union Directive (EU) 2022/2557 of the European Parliament and of the Council of 14 December 2022 on the Resilience of Critical Entities and Repealing Council Directive 2008/114/EC 2022
   Federal Ministry of the Interior, 2016, Germany Ordinance on the Determination of Critical Infrastructures Under the BSI Act (BSI Criticism OrdinanceBSI-KritisV)
   Federal Republic of Germany, 1996, Gesetz ber Die Durchfhrung von Manahmen des Arbeitsschutzes zur Verbesserung der Sicherheit und des Gesundheitsschutzes der Beschftigten bei der Arbeit (ArbSchG)
   Federal Republic of Germany, 2023, Gesetz zur Ordnung des Wasserhaushalts (WHG)
   Fekete A, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1370
   Flaus J.-M., 2013, Risk Analysis
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   gesetze-im-internet, 2017, AbwV Verordnung uber Anforderungen an das Einleiten von Abwasser in Gewasser (Abwasserverordnung-AbwV)
   Greener I, 2002, GOVERNANCE, V15, P161, DOI 10.1111/1468-0491.00184
   Hauser A, 2015, WATER PRACT TECHNOL, V10, P305, DOI 10.2166/wpt.2015.036
   Herbane B, 2004, LONG RANGE PLANN, V37, P435, DOI 10.1016/j.lrp.2004.07.011
   Hochrainer-Stigler S, 2021, ENVIRON SCI POLICY, V125, P10, DOI 10.1016/j.envsci.2021.08.010
   Holloway T., 2023, Ph.D. Thesis
   j-Pilch M., 2019, Proceedings, V16, DOI [10.3390/proceedings2019016018, DOI 10.3390/PROCEEDINGS2019016018]
   Johansson J., 2010, Ph.D. Thesis
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Karidi M., 2018, RESILIENZ INTERDISZI
   Lauwe P., 2017, Bevlkerungsschutz: Notfallvorsorge und Krisenmanagement in Theorie und Praxis, P129
   LAWA, 2022, Analyse Zum Juli-Hochwasser 2021 und Ableitung von Konsequenzen aus Sicht des LAWA-AH
   Leopoldina, Wie Sich Russisches Erdgas in der Deutschen und Europaischen Energieversorgung Ersetzen Lasst
   McLaughlin M. W., 1987, Educational Evaluation and Policy Analysis, V9, P171, DOI DOI 10.3102/01623737009002171
   Miceli A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042052
   Morley K., 2012, Evaluating resilience in the water sector: Application of the utility resilience index (URI)
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   OECD, 2013, The Nature of Policy Change and Implementation: A Review of Different Theoretical Approaches
   Pankow N., 2022, P 7 JSWA EWA WEF SPE
   Rahman A, 2021, WATER ENVIRON RES, V93, P2527, DOI 10.1002/wer.1615
   Renn O, 2022, RISK ANAL, V42, P1902, DOI 10.1111/risa.13657
   Ritsema J, 2012, ELEMENTS, V8, P183, DOI 10.2113/gselements.8.3.183
   Schopp N., 2023, Bevolkerungsschutz, P14
   Schulte Ch., 2022, FISCHSTERBEN ODER AU, P34
   Travnicek P, 2022, J LOSS PREVENT PROC, V74, DOI 10.1016/j.jlp.2021.104634
   Tuser I, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13095120
   UNDRR, 2022, Our World at Risk: Global Assessment Report on Disaster Risk Reduction
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   vsat.epa.gov, US EPA Vulnerability Self-Assessment Tool (VSAT)
   Wagner M, 2005, WATER SCI TECHNOL, V52, P53, DOI 10.2166/wst.2005.0426
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wassénius E, 2022, ONE EARTH, V5, P35, DOI 10.1016/j.oneear.2021.12.004
   Yu DJ, 2020, RISK ANAL, V40, P1509, DOI 10.1111/risa.13494
NR 77
TC 1
Z9 1
U1 5
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD NOV
PY 2024
VL 16
IS 21
AR 3098
DI 10.3390/w16213098
PG 16
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA L6S3D
UT WOS:001351989800001
OA gold
DA 2025-04-22
ER

PT J
AU Zhang, C
   Wen, HJ
   Liao, MY
   Lin, Y
   Wu, Y
   Zhang, H
AF Zhang, Chi
   Wen, Haijia
   Liao, Mingyong
   Lin, Yu
   Wu, Yang
   Zhang, Hui
TI Study on Machine Learning Models for Building Resilience Evaluation in
   Mountainous Area: A Case Study of Banan District, Chongqing, China
SO SENSORS
LA English
DT Article
DE building resilience; machine learning; evaluation model; factor
   screening; model optimization
ID SUPPORT VECTOR MACHINE; VULNERABILITY ASSESSMENT; SEISMIC RESILIENCE;
   CLIMATE-CHANGE; MANAGEMENT; DAMAGE; RISK
AB 'Resilience' is a new concept in the research and application of urban construction. From the perspective of building adaptability in a mountainous environment and maintaining safety performance over time, this paper innovatively proposes machine learning methods for evaluating the resilience of buildings in a mountainous area. Firstly, after considering the comprehensive effects of geographical and geological conditions, meteorological and hydrological factors, environmental factors and building factors, the database of building resilience evaluation models in a mountainous area is constructed. Then, machine learning methods such as random forest and support vector machine are used to complete model training and optimization. Finally, the test data are substituted into models, and the models' effects are verified by the confusion matrix. The results show the following: (1) Twelve dominant impact factors are screened. (2) Through the screening of dominant factors, the models are comprehensively optimized. (3) The accuracy of the optimization models based on random forest and support vector machine are both 97.4%, and the F1 scores are greater than 94.4%. Resilience has important implications for risk prevention and the control of buildings in a mountainous environment.
C1 [Zhang, Chi; Wen, Haijia; Liao, Mingyong; Lin, Yu] Minist Educ, Sch Civil Engn, Key Lab New Technol Construct Cities Mt Area, Chongqing 400044, Peoples R China.
   [Zhang, Chi; Wen, Haijia; Liao, Mingyong; Lin, Yu] Chongqing Univ, Natl Joint Engn Res Ctr Geohazards Prevent Reserv, Chongqing 400045, Peoples R China.
   [Wu, Yang] China Railway Guizhou Tourism & Culture Dev Co Lt, Guiyang 550000, Peoples R China.
   [Zhang, Hui] Investment Management Co, China Construct Bur 5, Changsha 410007, Peoples R China.
C3 Chongqing University
RP Wen, HJ (corresponding author), Minist Educ, Sch Civil Engn, Key Lab New Technol Construct Cities Mt Area, Chongqing 400044, Peoples R China.; Wen, HJ (corresponding author), Chongqing Univ, Natl Joint Engn Res Ctr Geohazards Prevent Reserv, Chongqing 400045, Peoples R China.
EM zc158400@163.com; jhw@cqu.edu.cn; 201916131116@cqu.edu.cn;
   FLyulin@163.com; cquwy55555@163.com; 201816131097@cqu.edu.cn
RI Wen, Haijia/J-8112-2019
OI Wen, Haijia/0000-0002-2045-729X
FU Key Technologies Research and Development Program [2018YFC1505501];
   Chongqing Science and Technology Commission [cstc2018jscx-msybX0310]
FX This research was funded by Key Technologies Research and Development
   Program, grant number 2018YFC1505501 and Chongqing Science and
   Technology Commission, grant number cstc2018jscx-msybX0310.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Al Rifat SA, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9080469
   Banks S, 2015, REMOTE SENS-BASEL, V7, P13528, DOI 10.3390/rs71013528
   Barua A, 2014, REG ENVIRON CHANGE, V14, P267, DOI 10.1007/s10113-013-0471-1
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Chen WY, 2021, RELIAB ENG SYST SAFE, V215, DOI 10.1016/j.ress.2021.107833
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Deliang S, 2021, NAT HAZARDS, V105, P1255, DOI 10.1007/s11069-020-04353-6
   Deng WP, 2013, DISASTER ADV, V6, P51
   Deng XY, 2016, INFORM SCIENCES, V340, P250, DOI 10.1016/j.ins.2016.01.033
   Dong Y, 2016, EARTHQ ENG STRUCT D, V45, P739, DOI 10.1002/eqe.2682
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Han H, 2016, INT CONF SOFTW ENG, P219, DOI 10.1109/ICSESS.2016.7883053
   Herrera M, 2016, WATER RESOUR MANAG, V30, P1685, DOI 10.1007/s11269-016-1245-6
   Himoto K, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.108023
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jennings Barbara J., 2013, Environment Systems & Decisions, V33, P184, DOI 10.1007/s10669-013-9440-y
   Joyner MD, 2021, ENG STRUCT, V246, DOI 10.1016/j.engstruct.2021.113024
   Kato T., 2021, OECD DEV CO OPERATIO, V104
   Kohler T, 2010, MT RES DEV, V30, P53, DOI 10.1659/MRD-JOURNAL-D-09-00086.1
   Liu D, 2020, J CLEAN PROD, V250, DOI 10.1016/j.jclepro.2019.119468
   Liuzzi M, 2019, B EARTHQ ENG, V17, P4825, DOI 10.1007/s10518-019-00648-7
   Mahmoudi SN, 2016, B EARTHQ ENG, V14, P1571, DOI 10.1007/s10518-016-9894-7
   Mangalathu S, 2020, EARTHQ SPECTRA, V36, P183, DOI 10.1177/8755293019878137
   Mangalathu S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101111
   Marasco S, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102506
   Motta M, 2021, INT J DISAST RISK RE, V56, DOI 10.1016/j.ijdrr.2021.102154
   Na YS, 2022, J EARTHQ ENG, V26, P5848, DOI 10.1080/13632469.2021.1891156
   Narjabadifam P, 2021, EARTHQ ENG ENG VIB, V20, P25, DOI 10.1007/s11803-021-2003-1
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Rasulo A, 2021, INFRASTRUCTURES-BASE, V6, DOI 10.3390/infrastructures6080112
   Riedel I, 2014, SEISMOL RES LETT, V85, P295, DOI 10.1785/0220130148
   Riedel I, 2015, NAT HAZARDS, V76, P1111, DOI 10.1007/s11069-014-1538-0
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Taalab K, 2018, BIG EARTH DATA, V2, P159, DOI 10.1080/20964471.2018.1472392
   Wen H., 2021, Chinese Patent, Patent No. [CN2018107915103, 2018107915103]
   Wildavsky A. B., 1990, J RISK INSUR, V57, P564, DOI [10.2307/252851, DOI 10.2307/252851]
   Xiao LM, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18124436
   Xie YZ, 2020, EARTHQ SPECTRA, V36, P1769, DOI 10.1177/8755293020919419
   [薛蒙蒙 Xue Mengmeng], 2020, [水土保持通报, Bulletin of Soil and Water Conservation], V40, P168
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhou XZ, 2021, GEOSCI FRONT, V12, DOI 10.1016/j.gsf.2021.101211
   [周颖 ZHOU Ying], 2011, [建筑结构学报, Journal of Building Structures], V32, P1
NR 43
TC 11
Z9 12
U1 21
U2 109
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 1424-8220
J9 SENSORS-BASEL
JI Sensors
PD FEB
PY 2022
VL 22
IS 3
AR 1163
DI 10.3390/s22031163
PG 17
WC Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments
   & Instrumentation
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Chemistry; Engineering; Instruments & Instrumentation
GA YY1LG
UT WOS:000754554200001
PM 35161914
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Cirrincione, L
   Marvuglia, A
   Scaccianoce, G
AF Cirrincione, Laura
   Marvuglia, Antonino
   Scaccianoce, Gianluca
TI Assessing the effectiveness of green roofs in enhancing the energy and
   indoor comfort resilience of urban buildings to climate change:
   Methodology proposal and application
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Green roofs; Energy building simulation; Indoor thermal comfort; Energy
   savings; Climate change adaptation; Urban buildings resilience
ID LIFE-CYCLE ASSESSMENT; THERMAL PERFORMANCE; PLANT; SUBSTRATE; BENEFITS;
   IMPACT; INSULATION; VEGETATION; STOCKS; INTEGRATION
AB The effects of climate change on the built environment represents an important research challenge. Today, green roofs (GRs) represent a viable solution for enhancing energy and urban resilience in the face of climate change, as they can have a positive impact on the building's indoor thermal comfort and energy demand, as well as inducing various environmental benefits (easing urban heat island effects, improving the management of runoff water, reducing air pollution, etc.). Thus, it is important to be able to assess their effectiveness, both today and under future climate conditions, in order to evaluate whether they can also provide a valid long-term solution. In this paper, a simulation approach is proposed to evaluate the energy and indoor-comfort efficacy of GRs installed on a cluster of buildings with respect to climate change and demographic growth. To illustrate the proposed methodology, it has been applied to two European urban environments characterized by very different climatic conditions (Esch-sur-Alzette in Luxembourg and Palermo in Italy) considering their behaviour over a period of 60 years (2020, 2050, 2080). Results showed that, with respect to standard existing roofs (i.e., without the presence of green coverage), and considering the rising temperatures due to climate change, during cooling seasons GRs enabled significant energy savings (ranging from 20% to 50% for Esch-sur-Alzette and from 3% to 15% for Palermo), improvement of the indoor comfort (reduction of the average predicted mean votes - PMVs) and attenuation of the ceiling temperatures (2-5 degrees C for both contexts) of the buildings' top floors.
C1 [Cirrincione, Laura; Scaccianoce, Gianluca] Univ Palermo, Dept Engn, Viale Sci Bld 9, I-90128 Palermo, Italy.
   [Marvuglia, Antonino] Luxembourg Inst Sci & Technol LIST, ERIN Environm Res & Innovat Dept, 41 Rue Brill, L-4422 Belvaux, Luxembourg.
C3 University of Palermo; Luxembourg Institute of Science & Technology
RP Marvuglia, A (corresponding author), Luxembourg Inst Sci & Technol LIST, ERIN Environm Res & Innovat Dept, 41 Rue Brill, L-4422 Belvaux, Luxembourg.
EM laura.cirrincione@unipa.it; antonino.marvuglia@list.lu;
   gianluca.scaccianoce@unipa.it
RI Scaccianoce, Gianluca/AAS-2218-2020; Cirrincione, Laura/ABC-6375-2021;
   Marvuglia, Antonino/AAD-6483-2022
OI Marvuglia, Antonino/0000-0002-8360-8040
FU COST Action [CA16114]
FX The article was developed with the support of the COST Action CA16114
   `RESTORE: Rethinking Sustainability towards a Regenerative Economy",
   thanks to the Short-Term Scientific Mission (STSM) carried out at the
   Luxembourg Institute of Science and Technology (LIST) by Laura
   Cirrincione. The authors wish to think Lindsey Auguin for the English
   proofreading.
CR Aboelata A, 2021, ENERGY, V219, DOI 10.1016/j.energy.2020.119514
   Almenar JB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104898
   [Anonymous], 2009, CO2 emissions from fuel combustion highlights
   [Anonymous], 2003, OFF J EUR COMMUN, V4, pL1
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   [Anonymous], 1970, Thermal Comfort
   [Anonymous], 2014, 11552 UNI UNITR
   [Anonymous], 2019, 167981 UNI EN, V6
   Attia S, 2016, SUSTAIN CITIES SOC, V26, P393, DOI 10.1016/j.scs.2016.04.017
   Bauer N, 2017, GLOBAL ENVIRON CHANG, V42, P316, DOI 10.1016/j.gloenvcha.2016.07.006
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Berardi U, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109681
   Berardi U, 2016, ENERG BUILDINGS, V121, P217, DOI 10.1016/j.enbuild.2016.03.021
   Bevilacqua P, 2020, RENEW ENERG, V152, P1414, DOI 10.1016/j.renene.2020.01.085
   Bisegna F., 2019, IEEE INT C ENV ELECT, P1, DOI [10.1109/EEEIC.2019.8783774, DOI 10.1109/EEEIC.2019.8783774]
   Blackhurst M, 2010, J ARCHIT ENG, V16, DOI 10.1061/(ASCE)AE.1943-5568.0000022
   Brown M., 2018, Sustainability, Restorative to Regenerative
   Buckland-Nicks M, 2016, SCI TOTAL ENVIRON, V553, P20, DOI 10.1016/j.scitotenv.2016.02.063
   Cao JJ, 2019, ENERG BUILDINGS, V195, P45, DOI 10.1016/j.enbuild.2019.04.046
   Chenani SB, 2015, J CLEAN PROD, V90, P153, DOI 10.1016/j.jclepro.2014.11.070
   Cirrincione L., 2021, RETHINKING SUSTAINAB, V15, P149, DOI [10.1007/978-3-030-71819-0_8, DOI 10.1007/978-3-030-71819-0_8]
   Cirrincione L, 2020, IEEE MEDITERR ELECT, P488, DOI 10.1109/MELECON48756.2020.9140533
   Cirrincione L, 2020, IEEE MEDITERR ELECT, P494, DOI 10.1109/MELECON48756.2020.9140546
   Cirrincione L, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10030893
   Coma J, 2016, RENEW ENERG, V85, P1106, DOI 10.1016/j.renene.2015.07.074
   Cristiano E, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.143876
   Din A, 2017, ENRGY PROCED, V122, P21, DOI 10.1016/j.egypro.2017.07.296
   E.N. ISO, 2008, 1592762008 EN ISO
   Elliot T, 2020, URBAN FOR URBAN GREE, V50, DOI 10.1016/j.ufug.2020.126650
   Ente Italiano di Normazione-UNI, UNI1034932016
   EU, 2018, Directive (EU) 2018/2001 of the European Parliament and of the Council of 11 December 2018 on the Promotion of the Use of Energy from Renewable Sources (recast)', V128, P82
   European Commission, 2020, EU EN FIG STAT POCK
   European Commission, 2012, Communication from the Commission to the European Parliament and the Council-a roadmap towards a Banking Union
   European Commission, COMPREHENSIVE STUDY, P20
   European Commission: Joint Research Centre, 2010, International Reference Life Cycle Data System (ILCD) Handbook-General guide for Life Cycle Assessment-Detailed guidance
   European Union, 2011, OJ L 304, DOI DOI 10.1075/TTWIA.27.04KER
   Evola G., INNOVATION URBAN REG, P427
   Fabbri K., 2020, 2020 20 IEEE INT C, P1, DOI [10.1109/EEEIC/ ICPSEurope49358.2020.9160779, DOI 10.1109/eeeic/icpseurope49358.2020.9160779]
   Feng H., 2018, Nature Based Strategies for Urban and Building Sustainability, P307, DOI DOI 10.1016/B978-0-12-812150-4.00028-8
   Ferrante P, 2016, ENERGY, V115, P1723, DOI 10.1016/j.energy.2016.07.085
   Filogamo L, 2014, APPL ENERG, V135, P825, DOI 10.1016/j.apenergy.2014.04.002
   Francipane A., NATURAL HAZARDS EART, V2021, P1, DOI [10.5194/nhess-2021-61, DOI 10.5194/NHESS-2021-61]
   Francis LFM, 2017, URBAN FOR URBAN GREE, V28, P167, DOI 10.1016/j.ufug.2017.10.015
   Gargari C, 2016, AGRIC AGRIC SCI PROC, V8, P646, DOI 10.1016/j.aaspro.2016.02.087
   Gou ZH, 2017, J CLEAN PROD, V153, P600, DOI 10.1016/j.jclepro.2016.02.077
   Goussous J, 2015, SUSTAIN CITIES SOC, V14, P425, DOI 10.1016/j.scs.2014.05.012
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   Havinga L.C., 2019, REGENERATIVE DESIGN
   Institut Luxembourgeois de Regulation, 2019, RAPP I LUX REG ACT E
   International Standard Organization, 2005, 7730 ISO UNI EN ISO
   Jaffal I, 2012, RENEW ENERG, V43, P157, DOI 10.1016/j.renene.2011.12.004
   Jentsch MF, 2013, RENEW ENERG, V55, P514, DOI 10.1016/j.renene.2012.12.049
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Konstantinou T., 2020, Regenerative technologies for the indoor environment: inspirational guidelines for practitioners, P137
   Koppelaar R., 2021, RETHINKING SUSTAINAB, V15, P149
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Koura J, 2020, INT J LIFE CYCLE ASS, V25, P423, DOI 10.1007/s11367-019-01700-z
   Koura J, 2017, ENERG BUILDINGS, V151, P358, DOI 10.1016/j.enbuild.2017.06.066
   Kuru A, 2019, ENERG BUILDINGS, V205, DOI 10.1016/j.enbuild.2019.109544
   Maiolo M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010359
   Marino C, 2017, J BUILD ENG, V13, P169, DOI 10.1016/j.jobe.2017.08.001
   Marvuglia A, 2020, ECOL MODEL, V438, DOI 10.1016/j.ecolmodel.2020.109351
   Marvuglia A, 2020, RENEW SUST ENERG REV, V124, DOI 10.1016/j.rser.2020.109788
   Mastrucci A, 2017, RESOUR CONSERV RECY, V123, P54, DOI 10.1016/j.resconrec.2016.07.003
   Mohapatra S, 2021, MATER TODAY-PROC, V46, P5703, DOI 10.1016/j.matpr.2020.09.843
   Monteiroa MV, 2017, ENERG BUILDINGS, V141, P56, DOI 10.1016/j.enbuild.2017.02.011
   Moro A, 2018, TRANSPORT RES D-TR E, V64, P5, DOI 10.1016/j.trd.2017.07.012
   Naboni E, 2019, RENEW SUST ENERG REV, V113, DOI 10.1016/j.rser.2019.109255
   Niachou A, 2001, ENERG BUILDINGS, V33, P719, DOI 10.1016/S0378-7788(01)00062-7
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Peñalvo-López E, 2020, ENERGIES, V13, DOI 10.3390/en13051246
   Peri Giorgia, 2013, Applied Mechanics and Materials, V260-261, P251, DOI 10.4028/www.scientific.net/AMM.260-261.251
   Peri G, 2017, ENERG BUILDINGS, V150, P90, DOI 10.1016/j.enbuild.2017.06.002
   Peri G, 2016, ENERG BUILDINGS, V129, P535, DOI 10.1016/j.enbuild.2016.08.018
   Peri G, 2012, ENERGY, V48, P406, DOI 10.1016/j.energy.2012.02.045
   Peri G, 2012, J CLEAN PROD, V35, P274, DOI 10.1016/j.jclepro.2012.05.038
   Pisello AL, 2015, SOL ENERGY, V116, P337, DOI 10.1016/j.solener.2015.03.049
   Ramboll Management Consulting A/S, 2020, QUANT METH AN DEC BE
   Ran JD, 2018, SUSTAIN CITIES SOC, V38, P466, DOI 10.1016/j.scs.2018.01.027
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Rubel F, 2010, METEOROL Z, V19, P135, DOI 10.1127/0941-2948/2010/0430
   Sailor DJ, 2011, ENERG BUILDINGS, V43, P2298, DOI 10.1016/j.enbuild.2011.05.014
   Santamouris M, 2018, ENERG BUILDINGS, V166, P154, DOI 10.1016/j.enbuild.2018.02.007
   Schindler BY, 2018, J ENVIRON MANAGE, V225, P288, DOI 10.1016/j.jenvman.2018.08.017
   Serrenho T., 2020, 30328EUR
   Shafique M, 2020, SOL ENERGY, V202, P485, DOI 10.1016/j.solener.2020.02.101
   Shafique M, 2018, RENEW SUST ENERG REV, V90, P757, DOI 10.1016/j.rser.2018.04.006
   Suh S., 2017, GREEN TECHNOLOGY CHO
   Susca T, 2019, BUILD ENVIRON, V162, DOI 10.1016/j.buildenv.2019.106273
   Talebi A, 2019, ECOL ENG, V126, P1, DOI 10.1016/j.ecoleng.2018.10.006
   The European Parliament and the Council, 2010, Off J Eur Union, P18
   United Nations Environment Programme (UNEP), 2020, 2020 Global Status Report for Buildings and Construction: Towards a Zero-emission, Efficient and Resilient Buildings and Construction Sector
   Vaccaro V., 2016, 2016 IEEE 17 INT WOR, P1, DOI 10.1109/EEEIC.2016.7555412
   Vandepaer L, 2019, INT J LIFE CYCLE ASS, V24, P1409, DOI 10.1007/s11367-018-1571-4
   Vásquez F, 2016, ENERG BUILDINGS, V111, P37, DOI 10.1016/j.enbuild.2015.11.018
   Vera S, 2017, ENERG BUILDINGS, V146, P312, DOI 10.1016/j.enbuild.2017.04.037
   Verichev K, 2020, ENERG BUILDINGS, V215, DOI 10.1016/j.enbuild.2020.109874
   Yeom D, 2017, ENERG BUILDINGS, V149, P26, DOI 10.1016/j.enbuild.2017.05.035
   Zhao MJ, 2014, BUILD ENVIRON, V78, P199, DOI 10.1016/j.buildenv.2014.02.011
   Zhu ZZ, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125599
NR 100
TC 52
Z9 52
U1 6
U2 43
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD NOV
PY 2021
VL 205
AR 108198
DI 10.1016/j.buildenv.2021.108198
EA AUG 2021
PG 15
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Engineering
GA WA8XQ
UT WOS:000703166500006
DA 2025-04-22
ER

PT J
AU Zheng, RJ
   Wu, G
   Cheng, Y
   Liu, HM
   Wang, YP
   Wang, XY
AF Zheng, Ruijing
   Wu, Ge
   Cheng, Yu
   Liu, Haimeng
   Wang, Yaping
   Wang, Xinyang
TI How does digitalization drive carbon emissions? The inverted U-shaped
   effect in China
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Digitalization; Carbon reduction; Non-linear effects; Spatial spillover;
   China
ID COMMUNICATION TECHNOLOGY; ECONOMIC-GROWTH; ELECTRICITY CONSUMPTION;
   CLIMATE-CHANGE; ENERGY; INFORMATION; IMPACT; ICT; CHALLENGES; INNOVATION
AB Digitalization has become an engine driving industrial transformation and social change; however, the impact on carbon emissions during digital transformation remains poorly understood. We used the Tencent Digitalization Index based on big data to explore the effects of digital development on carbon emissions in China's 281 cities. The results show that the impact of digitization on carbon emissions follows an inverted U-curve in China, supported by a series of robustness tests. Considering city geographical location and resource endowment, this non-linear effect of digitalization on carbon emissions is more significant in eastern and non-resource-based cities. The inverted U-shaped impact of digitalization in central and western cities is not significant and resource-based cities have not yet reached the carbon reduction inflection point. Spatial spillover analysis indicates that digitalization will reduce carbon emissions of neighboring cities in the mature digital period. Digitalization also affects carbon emissions by promoting industrial structure upgrading and economic development. Understanding the relationship between digitalization and carbon emissions is a key ingredient for urban sustainable transformation, representing crucial knowledge for building climate-resilient cities and for policy-making.
C1 [Zheng, Ruijing; Cheng, Yu; Wang, Yaping; Wang, Xinyang] Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China.
   [Wu, Ge] Southwestern Univ Finance & Econ, Sch Publ Adm, Chengdu 611130, Peoples R China.
   [Cheng, Yu; Wang, Yaping] Shandong Normal Univ, Shandong Sustainable Dev Res Ctr, Jinan 250000, Peoples R China.
   [Liu, Haimeng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Shandong Normal University; Southwestern University of Finance &
   Economics - China; Shandong Normal University; Chinese Academy of
   Sciences; Institute of Geographic Sciences & Natural Resources Research,
   CAS
RP Cheng, Y (corresponding author), Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China.; Wu, G (corresponding author), Southwestern Univ Finance & Econ, Sch Publ Adm, Chengdu 611130, Peoples R China.
EM nanxiangzi621@163.com; 614058@sdnu.edu.cn
RI Wu, Ge/ACT-0699-2022; Liu, Haimeng/R-7364-2018
OI Liu, Haimeng/0000-0003-0390-9140
FU National Natural Science Foundation of China [72204202, 72074183]; Key
   Research and Devel-opment Program of Shandong Province (Soft Science
   Major Project) [2022RZA01007]; Science and Technology Support Plan for
   Youth Innovation of Colleges and Universities of Shandong Provinceof
   China [2019RWE014]; Shandong Province Social Sci-ence Planning Research
   Project [22CJJJ06]
FX Acknowledgements This research was supported by National Natural Science
   Foundation of China (No.72204202 and 72074183) , the Key Research and
   Devel-opment Program of Shandong Province (Soft Science Major Project)
   (Grant No. 2022RZA01007) , the Science and Technology Support Plan for
   Youth Innovation of Colleges and Universities of Shandong Provinceof
   China (Grant No. 2019RWE014) and Shandong Province Social Sci-ence
   Planning Research Project (Grant No. 22CJJJ06) .
CR Ancillai C, 2023, TECHNOL FORECAST SOC, V188, DOI 10.1016/j.techfore.2022.122307
   Annarelli A, 2021, TECHNOL FORECAST SOC, V166, DOI 10.1016/j.techfore.2021.120635
   Asongu SA, 2018, TECHNOL FORECAST SOC, V127, P209, DOI 10.1016/j.techfore.2017.09.022
   Bakirtas T, 2018, ENERGY, V147, P110, DOI 10.1016/j.energy.2018.01.011
   Baris-Tzemen,, 2020, ENVIRON SCI POLLUT R, V27, P20786, DOI 10.1007/s11356-020-08513-w
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Brenner B, 2021, J CLEAN PROD, V315, DOI 10.1016/j.jclepro.2021.128128
   Cai BF, 2019, APPL ENERG, V253, DOI 10.1016/j.apenergy.2019.113579
   Cheng Y, 2023, RESOUR CONSERV RECY, V189, DOI 10.1016/j.resconrec.2022.106762
   Cho YS, 2007, ENERG POLICY, V35, P4730, DOI 10.1016/j.enpol.2007.03.030
   Dong F, 2022, SCI TOTAL ENVIRON, V852, DOI 10.1016/j.scitotenv.2022.158401
   Dong JJ, 2022, ENERGY, V251, DOI 10.1016/j.energy.2022.123922
   Elhorst JP, 2014, INT REGIONAL SCI REV, V37, P389, DOI 10.1177/0160017612452429
   Eller R, 2020, J BUS RES, V112, P119, DOI 10.1016/j.jbusres.2020.03.004
   Fang CL, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108107
   Feng T, 2020, J ENVIRON MANAGE, V272, DOI 10.1016/j.jenvman.2020.110998
   Gao D, 2022, ENERGY, V247, DOI 10.1016/j.energy.2022.123395
   Ghobakhloo M, 2020, J CLEAN PROD, V252, DOI 10.1016/j.jclepro.2019.119869
   Gouldson A, 2016, CITIES, V54, P11, DOI 10.1016/j.cities.2015.10.010
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Guo J, 2022, RESOUR CONSERV RECY, V182, DOI 10.1016/j.resconrec.2022.106286
   Guo QB, 2022, APPL ENERG, V313, DOI 10.1016/j.apenergy.2022.118879
   Hao XL, 2023, J ENVIRON MANAGE, V325, DOI 10.1016/j.jenvman.2022.116504
   Huang HP, 2023, ENVIRON IMPACT ASSES, V99, DOI 10.1016/j.eiar.2023.107039
   Husaini DH, 2022, RESOUR CONSERV RECY, V184, DOI 10.1016/j.resconrec.2022.106377
   Hussain A, 2021, TELECOMMUN POLICY, V45, DOI 10.1016/j.telpol.2021.102202
   Kallal R, 2021, TECHNOL FORECAST SOC, V162, DOI 10.1016/j.techfore.2020.120403
   Kim YR, 2021, TOURISM MANAGE, V82, DOI 10.1016/j.tourman.2020.104201
   Kohtamäki M, 2019, J BUS RES, V104, P380, DOI 10.1016/j.jbusres.2019.06.027
   Kurniawan TA, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132452
   Lange S, 2020, ECOL ECON, V176, DOI 10.1016/j.ecolecon.2020.106760
   Lee CC, 2022, RENEW ENERG, V200, P546, DOI 10.1016/j.renene.2022.10.015
   Lee JW, 2014, GLOBAL ECON REV, V43, P93, DOI 10.1080/1226508X.2014.917803
   Li HJ, 2013, ENERG POLICY, V55, P251, DOI 10.1016/j.enpol.2012.12.007
   Li Y, 2021, ENVIRON SCI POLLUT R, V28, P64606, DOI 10.1007/s11356-021-15304-4
   Lin BQ, 2023, ENERG POLICY, V173, DOI 10.1016/j.enpol.2022.113341
   Lin BQ, 2021, SUSTAIN PROD CONSUMP, V28, P1, DOI 10.1016/j.spc.2021.03.016
   Lind JT, 2010, OXFORD B ECON STAT, V72, P109, DOI 10.1111/j.1468-0084.2009.00569.x
   Liu HM, 2017, ENVIRON PLANN A, V49, P2179, DOI 10.1177/0308518X17711946
   Liu JM, 2023, APPL ENERG, V331, DOI 10.1016/j.apenergy.2022.120407
   Liu JL, 2022, RESOUR CONSERV RECY, V185, DOI 10.1016/j.resconrec.2022.106445
   Luo SY, 2023, BUS STRATEG ENVIRON, V32, P1847, DOI 10.1002/bse.3223
   Ma D, 2022, J BUS RES, V145, P801, DOI 10.1016/j.jbusres.2022.03.041
   Miao Z, 2024, IEEE T ENG MANAGE, V71, P2184, DOI 10.1109/TEM.2022.3165146
   Miao Z, 2022, ENVIRON IMPACT ASSES, V95, DOI 10.1016/j.eiar.2022.106777
   Miao Z, 2022, TECHNOL FORECAST SOC, V175, DOI 10.1016/j.techfore.2021.121368
   Miao Z, 2021, APPL ENERG, V283, DOI 10.1016/j.apenergy.2020.116296
   Mirzabaev A, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2022.100473
   Mukhuty S, 2022, BUS STRATEG ENVIRON, V31, P2068, DOI 10.1002/bse.3008
   Myovella G, 2020, TELECOMMUN POLICY, V44, DOI 10.1016/j.telpol.2019.101856
   Pan MJ, 2023, RESOUR POLICY, V81, DOI 10.1016/j.resourpol.2023.103345
   Park Y, 2018, ENVIRON SCI POLLUT R, V25, P30708, DOI 10.1007/s11356-018-3108-6
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Rachinger M, 2019, J MANUF TECHNOL MANA, V30, P1143, DOI 10.1108/JMTM-01-2018-0020
   Raheem ID, 2020, ENVIRON SCI POLLUT R, V27, P1912, DOI 10.1007/s11356-019-06590-0
   Ren SY, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105220
   Rowan NJ, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156328
   Sadorsky P, 2012, ENERG POLICY, V48, P130, DOI 10.1016/j.enpol.2012.04.064
   Salahuddin M, 2016, INT J ELEC POWER, V76, P185, DOI 10.1016/j.ijepes.2015.11.005
   Shahbaz M, 2022, RENEW SUST ENERG REV, V166, DOI 10.1016/j.rser.2022.112620
   Sun CW, 2020, ENVIRON IMPACT ASSES, V83, DOI 10.1016/j.eiar.2020.106414
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Ulucak R, 2020, SUSTAIN DEV, V28, P857, DOI 10.1002/sd.2041
   Wang CA, 2023, ENERG ECON, V124, DOI 10.1016/j.eneco.2023.106676
   Wang CJ, 2021, RENEW SUST ENERG REV, V147, DOI 10.1016/j.rser.2021.111220
   Wang JD, 2022, ENERG ECON, V111, DOI 10.1016/j.eneco.2022.106107
   Wang JD, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2022.101911
   Wang JQ, 2022, APPL ENERG, V323, DOI 10.1016/j.apenergy.2022.119329
   Wang J, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191811204
   Wang L, 2021, TECHNOL SOC, V66, DOI 10.1016/j.techsoc.2021.101638
   Wang YF, 2023, J CLEAN PROD, V405, DOI 10.1016/j.jclepro.2023.137049
   Wei XH, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107143
   Wen HW, 2022, INF ECON POLICY, V61, DOI 10.1016/j.infoecopol.2022.101007
   Wu J., 2016, Statistical Research, V33, P54, DOI DOI 10.19343/J.CNKI.11-1302/C.2016.01.008
   Xie WC, 2020, FRONT ENERGY RES, V8, DOI 10.3389/fenrg.2020.598141
   Xu BY, 2022, ATMOS RES, V279, DOI 10.1016/j.atmosres.2022.106384
   Xu Q, 2022, ENERG ECON, V107, DOI 10.1016/j.eneco.2022.105879
   Xue Y, 2022, ENERG POLICY, V165, DOI 10.1016/j.enpol.2022.112997
   Yang Z, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104201
   Yin ZH, 2023, INFORM TECHNOL DEV, V29, P61, DOI 10.1080/02681102.2022.2123443
   You JM, 2022, ENERGY, V247, DOI 10.1016/j.energy.2022.123386
   Zhang CM, 2021, INFORM SYST FRONT, DOI 10.1007/s10796-021-10153-5
   Zhang HY, 2023, RENEW SUST ENERG REV, V171, DOI 10.1016/j.rser.2022.113014
   Zhang H, 2022, SUSTAIN PROD CONSUMP, V33, P312, DOI 10.1016/j.spc.2022.07.002
   Zhang JN, 2022, ENVIRON IMPACT ASSES, V96, DOI 10.1016/j.eiar.2022.106821
   Zhang L, 2022, SCI TOTAL ENVIRON, V852, DOI 10.1016/j.scitotenv.2022.158403
   Zhang ML, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156463
   Zhang SH, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20021343
   Zhang W, 2022, ENERG POLICY, V165, DOI 10.1016/j.enpol.2022.112927
   Zhang W, 2021, RENEW SUST ENERG REV, V151, DOI 10.1016/j.rser.2021.111499
   Zhang YM, 2023, RES INT BUS FINANC, V64, DOI 10.1016/j.ribaf.2023.101890
   Zhao SQ, 2023, ENVIRON SCI POLLUT R, V30, P81896, DOI 10.1007/s11356-022-22694-6
NR 92
TC 89
Z9 91
U1 83
U2 322
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0195-9255
EI 1873-6432
J9 ENVIRON IMPACT ASSES
JI Environ. Impact Assess. Rev.
PD SEP
PY 2023
VL 102
AR 107203
DI 10.1016/j.eiar.2023.107203
EA JUL 2023
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA O9UY5
UT WOS:001047207800001
HC Y
HP Y
DA 2025-04-22
ER

PT J
AU Pregnolato, M
   Ford, A
   Robson, C
   Glenis, V
   Barr, S
   Dawson, R
AF Pregnolato, Maria
   Ford, Alistair
   Robson, Craig
   Glenis, Vassilis
   Barr, Stuart
   Dawson, Richard
TI Assessing urban strategies for reducing the impacts of extreme weather
   on infrastructure networks
SO ROYAL SOCIETY OPEN SCIENCE
LA English
DT Article
DE network; flooding; impact; modelling; transport
ID CLIMATE-CHANGE; TRANSPORT
AB Critical infrastructure networks, including transport, are crucial to the social and economic function of urban areas but are at increasing risk from natural hazards. Minimizing disruption to these networks should form part of a strategy to increase urban resilience. A framework for assessing the disruption from flood events to transport systems is presented that couples a high-resolution urban flood model with transport modelling and network analytics to assess the impacts of extreme rainfall events, and to quantify the resilience value of different adaptation options. A case study in Newcastle upon Tyne in the UK shows that both green roof infrastructure and traditional engineering interventions such as culverts or flood walls can reduce transport disruption from flooding. The magnitude of these benefits depends on the flood event and adaptation strategy, but for the scenarios considered here 3-22% improvements in city-wide travel times are achieved. The network metric of betweenness centrality, weighted by travel time, is shown to provide a rapid approach to identify and prioritize the most critical locations for flood risk management intervention. Protecting just the top ranked critical location from flooding provides an 11% reduction in person delays. A city-wide deployment of green roofs achieves a 26% reduction, and although key routes still flood, the benefits of this strategy are more evenly distributed across the transport network as flood depths are reduced across the model domain. Both options should form part of an urban flood risk management strategy, but this method can be used to optimize investment and target limited resources at critical locations, enabling green infrastructure strategies to be gradually implemented over the longer term to provide citywide benefits. This framework provides a means of prioritizing limited financial resources to improve resilience. This is particularly important as flood management investments must typically exceed a far higher benefit-cost threshold than transport infrastructure investments. By capturing the value to the transport network from flood management interventions, it is possible to create new business models that provide benefits to, and enhance the resilience of, both transport and flood risk management infrastructures. Further work will develop the framework to consider other hazards and infrastructure networks.
C1 [Pregnolato, Maria; Ford, Alistair; Robson, Craig; Glenis, Vassilis; Barr, Stuart; Dawson, Richard] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
C3 Newcastle University - UK
RP Pregnolato, M (corresponding author), Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
EM m.pregnolato@ncl.ac.uk
RI Pregnolato, Maria/J-2337-2019; Dawson, Richard/D-6933-2011; Glenis,
   Vassilis/U-4374-2017
OI Ford, Alistair/0000-0001-8081-4239; Glenis,
   Vassilis/0000-0001-6037-9508; Barr, Stuart/0000-0002-0433-5188; Dawson,
   Richard/0000-0003-3158-5868; Pregnolato, Maria/0000-0003-0796-9618
FU Doctoral Training Account (DTA) - EPSRC [EP/L504828/1]; ITRC project -
   ESPRC [EP/I01344X/1]; iBUILD programme - EPSRC [EP/K012398/1]; European
   Community [308497]; EPSRC [EP/H003630/1, EP/N017064/1, EP/R010102/1,
   EP/K012398/1, EP/I01344X/2, EP/I01344X/1] Funding Source: UKRI
FX M.P. is funded by a Doctoral Training Account (DTA) funded by EPSRC
   (EP/L504828/1). This work has been supported by the ITRC project funded
   by ESPRC (EP/I01344X/1); the iBUILD programme funded by EPSRC
   (EP/K012398/1); and the European Community's Seventh Framework Programme
   under Grant Agreement no. 308497 RAMSES (Reconciling Adaptation,
   Mitigation and Sustainable dEvelopment for citieS) project.
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Agarwal M., 2005, P 2005 MIDC TRANSP R
   Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   [Anonymous], CIT PORTL 2014 STORM
   [Anonymous], 2010, Flood and Coastal Erosion Risk Management appraisal guidance
   Bagler G, 2008, PHYSICA A, V387, P2972, DOI 10.1016/j.physa.2008.01.077
   Barr S, 2013, INT S NEXT GEN INFR
   Barthélemy M, 2004, EUR PHYS J B, V38, P163, DOI 10.1140/epjb/e2004-00111-4
   Barthélemy M, 2011, PHYS REP, V499, P1, DOI 10.1016/j.physrep.2010.11.002
   Brandes U, 2008, SOC NETWORKS, V30, P136, DOI 10.1016/j.socnet.2007.11.001
   Cabinet Office, 2011, IMPR UKS AB ABS RESP
   Caparros-Midwood D, 2015, COMPUT ENVIRON URBAN, V54, P154, DOI 10.1016/j.compenvurbsys.2015.08.003
   Chang H, 2010, ANN ASSOC AM GEOGR, V100, P938, DOI 10.1080/00045608.2010.497110
   Chung E., 2006, 5 INT S HIGHW CAP QU
   Crucitti P, 2004, PHYSICA A, V338, P92, DOI 10.1016/j.physa.2004.02.029
   Dalziell E, 2001, J TRANSP ENG-ASCE, V127, P159, DOI 10.1061/(ASCE)0733-947X(2001)127:2(159)
   Dawson RJ, 2011, CARBON MANAG, V2, P175, DOI 10.4155/CMT.11.8
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Department for Transport, 2014, REV RES TRANSP NETW
   Doll C, 2014, NAT HAZARDS, V72, P211, DOI 10.1007/s11069-013-0821-9
   Doll C, 2014, NAT HAZARDS, V72, P63, DOI 10.1007/s11069-013-0969-3
   Dueñas-Osorio L, 2009, STRUCT SAF, V31, P157, DOI 10.1016/j.strusafe.2008.06.007
   Ellis JB, 2014, CLEAN-SOIL AIR WATER, V42, P153, DOI 10.1002/clen.201300225
   Ford AC, 2015, ISPRS INT GEO-INF, V4, P124, DOI 10.3390/ijgi4010124
   Galatioto F., 2014, P 2 INT C URB SUST R
   Glenis V, 2010, CITYCAT URBAN FLOODI
   Glenis V, 2013, J CLOUD COMPUT-ADV S, V2, DOI 10.1186/2192-113X-2-7
   Hall JW, 2014, VULNERABILITY UNCERT, P677, DOI [10.1061/9780784413609.069, DOI 10.1061/9780784413609.069]
   Highways Agency, 2009, ROUT WINT SERV COD
   Holme Petter, 2002, Phys Rev E Stat Nonlin Soft Matter Phys, V65, P066109
   Hooper E, 2014, METEOROL APPL, V21, P194, DOI 10.1002/met.1348
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Jaroszweski D, 2010, J TRANSP GEOGR, V18, P331, DOI 10.1016/j.jtrangeo.2009.07.005
   Jin Y, 2013, T GIS, V17, P641, DOI 10.1111/tgis.12056
   Jongman B, 2015, P NATL ACAD SCI USA, V112, pE2271, DOI 10.1073/pnas.1414439112
   Kallaos J., 2014, SYNTHESIS REV RESILI
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Kyte M., 2001, TRANSP SEARCH REC, V1776, P61
   Larsen M, 2010, BLUE SPOT MODEL DEV
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   Narayan S, 2012, NAT HAZARD EARTH SYS, V12, P1431, DOI 10.5194/nhess-12-1431-2012
   Newcastle City Council, 2013, SUMM 2012 FLOOD NEWC
   Newman MEJ, 2004, PHYS REV E, V70, DOI 10.1103/PhysRevE.70.056131
   Newman MEJ, 2003, SIAM REV, V45, P167, DOI 10.1137/S003614450342480
   Ong G.P., 2008, P 7 INT C MAN PAV AS
   Ortuzar JD, 2011, MODELLING TRANSPORT, 4TH EDITION
   Patuelli R, 2007, NETW SPAT ECON, V7, P315, DOI 10.1007/s11067-007-9027-6
   Penning-Rowsell E., 2013, Flood and Coastal Erosion Risk Management, V2013th
   Pregnolato M, IMPACT FLOODI UNPUB
   Robson A., 1999, FLOOD ESTIMATION HDB, V3, P338
   Schanze J, 2006, NATO SCI S SS IV EAR, V67, P1
   Shu CW, 2011, J HYDRAUL RES, V49, P709, DOI 10.1080/00221686.2011.616318
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   Swiss RE, 2014, 12014 SWISS RE
   Tsapakis I, 2013, J TRANSP GEOGR, V28, P204, DOI 10.1016/j.jtrangeo.2012.11.003
   WebTAG, 2016, WEBTAG TAG DAT BOOK
   Wright NG, 2014, 11 INT C HYDR HIC 20
   Xia JQ, 2011, NAT HAZARDS, V58, P1, DOI 10.1007/s11069-010-9639-x
   Zhong C, 2014, INT J GEOGR INF SCI, V28, P2178, DOI 10.1080/13658816.2014.914521
   Zio Enrico, 2014, Vulnerability, Uncertainty, and Risk. Quantification, Mitigation, and Management. Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA). Proceedings, P23
NR 60
TC 81
Z9 92
U1 11
U2 132
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 2054-5703
J9 ROY SOC OPEN SCI
JI R. Soc. Open Sci.
PD MAY
PY 2016
VL 3
IS 5
AR 160023
DI 10.1098/rsos.160023
PG 15
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA DO7NR
UT WOS:000377969800006
PM 27293781
OA Green Published, Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Thomas, M
   Prakash, A
   Dhyani, S
   Pujari, PR
AF Thomas, Manu
   Prakash, Athira
   Dhyani, Shalini
   Pujari, Paras R.
TI Governing green change to improve resilience by assessing urban risks
   for localizing nature based solutions in fast sprawling Dehradun, India
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Western Himalaya; Urbanization; Disaster risks; Pollution; Nature based
   solutions; Resilience; Governance
ID LESSONS
AB Considering the increasing disaster risks, vulnerability and reduced resilience across Himalayas due to urban sprawling, our study attempts to understand the crucial environmental concerns in the valley town of Dehradun. We assessed the long-term risks due to the rise in population density, changing land use patterns, land surface temperature, groundwater shortage, air pollution concerns, vegetation loss and concretization using remote sensing tools. Results reveal the deleterious impact of urban sprawling affecting different wards of the city, with the burgeoning population pressure in the central part of the city (200 people per hectare (pph)) while, peripheral areas have lesser pressure (4 pph) but projected to rise. Loss of vegetation for development across the city has resulted in insufficient and unequal distribution of green spaces. The builtup area increased from 23.63 to 59.78% after the city became the state capital has led to the increased heat islands and surface temperature (21.23-25.53 degrees C). Depleting groundwater levels in erstwhile water sufficient wards of Raipur (01), Shastradhara (02) and Adhoiwala N (28) is alarming. Increasing air pollutants (P.M.10, SO2 and NO2) and the risk of urban floods are severe for 10 wards. Dehradun city seems to be at tipping point about to cross its bearing capacity, any additional pressure may have serious repercussions for city residents. City municipal corporation along with diverse stakeholder groups need to mainstream Nature based Solutions, designing and implementing ward specific customized solutions for addressing societal challenges according to Sendai Framework for Disaster Risk Reduction and the UN SDG 11.
C1 [Thomas, Manu; Prakash, Athira; Dhyani, Shalini; Pujari, Paras R.] CSIR Natl Environm Engn Res Inst, Nagpur, India.
   [Dhyani, Shalini; Pujari, Paras R.] Acad Sci & Innovat Res AcSIR, Ghaziabad 201002, Uttar Pradesh, India.
C3 Council of Scientific & Industrial Research (CSIR) - India; CSIR -
   National Environmental Engineering Research Institute (NEERI); Academy
   of Scientific & Innovative Research (AcSIR)
RP Dhyani, S (corresponding author), CSIR Natl Environm Engn Res Inst, Nagpur, India.
EM shalinidhyanineeri@gmail.com
RI Dhyani, Shalini/AAS-3229-2020
OI Thomas, Manu/0000-0002-3683-8636
FU Knowledge Resource Centre (CSIR-NEERI) [CSIR-NEERI/KRC/2024/MARCH/EIA -
   WR/1]
FX Authors wish to thank Director, CSIR-National Environmental Engineering
   Research Institute, Nagpur for encouragement and providing necessary
   facilities. Manuscript was checked for plagiarism by the Knowledge
   Resource Centre (CSIR-NEERI) (CSIR-NEERI/KRC/2024/MARCH/EIA - WR/1) and
   the support is acknowledged.
CR Agrawal K., 2020, Factors Affecting the Development of a Counter Magnet City: A Case Example of Indian City
   [Anonymous], Dehradun Smart City Limited Reports/Portal
   [Anonymous], 2011, Uttarakhand Building Bye-Laws and Regulations
   [Anonymous], 2018, Understand water flows in Dehradun
   Bansal N., 2015, PhD Thesis
   Bansal N., 2023, Arabian Journal of Geosciences, V16, P501, DOI [10.1007/s12517-023-11605-9, DOI 10.1007/S12517-023-11605-9]
   Behnassi M., 2021, Social-Ecological Systems (SES) From Risks and Insecurity to Viability and Resilience
   Bhat B.B., 2019, European Journal of Environment and Public Health, V3, P1
   Bist U., 2022, Smart City Project and Reducing Green Spaces A Case Study of Dehradun City
   Chen GZ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14386-x
   Chottai T., 2023, Government Incentives for Green Building Projects in India
   Cooper HD, 2023, NAT ECOL EVOL, V7, P1570, DOI 10.1038/s41559-023-02209-3
   Das C., 2022, Blue-Green Infrastructure Across Asian Countries: Improving Urban Resilience and Sustainability, P441, DOI [10.1007/978-981-16-7128-9, DOI 10.1007/978-981-16-7128-9]
   Deb S., 2023, Cities, V132, P104068, DOI [10.1016/j.cities.2022.104068, DOI 10.1016/J.CITIES.2022.104068]
   Dehradun Master Plan, 2023, Town and Country Planning Department Uttarakhand
   Dhyani S., 2021, EcosystemBased Disaster and Climate Resilience: Integration of Blue-Green Infrastructure in Sustainable Development, P279, DOI [10.1007/978-981-16-4815-112, DOI 10.1007/978-981-16-4815-112]
   Dhyani S., 2023, The Palgrave Handbook of Socioecological Resilience in the Face of Climate Change, P23, DOI [10.1007/978-981-99-2206, DOI 10.1007/978-981-99-2206, 10.1007/978-981-99-2206-2_3, DOI 10.1007/978-981-99-2206-2_3]
   Dhyani S., 2022, Blue-Green Infrastructure Across Asian Countries: Improving Urban Resilience and Sustainability
   Dhyani S, 2018, INT J DISAST RISK RE, V32, P95, DOI 10.1016/j.ijdrr.2018.01.018
   Dhyani S, 2016, ADV NAT TECH HAZ RES, V42, P507, DOI 10.1007/978-3-319-43633-3_22
   euttaranchal, Anand Van
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Ghale B., 2023, Int. Arch. Photogram. Rem. Sens. Spatial Inf. Sci., V48, P101
   Ghosh M, 2021, ENVIRON DEV SUSTAIN, V23, P2570, DOI 10.1007/s10668-020-00687-0
   Grover A, 2016, ENVIRON URBAN ASIA, V7, P38, DOI 10.1177/0975425315619722
   Guilbaud C., 1995, Evolution of the inversion layer and pollutant dispersion in real valley
   Jain M, 2020, ENERG POLICY, V145, DOI 10.1016/j.enpol.2020.111752
   Joshi A., 2020, CURR WORLD ENVIRON, V15, P87, DOI DOI 10.12944/CWE.15.1.12
   Kansal A, 2023, AEROSOL SCI ENG, V7, P415, DOI 10.1007/s41810-023-00181-w
   Kaur R, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.705131
   Konijnendijk C., 2021, BIOPHILIC CITIES J, V4, DOI [10.1016/j.ssmph.2019.100497, DOI 10.1016/J.SSMPH.2019.100497]
   Kumar A., 2021, Ecosystem-Based Disaster and Climate Resilience: Integration of Blue-Green Infrastructure in Sustainable Development, P357
   Kumar V., 2020, Recent Advancements in Sciences with Special Reference to Himalaya, V205th, P195
   MALO AR, 1990, J ARID ENVIRON, V19, P1
   Mani A, 2021, URBAN BOOK SERIES, P469, DOI 10.1007/978-3-030-71945-6_26
   Mishra A, 2024, ENVIRON DEV SUSTAIN, V26, P22421, DOI 10.1007/s10668-023-03558-6
   Mishra K, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-10945-z
   Mudau N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177063
   Mukherjee F, 2020, EARTH SYST ENVIRON, V4, P385, DOI 10.1007/s41748-020-00155-9
   Mukherjee M, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191911846
   Nautiyal H., 2023, Sustainability and Biodiversity Conservation, V2
   Olokeogun OS, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106796
   Pant N., 2017, Hindustan TimesDecember 31
   Pathak S, 2024, BIG DATA RES, V35, DOI 10.1016/j.bdr.2023.100415
   Prakash Tiwari C., 2023, FrontlineJanuary 26
   Rajeshwari, 2006, Journal of Human Ecology, V20, P269
   Rawat A., 2022, Doctoral Dissertation
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Rukmana Deden., 2020, The Routledge Handbook of Planning Megacities in the Global South
   Sachs JD, 2019, NAT SUSTAIN, V2, P805, DOI 10.1038/s41893-019-0352-9
   Saikia P., 2020, NATURE BASED SOLUTIO, P391, DOI 10.1007/978-981-15-4712-6_22
   Saini V., 1998, Effect of Urbanization on Land Surface Temperature and NDVI: a Case Study of Dehradun, India, V3
   Sánchez FG, 2023, LAND USE POLICY, V124, DOI 10.1016/j.landusepol.2022.106455
   Shaban A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072941
   Shah P., 2018, Sustainability Matters: Environmental Management in the Anthropocene, P411
   Sharma M., 2016, ESSENCE-International Journal for Environmental Rehabilitation and Conservation, V17
   Shukla J., 2024, Earth observation in urban monitoring, P359
   Soni A, 2020, J ATMOS SOL-TERR PHY, V199, DOI 10.1016/j.jastp.2020.105205
   Srikanth K, 2022, REMOTE SENS APPL, V28, DOI 10.1016/j.rsase.2022.100858
   Thapliyal S., 2020, Measurement of urban sustainability of Dehradun City
   Tiwari V, 2023, WATER QUAL RES J, V58, P264, DOI 10.2166/wqrj.2023.009
   Tripathi R., 2019, 2019 IEEE INT C SMAR, P1
   Tyagi T., 2022, Times of IndiaJune 8
   unh, ABOUT US
   United Nations International Strategy for Disaster Reduction (UNISDR), 2017, Think Piece on
   Urban Development Department-Government of Uttarakhand, 2007, CIT DEV PLAN DEHR RE, P1
   Uttarakhand Forest Department, Nagar Van Scheme
   Uttarakhand tourism development board, 2022, About us
   van Berkum S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032591
NR 69
TC 1
Z9 1
U1 5
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD SEP
PY 2024
VL 111
AR 104684
DI 10.1016/j.ijdrr.2024.104684
EA JUL 2024
PG 16
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA ZP2D2
UT WOS:001276425300001
DA 2025-04-22
ER

PT J
AU D'Orazio, M
   Quagliarini, E
   Bernardini, G
   Spalazzi, L
AF D'Orazio, Marco
   Quagliarini, Enrico
   Bernardini, Gabriele
   Spalazzi, Luca
TI EPES - Earthquake pedestrians' evacuation simulator: A tool for
   predicting earthquake pedestrians' evacuation in urban outdoor scenarios
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Post-earthquake evacuation; Applied social sciences; Exposure parameter
   investigation; Tools for community resilience investigation; Evacuation
   simulation software; Earthquake risk assessment evaluation
ID SOCIAL FORCE MODEL; COMMUNITY RESILIENCE; BUILDING EVACUATION; BEHAVIOR;
   VULNERABILITY; DAMAGE; VALIDATION; DYNAMICS; TIME
AB Earthquake risk assessment at urban scale does not actually consider human behaviours during both the event and the first evacuation phases. Nevertheless, understanding and simulating these aspects become essential in determining how human behaviours influence inhabitants' safety levels, defining combined "risk maps" and evaluating community resilience features. This work proposes an innovative approach by offering a simulator for pedestrians earthquake evacuation in urban scenarios. Firstly, our previous behavioural investigations of real earthquake evacuation from all over the World allow organizing rules in pedestrians' evacuation and man environment interactions in the post event scenario: an agent based (ABM) approach is provided for their representation by using the i* language. Secondly, operative criteria for pedestrian motion are provided: in particular, motion law for pedestrians is defined by modifying the Social Force model approach with the behavioural results of our case study. Rules for environmental modifications due to the earthquake are proposed. Finally, the software EPES (Earthquake Pedestrians' Evacuation Simulator) is implemented on these bases and validated using a case study (an Italian historical centre). Results firstly summarize the behavioural analysis discussion and the ABM definition. First validations about ruins formations, behavioural aspects, motion speed in evacuations and path choice are offered. EPES is proposed as a tool for evaluating probable pedestrians' choices in different scenarios, and checking solutions for reducing interferences between the human evacuation process and the built environment. Operative strategies for interferences reduction could be founded on model previsions, such as interventions on particular buildings, evacuation strategies definition and urban planning. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [D'Orazio, Marco; Quagliarini, Enrico; Bernardini, Gabriele] Univ Politecn Marche, Dept Construct Civil Engn & Architecture DICEA, Via Brecce Bianche, I-60131 Ancona, Italy.
   [Spalazzi, Luca] Univ Politecn Marche, Dept Informat Engn DII, I-60131 Ancona, Italy.
C3 Marche Polytechnic University; Marche Polytechnic University
RP D'Orazio, M (corresponding author), Univ Politecn Marche, Dept Construct Civil Engn & Architecture DICEA, Via Brecce Bianche, I-60131 Ancona, Italy.
EM m.dorazio@univpm.it; spalazzi@dii.univpm.it
RI Spalazzi, Luca/A-9983-2013; Quagliarini, Enrico/M-5281-2019; d'orazio,
   Marco/AAD-7121-2021; Bernardini, Gabriele/S-6283-2017; d'orazio,
   marco/E-8196-2012
OI Bernardini, Gabriele/0000-0002-7381-4537; d'orazio,
   marco/0000-0003-3779-4361; quagliarini, enrico/0000-0002-1091-8929;
   SPALAZZI, Luca/0000-0002-4807-6632
CR Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   Alexander D., 1990, INT J MASS EMERGENCI, V8, P5
   An L, 2012, ECOL MODEL, V229, P25, DOI 10.1016/j.ecolmodel.2011.07.010
   Annunziato M., 2006, P WIVA3 3 WORKSH IT
   [Anonymous], 2009, HAZUS MH ADV ENG BUI
   [Anonymous], J COMPUTING
   [Anonymous], FRIULI EARTHQUAKE PR
   [Anonymous], 2011, ING SISMICA
   [Anonymous], P GSDI 12 C
   [Anonymous], 1998, CAH CENT EUR GEODYN
   [Anonymous], REP SCI ENG
   [Anonymous], OPENSTEER
   [Anonymous], P NATO ADV STUD SEIS
   [Anonymous], INT J DISASTER RISK
   ARNOLD C, 1982, DISASTERS, V6, P207
   Auf Dor Heide E, COMMON MISCONCEPTION, P340
   Baiocchi V, 2012, APPL GEOMAT, V4, P95, DOI 10.1007/s12518-011-0065-x
   Bandini S, WOA, P1
   Bandini S, 2011, LECT NOTES ARTIF INT, V6934, P104, DOI 10.1007/978-3-642-23954-0_12
   Braun A, 2003, P 16 INT C COMP AN S
   Bresciani P, 2004, AUTON AGENT MULTI-AG, V8, P203, DOI 10.1023/B:AGNT.0000018806.20944.ef
   Brown D., 2011, P 8 INT C HANDS SCI
   Calvi GM., 2006, ISET J EARTHQ TECHNO, V43, P75
   Carturan F, 2013, B EARTHQ ENG, V11, P543, DOI 10.1007/s10518-012-9391-6
   Cattari S, 2004, 11 NAT C SEISM ENG I
   Chattaraja U, 2013, PROCD SOC BEHV, V104, P698, DOI 10.1016/j.sbspro.2013.11.164
   Chen QF, 1997, NAT HAZARDS, V15, P217
   Chen X, 2012, COMPUT ENVIRON URBAN, V36, P207, DOI 10.1016/j.compenvurbsys.2011.11.002
   Chu GQ, 2006, CHINESE SCI BULL, V51, P1381, DOI 10.1007/s11434-006-1381-0
   Costa AC, 2010, B EARTHQ ENG, V8, P119, DOI [10.1007/s10518-008-9088-z, 10.1007/s10518-009-9160-3]
   Crociani L., 2013, COMPLEX ADAPT SYST M, V1
   Crowley H, 2006, B EARTHQ ENG, V4, P249, DOI 10.1007/s10518-006-9009-y
   Crowley H, 2009, B EARTHQ ENG, V7, P149, DOI 10.1007/s10518-008-9100-7
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   D'Ayala DF, 2011, B EARTHQ ENG, V9, P81, DOI 10.1007/s10518-010-9224-4
   D'Orazio M, 2014, PEDESTRIAN EVACUATIO
   D'Orazio M., 2013, CHANGING NEEDS ADAPT, V1, P1153
   D'Orazio M, 2014, SAFETY SCI, V62, P450, DOI 10.1016/j.ssci.2013.09.014
   Dilley M, 2005, DISAST RISK MANAGE, P1
   Fahy R.F., 2001, Proceedings of the 2nd International Symposium on Human Behavior in Fire, P175
   Fang ZX, 2011, BUILD ENVIRON, V46, P1774, DOI 10.1016/j.buildenv.2011.02.005
   Fujiyama T., 2004, Pedestrian Speeds on Stairs - An Initial Step for a Stimulation Model
   Gates TJ, 2006, TRANSPORT RES REC, P38
   Giovinazzi S., 2004, P 13 WORLD C EARTHQU
   Glorio E., 2013, THESIS
   Goded T, 2012, B EARTHQ ENG, V10, P839, DOI 10.1007/s10518-011-9321-z
   Goretti A, 2006, B EARTHQ ENG, V4, P159, DOI 10.1007/s10518-006-9004-3
   Guo RY, 2008, PHYSICA A, V387, P580, DOI 10.1016/j.physa.2007.10.001
   Helbing D, SIMULATION PEDESTRIA, P21
   Helbing D, 2012, Agent-based modeling
   Helbing D., ENCY COMPLEX SYST SC, V16, P6476
   Heliövaara S, 2012, BUILD ENVIRON, V48, P89, DOI 10.1016/j.buildenv.2011.08.020
   Heliövaara S, 2012, SAFETY SCI, V50, P221, DOI 10.1016/j.ssci.2011.08.020
   Hori M., 2011, Introduction to computational earthquake engineeringM
   HOSSEINI KA, 2014, INT J DISASTER RISK, P1
   Hughes RL, 2002, TRANSPORT RES B-METH, V36, P507, DOI 10.1016/S0191-2615(01)00015-7
   Husselmann AV, 2011, SOCIAL AGENT BASED M
   IMO ORGANIZATION INTERNATIONAL MARITIME, 2002, INT GUID EV AN NEW E
   Inel M, 2013, B EARTHQ ENG, V11, P255, DOI 10.1007/s10518-012-9414-3
   James W, ON SOME MENTAL EFFEC, V207-26
   Johnson NR, 1994, MICROSTRUCTURE PANIC, P168
   Kappos AJ, 2008, SOIL DYN EARTHQ ENG, V28, P836, DOI 10.1016/j.soildyn.2007.10.017
   Klügel JU, 2008, EARTH-SCI REV, V88, P1, DOI 10.1016/j.earscirev.2008.01.003
   Kobes M, 2010, PROCEDIA ENGINEER, V3, P37, DOI 10.1016/j.proeng.2010.07.006
   Korhonen T., 2010, Fire Dynamics Simulator with Evacuation: FDS + Evac Technical Reference and User' s Guide
   Koster G., 2014, Pedestrian Evacuation Dyn., P1051, DOI [10.1007/978-3-319-02447-9_87, DOI 10.1007/978-3-319-02447-9_87]
   Lagomarsino S., 2005, Analisi di vulnerabilita e rischio degli edifici monumentali, VIII
   Lagomarsino S, 2006, B EARTHQ ENG, V4, P415, DOI 10.1007/s10518-006-9024-z
   Lakoba TI, 2005, SIMUL-T SOC MOD SIM, V81, P339, DOI 10.1177/0037549705052772
   Langston PA, 2006, SAFETY SCI, V44, P395, DOI 10.1016/j.ssci.2005.11.007
   Macal CM, 2010, J SIMUL, V4, P151, DOI 10.1057/jos.2010.3
   Manenti L., 2010, Towards an agent-based proxemic model for pedestrian and group dynamic
   Manenti L., 2011, CEUR WORKSH P, V741, P51
   Manenti L, 2011, P 12 WORKSH OBJ AG
   Mawson Anthony., 2007, MASS PANIC SOCIAL AT
   Mishima N, 2014, INT J DISAST RISK RE, V8, P10, DOI 10.1016/j.ijdrr.2013.12.003
   Mouroux P, 2006, GEOTECH GEOL EARTHQ, V2
   Mouroux P, 2006, B EARTHQ ENG, V4, P323, DOI 10.1007/s10518-006-9020-3
   Musson RMW, 2010, J SEISMOL, V14, P413, DOI 10.1007/s10950-009-9172-0
   Neumann D. L., 2013, PATTERN RECOGNIT LET, P1
   Osaragi T, 2013, NAT HAZARDS, V68, P1385, DOI 10.1007/s11069-012-0175-8
   Pace B, 2011, B EARTHQ ENG, V9, P199, DOI 10.1007/s10518-010-9238-y
   Paglierecci F, 2008, INT T SYSTEMS SCI AP, V4, P367
   Panza GF, 2012, ADV GEOPHYS, P53
   Parisi DR, 2005, PHYSICA A, V354, P606, DOI 10.1016/j.physa.2005.02.040
   Pelechano N, 2008, AUTOMAT CONSTR, V17, P377, DOI 10.1016/j.autcon.2007.06.005
   Prati G, 2012, DISASTERS, V36, P439, DOI 10.1111/j.1467-7717.2011.01264.x
   Qiu FS, 2010, SIMUL MODEL PRACT TH, V18, P190, DOI 10.1016/j.simpat.2009.10.005
   Riad JK, 1999, J APPL SOC PSYCHOL, V29, P918, DOI 10.1111/j.1559-1816.1999.tb00132.x
   Robin T, 2009, TRANSPORT RES B-METH, V43, P36, DOI 10.1016/j.trb.2008.06.010
   Robinette P, 2011, 2011 IEEE ROMAN, P1
   Roca A, 2006, B EARTHQ ENG, V4, P141, DOI 10.1007/s10518-006-9003-4
   Ronchi E, 2013, PROCESS VERIFICATION, V1822
   Rossetto T, 2011, B EARTHQ ENG, V9, P11, DOI 10.1007/s10518-010-9221-7
   Schadschneider A., 2009, ENCY COMPLEXITY SYST, P517
   Seyfried A, 2005, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2005/10/P10002
   Seyfried A, 2006, PHYSICA A, V368, P232, DOI 10.1016/j.physa.2005.11.052
   Shen TS, 2005, BUILD ENVIRON, V40, P671, DOI 10.1016/j.buildenv.2004.08.029
   Shi L, 2009, BUILD ENVIRON, V44, P1724, DOI 10.1016/j.buildenv.2008.11.008
   Shiwakoti N., 2008, 31st Australasian Transport Research Forum (ATRF), P457
   Strollo A, 2012, B EARTHQ ENG, V10, P493, DOI 10.1007/s10518-011-9256-4
   Tai CA, 2010, J ASIAN ARCHIT BUILD, V9, P215, DOI 10.3130/jaabe.9.215
   Takuma T, P JAP US DIS RES SEM, P184
   Tang AP, 2009, COMPUT GEOSCI-UK, V35, P871, DOI 10.1016/j.cageo.2008.03.003
   Teknomo K, 2001, P E ASIA SOC TRANSPO
   Turner R. H., 1986, WAILING DISASTER EAR
   Vicente R, 2011, B EARTHQ ENG, V9, P1067, DOI 10.1007/s10518-010-9233-3
   Yang LZ, 2005, BUILD ENVIRON, V40, P411, DOI 10.1016/j.buildenv.2004.08.005
   Yang XL, 2013, NAT HAZARDS, V65, P1765, DOI 10.1007/s11069-012-0447-3
   Yang XL, 2011, PHYSICA A, V390, P2375, DOI 10.1016/j.physa.2010.10.019
   Yu E., 2010, SOCIAL MODELING REQU
   Yu E, 2011, Social modeling for requirements engineering
   Yu ES, 2009, LECT NOTES COMPUT SC, V5600, P99, DOI 10.1007/978-3-642-02463-4_7
   Zanini MA, 2013, B EARTHQ ENG, V11, P561, DOI 10.1007/s10518-012-9400-9
   Zanlungo F, 2011, EPL-EUROPHYS LETT, V93, DOI 10.1209/0295-5075/93/68005
   Zhao DL, 2008, BUILD ENVIRON, V43, P518, DOI 10.1016/j.buildenv.2007.01.011
   Zheng XP, 2010, PHYSICA A, V389, P2177, DOI 10.1016/j.physa.2010.01.048
   Zheng XP, 2009, BUILD ENVIRON, V44, P437, DOI 10.1016/j.buildenv.2008.04.002
NR 119
TC 56
Z9 57
U1 5
U2 72
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD DEC
PY 2014
VL 10
BP 153
EP 177
DI 10.1016/j.ijdrr.2014.08.002
PN A
PG 25
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA CM5NC
UT WOS:000357733900013
DA 2025-04-22
ER

PT J
AU Turam, B
AF Turam, Berna
TI Refugees in borderlands: Safe places versus securitization in Athens,
   Greece
SO JOURNAL OF URBAN AFFAIRS
LA English
DT Article
ID SECURITY; CITIES; SANCTUARY; ANTHROPOLOGY; MOVEMENTS; STATE
AB Following the start of the Syrian civil war, the Mediterranean Sea gradually became a cemetery for refugees. As Europe closed borders and criminalized refugee rescue efforts, some gateway cities took on a new role of refugee protection and accommodation. These "cities of refuge" created safe havens for refugees while resisting Europe's fear-inducing anti-immigrant regime and rising xenophobia. This article analyzes how Athens became an exemplary city of refuge. My ethnographic fieldwork (2017-2019) shows how collaboration among a left-wing municipality and network of local pro-refugee NGOs and activists effectively challenged right-wing populism, racism, and ultranationalism. Complicating current debates on cities of refuge as welcoming places, I argue that the power of Athens does not come from solving Europe's so-called refugee crisis, erasing conflict, or undoing rampant fear of the Muslim refugee. To the contrary, the city of refuge is built from the bottom up through high levels of political contestation. I argue that the politics of refuge is manifested through the everyday creation of safe (urban) places sustained by inclusion and juxtaposed against top-down securitized spaces that are upheld by fear and exclusion. Athens is a resilient city of refuge that stands as a bulwark against the EU's border politics even amid economic crisis.
C1 [Turam, Berna] Northeastern Univ, Boston, MA 02115 USA.
C3 Northeastern University
RP Turam, B (corresponding author), 1400 Ctr St,Unit 404, Roslindale, MA 02131 USA.
EM b.turam@neu.edu
FU Max Planck, Dahrendorf and Erasmus fellowships
FX This research was supported by Max Planck, Dahrendorf and Erasmus
   fellowships.
CR Ackleson J, 2005, POLIT GEOGR, V24, P165, DOI 10.1016/j.polgeo.2004.09.017
   Amar Paul., 2013, The Security Archipelago: Human-Security States, Sexuality Politics, and the End of Neoliberalism
   Andersson R, 2016, J ETHN MIGR STUD, V42, P1055, DOI 10.1080/1369183X.2016.1139446
   [Anonymous], 2005, CONTROLLING FRONTIER
   [Anonymous], Life as Politics, V87, DOI DOI 10.1515/9780804786331
   [Anonymous], 1998, SPACES DEMOCRACY
   Bagelman J, 2013, ALTERNATIVES, V38, P49, DOI 10.1177/0304375412469314
   Bagelman JJ, 2016, PALGRAVE PIVOT, P1, DOI 10.1057/9781137480385
   Bauder H, 2017, INT MIGR, V55, P174, DOI 10.1111/imig.12308
   Betts Alexander., 2017, Refuge: Rethinking Refugee Policy in a Changing World
   Bialasiewicz L, 2007, POLIT GEOGR, V26, P405, DOI 10.1016/j.polgeo.2006.12.002
   Bigo D., 2001, AA.VV.
   Bloemraad Irene., 2006, BECOMING CITIZEN INC
   BodyGendrot S, 2012, TRANSNAT CRIME CRIME, P1, DOI 10.1057/9781137023025
   Boyce GA, 2018, POLIT GEOGR, V64, P1, DOI 10.1016/j.polgeo.2018.02.001
   Cesari J, 2010, ROUTL STUD LIB SECUR, P9
   Collingwood LorenBenjamin Gonzalez O'Brien., 2019, Sanctuary Cities: The Politics of Refuge
   [Crepeau Francois. International Association for the Study of Forced Migration International Association for the Study of Forced Migration], 2006, FORCED MIGRATION GLO
   de Graauw E., 2016, MAKING IMMIGRANT RIG, V1st, DOI [10.7591/9781501703492, DOI 10.7591/9781501703492]
   Delgado M., 2018, Sanctuary Cities, Communities, and Organizations: A Nation at a Crossroads
   Dike9 M., 2007, BADLANDS REPUBLIC SP
   Diken Bulent., 2004, CITIZENSHIP STUD, V8, P83, DOI DOI 10.1080/1362102042000178373
   Ellermann A, 2006, WEST EUR POLIT, V29, P293, DOI 10.1080/01402380500512627
   Feldman Gregory., 2012, The migration apparatus: security, labor, and policymaking in the European Union
   Ferreira S., 2019, Human Security and Migration in Europe's Southern Borders
   Fraser Nancy., 1992, HABERMAS PUBLIC SPHE, P109
   Glück Z, 2017, ANTHROPOL THEOR, V17, P281, DOI 10.1177/1463499617729229
   Glück Z, 2017, ANTHROPOL THEOR, V17, P297, DOI 10.1177/1463499617729295
   Glück Z, 2015, ENVIRON PLANN D, V33, P642, DOI 10.1068/d14245p
   Goldstein DM, 2010, CURR ANTHROPOL, V51, P487, DOI 10.1086/655393
   Guild E., 2009, SECURITY MIGRATION 2
   Gusterson H., 2010, INSECURE AM WE GOT H
   Harvey D, 2003, INT J URBAN REGIONAL, V27, P939, DOI 10.1111/j.0309-1317.2003.00492.x
   Hintjens H, 2014, PEACE REV, V26, P218, DOI 10.1080/10402659.2014.906889
   Hinze AnnikaMarlen., 2013, Turkish Berlin: Integration Policy and Urban Space
   Hoffstaedter, 2018, URBAN REFUGEES CHALL
   Isin E, 2018, SOC INCL, V6, P115, DOI 10.17645/si.v6i1.1304
   JOHNSON H. L., 2012, CITIZENSHIP MIGRANT, P121
   Kasaba Resat., 2009, MOVEABLE EMPIRE OTTO
   Komporozos-Athanasiou A, 2018, MIGRATION SOC, V1, P127, DOI DOI 10.3167/ARMS.2018.010111
   Lipsky M., 1980, STREEL LEVEL BUREAUC
   Low S, 2003, GATES LIFE SECURITY
   Low S.M., 1997, City Society, V9, P53, DOI 10.1525/ciso.1997.9.1.53
   Low SM, 2001, AM ANTHROPOL, V103, P45, DOI 10.1525/aa.2001.103.1.45
   Mancina Peter., 2012, Sanctuary Practices in International Perspectives: Migration, Citizenship and Social Movements, P205, DOI DOI 10.4324/9780203128947-19
   Marcus Georges., 1998, ETHNOGRAPHY THICK TH
   Martin L., 2015, WILEY BLACKWELL COMP, P100
   Masco Joseph., 2014, THEATER OPERATIONS N
   McDaniel PN, 2019, J URBAN AFF, V41, P1142, DOI 10.1080/07352166.2019.1572456
   Meyer DS, 1996, AM J SOCIOL, V101, P1628, DOI 10.1086/230869
   Migdal JoelS., 2001, STATE IN SOC
   Monroe KristinV., 2016, INSECURE CITY SPACE
   Mountz A, 2014, ANN ASSOC AM GEOGR, V104, P382, DOI 10.1080/00045608.2013.857547
   Nicholls WJ., 2017, CITIES SOCIAL MOVEME
   O'Brien BG, 2019, URBAN AFF REV, V55, P3, DOI 10.1177/1078087417704974
   Pastor M., 2016, UNSETTLED AM METROPO
   Ramakrishnan S.Karthick., 2010, TAKING LOCAL CONTROL
   Rehaag S., 2013, CITIES INT PERSPECTI
   Ridgley J., 2013, Sanctuary Practices in International Perspectives: Migration, Citizenship, and Social Movements, P219
   Ridgley J, 2008, URBAN GEOGR, V29, P53, DOI 10.2747/0272-3638.29.1.53
   Sajed A., 2012, CITIZENSHIP MIGRANT, P20
   Steil JP, 2014, AM J SOCIOL, V119, P1104, DOI 10.1086/675301
   Turam B, 2013, INT J URBAN REGIONAL, V37, P409, DOI 10.1111/1468-2427.12003
   Turam Berna., 2007, ISLAM STATE POLITICS
   Turam Berna., 2015, GAINING FREEDOMS CLA
   Varsanyi Monica W., 2010, TAKING LOCAL CONTROL
   Weinstein, 2019, SPOTLIGHT POLITICAL, V43
   Wimmer A, 2014, AM J SOCIOL, V120, P146, DOI 10.1086/677207
NR 68
TC 5
Z9 5
U1 3
U2 7
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0735-2166
EI 1467-9906
J9 J URBAN AFF
JI J. Urban Aff.
PD JUL 3
PY 2021
VL 43
IS 6
SI SI
BP 756
EP 780
DI 10.1080/07352166.2021.1925128
EA JUL 2021
PG 25
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA TR5CX
UT WOS:000669131300001
OA hybrid
DA 2025-04-22
ER

PT J
AU von der Tann, L
   Metje, N
   Admiraal, H
   Collins, B
AF von der Tann, Loretta
   Metje, Nicole
   Admiraal, Han
   Collins, Brian
TI The hidden role of the subsurface for cities
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-CIVIL ENGINEERING
LA English
DT Article
DE infrastructure planning; town & city planning; tunnels & tunnelling
ID UNDERGROUND SPACE; FRAMEWORK
AB The evolution of cities is directly linked to their subsurface: the local geology and hydrogeology alongside the history of human interventions are the basis for the present structure and organisation of cities and affect the prospects for future developments within and above the ground. The underground serves multiple purposes in cities including; providing stability for buildings, providing drinking water and materials, serving as a heat source or retention basin, and accommodating infrastructure and developments. In the face of growth predictions and climate change, interdependencies between urban planning objectives and the subsurface, such as placing infrastructure underground to release surface congestion, remediation of brownfields for development, or prospecting for geothermal energy, become ever more important. This paper reviews current initiatives in industry, policy and research in the UK, which aim for changes in urban subsurface management and governance. It identifies the multitude of planning topics in which the subsurface implicitly features, many of which are commonly only addressed at project level. It highlights that the wider impact of these interventions on underground space and the development of the city is not considered. Consequently, the value of the subsurface for sustainable and resilient development of cities may not be realised.
C1 [von der Tann, Loretta] UCL, Dept Civil Environm & Geomat Engn, London, England.
   [Metje, Nicole] Univ Birmingham, Coll Engn & Phys Sci, Dept Civil Engn, Sch Engn,Infrastruct Monitoring, Birmingham, W Midlands, England.
   [Admiraal, Han] Enprodes Management Consultancy BV, ITA Comm Underground Space, Rotterdam, Netherlands.
   [Collins, Brian] UCL, Dept Civil Environm & Geomat Engn, Engn Policy, London, England.
C3 University of London; University College London; University of
   Birmingham; University of London; University College London
RP von der Tann, L (corresponding author), UCL, Dept Civil Environm & Geomat Engn, London, England.
RI Metje, Nicole/AAE-1508-2022
OI Collins, Brian/0000-0003-4312-038X
FU EPSRC
FX This work was supported by the EPSRC funded Centre for Urban
   Sustainability and Resilience at University College London. The authors
   would like to thank Gillian Dick, GCC, and Helen Bonsor, BGS, for their
   comments on the paper.
CR Admiraal H, 2016, TUNN UNDERGR SP TECH, V55, P214, DOI 10.1016/j.tust.2015.11.013
   AGS (Association of Geotechnical & Geoenvironmental Specialists), 2017, DAT MAN
   [Anonymous], THINK DEEP PLANNING
   Bartel S, 2016, TUNN UNDERGR SP TECH, V55, P112, DOI 10.1016/j.tust.2015.11.023
   Bell FG, 2003, UNESCO ENCY LIFE SUP
   BGS, 2017, LEG FRAM NAT GEOL RE
   BGS (British Geological Survey), 2017, BGS IMPR SERV WORKSH
   Bland J, 2014, ADV SOIL MECH, V3, P67, DOI 10.3233/978-1-61499-417-6-67
   Bobylev N, 2009, LAND USE POLICY, V26, P1128, DOI 10.1016/j.landusepol.2009.02.003
   Bonsor H, 2017, OR17005 BGS
   Bonsor HC, 2013, GROUND ENG, V46, P25
   BRO, 2017, GEG IN DE BRO
   BSI, 2014, 1282014 BSI PAS
   BSI, 2017, 2562017 BSI PAS
   Campbell SDG, 2010, Z DTSCH GES GEOWISS, V161, P251, DOI 10.1127/1860-1804/2010/0161-0251
   City of London, 2013, LOC PLAN
   Cost (European Cooperation in Science and Technology), 2017, SUB
   Costello SB, 2007, TUNN UNDERGR SP TECH, V22, P524, DOI 10.1016/j.tust.2007.06.001
   Curiel-Esparza J, 2004, SCI ENG ETHICS, V10, P523, DOI 10.1007/s11948-004-0009-5
   Darroch N, 2016, INFRASTRUCT ASSET MA, V3, P122, DOI 10.1680/jinam.16.00008
   DCLG (Department for Communities and Local Government), 2016, PLANN PRACT GUID
   Deelstra T., 2000, Growing cities, growing food: urban agriculture on the policy agenda. A reader on urban agriculture, P43
   Defra (Department for Environment Food and Rural Affairs), 2014, GROUNDW WAT FRAM DIR
   DfT (Department for Transport), 2015, EC STREETW LAN RENT
   Dick G, 2017, COST SUB C BUCH HUNG
   Doyle MR, 2016, TUNN UNDERGR SP TECH, V55, P83, DOI 10.1016/j.tust.2016.01.021
   EC, 2008, OFFICIAL J EUROPEA L, V312
   EC, 2000, OFFICIAL J EUROPEA L, V327, P1, DOI DOI 10.1039/AP9842100196
   European Commission, 2011, Cities of Tomorrow: Challenges, Visions, Ways Forward
   European Commission, AB INSP
   European Commission, 2017, URBAN DEV
   Foster S., 2011, WATER FRONT, V2011, P21
   GCC, 2017, CIT DEV PLAN
   GCC (Glasgow City Council), 2017, CIT DEV PLAN SUPPL G
   Goodwin P., 2005, UTILITIES STREET WOR
   HM Land Registry, 2015, HM LAND REG PLANS BO
   HMG, 2012, ENV PROT PUBL SECT I
   HMG, 2017, WAT RES ENGL WAL WAT
   HMG, 2010, ENV PROT ENGL WAL EN
   HMG, 2009, ENV PROT PUBL SECT I
   HMG, 2003, WAT ENGL WAL URB WAS
   HMG, 2015, EL ENGL WAL REN OBL
   HMG, 2009, ENV PRET FLOOD RISK
   HMG, 2017, TOWN COUNTR PLANN TO
   HMG, 2011, ENV PROT ENGL WAL WA
   HMG, 2017, INFR PLANN INFR PLAN
   HMG, 2004, ENV PROT ENV ASS PLA
   HMG, 2009, ENV PROT ENGL WAL GR
   HMG (Her Majesty's Government), 1994, WAT ENGL WAL URB WAS
   House of Commons, 2016, 07459 HOUS COMM
   Hunt DVL, 2014, TUNN UNDERGR SP TECH, V39, P15, DOI 10.1016/j.tust.2012.02.001
   London Assembly, 2016, MD2009 LOND INFR MAP
   Meuser H, 2010, ENV POLLUTION, V18
   MtU (Mapping the Underworld), 2012, PROJ SUMM
   National Grid, 2017, SUPP FUT EN US LOND
   Nelson PP, 2016, TUNN UNDERGR SP TECH, V55, P32, DOI 10.1016/j.tust.2015.10.023
   Phull R, 2017, PAS 256 IS HEREL INC
   Price SJ, 2011, PHILOS T R SOC A, V369, P1056, DOI 10.1098/rsta.2010.0296
   Rawlins BG, 2015, SOIL USE MANAGE, V31, P46, DOI 10.1111/sum.12079
   RPG (Raumplanungsgesetz), 2015, BUND UEB REUMPL ENTW
   Scalenghe R, 2009, LANDSCAPE URBAN PLAN, V90, P1, DOI 10.1016/j.landurbplan.2008.10.011
   Sterling R, 2012, PROC INST CIV ENG-U, V165, P241, DOI 10.1680/udap.10.00020
   Tegtmeier W, 2014, COMPUT GEOSCI-UK, V64, P126, DOI 10.1016/j.cageo.2013.11.003
   Thomas AM, 2009, J APPL GEOPHYS, V67, P345, DOI 10.1016/j.jappgeo.2008.07.006
   UN Habitat III, NEW URB AG ISS PAP
   UN (United Nations), 2001, ATL URB GEOL, V12
   United Nations, Sustainable Development Goals
   United Nations, 2003, ATL URB GEOL, V14
   Watson C., 2017, DATA ACQUISITION MAN
   Whitbread K, 2016, GLASGOW TU1206 COST
NR 70
TC 8
Z9 8
U1 5
U2 34
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 0965-089X
EI 1751-7672
J9 P I CIVIL ENG-CIV EN
JI Proc. Inst. Civil Eng.-Civil Eng.
PD NOV
PY 2018
VL 171
IS 6
SI SI
BP 31
EP 37
DI 10.1680/jcien.17.00028
PG 7
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA GW6HF
UT WOS:000447053300005
OA Green Published, hybrid, Green Submitted
DA 2025-04-22
ER

PT J
AU Yaghi, A
   Abuhassan, L
   Hamdan, D
   Aalwneh, L
   Khushamn, L
   Tarawneh, S
   Goussous, J
AF Yaghi, Amro
   Abuhassan, Lama
   Hamdan, Dana
   Aalwneh, Lubna
   Khushamn, Lama
   Tarawneh, Saba
   Goussous, Jawdat
TI Typologies of informal adaptations of communal spaces:a comparative
   study between different socio-economic spatial settings in Amman
SO URBAN RESEARCH & PRACTICE
LA English
DT Article
DE Typologies; informal adaptation; formal communal space; public space;
   communal spaces
ID DESIGN
AB This research reflects on various typologies of informal adaptations to communal spaces. Amman City has faced several humanitarian and economic crises that have played a significant role in its urban expansion. New patterns of communal space utilization have emerged, enabling the local community to develop and define its informal spaces and practices. To define these emerging typologies, the study uses comparative analysis in different socio-economic settings and mainly qualitative approaches. The study concludes with some reflections on how to learn from such practices and contribute to future resilient urban plans for the city and similar contexts.
C1 [Yaghi, Amro] Univ Petra, Dept Architecture, Amman, Jordan.
   [Abuhassan, Lama] Univ Petra, Dept Digital Film Design Technol, Amman, Jordan.
   [Hamdan, Dana] Univ Brighton, Sch Architecture Technol & Engn, Brighton, England.
   [Aalwneh, Lubna] Bauhaus Univ Weimar, Sch Architecture, Weimar, Germany.
   [Khushamn, Lama; Tarawneh, Saba] German Jordanian Univ, Sch Architecture & Built Environm, Amman, Jordan.
   [Goussous, Jawdat] Univ Jordan, Dept Architecture, Amman, Jordan.
C3 Petra University; Petra University; University of Brighton;
   Bauhaus-Universitat Weimar; German-Jordanian University; University of
   Jordan
RP Yaghi, A (corresponding author), Univ Petra, Dept Architecture, Amman, Jordan.
EM Amro.yaghi@uop.edu.jo
RI Hamdan, Dana/LGZ-4566-2024; Abuhassan, Lama/HZH-5890-2023
OI Hamdan, Dana/0000-0001-8517-1957; Abuhassan, Lama/0000-0003-4700-7165;
   Goussous, Dr Jawdat/0000-0002-6882-8192
FU Project "Regenerating Cities during Crisis: Culturally- Routed and
   Sustainable Strategies for Middle Eastern Cities" - British Council
   Newton Fund Researcher Links Programme
FX This publication was supported by the project "Regenerating Cities
   during Crisis: Culturally- Routed and Sustainable Strategies for Middle
   Eastern Cities" funded by the British Council Newton Fund Researcher
   Links Programme.'
CR Ababsa M., 2011, SOCIAL DISPARITIES P, DOI [10.4000/books.ifpo.1675, DOI 10.4000/BOOKS.IFPO.1675]
   Abu-Dayyeh A. N. I., 2004, PLAN PERSPECT, V19, P79, DOI [DOI 10.1080/0266543042000177922, 10.1080/0266543042000177922]
   Abu-Ghozalah S., 2007, ARQ-ARCHIT RES Q, V11, P81, DOI [https://doi.org/10.1017/S1359135507000528, DOI 10.1017/S1359135507000528]
   Alnsour JA, 2016, CITIES, V50, P93, DOI 10.1016/j.cities.2015.08.011
   [Anonymous], 2012, Urban Planning for City Leaders
   Ariestadi D, 2018, AIP CONF PROC, V1977, DOI 10.1063/1.5042993
   Beauregard RA, 2011, CITIES, V28, P62, DOI 10.1016/j.cities.2010.09.002
   Cantada I., 2015, WHY PUBLIC SPACE PLA
   Carmona M., 2008, PUBLIC SPACE MANAGEM
   Carmona M., 2021, PUBLIC PLACES URBAN, DOI DOI 10.4324/9781315158457
   Carmona M., 2006, J ENV PLANNING MANAG, V49, P75, DOI [DOI 10.1080/09640560500373162, 10.1080/09640560500373162]
   Carmona M, 2010, J URBAN DES, V15, P123, DOI 10.1080/13574800903435651
   Carr S., 1992, Urban Design Reader, P230
   Daher R., 2010, REG C CIV SOC CULT H
   Daher RF, 2008, PLAN HIST ENVIRON SE, P37
   Foster S, 2010, HEALTH PLACE, V16, P1156, DOI 10.1016/j.healthplace.2010.07.007
   Francis Mark., 1987, The Making of Democratic Streets
   Fu Q, 2018, HEALTH PLACE, V53, P1, DOI 10.1016/j.healthplace.2018.06.007
   Gehl Jan., 2004, Public Spaces, Public Life, Copenhagen
   Harrigan Jane., 2006, REV INT ORGAN, V1, P263
   Jordan Department of Statistics, 2015, POPULATION
   LaGory Mark., 1981, Urban Social Space
   Lee D, 2022, URBAN RES PRACT, V15, P366, DOI 10.1080/17535069.2020.1815828
   Lefebvre Henri, 1992, PRODUCTION SPACE, DOI DOI 10.1027/1618-3169/A000129
   Lynch K., 1960, IMAGE CITY
   Madanipour A, 1996, ENVIRON PLANN D, V14, P331, DOI 10.1068/d140331
   Martine, 2008, PREPARING SUSTAINABL
   Petrescu Doina., 2017, SOCIAL RE PRODUCTION
   Sassoon J., 2008, The Iraqi refugees: The new crisis in the Middle-East
   SOJA EW, 1980, ANN ASSOC AM GEOGR, V70, P207, DOI 10.1111/j.1467-8306.1980.tb01308.x
   Swaidan Ziad., 2002, MIDDLE E REV INT AFF, V6, P70
   Thompson I., 1998, CONTRACTING STRATEGI
   UN-Habitat, 2015, HAB 3 ISS PAP PUBL S
   WCED, 1985, WORLD COMMISSION ENV
   World Health Organization, 2018, GLOBAL STATUS REPORT
   Yaghi A., 2020, J PUBLIC SPACE, V5 n, P37, DOI [https://doi.org/10.32891/jps.v5i1.1250, DOI 10.32891/JPS.V5I1.1250]
   Yaghi A, 2019, ARCHNET-IJAR, V13, P718, DOI 10.1108/ARCH-04-2019-0077
NR 37
TC 0
Z9 0
U1 1
U2 1
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1753-5069
EI 1753-5077
J9 URBAN RES PRACT
JI Urban Res. Pract.
PD JAN 1
PY 2025
VL 18
IS 1
BP 29
EP 58
DI 10.1080/17535069.2024.2383991
EA JUL 2024
PG 30
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA X1U2W
UT WOS:001275339700001
DA 2025-04-22
ER

PT J
AU Tirupathi, C
   Shashidhar, T
   Pandey, VP
   Shrestha, S
AF Tirupathi, Chanapathi
   Shashidhar, Thatikonda
   Pandey, Vishnu P.
   Shrestha, Sangam
TI Fuzzy-based approach for evaluating groundwater sustainability of Asian
   cities
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Asian cities; Fuzzy logic; Groundwater; Sustainability
ID CRITERIA DECISION-MAKING; LAND SUBSIDENCE; INDICATORS; WATER; RESOURCES;
   LOGIC; BASIN; TOOL; MANAGEMENT; INDEXES
AB The objective of this research is to develop a fuzzy-based groundwater sustainability index (FGSI) model to evaluate the sustainability of groundwater system at selected cities in Asian.
   The new Mamdani type fuzzy-based inference system known as FGSI was developed. It contains five components and twenty-four indicators, which covers five dimensions of sustainability, namely, environmental, social, economic, mutual trust, and institutional. The FGSI model offers a novel combination of indicators, which covers aspects of groundwtaer quality, quantity, and management. An attempt was made to develop a robust index for estimating the groundwater sustainability. The model was evaluated for selected cities in Asian with different difuzzification methods, and compared with the conventional method. The centroid defuzzification method produced well diversified results compared with other methods, including conventional method. The overall groundwater sustainability of Hyderabad of India was estimated as highly sustainable and, Lahore of Pakistan, Bangkok of Thailand, Ho Chi Minh City of Vietnam and Yangon City of Myanmar were estimated as moderately sustainable. The FGSI model may help to policy and decision makers to provide a reliable and resilient sustainable management system in the cities by identifying the indicators for the improvement.
C1 [Tirupathi, Chanapathi; Shashidhar, Thatikonda] IIT Hyderabad, Dept Civil Engn, Kandi 502285, Telangana, India.
   [Pandey, Vishnu P.] IWMI, Hydrogeol Water Resources Management, Nepal Off, Lalitpur, Nepal.
   [Shrestha, Sangam] Asian Inst Technol, Water Engn & Management, Sch Engn & Technol, POB 4, Khlong Luang 12120, Pathum Thani, Thailand.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Hyderabad; CGIAR; International Water Management
   Institute (IWMI); Asian Institute of Technology
RP Shashidhar, T (corresponding author), IIT Hyderabad, Dept Civil Engn, Kandi 502285, Telangana, India.
EM shashidhar@iith.ac.in
RI thatikonda, shashidhar/AAU-1966-2020; Tirupathi,
   Chanapathi/JPK-5368-2023
OI Chanapathi, Tirupathi/0000-0001-7258-4867; thatikonda,
   shashidhar/0000-0003-2973-2224; Pandey, Vishnu
   Prasad/0000-0001-5258-7446
FU Frontier Areas of Science and Technology - Centre of Excellence
   (FAST-CoE) in Sustainable Development at I.I.T. Hyderabad - Ministry of
   Human Resource Development, India; Asia Pacific Network for Global
   Change Research (APN) [CBA2013-06NSY]
FX The authors like to acknowledge the support from Frontier Areas of
   Science and Technology - Centre of Excellence (FAST-CoE) in Sustainable
   Development at I.I.T. Hyderabad, funded by the Ministry of Human
   Resource Development, India. The authors are also like to acknowledge
   the support from Asia Pacific Network for Global Change Research (APN)
   for the project CBA2013-06NSY-Shrestha: Enhancing the Groundwater
   Management Capacity in Asian Cities through the Development and
   Application of Groundwater Sustainability Index in the context of Global
   change
   (http://www.apn-gcr.org/resources/items/show/1901#.U3w92XKSxHo).Authors
   also extend sincere thanks to all project partners to provide the data
   for this study.
CR Abidin HZ, 2011, NAT HAZARDS, V59, P1753, DOI 10.1007/s11069-011-9866-9
   Adriaenssens V, 2004, SCI TOTAL ENVIRON, V319, P1, DOI 10.1016/S0048-9697(03)00433-9
   Aeschbach-Hertig W, 2012, NAT GEOSCI, V5, P853, DOI [10.1038/NGEO1617, 10.1038/ngeo1617]
   Alley W.M., 1999, Circular, V1186, DOI [DOI 10.3133/CIR1186, 10.3133/cir1186]
   Anbazhagan S, 2016, J GEOL SOC INDIA, V87, P161, DOI 10.1007/s12594-016-0384-y
   Andriantiatsaholiniaina LA, 2004, ECOL ECON, V48, P149, DOI 10.1016/j.ecolecon.2003.08.009
   Belousova A, 2006, IAHS-AISH P, V302, P21
   Belousova AP, 2003, IAHS-AISH P, P48
   Bhanja SN, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07058-2
   Bockstaller C, 2017, ENVIRON MODELL SOFTW, V97, P130, DOI 10.1016/j.envsoft.2017.07.011
   Bricker SH, 2017, LAND USE POLICY, V69, P618, DOI 10.1016/j.landusepol.2017.09.018
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Cavallaro F, 2015, SUSTAINABILITY-BASEL, V7, P12359, DOI 10.3390/su70912359
   Chen J, 2015, ENVIRON EARTH SCI, V73, P2353, DOI 10.1007/s12665-014-3583-0
   Chen J, 2018, INT J WATER RESOUR D, V34, P354, DOI 10.1080/07900627.2016.1238348
   Conrad E, 2018, CALIF AGR, V72, P44, DOI 10.3733/ca.2018a0002
   David R.B., 2016, Papers in Applied Geography, V2, P96, DOI [10.1080/23754931.2015.1107617, DOI 10.1080/23754931.2015.1107617]
   De Carvalho SCP, 2009, WATER SA, V35, P144
   Döll P, 2012, J GEODYN, V59-60, P143, DOI 10.1016/j.jog.2011.05.001
   El-Kadi AI, 2014, HYDROGEOL J, V22, P625, DOI 10.1007/s10040-013-1084-y
   Gleeson T, 2012, GROUND WATER, V50, P19, DOI 10.1111/j.1745-6584.2011.00825.x
   Gleick P. H., 2016, WILEY STABLE, V8, P571
   Hoekstra AY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba52
   Hudson M, 2002, GEOL SOC SPEC PUBL, V193, P91, DOI 10.1144/GSL.SP.2002.193.01.08
   Icaga Y, 2007, ECOL INDIC, V7, P710, DOI 10.1016/j.ecolind.2006.08.002
   Lee JM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030831
   Liu KFR, 2007, ENVIRON MANAGE, V39, P721, DOI 10.1007/s00267-005-0395-8
   Llamas M.R., 2006, INT S GROUNDW SUST, P23
   Lutz A, 2009, ENVIRON GEOL, V58, P1441, DOI 10.1007/s00254-008-1646-9
   Mays LW, 2013, WATER RESOUR MANAG, V27, P4409, DOI 10.1007/s11269-013-0436-7
   McNeill F.M., 1994, Fuzzy logic: A practical approach
   Abdullah M. P., 2008, Open Environmental Sciences, V2, P101, DOI 10.2174/1876325100802010101
   Ngo MT, 2015, GEOSCI J, V19, P547, DOI 10.1007/s12303-014-0052-4
   Mitra S., 2015, Int. J. Ecosyst, V5, P43, DOI DOI 10.5923/C.IJE.201501.06
   Mogharreban N, 2006, NAFIPS 2006 - 2006 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2, P257, DOI 10.1109/NAFIPS.2006.365418
   Myburgh JA, 2012, WATER SA, V38, P427, DOI 10.4314/wsa.v38i3.8
   Naaz S., 2011, Int. J. Comput. Sci. Issues (IJCSI), V8, P261
   Onder H., 2005, European Water, V11/12, P35
   Pandey VP, 2011, ENVIRON SCI POLICY, V14, P396, DOI 10.1016/j.envsci.2011.03.008
   Phien-wej N, 2006, ENG GEOL, V82, P187, DOI 10.1016/j.enggeo.2005.10.004
   Phillis YA, 2001, ECOL ECON, V37, P435, DOI 10.1016/S0921-8009(00)00290-1
   Portoghese I, 2013, ENVIRON MODELL SOFTW, V46, P90, DOI 10.1016/j.envsoft.2013.03.001
   Prato T, 2005, ECOL MODEL, V187, P361, DOI 10.1016/j.ecolmodel.2005.01.035
   Rajaram T, 2010, EXPERT SYST APPL, V37, P1734, DOI 10.1016/j.eswa.2009.07.035
   Rezaei F, 2013, ENVIRON MANAGE, V51, P267, DOI 10.1007/s00267-012-9960-0
   Rossi R, 2013, EUR TRANSP RES REV, V5, P11, DOI 10.1007/s12544-012-0086-5
   Runkler TA, 1997, IEEE T FUZZY SYST, V5, P72, DOI 10.1109/91.554449
   Santikayasa I. P., 2017, APPL GROUNDWATER SUS
   Santos SA, 2017, J ENVIRON MANAGE, V198, P95, DOI 10.1016/j.jenvman.2017.04.076
   Sarah S, 2014, J HYDROL, V519, P1405, DOI 10.1016/j.jhydrol.2014.09.016
   Sharma UC, 2006, IAHS-AISH P, V302, P43
   Srinivas R, 2015, AQUAT PR, V4, P1023, DOI 10.1016/j.aqpro.2015.02.129
   Taylor P., 2014, HYDROLOG SCI J, V59, P37
   Van Mechelen C, 2015, SUSTAIN CITIES SOC, V19, P74, DOI 10.1016/j.scs.2015.07.007
   Wei H, 2014, J ARID LAND, V6, P264, DOI 10.1007/s40333-013-0210-y
   Zadeh LA, 2008, INFORM SCIENCES, V178, P2751, DOI 10.1016/j.ins.2008.02.012
   Zellner ML, 2012, J ENVIRON PLANN MAN, V55, P545, DOI 10.1080/09640568.2011.614426
   Zhao J, 2002, IEEE IND ELEC, P229, DOI 10.1109/IECON.2002.1187512
   Zhou PP, 2017, GEOFLUIDS, DOI 10.1155/2017/7080346
NR 59
TC 25
Z9 26
U1 1
U2 31
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD JAN
PY 2019
VL 44
BP 321
EP 331
DI 10.1016/j.scs.2018.09.027
PG 11
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA HC4DZ
UT WOS:000451754200026
DA 2025-04-22
ER

PT J
AU Stone, B Jr
   Lanza, KV
   Mallen, E
   Vargo, J
   Russell, A
AF Stone Jr, Brian
   Lanza, Kevin
   Mallen, Evan
   Vargo, Jason
   Russell, Armistead
TI Urban Heat Management in Louisville, Kentucky: A Framework for Climate
   Adaptation Planning
SO JOURNAL OF PLANNING EDUCATION AND RESEARCH
LA English
DT Article
DE climate change; climate change adaptation; urban resilience; public
   health; green infrastructure; urban heat island
ID SURFACE-TEMPERATURE; AIR-TEMPERATURE; VEGETATION; ENVIRONMENT;
   MORTALITY; DEATHS; STRESS; HEALTH; CITIES; ROOFS
AB We explore the potential for cities to develop urban heat management plans to moderate rising temperatures and to lessen the impact of extreme heat on human health. Specifically, we model the impacts of heat management strategies, including tree planting and other green infrastructure, cool roofing and paving, and a reduction in waste heat emissions from buildings and vehicles, on estimated heat-related mortality across Louisville, Kentucky. Our assessment finds a combination of urban heat management strategies to lessen summer temperatures by as much as 10 degrees F on hot days and to reduce estimated heat-related mortality by more than 20 percent.
C1 [Stone Jr, Brian; Mallen, Evan; Russell, Armistead] Georgia Inst Technol, Atlanta, GA USA.
   [Lanza, Kevin] Univ Texas Austin, Austin, TX USA.
   [Vargo, Jason] Calif Dept Publ Hlth, Sacramento, CA USA.
   [Stone Jr, Brian] Georgia Inst Technol, City & Reg Planning, 245 4th St,NW, Atlanta, GA 30332 USA.
C3 University System of Georgia; Georgia Institute of Technology;
   University of Texas System; University of Texas Austin; California
   Department of Public Health; University System of Georgia; Georgia
   Institute of Technology
RP Stone, B Jr (corresponding author), Georgia Inst Technol, City & Reg Planning, 245 4th St,NW, Atlanta, GA 30332 USA.
EM stone@gatech.edu
RI Lanza, Kevin/ABD-8011-2020
OI Lanza, Kevin/0000-0002-5259-6745
CR [Anonymous], DAYMET DAILY SURFACE
   [Anonymous], 2006, 86 AMS ANN M
   [Anonymous], LANCET, DOI DOI 10.1016/S0140-6736(07)60032-4
   [Anonymous], 2018, NY TIMES
   [Anonymous], URB HEAT ISL SENS
   [Anonymous], GREEN AR RAT
   [Anonymous], 2007, EU COMMUNITY ACTION
   [Anonymous], 2016, The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment
   [Anonymous], CITY COMING CLIMATE
   [Anonymous], 2015, ANN EN OUTL 2015 PRO
   [Anonymous], 2014, Fifth assessment report
   Bobb JF, 2014, ENVIRON HEALTH PERSP, V122, P811, DOI 10.1289/ehp.1307392
   Bouchama A, 2002, NEW ENGL J MED, V346, P1978, DOI 10.1056/NEJMra011089
   Boumans RJM, 2014, URBAN CLIM, V8, P78, DOI 10.1016/j.uclim.2014.03.001
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Chen D, 2014, ENVIRON POLLUT, V192, P275, DOI 10.1016/j.envpol.2014.05.002
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Du XY, 2017, PROCEDIA ENGINEER, V205, P1785, DOI 10.1016/j.proeng.2017.10.037
   Fan HL, 2005, ATMOS ENVIRON, V39, P73, DOI 10.1016/j.atmosenv.2004.09.031
   Gober P, 2010, J AM PLANN ASSOC, V76, P109, DOI 10.1080/01944360903433113
   Harlan SL, 2013, ENVIRON HEALTH PERSP, V121, P197, DOI 10.1289/ehp.1104625
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   Ho HC, 2016, SCI TOTAL ENVIRON, V544, P929, DOI 10.1016/j.scitotenv.2015.12.021
   Jacobson MZ, 2012, J CLIMATE, V25, P1028, DOI 10.1175/JCLI-D-11-00032.1
   Jenerette GD, 2007, LANDSCAPE ECOL, V22, P353, DOI 10.1007/s10980-006-9032-z
   Jung SJ, 2011, J ASIAN ARCHIT BUILD, V10, P227, DOI 10.3130/jaabe.10.227
   Kalkstein LS, 2011, NAT HAZARDS, V56, P113, DOI 10.1007/s11069-010-9552-3
   Kloog I, 2012, SCI TOTAL ENVIRON, V432, P85, DOI 10.1016/j.scitotenv.2012.05.095
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Liu L, 2011, REMOTE SENS-BASEL, V3, P1535, DOI 10.3390/rs3071535
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Middel A, 2015, URBAN FOR URBAN GREE, V14, P178, DOI 10.1016/j.ufug.2014.09.010
   Phelan PE, 2015, ANNU REV ENV RESOUR, V40, P285, DOI 10.1146/annurev-environ-102014-021155
   Rosenzweig C, 2015, ANN NY ACAD SCI, V1336, P1, DOI 10.1111/nyas.12626
   Salamanca F, 2014, J GEOPHYS RES-ATMOS, V119, P5949, DOI 10.1002/2013JD021225
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Shashua-Bar L, 2009, LANDSCAPE URBAN PLAN, V92, P179, DOI 10.1016/j.landurbplan.2009.04.005
   Steenland K, 2006, EPIDEMIOLOGY, V17, P512, DOI 10.1097/01.ede.0000229155.05644.43
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Stone B, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100852
   Stone B, 2013, ENVIRON SCI TECHNOL, V47, P7780, DOI 10.1021/es304352e
   Voorhees AS, 2011, ENVIRON SCI TECHNOL, V45, P1450, DOI 10.1021/es102820y
   Yuan F, 2007, REMOTE SENS ENVIRON, V106, P375, DOI 10.1016/j.rse.2006.09.003
   Zhou Y, 2010, NAT HAZARDS, V52, P639, DOI 10.1007/s11069-009-9406-z
NR 46
TC 37
Z9 38
U1 8
U2 67
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0739-456X
EI 1552-6577
J9 J PLAN EDUC RES
JI J. Plan. Educ. Res.
PD JUN
PY 2023
VL 43
IS 2
BP 346
EP 358
DI 10.1177/0739456X19879214
EA OCT 2019
PG 13
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA G6DP0
UT WOS:000490106200001
DA 2025-04-22
ER

PT J
AU Wachsmuth, D
   Angelo, H
AF Wachsmuth, David
   Angelo, Hillary
TI Green and Gray: New Ideologies of Nature in Urban Sustainability Policy
SO ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
LA English
DT Article
DE green and gray; ideology; sustainability; urban nature
ID POLITICAL ECOLOGY; SMART CITY; RESILIENCE; GOVERNANCE; CITIES;
   ADAPTATION
AB In the past two decades, urban sustainability has become a new policy common sense. This article argues that contemporary urban sustainability thought and practice is coconstituted by two distinct representational forms, which we call green urban nature and gray urban nature. Green urban nature is the return of nature to the city in its most verdant form, signified by street trees, urban gardens, and the greening of postindustrial landscapes. Gray urban nature is the concept of social, technological, urban space as already inherently sustainable, signified by dense urban cores, high-speed public transit, and energy-efficient buildings. We develop Lefebvre's ideas of the realistic and transparent illusions as the constitutive ideologies of the social production of space to offer a framework for interpreting contemporary urban sustainability thinking in these terms and concretize this argument through case studies of postindustrial greening in the Ruhr Valley, Germany; municipal sustainability planning in Vancouver, Canada; and the Masdar smart city project in Abu Dhabi. We conclude by examining the implications of green and gray urban natures for the politics of urban sustainability.
C1 [Wachsmuth, David] McGill Univ, Sch Urban Planning, Montreal, PQ H3A 0C2, Canada.
   [Angelo, Hillary] Univ Calif Santa Cruz, Dept Sociol, Santa Cruz, CA 95064 USA.
C3 McGill University; University of California System; University of
   California Santa Cruz
RP Wachsmuth, D (corresponding author), McGill Univ, Sch Urban Planning, Montreal, PQ H3A 0C2, Canada.
EM david.wachsmuth@mcgill.ca; hangelo@ucsc.edu
OI Wachsmuth, David/0000-0001-5689-9527; Angelo,
   Hillary/0000-0003-3921-9002
FU Social Sciences and Humanities Research Council of Canada
   [430-2016-00629]; Horowitz Foundation for Social Policy; Fonds de
   Recherche du Quebec-Societe et Culture [2017-NP-197580]; American
   Sociological Association Fund for the Advancement of the Discipline;
   American Council of Learned Societies (Dissertation Completion
   Fellowship); McGill University
FX The authors are grateful for financial support from the Social Sciences
   and Humanities Research Council of Canada (430-2016-00629), the Horowitz
   Foundation for Social Policy, Fonds de Recherche du Quebec-Societe et
   Culture (2017-NP-197580), the American Sociological Association Fund for
   the Advancement of the Discipline, the American Council of Learned
   Societies (Dissertation Completion Fellowship), and McGill University
   (SSH Emerging Scholar Accelerator).
CR Agyeman J., 2005, SUSTAINABLE COMMUNIT
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ala-Mantila S, 2014, ECOL ECON, V104, P129, DOI 10.1016/j.ecolecon.2014.04.019
   Alkins P.S., 1992, NATL CIVIC REV, V18, P466
   Angelo H, 2017, URBAN STUD, V54, P158, DOI 10.1177/0042098016629312
   Angelo H, 2015, INT J URBAN REGIONAL, V39, P16, DOI 10.1111/1468-2427.12105
   Angelo Hillary., 2015, How Green Became Good: Urban Greening as Social Improvement in Germany's Ruhr Valley
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2015, SUST REP 2015
   [Anonymous], 2006, ENVIRON SCI-TOKYO, DOI [10.1080/15693430600688831, DOI 10.1080/15693430600688831]
   [Anonymous], 2015, Guardian
   [Anonymous], 2015, REGIONS MAGAZINE
   [Anonymous], 2015, CITY
   [Anonymous], 1970, GERMAN IDEOLOGY
   [Anonymous], 1961, DER SPIEGEL, V33, P22
   [Anonymous], 2014, WILDERNESS AM MIND
   [Anonymous], 2010, Uneven Development
   [Anonymous], 2011, Al Jazeera
   Arbodela M., 2016, INT J URBAN REGIONAL, V40, P96, DOI DOI 10.1111/1468-2427.12290
   Barber BenjaminR., 2013, MAYORS RULED WORLD D
   Braun Bruce., 2005, Remaking reality: nature at the millenium
   Brown T, 2016, ANTIPODE, V48, P115, DOI 10.1111/anti.12164
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696
   Caprotti F, 2014, ANTIPODE, V46, P1285, DOI 10.1111/anti.12087
   Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x
   City of Vancouver, 2015, GREEN CIT 2020 ACT P
   Cohen D.A., 2017, The city is the factory: New solidarities and spatial strategies in an urban age, P140
   Daly Herman., 1973, STEADY STATE EC
   Danish Architecture Center, 2017, EMSCH PARK DER SCEN
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Evans J, 2014, INT J URBAN REGIONAL, V38, P413, DOI 10.1111/1468-2427.12077
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Finewood MH, 2016, ANTIPODE, V48, P1000, DOI 10.1111/anti.12238
   Fitzsimmons M., 1989, Antipode, V21, P106
   Gandy M, 2003, CONCRETE AND CLAY
   Girardet Herbert., 1999, EARTHSCAN READER SUS, P413
   Glaeser E., 2009, CITY J
   Glaeser E., 2011, Triumph of the City: How Urban Spaces Make Us Human
   *GLOB COMM EC CLIM, 2015, SEIZ GLOB OPP
   Goldberg Suzanne, 2016, The Guardian
   Goonewardena K, 2005, ANTIPODE, V37, P46, DOI 10.1111/j.0066-4812.2005.00473.x
   Gould K. A., 2017, Green Gentrification: Urban Sustainability and the Struggle for Environmental Justice
   Gramsci Antonio., 1999, SELECTIONS PRISON NO, DOI 10.4324/9780429355363
   Greenberg M., 2014, NEW LAB, V23, P44, DOI DOI 10.1177/1095796013513239
   Greenberg M, 2015, NEW DIRECTION SUSTAI, P105
   Greenfield A., 2013, Against the Smart City
   Gunder M, 2006, J PLAN EDUC RES, V26, P208, DOI 10.1177/0739456X06289359
   Harvey David., 1996, JUSTICE NATURE GEOGR
   Hemmings S, 2010, GER STUD REV, V33, P243
   Herrschel T, 2013, URBAN STUD, V50, P2332, DOI 10.1177/0042098013478240
   Jenks M., 1996, The compact city: a sustainable urban form?
   Hollands R. G., 2008, City, V12, P303, DOI [https://doi.org/10.1080/13604810802479126, DOI 10.4324/9781315178387-13, 10.1080/13604810802479126, DOI 10.1080/13604810802479126]
   Hopwood D, 2010, Renew Energy Focus, V11, P18
   Huning S., 2011, EFLA REG C LANDSC AR
   Hunt M., 2015, THE NATIONAL
   Isenhour C, 2015, NEW DIRECTION SUSTAI, P1, DOI 10.1017/CBO9781139923316
   Jonas A.E., 2007, SUSTAINABLE DEV PARA, P123
   Keil R, 2003, URBAN GEOGR, V24, P723, DOI 10.2747/0272-3638.24.8.723
   Keil R., 2017, Suburban Planet: Making the Urban World from the Outside In
   LaBella JM, 2001, Crossing Boundaries in Park Management: Proceedings of the 11th Conference on Research and Resource Management in Parks and on Public Lands, P222
   Lefebvre H., 1986, SOCIOLOGY MARX
   Lefebvre Henri, 1991, The Production of Space
   Loughran K, 2016, SOCIOL THEOR, V34, P311, DOI 10.1177/0735275116679192
   LUBOW A, 2004, NY TIMES MAGAZI 0516, P47
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   MCPHEARSON T., 2014, The Rise of Resilience: Linking Resilience and Sustainability in City Planning
   Meadows D., 1972, The limits to growth
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Millington G, 2016, INT J URBAN REGIONAL, V40, P718, DOI 10.1111/1468-2427.12375
   Nader S, 2009, ENRGY PROCED, V1, P3951, DOI 10.1016/j.egypro.2009.02.199
   Neirotti P, 2014, CITIES, V38, P25, DOI 10.1016/j.cities.2013.12.010
   Owen David., 2004, NEW YORKER, V80, P111
   Owen David., 2009, GREEN METROPOLIS
   Peck J, 2005, INT J URBAN REGIONAL, V29, P740, DOI 10.1111/j.1468-2427.2005.00620.x
   Pehnt W., 1999, TOPOS, V26, P16
   Ramesh T, 2010, ENERG BUILDINGS, V42, P1592, DOI 10.1016/j.enbuild.2010.05.007
   Rice JL, 2014, GEOGR COMPASS, V8, P381, DOI 10.1111/gec3.12134
   Rosenzweig Roy., 1992, PARK PEOPLE
   Ross Andrew., 2011, Bird on Fire: Lessons from the World's Least Sustainable City
   Rossmann A., 2009, SYSTEM LANDSCHAFT, P148
   Ruth M, 2014, APPL GEOGR, V49, P18, DOI 10.1016/j.apgeog.2013.09.018
   Schmidt Alfred., 2014, CONCEPT NATURE MARX
   Selin Helaine., 2013, Nature Across Cultures: Views of Nature and the Environment in Non-Western Cultures
   Shepard W., 2015, CITYMETRIC      0811
   Soderstrom O., 2014, City, V18, P307, DOI DOI 10.1080/13604813.2014.906716
   Susca T, 2011, ENVIRON POLLUT, V159, P2119, DOI 10.1016/j.envpol.2011.03.007
   Swyngedouw E., 2006, THE NATURE OF CITIES, P21
   Swyngedouw Erik., 1996, CAPITALISM NATURE SO, V7, P65, DOI [10.1080/10455759609358679, DOI 10.1080/10455759609358679]
   The Economist Intelligence Unit, 2017, GLOB LIV REP
   Vanolo A, 2014, URBAN STUD, V51, P883, DOI 10.1177/0042098013494427
   Viitanen J, 2014, ENVIRON PLANN A, V46, P803, DOI 10.1068/a46242
   Wachsmuth D., 2018, DOING GLOBAL URBAN R
   Wachsmuth D, 2016, NATURE, V536, P391, DOI 10.1038/536391a
   Wachsmuth D, 2014, ENVIRON PLANN D, V32, P75, DOI 10.1068/d21911
   While A, 2004, INT J URBAN REGIONAL, V28, P549, DOI 10.1111/j.0309-1317.2004.00535.x
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Williams Raymond., 1973, CITY COUNTRY
   WOLMAN A, 1965, SCI AM, V213, P179
NR 101
TC 117
Z9 124
U1 7
U2 91
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2469-4452
EI 2469-4460
J9 ANN AM ASSOC GEOGR
JI Ann. Am. Assoc. Geogr.
PY 2018
VL 108
IS 4
BP 1038
EP 1056
DI 10.1080/24694452.2017.1417819
PG 19
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA GI5UZ
UT WOS:000434437400009
DA 2025-04-22
ER

PT J
AU Aydin, NY
   Duzgun, HS
   Wenzel, F
   Heinimann, HR
AF Aydin, Nazli Yonca
   Duzgun, H. Sebnem
   Wenzel, Friedemann
   Heinimann, Hans Rudolf
TI Integration of stress testing with graph theory to assess the resilience
   of urban road networks under seismic hazards
SO NATURAL HAZARDS
LA English
DT Article
DE Disaster resilience; Earthquake; Graph theory; Resilience assessment;
   Stress testing; Transportation infrastructure; Road network; Resilience
ID KERNEL DENSITY-ESTIMATION; VULNERABILITY ANALYSIS; DAMAGE; CENTRALITY;
   FRAMEWORK; ACCURACY; DISASTER; GIS
AB Transportation networks daily provide accessibility and crucial services to societies. However, they must also maintain an acceptable level of service to critical infrastructures in the case of disruptions, especially during natural disasters. We have developed a method for assessing the resilience of transportation network topology when exposed to environmental hazards. This approach integrates graph theory with stress testing methodology and involves five basic steps: (1) establishment of a scenario set that covers a range of seismic damage potential in the network, (2) assessment of resilience using various graph-based metrics, (3) topology-based simulations, (4) evaluation of changes in graph-based metrics, and (5) examination of resilience in terms of spatial distribution of critical nodes and the entire network topology. Our case study was from the city of Kathmandu in Nepal, where the earthquake on April 25, 2015, followed by a major aftershock on May 12, 2015, led to numerous casualties and caused significant damage. Therefore, it is a good example for demonstrating and validating the developed methodology. The results presented here indicate that the proposed approach is quite efficient and accurate in assisting stakeholders when evaluating the resilience of transportation networks based on their topology.
C1 [Aydin, Nazli Yonca; Heinimann, Hans Rudolf] Swiss Fed Inst Technol, Future Resilient Syst, Singapore ETH Ctr, 1 CREATE Way,CREATE Tower, Singapore 138602, Singapore.
   [Duzgun, H. Sebnem] Colorado Sch Mines, Dept Min Engn, 1500 Illinois Str, Golden, CO 80401 USA.
   [Wenzel, Friedemann] Karlsruhe Inst Technol, Geophys Inst, Hertzstr 16, D-76187 Karlsruhe, Germany.
C3 Colorado School of Mines; Helmholtz Association; Karlsruhe Institute of
   Technology
RP Aydin, NY (corresponding author), Swiss Fed Inst Technol, Future Resilient Syst, Singapore ETH Ctr, 1 CREATE Way,CREATE Tower, Singapore 138602, Singapore.
EM nazli.aydin@frs.ethz.ch; duzgun@mines.edu; friedemann.wenzel@kit.edu;
   hans.heinimann@env.ethz.ch
RI AYDIN, NAZLI YONCA/M-4991-2018
OI AYDIN, NAZLI YONCA/0000-0002-9628-8998
FU National Research Foundation of Singapore (NRF) under its Campus for
   Research Excellence and Technological Enterprise (CREATE) program [FI
   370074011]; Alexander von Humboldt Foundation Georg Forster Experienced
   Researcher Fellowship Grant
FX This work was funded by a grant to N.Y.A. and H.R.H. from the National
   Research Foundation of Singapore (NRF) under its Campus for Research
   Excellence and Technological Enterprise (CREATE) program (FI 370074011)
   for the Future Resilient Systems project at the Singapore-ETH Centre
   (SEC) and by an Alexander von Humboldt Foundation Georg Forster
   Experienced Researcher Fellowship Grant to H.S.D., hosted by F.W.
CR Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   [Anonymous], 2015, A/CONF.224/CRP.1
   [Anonymous], 2009, Stress Testing Guideline
   [Anonymous], SYSTEMS SAFETY 2009
   Avdeeva Y, 2014, INFRARISK DELIVERABL
   Bíl M, 2015, TRANSPORT RES A-POL, V80, P90, DOI 10.1016/j.tra.2015.07.006
   Bono F, 2011, J TRANSP GEOGR, V19, P1443, DOI 10.1016/j.jtrangeo.2011.08.002
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Çetinkaya EK, 2015, TELECOMMUN SYST, V60, P515, DOI 10.1007/s11235-015-9991-y
   Çetinkaya EK, 2013, TELECOMMUN SYST, V52, P751, DOI 10.1007/s11235-011-9575-4
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Clarke J, 2016, P 6 TRANSP RES C MOV
   COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104
   CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016/0034-4257(91)90048-B
   Cumming GS, 2011, SPATIAL RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS, P121, DOI 10.1007/978-94-007-0307-0_6
   Dijkstra E., 1959, NUMER MATH, V1, P269, DOI [10.1007/BF01386390, DOI 10.1007/BF01386390]
   Dorbritz R, 2011, ENVIRONMENTAL ENGINEERING, VOLS 1-3, P1070
   Ellens W., 2013, Graph measures and network robustness
   ESRI, 2017, CLASS METH
   Eusgeld I, 2009, RELIAB ENG SYST SAFE, V94, P954, DOI 10.1016/j.ress.2008.10.011
   FREEMAN LC, 1979, SOC NETWORKS, V1, P215, DOI 10.1016/0378-8733(78)90021-7
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   Freiria S, 2015, J TRANSP GEOGR, V46, P55, DOI 10.1016/j.jtrangeo.2015.05.002
   Garousi V, 2010, IEEE T SOFTWARE ENG, V36, P778, DOI 10.1109/TSE.2010.5
   Garschagen M, 2013, NAT HAZARDS, V67, P25, DOI 10.1007/s11069-011-9753-4
   Gastner MT, 2006, EUR PHYS J B, V49, P247, DOI 10.1140/epjb/e2006-00046-8
   Grubesic TH, 2008, INT REGIONAL SCI REV, V31, P88, DOI 10.1177/0160017607308679
   Homeland Security Studies & Analysis Institute, 2009, CONC DEV OP FRAM RES
   Huges JF, 2014, MEASURING RESILIENCE
   Hutter G, 2013, NAT HAZARDS, V67, P1, DOI 10.1007/s11069-011-9901-x
   igraph, 2017, NETW AN PACK
   Immers B., 2004, NECTAR CLUST M REL N
   JANSSEN LLF, 1994, PHOTOGRAMM ENG REM S, V60, P419
   Jenelius E, 2015, COMPUT ENVIRON URBAN, V49, P136, DOI 10.1016/j.compenvurbsys.2014.02.003
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Lama PD, 2017, INT J DISAST RISK RE, V23, P193, DOI 10.1016/j.ijdrr.2017.04.010
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Latora V, 2005, PHYS REV E, V71, DOI 10.1103/PhysRevE.71.015103
   Lu ZY, 2014, LANDSCAPE URBAN PLAN, V130, P134, DOI 10.1016/j.landurbplan.2014.07.005
   Meier JD, 2007, STRESS TESTING WEB A
   Mishra A, 2017, INT J DISAST RISK RE, V22, P167, DOI 10.1016/j.ijdrr.2017.03.008
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Newman M, 2018, NETWORKS INTRO, DOI [10.1093/acprof:oso/9780199206650.001.0001, 10.1162/artlr00062, DOI 10.1093/ACPROF:OSO/9780199206650.001.0001]
   Newman MEJ, 2004, PHYS REV E, V69, DOI 10.1103/PhysRevE.69.026113
   Okabe A, 2006, GEOGR ANAL, V38, P57, DOI 10.1111/j.0016-7363.2005.00674.x
   Okabe A, 2001, GEOGR ANAL, V33, P271, DOI 10.1111/j.1538-4632.2001.tb00448.x
   Okabe A, 2009, INT J GEOGR INF SCI, V23, P7, DOI 10.1080/13658810802475491
   Onder S, 2016, PROC ECON FINANC, V38, P17, DOI 10.1016/S2212-5671(16)30173-3
   Park Jeryang, 2011, Integrated Environmental Assessment and Management, V7, P396, DOI 10.1002/ieam.228
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   Pitilakis K, 2016, TRANSP RES PROC, V14, P1335, DOI 10.1016/j.trpro.2016.05.206
   Porta S, 2006, ENVIRON PLANN B, V33, P705, DOI 10.1068/b32045
   Schintler L.A., 2007, CRITICAL INFRASTRUCT, P291
   Schintler LA, 2007, NETW SPAT ECON, V7, P301, DOI 10.1007/s11067-007-9029-4
   Shakya M, 2016, ENG FAIL ANAL, V59, P161, DOI 10.1016/j.engfailanal.2015.10.003
   Sinha P, 2014, ECOL INFORM, V19, P16, DOI 10.1016/j.ecoinf.2013.10.003
   Strano E, 2012, SCI REP-UK, V2, DOI 10.1038/srep00296
   STREST, 2017, HARM APPR STRESS TES
   United Nations Office for Disaster Risk Reduction, 2007, TERMINOLOGY
   Vragovic I, 2005, PHYS REV E, V71, DOI 10.1103/PhysRevE.71.036122
   Worldbank, 2013, MAN NEP URB TRANS
   Xia ZX, 2008, COMPUT ENVIRON URBAN, V32, P396, DOI 10.1016/j.compenvurbsys.2008.05.001
   Xue F, 2007, P NUCL POW PLANT LIF, V48
   Yang YH, 2015, SAFETY SCI, V79, P149, DOI 10.1016/j.ssci.2015.06.006
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
NR 67
TC 86
Z9 101
U1 25
U2 228
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD MAR
PY 2018
VL 91
IS 1
BP 37
EP 68
DI 10.1007/s11069-017-3112-z
PG 32
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA FV6GU
UT WOS:000424680300003
DA 2025-04-22
ER

PT J
AU Eadie, P
   Su, Y
AF Eadie, Pauline
   Su, Yvonne
TI Post-disaster social capital: trust, equity, bayanihan and
   Typhoon Yolanda
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article
DE Social capital; Trust; Philippines; Community disaster resilience;
   Typhoon disaster; Resilience and recovery
ID RESILIENCE
AB Purpose The purpose of this paper is to explore the impact of disaster rehabilitation interventions on bonding social capital in the aftermath of Typhoon Yolanda.
   Design/methodology/approach The data from the project are drawn from eight barangays in Tacloban City, the Philippines. Local residents and politicians were surveyed and interviewed to examine perceptions of resilience and community self-help.
   Findings The evidence shows that haphazard or inequitable distribution of relief goods and services generated discontent within communities. However, whilst perceptions of community cooperation and self-help are relatively low, perceptions of resilience are relatively high.
   Research limitations/implications This research was conducted in urban communities after a sudden large-scale disaster. The findings are not necessarily applicable in the rural context or in relation to slow onset disasters.
   Practical implications Relief agencies should think more carefully about the social impact of the distribution of relief goods and services. Inequality can undermine community level cooperation.
   Social implications A better consideration of social as well as material capital in the aftermath of disaster could help community self-help, resilience and positive adaptation.
   Originality/value This study draws on evidence from local communities to contradict the overarching rhetoric of resilience in the aftermath of Typhoon Yolanda.
C1 [Eadie, Pauline] Univ Nottingham, Sch Polit & Int Relat, Nottingham, England.
   [Su, Yvonne] Univ Guelph, Coll Social & Appl Human Sci, Guelph, ON, Canada.
C3 University of Nottingham; University of Guelph
RP Eadie, P (corresponding author), Univ Nottingham, Sch Polit & Int Relat, Nottingham, England.
EM Pauline.Eadie@hotmail.com
OI Eadie, Pauline/0000-0002-7866-2720; Su, Yvonne/0000-0003-2221-538X
CR Abad Ricardo, 2005, Philippine Sociological Review
   Abenoja N., 2014, YOLANDAPH SPIRIT BAY
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alcayna T, 2016, PLOS CURRENT DISASTE, V8, P1
   Aldrich D.P., 2012, Building Resilience: Social Capital in Post-Disaster Recovery, P1, DOI DOI 10.7208/CHICAGO/9780226012896.001.0001
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   All Hands Volunteers, 2018, LEYT TYPH REC
   [Anonymous], 2013, GMA NEWS ONLINE
   [Anonymous], DEVASTATING STORM SU
   Bahin L., 2015, COMMUNICATION
   Bankoff G, 2007, CONTINUITY CHANGE, V22, P327, DOI 10.1017/S0268416007006315
   Bankoff Greg., 2003, Cultures of Disaster: Society and Natural Hazard in the Philippines
   Beza B., 2018, Community Engagement in Post-Disaster Recovery, P131
   Bolisay R., 2013, BECAUSE YOU TACLOBAN
   Brisson DS, 2005, FAM RELAT, V54, P644, DOI 10.1111/j.1741-3729.2005.00348.x
   CARROLL JJ, 1968, CHANGING PATTERNS SO
   Castaneda D., 2015, ONE YEAR YOLANDA LEY
   Cleaver F, 2005, WORLD DEV, V33, P893, DOI 10.1016/j.worlddev.2004.09.015
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cox StanPaul Cox., 2016, How the World Breaks: Life in Catastrophe's Path, from the Caribbean to Siberia
   Dalisay SN, 2016, DISASTER PREV MANAG, V25, P701, DOI 10.1108/DPM-05-2016-0097
   de Goyet CD, 2008, DATA AGAINST NATURAL DISASTERS: ESTABLISHING EFFECTIVE SYSTEMS FOR RELIEF, RECOVERY, AND RECONSTRUCTION, P23
   Dela Paz C., 2017, WEALTH 50 FILIPINOS
   Fafchamps M, 2006, J DEV STUD, V42, P1180, DOI 10.1080/00220380600884126
   Gawad Kalinga, 2013, BREAK BARR BAYAN TYP
   Lin Nan., 2002, Social capital
   Luchi K., 2017, COMING HOME DISASTER, P209
   Mei M., 2016, NATURE GEOSCIENCE, V9, P753
   Montalban E., 2017, COMMUNICATION
   Morais RobertJ., 1981, Philippine Studies, V29, P66
   National Disaster Risk Reduction and Management Council (NDRRMC) Republic of the Philippines, 2014, SITREP 108 EFF TYPH
   Obama Barack., 2013, Remarks by the president at the National Defense University
   Ong J., 2015, Obligated to be grateful: How local communities experienced humanitarian actors in the Haiyan response
   Ong JM, 2016, COAST ENG J, V58, DOI 10.1142/S0578563416400106
   Pal A.P., 1966, PHILIPPINE SOCIO REV, V14, P31
   Pan JY, 2007, PSYCHOLOGIA, V50, P164, DOI 10.2117/psysoc.2007.164
   Peduzzi P., 2012, NATURE CLIMATE CHANG, V2
   Philippines Statistics Authority, 2016, 2016 REG SOC EC TREN
   Porio E., 2017, The Senshu Social Well-Being Review, V4, P96
   Putnam R., 1999, BOWLING ALONE
   Putnam R.D., 1993, Making democracy work: Civic traditions in modern Italy
   Quismundo T., 2013, BAYANIHAN IMPRESSES
   Reininger BM, 2013, SOC SCI MED, V83, P50, DOI 10.1016/j.socscimed.2013.01.037
   Roca H., 2017, MAYOR ROMUALDEZ WORK
   Rossing T, 2010, DIR DEV, P267
   Rothstein B, 2005, WORLD POLIT, V58, P41, DOI 10.1353/wp.2006.0022
   Ruterto C., 2015, COMMUNICATION
   Schuller T., 2000, Social Capital: Critical Perspectives
   Sztompka P., 1999, Trust: A sociological theory
   Tan K., 2013, PNOY CALLS BAYANIHAN
   Tiedemann Rolf., 2003, Can One Live after Auschwitz? A Philosophical Reader, pxi
   Villanueva III C, 2015, COMMUNICATION
   Viray P., 2014, ROVING ROUND BAYANIH
   Wilkinson O, 2015, Faith and Resilience after Disaster: The Case of Typhoon Haiyan. Report Commissioned
   Woolcock M, 2000, WORLD BANK RES OBSER, V15, P225, DOI 10.1093/wbro/15.2.225
NR 55
TC 38
Z9 42
U1 2
U2 41
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 0965-3562
EI 1758-6100
J9 DISASTER PREV MANAG
JI Disaster Prev. Manag.
PY 2018
VL 27
IS 3
BP 334
EP 345
DI 10.1108/DPM-02-2018-0060
PG 12
WC Environmental Studies; Public, Environmental & Occupational Health;
   Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Business & Economics
GA GI3UI
UT WOS:000434296600005
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Dulal, HB
AF Dulal, Hari Bansha
TI Making cities resilient to climate change: identifying "win-win"
   interventions
SO LOCAL ENVIRONMENT
LA English
DT Article
DE Cities; urbanisation; climate change mitigation; climate change
   adaptation; developing countries
ID CHANGE ADAPTATION; GLOBAL CITIES; EMISSIONS; VULNERABILITY; POLLUTION;
   DEMAND; EVENTS; POOR; NEED
AB Urbanisation is truly a global phenomenon. Starting at 39% in 1980, the urbanisation level rose to 52% in 2011. Ongoing rapid urbanisation has led to increase in urban greenhouse gas (GHG) emissions. Urban climate change risks have also increased with increase in climate-induced extreme weather events and more low-income urban dwellers living in climate sensitive locations. Despite increased emissions, including GHGs and heightened climate change vulnerability, climate mitigation and adaptation actions are rare in the cities of developing countries. Cities are overwhelmed with worsening congestion, air pollution, crime, waste management, and unemployment problems. Lack of resources and capacity constraints are other factors that discourage cities from embarking on climate change mitigation and adaptation pathways. Given the multitude of problems faced, there is simply no appetite for stand-alone urban climate change mitigation and adaptation policies and programmes. Urban mitigation and adaptation goals will have to be achieved as co-benefits of interventions targeted at solving pressing urban problems and challenges. The paper identifies administratively simple urban interventions that can help cities solve some of their pressing service delivery and urban environmental problems, while simultaneously mitigating rising urban GHG emissions and vulnerability to climate change.
C1 [Dulal, Hari Bansha] ABT Associates Inc, Bethesda, MD 20814 USA.
C3 ABT Associates
RP Dulal, HB (corresponding author), ABT Associates Inc, Bethesda, MD 20814 USA.
EM hbdulal@gmail.com
CR Adger N., 2002, 9802 CSERGE, P98
   Adger W. N., 2003, UNDP Adaptation Policy Framework Technical Paper 7
   Aloysius B., 2012, J SUSTAINABLE DEV, V5, P69, DOI [DOI 10.5539/JSD.V5N7P69, 10.5539/jsd.v5n7p69]
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   Angel S., 2005, The dynamics of global urban expansion
   [Anonymous], 2008, WORLD EN OUTL 2008
   [Anonymous], Green Economy
   [Anonymous], 2010, STAT WORLDS CIT 2010
   [Anonymous], POV CLIM CHANG RED V
   [Anonymous], SOC DIM CLIM CHANG W
   [Anonymous], 2007, AR4 CLIMATE CHANGE 2
   de Oliveira JAP, 2009, HABITAT INT, V33, P253, DOI 10.1016/j.habitatint.2008.10.006
   Awuor CB, 2008, ENVIRON URBAN, V20, P231, DOI 10.1177/0956247808089158
   BARTONE C, 2000, WORKSH PLANN SUST IN
   Bhattacharyay BN, 2012, INFRASTRUCTURE FOR ASIAN CONNECTIVITY, P1, DOI 10.4337/9781781003138
   Boriboonsomsin K., 2015, TRANSPORT RES REC, P1
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bull-Kamanga L, 2003, ENVIRON URBAN, V15, P193, DOI 10.1177/095624780301500109
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chen M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0093130
   Cointreau S., 2008, METHANE 2 MARKETS FU
   Colombo AF, 1999, J CLIMATE, V12, P2490, DOI 10.1175/1520-0442(1999)012<2490:CVATFO>2.0.CO;2
   CONCAWE, 2006, MOT VEH EM REG FU 2
   Creutzig F, 2009, TRANSPORT RES D-TR E, V14, P120, DOI 10.1016/j.trd.2008.11.007
   Cruce T., 2011, Adapting to climate change: A planning guide for state coastal managers-a Great Lakes supplement
   Dasgupta M., 1994, IMPACT TRANSPORT POL
   Davoudi S., 2010, PLANNING CLIMATE CHA
   de Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   DECICCO JM, 1995, TRANSPORT RES A-POL, V29, P205, DOI 10.1016/0965-8564(94)00025-6
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Dulal HB, 2010, LOCAL ENVIRON, V15, P621, DOI 10.1080/13549839.2010.498814
   Dulal HB, 2013, HABITAT INT, V38, P100, DOI 10.1016/j.habitatint.2012.05.001
   Eliasson J, 2009, TRANSPORT RES A-POL, V43, P240, DOI 10.1016/j.tra.2008.09.007
   ELTONY MN, 1993, J TRANSP ECON POLICY, V27, P193
   Emerton L., 2009, EC VALUE UPPER TULL
   eThekwini Municipality, 2004, MAK CIT STRAT COM AL
   Federation of Indian Chambers of Commerce and Industry (FICCI), 2007, HUG SCOP PRIV SOL WA
   Gibson M, 2015, J URBAN ECON, V89, P62, DOI 10.1016/j.jue.2015.06.005
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Gomi K, 2010, ENERG POLICY, V38, P4783, DOI 10.1016/j.enpol.2009.07.026
   Granberg M, 2007, LOCAL ENVIRON, V12, P537, DOI 10.1080/13549830701656911
   Gurjar BR, 2008, ATMOS ENVIRON, V42, P1593, DOI 10.1016/j.atmosenv.2007.10.048
   Guttikunda S., 2010, SIMPL INT MOD BETT A, V13, P1
   Hallegatte S., 2008, OECD Environment Working Papers, V4
   Hoornweg D, 2011, URB DEV SER, P1, DOI 10.1596/978-0-8213-8493-0
   ICF, 2012, CLIM CHANG AD PLANN
   International Federation of Red Cross and Red Crescent Societies (IFRC), 2010, WORLD DISA REP 2010
   Jabareen Y, 2015, GEOFORUM, V63, P40, DOI 10.1016/j.geoforum.2015.05.017
   Jacobson MZ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL031101
   Kebede AS, 2012, REG ENVIRON CHANGE, V12, P81, DOI 10.1007/s10113-011-0239-4
   Kirshen Paul., 2004, CLIMATES LONG TERM I
   Lasco R., 2004, INTEGRATING CARBON M
   LCCP, 2002, LOND WARM LOND CLIM
   Lee MyungKyoon, 2003, TRANSMILENIO BUS RAP
   Lehmann P, 2015, MITIG ADAPT STRAT GL, V20, P75, DOI 10.1007/s11027-013-9480-0
   Lizarralde G, 2015, DISASTERS, V39, pS76, DOI 10.1111/disa.12109
   Lyons TJ, 2003, TRANSPORT RES D-TR E, V8, P159, DOI 10.1016/S1361-9209(02)00047-0
   Maimaitiyiming M, 2014, ISPRS J PHOTOGRAMM, V89, P59, DOI 10.1016/j.isprsjprs.2013.12.010
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Medina M., 2009, COMPOSTING RECYCLING
   Mees HLP, 2012, J ENVIRON POL PLAN, V14, P305, DOI 10.1080/1523908X.2012.707407
   Minato K., 2003, 43 C EUR REG SCI ASS
   Moser S.C., 2012, Identifying and Overcoming Barriers to Climate Change Adaptation in San Francisco Bay: Results from Case Studies
   Nishat N., 2000, ASSESSMENT ENV IMPAC
   *NRDC, 2003, ENV CHAR SMART GROWT
   Ou XM, 2010, ENERG POLICY, V38, P3943, DOI 10.1016/j.enpol.2010.03.018
   Parry I. W. H., 2009, 5071 WORLD BANK POLI
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Patankar AM, 2011, PUBLIC HEALTH, V125, P157, DOI 10.1016/j.puhe.2010.11.009
   Prud'homme R, 2005, TRANSPORT POLICY, V12, P279, DOI 10.1016/j.tranpol.2005.03.001
   Pucher J, 2005, TRANSP POLICY, V12, P185, DOI 10.1016/j.tranpol.2005.02.008
   Ray A., 2008, The Journal of Environment Development, V17, P3, DOI DOI 10.1177/1070496507310742
   Rodriguez C. M., 2004, JORN LBER HAB VULN D
   Rosenfield A., 2015, 14 INT C TRAV BEH RE
   Rotaris L, 2010, TRANSPORT RES A-POL, V44, P359, DOI 10.1016/j.tra.2010.03.008
   Satterthwaite D., 2007, ADAPTING CLIMATE CHA
   Sharma D, 2010, ENVIRON URBAN, V22, P451, DOI 10.1177/0956247810377390
   Singh A, 2008, SCI TOTAL ENVIRON, V390, P124, DOI 10.1016/j.scitotenv.2007.09.027
   Smucker TA, 2015, GEOFORUM, V59, P39, DOI 10.1016/j.geoforum.2014.11.018
   Stone B, 2010, ENVIRON HEALTH PERSP, V118, P1425, DOI 10.1289/ehp.0901879
   Swiss Federal Institute of Aquatic Science and Technology (SFIAST), 2008, GLOB WAST CHALL SIT
   Tata Energy Research Institute (TERI), 1996, EC IMP ONE MET UNPUB
   Thomas-Hope E., 1998, SOLID WASTE MANAGEME
   Town of Brattleboro, 2014, 2014 ANN REP
   Town of Brattleboro Vermont, 2003, INT COUNC LOC ENV IN
   Transport for London, 2007, CONG CHARG CENTR LON
   United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), 2007, SUST INFR AS OV P
   United Nations Human Settlements Programme (UN-HABITAT), 2010, CLIM CHANG ASS KAMP
   United States Agency for International Development (USAID), 2004, VEH INSP MAINT PROGR
   Vergara W., 2007, 29 SUST DEV WORLD BA
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   Willoughby C, 2000, TWU43 WORLD BANK
   Wilson E., 2010, SPATIAL PLANNING CLI, DOI DOI 10.4324/9780203846537
   World Bank, 2011, WORLD DEVELOPMENT REPORT 2011: CONFLICT, SECURITY AND DEVELOPMENT, P1, DOI 10.1596/978-0-8213-8439-8
   Zhang DQ, 2010, J ENVIRON MANAGE, V91, P1623, DOI 10.1016/j.jenvman.2010.03.012
NR 95
TC 36
Z9 42
U1 3
U2 80
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PY 2017
VL 22
IS 1
BP 106
EP 125
DI 10.1080/13549839.2016.1168790
PG 20
WC Green & Sustainable Science & Technology; Environmental Studies;
   Geography; Regional & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Geography; Public Administration; Urban Studies
GA EO3TN
UT WOS:000396617300007
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Yang, L
   Xu, Y
   Zhu, JQ
   Sun, KY
AF Yang, Li
   Xu, Yue
   Zhu, Junqi
   Sun, Keyu
TI Spatiotemporal Evolution and Influencing Factors of the Coupling
   Coordination of Urban Ecological Resilience and New Quality Productivity
   at the Provincial Scale in China
SO LAND
LA English
DT Article
DE urban ecological resilience; new quality productivity; coupling
   coordination; geographical and temporal weighted regression
ID GREEN PRODUCTIVITY; INNOVATION; TRANSFORMATION; IMPACT; WORLD
AB Enhancing urban ecological resilience (UER) is important in promoting sustainable urban development, and developing new quality productivity (NQP) is an intrinsic requirement to promote industrial change and high-quality development. The coordinated development of UER and NQP can help realize the green transformation and upgrading of various industries. This study considered 30 provinces in China as research objects, quantified their UER from nature, economy, and society, and explored the essential connotation of NQP under the guidance of Marx's productivity theory. The entropy weight-CRITIC method and TOPSIS model were used to comprehensively measure the development levels of the UER and NQP from 2011 to 2022, and their coupling coordination degree (CCD) of UER and NQP was measured by combining the coupling coordination degree model. Consequently, the Global Moran's I index and Geographical and Temporal Weighted Regression (GTWR) model were used to explore the effects of different influencing factors on the CCD from the spatiotemporal variability perspective. The results indicated the following: (1) UER and NQP improved during the study period but with large differences between the regions. (2) The overall CCD evolved from a mild imbalance to primary coordination. The average CCD values ranged from low to high in the northeastern, western, central, and eastern regions. (3) The GTWR results showed that the levels of economic development, urbanization rate, and technological innovation contributed positively to the CCD, with the urbanization rate having the strongest positive effect. Foreign investment, environmental regulations, and industrial structure generally negatively inhibit the CCD.
C1 [Yang, Li; Xu, Yue; Zhu, Junqi] Anhui Univ Sci & Technol, Sch Econ & Management, Huainan 232001, Peoples R China.
   [Sun, Keyu] South China Univ Technol, Sch Law, Guangzhou 510006, Peoples R China.
C3 Anhui University of Science & Technology; South China University of
   Technology
RP Xu, Y (corresponding author), Anhui Univ Sci & Technol, Sch Econ & Management, Huainan 232001, Peoples R China.
EM 2022100090@aust.edu.cn; jqzhu@aust.edu.cn; 202230081013@scut.edu.cn
FU National Natural Science Foundation of China; National Social Science
   Foundation [22ZDA112];  [71971003]
FX This work was supported by the National Natural Science Foundation of
   China (71971003) and National Social Science Foundation (22ZDA112).
CR Ahmad M, 2024, INT J FINANC ECON, V29, P3203, DOI 10.1002/ijfe.2825
   Allen CR, 2010, ECOL SOC, V15
   Ariken M, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107014
   Asara V, 2015, SUSTAIN SCI, V10, P375, DOI 10.1007/s11625-015-0321-9
   Baharin R, 2020, IRAN J MANAG STUD, V13, P139, DOI 10.22059/ijms.2019.280284.673616
   Cai WG, 2018, J CLEAN PROD, V176, P110, DOI 10.1016/j.jclepro.2017.12.109
   Chen HX, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11747-z
   Chen J, 2017, ECON SYST, V41, P165, DOI 10.1016/j.ecosys.2016.07.002
   Chen WM, 2019, SCI TOTAL ENVIRON, V683, P380, DOI 10.1016/j.scitotenv.2019.05.232
   Colding J., 2021, Promoting Partnership between Urban Design and Urban Ecology Through Social-Ecological Resilience Building
   Deng HY, 2022, J CLEAN PROD, V378, DOI 10.1016/j.jclepro.2022.134539
   Du KR, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105247
   Du KR, 2019, ENERG POLICY, V131, P240, DOI 10.1016/j.enpol.2019.04.033
   Duan DY, 2023, STRUCT CHANGE ECON D, V67, P388, DOI 10.1016/j.strueco.2023.08.002
   Fagerberg J, 2018, Innovation, Economic Development and Policy, P214
   Feng XH, 2022, LAND-BASEL, V11, DOI 10.3390/land11060898
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Fotheringham AS, 2015, GEOGR ANAL, V47, P431, DOI 10.1111/gean.12071
   Fu SK, 2023, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-023-29451-3
   Gai M, 2020, COMPLEXITY, V2020, DOI 10.1155/2020/8829144
   Guo YH, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120584
   Han DR, 2022, ENVIRON SCI POLLUT R, V29, P55691, DOI 10.1007/s11356-022-19721-x
   Hao XL, 2023, SUSTAIN DEV, V31, P360, DOI 10.1002/sd.2397
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu BB, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0234856
   Huang B, 2010, INT J GEOGR INF SCI, V24, P383, DOI 10.1080/13658810802672469
   Jie Y, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112315
   Jin Y, 2024, SUSTAIN CITIES SOC, V108, DOI 10.1016/j.scs.2024.105431
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Karimian H, 2022, CHEMOSPHERE, V307, DOI 10.1016/j.chemosphere.2022.135835
   Kong DD, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151713170
   Li C, 2024, LAND-BASEL, V13, DOI 10.3390/land13101588
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li JR, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16114843
   Li K, 2017, APPL ENERG, V187, P489, DOI 10.1016/j.apenergy.2016.11.075
   Li L., 2024, Int. J. Soc. Sci. Public Adm, V2, P192, DOI [10.62051/ijsspa.v2n2.28, DOI 10.62051/IJSSPA.V2N2.28]
   Li T, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.138113
   Li ZJ, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16125220
   Lima Junior Paulo, 2014, Ciênc. educ. (Bauru), V20, P175, DOI 10.1590/1516-731320140010011
   Lin L, 2024, AGRICULTURE-BASEL, V14, DOI 10.3390/agriculture14071022
   Liu L., 2024, J. Univ. Electron. Sci. Technol. China, V26, P19
   Liu W, 2019, ECOL INDIC, V98, P228, DOI 10.1016/j.ecolind.2018.10.054
   Liu XY, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110626
   Liu XP, 2021, RESOUR CONSERV RECY, V166, DOI 10.1016/j.resconrec.2020.105330
   Liu Y, 2024, INT REV ECON FINANC, V94, DOI 10.1016/j.iref.2024.103373
   Liu ZM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102964
   Lu YW, 2021, HUM ECOL RISK ASSESS, V27, P921, DOI 10.1080/10807039.2020.1788918
   Luo GL, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0292241
   Luo JH, 2020, J ENVIRON PROT ECOL, V21, P1517
   Lv CC, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105237
   Ma Y, 2020, J ENVIRON MANAGE, V255, DOI 10.1016/j.jenvman.2019.109795
   Meng FX, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142633
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Pan YQ, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16156476
   Poláková M, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e18670
   Rehman SU, 2024, WATER-SUI, V16, DOI 10.3390/w16010124
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Salizzoni E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072900
   Shahbaz M, 2016, ENERG POLICY, V98, P353, DOI 10.1016/j.enpol.2016.09.002
   Sharma M, 2023, NAT HAZARDS REV, V24, DOI 10.1061/NHREFO.NHENG-1523
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Shi T, 2020, J CLEAN PROD, V244, DOI 10.1016/j.jclepro.2019.118739
   Sun HH, 2021, SCI TOTAL ENVIRON, V765, DOI 10.1016/j.scitotenv.2020.144567
   Sun JH, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19063718
   Vavrek R, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105519
   Wang H, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107163
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang YY, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1144244
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Wu X, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102354
   Xie RH, 2017, ECOL ECON, V132, P104, DOI 10.1016/j.ecolecon.2016.10.019
   Xu D, 2021, J CLEAN PROD, V321, DOI 10.1016/j.jclepro.2021.128948
   Xu MX, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120641
   Xu X, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20010413
   Yang Y, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151914236
   Yodo N, 2016, J MECH DESIGN, V138, DOI 10.1115/1.4034223
   Yu TH, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-67364-4
   Yuan Y, 2022, ECOL ENG, V175, DOI 10.1016/j.ecoleng.2021.106486
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhang C, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8111101
   Zhang YJ, 2017, ENERG POLICY, V100, P18, DOI 10.1016/j.enpol.2016.10.005
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Zhao X, 2022, RESOUR CONSERV RECY, V176, DOI 10.1016/j.resconrec.2021.105959
   Zhao X, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-04685-4
   Zhao Y., 2024, Innovation and Green Development, V3, DOI [10.1016/j.igd.2024.100148, DOI 10.1016/J.IGD.2024.100148]
   Zhao Y., 2024, J. Stat. Econ, V1, P35, DOI [10.62517/jse.202411106, DOI 10.62517/JSE.202411106]
   [郑永年 Zheng Yongnian], 2024, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V39, P797
   Zhou XX, 2020, J CLEAN PROD, V271, DOI 10.1016/j.jclepro.2020.122680
   Zhou Y, 2022, POL J ENVIRON STUD, V31, P2381, DOI 10.15244/pjoes/144098
   Zhu MH, 2024, INT J PROD ECON, V267, DOI 10.1016/j.ijpe.2023.109070
   Zhu YF, 2021, J CLEAN PROD, V312, DOI 10.1016/j.jclepro.2021.127783
   Zhu ZY, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104274
   Zou C, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109152
NR 95
TC 1
Z9 1
U1 44
U2 44
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2024
VL 13
IS 12
AR 1998
DI 10.3390/land13121998
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Q9H6I
UT WOS:001387700200001
OA gold
DA 2025-04-22
ER

PT J
AU Negru, SA
   Geragersian, P
   Petrunin, I
   Guo, WS
AF Negru, Sorin Andrei
   Geragersian, Patrick
   Petrunin, Ivan
   Guo, Weisi
TI Resilient Multi-Sensor UAV Navigation with a Hybrid Federated Fusion
   Architecture
SO SENSORS
LA English
DT Article
DE UAV; urban air mobility; computer vision; multipath; resilient
   navigation; hybrid fusion; GRU; EKF
ID NEURAL-NETWORK; FILTER
AB Future UAV (unmanned aerial vehicle) operations in urban environments demand a PNT (position, navigation, and timing) solution that is both robust and resilient. While a GNSS (global navigation satellite system) can provide an accurate position under open-sky assumptions, the complexity of urban operations leads to NLOS (non-line-of-sight) and multipath effects, which in turn impact the accuracy of the PNT data. A key research question within the research community pertains to determining the appropriate hybrid fusion architecture that can ensure the resilience and continuity of UAV operations in urban environments, minimizing significant degradations of PNT data. In this context, we present a novel federated fusion architecture that integrates data from the GNSS, the IMU (inertial measurement unit), a monocular camera, and a barometer to cope with the GNSS multipath and positioning performance degradation. Within the federated fusion architecture, local filters are implemented using EKFs (extended Kalman filters), while a master filter is used in the form of a GRU (gated recurrent unit) block. Data collection is performed by setting up a virtual environment in AirSim for the visual odometry aid and barometer data, while Spirent GSS7000 hardware is used to collect the GNSS and IMU data. The hybrid fusion architecture is compared to a classic federated architecture (formed only by EKFs) and tested under different light and weather conditions to assess its resilience, including multipath and GNSS outages. The proposed solution demonstrates improved resilience and robustness in a range of degraded conditions while maintaining a good level of positioning performance with a 95th percentile error of 0.54 m for the square scenario and 1.72 m for the survey scenario.
C1 [Negru, Sorin Andrei; Geragersian, Patrick; Petrunin, Ivan; Guo, Weisi] Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, England.
C3 Cranfield University
RP Negru, SA (corresponding author), Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, England.
EM s.negru.965@cranfield.ac.uk; patrick.geragersian@cranfield.ac.uk;
   i.petrunin@cranfield.ac.uk; weisi.guo@cranfield.ac.uk
RI Petrunin, Ivan/AAD-2471-2019; Guo, Weisi/J-7266-2019
OI Petrunin, Ivan/0000-0002-8705-5308; Negru, Sorin
   Andrei/0009-0006-0069-2707
CR Al Bitar Nader, 2020, Gyroscopy and Navigation, V11, P41, DOI 10.1134/S2075108720010022
   Alkendi Y, 2021, IEEE ACCESS, V9, P76847, DOI 10.1109/ACCESS.2021.3082778
   [Anonymous], FLANN-fast library for approximate nearest neighbors [Computer software manual]
   api.semanticscholar.org, Features from Accelerated Segment Test (FAST) Deepak Geetha Viswanathan
   Aqel MOA, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-3573-7
   Balamurugan G., 2016, 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), P198, DOI 10.1109/SCOPES.2016.7955787
   Bay H, 2008, COMPUT VIS IMAGE UND, V110, P346, DOI 10.1016/j.cviu.2007.09.014
   Cai GW, 2011, ADV IND CONTROL, P1, DOI 10.1007/978-0-85729-635-1_1
   CARLSON NA, 1990, IEEE T AERO ELEC SYS, V26, P517, DOI 10.1109/7.106130
   Couturier A, 2021, ROBOT AUTON SYST, V135, DOI 10.1016/j.robot.2020.103666
   Cunliffe AM, 2017, INT J REMOTE SENS, V38, P2737, DOI 10.1080/01431161.2017.1286059
   Dai HF, 2020, DEF TECHNOL, V16, P334, DOI 10.1016/j.dt.2019.08.011
   Dai J, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22082832
   Das S, 2018, Arxiv, DOI arXiv:1809.02989
   FISCHLER MA, 1981, COMMUN ACM, V24, P381, DOI 10.1145/358669.358692
   George A, 2023, DRONES-BASEL, V7, DOI 10.3390/drones7010036
   Geraghty P, 2022, AIAA SCITECH 2022 FORUM, DOI 10.2514/6.2022-1759
   Guan SY, 2022, DRONES-BASEL, V6, DOI 10.3390/drones6050117
   Guang XX, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21072500
   Harris C.G., 1988, ALVEY VISION C CITES, P147
   Hartley Richard, 2003, Multiple view geometry in computer vision
   Helgesen HH, 2019, ISPRS J PHOTOGRAMM, V154, P84, DOI 10.1016/j.isprsjprs.2019.05.009
   Hemerly EM, 2017, SYST SCI CONTROL ENG, V5, P1, DOI 10.1080/21642583.2016.1262801
   Hening S, 2017, AIAA INFORM SYSTEMSA, P0448
   Janke C, 2022, J INTELL ROBOT SYST, V106, DOI 10.1007/s10846-022-01714-0
   Jwo DJ, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13074475
   Jwo DJ, 2006, LECT NOTES COMPUT SC, V4221, P461
   Jwo DJ, 2004, IEEE SYS MAN CYBERN, P3686, DOI 10.1109/ICSMC.2004.1400916
   LAWRENCE PJ, 1994, IEEE 1994 POSITION LOCATION AND NAVIGATION SYMPOSIUM, P703, DOI 10.1109/PLANS.1994.303380
   Lee DS, 2022, TECHNOL SOC, V71, DOI 10.1016/j.techsoc.2022.102079
   Lewicka O, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14236127
   Lowe DG, 2004, INT J COMPUT VISION, V60, P91, DOI 10.1023/B:VISI.0000029664.99615.94
   Negru SA, 2023, AIAA SCITECH 2023 FORUM, DOI 10.2514/6.2023-2226
   Qin T, 2018, IEEE T ROBOT, V34, P1004, DOI 10.1109/TRO.2018.2853729
   Quinchia AG, 2013, SENSORS-BASEL, V13, P9549, DOI 10.3390/s130809549
   Rosin PL, 1999, COMPUT VIS IMAGE UND, V73, P291, DOI 10.1006/cviu.1998.0719
   Rublee E, 2011, IEEE I CONF COMP VIS, P2564, DOI 10.1109/ICCV.2011.6126544
   Sánchez J, 2018, IMAGE PROCESS ON LIN, V8, P305, DOI 10.5201/ipol.2018.229
   Saranya KC, 2016, 2016 INTERNATIONAL CONFERENCE ON RESEARCH ADVANCES IN INTEGRATED NAVIGATION SYSTEMS (RAINS)
   Scaramuzza D, 2011, IEEE ROBOT AUTOM MAG, V18, P80, DOI 10.1109/MRA.2011.943233
   Servières M, 2021, J SENSORS, V2021, DOI 10.1155/2021/2054828
   Tang YA, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14030752
   Tareen Shaharyar Ahmed Khan, 2018, 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). Proceedings, DOI 10.1109/ICOMET.2018.8346440
   Wang YS, 2013, COMPUT GEOSCI-UK, V61, P23, DOI 10.1016/j.cageo.2013.07.016
   Xiang HT, 2011, BIOSYST ENG, V108, P104, DOI 10.1016/j.biosystemseng.2010.11.003
   Yang B, 2019, DRONES-BASEL, V3, DOI 10.3390/drones3030060
   Zhang C, 2020, IEEE ACCESS, V8, P17121, DOI 10.1109/ACCESS.2020.2966876
   Zhang GH, 2021, IEEE SENS J, V21, P20563, DOI 10.1109/JSEN.2021.3098006
   Zhang Q, 2014, FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), P100, DOI 10.1109/ICICIP.2014.7010322
   Zhuang Y, 2023, INFORM FUSION, V95, P62, DOI 10.1016/j.inffus.2023.01.025
NR 50
TC 3
Z9 3
U1 5
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1424-8220
J9 SENSORS-BASEL
JI Sensors
PD FEB
PY 2024
VL 24
IS 3
AR 981
DI 10.3390/s24030981
PG 23
WC Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments
   & Instrumentation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Instruments & Instrumentation
GA HO7P0
UT WOS:001160514400001
PM 38339697
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Long, X
   Wu, SG
   Wang, JY
   Wu, PZ
   Wang, Z
AF Long, Xiang
   Wu, Shaogui
   Wang, Jiayang
   Wu, Peize
   Wang, Zhuo
TI Urban water environment carrying capacity based on VPOSR-coefficient of
   variation-grey correlation model: A case of Beijing, China
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Water environmental carrying capacity; VPOSR framework; Coefficient of
   variation method; Grey correlation
ID ECOSYSTEM HEALTH; SYSTEM
AB In order to gain an in-depth understanding of the change of urban water environment carrying capacity (WECC), we proposed a framework system of VPOSR (vigor, pressure, organization, state and resilience subsystem), which was used to construct an evaluation index system for urban WECC. The coefficient of variation grey correlation method was employed to analyze the urban WECC of each subsystem of Beijing, China from year 2008 to 2016. The coupling coordination degree of each subsystem were calculated. The results show that: (1) The evaluation index value of WECC in Beijing is on the rise from 0.3560 in 2008 to 0.7877 in 2016, which suggests that the index of WECC of Beijing is improving, and the social and economic development is within an affordable range of the water environment. (2) The rate of ecological water usage, the proportion of energy conservation and environmental protection in local financial expenditure and the per capita water resources are the top three indicators with great impact on WECC. (3) The correlation degree index of vigor subsystem, pressure subsystem, organization subsystem, state subsystem, and resilience subsystem with water environment carrying capacity system are 0.0958, 0.1169, 0.0252, 0.0328 and 0.2962 respectively. The subsystem with strong correlation with water environment is resilience subsystem, followed by pressure subsystem. (4) According to the index distribution of coordination degree, the coordination degree level is between 0.4032 and 0.4458, and the coupling degree of each subsystem is above 0.8, which belong to the high coupling level.
C1 [Long, Xiang; Wu, Shaogui] Sichuan Normal Univ, Coll Chem & Mat Sci, Chengdu 610066, Peoples R China.
   [Wang, Jiayang; Wu, Peize; Wang, Zhuo] Chengdu Univ Informat Technol, Dept Resources & Environm, Chengdu 610041, Peoples R China.
C3 Sichuan Normal University; Chengdu University of Information Technology
RP Wu, SG (corresponding author), Sichuan Normal Univ, Coll Chem & Mat Sci, Chengdu 610066, Peoples R China.
EM 15116866@qq.com
RI Zhang, Qingyun/JKH-5964-2023
FU Project of Science and Technology Department of Sichuan Province, China
   [21JDR0131, 21RKX0358]; National College Students' innovation and
   entrepreneurship training program of China [S202110621040]
FX This work was supported by Project of Science and Technology Department
   of Sichuan Province, China (No. 21JDR0131, 21RKX0358), National College
   Students' innovation and entrepreneurship training program of China
   (S202110621040).
CR [Anonymous], 2012, ENV SCI MANAGE
   Chen Y.B., 2004, CHIN J WATER RESOUR, V7, P98
   Costanza R, 2012, ECOL ENG, V45, P24, DOI 10.1016/j.ecoleng.2012.03.023
   de Souza EV, 2014, PROCEDIA ENGINEER, V70, P458, DOI 10.1016/j.proeng.2014.02.051
   Filyushkina A, 2018, FOREST ECOL MANAG, V409, P179, DOI 10.1016/j.foreco.2017.10.022
   [郭倩 Guo Qian], 2017, [自然资源学报, Journal of Natural Resources], V32, P484
   Huang Q.S., 2008, J NATURAL RESOUR, V33, P173
   Kang P, 2012, PROCEDIA ENVIRON SCI, V13, P879, DOI 10.1016/j.proenv.2012.01.082
   Lei HJ, 2013, ADV MATER RES-SWITZ, V616-618, P1388, DOI 10.4028/www.scientific.net/AMR.616-618.1388
   Liu C.H., 2013, J NATURAL RESOUR
   Lu F, 2003, ECOL MODEL, V170, P55, DOI 10.1016/S0304-3800(03)00300-4
   Lv CM, 2009, ECOL ENG, V35, P703, DOI 10.1016/j.ecoleng.2008.11.003
   Lv X.G., 2016, ENV DEV, V28, P15
   Mai S, 2005, TROPICAL GEOGRAPHY, V25, P317
   Noorhosseini SA, 2017, SCI TOTAL ENVIRON, V599, P2019, DOI 10.1016/j.scitotenv.2017.05.128
   Qiao Y.Q., 2015, AGR RES ARID AREAS, V33, P238
   Quan Y.L., 2008, WATER SAVING IRRIGAT, V6, P27
   Shabbir R, 2016, J KING SAUD UNIV SCI, V28, P293, DOI 10.1016/j.jksus.2015.09.007
   Shen LY, 2018, ECOL INDIC, V94, P357, DOI 10.1016/j.ecolind.2018.06.068
   [宋炳煜 Song Bingyu], 2003, [自然资源学报, Journal of Natural Resources], V18, P617
   Wang J.Y., 2017, J ENVIRON SCI, V37, P1564
   Wang Jia-yang, 2017, China Environmental Science, V37, P1979
   Wang TX, 2015, ECOL INDIC, V52, P134, DOI 10.1016/j.ecolind.2014.12.002
   Ying Y.X, 2012, AGR RES ARID AREAS
   [于定勇 YU DingYong], 2011, [中国海洋大学学报. 自然科学版, Journal of Ocean University of China], V41, P170
   Zhai H.J., 2008, J ENVIRON SCI, V28, P243
   Zhang Y., 2013, CHINA IND EC, P57, DOI DOI 10.1109/CULTURECOMPUTING.2013.18
   Zhang YJ, 2021, ECOL INDIC, V124, DOI 10.1016/j.ecolind.2021.107392
   Zhang Z, 2014, ECOL MODEL, V275, P9, DOI 10.1016/j.ecolmodel.2013.11.031
   Zheng H.C, 2008, CHIN AGR SCI B, V24, P403
   Zhou ZY, 2013, PROCEDIA ENVIRON SCI, V18, P227, DOI 10.1016/j.proenv.2013.04.029
   Zuo QT, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108034
NR 32
TC 44
Z9 44
U1 5
U2 74
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD MAY
PY 2022
VL 138
AR 108863
DI 10.1016/j.ecolind.2022.108863
EA APR 2022
PG 10
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 1G6LL
UT WOS:000795957800004
OA gold
DA 2025-04-22
ER

PT J
AU Hill, D
   Bruno, M
   Melo, HPM
   Takeuchi, Y
   Loreto, V
AF Hill, Dan
   Bruno, Matteo
   Melo, Hygor P. M.
   Takeuchi, Yuichiro
   Loreto, Vittorio
TI Cities beyond proximity
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE future cities; proximity-based cities; participation versus
   representation; inequalities and inclusion
ID CARS
AB The concept of 'proximity-based cities' has gained attention as a new urban organizational model. Most prominently, the 15-minute city contends that cities can function more effectively, equitably and sustainably if essential, everyday services and key amenities are within a 15-minute walk or cycle. However, focusing solely on travel time risks overlooking disparities in service quality, as the proximity paradigm tends to emphasize the mere presence of an element in a location rather than bringing up more complex questions of identity, diversity, quality, value or relationships. Transitioning to value-based cities by considering more than just proximity can enhance local identity, resilience and urban democracy. Fostering bottom-up initiatives can create a culture of local care and value, while predominantly top-down governing strategies can lead to large inequalities. Balancing these approaches can maximize resilience, health and sustainability. This equilibrium has the potential to accompany sustainable growth, by encouraging the creation of innovative urban solutions and reducing inequalities. This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.
C1 [Hill, Dan] Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Australia.
   [Bruno, Matteo; Melo, Hygor P. M.; Loreto, Vittorio] CREF, Sony CSL Rome, Joint Initiat CREF SONY, Via Panisperna 89-A, I-00184 Rome, Italy.
   [Melo, Hygor P. M.] IFCE, Ave Des Armando Sales Louzada, Acarau, Brazil.
   [Takeuchi, Yuichiro] Sony CSL Kyoto, 13-1 Hontorocho, Kyoto 6008086, Japan.
   [Takeuchi, Yuichiro] Wikitopia Inst, 214-1 Nakakanabutsucho,Shimogyo Ward, Kyoto 6008332, Japan.
   [Loreto, Vittorio] Sapienza Univ Rome, Phys Dept, Piazzale Aldo Moro 2, I-00185 Rome, Italy.
   [Loreto, Vittorio] Complex Sci Hub, Josefstaedter Str 3, A-1080 Vienna, Austria.
C3 University of Melbourne; Sapienza University Rome
RP Loreto, V (corresponding author), CREF, Sony CSL Rome, Joint Initiat CREF SONY, Via Panisperna 89-A, I-00184 Rome, Italy.; Loreto, V (corresponding author), Sapienza Univ Rome, Phys Dept, Piazzale Aldo Moro 2, I-00185 Rome, Italy.; Loreto, V (corresponding author), Complex Sci Hub, Josefstaedter Str 3, A-1080 Vienna, Austria.
EM dan.hill@unimelb.edu.au; Matteo.Bruno@sony.com; Hygor.melo@sony.com;
   yt@tinylab.me; vittorio.loreto@sony.com
RI Loreto, Vittorio/C-7245-2008; Bruno, Matteo/JKH-9079-2023; Melo,
   Hygor/AAY-1792-2020
OI Hill, Dan/0000-0001-9974-8964
CR Abbiasov T, 2024, NAT HUM BEHAV, V8, DOI 10.1038/s41562-023-01770-y
   Baiocchi G, 2001, POLIT SOC, V29, P43, DOI 10.1177/0032329201029001003
   Barbosa H, 2018, PHYS REP, V734, P1, DOI 10.1016/j.physrep.2018.01.001
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Batty M., 2024, The Computable City: Histories, Technologies, Stories, Predictions
   Biazzo I, 2019, ROY SOC OPEN SCI, V6, DOI 10.1098/rsos.190979
   Brown JR, 2009, J AM PLANN ASSOC, V75, P161, DOI 10.1080/01944360802640016
   Brown L., 2003, Eco economy: building an economy for the earth, DOI [10.1108/meq.2003.14.1.159.2, DOI 10.1108/MEQ.2003.14.1.159.2]
   Bruno M., 2024, Nature Cities, V1, P633, DOI [DOI 10.1038/S44284-024-00119-4, 10.1038/s44284-024-00119-4]
   Caldarelli G, 2023, NAT COMPUT SCI, V3, P374, DOI 10.1038/s43588-023-00431-4
   Calthorpe Peter., 2001, THE REGIONAL CITY
   Dan H, 2022, Designing missions. Mission-oriented innovation in Sweden-a practice guide by Vinnova
   Dovey K, 2017, PLAN THEORY PRACT, V18, P249, DOI 10.1080/14649357.2017.1281996
   Easterling K., 2014, Extrastatecraft: The Power of Infrastructure Space
   Frias-Martinez V, 2012, PROCEEDINGS OF 2012 ASE/IEEE INTERNATIONAL CONFERENCE ON PRIVACY, SECURITY, RISK AND TRUST AND 2012 ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM/PASSAT 2012), P239, DOI 10.1109/SocialCom-PASSAT.2012.19
   Gehl J., 2010, CITIES PEOPLE
   Gossling S, 2020, J URBAN DES, V25, P443, DOI 10.1080/13574809.2020.1727318
   Graells-Garrido E, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0250080
   Guzman LA, 2024, CITIES, V148, DOI 10.1016/j.cities.2024.104882
   Hagerstrand T., 1976, GEOFORUM, V7, P329, DOI DOI 10.1016/0016-7185(76)90063-4
   Helbing D, 2023, J COMPUT SCI-NETH, V71, DOI 10.1016/j.jocs.2023.102061
   Hgerstrand T, 1981, Lund studies in geography
   Howard E, 2003, ORGAN ENVIRON, V16, P98, DOI 10.1177/1086026602250259
   Ingold Tim., 2016, LINES BRIEF HIST
   Jane J., 1961, DEATH LIFE GREAT AM
   Lima FT, 2023, ARCHITECTURE-BASEL, V3, P393, DOI 10.3390/architecture3030021
   Lisa S, 2018, Seoul smart city portrait: The power of citizen participation
   Logan TM, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103924
   Lynch K, 1964, The image of the city. joint center series
   Manzini E., 2022, Livable proximity: Ideas for the city that cares
   Matheson C.:., Reference Reviews, V28, P36, DOI [DOI 10.1108/RR-07-2014-0203, 10.1108/RR-07-2014-0203]
   Mazzucato M, 2022, IIPP Policy Report No.2022/03
   Megahed G, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16031303
   Moreno C., 2024, The 15-minute city: A solution to saving our time and our planet
   Moreno C, 2021, SMART CITIES-BASEL, V4, P93, DOI 10.3390/smartcities4010006
   Morozov Evgeny, 2013, To save everything, click here: Technology, solutionism, and the urge to fix problems that don't exist
   Nicoletti L, 2023, ENVIRON PLAN B-URBAN, V50, P831, DOI 10.1177/23998083221131044
   OpenStreetMap contributors, 2023, OpenStreetMap database
   Peters B G., 2021, Administrative traditions: Understanding the Roots of Contemporary Administrative Behavior
   Rhoads D, 2023, COMPUT ENVIRON URBAN, V100, DOI 10.1016/j.compenvurbsys.2022.101936
   Rowe F, 2023, POPUL SPACE PLACE, V29, DOI 10.1002/psp.2637
   Sassen Saskia., 2017, BROWN J WORLD AFFAIR, V23, P119, DOI DOI 10.26300/22X0-8M36
   Sennett R., 2007, The culture of the new capitalism
   Sennett Richard., 2017, POSTURBAN WORLD EMER, P97
   Shahab N., 2016, Indonesia: One Map Policy
   Silva V, 2024, URBAN RES PRACT, V17, P371, DOI 10.1080/17535069.2023.2222097
   Sony CSL, 2022, A platform for examining the proximity of worldwide cities
   Staricco L, 2022, J URBAN MOBIL, V2, DOI 10.1016/j.urbmob.2022.100030
   Vale D, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00133-w
   Wampler Brian., 2012, Journal of Public Deliberation, V8
   Wu YF, 2024, CITIES, V147, DOI 10.1016/j.cities.2024.104791
NR 51
TC 2
Z9 2
U1 5
U2 5
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD NOV 13
PY 2024
VL 382
IS 2285
AR 20240097
DI 10.1098/rsta.2024.0097
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA M0E1G
UT WOS:001354351500005
PM 39533915
DA 2025-04-22
ER

PT J
AU Qu, Z
   He, SW
   Fu, HR
AF Qu, Zhe
   He, Siwei
   Fu, Haoran
TI Computational Evaluation of the Functional Loss and Recovery of
   Individual Buildings
SO JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
LA English
DT Article
DE Resilience; Level of service; Business interruption; Seismic isolation;
   Multi-hazards
ID SEISMIC RESILIENCE
AB A community's resilience relies on the resilience of its infrastructure systems and the many individual buildings that form the built environment. In evaluating the resilience of an individual building, it is fundamental to quantitatively define its functionality. In this paper, the functionality and its variation of a seismically based-isolated building after a rainstorm is quantitatively assessed using a component-based framework. The overall functionality of the building is taken as the weighted average of several primary functions, which are further divided into subfunctions. Each subfunction is related to a group of nonstructural components (NCs), many of which are supported by urban utilities. Hence, the quantitative functionality is correlated with the performance of specific NCs and utilities, the damage to which can be estimated through fragility analysis in a hazardous event. The observed damage to the NCs in the building of concern following a rainstorm and their realistic recovery process were recorded and used as input in the framework. The results show that a facility that is deemed to be highly resilient to a specific hazard could exhibit poor resilience to another type of hazard and that the resilience to a particular hazard could be readily enhanced if only the hazard were anticipated.
C1 [Qu, Zhe; Fu, Haoran] China Earthquake Adm, Key Lab Earthquake Engn & Engn Vibrat, Inst Engn Mech, Sanhe 065201, Hebei, Peoples R China.
   [He, Siwei] China Jinmao Holdings Grp Ltd, NEO Bldg, Shenzhen 518042, Guangdong, Peoples R China.
C3 China Earthquake Administration
RP Qu, Z (corresponding author), China Earthquake Adm, Key Lab Earthquake Engn & Engn Vibrat, Inst Engn Mech, Sanhe 065201, Hebei, Peoples R China.
EM quz@iem.ac.cn; hesiwei0502@163.com; fuhaoran2019@163.com
RI Qu, Zhe/B-3364-2012; He, siwei/ISV-3299-2023; Haoran, Fu/KFR-5520-2024
OI Qu, Zhe/0000-0002-6368-2147
FU Scientific Research Fund of the Institute of Engineering Mechanics,
   China Earthquake Administration [2018C01]; National Natural Science
   Foundation of China [51878629]
FX This research was sponsored by the Scientific Research Fund of the
   Institute of Engineering Mechanics, China Earthquake Administration
   (2018C01), and a general program of the National Natural Science
   Foundation of China (51878629). Their financial support is appreciated.
CR [Anonymous], 2006, 8 US NAT C EARTHQ EN
   [Anonymous], P 15 WORLD C EARTHQ
   Arcidiaconoo V., 2012, P 15 WORLD C EARTHQ
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Cimellaro G. P., 2007, P 12 IT NAT C EARTHQ
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Dangauthier P., 2007, P NIPS NEUR INF PROC
   Decò A, 2013, EARTHQ ENG STRUCT D, V42, P1469, DOI 10.1002/eqe.2282
   Didier M, 2018, J STRUCT ENG, V144, DOI 10.1061/(ASCE)ST.1943-541X.0002007
   Elsayed A. E., 2012, RELIABILITY ENG, P91
   FEMA-NIBS, 2003, Multi-Hazardloss Estimation MethodologyEarthquake Model: HAZUSMH. Advanced Engineering Building ModuleTechnical and User's Manual
   Herbrich R., 2006, P ADV NEUR INF PROC
   Kammouh O, 2018, EARTHQ ENG ENG VIB, V17, P261, DOI 10.1007/s11803-018-0440-2
   MacKenzie CA, 2013, J INFRASTRUCT SYST, V19, P25, DOI 10.1061/(ASCE)IS.1943-555X.0000103
   Mensah AF, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001423
   Renschler C. S., 2010, P 9 US NAT 10 CAN C
   Zhang WL, 2017, STRUCT INFRASTRUCT E, V13, P1404, DOI 10.1080/15732479.2016.1271813
NR 18
TC 10
Z9 12
U1 10
U2 70
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0887-3828
EI 1943-5509
J9 J PERFORM CONSTR FAC
JI J. Perform. Constr. Facil.
PD JUN 1
PY 2020
VL 34
IS 3
AR 04020042
DI 10.1061/(ASCE)CF.1943-5509.0001444
PG 11
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA LJ8FX
UT WOS:000530397700006
DA 2025-04-22
ER

PT J
AU Arrieta, T
   Davies, JS
AF Arrieta, Tania
   Davies, Jonathan S.
TI Crisis management in English local government: the limits of resilience
SO POLICY AND POLITICS
LA English
DT Article; Early Access
DE crisis-management; resilience; local authorities; zero-sum games;
   displacement; East Midlands; UK; local government
ID URBAN CRISIS; POLICY; AUSTERITY; GOVERNANCE; CUTS; NEOLIBERALISM;
   REGIONS; IMPACT
AB Research on local government in the UK during the era of austerity has shown that the decisions taken by local councils to cope with financial stresses were often narrated through the discourse of 'resilience', referencing their capacity to innovate and transform services, while protecting service provision in core areas. This emphasis on 'resilience' focused on the deployment of strategies to overcome funding challenges. However, this earlier research did not question the longer -term risks, trade-offs and negative social implications associated with such decisions, and how, even in circumstances where these practices provided some 'breathing space', in the longer -term they risked adding even more strain to the system as a whole. This article fills an important research gap by considering four resilience strategies of two local authorities in England: Leicester and Nottingham. These four strategies are: savings, reserves, collaboration and investment. Applying a meso-level perspective and exploring resilience through the lens of crisis management, it asks in what ways and for whom resilience generates positive, zero and negative -sum outcomes. This research enhances our understanding of the resilience concept by reflecting on its limitations and the risks it poses for local government. It also reveals that, while the concept of 'resilience' has been much criticised for normalising crises and generally operating as part of a de -politicising vocabulary, research is lacking on how the practices of resilience produce positive, zero or negativesum outcomes.
C1 [Arrieta, Tania] Univ Leicester, Leicester, England.
   [Davies, Jonathan S.] De Montfort Univ, Leicester, England.
C3 University of Leicester; De Montfort University
RP Arrieta, T (corresponding author), Univ Leicester, Leicester, England.
EM ta289@leicester.ac.uk; jsdavies@dmu.ac.uk
CR Ahrens T, 2020, J PUBLIC BUDGET ACC, V32, P813, DOI 10.1108/JPBAFM-07-2020-0098
   Badenoch K., 2022, Local Government Update, Statement made on 23 June 2022
   Barbehön M, 2017, URBAN STUD, V54, P2072, DOI 10.1177/0042098015613002
   Bayirbag MK, 2017, URBAN STUD, V54, P2056, DOI 10.1177/0042098015617079
   Bayirbag MK, 2017, URBAN STUD, V54, P2023, DOI 10.1177/0042098017706336
   Beck U., 1992, Risk society: Towards a new modernity, V17
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   CLES (Centre for Local Economic Strategies), 2014, A summary of austerity in the East Midlands and a case study of Derby City Council
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Davies JS, 2020, J URBAN AFF, V42, P56, DOI 10.1080/07352166.2018.1490152
   Davies JS, 2011, CHALLENGING GOVERNANCE THEORY: FROM NETWORKS TO HEGEMONY, P1, DOI 10.1332/policypress/9781847426154.001.0001
   Donoghue M, 2020, CRIT SOC POLICY, V40, P7, DOI 10.1177/0261018319825547
   Eckersley P, 2019, POLICY POLIT, V47, P455, DOI 10.1332/030557319X15613701303511
   Fitzgerald A, 2015, LOCAL GOV STUD, V41, P582, DOI 10.1080/03003930.2015.1040154
   George N, 2016, POLICY POLIT, V44, P591, DOI 10.1332/030557315X14351420409945
   Gray M, 2018, CAMB J REG ECON SOC, V11, P541, DOI 10.1093/cjres/rsy019
   Gray S, 2023, DISASTERS, V47, P608, DOI 10.1111/disa.12567
   Grimshaw D, 2012, CAMB J ECON, V36, P105, DOI 10.1093/cje/ber033
   Harvey David., 1999, LIMITS CAPITAL
   Hastings A, 2015, LOCAL GOV STUD, V41, P601, DOI 10.1080/03003930.2015.1036987
   Hay C., 1996, Restating Social and Political Change
   Hay Colin., 1999, BRIT J POLIT INT REL, V1, P317, DOI [10.1111/1467-856X.00018, DOI 10.1111/1467-856X.00018]
   Hinkley S, 2017, URBAN STUD, V54, P2123, DOI 10.1177/0042098015618167
   HM Treasury, 2022, Country and Regional Analysis
   House of Commons, 2021, Supporting local authority financial sustainability in the first year of the pandemic
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Jones M, 2002, ANTIPODE, V34, P473, DOI 10.1111/1467-8330.00251
   Jones M., 1997, Journal of Contingencies and Crisis Management, V5, P154, DOI [10.1111/1468-5973.00051, DOI 10.1111/1468-5973.00051]
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Leicester City Council, 2018, Statement of Accounts 2017/18
   Leicester City Council, 2017, Statement of Accounts 2016/17
   Leicester City Council, 2023, Revenue Budget 2023/24
   Leicester City Council, 2019, Domestic and sexual violence needs assessment refresh 2019
   LGA (Local Government Association), 2023, Cost Pressures
   LGA (Local Government Association), 2020, Taking a public health approach to tackling serious violent crime
   Lowndes V, 2016, LOCAL GOV STUD, V42, P357, DOI 10.1080/03003930.2016.1150837
   Lowndes V, 2013, POLICY POLIT, V41, P533, DOI 10.1332/030557312X655747
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Mason K, 2012, ANTIPODE, V44, P493, DOI 10.1111/j.1467-8330.2010.00868.x
   NAO (National Audit Office), 2021, Local Government Financial in the Pandemic
   Newman J, 2013, POLICY POLIT, V41, P515, DOI 10.1332/030557312X655693
   Nottingham City Council, 2019, Statement of Accounts 2018-19
   Nottingham City Council, 2020, Draft Statement of Accounts 2019/20
   Nottingham City Council, 2017, Statement of Accounts 2016-17
   Nottingham Community and Voluntary Service (NCVS), 2017, Feeling the squeeze: state of the voluntary sector in Nottingham 2015-16
   Offe Claus., 1984, CONTRADICTIONS WELFA
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Shaw K, 2012, LOCAL GOV STUD, V38, P281, DOI 10.1080/03003930.2011.642869
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Swain J, 2022, INT J QUAL METH, V21, DOI 10.1177/16094069221085056
   Taylor-Collins E, 2022, LOCAL GOV STUD, V48, P929, DOI 10.1080/03003930.2021.1996357
   TfL (Transport for London), 2019, WPL Advice Note 2-Nottingham City Council's WPL: description and impacts of the scheme
   UN-Habitat, 2022, World City Report 2022
   Weaver T, 2017, URBAN STUD, V54, P2039, DOI 10.1177/0042098016640487
NR 55
TC 4
Z9 4
U1 4
U2 9
PU POLICY PRESS
PI BRISTOL
PA UNIV BRISTOL, 1-9 OLD PARK HILL, BRISTOL BS2 8BB, ENGLAND
SN 0305-5736
EI 1470-8442
J9 POLICY POLIT
JI Policy Polit.
PD 2024 FEB 22
PY 2024
DI 10.1332/03055736Y2024D000000029
EA FEB 2024
PG 19
WC Political Science; Public Administration
WE Social Science Citation Index (SSCI)
SC Government & Law; Public Administration
GA IQ7P2
UT WOS:001167862700001
DA 2025-04-22
ER

PT J
AU Tajuddin, N
   Dabrowski, M
AF Tajuddin, Nilofer
   Dabrowski, Marcin
TI Enabling Socio-Ecological Resilience in the Global South: Insights from
   Chennai, India
SO SUSTAINABILITY
LA English
DT Article
DE resilience; climate change adaptation; spatial planning; flooding;
   India; Chennai
ID CLIMATE-RELATED DISASTERS; BUILDING RESILIENCE; URBAN RESILIENCE;
   ADAPTATION; CITIES; CITY; TRANSITIONS; MANAGEMENT; GOVERNANCE; IMPACTS
AB Addressing climate change adaptation in the cities of the Global South is crucial as they are the most at risk and, arguably, the least capable of coping with it due to their rapid expansion, informal development, and limited institutional capacity. This paper explores this challenge in the case of Chennai, India, a city which, in recent years, has faced several climate related disasters, including floods. Building on an innovative combination of research methods (policy documents analysis, stakeholder interviews, and a community workshop), the study analyses the barriers and explores potentials for operationalising socio-ecological resilience in Chennai in the face of an ongoing conflict between rapid urbanisation and the natural water system, compromising the region's hydrological capacity and resilience to flooding. In particular, drawing on the notion of evolutionary resilience and multi-level approach, the paper investigates (1) the scope for developing an integrated vision for resilience of the Chennai region (macro level); (2) the presence and the capacity of institutions to connect the different stakeholders and mediate their interests (meso level); and (3) the barriers and potentials developing local adaptation strategies in a bottom-up manner (micro level). The study sheds light on the under-researched issue of socio-ecological resilience in Chennai, while identifying potentials for implementing it through a combination of top down and bottom-up approaches, which in turn provides useful lessons for planning for resilience in other cities in the Global South.
C1 [Dabrowski, Marcin] Delft Univ Technol, Fac Architecture & Built Environm, Dept Urbanism, NL-2628 BL Delft, Netherlands.
C3 Delft University of Technology
RP Dabrowski, M (corresponding author), Delft Univ Technol, Fac Architecture & Built Environm, Dept Urbanism, NL-2628 BL Delft, Netherlands.
EM nilofer.afza@gmail.com; m.m.dabrowski@tudelft.nl
OI Tajuddin, Nilofer/0000-0002-0569-5417
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Aithal BH, 2016, J INDIAN SOC REMOTE, V44, P617, DOI 10.1007/s12524-015-0482-0
   Aldunce P, 2016, ENVIRON HAZARDS-UK, V15, P58, DOI 10.1080/17477891.2015.1134427
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2016, WIT T BUILT ENV
   [Anonymous], 2017, Surviving Stigma: Housing and Land Rights of Farm Widows of Vidarbha, Maharashtra
   Arabindoo P., 2016, City, V20, P800, DOI [10.1080/13604813.2016.1239410, DOI 10.1080/13604813.2016.1239410]
   Arabindoo P. G., 2008, ABSENT SOC CONTOURIN
   Arya Sh., 2011, Times of India
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Bhattacharya S., 2003, HINDU 0609
   Bradsher Keith, 2016, The Hindu
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Care Earth City Connect, 2010, ADAPTIVE MANAGEMENT
   Chaitanya S.K., 2018, NEW INDIAN EXPR 0204
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Dabrowski M, 2018, ENVIRON PLAN C-POLIT, V36, P837, DOI 10.1177/2399654417725077
   Davoudi S., 2021, GOVERNANCE CLIMATE R, P9
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   de Haan FJ, 2014, TECHNOL FORECAST SOC, V85, P121, DOI 10.1016/j.techfore.2013.09.005
   Ellis R, 2012, ANTIPODE, V44, P1143, DOI 10.1111/j.1467-8330.2011.00958.x
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Hartmann T, 2017, J FLOOD RISK MANAG, V10, P145, DOI 10.1111/jfr3.12077
   Heinrichs D, 2013, INT J URBAN REGIONAL, V37, P1865, DOI 10.1111/1468-2427.12031
   Iturriza M, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102688
   Jax K, 2018, CURR OPIN ENV SUST, V35, P22, DOI 10.1016/j.cosust.2018.10.009
   Joerin J, 2012, INT J DISAST RISK RE, V1, P44, DOI 10.1016/j.ijdrr.2012.05.006
   Jordan A, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P1, DOI 10.1017/9781108284646
   Kumar K.P., 2011, TIMES INDIA 0106
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Manohar L., 2016, INT PLANN HIST SOC P, VVolume 3 3, P251, DOI [10.7480/iphs.2016.3.1266, DOI 10.7480/IPHS.2016.3.1266]
   McDonough K, 2017, ECOSYST SERV, V25, P82, DOI 10.1016/j.ecoser.2017.03.022
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Meyer H., 2014, URBANIZED DELTAS TRA
   Murugan P., 2017, WIRE 0119
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Parkinson J., 2005, Urban Stormwater Management in Developing Countries
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Prasad R., 2019, CHENNAI CITIZEN 0930
   Ramakrishnan S., 2019, INDIAN EXPRESS 0531
   Ran J, 2016, COMPUT ENVIRON URBAN, V57, P68, DOI 10.1016/j.compenvurbsys.2016.01.008
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Robinson GM, 2016, GEOGR J, V182, P114, DOI 10.1111/geoj.12144
   Russo M., 2017, REPAIR RESOURCE MANA, DOI [10.4233/uuid:321f152a0fe7-4125-bb98-c8c253e5b39f, DOI 10.4233/UUID:321F152A0FE7-4125-BB98-C8C253E5B39F]
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Suriya S, 2012, J HYDROL, V412, P210, DOI 10.1016/j.jhydrol.2011.05.008
   Swaminathan A., 2018, HINDU 0713
   Tanner Thomas., 2009, IDS Work. Pap, DOI 10.1111/j.2040-0209.2009.003152.x
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Vencatesan J, 2006, CURR SCI INDIA, V91, P1454
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Wilson Geoff., 2012, COMMUNITY RESILIENCE
   World Bank, CITIES CLIMATE CHANG
   ZEVENBERGEN Chris., 2010, Urban flood management
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 63
TC 6
Z9 6
U1 8
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2021
VL 13
IS 19
AR 10522
DI 10.3390/su131910522
PG 24
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA WH1YN
UT WOS:000707482500001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Li, EJ
   An, ZW
AF Li, Enji
   An, Ziwei
TI Does Transportation Infrastructure Construction Enhance Enterprise
   Innovation Resilience in China?
SO SUSTAINABILITY
LA English
DT Article
DE transportation infrastructure construction; enterprise innovation
   resilience; high-speed rail; resource basis; the common factor model
ID HIGH-SPEED RAIL; ORGANIZATIONAL RESILIENCE; IMPACT; PERFORMANCE;
   INFORMATION; CAPACITY; LOCATION; URBAN
AB With increasing uncertainty and ambiguity in the external business environment, the risks and challenges faced by enterprises also increase accordingly; resilience has become a necessary characteristic for the evolution and upgrading of enterprise innovation systems, and improving enterprise innovation resilience becomes the key for enterprises to establish sustainable competitive advantages and achieve sustainable development. Based on the panel data of Chinese listed companies and cities, we employ the common factor method to measure enterprise innovation resilience and explore the impact of transportation infrastructure construction on enterprise innovation resilience. The results reveal that, firstly, enterprise innovation resilience shows an overall upward trend, but there is a certain degree of temporal-spatial and industrial disparity. Secondly, transportation infrastructure construction, represented by HSR opening, can significantly improve enterprise innovation resilience. However, this effect performs the following heterogeneity: (1) Regionally, the promotion effect is more obvious in eastern regions, central cities, and non-central cities within 107 km and 764 km away from the central city. (2) For enterprises, compared to state-owned enterprises and non-high-tech industries, transportation infrastructure construction has a greater effect in non-state-owned enterprises and high-tech industries. (3) The higher the degree of centrality and closeness centrality, the more obvious the promotion effect of transportation infrastructure construction. Finally, mechanism tests show that enterprise resource acquisition and resource allocation abilities are important channels for transportation infrastructure construction, to enhance enterprise innovation resilience.
C1 [Li, Enji; An, Ziwei] Hebei Univ Econ & Business, Sch Business Adm, Shijiazhuang 050061, Peoples R China.
   [Li, Enji] Hebei Collaborat Innovat Ctr Urban Rural Integrate, Shijiazhuang 050061, Peoples R China.
C3 Hebei University of Economics & Business
RP Li, EJ (corresponding author), Hebei Univ Econ & Business, Sch Business Adm, Shijiazhuang 050061, Peoples R China.; Li, EJ (corresponding author), Hebei Collaborat Innovat Ctr Urban Rural Integrate, Shijiazhuang 050061, Peoples R China.
EM lienji@ucass.edu.cn; anziwei2021@stu.hueb.edu.cn
FU National Social Science Fund: A Study on the Bidirectional Embedding
   Mechanism and Optimization Path for the Stability of Migrant Workers
   Returning Home for Entrepreneurship
FX The authors would like to acknowledge the professionals who collaborate
   during this study and would also like to thank the editor and the
   anonymous referees at the journal for their insightful comments.
CR Agarwal S, 2010, REV FINANC STUD, V23, P2757, DOI 10.1093/rfs/hhq001
   Ahlfeldt GM, 2018, J ECON GEOGR, V18, P355, DOI 10.1093/jeg/lbx005
   Bai JS, 2009, ECONOMETRICA, V77, P1229, DOI 10.3982/ECTA6135
   Bernard AB, 2019, J POLIT ECON, V127, P639, DOI 10.1086/700764
   Bian Y., 2019, J Financial Res, V468, P132, DOI DOI 10.1111/PIRS.12641
   Cheng JM, 2021, TRANSPORT POLICY, V110, P354, DOI 10.1016/j.tranpol.2021.06.016
   Chernozhukov V, 2018, ECONOMET J, V21, pC1, DOI 10.1111/ectj.12097
   Claudel M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179334
   Dong Y M., 2016, Business Management Journal, V38, P26, DOI [10.19616/j.cnki.bmj.2016.11.003, DOI 10.19616/J.CNKI.BMJ.2016.11.003]
   Du X.Q., 2017, Economic Management, V39, P89, DOI [10.19616/j.cnki.bmj.2017.12.006, DOI 10.19616/J.CNKI.BMJ.2017.12.006]
   Duan H., 2023, Statistics Decision, V39, P164
   Fan J.H., 2022, Sci. Technol. Prog. Policy, V39, P51
   Feng QY, 2023, TRANSPORT POLICY, V133, P64, DOI 10.1016/j.tranpol.2023.01.006
   Ghani E, 2016, ECON J, V126, P317, DOI 10.1111/ecoj.12207
   Gittell JH, 2006, J APPL BEHAV SCI, V42, P300, DOI 10.1177/0021886306286466
   Givoni M, 2006, TRANSPORT REV, V26, P593, DOI 10.1080/01441640600589319
   Guirao B, 2017, LAND USE POLICY, V66, P131, DOI 10.1016/j.landusepol.2017.04.035
   Hauswald R, 2006, REV FINANC STUD, V19, P967, DOI 10.1093/rfs/hhj021
   Holl A, 2016, J URBAN ECON, V93, P131, DOI 10.1016/j.jue.2016.04.002
   Hu J., 2022, Science Technology Progress and Policy, V39, P49, DOI [10.6049/kjjbydc.2021050185, DOI 10.6049/KJJBYDC.2021050185]
   Ji Y., 2020, J. World Econ., V43, P147, DOI DOI 10.19985/J.CNKI.CASSJWE.2020.02.008
   Lengnick-Hall CA, 2011, HUM RESOUR MANAGE R, V21, P243, DOI 10.1016/j.hrmr.2010.07.001
   Li EJ, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0272003
   Li H, 2022, TRANSPORT POLICY, V128, P65, DOI 10.1016/j.tranpol.2022.09.018
   Li J., 2020, Economics (Quarterly), V19, P1335, DOI DOI 10.13821/J.CNKI.CEQ.2020.03.09
   Li P., 2021, Foreign Econ. Manag, V43, P25
   Li P, 2016, J DEV ECON, V123, P18, DOI 10.1016/j.jdeveco.2016.07.002
   Li Y, 2020, TRANSPORT POLICY, V97, P220, DOI 10.1016/j.tranpol.2020.08.001
   Li YL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811330
   [梁林 Liang Lin], 2020, [中国软科学, China Soft Science], P92
   Liao J.Q., 2021, Contemp. Financ. Econ, V3, P3, DOI [10.13676/j.cnki.cn36-1030/f.2021.03.002, DOI 10.13676/J.CNKI.CN36-1030/F.2021.03.002]
   Lisdiono P, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14106268
   Liu X.X., 2021, SOC SCI CHINA, V1, P12
   Long J.H., 2017, Sci. Technol. Manag. Res, V37, P27
   Loughran T, 2005, J FINANC ECON, V78, P341, DOI 10.1016/j.jfineco.2004.10.008
   Lv WD, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103641
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Ortiz-de-Mandojana N, 2016, STRATEGIC MANAGE J, V37, P1615, DOI 10.1002/smj.2410
   Putritamara JA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15031760
   Sun W., 2020, World Econ, V43, P151
   Vu K, 2022, TRANSPORT POLICY, V129, P204, DOI 10.1016/j.tranpol.2022.10.017
   Wang P., 2021, Comp. Econ. Soc. Syst, V6, P76
   Wang Y., 2018, R D Res. Manag, V39, P144
   WANG Y., 2022, Economic Science, P82
   Wang YM, 2022, TRANSPORT POLICY, V116, P119, DOI 10.1016/j.tranpol.2021.11.024
   Wei J.Z., 2022, Sci. Technol. Manag. Res, V42, P39
   Wen HW, 2021, APPL ECON, V53, P6333, DOI 10.1080/00036846.2020.1717429
   Williams TA, 2017, ACAD MANAG ANN, V11, P733, DOI 10.5465/annals.2015.0134
   Wu AH, 2017, TECHNOL FORECAST SOC, V117, P339, DOI 10.1016/j.techfore.2016.08.033
   Wu Q., 2020, Contemp. Financ. Econ, V10, P75, DOI [10.13676/j.cnki.cn36-1030/f.2020.10.008, DOI 10.13676/J.CNKI.CN36-1030/F.2020.10.008]
   Wu Y., 2021, Finance Forum, V26, P27
   Xiao T., 2022, Bus. Manag. J, V44, P41
   Xu F, 2022, TRANSPORT POLICY, V128, P121, DOI 10.1016/j.tranpol.2022.09.019
   [杨伟 Yang Wei], 2022, [科学学研究, Studies in Science of Science], V40, P534
   Zhang M., 2018, Chinese China Ind Econ, P137, DOI [10.19581/j.cnki.ciejournal.2018.05.008, DOI 10.19581/J.CNKI.CIEJOURNAL.2018.05.008]
   Zheng SQ, 2013, P NATL ACAD SCI USA, V110, pE1248, DOI 10.1073/pnas.1209247110
   Zhu Y.J., 2020, China J. Econ, V7, P35
NR 57
TC 1
Z9 1
U1 75
U2 107
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2024
VL 16
IS 7
AR 2931
DI 10.3390/su16072931
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA NM6J8
UT WOS:001200906300001
OA gold
DA 2025-04-22
ER

PT J
AU Johnson, TG
   Leandro, J
   Ahadzie, DK
AF Johnson, Taylor Glen
   Leandro, Jorge
   Ahadzie, Divine Kwaku
TI Quantifying hazard resilience by modeling infrastructure recovery as a
   resource-constrained project scheduling problem
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID DISASTER RECOVERY; URBAN; VULNERABILITY; EXTENSIONS; SIMULATION;
   VARIANTS; DAMAGE; ACCRA
AB Reliance on infrastructure by individuals, businesses, and institutions creates additional vulnerabilities to the disruptions posed by natural hazards. In order to assess the impacts of natural hazards on the performance of infrastructure, a framework for quantifying resilience is presented. This framework expands upon prior work in the literature to improve the comparability of the resilience metric by proposing a standardized assessment period. With recovery being a central component of assessing resilience, especially in cases of extreme hazards, we develop a recovery model based upon an application of the resource-constrained project scheduling problem (RCPSP). This recovery model offers the opportunity to assess flood resilience across different events and also, theoretically, between different study areas. The resilience framework and recovery model have been applied in a case study to assess the resilience of building infrastructure to flooding hazards in Alajo, a neighborhood in Accra, Ghana. For the three flood events investigated (5-, 50-, and 500-year return periods) and the chosen standardized assessment period (300 d), the "300 d resilience" successfully shows a meaningful decreasing trend (0.94, 0.82, and 0.69) with increasing hazard magnitude. This information is most valuable for identifying the vulnerabilities of building infrastructure, assessing the impacts resulting in reduced performance, coordinating responses to flooding events, and preparing for the subsequent recovery. This framework expands upon prior work in the literature to improve the comparability of the resilience metric by proposing a standardized assessment period, the "n-time resilience".
C1 [Johnson, Taylor Glen; Leandro, Jorge] Univ Siegen, Res Inst Water & Environm, Paul Bonatz Str 9-11, D-57076 Siegen, Germany.
   [Ahadzie, Divine Kwaku] Kwame Nkrumah Univ Sci & Technol, Ctr Settlements Studies, Kumasi, Ghana.
C3 Universitat Siegen; Kwame Nkrumah University Science & Technology
RP Johnson, TG (corresponding author), Univ Siegen, Res Inst Water & Environm, Paul Bonatz Str 9-11, D-57076 Siegen, Germany.
EM taylor.johnson@uni-siegen.de
RI Ahadzie, Divine/L-7493-2019; Leandro, Jorge/M-6558-2014
OI Johnson, Taylor Glen/0000-0002-8371-2788; Leandro,
   Jorge/0000-0002-2193-9741
CR Ahadzie DK, 2022, GEOJOURNAL, V87, P3133, DOI 10.1007/s10708-021-10425-2
   Amoako C, 2015, INT J URBAN SUSTAIN, V7, P109, DOI 10.1080/19463138.2014.984720
   Bai JW, 2009, J STRUCT ENG, V135, P1155, DOI 10.1061/(ASCE)0733-9445(2009)135:10(1155)
   Batjes NH, 1997, SOIL USE MANAGE, V13, P9, DOI 10.1111/j.1475-2743.1997.tb00550.x
   Burton H, 2019, INT J DISAST RISK RE, V37, DOI 10.1016/j.ijdrr.2019.101167
   Burton HV, 2018, EARTHQ SPECTRA, V34, P1763, DOI 10.1193/041017EQS067M
   Chang SE, 2010, DISASTERS, V34, P303, DOI 10.1111/j.1467-7717.2009.01130.x
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Chen L, 2012, FRONT ARCHIT RES, V1, P166, DOI 10.1016/j.foar.2012.03.003
   Cimellaro GP, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000204
   Cimellaro G.P., 2016, Geotechnical, Geological and Earthquake Engineering, V41, DOI [10.1007/978-3-319-30656-8, DOI 10.1007/978-3-319-30656-8]
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Cimellaro GP, 2011, EARTHQ ENG STRUCT D, V40, P1197, DOI 10.1002/eqe.1084
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Disse M., 2020, Water Security, V9, P54, DOI 10.1016/j.wasec.2020.100059
   Eid MS, 2017, J URBAN PLAN DEV, V143, DOI 10.1061/(ASCE)UP.1943-5444.0000349
   Englhardt J, 2019, NAT HAZARD EARTH SYS, V19, P1703, DOI 10.5194/nhess-19-1703-2019
   Engstrom R, 2013, J MAPS, V9, P36, DOI 10.1080/17445647.2013.765366
   European Commission, 2007, Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the Assessment and Management of Flood Risks
   Hartmann S, 2002, NAV RES LOG, V49, P433, DOI 10.1002/nav.10029
   Hartmann S, 2000, EUR J OPER RES, V127, P394, DOI 10.1016/S0377-2217(99)00485-3
   Hartmann S, 2010, EUR J OPER RES, V207, P1, DOI 10.1016/j.ejor.2009.11.005
   Hartmann S, 2022, EUR J OPER RES, V297, P1, DOI 10.1016/j.ejor.2021.05.004
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   Isumi M., 1985, INT J MASS EMERGING, V3, P87
   Kates R., 1977, Reconstruction Following Disaster, P1
   Kolisch R., 1999, Project scheduling: Recent models, algorithms and applications, P147, DOI [DOI 10.1007/978-1-4615-5533-97, 10.1007/978-1-4615-5533-9_7]
   Kreibich H, 2009, NAT HAZARD EARTH SYS, V9, P1679, DOI 10.5194/nhess-9-1679-2009
   Leandro J, 2014, J HYDROL, V517, P250, DOI 10.1016/j.jhydrol.2014.05.020
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Longman M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101075
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P509, DOI 10.5194/nhess-10-509-2010
   Miles S.B., 2003, Urban Disaster Recovery: A Framework and Simulation Model
   Miles SB, 2006, EARTHQ SPECTRA, V22, P439, DOI 10.1193/1.2192847
   Miles SB, 2018, INT J DISAST RISK SC, V9, P519, DOI 10.1007/s13753-018-0202-9
   Miles SB, 2019, NAT HAZARDS REV, V20, DOI 10.1061/(ASCE)NH.1527-6996.0000313
   Miles SB, 2011, CARTOGR GEOGR INF SC, V38, P36, DOI 10.1559/1523040638136
   Nejat A., CONSTR RES C 2012 AM, P2200, DOI [10.1061/9780784412329.221,2012b, DOI 10.1061/9780784412329.221,2012B]
   Nejat A, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000223
   Nejat A, 2012, COMPUT-AIDED CIV INF, V27, P748, DOI 10.1111/j.1467-8667.2012.00787.x
   Rodina L, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1334
   Scherzer S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101107
   Schipper E.L. F., 2015, Overseas Development Institute - Working, P30, DOI DOI 10.13140/RG.2.1.2430.0882
   Sun ZL, 2016, ENVIRON MODELL SOFTW, V86, P56, DOI 10.1016/j.envsoft.2016.09.006
   USDA-NRCS, 1986, Technical Report
   World Bank, 2014, LAND COVER CLASSIFIC
   Zhang Y, 2010, J AM PLANN ASSOC, V76, P5, DOI 10.1080/01944360903294556
NR 53
TC 0
Z9 0
U1 3
U2 9
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PD JUL 4
PY 2024
VL 24
IS 7
BP 2285
EP 2302
DI 10.5194/nhess-24-2285-2024
PG 18
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA XK1I2
UT WOS:001261482900001
OA gold
DA 2025-04-22
ER

PT J
AU Zhou, YL
   Jiang, QW
   Qin, J
AF Zhou, Yingliang
   Jiang, Qiwei
   Qin, Jin
TI Pre-Disaster Retrofit Decisions for Sustainable Transportation Systems
   in Urban Areas
SO SUSTAINABILITY
LA English
DT Article
DE sustainable transportation systems; pre-disaster retrofit; disaster risk
   reduction; bi-level stochastic programming model; simulated annealing
   algorithm
ID ROAD NETWORK; CAPACITY RELIABILITY; INVESTMENT DECISIONS; TRAVEL-TIME;
   RESILIENCE; MODEL; PERCEPTION; REDUCTION
AB A transportation system is an important material base for implementing timely rescue and emergency evacuation after disasters in urban areas. In order to reduce disaster risks and develop sustainable transportation systems, it is important to improve their resilience and ensure their reliability. This paper mainly studies pre-disaster retrofit decisions for sustainable transportation systems in urban areas. As the optimization goal, pre-disaster retrofit costs and post-disaster restoration costs under constraints of post-disaster system connectivity, travel time reliability, and post-disaster link capacity are taken into account to construct a bi-level stochastic programming model. A method based on the simulated annealing algorithm and Frank-Wolfe algorithm is used to solve the problem. The case study shows that the calculation is quick, and the result is reasonable. The study result proves that the method proposed in this paper can provide an effective solution to such problems.
C1 [Zhou, Yingliang; Qin, Jin] Cent S Univ, Sch Traff & Transportat Engn, 22 South Sect Shaoshan Rd, Changsha 410075, Hunan, Peoples R China.
   [Jiang, Qiwei] Cent S Univ, Sch Civil Engn, 22 South Sect Shaoshan Rd, Changsha 410075, Hunan, Peoples R China.
C3 Central South University; Central South University
RP Qin, J (corresponding author), Cent S Univ, Sch Traff & Transportat Engn, 22 South Sect Shaoshan Rd, Changsha 410075, Hunan, Peoples R China.
EM qinjin@csu.edu.cn
OI Qin, Jin/0000-0002-1864-6489
FU Natural Science Foundation of China [71101155]; Natural Science
   Foundation of Hunan Province [2015JJ2184]
FX This research was supported by the Natural Science Foundation of China
   (No. 71101155) and Natural Science Foundation of Hunan Province (No.
   2015JJ2184).
CR Aksu DT, 2014, TRANSPORT RES E-LOG, V61, P56, DOI 10.1016/j.tre.2013.10.009
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], THESIS
   Antronico L, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072061
   Bin L.I., 2008, COMPUT COMMUN, P2963, DOI [10.1061/41039(345)488, DOI 10.1061/41039(345)488]
   Bodoque JM, 2016, J HYDROL, V541, P665, DOI 10.1016/j.jhydrol.2016.02.005
   Chen A, 2002, TRANSPORT RES B-METH, V36, P225, DOI 10.1016/S0191-2615(00)00048-5
   Chen W., 2013, THESIS
   Chu JC, 2016, J INFRASTRUCT SYST, V22, DOI 10.1061/(ASCE)IS.1943-555X.0000264
   Dong X.J., 2012, THESIS
   Dong Y, 2014, J BRIDGE ENG, V19, DOI 10.1061/(ASCE)BE.1943-5592.0000586
   Du LL, 2014, NETW SPAT ECON, V14, P271, DOI 10.1007/s11067-013-9219-1
   Fan YY, 2010, NETW SPAT ECON, V10, P193, DOI 10.1007/s11067-008-9062-y
   Fang X, 2007, THESIS
   FUKUSHIMA M, 1984, TRANSPORT RES B-METH, V18, P169, DOI 10.1016/0191-2615(84)90029-8
   Haghi M, 2017, J CLEAN PROD, V154, P188, DOI 10.1016/j.jclepro.2017.03.102
   Jamieson T, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071970
   JIANG L C, 2007, CHINESE J ENG GEOPHY, V4, P135
   Kim Y, 2008, THESIS
   Kuang AW, 2013, PROCD SOC BEHV, V96, P1818, DOI 10.1016/j.sbspro.2013.08.207
   Leng JQ, 2010, J CENT SOUTH UNIV T, V17, P419, DOI 10.1007/s11771-010-0062-y
   Liu CZ, 2009, COMPUT OPER RES, V36, P1582, DOI 10.1016/j.cor.2008.03.001
   Mu A.D., 2017, THESIS
   Nagae T, 2012, TRANSPORT RES A-POL, V46, P813, DOI 10.1016/j.tra.2012.02.005
   Peeta S, 2010, COMPUT OPER RES, V37, P1708, DOI 10.1016/j.cor.2009.12.006
   Pradhananga R, 2016, COMPUT IND ENG, V91, P229, DOI 10.1016/j.cie.2015.11.010
   QIN J, 2019, SUSTAINABILITY-BASEL, V11, DOI DOI 10.3390/SU11143804
   Rokneddin K, 2013, STRUCT INFRASTRUCT E, V9, P1050, DOI 10.1080/15732479.2011.654230
   Sadik MS, 2018, INT J DISAST RISK SC, V9, P28, DOI 10.1007/s13753-018-0166-9
   Satake K, 2014, GEOSCI LETT, V1, DOI 10.1186/s40562-014-0015-7
   Shigeki U, 2000, CEMENT CONCRETE COMP, V22, P1
   Usuzawa M, 2014, TOHOKU J EXP MED, V233, P43, DOI 10.1620/tjem.233.43
   Van Laarhoven PJ., 1987, Simulated Annealing: Theory and Applications, DOI [10.1007/978-94-015-7744-1, DOI 10.1007/978-94-015-7744-1, DOI 10.1007/BF00047572]
   Xiang MM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114115
   Yan YZ, 2017, TRANSPORT RES E-LOG, V105, P39, DOI 10.1016/j.tre.2017.07.001
   Yi W.Z., 2004, COMPILATION VALUATIO, P58
   Yücel E, 2018, EUR J OPER RES, V269, P406, DOI 10.1016/j.ejor.2018.02.015
   Zhang LX, 2015, J CENT SOUTH UNIV, V22, P4882, DOI 10.1007/s11771-015-3040-6
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhao RJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124409
   Zhejiang Highway Administration, 2009, TECHN SPEC REST HIGH
   Zhou YW, 2010, STRUCT INFRASTRUCT E, V6, P145, DOI 10.1080/15732470802663862
NR 42
TC 5
Z9 5
U1 3
U2 24
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2019
VL 11
IS 15
AR 4044
DI 10.3390/su11154044
PG 18
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA IW8FS
UT WOS:000485230200049
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Brigstocke, J
   Fróes, M
   Cabral, C
   Malanquini, L
   Baptista, G
AF Brigstocke, Julian
   Froes, Maira
   Cabral, Cristina
   Malanquini, Lidiane
   Baptista, Gabriela
TI Biosocial borders: Affective debilitation and resilience among women
   living in a violently bordered favela
SO TRANSACTIONS OF THE INSTITUTE OF BRITISH GEOGRAPHERS
LA English
DT Article
DE biosensing; borders; debilitation; resilience; skin; violence
ID CITY; NEUROSCIENCE; GEOGRAPHIES; FEAR
AB Within emerging fields of research focusing on neuro-urbanism, neuro-geographies, and biosociality, which experiment with using emerging mobile biosensor methods, few if any have used them to research socio-spatial life in communities that suffer high levels of violence and other socio-spatial injustices. Extending non-representational accounts of the body, emotions, and affect, this paper discusses an experimental geography-neuroscience collaboration, working in a favela of Rio de Janeiro to explore the embodied urban emotions and affects of violently bordered urban communities. Emphasising non-representational, corporeal spatial practices in a study of women living in Brazil's favelas, we use electrodermal activity biosensors to propose a novel methodological and analytical approach that focuses on forms of affective debilitation and resilience. Theoretically, we draw on biopolitical theory and border theory to propose a method that avoids oppositions between biopolitical and necropolitical accounts of borders. The aim of the research, conducted in June 2016, is to understand levels of affective debilitation or resilience among women living in the Mare Complex of favelas in Rio de Janeiro. Using a wearable biosensor, we took measures of electrodermal activity of eight women as they undertook one of their routine, everyday journeys within the favela. We also conducted an hour-long qualitative interview with each participant. We find that for all our participants, navigating the favela's violent border spaces subjects their bodies to very high levels of affective and cognitive demand. While some women responded to this with stress reactions that created acute levels of affective debilitation, others responded very strongly, showing exceptionally high levels of affective resilience. Our research highlights the affective labour required of women to co-construct urban borders, and emphasizes their agency and forms of everyday resistance in shaping the favela's affective atmospheres. Combined biosensing (electrodermal activity/galvanic skin response) data and interview data reveal that women living in the favela experience high levels of stress and fear. For one resident this results in affective debilitation (a wounding of the capacity to affect and to be affected). However, other women showed exceptionally high levels of affective resilience and resistance. The research points to the important role of women in co-constructing the embodied borders of the favela.
C1 [Brigstocke, Julian] Cardiff Univ, Sch Geog & Planning, Cardiff, Wales.
   [Froes, Maira] Univ Fed Rio de Janeiro, Inst Tercio Pacitti Comp Applicat & Res, Rio de Janeiro, Brazil.
   [Malanquini, Lidiane] Redes da Mare, Rio de Janeiro, Brazil.
   [Baptista, Gabriela] Translator & interpreter, Rio de Janeiro, Brazil.
C3 Cardiff University; Universidade Federal do Rio de Janeiro
RP Brigstocke, J (corresponding author), Cardiff Univ, Sch Geog & Planning, Cardiff, Wales.
EM brigstockej@cardiff.ac.uk
RI Brigstocke, Julian/O-2265-2019; Brigstocke, Julian/P-6516-2014
OI Brigstocke, Julian/0000-0002-2455-0504
FU Research Councils UK, Arts and Humanities Research Council
   [AH/N008855/1]; Newton Fund [AH/N008855/1] Funding Source: UKRI
FX Research Councils UK, Arts and Humanities Research Council [Grant
   number: AH/N008855/1].
CR Almeida Silvio., 2019, RACISMO ESTRUTURAL
   Alves J.A., 2018, ANTIBACK CITY POLICY
   Amin A, 2020, T I BRIT GEOGR, V45, P862, DOI 10.1111/tran.12386
   Anunciacao D., 2020, SAUDE SOC-SAO PAULO, V29, P1
   Aradau C, 2020, MILLENNIUM-J INT ST, V48, P198, DOI 10.1177/0305829819889139
   Aspinall P, 2015, BRIT J SPORT MED, V49, P272, DOI 10.1136/bjsports-2012-091877
   Barbosa M.I.d.S., 2001, JORNAL REDE FEMINIST, P34
   Beljaars D, 2020, T I BRIT GEOGR, V45, P284, DOI 10.1111/tran.12349
   Berlant Lauren., 2011, CRUEL OPTIMISM
   Bickerstaff K, 2022, T I BRIT GEOGR, V47, P955, DOI 10.1111/tran.12540
   Brighenti AM, 2019, SOC CULT GEOGR, V20, P137, DOI 10.1080/14649365.2017.1355065
   Bueno L.B., 2018, PARA MILITARIZED FAV
   Caldeira TeresaPR., 2000, CITY WALLS
   Caldwell KiaLilly., 2007, NEGRAS BRAZIL RE ENV
   Coelho Maria Claudia, 2012, Sex., Salud Soc. (Rio J.), P10
   Critchley HD, 2002, NEUROSCIENTIST, V8, P132, DOI 10.1177/107385840200800209
   Da Silva L.A. M., 2010, Caderno Crh, V23, P283
   Dahlberg Linda L., 2006, Ciênc. saúde coletiva, V11, P1163
   Dawson ME, 2007, HANDBOOK OF PSYCHOPHYSIOLOGY, 3RD EDITION, P159, DOI 10.1017/cbo9780511546396.007
   de Carvalho Cruz M., 2020, HERE BULLET EATS THE
   de Seixas Filho J.T., 2020, REV VALORE, V5, P5013
   Dewsbury J.D., 2010, The SAGE Handbook of Qualitative Geography, P321
   Ferreira I.F.C.B., 2005, GEOUSP ESPA O TEMPO, V9, P155, DOI DOI 10.11606/ISSN.2179-0892.GEOUSP.2005.73979
   Fitzgerald Des, 2016, Sociol Rev Monogr, V64, P221
   Fitzgerald D, 2015, THEOR CULT SOC, V32, P3, DOI 10.1177/0263276414537319
   Flauzina A.L.P., 2006, THESIS U BRASILIA  B
   Fregonese S, 2017, POLIT GEOGR, V61, P1, DOI 10.1016/j.polgeo.2017.04.009
   Gagen EA, 2015, T I BRIT GEOGR, V40, P140, DOI 10.1111/tran.12048
   Galvao G.M., 2013, REV REDE ENFERM NORD, V1, P42
   Gandy M, 2017, CULT GEOGR, V24, P353, DOI 10.1177/1474474017712995
   Garland-Thomson R, 2011, HYPATIA, V26, P591, DOI 10.1111/j.1527-2001.2011.01206.x
   Gay Robert., 2005, Lucia: Testimonies of a Brazilian Drug Dealer's Woman
   Gonzalez Leni., 2012, Revista
   Graglia AD, 2016, GENDER PLACE CULT, V23, P624, DOI 10.1080/0966369X.2015.1034240
   Hamann-Nielebock E., 2008, REV BRASILEIRA SEGUR, V2, P104
   Hantel M, 2020, SOC TEXT, V38, P97, DOI 10.1215/01642472-8164752
   Jones C, 2023, T I BRIT GEOGR, V48, P249, DOI 10.1111/tran.12567
   Koenig J, 2020, PSYCHOPHYSIOLOGY, V57, DOI 10.1111/psyp.13568
   Kolehmainen M, 2021, EUR J CULT STUD, V24, P448, DOI 10.1177/1367549419886021
   Koskela H., 1997, GENDER PLACE CULT, V4, P301, DOI [https://doi.org/10.1080/09663699725369, DOI 10.1080/09663699725369]
   Krenzinger Miriam., 2021, Revista Trabalho Necessario, V19, P266, DOI DOI 10.22409/TN.V19I38.47366
   Laketa S, 2016, GEOPOLITICS, V21, P661, DOI 10.1080/14650045.2016.1141765
   Levy V.L.d.S., 2021, THESIS U FEDERAL SAN
   Malabou Catherine., 2008, WHAT SHOULD WE OUR B
   Marriott D, 2011, CR-NEW CENTEN REV, V11, P45
   Mbembe A, 2003, PUBLIC CULTURE, V15, P11, DOI 10.1215/08992363-15-1-11
   McIntyre M, 2011, ANTIPODE, V43, P1465, DOI 10.1111/j.1467-8330.2011.00906.x
   McKittrick Katherine., 2006, DEMONIC GROUNDS BLAC
   McKittrick Katherine., 2015, S WYNTER BEING HUMAN, DOI DOI 10.2307/J.CTV11CW0RJ.9
   Meier I, 2020, EMOT SPACE SOC, V37, DOI 10.1016/j.emospa.2020.100702
   Mezzadra SandroBrett Neilson., 2013, Border as Method, or the Multiplication of Labor
   Minca C, 2022, ENVIRON PLAN C-POLIT, V40, P3, DOI 10.1177/2399654420981389
   Nascimento A, 2016, The genocide of the Brazilian Black: process of a masked racismo]
   Naughton L, 2022, T I BRIT GEOGR, V47, P806, DOI 10.1111/tran.12536
   Newman D, 2006, PROG HUM GEOG, V30, P143, DOI 10.1191/0309132506ph599xx
   Osborne T, 2017, APPL GEOGR, V87, P160, DOI 10.1016/j.apgeog.2017.08.006
   Pain R, 2014, PROG HUM GEOG, V38, P531, DOI 10.1177/0309132513512231
   Pain RH, 1997, T I BRIT GEOGR, V22, P231
   Pearce Fred., 2007, SPEED VIOLENCE WHY S
   Philippopoulos-Mihalopoulos Andreas., 2014, Spatial Justice: Body, Lawscape, Atmosphere
   Poplin A, 2020, CARTOGR J, V57, P130, DOI 10.1080/00087041.2019.1660502
   Puar JK, 2017, ANIMA, P1
   Pykett J, 2020, ANN AM ASSOC GEOGR, V110, P1936, DOI 10.1080/24694452.2020.1736982
   Pykett J, 2018, T I BRIT GEOGR, V43, P154, DOI 10.1111/tran.12213
   Reifschneider E.D.B., 2016, THESIS U BRASILIA BR
   Ribas J., 2017, PREJUDICE PEOPLE DIS
   Rocha LD, 2012, CULT DYN, V24, P59, DOI 10.1177/0921374012452811
   Rodman AM, 2019, BIOL PSYCHIAT, V86, P464, DOI 10.1016/j.biopsych.2019.04.033
   Saffioti H.I.B., 2004, GENDER PATRIARCHY VI
   Santiago Marisa Antunes, 2019, Ex aequo, P123, DOI 10.22355/exaequo.2019.40.08
   Sarchiapone M, 2018, BMC PSYCHIATRY, V18, DOI 10.1186/s12888-017-1551-4
   Schliehe A, 2022, T I BRIT GEOGR, V47, P880, DOI 10.1111/tran.12557
   Silva E.S., 2009, CONTEXT POLICE PRACT
   Silva E.S., 2017, OCCUPATION MAR BRAZI
   Silva Luiz Antonio Machado da, 2007, Soc. estado., V22, P545
   Simpson P., 2019, SAGE RES METHODS FDN, DOI [10.4135/9781526421036788541, DOI 10.4135/9781526421036788541]
   Siqueira L.d.A., 2015, THESIS U FEDERAL PER
   Smith ChristenA., 2016, AFRO PARADISE BLACKN
   Smith S, 2016, AREA, V48, P258, DOI 10.1111/area.12247
   Söderström O, 2016, HEALTH PLACE, V42, P104, DOI 10.1016/j.healthplace.2016.09.002
   Sparke M, 2017, SOC SCI MED, V187, P287, DOI 10.1016/j.socscimed.2016.12.027
   Spinney J, 2015, CULT GEOGR, V22, P231, DOI 10.1177/1474474014558988
   Tuck E, 2009, HARVARD EDUC REV, V79, P409, DOI 10.17763/haer.79.3.n0016675661t3n15
   VAN HOUTUM H., 2005, BORDERING SPACE
   Vargas JC, 2010, ETHNIC RACIAL STUD, V33, P611, DOI 10.1080/01419870903325636
   Wilding P, 2012, GENDER POLIT, P1, DOI 10.1057/9781137295927
   Wilding P., 2013, RETHINKING FEMINIST
   Wynter Sylvia., 2015, BLACK KNOWLEDGESBLAC, P184
   Yang XL, 2021, ENVIRON INT, V156, DOI 10.1016/j.envint.2021.106764
   Zaluar Alba, 2009, Rev. bras. Ci. Soc., V24, P9
NR 90
TC 2
Z9 2
U1 0
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0020-2754
EI 1475-5661
J9 T I BRIT GEOGR
JI Trans. Inst. Br. Geogr.
PD SEP
PY 2023
VL 48
IS 3
BP 587
EP 602
DI 10.1111/tran.12601
EA FEB 2023
PG 16
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA N8UH0
UT WOS:000940326800001
OA hybrid, Green Accepted
DA 2025-04-22
ER

PT J
AU de Macedo, MB
   Mendiondo, EM
   Razzolini, MTP
   Goel, NK
   Arya, DS
   Kurian, M
   Nardocci, AC
AF de Macedo, Marina Batalini
   Mendiondo, Eduardo Mario
   Pepe Razzolini, Maria Tereza
   Goel, N. K.
   Arya, Dhyan S.
   Kurian, Mathew
   Nardocci, Adelaide Cassia
TI Multi-stage resilience analysis of the nexus flood-sanitation-public
   health in urban environments: a theoretical framework
SO URBAN WATER JOURNAL
LA English
DT Article
DE Causal loop diagram; water supply; wastewater; sewage; trade-offs
ID RISK-MANAGEMENT; DRINKING-WATER; CLIMATE-CHANGE; INFRASTRUCTURE;
   SYSTEMS; VULNERABILITY; IMPACTS; BRAZIL; DAMAGE
AB Water supply and wastewater systems are essential infrastructure affected by floods. Additional risk is posed in developing countries, where access to sanitation is not universal. Few studies assess the flood risk to the sanitation-health nexus. Therefore, this study aims to present a theoretical and general framework for assessing the resilience of flood-sanitation-public health nexus in urban environments, composed by risk estimation and risk management assessment. The framework was developed from a system analysis approach focusing on central supply systems. Regarding risk assessment, the main vulnerability and exposure factors identified were land use, social vulnerability, coverage of sanitation systems, occurrence of waterborne diseases, number of people affected by floods and intersection with the flood map. From the risk management assessment stage three main typologies of trade-offs and synergies were identified: urban territorial planning versus runoff control, water quality versus sanitation infrastructure and flood management policy versus social behavior.
C1 [de Macedo, Marina Batalini; Pepe Razzolini, Maria Tereza; Nardocci, Adelaide Cassia] Univ Sao Paulo, Sch Publ Hlth, Sao Paulo, SP, Brazil.
   [Mendiondo, Eduardo Mario] Univ Sao Paulo, Sao Carlos Engn Sch, Dept Hydraul & Sanitat, Sao Paulo, SP, Brazil.
   [Goel, N. K.; Arya, Dhyan S.] Indian Inst Technol Roorkee, Dept Hydrol, Roorkee, Uttar Pradesh, India.
   [Kurian, Mathew] Penn State Univ, Water Energy Food Nexus, State Coll, PA USA.
C3 Universidade de Sao Paulo; Universidade de Sao Paulo; Indian Institute
   of Technology System (IIT System); Indian Institute of Technology (IIT)
   - Roorkee; Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park
RP de Macedo, MB (corresponding author), Univ Sao Paulo, Sch Publ Hlth, Sao Paulo, SP, Brazil.
EM marinabatalini@usp.br
RI Razzolini, Maria/I-1346-2012; Nardocci, Adelaide Cassia/GOG-9200-2022;
   Mendiondo, Eduardo Mario/C-7317-2012
OI Nardocci, Adelaide Cassia/0000-0002-0961-4725; Goel,
   Narendra/0000-0002-8196-4738; Mendiondo, Eduardo
   Mario/0000-0003-2319-2773
FU Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)
   [2019/23393-4,2020/15729-0]
FX This work was supported by the Fundacao de Amparo a Pesquisa do Estado
   de Sao Paulo (FAPESP) [2019/23393-4,2020/15729-0].
CR Ahmed MF., 2002, Efficacy of some fungicides and plant extracts against Biploris oryzae, P1
   Allen TR, 2019, PUBLIC WORKS MANAG P, V24, P110, DOI 10.1177/1087724X18798380
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2020, The 17 Goals
   Arrighi C, 2018, ENVIRON MODELL SOFTW, V100, P1, DOI 10.1016/j.envsoft.2017.11.014
   Arrighi C, 2017, NAT HAZARD EARTH SYS, V17, P2109, DOI 10.5194/nhess-17-2109-2017
   Asmus G.F., 2013, REV VITAS VISOES TRA, V3, P6
   Baig S. A., 2012, Journal of Applied Sciences in Environmental Sanitation, V7, P49
   de Macedo MB, 2022, CRIT REV ENV SCI TEC, V52, P2538, DOI 10.1080/10643389.2021.1886889
   Brownson R C, 1999, J Public Health Manag Pract, V5, P86
   Butler D., 2008, BHS 10 NAT HYDR S EX
   CHI-Computational Hydraulics International, 2018, PCSWMM MAN 2292 6062
   Chou FNF, 2010, ADV WATER RESOUR, V33, P146, DOI 10.1016/j.advwatres.2009.10.011
   de Brito MM, 2016, NAT HAZARD EARTH SYS, V16, P1019, DOI 10.5194/nhess-16-1019-2016
   de Macedo MB, 2019, SCI TOTAL ENVIRON, V647, P923, DOI 10.1016/j.scitotenv.2018.08.002
   Debortoli NS, 2017, NAT HAZARDS, V86, P557, DOI 10.1007/s11069-016-2705-2
   Dunworth T., 2008, IDEOLOGY POLITICS GU, P1
   El Bastawesy M, 2017, J AFR EARTH SCI, V136, P312, DOI 10.1016/j.jafrearsci.2017.03.008
   Emanuelsson MAE, 2014, J FLOOD RISK MANAG, V7, P31, DOI 10.1111/jfr3.12028
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Ghodsi SH, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124266
   GoF, 2017, Global Assessment Report on Disaster Risk Reduction 'Risk and Poverty in a Changing Climate: Invest Today for a Safer Tomorrow'
   Grosser Stefan N, 2012, Encyclopedia of the sciences of learning, P2195, DOI [10.1007/978-1-4419-1428-6 _1838, DOI 10.1007/978-1-4419-1428-6_1838]
   Guidolin M, 2016, ENVIRON MODELL SOFTW, V84, P378, DOI 10.1016/j.envsoft.2016.07.008
   Guimaraes RM, 2014, CIENC SAUDE COLETIVA, V19, P3683, DOI 10.1590/1413-81232014199.06432014
   Hall J, 2008, INT J RIVER BASIN MA, V6, P85, DOI 10.1080/15715124.2008.9635339
   Han J, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142491
   Haraldsson HV., 2004, Introduction to system thinking and causal loop diagrams, P3
   Heath TT, 2012, ENVIRON URBAN, V24, P619, DOI 10.1177/0956247812453540
   HEC-Hydrologic Engineering Center, 2018, HEC RAS 5 0 HYDR REF
   HEDERRA R, 1987, DISASTERS, V11, P297, DOI 10.1111/j.1467-7717.1987.tb00653.x
   Howard G, 2010, J WATER CLIM CHANGE, V1, P2, DOI 10.2166/wcc.2010.205
   IBGE, 2018, de risco no Brasil
   Imani M, 2020, WATER SCI TECHNOL, V81, P1420, DOI 10.2166/wst.2019.367
   Keeney R.L., 1993, Decisions with Multiple Objectives: Preferences and Value Trade-Offs
   Kiaghadi A, 2020, NAT HAZARDS, V103, P2711, DOI 10.1007/s11069-020-04099-1
   Kurian M, 2010, PERI-URBAN WATER AND SANITATION SERVICES: POLICY, PLANNING AND METHOD, P1, DOI 10.1007/978-90-481-9425-4
   Kurian M., 2016, Resources, Services and Risks: How Can Data Observatories Bridge the Science-Policy Divide in Environmental Governance?
   Kurian M., 2021, BOUNDARY SCI RE IMAG
   Lama GFC, 2021, WATER-SUI, V13, DOI 10.3390/w13192620
   Luh J, 2017, SCI TOTAL ENVIRON, V592, P334, DOI 10.1016/j.scitotenv.2017.03.084
   Makropoulos CK, 2006, ENVIRON MODELL SOFTW, V21, P69, DOI 10.1016/j.envsoft.2004.10.010
   Manfreda S, 2021, HYDROL EARTH SYST SC, V25, P4231, DOI 10.5194/hess-25-4231-2021
   Marengo J.A., 2010, Mudancas climaticas e eventos extremos no Brasil
   Martinez P, 2018, WATER-SUI, V10, DOI 10.3390/w10050664
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Merz B, 2014, NAT HAZARD EARTH SYS, V14, P1921, DOI 10.5194/nhess-14-1921-2014
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P509, DOI 10.5194/nhess-10-509-2010
   Olyaei MA, 2018, J ENVIRON ENG, V144, DOI 10.1061/(ASCE)EE.1943-7870.0001422
   Pattison I, 2012, PROG PHYS GEOG, V36, P72, DOI 10.1177/0309133311425398
   Pedroni Zio, 2012, OVERVIEW RISK INFORM, P2100
   Perrone A, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124354
   Jacob ACP, 2019, WATER SCI TECHNOL, V79, P2135, DOI 10.2166/wst.2019.212
   Rajib MA, 2012, J WATER CLIM CHANGE, V3, P110, DOI 10.2166/wcc.2012.019
   Rotava J., 2014, THESIS U SAO PAULO
   Rubinato M, 2019, WATER SCI ENG, V12, P274, DOI 10.1016/j.wse.2019.12.004
   Sanders DA, 1997, J ENVIRON ENG-ASCE, V123, P54, DOI 10.1061/(ASCE)0733-9372(1997)123:1(54)
   Schanze J, 2006, NATO SCI S SS IV EAR, V67, P1
   Serre D., 2011, VULNERABILITY UNCERT, P746, DOI [DOI 10.1061/41170(400)91, https://doi.org/10.1061/41170(400)91]
   Sherpa AM, 2014, J WATER CLIM CHANGE, V5, P487, DOI 10.2166/wcc.2014.003
   Simonovic S. P., 2013, British Journal of Environment and Climate Change, V3, P378, DOI 10.9734/BJECC/2013/2504
   Sivapalan M, 2015, WATER RESOUR RES, V51, P6988, DOI 10.1002/2015WR017896
   ten Veldhuis JAE, 2011, J FLOOD RISK MANAG, V4, P281, DOI 10.1111/j.1753-318X.2011.01112.x
   TOKLU A., 2017, INT J ACAD RES ACCOU, V7, P131, DOI DOI 10.6007/IJARAFMS/V7-I1/2588
   United Nation Disaster Risk Reduction (UNDRR), 2021, Terminology
   Vieira I, 2018, J FLOOD RISK MANAG, V11, pS930, DOI 10.1111/jfr3.12285
   Wahabi HA, 2015, BIOMED RES INT, V2015, DOI 10.1155/2015/576953
   Xiao YF, 2017, SCI TOTAL ENVIRON, V599, P1034, DOI 10.1016/j.scitotenv.2017.04.218
NR 68
TC 3
Z9 3
U1 6
U2 35
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-062X
EI 1744-9006
J9 URBAN WATER J
JI Urban Water J.
PD NOV 26
PY 2023
VL 20
IS 10
SI SI
BP 1713
EP 1730
DI 10.1080/1573062X.2022.2047737
EA MAR 2022
PG 18
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA DA2G4
UT WOS:000769856300001
DA 2025-04-22
ER

PT J
AU Radhakrishnan, M
   Löwe, R
   Ashley, RM
   Gersonius, B
   Arnbjerg-Nielsen, K
   Pathirana, A
   Zevenbergen, C
AF Radhakrishnan, Mohanasundar
   Lowe, Roland
   Ashley, Richard M.
   Gersonius, Berry
   Arnbjerg-Nielsen, Karsten
   Pathirana, Assela
   Zevenbergen, Chris
TI Flexible adaptation planning process for urban adaptation in Melbourne,
   Australia
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING
   SUSTAINABILITY
LA English
DT Article
DE climate change; floods & floodworks; infrastructure planning
ID CLIMATE-CHANGE; FLOOD RISK; WATER; DESIGN; OPPORTUNITIES; ARCHITECTURE;
   UNCERTAINTY
AB Resilience towards climate and socio-economic changes can be increased by means of flexible adaptation. In contemporary adaptation planning, building resilience is considered together with objectives such as sustainability, productivity and transformations. An adaptation planning process (termed water-sensitive city adaptation planning process (WSCapp)) may be used to incorporate flexibility or incremental flexible adaptation measures in a comprehensive adaptation strategy, such as when planning water-sensitive cities. This paper applies WSCapp in the context of adapting to urban flooding in Melbourne, Australia, which aspires to become a water-sensitive city. Application of WSCapp - through nine steps of analysis - has helped identify appropriate adaptation measures and economic adaptation pathways. In the case of Melbourne, of the three adaptation measures considered, the combination of rainwater tanks at the household level and the flood-proofing of households was found to be the most effective. WSCapp is fundamental for future work with urban planning and infrastructure consultants and can greatly benefit them with obtaining a more flexible and sustainable flood management response.
C1 [Radhakrishnan, Mohanasundar; Ashley, Richard M.; Gersonius, Berry; Pathirana, Assela; Zevenbergen, Chris] IHE Delft Inst Water Educ, Delft, Netherlands.
   [Radhakrishnan, Mohanasundar; Lowe, Roland; Ashley, Richard M.; Gersonius, Berry; Arnbjerg-Nielsen, Karsten; Pathirana, Assela; Zevenbergen, Chris] Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.
   [Lowe, Roland; Arnbjerg-Nielsen, Karsten] Tech Univ Denmark, DTU Environm Dept Environm Engn, Lyngby, Denmark.
C3 IHE Delft Institute for Water Education; Cooperative Research Centre for
   Water Sensitive Cities (CRCWSC); Technical University of Denmark
RP Radhakrishnan, M (corresponding author), IHE Delft Inst Water Educ, Delft, Netherlands.; Radhakrishnan, M (corresponding author), Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.
EM m.radhakrishnan@un-ihe.org
RI Gersonius, Berry/C-7724-2009; Loewe, Roland/AAQ-2793-2020; Pathirana,
   Assela/B-5189-2011; Arnbjerg-Nielsen, Karsten/J-7792-2012
OI Lowe, Roland/0000-0002-5549-5456; Arnbjerg-Nielsen,
   Karsten/0000-0002-6221-9505; Radhakrishnan,
   Mohanasundar/0000-0003-3785-7713
FU Cooperative Research Centre (CRC) for Water Sensitive Cities, an
   initiative of the Australian government; EPSRC [EP/I029346/1] Funding
   Source: UKRI
FX This technical paper is an outcome of ongoing research funded by the
   Cooperative Research Centre (CRC) for Water Sensitive Cities, an
   initiative of the Australian government. This paper is based on
   collaborative inputs from CRC projects A4.2, A4.3, B4.1 and B4.2; the
   Monash Art, Design and Architecture Faculty; and the City of Port
   Phillip.
CR Aecom, 2012, AD IN URB AR SUPP DE
   [Anonymous], PATHWAYS GENERATOR
   [Anonymous], 2016, Resilient Melbourne
   [Anonymous], 2016, LEARN LIV CHANG CLIM
   Ashley R, 2013, P I CIVIL ENG-MUNIC, V166, P65, DOI 10.1680/muen.12.00046
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   COPP (City of Port Phillip), 2016, AM C111 SBO REV
   Davidsen S, 2017, J HYDROINFORM, V19, P686, DOI 10.2166/hydro.2017.152
   Eckert C, 2004, RES ENG DES, V15, P1, DOI 10.1007/s00163-003-0031-7
   Ferguson BC, 2013, WATER RES, V47, P7300, DOI 10.1016/j.watres.2013.09.045
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   GHD, 2014, ELW CAN CATCHM FLOOD
   Grose M., 2015, Southern Slopes Cluster Rep.
   Gunn A, 2015, WATER SENSITIVE ELWO
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hall JW, 2012, RISK ANAL, V32, P1657, DOI 10.1111/j.1539-6924.2012.01802.x
   Headache Classification Committee of the International Headache Societ y (IHS), 2018, Special Report on Global Warming of 1.5 o C, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1017/CBO9781107415324.004]
   Howe C, 2012, CITIES FUTURE SERIES, P1
   Infrastructure Victoria, 2016, DRAFT OPT BOOK
   Kind JM, 2014, J FLOOD RISK MANAG, V7, P103, DOI 10.1111/jfr3.12026
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   Löwe R, 2018, ENVIRON MODELL SOFTW, V102, P155, DOI 10.1016/j.envsoft.2018.01.008
   Melbourne Water, 2015, FLOOD MAN STRAT PORT
   Moglia M., 2014, SURVEY SAVINGS CONDI
   Nilubon P, 2016, PROCD SOC BEHV, V216, P470, DOI 10.1016/j.sbspro.2015.12.063
   Olesen L., 2017, Flood damage assessment - Literature review and recommended procedure
   Pathirana A, 2018, CLIMATIC CHANGE, V149, P57, DOI 10.1007/s10584-017-2059-0
   Radhakrishnan M, 2018, CITIES, V78, P87, DOI 10.1016/j.cities.2018.01.022
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Rijke J., 2016, ADAPTATION MAINSTREA
   Rodriguez CS, 2016, EXTENDED ATP APPROAC
   Rogers BC, 2015, P 2 WAT SENS CIT C M
   Sallis JF, 2016, LANCET, V388, P2936, DOI 10.1016/S0140-6736(16)30068-X
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Suh ES, 2007, RES ENG DES, V18, P67, DOI 10.1007/s00163-007-0032-z
   Victoria, 2016, ALL THINGS CONSIDERE
   VSG, 2018, PLANN SCHEM ONL PORT
   VSG (Victoria State Government), 2014, PLAN MELB METR PLANN
   Wong THF, 2006, AUSTRALAS J WAT RESO, V10, P213, DOI 10.1080/13241583.2006.11465296
   ZEVENBERGEN C., 2016, FLEXIBILITY ADAPTATI
   Zhang SX, 2012, J HYDROINFORM, V14, P13, DOI 10.2166/hydro.2011.078
NR 41
TC 10
Z9 10
U1 3
U2 37
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 1478-4629
EI 1751-7680
J9 P I CIVIL ENG-ENG SU
JI Proc. Inst. Civ. Eng.-Eng. Sustain.
PD SEP
PY 2019
VL 172
IS 7
BP 393
EP 403
DI 10.1680/jensu.17.00033
PG 11
WC Green & Sustainable Science & Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering
GA IX6MB
UT WOS:000485796600008
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Marcucci, E
   Gatta, V
   Marciani, M
   Cossu, P
AF Marcucci, Edoardo
   Gatta, Valerio
   Marciani, Massimo
   Cossu, Paola
TI Measuring the effects of an urban freight policy package defined via a
   collaborative governance model
SO RESEARCH IN TRANSPORTATION ECONOMICS
LA English
DT Article
DE Governance model; Collaborative logistics; City logistics; Stakeholders
   engagement
ID MULTICRITERIA ANALYSIS; EUROPEAN CITIES; TRANSPORT; PREFERENCES;
   LOGISTICS; RETAILERS; PROVIDERS; STAKEHOLDERS; CITY
AB In recent years the European Commission has increasingly focused its attention on the development of sustainable city logistics by promulgating legislation and formal directives. Despite the efforts made, reducing freight-related congestion and polluting emissions without penalising social and economic activities within cities is still a challenging issue. City logistics measures frequently fail mainly due to a lack of support and commitment from stakeholders. A participatory approach in freight transport planning represents a reasonable and valuable option.
   This paper describes the innovative governance model developed in the city of Turin in Italy that was based on a proactive and effective stakeholders' cooperation for achieving a resilient urban development. The added value of the paper also relates to the real-life assessment of the impacts the non-mandatory policy-mix implemented, based on a collaborative governance model, have on the environment and service delivery thus providing a realistic measure of the viability and effectiveness of the solution proposed. Its voluntary adoption, in fact, produces an increase in commercial vehicles' speed and a substantial reduction in CO2 emissions while also allowing logistic service providers to perform more deliveries. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Marcucci, Edoardo; Gatta, Valerio] Roma Tre Univ, Dept Polit Sci, Via Gabriello Chiabrera 199, I-00145 Rome, Italy.
   [Marciani, Massimo; Cossu, Paola] FIT Consulting Srl, Via Lavinio 15, I-00183 Rome, Italy.
   [Marcucci, Edoardo] Molde Univ Coll, Britvegen 2, N-6410 Molde, Norway.
C3 Roma Tre University; Molde University College
RP Gatta, V (corresponding author), Roma Tre Univ, Dept Polit Sci, Via Gabriello Chiabrera 199, I-00145 Rome, Italy.
EM edoardo.marcucci@uniroma3.it; valerio.gatta@uniroma3.it;
   marciani@fitconsulting.it; cossu@fitconsulting.it
RI marcucci, edoardo/AAJ-6539-2020; MArcucci, Edoardo/AAP-5143-2021
OI Gatta, Valerio/0000-0003-1631-1797
CR ALICE/ERTRAC, 2015, URB FREIGHT RES INN
   [Anonymous], 2013, Adapting Infrastructure to Climate Change
   [Anonymous], 2012, Ital. J. Reg. Sci, DOI DOI 10.3280/SCRE2012-003002
   [Anonymous], 2015, EU Transport in Figures, Statistical Pocketbook
   [Anonymous], 2013, Urban Freight Transport Modelling: An Agent-Specific Approach
   Becker T, 2015, PLANNING THEORY PRAC, V16, P99
   BROWNE M., 2007, International Journal of Logistics: Research and Applications, V10, P205
   Browne M, 2011, IATSS RES, V35, P1, DOI 10.1016/j.iatssr.2011.06.002
   CIVITAS, 2015, SMART CHOIC CIT MAK
   Dablanc L, 2007, TRANSPORT RES A-POL, V41, P280, DOI 10.1016/j.tra.2006.05.005
   Dablanc L, 2008, J ENVIRON LAW, V20, P245, DOI 10.1093/jel/eqn005
   De Brucker K, 2013, EUR J OPER RES, V224, P122, DOI 10.1016/j.ejor.2012.02.021
   European Commission, 2009, COM (2009) 490 final.
   European Commission COM., 2011, ROADM SINGL EUR TRAN
   Gatta V, 2017, EUR TRANSP RES REV, V9, DOI 10.1007/s12544-017-0245-9
   Gatta V, 2016, TRANSPORT REV, V36, P585, DOI 10.1080/01441647.2015.1126385
   Gatta V, 2016, CASE STUD TRANSP POL, V4, P22, DOI 10.1016/j.cstp.2015.08.001
   Gatta V, 2014, TRANSPORT POLICY, V36, P248, DOI 10.1016/j.tranpol.2014.09.007
   Hesse M., 2008, The city as a terminal - the urban context of logistics and freight transport
   Holguín-Veras J, 2014, PROCD SOC BEHV, V125, P36, DOI 10.1016/j.sbspro.2014.01.1454
   Lindholm M, 2013, EUR J TRANSP INFRAST, V13, P20
   Macharis C., 2005, European Transport, V25, P114
   Macharis C, 2010, TRANSPORT POLICY, V17, P303, DOI 10.1016/j.tranpol.2010.02.004
   Marcucci E., 2007, ATT 7 C CIRIAF, P373
   Marcucci E, 2017, TRANSPORT RES A-POL, V102, P142, DOI 10.1016/j.tra.2017.02.001
   Marcucci E, 2017, TRANSPORT RES E-LOG, V103, P69, DOI 10.1016/j.tre.2017.04.006
   Marcucci E, 2016, TRANSP RES PROC, V12, P193, DOI 10.1016/j.trpro.2016.02.058
   Marcucci E, 2015, TRANSPORT RES A-POL, V74, P239, DOI 10.1016/j.tra.2015.02.011
   Marcucci E, 2014, ECOPRODUCTION, P227, DOI 10.1007/978-3-642-31788-0_12
   Marcucci E, 2013, INT J TRANSP ECON, V40, P267
   Marcucci E, 2005, EUR TRANSP, P28
   Pas EI, 1997, TRANSPORT RES B-METH, V31, P265, DOI 10.1016/S0191-2615(96)00024-0
   Roden D. B., 1984, TECHNICAL REPORT SER, V37
   Rowe G, 2000, SCI TECHNOL HUM VAL, V25, P3, DOI 10.1177/016224390002500101
   Valeri E, 2016, ENVIRON SCI POLICY, V65, P65, DOI 10.1016/j.envsci.2016.05.019
   Vieira JGV, 2015, J TRANSP GEOGR, V46, P46, DOI 10.1016/j.jtrangeo.2015.05.007
   Ville S, 2013, EUR PLAN STUD, V21, P1528, DOI 10.1080/09654313.2012.722954
   Wefering F., 2014, Guidelines: Developing and implementing a sustainable urban mobility plan
   Wilcox D., 1994, GUIDE EFFECTIVE PART
   Woods M., 2011, Dialogues in Human Geography, V1, P198
NR 40
TC 49
Z9 49
U1 2
U2 35
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0739-8859
EI 1875-7979
J9 RES TRANSP ECON
JI Res. Transp. Econ.
PD OCT
PY 2017
VL 65
BP 3
EP 9
DI 10.1016/j.retrec.2017.09.001
PG 7
WC Economics; Transportation
WE Social Science Citation Index (SSCI)
SC Business & Economics; Transportation
GA FT2WR
UT WOS:000423007200002
DA 2025-04-22
ER

PT J
AU Lu, ZY
   Yang, Y
   Ou, DL
   Gu, DZ
AF Lu, Zhiying
   Yang, Yang
   Ou, Danlin
   Gu, Dazhi
TI Dynamic changes of food environment: In and out of COVID-19 pandemic
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article; Early Access
DE Food environment; COVID-19; food deserts; optimization algorithm;
   pandemic
ID ACCESS; ACCESSIBILITY; DESERTS; SUPERMARKETS; FRUIT
AB The outbreak of the COVID-19 pandemic has precipitated food crises worldwide, prompting a re-examination of the resilience of the urban food environment. While previous research on the urban food environment has predominantly focused on Western contexts, scant attention has been given to China. This study takes Shenzhen, China as an example to establish a food environment evaluation framework centered on accessibility, diversity, and healthiness factors, aiming to analyze the dynamic changes of the food environment during normal and pandemic periods. By using the GA optimization algorithm, some convenience stores are transformed into self-pickup points (SPPs), which is expected to eliminate the deserts risk areas (DRAs) with low cost and high efficiency. The findings reveal a distinctive "center-periphery" spatial structure characterizing the food environment in Shenzhen, and the improvement of healthiness plays a crucial role in sustaining food oases and ameliorating food swamps. This research provides methods for improving the resilience of the food environment during the pandemic across diverse nations, bolstering the security of urban lifeline systems.
C1 [Lu, Zhiying] Nanjing Univ, Sch Architecture & Urban Planning, 22 Hankou Rd, Nanjing 210008, Peoples R China.
   [Yang, Yang] Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan, Peoples R China.
   [Ou, Danlin; Gu, Dazhi] Hefei Univ Technol, Sch Architecture & Art, Hefei, Peoples R China.
C3 Nanjing University; Huazhong University of Science & Technology; Hefei
   University of Technology
RP Lu, ZY (corresponding author), Nanjing Univ, Sch Architecture & Urban Planning, 22 Hankou Rd, Nanjing 210008, Peoples R China.
EM luzhiying2000@outlook.com
RI Yang, Yang/KDO-9352-2024; lu, zhiying/AAY-7785-2020
CR Abel KC, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101795
   Aggarwal A, 2014, AM J PUBLIC HEALTH, V104, P917, DOI 10.2105/AJPH.2013.301763
   An R., 2020, Public Health Nutrition, V23, p457D473
   [Anonymous], 2023, China Business News
   Apparicio P, 2007, INT J HEALTH GEOGR, V6, DOI 10.1186/1476-072X-6-4
   Bao KY, 2020, APPL GEOGR, V125, DOI 10.1016/j.apgeog.2020.102275
   Breyer B, 2013, HEALTH PLACE, V24, P131, DOI 10.1016/j.healthplace.2013.07.008
   Brown JA, 2021, SSM-POPUL HLTH, V14, DOI 10.1016/j.ssmph.2021.100803
   CAISAN, 2018, Estudo Tecnico Mapeamento dos Desertos Alimentares no Brasil
   CDC, 2023, Census tract level state maps of the modified retail food environment index (mRFEI)
   Chen C, 2022, HABITAT INT, V130, DOI 10.1016/j.habitatint.2022.102708
   China Construction Industry Press, 2023, Planning and design standards for urban residential areas EB/OL
   Cummins S, 2002, BRIT MED J, V325, P436, DOI 10.1136/bmj.325.7361.436
   Friedrich B, 2019, POLITICS GOV, V7, P165, DOI 10.17645/pag.v7i4.2082
   Gao S., 2014, Journal of Shanghai University of Finance and Economics, V16, P36
   Hager ER, 2017, PUBLIC HEALTH NUTR, V20, P2598, DOI 10.1017/S1368980016002123
   Hawkesworth S, 2017, INT J BEHAV NUTR PHY, V14, DOI 10.1186/s12966-017-0581-0
   Honório OS, 2021, INT J EQUITY HEALTH, V20, DOI 10.1186/s12939-021-01501-7
   Ishikawa M, 2016, J NUTR HEALTH AGING, V20, P904, DOI 10.1007/s12603-015-0694-6
   Jin D., 2022, Journal of Urban Planning, V269, P1, DOI [10.16361/j.upf.202203001, DOI 10.16361/J.UPF.202203001]
   Jou C., 2017, Supersizing Urban America: How Inner Cities Got Fast Food with Government help, P134
   Lamichhane AP, 2013, HEALTH PLACE, V23, P157, DOI 10.1016/j.healthplace.2013.07.002
   Li JJ, 2019, FOOD SECUR, V11, P1087, DOI 10.1007/s12571-019-00963-6
   Luan H, 2015, INT J HEALTH GEOGR, V14, DOI 10.1186/s12942-015-0030-8
   Minaker LM, 2016, CAN J PUBLIC HEALTH, V107, pES1, DOI 10.17269/CJPH.107.5632
   Ministry of Natural Resources of the People's Republic of China Technical Guide for community living circle planning, 2023, TD/T 1062-2021 EB/OL
   Nelson RichardL., 1958, SELECTION RETAIL LOC, DOI DOI 10.2173/TBNA.425.P
   Novotny IP, 2021, J RURAL STUD, V81, P170, DOI 10.1016/j.jrurstud.2020.10.022
   Osorio A., 2013, Academy of Marketing Science Review, V3, P217, DOI DOI 10.1007/S13162-013-0049-6
   Peng K., 2022, International Urban Planning International, V37, P58, DOI [10.19830/j.upi.2020.299, DOI 10.19830/J.UPI.2020.299]
   Rose D., 2009, DESERTS NEW ORLEANS
   Shenzhen Municipal People's Government Portal, 2022, Shenzhen urban planning standards and guidelines EB/OL. 2023-04-21
   Wang LQ, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103591
   Wang R, 2012, ITAL J PEDIATR, V38, DOI 10.1186/1824-7288-38-30
   Yan SJ, 2018, DESTECH TRANS SOC, V292, P287
   Yang Hui, 2019, Zhonghua Yufang Yixue Zazhi, V53, P233, DOI 10.3760/cma.j.issn.0253-9624.2019.03.001
   Zhang MY, 2016, T GIS, V20, P79, DOI 10.1111/tgis.12142
   Zhang YJ, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104488
   Zhao Liyun, 2016, Wei Sheng Yan Jiu, V45, P522
NR 39
TC 0
Z9 0
U1 12
U2 16
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 2399-8083
EI 2399-8091
J9 ENVIRON PLAN B-URBAN
JI Env. Plan. B-Urban Anal. City Sci.
PD 2024 AUG 6
PY 2024
DI 10.1177/23998083241272101
EA AUG 2024
PG 18
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA A9U3N
UT WOS:001285912800001
DA 2025-04-22
ER

PT J
AU Dias, SM
   Broto, V
   Cypriano, B
   Ogando, AC
   Gonçalves, J
AF Dias, Sonia Maria
   Broto, Vanesa Castan
   Cypriano, Breno
   Ogando, Ana Carolina
   Goncalves, Juliana
TI The case for a climate bonus: waste pickers' perceptions of climate
   change in Minas Gerais
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE Brazil; cities; climate change; cooperatives; inclusive waste
   management; informal workers; urban resilience; waste pickers
ID MUNICIPAL SOLID-WASTE; MANAGEMENT; BRAZIL; COOPERATIVES; STRUGGLE;
   ECONOMY; HEALTH
AB While the work of waste pickers advances urban sustainability, there has been little focus on how climate change impacts affect them. This paper reports on a pilot study with 61 waste pickers in Minas Gerais, Brazil to understand their perspectives on climate change impacts and actions. It explores how waste pickers experience climate change impacts at home and at work, their adaptive strategies and the specific actions and actors needed to address these impacts.Waste pickers have practical knowledge and experience of climate events. But due to precarious employment and lack of access to services, infrastructure and social support, their responses are improvised and inefficient. They require better institutional support and their proposals must be incorporated into a negotiated approach to urban resilience. Proposals such as the climate bonus - similar to the existing recycling bonus - may help address the structural drivers of vulnerability for waste pickers in Minas Gerais.
C1 [Dias, Sonia Maria; Ogando, Ana Carolina] WIEGO, Women Informal Employment Globalizing & Organizing, Manchester, England.
   [Broto, Vanesa Castan] Univ Sheffield, Urban Inst, Climate Urbanism, Sheffield, England.
   [Broto, Vanesa Castan] Univ Sheffield, Urban Inst, ICOSS, 219 Portobello, Sheffield S10 2TN, England.
   [Goncalves, Juliana] WIEGOs Team Brazil, Belo Horizonte, Brazil.
C3 University of Sheffield; University of Sheffield
RP Broto, V (corresponding author), Univ Sheffield, Urban Inst, ICOSS, 219 Portobello, Sheffield S10 2TN, England.
EM sonia.dias@wiego.org; v.castanbroto@sheffield.ac.uk;
   brenocypriano@gmail.com; anacarolina.ogando@wiego.org;
   Juliana.goncalves@wiego.org
RI Broto, Vanesa/AAF-4485-2021
OI Castan Broto, Vanesa/0000-0002-3175-9859; DIAS, SONIA
   MARIA/0000-0003-0602-7370
FU European Union [804051]; WIEGO
FX The research on which this paper received funding from the European
   Research Council (ERC) under the European Union's Horizon 2020 research
   and innovation programme Grant Agreement No. 804051 - LO-ACT -
   ERC-2018-STG (grant reference 804051) and WIEGO.
CR Adama O, 2014, INT DEV PLANN REV, V36, P155, DOI 10.3828/idpr.2014.11
   Andrade AA, 2020, PROC INST CIV ENG-WA, V173, P28, DOI 10.1680/jwarm.18.00014
   Besen GR, 2016, DISP, V52, P45, DOI 10.1080/02513625.2016.1195583
   Bouvier M., 2021, A report by WIEGO (Women in Informal Employment Globalizing and Organizing)
   Buch R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168925
   Campos MJZ, 2023, ENVIRON PLAN C-POLIT, V41, P351, DOI 10.1177/23996544221118191
   Cardozo MC, 2015, MUNDO SAUDE, V39, P370, DOI 10.15343/0104-7809.20153903370376
   Chen F, 2018, WASTE MANAGE RES, V36, P767, DOI 10.1177/0734242X18766216
   Coletto D, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032337
   Colombijn F, 2017, DECISION, V44, P91, DOI 10.1007/s40622-017-0149-5
   Dias S., 2011, WIEGO Urban Policies Briefing Note No. 8
   Dias S., 2017, Informal Workers and Collective Action: A Global Perspective, P178
   Dias S.M., 1998, International Directory of Solid Waste Management 1998/9, The ISWA Yearbook
   Dias SM., 2020, Research Handbook on Development and the Informal Economy, P263
   Dias SM, 2016, ENVIRON URBAN, V28, P375, DOI 10.1177/0956247816657302
   Dias SoniaMaria., 2016, Informal Economy Monitoring Study Sector Report: Waste Pickers
   Botello-Alvarez JE, 2018, J CLEAN PROD, V182, P485, DOI 10.1016/j.jclepro.2018.02.065
   Federici S., 2020, Revolution at Point Zero: Housework, Reproduction, and Feminist Struggle, P208
   Fergutz O, 2011, ENVIRON URBAN, V23, P597, DOI 10.1177/0956247811418742
   Fidelis R, 2020, RESOUR CONSERV RECY, V154, DOI 10.1016/j.resconrec.2019.104594
   Fidelis R, 2018, RESOUR CONSERV RECY, V130, P152, DOI 10.1016/j.resconrec.2017.12.002
   Furedy C., 1990, Social Aspects of Solid Waste Recovery in Asian Cities
   Fuss M, 2018, J CLEAN PROD, V178, P655, DOI 10.1016/j.jclepro.2018.01.051
   Gutberlet J, 2016, WIT TRANS ECOL ENVIR, V204, P57, DOI 10.2495/SC160061
   Gutberlet J., 2020, Worldwide Waste: Journal of Interdisciplinary Studies, V3, DOI [10.5334/wwwj.50, DOI 10.5334/WWWJ.50]
   Gutberlet J, 2017, INT J OCCUP ENV HEAL, V23, P299, DOI 10.1080/10773525.2018.1484996
   Hartmann C, 2022, LOCAL ENVIRON, V27, P1272, DOI 10.1080/13549839.2022.2040464
   Hayami Y, 2006, J DEV STUD, V42, P41, DOI 10.1080/00220380500356662
   King MF, 2013, WASTE MANAGE, V33, P2771, DOI 10.1016/j.wasman.2013.07.031
   Marello M, 2018, LAT AM PERSPECT, V45, P108, DOI 10.1177/0094582X17726083
   Mattos F., 2023, Sustainability, VVol 15, P2
   Melamed, 2015, CRIT ETHN STUD, V1, P76, DOI 10.5749/jcritethnstud.1.1.0076
   Michael K, 2019, CLIM DEV, V11, P667, DOI 10.1080/17565529.2018.1531745
   Minas Gerais, 2023, Plano estadual de acao climatica
   Miranda ITP, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410513
   Zon JLN, 2020, WASTE MANAGE, V118, P219, DOI 10.1016/j.wasman.2020.08.023
   Parra F, 2020, ANTI-TRAFFICK RES, P122, DOI 10.14197/atr.201220157
   Parsons S., 2019, Urban transformations: In Pune, India, waste pickers go from trash to treasure
   Bulla JP, 2021, LOCAL ENVIRON, V26, P1299, DOI 10.1080/13549839.2021.1974368
   Rutkowski JE, 2020, DETRITUS, V13, P29, DOI 10.31025/2611-4135/2020.14037
   Rutkowski JE, 2015, WASTE MANAGE RES, V33, P1084, DOI 10.1177/0734242X15607424
   Samson M., 2009, Refusing to be Cast Aside: Waste Pickers Organising Around the World WIEGO
   Scheinberg Anne., 2012, WOMEN INFORMAL EMPLO
   Severo A L F., 2017, Revista de Dereito da Cidade, VVol 9, P2002
   Shibata T, 2015, SCI TOTAL ENVIRON, V536, P408, DOI 10.1016/j.scitotenv.2015.05.137
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Campos HKT, 2014, RESOUR CONSERV RECY, V85, P130, DOI 10.1016/j.resconrec.2013.10.017
   Tucker JL, 2020, ONE EARTH, V3, P290, DOI 10.1016/j.oneear.2020.08.012
   Véras R, 2014, REV CRIT CIENC SOC, P111, DOI 10.4000/rccs.5559
   Vergara SE, 2016, J IND ECOL, V20, P107, DOI 10.1111/jiec.12257
   WIEGO, 2021, Resources & AdvisorGroup, V28
   Williams J, 2019, URBAN STUD, V56, P2746, DOI 10.1177/0042098018806133
   Wittmer J, 2021, WORLD DEV, V140, DOI 10.1016/j.worlddev.2020.105253
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 54
TC 0
Z9 0
U1 3
U2 9
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD APR
PY 2024
VL 36
IS 1
BP 93
EP 111
DI 10.1177/09562478241230813
PG 19
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA NQ7D8
UT WOS:001201976400012
OA hybrid
DA 2025-04-22
ER

PT J
AU Jones, KB
   James, M
   Mastor, RA
AF Jones, Kevin B.
   James, Mark
   Mastor, Roxana-Andreea
TI Securing our energy future: three international perspectives on
   microgrids and distributed renewables as a path toward resilient
   communities
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Microgrid; energy resilience; distributed generation; smart grid;
   resilient communities; secure energy future
AB This paper will examine three diverse microgrid cases in the US, Canada, and the European Union. The paper will explore how microgrids can help build resilient communities, facilitate distributed renewable energy, and ultimately lead to a secure energy future. The cases will include both urban and remote settings and compare the social, legal, and policy lessons learned from these cases to advance microgrid policy for long-term community resilience.
C1 [Jones, Kevin B.; James, Mark; Mastor, Roxana-Andreea] Vermont Law Sch, Inst Energy & Environm, South Royalton, VT 05068 USA.
C3 Vermont Law & Graduate School
RP Jones, KB (corresponding author), Vermont Law Sch, Inst Energy & Environm, South Royalton, VT 05068 USA.
EM kbjones@vermontlaw.edu
CR Aliabadi AA, 2015, ATMOS CHEM PHYS, V15, P2651, DOI 10.5194/acp-15-2651-2015
   [Anonymous], 2015, CBC News
   [Anonymous], 2012, INT MICROGRID ASSESS
   Baring-Gould I., 2007, NRELCP50042401
   Bayindir R., 2014, INT C REN EN RES APP
   Das I., 2016, FUELING THE ARCTIC
   Energy and Resource Solutions, 2016, NY PRIZ STAG 1 FEAS
   Environmental Protection Agency, 2012, BLACK CARB ITS EFF C
   Environmental Protection Agency, 2002, HLTH ASS DIES ENG EX
   European Technology Platform on Smartgrids (ETP SG), 2015, EUR TECHN PLATF SMAR
   Evans M, 2015, ATMOS CHEM PHYS, V15, P8349, DOI 10.5194/acp-15-8349-2015
   Exec. Office of the President, 2013, EC BEN INCR EL GRID, P8
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Government of Canada, 2011, STAT REM OFF GRID CO
   Government of Northwest Territories, 2013, NW TERR EN ACT PLAN
   Government of Nunavut, 2007, IKUMMATIIT GOVT NUNA
   Government of Nunavut, 2016, REN EN WIND RES
   Government of NWT, 2015, SPILLS NW TERR 2014
   Government of Yukon, 2015, EN STRAT YUK IND POW
   Government of Yukon, 2013, EN STRAT YUK MICR GE
   Governments of the NWT Nunavut and Yukon, 2011, REN EN INV NO VIS BU
   Hu J., 2015, INT J CONTROL AUTOM, V8, P65, DOI DOI 10.14257/ijca.2015.8.6.08
   IEA Wind, 2012, STAT OF THE ART WIND
   Jones KB, 2014, SMARTER GREENER GRID
   Jones Kevin B., 2014, Fordham Urban Law Journal, V41, P1695
   Kariniotakis G., 2013, MICROGRIDS ARCHITECT, P206
   Kwasinski A, 2016, MICROGRIDS AND OTHER LOCAL AREA POWER AND ENERGY SYSTEMS, P1, DOI 10.1017/CBO9781139002998
   Li Q, 2014, J MOD POWER SYST CLE, V2, P206, DOI 10.1007/s40565-014-0069-8
   McDonald NC, 2013, ARCTIC, V66, P94
   McDonald NC, 2012, ARCTIC, V65, P465
   NASA Earth Observatory, 2003, EV ARCT WARM
   National Round Table on the Environment and the Economy, 2009, TRUE N AD INFR CLIM
   New York Research and Development Authority, 2010, MICR ASS VAL OPP BAR
   Northern Climate Exchange, 2002, EFF WARM WINT NWT IN
   Northwest Territories Power Corporation, 2016, RES EL RAT
   NYC, 2013, CITY NEW YORK PLANYC
   Overeem I, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048681
   Pyper J., 2013, SCI AM
   Quilliq Energy Corporation, 2016, UT RAT IQAL
   Sanz J.F., 2014, RENEW ENERGY POWER Q, V1, P874, DOI [10.24084/repqj12.516, DOI 10.24084/REPQJ12.516]
   Schnitzer D, 2014, Microgrids for Rural Electrification: A critical review of best practices based on seven case studies
   Senate Committee, 2015, POW CAN TERR
   Senate Committee, 2014, P STAND SEN COMM EN
   Simoes MG, 2011, IEEE ENER CONV, P383, DOI 10.1109/ECCE.2011.6063795
   Smith M., 2013, IEEE POWER ENERGY MA
   Stephenson SR, 2011, NAT CLIM CHANGE, V1, P156, DOI 10.1038/NCLIMATE1120
   U. S. Dep't of Energy, 2013, US EN SECT VULN CLIM
   Ustun TS, 2011, RENEW SUST ENERG REV, V15, P4030, DOI 10.1016/j.rser.2011.07.033
   vonMeier A., 2006, Electric Power Systems: A Conceptual Introduction
   Weis TM, 2008, ENERG POLICY, V36, P1611, DOI 10.1016/j.enpol.2008.01.004
   Wouters C., 2015, ROLE MICROGRIDS FUTU, P1
   YE Z., 2005, FACILITY MICROGRIDS
   Yukon Electrical Company Limited & Yukon Energy, 2011, RAT SCHED
   Zhang Z., 2011, SMART GRID AM EUR 1, V46, P47
   Zieliski J. S., 2016, MICROGRIDS RESILIENC
NR 55
TC 9
Z9 13
U1 0
U2 23
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1747-7891
EI 1878-0059
J9 ENVIRON HAZARDS-UK
JI Environ. Hazards
PY 2017
VL 16
IS 2
SI SI
BP 99
EP 115
DI 10.1080/17477891.2016.1257974
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ET1ER
UT WOS:000400009900002
DA 2025-04-22
ER

PT J
AU Tomlinson, B
   Sastre, S
   Blasco, D
   Guillén, J
AF Tomlinson, Ben
   Sastre, Sergio
   Blasco, Dolors
   Guillen, Jorge
TI The Systems Approach Framework as a Complementary Methodology of
   Adaptive Management: a Case Study in the Urban Beaches of Barcelona
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptive management; Barcelona; coastal management; Spain; Systems
   Approach Framework; urban beach
ID SOCIAL-ECOLOGICAL SYSTEMS; STAKEHOLDER ANALYSIS; RESILIENCE; CAPACITY;
   WORLD
AB The Systems Approach Framework is a methodological framework designed to enhance the efficacy of human decision-making processes within social-ecological systems with regard to sustainability. The objective of resilience adaptive management is to either maintain the system within the current regime such that the desired ecosystem goods and services continue to be delivered, or to move the system phase to a preferred regime. Although the objectives of the two frameworks are not exactly the same, there are considerable complementarities between them. Through application of the Systems Approach Framework in a case study regarding the urban beaches of Barcelona, Spain, we present some of the main findings revealed during the model construction and stakeholder participatory process. Additionally, we demonstrate that the Systems Approach Framework could be considered a useful step-by-step methodological guide that employs many of the vital components and processes of adaptive management.
C1 [Tomlinson, Ben; Sastre, Sergio; Blasco, Dolors; Guillen, Jorge] Inst Ciencies Mar CSIC, Barcelona, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro
   Mediterraneo de Investigaciones Marinas y Ambientales (CMIMA); CSIC -
   Instituto de Ciencias del Mar (ICM)
RP Tomlinson, B (corresponding author), Inst Ciencies Mar CSIC, Barcelona, Spain.
RI ; Guillen, Jorge/E-6564-2010
OI Sastre, Sergio/0000-0002-7444-7425; Guillen, Jorge/0000-0001-7162-8135
CR [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], 2002, Official Journal of the European Communities, VL148, P24
   [Anonymous], 1978, ADAPTIVE ENV ASSESSM
   Bas C., 1955, La pesca en Espana y Cataluna
   Brenner J, 2010, OCEAN COAST MANAGE, V53, P27, DOI 10.1016/j.ocecoaman.2009.10.008
   CEBALLOS D, 2008, ANALES EC APLICADA, V22
   Checkland P.Scholes., 1990, SOFT SYSTEMS METHODO
   Commision Directive 2000/60/EC, 2000, OFFICIAL J EUROPEA L, VL327, P1
   COSTANZA R, 1998, ECOLOGICAL EC, V31, P199
   Costanza R, 2007, ECOL ECON, V63, P249, DOI 10.1016/j.ecolecon.2007.03.002
   DeRuyck MC, 1997, J COASTAL RES, V13, P822
   Ernstson H, 2008, ECOL SOC, V13
   EU Bathing Water Directive, 2006, OFFICIAL J EUROPEA L, VL 64, P37
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gunderson L., 2008, Encyclopedia of Ecology, P55, DOI 10.1016/B978-008045405-4.00635-2
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Holling CS, 2001, PANARCHY, P25
   Hopkins TS, 2011, ECOL SOC, V16, DOI 10.5751/ES-04553-160425
   King G, 2003, COAST MANAGE, V31, P137, DOI 10.1080/08920750390168354
   Martínez ML, 2007, ECOL ECON, V63, P254, DOI 10.1016/j.ecolecon.2006.10.022
   McKenna J, 2006, AREA, V38, P421, DOI 10.1111/j.1475-4762.2006.00708.x
   *MILL EC ASS, 2005, EC HUM WELL BEING CU, P533
   Nicholls RJ, 1996, OCEAN COAST MANAGE, V31, P105, DOI 10.1016/S0964-5691(96)00037-3
   NOVOA M, 2005, EVOLUCION COSTA BARC
   OECD, 2001, The Well-Being of Nations. The Role of Human and Social Capital
   Ostrom E., 2003, FDN SOCIAL CAPITAL
   Prell C, 2009, SOC NATUR RESOUR, V22, P501, DOI 10.1080/08941920802199202
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   *RES ALL, 2002, AD MAN
   Resilience Alliance, 2007, Assessing Resilience in SocialEcological Systems: A Workbook for Scientists
   Roig E., 1927, PESCA CATALUNYA
   *SPICOSA, 2011, SPICOSA PORT
   *SPICOSA, 2011, ONL DAT PORT
   *SPICOSA, 2011, SYST APPR FRAM HDB
   Tett P, 2011, SUSTAINING COASTAL ZONE SYSTEMS, P1
   Von Bertalanffy L., 2015, General Systems Theory: Foundations, development, applications, V18th
   Walker B, 2002, CONSERV ECOL, V6
   Walters C. J., 1986, ADAPTIVE MANAGEMENT
   Ward F.A., 2000, VALUING NATURE TRAVE
   Westley F, 2001, PANARCHY, P333
   Zakharenka A, 2021, Importance of Roadside Tree Planting in Bangladesh
NR 44
TC 15
Z9 16
U1 1
U2 30
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2011
VL 16
IS 4
AR 28
DI 10.5751/ES-04484-160428
PG 13
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 872WS
UT WOS:000298841900024
OA Green Published, gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Deveci, M
   Gokasar, I
   Mishra, AR
   Rani, P
   Ye, Z
AF Deveci, Muhammet
   Gokasar, Ilgin
   Mishra, Arunodaya Raj
   Rani, Pratibha
   Ye, Zhen
TI Evaluation of climate change-resilient transportation alternatives using
   fuzzy Hamacher aggregation operators based group decision-making model
SO ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
LA English
DT Article
DE Resilient transportation; Climate change; Fermatean fuzzy set; Hamacher
   aggregation operators; MEREC; Rank sum (RS); MULTIMOORA
ID MULTIMOORA; WEATHER; IMPACT
AB Climate change has become one of the most significant threats that all countries face. The extent of the effects of climate change will increase if the pace is not altered. Transportation systems are very important considering the order and organization of cities. Therefore, transportation networks must be resilient to the effects of climate change. In this study, three different alternatives to climate change resilient transportation networks, which are climate change resistant design of transportation facilities, alternative routes and strategies for the transportation systems, and climate preparedness are defined. In this study, these alternatives are assessed and prioritized under twelve sub-criteria using the decision-making model. By combining the interval -valued Fermatean fuzzy Hamacher aggregation operators with three decision-making methods including the MEREC (Method using the removal effects of criteria), RS (Rank sum), and the MULTIMOORA (Multi-attribute multi-objective optimization based on the ratio analysis), we develop a novel hybrid model for handling decision-making problems. The practicability and effectiveness of the presented model are tested with a case study. The results of the study show that operationally preparing for the effects of climate change is the best choice out of the ones that were given.
C1 [Deveci, Muhammet] UCL, Bartlett Sch Sustainable Construct, London WC1E 6BT, England.
   [Deveci, Muhammet] Natl Def Univ, Turkish Naval Acad, Dept Ind Engn, TR-34940 Istanbul, Turkiye.
   [Gokasar, Ilgin] Bogazici Univ, Dept Civil Engn, TR-34342 Istanbul, Turkiye.
   [Mishra, Arunodaya Raj] Govt Coll Raigaon, Dept Math, Satna 485441, Madhya Pradesh, India.
   [Rani, Pratibha] Koneru Lakshmaiah Educ Fdn, Dept Engn Math, Vaddeswaram 522302, Andhra Pradesh, India.
   [Ye, Zhen] Univ Coll London UCL, Bartlett Sch Construct & Project Management, London WC1E 6BT, England.
   [Ye, Zhen] Xiamen Univ, Sch Econ, Fujian 361005, Peoples R China.
C3 University of London; University College London; Bogazici University;
   Koneru Lakshmaiah Education Foundation (K L Deemed to be University);
   University of London; University College London; Xiamen University
RP Mishra, AR (corresponding author), Govt Coll Raigaon, Dept Math, Satna 485441, Madhya Pradesh, India.
EM muhammetdeveci@gmail.com; ilgin.gokasar@boun.edu.tr;
   arunodaya87@outlook.com; pratibha138@gmail.com; p.ye@ucl.ac.uk
RI Rani, Pratibha/A-5308-2018; Mishra, Arunodaya/LKL-3124-2024; YE,
   Zhen/IYS-1774-2023; MISHRA, ARUNODAYA RAJ/P-1562-2017; GOKASAR,
   ILGIN/N-7044-2016; Deveci, Muhammet/V-8347-2017
OI MISHRA, ARUNODAYA RAJ/0000-0001-9949-5813; GOKASAR,
   ILGIN/0000-0001-9896-9220; Ye, Zhen/0000-0003-0362-6837; Deveci,
   Muhammet/0000-0002-3712-976X
CR Alabbad Y, 2021, SCI TOTAL ENVIRON, V793, DOI 10.1016/j.scitotenv.2021.148476
   [Anonymous], 2011, LANDSCAPE CLIMATE FI
   [Anonymous], 2013, GLOSSARY CLIMATE FIN
   [Anonymous], 2008, 290 NRC
   Bagaini Annamaria, 2020, Electricity Journal, V33, P24, DOI 10.1016/j.tej.2020.106820
   Baidya J, 2021, COMPLEX INTELL SYST, V7, P2503, DOI 10.1007/s40747-021-00413-x
   Brauers WKM, 2010, TECHNOL ECON DEV ECO, V16, P5, DOI 10.3846/tede.2010.01
   Chen YF, 2021, APPL SOFT COMPUT, V105, DOI 10.1016/j.asoc.2021.107222
   Christodoulou A., 2018, Impacts of Climate Change on Transport: A Focus on Airports, Seaports and Inland Waterways
   Dave R, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac2d67
   Dombi H., 1978, Uber Logische Verknunpfungenn Unssharfer Aussagen Und Deren Zugenhorige Bewertungsfunktione, V3, P276
   Ghanbari M, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002055
   Ghorbanzadeh M, 2022, ENVIRON HAZARDS-UK, V21, P199, DOI 10.1080/17477891.2021.1933885
   Gopalakrishnan K, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P1, DOI 10.1007/978-3-642-11405-2
   Gough K. V., 2019, Vulnerability to extreme weather events in cities: Implications for infrastructure and livelihoods
   Hadi A, 2021, INT J INTELL SYST, V36, P3464, DOI 10.1002/int.22423
   Hafezalkotob A, 2019, INFORM FUSION, V51, P145, DOI 10.1016/j.inffus.2018.12.002
   Havko J, 2017, PROCEDIA ENGINEER, V192, P307, DOI 10.1016/j.proeng.2017.06.053
   He J, 2021, TECHNOL FORECAST SOC, V171, DOI 10.1016/j.techfore.2021.120955
   Hsiao SC, 2021, SCI TOTAL ENVIRON, V764, DOI 10.1016/j.scitotenv.2020.144439
   Jaroszweski D, 2014, PROG PHYS GEOG, V38, P448, DOI 10.1177/0309133314538741
   Jaroszweski D, 2010, J TRANSP GEOGR, V18, P331, DOI 10.1016/j.jtrangeo.2009.07.005
   Jasim Ihsan Abbas, 2021, IOP Conference Series: Materials Science and Engineering, V1090, DOI 10.1088/1757-899X/1090/1/012034
   Jeevaraj S, 2021, EXPERT SYST APPL, V185, DOI 10.1016/j.eswa.2021.115613
   Keshavarz-Ghorabaee M, 2021, SYMMETRY-BASEL, V13, DOI 10.3390/sym13040525
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Kwan SC, 2016, SUSTAIN CITIES SOC, V22, P11, DOI 10.1016/j.scs.2016.01.004
   Langlois-Bertrand S, 2015, ENERGY STRATEG REV, V8, P30, DOI 10.1016/j.esr.2015.08.001
   Lempert R.J., 2021, A DMDU Guidebook for Transportation Planning Under a Changing Climate, DOI [10.18235/0003042, DOI 10.18235/0003042]
   Liu PD, 2021, APPL SOFT COMPUT, V99, DOI 10.1016/j.asoc.2020.106893
   Liu PD, 2018, INT J INTELL SYST, V33, P259, DOI 10.1002/int.21927
   Luo SH, 2022, EXPERT SYST APPL, V189, DOI 10.1016/j.eswa.2021.116090
   Malhi GS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031318
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   Meyer M.D., 2008, DESIGN STANDARDS US
   Meyer MD, 2011, J TRANSP ENG, V137, P393, DOI 10.1061/(ASCE)TE.1943-5436.0000108
   Mills B., 2002, WORKSHOP, P1
   Narayanamoorthy S, 2020, J CLEAN PROD, V275, DOI 10.1016/j.jclepro.2020.122587
   OHCHR, 2015, UNDERSTANDING HUMAN
   Parra Gema., 2020, Conceptualizing Environmental Citizenship for 21st Century Education, P149, DOI [10.1007/978-3-030-20249-1, DOI 10.1007/978-3-030-20249-1, 10.1007/978-3-030-20249-110, DOI 10.1007/978-3-030-20249-1_10]
   Praharaj S, 2021, NAT HAZARDS, V107, P2363, DOI 10.1007/s11069-020-04427-5
   Rani P, 2022, NEURAL COMPUT APPL, DOI [10.1007/s00521-021-06782-1.0123456789, DOI 10.1007/S00521-021-06782-1.0123456789]
   Rani P, 2022, COMPUT IND ENG, V169, DOI 10.1016/j.cie.2022.108165
   Rani P, 2022, INT J INTELL SYST, V37, P2612, DOI 10.1002/int.22787
   Rani P, 2021, EXPERT SYST APPL, V182, DOI 10.1016/j.eswa.2021.115267
   Saraji MK, 2022, ARTIF INTELL REV, V55, P181, DOI 10.1007/s10462-021-10029-9
   Sergi D, 2022, J INTELL FUZZY SYST, V42, P365, DOI 10.3233/JIFS-219196
   Shang ZL, 2022, EXPERT SYST APPL, V195, DOI 10.1016/j.eswa.2022.116567
   Sorrell S., 2004, EC ENERGY EFFICIENCY
   Stern DI, 2014, CLIMATIC CHANGE, V122, P257, DOI 10.1007/s10584-013-1007-x
   STILLWELL WG, 1981, ORGAN BEHAV HUM PERF, V28, P62, DOI 10.1016/0030-5073(81)90015-5
   Sun WJ, 2020, SUSTAIN RESIL INFRAS, V5, P168, DOI 10.1080/23789689.2018.1448663
   Thaduri A., 2021, Maintenance, Reliability and Condition Monitoring (MRCM), V1, P52, DOI [10.21595/mrcm.2021.22136, DOI 10.21595/MRCM.2021.22136]
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Wang TN, 2020, TRANSPORT RES D-TR E, V88, DOI 10.1016/j.trd.2020.102553
   Wilby R.L., 2007, BUILD ENVIRON, V33, P31, DOI 10.2148/benv.33.1.31
   Zhong YR, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0222007
   Zimmerman R., 2003, POTENTIAL IMPACTS CL, P91
NR 60
TC 41
Z9 41
U1 23
U2 81
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0952-1976
EI 1873-6769
J9 ENG APPL ARTIF INTEL
JI Eng. Appl. Artif. Intell.
PD MAR
PY 2023
VL 119
AR 105824
DI 10.1016/j.engappai.2023.105824
EA JAN 2023
PG 17
WC Automation & Control Systems; Computer Science, Artificial Intelligence;
   Engineering, Multidisciplinary; Engineering, Electrical & Electronic
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Automation & Control Systems; Computer Science; Engineering
GA 8L3UN
UT WOS:000923710100001
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Andal, AG
AF Andal, Aireen Grace
TI Children and urban vitalism amidst transitions: Perspectives from
   slum-dwelling children in the Philippines
SO CITIES
LA English
DT Article
DE Children; Urban transitions; Urban vitalism; Informalities; Philippines
ID CITIES; CITY
AB This work rethinks the notion of urban vitalism-viewing cities as a collection of interwoven relationships constantly in flux-from children's perspectives. This is accomplished by firstly empirically examining children's perceptions of the changes in their urban slum environments and secondly, by theoretically enriching our understanding of urban vitalism by linking urban transitions to the discourses that inform urban vitalism-smart, inclusive, resilient, and sustainable cities. The paper focuses on the perspectives of slum-dwelling children (9-12 years old) in San Jose del Monte City (Philippines), a city subject for conversion towards being "highly-urbanised". Through remote semi-structured conversations, children shared insights about the transformations of their urban spaces. Two key discussion points emerged from this study: firstly, urban transitions do not necessarily translate to vitalism for children as spaces important to children become subjects of displacement in urban transition; secondly, that the potentials of urban vitalism can be hampered if transitions detach young members of society from planning. Insights from this work suggest that children create their own urban imaginaries of a vital city, which contribute to a kaleidoscope of sources of urban vitalism. The paper concludes by reflecting on the implications of child-oriented urban vitalism for urban studies.
C1 [Andal, Aireen Grace] Macquarie Univ, Sydney, NSW 2109, Australia.
C3 Macquarie University
RP Andal, AG (corresponding author), Macquarie Univ, Level 4,25B Wallys Walk,Wallumattagal Campus, Sydney, NSW 2109, Australia.
EM aireengrace.andal@hdr.mq.edu.au
RI Andal, Aireen Grace/T-1632-2019
OI Andal, Aireen Grace/0000-0002-7487-4742
CR Adams D, 2007, TOWN PLAN REV, V78, P671, DOI 10.3828/tpr.78.6.1
   Adler K, 2019, INT J QUAL METH, V18, DOI 10.1177/1609406919887274
   Aitken StuartC., 2001, GEOGRAPHIES YOUNG PE
   Andal AG, 2022, REG STUD REG SCI, V9, P486, DOI 10.1080/21681376.2022.2091472
   Barthes Roland., 1982, EMPIRE SIGNS
   Berlant Laura., 2008, FEMALE COMPLAINT UNF
   CHRISTENSEN Pia., 2003, Children in the City: Home, Neighbourhood and Community
   City Planning And Development, 2017, COMPR DEV PLAN 2017
   Corsaro WA, 2009, PALGRAVE HANDBOOK OF CHILDHOOD STUDIES, P301
   de Certeau M., 1984, PRACTICE EVERYDAY LI
   Dela Cruz R, 2020, 25 PH CITIES CHOSEN
   Derr V, 2013, BUILDINGS, V3, P482, DOI 10.3390/buildings3030482
   Douglass M., 1993, JAPANESE CITIES WORL, P83
   Gill T., 2007, NO FEAR GROWING RISK
   Globe Philippines, 2020, SAN JOSE MONTE BECOM
   HARAWAY D, 1988, FEMINIST STUD, V14, P575, DOI 10.2307/3178066
   Hau CS, 2020, INTER-ASIA CULT STUD, V21, P127, DOI 10.1080/14649373.2020.1720396
   Inroy N.M., 2000, Space and Polity, V4, P23, DOI DOI 10.1080/713697747
   Irwin LG, 2005, QUAL HEALTH RES, V15, P821, DOI 10.1177/1049732304273862
   Jansson M, 2015, LOCAL ENVIRON, V20, P165, DOI 10.1080/13549839.2013.857646
   Jhagroe S., 2016, Urban transition politics. How struggles for sustainability are (re)making urban space
   Kanbur R., 2013, Asian Development Review, V30, P131, DOI 10.2139/ssrn.2260109
   Katz C., 2004, GROWING GLOBAL EC RE
   Kleine D., 2014, CHILDREN ICT DEV CAP
   Kraftl P, 2013, GEOFORUM, V50, P191, DOI 10.1016/j.geoforum.2013.08.009
   Kummitha RKR, 2017, CITIES, V67, P43, DOI 10.1016/j.cities.2017.04.010
   Lefebvre Henri, 1992, PRODUCTION SPACE, DOI DOI 10.1027/1618-3169/A000129
   de Carvalho MJL, 2013, CHILDHOOD, V20, P98, DOI 10.1177/0907568212447236
   Liegghio M, 2021, AFFILIA J WOM SOC WO, V36, P149, DOI 10.1177/0886109920939051
   Malacan~an Palace R.o.t. P., 2020, PROCLAMATION NO 1057
   Malone K., 2006, CREATING CHILD FRIEN
   Malone K., 2011, GLOB STUD CHILD, V1, P243
   Maxeiner Dirk., 2006, Living for the City-A New Agenda for Green Cities, P52
   Mayall Berry., 2002, SOCIOLOGY CHILDHOOD
   Mitlin D., 2013, URBAN POVERTY GLOBAL
   Mota Borges I., 2016, U BALTIMORE J INT LA, V5, P2
   Nederhand A., 2021, ERASMUS INITIATIVEVI
   Nimmo Richie., 2011, Methodological Innovations Online, V6, P108, DOI [DOI 10.4256/MIO.2011.010, 10.4256/mio.2011.010]
   Nyahuma-Mukwashi G., 2021, PALGRAVE ENCY URBAN, P1, DOI [10.1007/978-3-030-51812-7_90-1, DOI 10.1007/978-3-030-51812-7_90-1]
   Pain R, 2001, URBAN STUD, V38, P899, DOI 10.1080/00420980120046590
   Philippine Statistical Authority, 2021, HIGHL REG 3 CENTR LU
   Punch Samantha., 2002, Children Society, V16, P45, DOI [10.1002/chi.685, DOI 10.1002/CHI.685]
   Purcell M, 2003, INT J URBAN REGIONAL, V27, P564, DOI 10.1111/1468-2427.00467
   Republic of the Philippines IATF - EID, 2020, OMN GUID IMPL COMM Q
   Republic of the Philippines P.-p.p., 2019, UNESCAP SITE VISIT M
   Riggio E, 2002, ENVIRON URBAN, V14, P45, DOI 10.1177/095624780201400204
   Robinson Jennifer., 2006, Ordinary Cities: Between Modernity and Development
   Roy A, 2009, REG STUD, V43, P819, DOI 10.1080/00343400701809665
   Sabloff Annabelle., 2001, Reordering the natural world: Humans and animals in the city
   Skelton T, 2013, URBAN STUD, V50, P455, DOI 10.1177/0042098012468900
   Sommer D, 2010, INT PERSPECT EARLY C, V2, P1, DOI 10.1007/978-90-481-3316-1
   Thrift N, 2005, T I BRIT GEOGR, V30, P133, DOI 10.1111/j.1475-5661.2005.00157.x
   Tunström M, 2007, TOWN PLAN REV, V78, P681, DOI 10.3828/tpr.78.6.2
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   van Vliet W., 2015, Children, Youth and Environments, V25, P1, DOI [10.7721/chilyoutenvi.25.2.0001, DOI 10.7721/CHILYOUTENVI.25.2.0001]
   Wolch J., 1998, ANIMAL GEOGRAPHIES, P119
NR 56
TC 6
Z9 6
U1 1
U2 11
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD APR
PY 2023
VL 135
AR 104221
DI 10.1016/j.cities.2023.104221
EA FEB 2023
PG 9
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 8T6FL
UT WOS:000929355100001
OA hybrid
DA 2025-04-22
ER

PT J
AU Chen, ZC
   Zheng, CJ
   Xu, M
   Du, MQ
   Ma, JZ
   Zheng, SK
AF Chen, Zhichao
   Zheng, Changjiang
   Xu, Meng
   Du, Muqing
   Ma, Junze
   Zheng, Shukang
TI Reliability of urban underground-aboveground logistics networks under
   rainfall-flood and cascading failure scenarios
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Reliability; Attack-recovery condition; Rainfall-flood scenario;
   Cascading failure; Traffic congestion diffusion
ID CLIMATE-CHANGE; CENTRALITY; TRANSPORT; RESILIENCE; IMPACT; RISK
AB Urban Underground-Aboveground Logistics Networks (UUALNs) are susceptible to disruptions from unforeseen events such as rainfall and flooding, leading to severe road congestion. This paper investigates the reliability of UUALNs under various attack-recovery conditions, focusing on their ability to recover from cascading failures triggered by extreme rainfall-flood scenarios. We propose a coupled model that integrates a rainfall-flood model with a cascading failure framework. A case study of Nanjing is conducted to simulate the model's performance and validate its spatiotemporal adaptability in different attack-recovery scenarios. The findings demonstrate that different recovery strategies show varying degrees of effectiveness in mitigating network damage, with strategies based on the interaction attributes of coupled networks proving more resilient in rainfall-flood scenarios. When network congestion exceeds the percolation threshold, the diffusion of congestion intensifies, posing further challenges to network reliability. This study provides a robust framework for enhancing the resilience of urban logistics networks under adverse conditions.
C1 [Chen, Zhichao; Zheng, Changjiang; Du, Muqing; Ma, Junze] Hohai Univ, Coll Civil & Transportat Engn, Nanjing 210024, Jiangsu, Peoples R China.
   [Xu, Meng] Beijing Jiaotong Univ, Sch Syst Sci, Beijing 100044, Peoples R China.
   [Zheng, Shukang] Hohai Univ, Coll Environm, Nanjing 210024, Jiangsu, Peoples R China.
C3 Hohai University; Beijing Jiaotong University; Hohai University
RP Zheng, CJ (corresponding author), Hohai Univ, Coll Civil & Transportat Engn, 1,Xikang Rd, Nanjing, Jiangsu, Peoples R China.
EM czcbdqh@hhu.edu.cn
FU National Natural Science Foundation of China [72471083, 72091513];
   Transportation Science and Technology Project of Jiangsu Province
   [2021G09]
FX This work is jointly supported by National Natural Science Foundation of
   China (72471083, 72091513) and Transportation Science and Technology
   Project of Jiangsu Province (2021G09) .
CR Bellocchi L, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-02418-5
   Bi W, 2024, TRANSPORT RES D-TR E, V134, DOI 10.1016/j.trd.2024.104263
   Blondel VD, 2008, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2008/10/P10008
   Bonacich P, 2001, SOC NETWORKS, V23, P191, DOI 10.1016/S0378-8733(01)00038-7
   Borowska-Stefanska M, 2024, TRANSPORT RES D-TR E, V126, DOI 10.1016/j.trd.2023.104040
   Chang H, 2010, ANN ASSOC AM GEOGR, V100, P938, DOI 10.1080/00045608.2010.497110
   Chen HR, 2022, PHYSICA A, V600, DOI 10.1016/j.physa.2022.127592
   Chen HY, 2021, J CLEAN PROD, V295, DOI 10.1016/j.jclepro.2021.126441
   Chen ZC, 2024, RELIAB ENG SYST SAFE, V248, DOI 10.1016/j.ress.2024.110171
   Chen ZR, 2023, CHAOS, V33, DOI 10.1063/5.0137726
   Chiabaut N, 2021, TRANSPORT RES C-EMER, V124, DOI 10.1016/j.trc.2020.102920
   Chow AHF, 2020, TRANSPORT RES C-EMER, V113, P108, DOI 10.1016/j.trc.2019.05.007
   Di Z, 2022, TRANSPORT RES B-METH, V159, P1, DOI 10.1016/j.trb.2022.02.014
   Du Q, 2024, TRANSPORT RES D-TR E, V135, DOI 10.1016/j.trd.2024.104378
   Duan JX, 2023, TRANSPORT RES C-EMER, V147, DOI 10.1016/j.trc.2023.104017
   Dui HY, 2024, RELIAB ENG SYST SAFE, V246, DOI 10.1016/j.ress.2024.110071
   Esfeh MA, 2022, TRANSPORT RES C-EMER, V136, DOI 10.1016/j.trc.2021.103549
   Fang XY, 2023, TRANSPORT RES D-TR E, V121, DOI 10.1016/j.trd.2023.103819
   FREEMAN LC, 1979, SOC NETWORKS, V1, P215, DOI 10.1016/0378-8733(78)90021-7
   Huang WC, 2024, RELIAB ENG SYST SAFE, V242, DOI 10.1016/j.ress.2023.109766
   Huang WC, 2021, RELIAB ENG SYST SAFE, V215, DOI 10.1016/j.ress.2021.107825
   Kim K, 2022, TRANSPORT RES D-TR E, V105, DOI 10.1016/j.trd.2022.103239
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Kramer M, 2016, INT J DISAST RISK RE, V17, P77, DOI 10.1016/j.ijdrr.2016.04.003
   Lambert JH, 2013, ACCIDENT ANAL PREV, V50, P645, DOI 10.1016/j.aap.2012.06.015
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Li JJ, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130249
   Li ZL, 2019, RELIAB ENG SYST SAFE, V188, P503, DOI 10.1016/j.ress.2019.03.052
   Li ZH, 2024, TRANSPORT RES D-TR E, V135, DOI 10.1016/j.trd.2024.104362
   Lin ZS, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14035-y
   Liu S, 2022, IEEE T INTELL TRANSP, V23, P5740, DOI 10.1109/TITS.2021.3057404
   Liu ZZ, 2024, TRANSPORTMETRICA B, V12, P1, DOI 10.1080/21680566.2024.2352494
   Liu ZZ, 2022, PHYSICA A, V586, DOI 10.1016/j.physa.2021.126465
   Lü LY, 2016, PHYS REP, V650, P1, DOI 10.1016/j.physrep.2016.06.007
   Luan S, 2022, TRANSPORT RES C-EMER, V135, DOI 10.1016/j.trc.2021.103526
   Ma F, 2023, TRANSPORT RES D-TR E, V123, DOI 10.1016/j.trd.2023.103928
   Ma F, 2020, J CLEAN PROD, V265, DOI 10.1016/j.jclepro.2020.121747
   Majdandzic A, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10850
   Majdandzic A, 2014, NAT PHYS, V10, P34, DOI [10.1038/NPHYS2819, 10.1038/nphys2819]
   Meng XY, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108256
   Mo PL, 2023, TRANSPORT RES E-LOG, V179, DOI 10.1016/j.tre.2023.103286
   Motter AE, 2002, PHYS REV E, V66, DOI 10.1103/PhysRevE.66.065102
   Nagy AM, 2021, ADV ENG INFORM, V50, DOI 10.1016/j.aei.2021.101343
   Neuhold R, 2014, TRANSPORT RES REC, P93, DOI 10.3141/2421-11
   Peng GH, 2024, PHYSICA A, V637, DOI 10.1016/j.physa.2024.129585
   Pescaroli G, 2018, INT J DISAST RISK RE, V30, P269, DOI 10.1016/j.ijdrr.2018.01.019
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Purwar D, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101755
   Pyatkova K, 2019, J ENVIRON MANAGE, V244, P48, DOI 10.1016/j.jenvman.2019.05.013
   Qian YS, 2015, NONLINEAR DYNAM, V80, P413, DOI 10.1007/s11071-014-1878-z
   Qiao YN, 2023, TRANSPORT RES D-TR E, V123, DOI 10.1016/j.trd.2023.103919
   SPIESS H, 1990, TRANSPORT SCI, V24, P153, DOI 10.1287/trsc.24.2.153
   Stergiopoulos G, 2015, INT J CRIT INFR PROT, V10, P34, DOI 10.1016/j.ijcip.2015.05.003
   Sun HJ, 2014, APPL MATH MODEL, V38, P496, DOI 10.1016/j.apm.2013.06.027
   Sun LS, 2018, TRANSPORT RES A-POL, V108, P12, DOI 10.1016/j.tra.2017.12.008
   Tang JQ, 2020, TRANSPORT RES C-EMER, V121, DOI 10.1016/j.trc.2020.102840
   van der Westhuizen S, 2023, GEODERMA, V431, DOI 10.1016/j.geoderma.2023.116365
   Wang L, 2017, NEUROCOMPUTING, V251, P99, DOI 10.1016/j.neucom.2017.04.011
   Wang LJ, 2024, RELIAB ENG SYST SAFE, V244, DOI 10.1016/j.ress.2024.109956
   Yang Z, 2023, RELIAB ENG SYST SAFE, V229, DOI 10.1016/j.ress.2022.108888
   Zhang JB, 2018, IET INTELL TRANSP SY, V12, P93, DOI 10.1049/iet-its.2017.0039
   Zhang JH, 2024, RELIAB ENG SYST SAFE, V243, DOI 10.1016/j.ress.2023.109826
   Zhang XW, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101402
   Zhang YF, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108227
   Zhao CP, 2021, MARIT POLICY MANAG, V48, P478, DOI 10.1080/03088839.2020.1783466
   Zhong H, 2024, INT J DISAST RISK RE, V102, DOI 10.1016/j.ijdrr.2024.104291
   Zhou MY, 2024, EXPERT SYST APPL, V238, DOI 10.1016/j.eswa.2023.121843
   Zhu CL, 2021, TRANSPORT POLICY, V106, P54, DOI 10.1016/j.tranpol.2021.03.009
   Zhu CL, 2020, RELIAB ENG SYST SAFE, V204, DOI 10.1016/j.ress.2020.107095
   Zhu GY, 2024, IEEE T INTELL TRANSP, V25, P1044, DOI 10.1109/TITS.2023.3283100
NR 70
TC 1
Z9 1
U1 29
U2 29
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1361-9209
EI 1879-2340
J9 TRANSPORT RES D-TR E
JI Transport. Res. Part D-Transport. Environ.
PD NOV
PY 2024
VL 136
AR 104480
DI 10.1016/j.trd.2024.104480
EA NOV 2024
PG 24
WC Environmental Studies; Transportation; Transportation Science &
   Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Transportation
GA M3S3Z
UT WOS:001356774700001
DA 2025-04-22
ER

PT J
AU Nunes, AR
AF Nunes, Ana Raquel
TI Exploring the interactions between vulnerability, resilience and
   adaptation to extreme temperatures
SO NATURAL HAZARDS
LA English
DT Article
DE Climate change; Extreme events; Extreme temperature events; Extreme heat
   events; Heat waves; Extreme cold events; Cold waves; Climate change;
   Assets; Sense of coherence
ID CLIMATE-CHANGE; ENVIRONMENTAL-CHANGE; URBAN VULNERABILITY; HUMAN HEALTH;
   COHERENCE; CAPACITY; SENSE; POPULATION; MORBIDITY; MORTALITY
AB Proposed ways of improving adaptation to climate change have most often been supported by narrowly framed and separate analysis. This article investigates how different levels of vulnerability and resilience interplay with adaptation to extreme temperatures, what is the nature of these relationships and whether lower vulnerability and higher resilience contribute to increased adaptation. This article explores the governance implications of a project that, unlike other, brings together vulnerability, resilience and adaptation assessments. The project has made significant advances in addressing the current deficit integrated assessments for shaping governance propositions. Such propositions argue that the diverse levels of vulnerability and resilience convey important bases for (1) targeting at-risk older individuals; (2) developing vulnerability reduction actions; (3) resilience building actions; and (4) understanding 'success cases' and learn from them for developing appropriate policy measures. Taken together, these propositions offer a social, psychological and health framework not simply for governing extreme temperatures but for governing responses to climate change at large.
C1 [Nunes, Ana Raquel] Univ Warwick, Warwick Med Sch, Coventry CV4 7AL, W Midlands, England.
C3 University of Warwick
RP Nunes, AR (corresponding author), Univ Warwick, Warwick Med Sch, Coventry CV4 7AL, W Midlands, England.
EM raquel.nunes@warwick.ac.uk
OI Nunes, Ana Raquel/0000-0002-3709-3760
FU Fundacao para a Ciencia e a Tecnologia from the Portuguese Ministry for
   Science, Technology and Higher Education [SFRH/BD/68936/2010]; Fundação
   para a Ciência e a Tecnologia [SFRH/BD/68936/2010] Funding Source: FCT
FX This work was supported by the Fundacao para a Ciencia e a Tecnologia
   from the Portuguese Ministry for Science, Technology and Higher
   Education [grant number SFRH/BD/68936/2010].
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Almedom AM, 2007, J BIOSOC SCI, V39, P91, DOI 10.1017/S0021932005001112
   Almedom AM, 2008, AFR HEALTH SCI, V8, pS5
   Anderson GB, 2019, AM J EPIDEMIOL, V188, P866, DOI 10.1093/aje/kwz034
   [Anonymous], TYNDALL CTR CLIMATE
   [Anonymous], 2001, SOCIAL PROTECTION DI
   ANTONOVSKY A, 1993, SOC SCI MED, V36, P725, DOI 10.1016/0277-9536(93)90033-Z
   Antonovsky A, 1996, HEALTH PROMOT INT, V11, P11, DOI 10.1093/heapro/11.1.11
   Antonovsky A., 1987, UNRAVELLING MYSTERY
   Åström DO, 2011, MATURITAS, V69, P99, DOI 10.1016/j.maturitas.2011.03.008
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Bankoff G, 2019, DISASTERS, V43, P221, DOI 10.1111/disa.12312
   Beall C., 2012, HUMAN BIOL EVOLUTION, V2
   Bellamy R, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.623
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Birkmann J, 2010, NAT HAZARDS, V55, P637, DOI 10.1007/s11069-008-9319-2
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brooks N., 2003, Tyndall Centre for Climate Change Research Working Paper, V38, P1, DOI DOI 10.1086/379713
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Bryman A., 2016, Social research methods
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Carvalho A, 2014, WIRES CLIM CHANGE, V5, P199, DOI 10.1002/wcc.258
   Casimiro E, 2006, ENVIRON HEALTH PERSP, V114, P1950, DOI 10.1289/ehp.8431
   Chambers R., 2006, Institute of Development Studies Bulletin, V37
   Conlon KC, 2011, MATURITAS, V69, P197, DOI 10.1016/j.maturitas.2011.04.004
   Creswell J., 2017, QUAL INQ
   Creswell J. W., 2014, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches
   Curtis SE, 2012, PROG HUM GEOG, V36, P654, DOI 10.1177/0309132511423350
   Deschenes O, 2014, ENERG ECON, V46, P606, DOI 10.1016/j.eneco.2013.10.013
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Ebi KL, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15091943
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Fuller S, 2013, AREA, V45, P63, DOI 10.1111/j.1475-4762.2012.01105.x
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Glandon D., 2008, AFR HEALTH SCI, V8
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guo YM, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002629
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Haines A, 2019, NEW ENGL J MED, V380, P263, DOI 10.1056/NEJMra1807873
   Hajat S, 2007, OCCUP ENVIRON MED, V64, P93, DOI 10.1136/oem.2006.029017
   Hansen A, 2011, INT J ENV RES PUB HE, V8, P4714, DOI 10.3390/ijerph8124714
   Instituto Nacional de Estatistica, 2011, I NAC EST CENS 2011
   Keim ME, 2008, AM J PREV MED, V35, P508, DOI 10.1016/j.amepre.2008.08.022
   Kimhi S, 2016, J HEALTH PSYCHOL, V21, P164, DOI 10.1177/1359105314524009
   Kimhi S, 2010, ANXIETY STRESS COPIN, V23, P139, DOI 10.1080/10615800902971513
   King N., 2010, INTERVIEWS QUALITATI
   Kjellstrom T, 2013, GLOBAL HEALTH ACTION, V6, P1, DOI 10.3402/gha.v6i0.20816
   Kottek M., 2006, METEOROL Z, V15, P259, DOI [10.1127/0941-2948/2006/0130, DOI 10.1127/0941-2948/2013/0507, DOI 10.1127/0941-2948/2006/0130]
   Lei YD, 2014, NAT HAZARDS, V70, P609, DOI 10.1007/s11069-013-0831-7
   Leichenko R, 2014, WIRES CLIM CHANGE, V5, P539, DOI 10.1002/wcc.287
   Lorenz DF, 2013, NAT HAZARDS, V67, P7, DOI 10.1007/s11069-010-9654-y
   Lucio PS, 2010, METEOROL APPL, V17, P404, DOI 10.1002/met.171
   Luthar SS, 2000, CHILD DEV, V71, P543, DOI 10.1111/1467-8624.00164
   Marmot M., 2010, MARMOT REV, V2010
   McDowell G, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/033001
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   Miller F, 2010, ECOL SOC, V15
   Morgan Antony, 2007, Promot Educ, VSuppl 2, P17
   Moser C, 2011, URB DEV SER, P225
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nunes A R., 2020, Weather, Climate, and Society, V12, P913, DOI [DOI 10.1175/WCAS-D-19-0078.1, 10.1175/WCAS-D-19-0078.1]
   Nunes AR, 2019, LANCET PLANET HEALTH, V3, pE293, DOI 10.1016/S2542-5196(19)30107-X
   Nunes AR, 2020, INT J ENVIRON HEAL R, V30, P515, DOI 10.1080/09603123.2019.1609655
   Nunes AR, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208121
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Rodrigues M, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11020159
   Rodrigues M, 2019, INT J BIOMETEOROL, V63, P549, DOI 10.1007/s00484-019-01685-2
   Romero-Lankao P, 2012, GLOBAL ENVIRON CHANG, V22, P670, DOI 10.1016/j.gloenvcha.2012.04.002
   Royal Society, 2014, ROYAL SOC SCI POLICY
   Ruane J.M., 2005, ESSENTIALS RES METHO
   Seidman I., 2013, Interviewing as qualitative research: A guide for researchers in education and the social sciences
   Sen A., 1981, POVERTY FAMINES ESSA
   Sen Amartya, 1999, Development as Freedom
   Skea J., 2018, IPCC SPECIAL REPORT
   Tod AM, 2012, BMJ OPEN, V2, DOI 10.1136/bmjopen-2012-000922
   Tong S, 2019, ENVIRON RES, V174, P9, DOI 10.1016/j.envres.2019.04.012
   Tong SL, 2016, ENVIRON HEALTH PERSP, V124, pA176, DOI 10.1289/EHP555
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Ungar M, 2018, ECOL SOC, V23, DOI 10.5751/ES-10385-230434
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Walker B, 2004, ECOL SOC, V9
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   White-Newsome JL, 2011, MATURITAS, V70, P85, DOI 10.1016/j.maturitas.2011.06.015
   WHO, 2013, PROT HLTH CLIM CHANG
   Wiesmann U, 2009, BRIT J HEALTH PSYCH, V14, P767, DOI 10.1348/135910709X413124
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Wilkinson RG., 2005, IMPACT INEQUALITY MA
   Wisner B., 2004, AT RISK, V2nd
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
NR 97
TC 15
Z9 16
U1 6
U2 50
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD DEC
PY 2021
VL 109
IS 3
BP 2261
EP 2293
DI 10.1007/s11069-021-04919-y
EA JUL 2021
PG 33
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA XA5DA
UT WOS:000674555300002
OA Green Submitted, Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Liévanos, RS
   Horne, C
AF Lievanos, Raoul S.
   Horne, Christine
TI Unequal resilience: The duration of electricity outages
SO ENERGY POLICY
LA English
DT Article
DE Resilience; Electrical outage duration; Energy justice;
   Intersectionality; American Indians; Spatial analysis
ID ENVIRONMENTAL INEQUALITY; ENERGY JUSTICE; POWER; INJUSTICE; ACCESS;
   INCOME; RACE; RATIONALITY; ASSISTANCE; SACRIFICE
AB The resilience of social, biophysical, and technological systems is of increasing scholarly and practical import. Guided by scholarship on disaster resilience, environmental inequality, and urban service inequality, we advance the study of "unequal resilience" in a critical infrastructure - the electric grid. We analyze inequality in electricity outage duration at the census block group level using data from the U.S. Census, the U.S. Geological Survey, and a U.S. electrical utility's database of power outages from 2002 to 2004. Our intersectional approach identifies a factor variable of American Indian disadvantage as a correlate of average outage duration suggesting possible support for an institutional bias hypothesis. However, spatial error regression models demonstrate that unequal resilience within our study area is most consistently explained by proximity to priority assets (i.e., hospitals), average downstream customers affected by outages, and environmental conditions (i.e., the seasonality of outages). These results are consistent with existing research on utilities' response to power outages, and more broadly with the bureaucratic decision rules perspective on service inequalities. We discuss the implications of our findings for future research and energy policy.
C1 [Lievanos, Raoul S.] Univ Oregon, Dept Sociol, Eugene, OR 97403 USA.
   [Horne, Christine] Washington State Univ, Dept Sociol, Pullman, WA 99164 USA.
C3 University of Oregon; Washington State University
RP Liévanos, RS (corresponding author), Univ Oregon, Dept Sociol, Eugene, OR 97403 USA.
EM raoull@uoregon.edu; chorne@wsu.edu
FU National Science Foundation [1441357]; Directorate For Engineering;
   Emerging Frontiers & Multidisciplinary Activities [1441357] Funding
   Source: National Science Foundation
FX This research was supported in part by a grant from the National Science
   Foundation (#1441357). The authors would like to thank personnel at U.S.
   Electric for providing access to the utility's dataset. The authors also
   thank Brice Darras for research assistance and anonymous reviewers for
   valuable feedback on a previous draft of this article. Authors are
   solely responsible for any remaining errors or omissions in the article.
CR [Anonymous], MAJ ROADS US
   [Anonymous], OUR MEMB
   [Anonymous], EL REG US GUID
   [Anonymous], 1995, NEW LEFT REV
   [Anonymous], CRIT FDN PROT AM INF
   [Anonymous], 2004, National Historical Geographic Information System
   [Anonymous], PROF RANK INV OWN EL
   [Anonymous], NLCD 2001 LAND COV V
   [Anonymous], 2006, ANAL SOCIAL SETTINGS
   [Anonymous], WHAT IS SEC RES
   Anselin L., 2009, The SAGE handbook of spatial analysis, V1, P255, DOI [10.4135/9780857020130, DOI 10.4135/9780857020130]
   Anselin L., 2005, EXPLORING SPATIAL DA
   Ard K, 2015, SOC SCI RES, V53, P375, DOI 10.1016/j.ssresearch.2015.06.019
   Bickerstaff K., 2013, ENERGY JUSTICE CHANG
   Bouzarovski S., 2013, ENERGY JUSTICE CHANG, P30
   BOYLE J, 1982, AM POLIT SCI REV, V76, P371, DOI 10.2307/1961116
   Brookshire D, 2013, ENERG POLICY, V62, P1506, DOI 10.1016/j.enpol.2013.07.021
   Browning CR, 2006, AM SOCIOL REV, V71, P661, DOI 10.1177/000312240607100407
   Chakraborty J, 2009, ANN ASSOC AM GEOGR, V99, P674, DOI 10.1080/00045600903066490
   CINGRANELLI DL, 1981, AM J POLIT SCI, V25, P664, DOI 10.2307/2110758
   Collins TW, 2011, HEALTH PLACE, V17, P335, DOI 10.1016/j.healthplace.2010.11.011
   Davidson R.A., 2003, NAT HAZARDS REV, V4, P36, DOI 10.1061/(ASCE)1527-6988(2003)4:1(36)
   Davis JJ, 2016, SOCIOL FORUM, V31, P5, DOI 10.1111/socf.12226
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   DiMaggio PJ, 2000, ADV STRATEG MANAGE, V 17, P143, DOI 10.2307/2095101
   Downey L, 2008, SOCIOL PERSPECT, V51, P759, DOI 10.1525/sop.2008.51.4.759
   Feiock R., 1986, J URBAN AFF, V8, P31, DOI DOI 10.1111/J.1467-9906.1986.TB00146.X
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   FREUDENBURG WR, 1993, SOC FORCES, V71, P909, DOI 10.2307/2580124
   Ghanem DA, 2016, ENERG POLICY, V92, P171, DOI 10.1016/j.enpol.2016.02.003
   Gotham KevinFox., 2014, Crisis Cities: Disaster and Redevelopment in New York and New Orleans, DOI DOI 10.1093/ACPROF:OSO/9780199752225.001.0001
   Grant D, 2010, AM SOCIOL REV, V75, P479, DOI 10.1177/0003122410374822
   Grineski SE, 2010, SOC FORCES, V88, P2241, DOI 10.1353/sof.2010.0036
   Guikema SD, 2006, IEEE T POWER DELIVER, V21, P1549, DOI 10.1109/TPWRD.2005.860238
   Halff A., 2014, Global Client Solutions
   Heffron RJ, 2015, ENERG POLICY, V87, P168, DOI 10.1016/j.enpol.2015.08.033
   Hernández D, 2015, ENVIRON JUSTICE, V8, P151, DOI 10.1089/env.2015.0015
   HIGGINS L, 1995, SOC PROBL, V42, P468, DOI 10.1525/sp.1995.42.4.03x0128x
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Homer C, 2004, PHOTOGRAMM ENG REM S, V70, P829, DOI 10.14358/PERS.70.7.829
   Hooks G, 2004, AM SOCIOL REV, V69, P558, DOI 10.1177/000312240406900405
   Jenkins K, 2016, ENERGY RES SOC SCI, V11, P174, DOI 10.1016/j.erss.2015.10.004
   Klinenberg E., 2002, Heat Wave: A Social Autopsy of Disaster in Chicago
   KOEHLER DH, 1987, J POLIT, V49, P80, DOI 10.2307/2131135
   Liévanos RS, 2017, SOCIOL PERSPECT, V60, P575, DOI 10.1177/0731121416648935
   Liévanos RS, 2015, SOC SCI RES, V54, P50, DOI 10.1016/j.ssresearch.2015.06.014
   Lin S, 2011, PUBLIC HEALTH REP, V126, P384, DOI 10.1177/003335491112600312
   Lineberry Robert., 1977, EQUALITY URBAN POLIC
   Liscouski B., 2004, Final report on the August 14, 2003 blackout in the United States and Canada: Causes and recommendations
   Lutzenhiser L, 1999, ENERG POLICY, V27, P217, DOI 10.1016/S0301-4215(99)00012-9
   Maliszewski PJ, 2012, APPL GEOGR, V32, P668, DOI 10.1016/j.apgeog.2011.08.001
   MCDERMOTT K., 2012, Cost of service regulation in the investor-owned electric utility industry: A History of Adaptation
   MEIER KJ, 1991, AM J POLIT SCI, V35, P155, DOI 10.2307/2111442
   Munn R. E., 1986, Sustainable Development of the Biosphere, P292
   Murray AG, 2014, CONTEMP ECON POLICY, V32, P811, DOI 10.1111/coep.12050
   Oakley D. A., 2007, The Sociology of Spatial Inequality, P215
   Oppenheim J, 2016, ENERGY RES SOC SCI, V18, P96, DOI 10.1016/j.erss.2016.04.022
   Perez R, 2011, ENERG POLICY, V39, P7290, DOI 10.1016/j.enpol.2011.08.052
   Perrow C., 1986, Complex Organizations: A Critical Essay, V3rd
   Procupez V, 2016, PUBLIC CULTURE, V28, P351, DOI 10.1215/08992363-3427475
   Pulido L., 1996, ENVIRONMENTALISM EC, DOI DOI 10.2307/J.CTV1JF2CMJ
   Pulido Laura., 2006, BLACK BROWN YELLOW L
   Ragin Charles., 1992, WHAT IS CASE, DOI DOI 10.2307/3322115
   Reames TG, 2016, ENERG POLICY, V97, P549, DOI 10.1016/j.enpol.2016.07.048
   Reed DA, 2010, J ENERG ENG, V136, P95, DOI 10.1061/(ASCE)EY.1943-7897.0000028
   Silver J, 2015, INT J URBAN REGIONAL, V39, P984, DOI 10.1111/1468-2427.12317
   Simpson P., 1996, Journal of Arboriculture, V22, P117
   Sovacool BK, 2014, ENERGY RES SOC SCI, V1, P1, DOI 10.1016/j.erss.2014.02.003
   Sovacool BK, 2014, GLOBAL ENERGY JUSTICE: PROBLEMS, PRINCIPLES, AND PRACTICES, P1, DOI 10.1017/CBO9781107323605
   Steinman E, 2012, AM J SOCIOL, V117, P1073, DOI 10.1086/662708
   Stram BN, 2016, ENERG POLICY, V96, P728, DOI 10.1016/j.enpol.2016.05.034
   Sze J., 2007, NOXIOUS NEW YORK RAC
   Talen E, 1997, URBAN GEOGR, V18, P521, DOI 10.2747/0272-3638.18.6.521
   Tierney Kathleen., 2014, SOCIAL ROOTS RISK PR
   Vickery J, 2016, SOC NATUR RESOUR, V29, P36, DOI 10.1080/08941920.2015.1045644
   Walker G, 2012, ENERG POLICY, V49, P69, DOI 10.1016/j.enpol.2012.01.044
   Wells K, 2012, J URBAN AFF, V34, P43, DOI 10.1111/j.1467-9906.2011.00575.x
NR 78
TC 49
Z9 61
U1 3
U2 52
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0301-4215
EI 1873-6777
J9 ENERG POLICY
JI Energy Policy
PD SEP
PY 2017
VL 108
BP 201
EP 211
DI 10.1016/j.enpol.2017.05.058
PG 11
WC Economics; Energy & Fuels; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Energy & Fuels; Environmental Sciences & Ecology
GA FC3FZ
UT WOS:000406725800021
OA Bronze
DA 2025-04-22
ER

PT J
AU Ahmad, T
   Hussain, S
   Akbar, M
   Rehman, AU
AF Ahmad, Tanveer
   Hussain, Shahzad
   Akbar, Muhammad
   Rehman, Ajid Ur
TI Impact of terrorism on stock market: Evidence from developed and
   developing markets
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Terrorism; Stock market returns; Developed countries; Developing
   countries
ID FINANCIAL-MARKETS; MACROECONOMIC CONSEQUENCES; TRANSNATIONAL TERRORISM;
   ATTACKS; VOLATILITY; COUNTRIES; EDUCATION; RETURNS; INCOME; COSTS
AB This study examines the impact of terrorism on stock market returns through an extensive dataset of 23 countries over the period of 2001-2017. Stock market returns are examined in the context of different aspects of terrorist attacks such as number of suicide attack, number of people killed in terrorist attacks, attacks in major and capital city, the distance of terrorist attack from capital city, property damaged due to terrorist attack and nationality of the victims being killed in a terrorist attack. Consistent with previous studies, our regression analysis reveals that assaults in capital city and severity of attacks negatively influence the index returns. Particularly, the results provide some new insights, with respect to terrorist attacks intended for targeting specific locations with strategic advantages, and assaults in close proximity of capital are found to have more pronounced and devastating effect on the stock market returns. Moreover, foreigners are strategically more valuable targets for terrorists in order to disrupt the smooth functioning of capital markets. The analyses of sub samples, reveal that developing economies are more fragile and developed markets are more resilient to terrorism. Our robust analysis through event methodology confirms our main findings and reveal that negative response of stock market to terrorist attacks is more prominent in developing countries and developed capital markets are more resilient to the negative shocks of terrorist attacks.
C1 [Ahmad, Tanveer] Kohat Univ Sci & Technol, Inst Business Studies, Kohat, Pakistan.
   [Hussain, Shahzad] Fdn Univ Islamabad, Fac Management Sci, Islamabad, Pakistan.
   [Akbar, Muhammad] Birmingham City Univ, Birmingham, W Midlands, England.
   [Rehman, Ajid Ur] Riphah Int Univ, Fac Management Sci, Islamabad, Pakistan.
C3 Kohat University of Science & Technology; Quaid I Azam University;
   Birmingham City University
RP Ahmad, T (corresponding author), Kohat Univ Sci & Technol, Inst Business Studies, Kohat, Pakistan.
EM tanveerahmad@kust.edu.pk; shahzadhussainpeace@gmail.com;
   muhammad.akbar@bcu.ac.uk; ajid.rehman@riphah.edu.pk
RI Hussain, Shahzad/D-5528-2014; Akbar, Muhammad/ABE-6320-2020
OI ur Rehman, Ajid/0000-0002-7179-5256; Ahmad, Tanveer/0000-0002-8957-6991;
   Hussain, Shahzad/0000-0003-1038-5314; Akbar,
   Muhammad/0000-0003-0463-6105
CR Abadie A, 2003, AM ECON REV, V93, P113, DOI 10.1257/000282803321455188
   Abadie A, 2008, EUR ECON REV, V52, P1, DOI 10.1016/j.euroecorev.2007.08.005
   Aksoy M., 2014, Ege Academic Rewiew, V14, P31
   Alqahtani A, 2020, ECON ANAL POLICY, V68, P239, DOI 10.1016/j.eap.2020.09.017
   [Anonymous], 2002, WORKSH EC CONS GLOB
   [Anonymous], 2001, BROOKINGS REV
   [Anonymous], 2009, ENERGY SECURITY CHAL
   Arin KP, 2008, ECON LETT, V101, P164, DOI 10.1016/j.econlet.2008.07.007
   Arto I, 2016, ENERGY SUSTAIN DEV, V33, P1, DOI 10.1016/j.esd.2016.04.001
   Aslam F, 2018, SINGAP ECON REV, V63, P1183, DOI 10.1142/S0217590815501118
   Aslam F, 2015, DEFENCE PEACE ECON, V26, P634, DOI 10.1080/10242694.2013.832555
   Behlendorf B, 2016, STUD CONFL TERROR, V39, P641, DOI 10.1080/1057610X.2016.1141004
   Bevilacqua M, 2020, INT REV FINANC ANAL, V67, DOI 10.1016/j.irfa.2019.101417
   Blomberg SB, 2008, TERRORISM, ECONOMIC DEVELOPMENT, AND POLITICAL OPENNESS, P83, DOI 10.1017/CBO9780511754388.004
   Blomberg S.Brock, 2005, Claremont Colleges Working Papers, V2005-01
   Blomberg SB, 2004, J MONETARY ECON, V51, P1007, DOI 10.1016/j.jmoneco.2004.04.001
   BOEHMER E, 1991, J FINANC ECON, V30, P253, DOI 10.1016/0304-405X(91)90032-F
   Brockhoff S, 2015, J CONFLICT RESOLUT, V59, P1186, DOI 10.1177/0022002713520589
   Brounrn D, 2010, EUR FINANC MANAG, V16, P585, DOI 10.1111/j.1468-036X.2009.00502.x
   Charles A, 2006, ECON MODEL, V23, P683, DOI 10.1016/j.econmod.2006.03.008
   Chaudhry N, 2018, FINANC RES LETT, V26, P230, DOI 10.1016/j.frl.2018.02.024
   Chen A. H., 2007, EC ANAL TERRORISM, P99
   Chesney M, 2011, J BANK FINANC, V35, P253, DOI 10.1016/j.jbankfin.2010.07.026
   Corbet S, 2018, Q REV ECON FINANC, V68, P118, DOI 10.1016/j.qref.2017.11.012
   Crain NV, 2006, PUBLIC CHOICE, V128, P317, DOI 10.1007/s11127-006-9056-6
   CRENSHAW M, 1981, COMP POLIT, V13, P379, DOI 10.2307/421717
   Crenshaw Martha., 2001, Studies in Conflict Terrorism, V24, P329, DOI [10.1080/105761001750434204, DOI 10.1080/105761001750434204]
   Cubukcu S, 2018, HOMICIDE STUD, V22, P94, DOI 10.1177/1088767917737808
   Drakos K, 2010, REV FINANC ECON, V19, P128, DOI 10.1016/j.rfe.2010.01.001
   Durodie B, 2016, BRIT J EDUC STUD, V64, P21, DOI 10.1080/00071005.2015.1107023
   Eckstein Z, 2004, J MONETARY ECON, V51, P971, DOI 10.1016/j.jmoneco.2004.05.001
   Eldor R., 2004, European Journal of Political Economy, V20, P367, DOI DOI 10.1016/J.EJPOLECO.2004.03.002
   Eldor R.R., 2012, Journal of Business Administration Research, V1, P18, DOI DOI 10.5430/JBAR.V1N2P18
   Enders W, 2006, INT STUD QUART, V50, P367, DOI 10.1111/j.1468-2478.2006.00406.x
   Enders W, 1996, KYKLOS, V49, P331, DOI 10.1111/j.1467-6435.1996.tb01400.x
   Eruygur A.C., 2014, Journal of Reviews on Global Economics, V3, P220
   Essaddam N, 2015, APPL ECON LETT, V22, P209, DOI 10.1080/13504851.2014.934423
   Estrada MAR, 2015, J POLICY MODEL, V37, P1065, DOI 10.1016/j.jpolmod.2015.08.004
   Frey BS, 2007, J ECON SURV, V21, P1, DOI 10.1111/j.1467-6419.2007.00505.x
   Goel S, 2017, J FINANC STABIL, V33, P120, DOI 10.1016/j.jfs.2017.11.001
   Gok IY, 2020, PHYSICA A, V540, DOI 10.1016/j.physa.2019.123484
   Hassan S.A., 2015, Pakistan Journal of Commerce and Social Sciences, V9, P218
   HAUSMAN JA, 1978, ECONOMETRICA, V46, P1251, DOI 10.2307/1913827
   Hobbs J., 2015, J FINANC CRIME, V23, P70
   Hsiao C., 1986, Analysis of panel data, V11
   Hussain S., 2017, INT J MED CLIN RES, V5
   Johnston R.B., 2005, WP0560 IMF
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Khan M, 2019, J POLICY MODEL, V41, P623, DOI 10.1016/j.jpolmod.2019.02.002
   Kolaric S, 2016, FINANC RES LETT, V18, P306, DOI 10.1016/j.frl.2016.05.003
   Kollias C, 2011, EUR J POLIT ECON, V27, pS64, DOI 10.1016/j.ejpoleco.2011.05.002
   Kong DM, 2021, ENERG ECON, V102, DOI 10.1016/j.eneco.2021.105474
   Kydd AH, 2006, INT SECURITY, V31, P49, DOI 10.1162/isec.2006.31.1.49
   Levy O., 2006, Journal of Socio-Economics, V35, P980, DOI DOI 10.1016/J.SOCEC.2005.11.019
   Li Q, 2004, J CONFLICT RESOLUT, V48, P230, DOI 10.1177/0022002703262869
   Llussá F, 2011, ECON LETT, V110, P52, DOI 10.1016/j.econlet.2010.09.011
   Lutz BJ, 2020, BEHAV SCI TERROR POL, V12, P55, DOI 10.1080/19434472.2018.1518337
   Makarenko T., 2004, GLOB CRIME, V6, P129, DOI DOI 10.1080/1744057042000297025
   Marineau J, 2020, CONFLICT MANAG PEACE, V37, P350, DOI 10.1177/0738894218789356
   Meierrieks D, 2021, EUR J POLIT ECON, V69, DOI 10.1016/j.ejpoleco.2021.102011
   Mnasri A, 2016, EMERG MARK REV, V28, P184, DOI 10.1016/j.ememar.2016.08.002
   Narayan S, 2018, INT REV FINANC ANAL, V58, P247, DOI 10.1016/j.irfa.2018.03.011
   Neumayer E, 2011, J PEACE RES, V48, P3, DOI 10.1177/0022343310390147
   Nguyen A.P., 2009, INT BUS EC REJ, V8
   Nikkinen J, 2010, FINANC REV, V45, P263, DOI 10.1111/j.1540-6288.2010.00246.x
   Orbaneja JRV, 2018, FINANC RES LETT, V24, P42, DOI 10.1016/j.frl.2017.06.016
   Papakyriakou P, 2019, J INT FINANC MARK I, V61, P143, DOI 10.1016/j.intfin.2019.03.001
   Pape RA, 2003, AM POLIT SCI REV, V97, P343
   Peleg K, 2011, DISASTERS, V35, P268, DOI 10.1111/j.1467-7717.2010.01203.x
   Piazza JA, 2008, INT STUD QUART, V52, P469, DOI 10.1111/j.1468-2478.2008.00511.x
   Plümper T, 2010, EUR J POLIT RES, V49, P75, DOI 10.1111/j.1475-6765.2009.01885.x
   Seabra C, 2020, ANN TOURISM RES, V80, DOI 10.1016/j.annals.2019.102811
   Wu MY, 2018, PHYSICA A, V492, P1753, DOI 10.1016/j.physa.2017.11.095
   Zakaria M, 2019, ECON RES-EKON ISTRAZ, V32, P1794, DOI 10.1080/1331677X.2019.1638290
NR 74
TC 13
Z9 13
U1 0
U2 23
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD FEB 15
PY 2022
VL 70
AR 102786
DI 10.1016/j.ijdrr.2022.102786
EA JAN 2022
PG 14
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA ZK6WN
UT WOS:000763128400003
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Jessin, J
   Heinzlef, C
   Long, NTL
   Serre, D
AF Jessin, Jeremy
   Heinzlef, Charlotte
   Long, Nathalie
   Serre, Damien
TI Conceptualization of territorial resilience potential indicators to
   coastal hazards through the use of unmanned aerial vehicles
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
ID URBAN RESILIENCE; CLIMATE-CHANGE; COMMUNITY RESILIENCE; FLOOD
   RESILIENCE; RISK; DISASTERS; ADAPTATION; MANAGEMENT; IMPACTS; SYSTEMS
AB Major natural hazards in recent decades have led to a revisiting of the concept of resilience, particularly in order to analyze traditional models of response to an unforeseen event and post-crisis management mechanisms. For resilience to be an applicable/operational concept to guide management and inform decisions, it must ultimately be characterized for its assessment. This assessment can be done through the identification of indicators specifically contextualized to the study site and object of study. However, today, operationalizing of the concept of resilience tends to draw on annual censuses or aggregated data, providing a generalized large scale view of the territorial resilience potential. The objective of this study is to identify a table of Territorial Resilience Potential (TRP) indicators to coastal hazards applied to coastal island territories, supplied by data from Unmanned Aerial Vehicles (UAVs) to allow for rapid and site specific data acquisition for repetitive surveys. This acquisition method makes it possible to calculate a number of relevant indicators for assessing the resilience potential of coastal areas. In particular, it allows rapid updating of data following major meteorological events and identification of hot and cold spots of resilience potential of a specific study site. To demonstrate the applicability of this method to island territories, the island of Bora Bora in French Polynesia was used as a case study. Finally, these kinds of results can be fed through a spatial decision support system to help decision-makers choose an adaptation and protection strategy in order to move towards resilient territories, over a long period of time.
C1 [Jessin, Jeremy] Univ Polynesie Francaise, Ifremer, UMR EIO, ILM,IRD, F-98702 Tahiti, French Polynesi, France.
   [Jessin, Jeremy; Long, Nathalie] La Rochelle Univ, CNRS, UMR LIENSs, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
   [Heinzlef, Charlotte; Serre, Damien] Univ Paris Saclay, Univ Versailles St Quentin En Yvelines, CEARC, 11 Blvd Alembert, F-78280 Guyancourt, France.
   [Serre, Damien] HyperionResilience SAS, 91 Route Chartres, F-91940 Gometz Le Chatel, France.
C3 Ifremer; Institut de Recherche pour le Developpement (IRD); Centre
   National de la Recherche Scientifique (CNRS); Universite Paris Saclay
RP Jessin, J (corresponding author), Univ Polynesie Francaise, Ifremer, UMR EIO, ILM,IRD, F-98702 Tahiti, French Polynesi, France.
EM jeremyjessin@gmail.com; charlotte.heinzlef@uvsq.fr;
   nathalie.long@univ-lr.fr
CR Aitsi-Selmi A, 2015, INT J DISAST RISK SC, V6, P164, DOI 10.1007/s13753-015-0050-9
   Alberico I, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101893
   Andrew NL, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223249
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Assarkhaniki Z, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101840
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Beatley T, 2013, SUSTAINABILITY-BASEL, V5, P3328, DOI 10.3390/su5083328
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Bessat F., 2006, Impacts du rechauffement climatique sur les petites iles du Pacifique. modelisation et perception du risque: application au littoral de l'agglomeration de Papeete (Polynesie francaise)
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Boin Aijen., 2005, What Is A Disaster? New Answers to Old Questions, P280, DOI DOI 10.1353/AQ.2009.A317263
   Bourlier B., 2021, ACAD J CIV ENG, V39, P67, DOI [10.26168/ajce.39.1.15, DOI 10.26168/AJCE.39.1.15]
   Brody SD, 2012, ECOL INDIC, V18, P493, DOI 10.1016/j.ecolind.2012.01.004
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Callaghan MW, 2020, NAT CLIM CHANGE, V10, P118, DOI 10.1038/s41558-019-0684-5
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Delgado-Ramos GC, 2017, INT J URBAN SUSTAIN, V9, P151, DOI 10.1080/19463138.2017.1341890
   Casella E, 2017, CORAL REEFS, V36, P269, DOI 10.1007/s00338-016-1522-0
   Cimellaro GP, 2021, J EARTHQ ENG, V25, P703, DOI 10.1080/13632469.2018.1531090
   Cole TW, 2008, SOUTH COMMUN J, V73, P211, DOI 10.1080/10417940802219702
   Collin A, 2018, INT J REMOTE SENS, V39, P5676, DOI 10.1080/01431161.2018.1500072
   Collins M., SPM6 Extremes, Abrupt Changes and Managing Risks.
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   DasGupta R, 2015, J COAST CONSERV, V19, P85, DOI 10.1007/s11852-014-0369-1
   de Sede-Marceau M.-H., 2012, C L, V2012, P55, DOI [10.4074/S0336150012011052, DOI 10.4074/S0336150012011052]
   Edmonds C, 2018, DISASTER PREV MANAG, V27, P478, DOI 10.1108/DPM-02-2018-0057
   Fabbri KP, 1998, OCEAN COAST MANAGE, V39, P51, DOI 10.1016/S0964-5691(98)00013-1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Fu Xin, 2018, Environment Systems & Decisions, V38, P367, DOI 10.1007/s10669-018-9693-6
   GABRIE C, 1994, OCEAN COAST MANAGE, V25, P189, DOI 10.1016/0964-5691(94)90056-6
   Gairin E, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13224692
   Gallopin G.C., 2005, Sustainability: Sustainability Indicators
   Galloway GE, 2008, INT J RIVER BASIN MA, V6, P301, DOI 10.1080/15715124.2008.9635357
   Gemenne F., 2019, Observatoire Defense & Climat
   Giardino A, 2018, OCEAN COAST MANAGE, V156, P249, DOI 10.1016/j.ocecoaman.2017.11.008
   Gonçalves JA, 2015, ISPRS J PHOTOGRAMM, V104, P101, DOI 10.1016/j.isprsjprs.2015.02.009
   Guha-Sapir D., 2012, Annual disaster statistical review 2011: The numbers and trends
   Haunschild R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160393
   Heinzlef C., 2022, DISASTER RISK REDUCT, P103, DOI [10.1007/978-3-030-72196-1_5, DOI 10.1007/978-3-030-72196-1_5]
   Heinzlef C., 2020, Water Security, V11, P100075, DOI [10.1016/j.wasec.2020.100075, DOI 10.1016/J.WASEC.2020.100075]
   Heinzlef C, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102974
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Hoeke RK, 2013, GLOBAL PLANET CHANGE, V108, P128, DOI 10.1016/j.gloplacha.2013.06.006
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Horton BP, 2018, ANNU REV ENV RESOUR, V43, P481, DOI 10.1146/annurev-environ-102017-025826
   Hu MM, 2018, POL J ENVIRON STUD, V27, P1085, DOI 10.15244/pjoes/76242
   Hung HC, 2016, LAND USE POLICY, V50, P48, DOI 10.1016/j.landusepol.2015.08.029
   IEOM, 2024, Rapport annuel economique 2020 de l'IEOM Polynesie Francaise
   Iglesias-Mendoza M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042030
   ISPF, 2017, Le recensement de la population en Polynesie francaise en 2017
   Jao C., 2011, EFFICIENT DECISION S, DOI [DOI 10.5772/17070, 10.5772/17070]
   Jessin J, 2023, DRONES-BASEL, V7, DOI 10.3390/drones7030206
   Jessin J, 2022, WATER-SUI, V14, DOI 10.3390/w14030359
   Kammouh O, 2019, ASCE-ASME J RISK U A, V5, DOI 10.1061/AJRUA6.0001004
   Kaye-Blake W, 2019, RURAL SOC, V28, P161, DOI 10.1080/10371656.2019.1658285
   Kilfoil JP, 2020, ICES J MAR SCI, V77, P2882, DOI 10.1093/icesjms/fsaa161
   Kim E, 2018, INT J DISAST RISK RE, V28, P595, DOI 10.1016/j.ijdrr.2018.01.009
   Kiszka JJ, 2016, MAR ECOL PROG SER, V560, P237, DOI 10.3354/meps11945
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lamaury Y, 2021, WATER-SUI, V13, DOI 10.3390/w13030337
   Lei YD, 2014, NAT HAZARDS, V70, P609, DOI 10.1007/s11069-013-0831-7
   Lhomme S., 2010, Bulletin de lAssociation de geographes francais, Association des Geographes Francais, P487, DOI DOI 10.3406/BAGF.2010.8193
   Long N, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8050387
   MacAskill K, 2014, PROC ECON FINANC, V18, P667, DOI 10.1016/S2212-5671(14)00989-7
   Magnan AK, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01933-z
   Manyena B, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.06.011
   Masselink G, 2020, Water, V11, P2587, DOI [10.3390/w12051368,2019, DOI 10.3390/W12051368,2019]
   McCool SF, 2004, ENVIRON MANAGE, V33, P294, DOI 10.1007/s00267-003-0084-4
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Méheux K, 2007, NAT HAZARDS, V40, P429, DOI 10.1007/s11069-006-9001-5
   Merkle A, 2000, ECOL MODEL, V130, P39, DOI 10.1016/S0304-3800(00)00213-1
   Muthusankar G, 2017, NAT HAZARDS, V85, P637, DOI 10.1007/s11069-016-2583-7
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100290
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Oppenheimer M., Sea Level Rise and Implications for Low-Lying Islands, Coasts and Communities-Special Report on the Ocean and Cryosphere in a Changing Climate
   Peacock WalterGillis., 2010, Advancing the resilience of coastal localities: developing, implementing and sustaining the use of coastal resilience indicators: a final report, DOI DOI 10.13140/RG.2.2.35146.80324
   Pimm SL, 2019, NAT SUSTAIN, V2, P895, DOI 10.1038/s41893-019-0399-7
   Rezaei H, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15118777
   Rieucau G, 2018, J FISH BIOL, V93, P119, DOI 10.1111/jfb.13645
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Santos PP, 2020, J ENVIRON MANAGE, V260, DOI 10.1016/j.jenvman.2020.110127
   Satour N, 2021, NAT HAZARD EARTH SYS, V21, P1101, DOI 10.5194/nhess-21-1101-2021
   Schonthaler K., 2010, Establishment of an Indicator Concept for the German Strategy on Adaptation to Climate Change
   Serre D., 2022, The Palgrave Handbook of Climate Resilient Societies, P1, DOI [10.1007/978-3-030-32811-5_129-2, DOI 10.1007/978-3-030-32811-5_129-2]
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Serre D, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160707002
   Song JL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190701
   Taylor S, 2016, TROP CONSERV SCI, V9, P203, DOI 10.1177/194008291600900111
   Toimil A, 2020, COAST ENG, V156, DOI 10.1016/j.coastaleng.2019.103611
   Toubes DR, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4040083
   Toubin M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000229
   Townend BIH, 2021, SCI TOTAL ENVIRON, V783, DOI 10.1016/j.scitotenv.2021.146880
   Tumini I, 2017, NAT HAZARDS, V85, P1363, DOI 10.1007/s11069-016-2630-4
   Twigg J., 2009, Characteristics of a disaster-resilient community
   Wheater H, 2009, LAND USE POLICY, V26, pS251, DOI 10.1016/j.landusepol.2009.08.019
   Williams AT, 2016, J COASTAL RES, V32, P1196, DOI 10.2112/JCOASTRES-D-15-00213.1
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
NR 101
TC 1
Z9 1
U1 3
U2 4
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD NOV 1
PY 2024
VL 257
AR 107350
DI 10.1016/j.ocecoaman.2024.107350
EA SEP 2024
PG 15
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA F4M9N
UT WOS:001309587500001
OA Green Submitted, hybrid
DA 2025-04-22
ER

PT J
AU Summers, JK
   Sanderson, R
   Trahan, R
   Hendricks, K
   Ruffin, M
   Williams, A
   Lamper, A
   Lowery, M
   Harwell, LC
AF Summers, J. Kevin
   Sanderson, Rachelle
   Trahan, Rachelle
   Hendricks, Kendra
   Ruffin, Mia
   Williams, Adam
   Lamper, Andrea
   Lowery, Mason
   Harwell, Linda C.
TI Development of Community-Level Capacity of Resilience to Natural Hazards
   for Environmental- and Social-Justice-Challenged Communities: 1.
   Approach, Concepts, and Assessment of Existing Information
SO SUSTAINABILITY
LA English
DT Article
DE resilience; community; capacity building; CRSI; climate; natural hazards
ID URBAN RESILIENCE; DISASTER RESILIENCE; FRAMEWORK; KNOWLEDGE; DYNAMICS;
   SYSTEMS; ENHANCE; HEALTH; MODEL
AB Impoverished and under-served communities are often exposed to the worst environmental and climate hazards. Identifying these communities and building their resilience capacity to withstand such hazards is a vital justice aspect of environmental management. Building community resilience requires five activities: (1) examination of existing information, (2) community engagement and assessment of local knowledge, (3) development of reasonable strategies to build resilience, (4) implementation and these strategies, and (5) monitoring and transability of the process. This manuscript examines the first component of this process. The attributes of multiple parishes in Louisiana are examined using available data and existing models of human well-being, community resilience, and environmental/climate/socioeconomic justice. These existing models and tools were used to determine parish-level resilience to natural hazards including flooding, hurricanes, and other potential natural climatic hazards in central Louisiana (U.S.). Through consultation with state officials and local community groups, candidate environmental justice (EJ) and social justice (SJ) communities were selected to develop resilience capacity enhancement plans to address potential adverse parish and community outcomes of natural hazard events. Of the available parishes, St. Helena Parish was selected as an entity that would significantly benefit from resilience capacity building. The remaining two activities, community engagement and strategy development, will be examined in sister manuscripts. Continuing studies, to be described elsewhere, will describe community engagement and the determination of strategies, implementation plans, and the monitoring of the success of these strategic implementations.
C1 [Summers, J. Kevin; Harwell, Linda C.] Gulf Ecosyst Measurement & Modeling Div, 1 Sabine Isl Dr, Gulf Breeze, FL 32561 USA.
   [Sanderson, Rachelle; Trahan, Rachelle; Hendricks, Kendra; Ruffin, Mia] Capital Reg Planning Commiss, 14734 S Harrells Ferry Rd,Suite B, Baton Rouge, LA 70816 USA.
   [Sanderson, Rachelle] Inst Sustainable Communities, Hammond, LA 70401 USA.
   [Trahan, Rachelle] Coastal Sustainabil Studio, Lafayette, LA 70503 USA.
   [Hendricks, Kendra] Build Baton Rouge, 725 Main St, Baton Rouge, LA 70802 USA.
   [Williams, Adam; Lamper, Andrea; Lowery, Mason] Oak Ridge Associated Univ, 1 Sabine Isl Dr, Gulf Breeze, FL 32561 USA.
   [Lamper, Andrea] CDM Smith, 670 N Commercial St,Unit 208, Manchester, NH 03101 USA.
   [Lowery, Mason] Oasis Syst LLC, 306 West F Ave, Eglin AFB, FL 32542 USA.
RP Summers, JK (corresponding author), Gulf Ecosyst Measurement & Modeling Div, 1 Sabine Isl Dr, Gulf Breeze, FL 32561 USA.
EM summers.kevin@epa.gov; rsanderson@sustain.org; kenhen2011@gmail.com;
   ruffinmia@yahoo.com; williams.adam@epa.gov; lamperam@cdmsmith.com;
   harwell.linda@epa.gov
OI Williams, Adam/0009-0007-0549-8142; Summers, James/0000-0001-9002-3991;
   Harwell, Linda/0000-0002-0445-6238
FU U.S. Environmental Protecion Agency
FX No Statement Available
CR Aldrich DanielP., 2017, RETHINKING RESILIENC, P357, DOI [DOI 10.1007/978-3-319-50171-0_23, DOI 10.1007/978-3-319-50171-023]
   Anderson MJ, 2022, TRANSPORT RES D-TR E, V106, DOI 10.1016/j.trd.2022.103218
   [Anonymous], 2023, About. Climate and Economic Justice Screening Tool
   Atallah D.G., 2019, Journal of Humanistic Psychology, P1, DOI [https://doi.org/10.1177/0022167818825305, DOI 10.1177/0022167818825305, 10.1177/0022167818825305]
   Aydin C, 2016, PROC TECH, V22, P382, DOI 10.1016/j.protcy.2016.01.027
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Berkes F., 1995, Biodiversity conservation: problems and policies. Papers from the Biodiversity Programme, Beijer International Institute of Ecological Economics, Royal Swedish Academy of Sciences., P281
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Blackman D, 2017, TECHNOL FORECAST SOC, V121, P89, DOI 10.1016/j.techfore.2016.09.018
   Borie M, 2019, GLOBAL ENVIRON CHANG, V54, P203, DOI 10.1016/j.gloenvcha.2019.01.001
   Bowen F, 2010, J BUS ETHICS, V95, P297, DOI 10.1007/s10551-009-0360-1
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cajete GA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229569
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Coles E., 2004, Australian Journal of Emergency Management, V19, P6
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fos Peter John, 2021, European Journal of Environment and Public Health, V5
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Grace D, 2013, LIBR TRENDS, V61, P513, DOI 10.1353/lib.2013.0008
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kim H, 2018, GEOFORUM, V96, P129, DOI 10.1016/j.geoforum.2018.08.006
   Links JM, 2018, DISASTER MED PUBLIC, V12, P127, DOI 10.1017/dmp.2017.39
   Ma ZX, 2021, NAT HAZARDS, V108, P567, DOI 10.1007/s11069-021-04695-9
   Malapane OL, 2022, LAND-BASEL, V11, DOI 10.3390/land11081167
   Mayer B, 2019, CURR ENV HLTH REP, V6, P167, DOI 10.1007/s40572-019-00239-3
   McAllister T., 2013, Developing guidelines and standards for disaster resilience of the built environment: A research needs assessment, P1
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Morton MJ, 2013, AM J PUBLIC HEALTH, V103, P1158, DOI 10.2105/AJPH.2013.301354
   Nagenborg M, 2019, SUSTAIN RESIL INFRAS, V4, P103, DOI 10.1080/23789689.2019.1607658
   O'Grady N, 2022, GEOFORUM, V132, P32, DOI 10.1016/j.geoforum.2022.03.021
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Patel RB, 2018, INT J DISAST RISK RE, V27, P161, DOI 10.1016/j.ijdrr.2017.10.003
   Paton D., 2001, Disaster Prevent Manag, V10, P270, DOI [10.1108/EUM0000000005930, DOI 10.1108/EUM0000000005930, https://doi.org/10.1108/EUM0000000005930]
   Pfefferbaum B, 2015, AM BEHAV SCI, V59, P238, DOI 10.1177/0002764214550298
   Poortinga W, 2012, HEALTH PLACE, V18, P286, DOI 10.1016/j.healthplace.2011.09.017
   Ribeiro D., 2015, Enhancing Community Resilience through Energy Efficiency
   Shava S., 2009, Indilinga Afr. J. Indig. Knowl. Syst, V8, P218
   Smith D, 2020, ASCE-ASME J RISK U A, V6, DOI 10.1061/AJRUA6.0001044
   Smith Lisa M., 2012, EPA/600/R-12/023
   Summers JK, 2017, GEOHEALTH, V1, P151, DOI 10.1002/2016GH000047
   Summers JK, 2014, SUSTAINABILITY-BASEL, V6, P3915, DOI 10.3390/su6063915
   Summers K., 2020, Sustainable and Healthy Communities Research Program Technical Report. EPA600/R- 20/274
   Summers K., 2020, Community Quality-of-Life Indicators: Best Cases VIII, P89
   Terrell KA, 2022, ENVIRON JUSTICE, V15, P286, DOI 10.1089/env.2020.0021
   The Rockefeller Foundation and Arup City Resilience Framework, 2015, Ove Arup and Partners Interactions 2014
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   USEPA, 2023, EJScreen: Environmental justice screening and mapping tool
   Veil SR, 2014, RISK ANAL, V34, P721, DOI 10.1111/risa.12130
   Wilkin J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071943
   Yumagulova L, 2019, ENVIRON SCI POLICY, V100, P66, DOI 10.1016/j.envsci.2019.05.022
   Zhang H., 2018, Science and Technology in Disaster Risk Reduction in Asia, P57, DOI [DOI 10.1016/B978-0-12-812711-7.00005-5, 10.1016/B978-0-12-812711-7.00005-5]
   Zobel CW, 2014, COMPUT OPER RES, V42, P83, DOI 10.1016/j.cor.2011.09.024
NR 57
TC 3
Z9 3
U1 10
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2024
VL 16
IS 3
AR 963
DI 10.3390/su16030963
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA HM4Q4
UT WOS:001159913700001
PM 38756353
OA gold
DA 2025-04-22
ER

PT J
AU Bhanjee, S
   Zhang, SM
AF Bhanjee, Sheliza
   Zhang, Sumei
TI Do urban planning and sprawl affect social vulnerability? An assessment
   of Dar es Salaam
SO DEVELOPMENT SOUTHERN AFRICA
LA English
DT Article
DE Urban planning; Dar es Salaam; land use; social vulnerability; informal;
   sprawl
ID CLIMATE-CHANGE; DISASTER RISK; ADAPTATION; CITY; SETTLEMENTS;
   POPULATION; RESILIENCE; DYNAMICS; POVERTY; GROWTH
AB This study explores connections between urban planning, sprawl, and social vulnerability factors in the Sub-Saharan context with the aim to investigate the influence of broader planning and land use aspects in quantitative urban social vulnerability assessment. Dar es Salaam, Tanzania serves as the study area because of its substantial informal development, sprawling, and availability of reliable datasets for recent years. Two main research questions are proposed: does urban planning reduce social vulnerability (measured by quality of life and mobility) and does urban sprawl contribute to social vulnerability in this city? Results indicate formally planned urban areas are associated with higher levels of quality of life and mobility. Further results indicate no significant impact of sprawl on social vulnerability factors of residents in the general urban areas of Dar es Salaam, however, informal sprawl is linked to higher social vulnerability.
C1 [Bhanjee, Sheliza; Zhang, Sumei] Univ Louisville, Dept Urban & Publ Affairs, Louisville, KY 40292 USA.
C3 University of Louisville
RP Bhanjee, S (corresponding author), 426 West Bloom St, Louisville, KY 40208 USA.
EM sheliza.bhanjee@gmail.com
OI Zhang, Sumei/0000-0001-5779-3281
CR Adelekan I, 2015, INT DEV PLANN REV, V37, P33, DOI 10.3828/idpr.2015.4
   Andreasen MH, 2017, URBAN STUD, V54, P2342, DOI 10.1177/0042098016643303
   Andreasen MH, 2017, J TRANSP GEOGR, V62, P20, DOI 10.1016/j.jtrangeo.2017.05.005
   [Anonymous], 2017, GEOGRAPHY RES FORUM
   [Anonymous], 2012, APPL GEOGR
   Bagstad KJ, 2007, ECOL ECON, V63, P285, DOI 10.1016/j.ecolecon.2006.09.019
   Baker JL, 2012, URB DEV SER, P1, DOI 10.1596/978-0-8213-8845-7
   Beyer LI, 2016, DEV SO AFR, V33, P3, DOI 10.1080/0376835X.2015.1115739
   Bhanjee S., 2018, PAP APPL GEOGR, V4, P292, DOI [https://doi.org/10.1080/23754931.2018.1471413, DOI 10.1080/23754931.2018.1471413]
   Bhanjee S, 2019, THESIS
   Blumenberg E, 2004, J AM PLANN ASSOC, V70, P269, DOI 10.1080/01944360408976378
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Borel-Saladin J, 2018, URBAN FOOD SYSTEMS G, P68
   Briggs J, 1999, SCOT GEOGR J, V115, P269, DOI 10.1080/00369229918737070
   Cho SY, 2017, NAT HAZARDS, V88, P633, DOI 10.1007/s11069-017-2869-4
   Cobbinah P.B., 2012, INT J SOCIAL HUMAN S, V6, pe397
   Congedo L., 2013, Investigating the Relationship between Land Cover and Vulnerability to Climate Change in Dar es Salaam
   Congedo L, 2015, CURR OPIN ENV SUST, V13, P1, DOI 10.1016/j.cosust.2014.12.002
   COULIBALY J.Y., 2015, American Journal of Climate Change, V4, P282, DOI DOI 10.4236/AJCC.2015.43023
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Danumah J.H., 2016, GEOENVIRONMENTAL DIS, DOI [10.1186/s40677-016-0044-y, DOI 10.1186/S40677-016-0044-Y, 10.1186/s40677]
   Dodman D., 2011, Tomorrow is too late: Respoinding to social and climate vulnerability in dar es salaam
   Dodman D, 2017, INT J DISAST RISK RE, V26, P7, DOI 10.1016/j.ijdrr.2017.06.029
   Ebert A, 2009, NAT HAZARDS, V48, P275, DOI 10.1007/s11069-008-9264-0
   Eguaroje O.E., 2015, World Environment, V5, P149, DOI [10.5923/j.env.20150504.03, DOI 10.5923/J.ENV.20150504.03, 10.5923/j.env.20150504]
   Eriksen EO, 2008, ROUT STUD DEMOCR EUR, P1
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Fang CL, 2016, J GEOGR SCI, V26, P153, DOI 10.1007/s11442-016-1260-9
   Fernandez P, 2016, GEOMAT NAT HAZ RISK, V7, P1367, DOI 10.1080/19475705.2015.1052021
   Few R., 2003, PROG DEV STUD, V3, P43, DOI DOI 10.1191/1464993403PS049RA
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Hambati Herbert, 2013, International Journal of Environmental Studies, V70, P919, DOI 10.1080/00207233.2013.850796
   Hambati Herbert, 2015, International Journal of Geospatial and Environmental Research, V2
   Herslund LB, 2016, NAT HAZARDS, V82, pS149, DOI 10.1007/s11069-015-1856-x
   Hill A, 2011, MODELING SIMULATING
   Hill G, 2014, SCEME STUD ECON METH, P165
   Jones C, 2007, J UNIV TEACH LEARN P, V4
   Kebede AS, 2012, REG ENVIRON CHANGE, V12, P81, DOI 10.1007/s10113-011-0239-4
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kelman I, 2016, NAT HAZARDS, V82, pS129, DOI 10.1007/s11069-016-2294-0
   Kironde JML, 2006, LAND USE POLICY, V23, P460, DOI 10.1016/j.landusepol.2005.07.004
   Kironde JML, 2000, HABITAT INT, V24, P151
   Kiunsi R, 2013, ENVIRON URBAN, V25, P321, DOI 10.1177/0956247813489617
   Kombe J. W. M., 1994, Habitat International, V18, P23
   Kombe W., 2006, GOVERNANCE INFORMAL
   Kombe WJ, 2005, HABITAT INT, V29, P113, DOI 10.1016/S0197-3975(03)00076-6
   Krellenberg K, 2017, PROG HUM GEOG, V41, P408, DOI 10.1177/0309132516645959
   Lankao PR, 2011, CURR OPIN ENV SUST, V3, P142, DOI 10.1016/j.cosust.2010.12.016
   Lawal O, 2015, JAMBA-J DISASTER RIS, V7, DOI 10.4102/jamba.v7i1.155
   LEE Y, 2014, ENV IMPACT ASSESS RE, V44
   LYIMO JG, 2010, ENV EC, V1, P89
   Mavhura E, 2017, GEOFORUM, V86, P103, DOI 10.1016/j.geoforum.2017.09.008
   Mkalawa C.C., 2014, Urban, Planning and Transport Research, V2, P423, DOI [DOI 10.1080/21650020.2014, DOI 10.1080/21650020.2014.978951, https://doi.org/10.1080/21650020.2014.978951]
   Mkalawa CC., 2016, INT J URBAN PLANNING, V31, P1138
   Moser C., 1996, Confronting Crisis : A Summary of Household Responses to Poverty and Vulnerability in Four, Poor Urban Communities
   Mutabazi KD, 2015, REG ENVIRON CHANGE, V15, P1243, DOI 10.1007/s10113-015-0772-7
   Mutanga SS, 2013, MANAGING VULNERABILI
   Nuwagaba A, 2003, HUMAN IMPACT ENV SUS
   Olvera LourdesD., 2003, TRANSPORT POLICY, V10, P287, DOI DOI 10.1016/S0967-070X(03)00056-8
   Pauleit S, 2015, FUTURE CITY, V4
   Pelling M, 2002, INT DEV PLANN REV, V24, P59, DOI 10.3828/idpr.24.1.4
   Pesaresi M, 2013, IEEE J-STARS, V6, P2102, DOI 10.1109/JSTARS.2013.2271445
   Porio E, 2011, ASIAN J SOC SCI, V39, P425, DOI 10.1163/156853111X597260
   Quarantelli EL, 2003, BUILDING SAFER CITIE, P211
   Räsänen A, 2016, REG ENVIRON CHANGE, V16, P2291, DOI 10.1007/s10113-016-0974-7
   Rasmussen M.I., 2013, Planumthe Journal of Urbanism, V1, P26
   Reckien D, 2018, REG ENVIRON CHANGE, V18, P1439, DOI 10.1007/s10113-017-1273-7
   Richmond A, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2010022
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Salami RO, 2017, JAMBA-J DISASTER RIS, V9
   Salas J, 2018, J CLEAN PROD, V179, P544, DOI 10.1016/j.jclepro.2018.01.088
   Sarris A, 2006, CSAE C RED POV IN CA
   Sliuas RV, 2004, THESIS
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   Tipple G., 2005, Journal of Contingencies and Crisis Management, V13, P66, DOI [10.1111/j.1468-5973.2005.00458.x, DOI 10.1111/J.1468-5973.2005.00458.X]
   UN Habitat, 2015, HAB 3 ISS PAP 22 INF
   UN Habitat, 2010, CIT ACT UPGR UNPL UN
   United Nations Department of Economic and Social Affairs Population Division, 2015, ESAPWP241 US
   Wolf S, 2013, INT J CLIM CHANG STR, V5, P54, DOI 10.1108/17568691311299363
NR 79
TC 6
Z9 6
U1 3
U2 40
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0376-835X
EI 1470-3637
J9 DEV SO AFR
JI Dev. South. Afr.
PD MAR 4
PY 2021
VL 38
IS 2
BP 189
EP 207
DI 10.1080/0376835X.2020.1818549
EA SEP 2020
PG 19
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA RO8KS
UT WOS:000571292900001
DA 2025-04-22
ER

PT J
AU Li, SQ
AF Li, Si-Qi
TI Empirical resilience and vulnerability model of regional group structure
   considering optimized macroseismic intensity measure
SO SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
LA English
DT Article
DE Optimized macroseismic intensity; Group structure resilience and
   vulnerability&nbsp; model; Multidimensional typical macrointensity&nbsp;
   comparison; Regional structure resilience domain; Field observation and
   analysis of buildings
ID SEISMIC DAMAGE
AB An optimized macroseismic intensity index, which integrates the traditional macroseismic intensity scale and the instrument intensity evaluation model, is proposed to evaluate regional buildings' empirical resilience and vulnerability. The traditional failure probability of the group structure is modified and improved. The parameters and probability indexes used to assess the resilience and vulnerability of group structure in urban and rural areas are innovatively proposed. The empirical group structure seismic loss data from the actual field investigation of the Jiuzhaigou earthquake in Sichuan Province, China, on August 8, 2017, were statistically analysed, the vulnerability of the sample data was assessed by using the optimized Chinese seismic intensity scale (OCSIS-20), European Macroseismic Scale (EMS-98) and the Modified Mercalli Intensity (MMI), and the assessment and comparison model of multidimensional modal resilience and probability index was established. To improve the rationality and accuracy of typical building resilience in the macrointensity quantification region, a new quantitative model of resilience and vulnerability based on optimizing the macrointensity index and updating the lognormal distribution is proposed, and the group structure resilience comparison models for typical macro-intensity standard evaluation are established. The structural vulnerability database of the Jiuzhaigou earthquake is utilized to verify the rationality of the innovative model. Ultimately, field loss inspection and damage mechanism analysis are conducted based on the characteristics of regional structural seismic resilience and the actual vulnerability of the Jiuzhaigou earthquake.
C1 [Li, Si-Qi] Heilongjiang Univ, Sch Civil Engn, 74, Xuefu Rd, Harbin, Peoples R China.
   [Li, Si-Qi] Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin, Peoples R China.
   [Li, Si-Qi] Longjian Rd & Bridge Co Ltd, 109, Songshan Rd, Harbin, Peoples R China.
C3 Heilongjiang University; Harbin Institute of Technology
RP Li, SQ (corresponding author), Heilongjiang Univ, Sch Civil Engn, 74, Xuefu Rd, Harbin, Peoples R China.; Li, SQ (corresponding author), Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin, Peoples R China.; Li, SQ (corresponding author), Longjian Rd & Bridge Co Ltd, 109, Songshan Rd, Harbin, Peoples R China.
EM lisiqi@hlju.edu.cn
RI Li, Si-Qi/AFT-4132-2022
OI Li, Si-Qi/0000-0002-2761-9116
FU Basic Scientific Research Business Expenses of Provincial Universities
   in Heilongjiang Province;  [2021-KYYWF-0044]
FX Funding The research described in this paper was financially supported
   by the Basic Scientific Research Business Expenses of Provincial
   Universities in Heilongjiang Province (2021-KYYWF-0044) .
CR [Anonymous], 2008, GB/T 17742
   [Anonymous], 2020, GB/T 17742
   Ardeleanu L, 2020, NAT HAZARDS, V103, P2021, DOI 10.1007/s11069-020-04070-0
   Bernardo V, 2022, B EARTHQ ENG, DOI 10.1007/s10518-022-01434-8
   Chalabi M, 2022, NAT HAZARDS, V114, P1, DOI 10.1007/s11069-022-05377-w
   Chen WY, 2022, J CLEAN PROD, V350, DOI 10.1016/j.jclepro.2022.131418
   Chettri N, 2022, J EARTHQ ENG, V26, P5221, DOI 10.1080/13632469.2020.1868362
   Chieffo N, 2022, ENG FAIL ANAL, V136, DOI 10.1016/j.engfailanal.2022.106207
   Chieffo N, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11120667
   China Earthquake Administration and National Bureau of Statistics, 2001, COMP LOSS ASS EARTH
   China Earthquake Administration and National Bureau of Statistics, 1996, COMP LOSS ASS EARTH
   China Earthquake Administration and National Bureau of Statistics, 2005, COMP LOSS ASS EARTH
   Dai JW, 2018, ENG DAMAGE JIUZHAIGO
   Demirbas N, 2022, STRUCTURES, V41, P147, DOI 10.1016/j.istruc.2022.05.005
   Demirel IO, 2022, ENG FAIL ANAL, V137, DOI 10.1016/j.engfailanal.2022.106277
   Du K, 2019, B SEISMOL SOC AM, V109, P284, DOI 10.1785/0120180216
   Formisano A, 2023, INT J ARCHIT HERIT, V17, P262, DOI 10.1080/15583058.2022.2104143
   Gautam D., 2022, SOIL DYN EARTHQ ENG, V160, DOI [10.1016/j.soildyn.2022.107351, DOI 10.1016/J.SOILDYN.2022.107351]
   Gong MS, 2015, NAT HAZARDS, V77, P847, DOI 10.1007/s11069-015-1631-z
   Grillanda N, 2020, ENG STRUCT, V212, DOI 10.1016/j.engstruct.2020.110441
   Karakas CC, 2022, B EARTHQ ENG, V20, P1685, DOI 10.1007/s10518-021-01292-w
   Karic A, 2022, B EARTHQ ENG, V20, P4117, DOI 10.1007/s10518-022-01367-2
   Kassem MM, 2020, AIN SHAMS ENG J, V11, P849, DOI 10.1016/j.asej.2020.04.001
   Korswagen PA, 2022, B EARTHQ ENG, DOI 10.1007/s10518-022-01404-0
   Lagomarsino S, 2006, B EARTHQ ENG, V4, P415, DOI 10.1007/s10518-006-9024-z
   Laguardia R, 2023, J EARTHQ ENG, V27, P1126, DOI 10.1080/13632469.2022.2038726
   Li SQ, 2022, CASE STUD CONSTR MAT, V17, DOI 10.1016/j.cscm.2022.e01420
   Li SQ, 2022, EARTHQ STRUCT, V22, P609, DOI 10.12989/eas.2022.22.6.609
   Li SQ, 2022, CASE STUD CONSTR MAT, V16, DOI 10.1016/j.cscm.2022.e01094
   Li SQ, 2022, GEOMAT NAT HAZ RISK, V13, P1395, DOI 10.1080/19475705.2022.2077146
   Li SQ, 2022, EARTHQ STRUCT, V22, P387, DOI 10.12989/eas.2022.22.4.387
   Li SQ, 2022, STRUCTURES, V39, P147, DOI 10.1016/j.istruc.2022.03.024
   Li SQ, 2022, B EARTHQ ENG, V20, P5161, DOI 10.1007/s10518-022-01395-y
   Li SQ, 2021, STRUCTURES, V34, P2544, DOI 10.1016/j.istruc.2021.09.023
   Li SQ, 2020, NAT HAZARDS, V104, P705, DOI 10.1007/s11069-020-04187-2
   Li SQ, 2021, EARTHQ SPECTRA, V37, P449, DOI 10.1177/8755293020944174
   Liu YH, 2019, GEOMAT NAT HAZ RISK, V10, P958, DOI 10.1080/19475705.2018.1524400
   Longobardi G, 2022, ENG FAIL ANAL, V138, DOI 10.1016/j.engfailanal.2022.106306
   Mehrbod A, 2023, INT J ARCHIT HERIT, V17, P1791, DOI 10.1080/15583058.2022.2071182
   Musson RMW, 2010, J SEISMOL, V14, P413, DOI 10.1007/s10950-009-9172-0
   Nicodemo G, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101894
   Oumedour A, 2022, EARTHQ STRUCT, V22, P83, DOI 10.12989/eas.2022.22.1.083
   Qu Z, 2015, EARTHQ SPECTRA, V31, P1859, DOI 10.1193/012914EQS023T
   Rajkumari S, 2022, STRUCTURES, V40, P303, DOI 10.1016/j.istruc.2022.04.023
   Sbrogiò L, 2023, INT J ARCHIT HERIT, V17, P1017, DOI 10.1080/15583058.2021.2011474
   Sheibani M, 2022, EARTHQ SPECTRA, V38, P2813, DOI 10.1177/87552930221101415
   Sheshov V, 2022, B EARTHQ ENG, V20, P795, DOI 10.1007/s10518-021-01271-1
   Soltane MA, 2022, B EARTHQ ENG, DOI 10.1007/s10518-022-01437-5
   Sun BT, 2022, J EARTHQ ENG, V26, P764, DOI 10.1080/13632469.2019.1692742
   Talebi M, 2022, SOIL DYN EARTHQ ENG, V159, DOI 10.1016/j.soildyn.2022.107354
   Verderame GM, 2022, SOIL DYN EARTHQ ENG, V157, DOI 10.1016/j.soildyn.2022.107199
   Wald DJ, 2022, EARTHQ SPECTRA, V38, P756, DOI 10.1177/87552930211030298
   Wang HX, 2022, SOIL DYN EARTHQ ENG, V157, DOI 10.1016/j.soildyn.2022.107218
   Wang MG, 2022, STRUCTURES, V40, P1056, DOI 10.1016/j.istruc.2022.04.058
   Ye ZH, 2022, B EARTHQ ENG, V20, P5383, DOI 10.1007/s10518-022-01410-2
   Zhong J, 2022, STRUCTURES, V36, P752, DOI 10.1016/j.istruc.2021.12.041
   Zucconi M, 2022, B EARTHQ ENG, V20, P4097, DOI 10.1007/s10518-022-01361-8
NR 57
TC 33
Z9 33
U1 3
U2 18
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0267-7261
EI 1879-341X
J9 SOIL DYN EARTHQ ENG
JI Soil Dyn. Earthq. Eng.
PD JAN
PY 2023
VL 164
AR 107630
DI 10.1016/j.soildyn.2022.107630
EA NOV 2022
PG 29
WC Engineering, Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA 6C6GT
UT WOS:000882110900001
DA 2025-04-22
ER

PT J
AU Eckersley, P
   England, K
   Ferry, L
AF Eckersley, Peter
   England, Kit
   Ferry, Laurence
TI Sustainable development in cities: collaborating to improve urban
   climate resilience and develop the business case for adaptation
SO PUBLIC MONEY & MANAGEMENT
LA English
DT Article
DE Business case; climate adaptation; local government; resilience; wicked
   issues
ID JOINED-UP GOVERNMENT; LOCAL-GOVERNMENT
AB Fragmented governance contexts make it difficult for public bodies to direct and control climate adaptation initiatives. This paper highlights how Newcastle City Council collaborated with local partners to create a shared understanding of how a major storm could affect public services across North East England. This helped the authority to develop a business case to invest in infrastructure that will help to protect future generations from severe weather events.
C1 [Eckersley, Peter] Nottingham Trent Univ, Publ Policy & Management, Nottingham, England.
   [England, Kit] Sniffer, Climate Ready Clyde, Glasgow City Reg Climate Change Adaptat Approach, Glasgow, Lanark, Scotland.
   [Ferry, Laurence] Univ Durham, Business Sch, Accounting, Durham, England.
C3 Nottingham Trent University; Durham University
RP Eckersley, P (corresponding author), Nottingham Trent Univ, Publ Policy & Management, Nottingham, England.
RI Eckersley, Peter/I-9980-2019
OI Eckersley, Peter/0000-0001-9048-8529; Ferry,
   Laurence/0000-0002-6686-4528
CR Adams CA, 2011, SUSTAIN ACCOUNT MANA, V2, P165, DOI 10.1108/20408021111162191
   [Anonymous], 2014, World's population increasingly urban with more than half living in urban areas
   [Anonymous], 2013, Buy-to-let index
   Bebbington J., 2014, Sustainability accounting and accountability
   Bebbington J, 2014, ACCOUNT ORG SOC, V39, P395, DOI 10.1016/j.aos.2014.01.003
   Blue Green Cities, 2016, DEL EV MULT FLOOD RI
   Boas I, 2016, ENVIRON POLIT, V25, P613, DOI 10.1080/09644016.2016.1160479
   Boyce G., 2011, INCORPORATING CLIMAT
   Brink E, 2018, ENVIRON POLICY GOV, V28, P82, DOI 10.1002/eet.1795
   Bulkeley H., 2003, Cities and Climate Change
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Climate North East, 2008, N E ENGL CLIM CHANG
   *COMM CLIM CHANG, 2016, UK CLIM CHANG RISK A
   Davies JS, 2009, PUBLIC ADMIN, V87, P80, DOI 10.1111/j.1467-9299.2008.01740.x
   Den Uyl RM, 2018, ENVIRON POLIT, V27, P341, DOI 10.1080/09644016.2017.1386341
   Eckersley P., 2018, POWER CAPACITY LOCAL
   Ferry L, 2016, PUBLIC MONEY MANAGE, V36, P241, DOI 10.1080/09540962.2016.1163021
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Giddens Anthony., 2009, POLITICS CLIMATE CHA
   Gray R., 1996, ACCOUNTING ACCOUNTAB
   Heidrich O, 2013, CLIMATIC CHANGE, V120, P771, DOI 10.1007/s10584-013-0846-9
   Henderson T., 2016, NEWCASTLE HELPS LEAD
   Hopwood AG, 2009, ACCOUNT ORG SOC, V34, P433, DOI 10.1016/j.aos.2009.03.002
   Jenkins GJ, 2010, UK climate projections briefing report
   Joseph J, 2013, POLITICS-OXFORD, V33, P253, DOI 10.1111/1467-9256.12010
   Kavangh D, 2001, PARLIAMENT AFF, V54, P1, DOI 10.1093/pa/54.1.1
   Klein J, 2017, ENVIRON PLAN C-POLIT, V35, P1055, DOI 10.1177/0263774X16680819
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Mees H, 2017, J ENVIRON POL PLAN, V19, P374, DOI 10.1080/1523908X.2016.1223540
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Newcastle City Council, 2010, CIT CLIM CHANG STRAT
   Newcastle City Council, 2013, NEWB CULV COLL CIT
   Nicholls R.J., 2008, Ranking port cities with high exposure and vulnerability to climate extremes: Exposure estimates, DOI [DOI 10.1787/011766488208, 10.1787/011766488208]
   O'Donnell EC, 2017, URBAN WATER J, V14, P964, DOI 10.1080/1573062X.2017.1279190
   Peters BG, 1998, PUBLIC ADMIN, V76, P295, DOI 10.1111/1467-9299.00102
   Pollitt C, 2016, PUBLIC MONEY MANAGE, V36, P78, DOI 10.1080/09540962.2016.1118925
   Pollitt C, 2015, PUBLIC MONEY MANAGE, V35, P181, DOI 10.1080/09540962.2015.1027490
   Priemus Hugo., 2008, DECISION MAKING MEGA
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rodin Judith., 2015, The Resilience Dividend: Managing Disruption, Avoiding Disaster, and Growing Stronger in an Unpredictable World
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Torabi E, 2017, URBAN POLICY RES, V35, P312, DOI 10.1080/08111146.2017.1294538
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   Walsh CL, 2013, P I CIVIL ENG-ENG SU, V166, P98, DOI 10.1680/ensu.12.00033
   Wilson R, 2016, PUBLIC MONEY MANAGE, V36, P1, DOI 10.1080/09540962.2016.1103408
   World Bank, 2010, CIT CLIM CHAND URG A
NR 46
TC 10
Z9 10
U1 0
U2 14
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0954-0962
EI 1467-9302
J9 PUBLIC MONEY MANAGE
JI Public Money Manage.
PY 2018
VL 38
IS 5
BP 335
EP 344
DI 10.1080/09540962.2018.1477642
PG 10
WC Business, Finance; Public Administration
WE Social Science Citation Index (SSCI)
SC Business & Economics; Public Administration
GA GI2JF
UT WOS:000434195500005
OA Green Accepted
DA 2025-04-22
ER

PT J
AU You, YF
   Pan, SF
AF You, Yongfa
   Pan, Shufen
TI Urban Vegetation Slows Down the Spread of Coronavirus Disease (COVID-19)
   in the United States
SO GEOPHYSICAL RESEARCH LETTERS
LA English
DT Article
ID LAND-COVER DATABASE; GREEN SPACE; HEALTH; TEMPERATURE; ASSOCIATION;
   HUMIDITY; OUTBREAK; CITIES
AB Coronavirus Disease 2019 (COVID-19) is spreading around the world, and the United States has become the epicenter of the global pandemic. However, little is known about the causes behind the large spatial variability of the COVID-19 incidence. Here we use path analysis model to quantify the influence of four potential factors (urban vegetation, population density, air temperature, and baseline infection) in shaping the highly heterogeneous transmission patterns of COVID-19 across the United States. Our results show that urban vegetation can slow down the spread of COVID-19, and each 1% increase in the percentage of urban vegetation will lead to a 2.6% decrease in cumulative COVID-19 cases. Additionally, the mediating role of urban vegetation suggests that urban vegetation could reduce increases in cumulative COVID-19 cases induced by population density and baseline infection. Our findings highlight the importance of urban vegetation in strengthening urban resilience to public health emergencies.
C1 [You, Yongfa; Pan, Shufen] Auburn Univ, Sch Forestry & Wildlife Sci, Int Ctr Climate & Global Change Res, Auburn, AL 36849 USA.
C3 Auburn University System; Auburn University
RP Pan, SF (corresponding author), Auburn Univ, Sch Forestry & Wildlife Sci, Int Ctr Climate & Global Change Res, Auburn, AL 36849 USA.
EM panshuf@auburn.edu
RI You, Yongfa/LCE-0542-2024; Pan, Shufen/JJC-1864-2023
OI You, Yongfa/0000-0002-8916-2940; Pan, Shufen/0000-0001-7920-1427
FU National Science Foundation [1903722, 1922687]; Division Of Graduate
   Education; Direct For Education and Human Resources [1922687] Funding
   Source: National Science Foundation
FX The authors are extremely grateful to Professor Hanqin Tian for
   providing insightful comments and suggestions, Kelly Pippin and Naiqing
   Pan for helpful discussion and review on this manuscript. This study is
   partially supported by the National Science Foundation grants (1903722
   and 1922687).
CR ALWIN DF, 1975, AM SOCIOL REV, V40, P37, DOI 10.2307/2094445
   [Anonymous], 2020, NEW ENGLAND J MED
   Bashir MF, 2020, ENVIRON RES, V187, DOI 10.1016/j.envres.2020.109652
   Bashir MF, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138835
   Becker DA, 2019, URBAN FOR URBAN GREE, V41, P39, DOI 10.1016/j.ufug.2019.02.012
   BENTLER PM, 1990, PSYCHOL BULL, V107, P238, DOI 10.1037/0033-2909.107.2.238
   Boulos MKN, 2020, INT J HEALTH GEOGR, V19, DOI 10.1186/s12942-020-00202-8
   Brooks S. K., 2020, LANCET
   Casanova LM, 2010, APPL ENVIRON MICROB, V76, P2712, DOI 10.1128/AEM.02291-09
   Cauchemez S, 2011, P NATL ACAD SCI USA, V108, P2825, DOI 10.1073/pnas.1008895108
   Chalmers RP, 2012, J STAT SOFTW, V48, P1
   Chan KH, 2011, ADV VIROL, V2011, DOI 10.1155/2011/734690
   Chen HJ, 2020, LANCET, V395, P809, DOI 10.1016/S0140-6736(20)30360-3
   Coccia M., 2020, ARXIV200508293
   Dalton C., 2020, MED J AUSTRALIA, V212, P1
   Dalziel BD, 2018, SCIENCE, V362, P75, DOI 10.1126/science.aat6030
   Dong E, 2020, CORONAVIRUS COVID 19
   Dudas G, 2017, NATURE, V544, P309, DOI 10.1038/nature22040
   Fattorini D, 2020, ENVIRON POLLUT, V264, DOI 10.1016/j.envpol.2020.114732
   Hartig T, 2016, SCIENCE, V352, P938, DOI 10.1126/science.aaf3759
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Homer C, 2004, PHOTOGRAMM ENG REM S, V70, P829, DOI 10.14358/PERS.70.7.829
   Homer C, 2015, PHOTOGRAMM ENG REM S, V81, P345, DOI 10.14358/PERS.81.5.345
   Hoyle R.H., Structural Equation Modeling, Concepts, Issues, and Applications, P1
   James Peter, 2015, Curr Epidemiol Rep, V2, P131
   Janhäll S, 2015, ATMOS ENVIRON, V105, P130, DOI 10.1016/j.atmosenv.2015.01.052
   Lee ACK, 2011, J PUBLIC HEALTH-UK, V33, P212, DOI 10.1093/pubmed/fdq068
   Liu LB, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16142551
   Lu HZ, 2020, J MED VIROL, V92, P401, DOI [10.1002/jmv.25678, 10.1002/jmv.2567]
   Ma Y., 2020, SCI TOTAL ENV
   Maas J, 2006, J EPIDEMIOL COMMUN H, V60, P587, DOI 10.1136/jech.2005.043125
   Nowak David J., 2006, Urban Forestry & Urban Greening, V5, P93, DOI [10.1016/j.ufug.2006.04.002, 10.1016/j.ufug.2006.01.007]
   Nutsford D, 2013, PUBLIC HEALTH, V127, P1005, DOI 10.1016/j.puhe.2013.08.016
   Pan A, 2020, JAMA-J AM MED ASSOC, V323, P1915, DOI 10.1001/jama.2020.6130
   Pei Sen, 2020, medRxiv, DOI 10.1101/2020.05.15.20103655
   Pybus OG, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.2878
   Roser M., 2020, CORONAVIRUS DIS COVI
   Samuelsson K., 2020, Urban nature as a source of resilience during social distancing amidst the coronavirus pandemic, DOI [10.31219/osf.io/3wx5a, DOI 10.31219/OSF.IO/3WX5A]
   STEIGER JH, 1990, MULTIVAR BEHAV RES, V25, P173, DOI 10.1207/s15327906mbr2502_4
   Tan JG, 2005, J EPIDEMIOL COMMUN H, V59, P186, DOI 10.1136/jech.2004.020180
   Tian HY, 2020, SCIENCE, V368, P638, DOI 10.1126/science.abb6105
   Tsai WL, 2019, URBAN ECOSYST, V22, P315, DOI 10.1007/s11252-018-0813-3
   USAFacts, 2020, COR LOC COVID 19 MAP
   Usher K, 2020, J CLIN NURS, V29, P2756, DOI 10.1111/jocn.15290
   White House, 2020, PROCL DECL NAT EM CO
   Wickham JD, 2013, REMOTE SENS ENVIRON, V130, P294, DOI 10.1016/j.rse.2012.12.001
   Wilder-Smith A, 2020, J TRAVEL MED, V27, DOI [10.1093/jtm/taaa020, 10.1093/jtm/taaa227]
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wu X, 2020, MANAGEMENT TRANSFORMATION OF HUAWEI, P1, DOI 10.1017/9781108550987
   Xie J., 2020, SCI TOTAL ENV
   You YF, 2020, AGR FOREST METEOROL, V291, DOI 10.1016/j.agrformet.2020.108085
   Yu P, 2019, INFECT GENET EVOL, V69, P224, DOI 10.1016/j.meegid.2019.02.001
NR 52
TC 44
Z9 49
U1 1
U2 52
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
J9 GEOPHYS RES LETT
JI Geophys. Res. Lett.
PD SEP 28
PY 2020
VL 47
IS 18
AR e2020GL089286
DI 10.1029/2020GL089286
PG 9
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology
GA NY8LL
UT WOS:000576634400033
OA hybrid
DA 2025-04-22
ER

PT J
AU Tuitjer, L
AF Tuitjer, Leonie
TI Exploring urban verticality during the 2011 flood in Bangkok, Thailand
SO AREA
LA English
DT Article
DE Bangkok; coping strategies; floods; vertical urbanism; vulnerability
ID POLITICAL ECOLOGY; ADAPTATION; RESILIENCE; MANAGEMENT; WATER; RISK;
   VULNERABILITY; ARCHITECTURE; GEOPOLITICS; SECURITY
AB Geographers have a long-established research interest in the ways infrastructures shape urban flood vulnerability and how urbanites cope with urban flooding. In this paper, I contribute to this literature by exploring the three-dimensional city during an urban flooding situation. Within a case study (based on interviews and ethnographic observations), I attend to ad hoc coping practices of a diverse city population during the 2011 flood in Bangkok. I foreground the vertical direction of these strategies and the affordances of the urban built environment and urban infrastructures that enabled such coping. The paper thus stages a conversation between established literature on urban flood vulnerability and coping with an emerging interest in vertical urbanism literature. Through this conversation between the two literatures, research on urban verticality is probed to consider verticality as a crucial dimension of urbanism during times of flood disasters.
C1 [Tuitjer, Leonie] Leibniz Univ Hannover, Inst Econ & Cultural Geog, Hannover, Germany.
C3 Leibniz University Hannover
RP Tuitjer, L (corresponding author), Leibniz Univ Hannover, Inst Econ & Cultural Geog, Hannover, Germany.
EM Tuitjer@kusogeo.uni-hannover.de
OI Tuitjer, Leonie/0000-0001-6178-7757
FU Research Councils UK > Economic and Social Research Council [1333726]
FX Research Councils UK > Economic and Social Research Council 1333726.
CR Adey P, 2010, THEOR CULT SOC, V27, P51, DOI 10.1177/0263276410380943
   Ajibade I, 2014, GEOFORUM, V55, P76, DOI 10.1016/j.geoforum.2014.05.005
   Ajibade I, 2013, GLOBAL ENVIRON CHANG, V23, P1714, DOI 10.1016/j.gloenvcha.2013.08.009
   Akmalah E, 2011, WATER INT, V36, P733, DOI 10.1080/02508060.2011.610729
   [Anonymous], 2012, Thai flood 2011: Rapid assessment for resilient recovery and reconstruction planning: Overview
   [Anonymous], 2008, WHAT IS CITY RETHINK
   Askew Marc., 2002, Bangkok: Place, practice and representation
   Baxter R, 2017, INT J URBAN REGIONAL, V41, P334, DOI 10.1111/1468-2427.12451
   Blake DJH, 2015, ASIAN STUD REV, V39, P649, DOI 10.1080/10357823.2015.1086972
   Bose PS, 2016, AREA, V48, P168, DOI 10.1111/area.12178
   Braun B, 2011, NAT HAZARDS, V58, P771, DOI 10.1007/s11069-011-9752-5
   Brown JD, 2002, T I BRIT GEOGR, V27, P412, DOI 10.1111/1475-5661.00063
   Cardosi G, 2019, SUSTAIN DEV GOAL SER, P105, DOI 10.1007/978-3-319-92498-4_8
   Cohen Erik., 2012, ASEAS - Australian Journal of South-East Asian Studies, V5, P316
   Elden S, 2013, POLIT GEOGR, V34, P35, DOI 10.1016/j.polgeo.2012.12.009
   Few R., 2003, PROG DEV STUD, V3, P43, DOI DOI 10.1191/1464993403PS049RA
   Gale EL, 2013, WEATHER, V68, P233, DOI 10.1002/wea.2133
   Gandy M, 2014, FABRIC OF SPACE: WATER, MODERNITY, AND THE URBAN IMAGINATION, P1
   Graham S, 2004, ANTIPODE, V36, P12, DOI 10.1111/j.1467-8330.2004.00379.x
   Graham S, 2013, PROG HUM GEOG, V37, P72, DOI 10.1177/0309132512443147
   Graham S, 2014, THEOR CULT SOC, V31, P239, DOI 10.1177/0263276414554044
   Graham Stephen., 2016, Vertical: The City from Satellites to Bunkers
   Graham Stephen., 2010, DISRUPTED CITIES INF, P1
   Harker C, 2014, INT J URBAN REGIONAL, V38, P318, DOI 10.1111/1468-2427.12094
   Harris A, 2018, INT J URBAN REGIONAL, V42, P295, DOI 10.1111/1468-2427.12525
   Harris A, 2015, PROG HUM GEOG, V39, P601, DOI 10.1177/0309132514554323
   Howgate OR, 2009, AREA, V41, P329, DOI 10.1111/j.1475-4762.2008.00869.x
   Hwang Nanhee, 2018, [Journal of The Korean Society of Hazard Mitigation, 한국방재학회논문집], V18, P301, DOI 10.9798/KOSHAM.2018.18.6.301
   Jabeen H, 2010, ENVIRON URBAN, V22, P415, DOI 10.1177/0956247810379937
   Jones P, 2017, J REG CITY PLAN, V28, P129, DOI 10.5614/jrcp.2017.28.2.4
   Kaika M, 2000, INT J URBAN REGIONAL, V24, P120, DOI 10.1111/1468-2427.00239
   Kelman I, 2012, AREA, V44, P144, DOI 10.1111/j.1475-4762.2011.01074.x
   Kooy M, 2008, GEOFORUM, V39, P1843, DOI 10.1016/j.geoforum.2008.07.012
   Lawton P, 2020, REG STUD, V54, P268, DOI 10.1080/00343404.2019.1646902
   Leeruttanawisut, 2013, P E AS SOC TRANSP ST, V9
   Marks D., 2011, Contemporary Southeast Asia, V33, P229, DOI DOI 10.1355/CS33-2D
   Marks D, 2020, INT DEV PLANN REV, V42, P273, DOI 10.3828/idpr.2019.7
   Marks D, 2019, POLIT GEOGR, V68, P66, DOI 10.1016/j.polgeo.2018.10.002
   Marks D, 2015, PAC AFF, V88, P623, DOI 10.5509/2015883623
   Marks D, 2016, HABITAT INT, V52, P57, DOI 10.1016/j.habitatint.2015.08.024
   McGrath, 2007, PERSPECTA, V39, P12, DOI [10.2307/40482258, DOI 10.2307/40482258]
   Mongkonkerd S, 2013, PROCEDIA ENVIRON SCI, V17, P327, DOI 10.1016/j.proenv.2013.02.045
   Nilubon P, 2016, PROCD SOC BEHV, V216, P470, DOI 10.1016/j.sbspro.2015.12.063
   O'Neil M.S., 2008, Bangkok: A Cultural History
   Padawangi R, 2015, PAC AFF, V88, P517, DOI 10.5509/2015883517
   Padawangi R, 2016, SUSTAIN CITIES SOC, V20, P147, DOI 10.1016/j.scs.2015.09.001
   Padgham L, 2014, AUST J EMERG MANAG, V29, P26
   Pelling M, 1999, GEOFORUM, V30, P249, DOI 10.1016/S0016-7185(99)00015-9
   Ranganathan M, 2015, ANTIPODE, V47, P1300, DOI 10.1111/anti.12149
   Robinson J, 2002, INT J URBAN REGIONAL, V26, P531, DOI 10.1111/1468-2427.00397
   Rosen G, 2016, T I BRIT GEOGR, V41, P163, DOI 10.1111/tran.12112
   Santha SD, 2016, INT AREA STUD REV, V19, P76, DOI 10.1177/2233865915626832
   Sheng YK, 2000, HOUSING STUD, V15, P11, DOI 10.1080/02673030082441
   Tuitjer L, 2019, MOBILITIES-UK, V14, P648, DOI 10.1080/17450101.2019.1586097
   Werritty A, 2006, AREA, V38, P16, DOI 10.1111/j.1475-4762.2006.00658.x
   Whitington J, 2016, PUBLIC CULTURE, V28, P415, DOI 10.1215/08992363-3427511
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
NR 57
TC 1
Z9 1
U1 0
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0004-0894
EI 1475-4762
J9 AREA
JI Area
PD JUN
PY 2021
VL 53
IS 2
BP 336
EP 344
DI 10.1111/area.12699
EA FEB 2021
PG 9
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA SO0GS
UT WOS:000616115600001
OA Green Published
DA 2025-04-22
ER

PT J
AU Mazur, C
   Hoegerle, Y
   Brucoli, M
   van Dam, K
   Guo, M
   Markides, CN
   Shah, N
AF Mazur, Christoph
   Hoegerle, Yannick
   Brucoli, Maria
   van Dam, Koen
   Guo, Miao
   Markides, Christos N.
   Shah, Nilay
TI A holistic resilience framework development for rural power systems in
   emerging economies
SO APPLIED ENERGY
LA English
DT Review
DE Resilience; Decentralized; Power system; Rural energy; Assessment
   framework
ID DEMAND-SIDE MANAGEMENT; RENEWABLE ENERGY; ADAPTIVE CAPACITY; SUSTAINABLE
   DEVELOPMENT; DEVELOPING-COUNTRIES; HUMAN DIMENSIONS; ELECTRIFICATION;
   ADAPTATION; ELECTRICITY; VULNERABILITY
AB Infrastructure and services within urban areas of developed countries have established reliable definitions of resilience and its dependence on various factors as an important pathway for achieving sustainability in these energy systems. However, the assessment, design, building and maintenance of power systems situated in rural areas in emerging economies present further difficulties because there is no a clear framework for such circumstances. Aiming to address this issue, this paper combines different visions of energy-related resilience both in general and under rural conditions in order to provide a robust practical framework for local and international stakeholders to derive the right actions in the rural context of emerging economies. An in-depth review is implemented to recompile information of resilience in general, in energy systems and in rural areas in particular, and a number of existing frameworks is also consulted. In order to acknowledge the particular circumstances and identify the important factors influencing the resilience of rural electrification in emerging economies, a holistic rural power system resilience framework is developed and presented. This consists of twenty-one indicators for technical resilience, eight indicators for social resilience, and thirteen indicators for economic resilience. This framework can be used by system owners and operators, policy makers, NGOs and communities to ensure the longevity of power systems. This work also paves the way for the creation of appropriate and effective resilience standards specifically targeted for application in these regions-aiming to achieve the delivery of global and local sustainability goals.
C1 [Mazur, Christoph; Markides, Christos N.] Imperial Coll London, CPSE, Dept Chem Engn, London, England.
   [Mazur, Christoph; van Dam, Koen; Guo, Miao; Markides, Christos N.; Shah, Nilay] Imperial Coll London, Clean Energy Proc CEP Lab, Dept Chem Engn, London, England.
   [Hoegerle, Yannick] Imperial Coll London, Ctr Energy Policy, London, England.
   [Brucoli, Maria] ARUP, London, England.
C3 Imperial College London; Imperial College London; Imperial College
   London
RP Mazur, C (corresponding author), Imperial Coll London, CPSE, Dept Chem Engn, London, England.; Mazur, C (corresponding author), Imperial Coll London, Clean Energy Proc CEP Lab, Dept Chem Engn, London, England.
EM christoph.mazur@imperial.ac.uk
RI Shah, Nilay/E-4925-2015; Guo, Miao/AAM-6196-2020; Markides,
   Christos/D-3162-2015; Guo, Miao/R-2775-2017
OI Markides, Christos/0000-0002-4219-1867; Guo, Miao/0000-0001-7733-5077;
   van Dam, Koen/0000-0002-4879-9259
FU UK Engineering and Physical Sciences Research Council (EPSRC)
   [EP/P004709/1]; Department for International Development (DFID) through
   the Royal Society-DFID Africa Capacity Building Initiative; EPSRC
   [EP/K039326/1, EP/P004709/1] Funding Source: UKRI
FX We are grateful to the anonymous reviewers for their useful comments and
   suggestions, which have greatly improved the manuscript. This work was
   supported by the UK Engineering and Physical Sciences Research Council
   (EPSRC) [grant number EP/P004709/1. The work was also supported by the
   Department for International Development (DFID) through the Royal
   Society-DFID Africa Capacity Building Initiative. Data supporting this
   publication can be obtained on request from cep-lab@imperial.ac.uk.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   AFDB, 2016, AFR DEV REP 2015 GRO
   Amirioun MH, 2019, INT J ELEC POWER, V104, P716, DOI 10.1016/j.ijepes.2018.07.025
   [Anonymous], 2003, Energy for Sustainable Development, DOI DOI 10.1016/S0973-0826(08)60357-9
   [Anonymous], 2006, Resilience engineering: concepts and precepts.
   [Anonymous], 2007, Terminology
   [Anonymous], 2013, GREEN ENERGY TECHNOL, DOI DOI 10.1007/978-1-4471-4673-5_4
   Arghandeh R, 2016, RENEW SUST ENERG REV, V58, P1060, DOI 10.1016/j.rser.2015.12.193
   ARUP, 2014, RES REPORT, V2
   ARUP, 2014, CIT RES IND UND MEAS
   Axelsson L, 2006, RESIL ENG CONCEPTS P, P139
   Bahadur A., 2015, Resilience in the SDGs: developing an indicator for Target 1.5 that is fit for purpose
   Barnes D, 2004, ELECT HUM PROSPECT
   Barnes DF, 1996, ANNU REV ENERG ENV, V21, P497, DOI 10.1146/annurev.energy.21.1.497
   Barsky RB, 2004, J ECON PERSPECT, V18, P115, DOI 10.1257/0895330042632708
   Berkes F, 2003, BUILDING, P393, DOI [10.1016/j.biocon.2004.01.010, DOI 10.1016/J.BIOCON.2004.01.010]
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   BILLINTON R, 1984, ELECTRON POWER, V30, P231, DOI 10.1049/ep.1984.0118
   Blyden BK, 2006, 2006 IEEE POW ENG SO, DOI [10.1109/PES.2006, DOI 10.1109/PES.2006]
   Brent AC, 2010, RENEW ENERG, V35, P257, DOI 10.1016/j.renene.2009.03.028
   Bruce N, 2015, ATMOS ENVIRON, V106, P451, DOI 10.1016/j.atmosenv.2014.08.064
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bull SR, 2001, P IEEE, V89, P1216, DOI 10.1109/5.940290
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chaudhary A, 2016, INDIA IS SUFFERING O
   Chaurey A, 2004, ENERG POLICY, V32, P1693, DOI 10.1016/S0301-4215(03)00160-5
   Cook R.I., 2006, Resilience engineering: Concepts and precepts, P205
   Cox RS, 2015, AM BEHAV SCI, V59, P220, DOI 10.1177/0002764214550297
   Cumming GS, 2011, SPATIAL RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS, P1, DOI 10.1007/978-94-007-0307-0
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Da Silva J., 2014, CITY RESILIENCE FRAM
   Davis M, 1998, ENERG POLICY, V26, P207, DOI 10.1016/S0301-4215(97)00100-6
   Drinkwaard W, 2010, ENERGY SUSTAIN DEV, V14, P232, DOI 10.1016/j.esd.2010.07.006
   Egli D.S., 2013, Journal of strategic security, V6, P3
   Ellabban O, 2014, RENEW SUST ENERG REV, V39, P748, DOI 10.1016/j.rser.2014.07.113
   Francés GE, 2013, RENEW SUST ENERG REV, V26, P549, DOI 10.1016/j.rser.2013.06.015
   ESMAP, 2015, tech. rep.
   EU Energy Initiative Partnership Dialogue Facility, 2015, LOW COST GRID EL TEC
   Fankhauser S, 2007, ENERG POLICY, V35, P1038, DOI 10.1016/j.enpol.2006.02.003
   Farhangi H, 2010, IEEE POWER ENERGY M, V8, P18, DOI 10.1109/MPE.2009.934876
   Fazey I, 2007, FRONT ECOL ENVIRON, V5, P375, DOI 10.1890/1540-9295(2007)5[375:ACALTL]2.0.CO;2
   Fisher, 2013, CONSTRUCTING RESILIE, V53, DOI [10.2172/991101, DOI 10.2172/991101]
   Flin R, 2006, 8 SPE INT C HEAL SAF, V1, P483
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Foster V, 2015, ENERGY, DOI [10.1596/978-1-4648-0690-2, DOI 10.1596/978-1-4648-0690-2]
   Fujita Y., 2006, RESILIENCE ENG CONCE, P19
   Fullerton DG, 2008, T ROY SOC TROP MED H, V102, P843, DOI 10.1016/j.trstmh.2008.05.028
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   GELLINGS CW, 1985, P IEEE, V73, P1468, DOI 10.1109/PROC.1985.13318
   Gifford Robert, 2015, NEW SCI
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gunderson L., 2002, VOLUME 2 EARTH SYSTE, V2, P530
   Gungor VC, 2013, IEEE T IND INFORM, V9, P28, DOI 10.1109/TII.2012.2218253
   Haanyika CM, 2006, ENERG POLICY, V34, P2977, DOI 10.1016/j.enpol.2005.05.008
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Hatziargyriou N, 2007, IEEE POWER ENERGY M, V5, P78, DOI 10.1109/MPAE.2007.376583
   HOLLAND JH, 1992, DAEDALUS, V121, P17
   Holland JH, 1995, HIDDEN ORDER ADAPTAT, V75
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Howells MI, 2005, ENERG POLICY, V33, P1833, DOI 10.1016/j.enpol.2004.02.019
   Hughes L, 2015, ENERGY, V84, P443, DOI 10.1016/j.energy.2015.03.010
   Janssen MA, 2006, ECOL SOC, V11
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Kanagawa M, 2008, ENERG POLICY, V36, P2016, DOI 10.1016/j.enpol.2008.01.041
   Kaufmann M, 2013, RESILIENCE, V1, P53, DOI 10.1080/21693293.2013.765742
   Kaygusuz K, 2012, RENEW SUST ENERG REV, V16, P1116, DOI 10.1016/j.rser.2011.11.013
   Kinney R, 2005, EUR PHYS J B, V46, P101, DOI 10.1140/epjb/e2005-00237-9
   Klibi W, 2010, EUR J OPER RES, V203, P283, DOI 10.1016/j.ejor.2009.06.011
   Kruyt B, 2009, ENERG POLICY, V37, P2166, DOI 10.1016/j.enpol.2009.02.006
   Kwasinski A, 2014, IEEE GLOB HUMANIT C, P78, DOI 10.1109/GHTC.2014.6970264
   Lebel L, 2006, ECOL SOC, V11
   Li X, 2014, INT J REMOTE SENS, V35, P6648, DOI 10.1080/01431161.2014.971469
   Liu CC, 2015, IEEE POWER ENERGY M, V13, P96, DOI 10.1109/MPE.2015.2397332
   Madni AM, 2009, IEEE SYST J, V3, P181, DOI 10.1109/JSYST.2009.2017397
   Madubansi M, 2006, ENERG POLICY, V34, P4081, DOI 10.1016/j.enpol.2005.10.011
   Mahapatra S, 2012, ENERGY SUSTAIN DEV, V16, P146, DOI 10.1016/j.esd.2012.01.006
   Mainali B, 2012, ENERGY SUSTAIN DEV, V16, P168, DOI 10.1016/j.esd.2012.03.001
   Mainali B, 2011, ENERGY, V36, P2194, DOI 10.1016/j.energy.2010.07.004
   Markard J, 2012, RES POLICY, V41, P955, DOI 10.1016/j.respol.2012.02.013
   Miles M. B., 2014, QUALITATIVE DATA ANA, DOI [10.1016/0149-7189(96)88232-2, DOI 10.1016/0149-7189(96)88232-2]
   Minnaar UJ, 2012, ELECTR POW SYST RES, V88, P25, DOI 10.1016/j.epsr.2012.01.015
   Molyneaux L, 2012, ENERG POLICY, V47, P188, DOI 10.1016/j.enpol.2012.04.057
   Moslehi S, 2018, APPL ENERG, V228, P487, DOI 10.1016/j.apenergy.2018.06.075
   National Research Council, 2015, DEV FRAM MEAS COMM R
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nguyen KQ, 2007, ENERG POLICY, V35, P2579, DOI 10.1016/j.enpol.2006.10.004
   NRECA International Ltd, 2009, GUID EL COOP DEV RUR, V1, P284
   O'Brien G, 2009, ENERG ENVIRON-UK, V20, P399, DOI 10.1260/095830509788066457
   O'Brien G, 2010, ENERG POLICY, V38, P7550, DOI 10.1016/j.enpol.2010.03.033
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Ong AD, 2010, PSYCHOL AGING, V25, P516, DOI 10.1037/a0019384
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Palensky P, 2011, IEEE T IND INFORM, V7, P381, DOI 10.1109/TII.2011.2158841
   Pallavi Chavan Pallavi Chavan, 2002, Economic and Political Weekly, V37, P955
   Panteli M, 2017, IEEE SYST J, V11, P1733, DOI 10.1109/JSYST.2015.2389272
   Perrings C, 1998, ENVIRON RESOUR ECON, V11, P503, DOI 10.1023/A:1008255614276
   Peters J, 2009, ENERGY SUSTAIN DEV, V13, P38, DOI 10.1016/j.esd.2009.01.004
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Ritchie J., 2014, Qualitative Research, V356, DOI [10.4135/9781452230108, DOI 10.4135/9781452230108]
   Röllin HB, 2004, INDOOR AIR, V14, P208, DOI 10.1111/j.1600-0668.2004.00238.x
   Rossetto T, 2007, NAT HAZARDS, V42, P105, DOI 10.1007/s11069-006-9064-3
   Saint B, 2009, RUR ELEC P
   Simon H.A., 1996, SCI ARTIFICIAL, DOI [10.1016/S0898-1221(97)82941-0, DOI 10.1016/S0898-1221(97)82941-0]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith TB, 2004, ENERG POLICY, V32, P2067, DOI 10.1016/S0301-4215(03)00182-4
   Strbac G, 2008, ENERG POLICY, V36, P4419, DOI 10.1016/j.enpol.2008.09.030
   Szabó S, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034002
   Tang CS, 2006, INT J PROD ECON, V103, P451, DOI 10.1016/j.ijpe.2005.12.006
   Ton DT, 2015, IEEE POWER ENERGY M, V13, P26, DOI 10.1109/MPE.2015.2397337
   Tschakert P, 2010, ECOL SOC, V15
   UK Government, 2013, EM RESP REC
   United Nations Department of Economics and Social Affairs Population Division, 2015, WORLD POP PROSP 2015, DOI [10.1007/s13398-014-0173-7.2, DOI 10.1007/S13398-014-0173-7.2]
   Urmee T, 2009, RENEW ENERG, V34, P354, DOI 10.1016/j.renene.2008.05.004
   Valentine SV, 2011, RENEW SUST ENERG REV, V15, P4572, DOI 10.1016/j.rser.2011.07.095
   van der Leeuw S. E., 2000, WORLD SCIE, P1, DOI [10.1142/9789812701404_0013, DOI 10.1142/9789812701404_0013]
   Venkata SS, 2015, IEEE POWER ENERGY M, V13, P16, DOI 10.1109/MPE.2015.2401492
   Vugrin ED, 2011, PROCESS SAF PROG, V30, P280, DOI 10.1002/prs.10437
   Walker B, 2002, CONSERV ECOL, V6
   Walker B., 2004, Ecology and Society, V9, P5
   Watson J.-P., 2014, tech.rep
   Whitehouse. gov, 2013, PRES POL DIR CRIT IN
   Winkler H, 2011, WORLD DEV, V39, P1037, DOI 10.1016/j.worlddev.2010.02.021
   Winther T, 2012, ENERGY SUSTAIN DEV, V16, P111, DOI 10.1016/j.esd.2011.11.002
   Winzer C, 2012, ENERG POLICY, V46, P36, DOI 10.1016/j.enpol.2012.02.067
   Woods D.D., 2006, Resilience engineering: Concepts and precepts, P69
   Yadoo A, 2010, ENERG POLICY, V38, P2941, DOI 10.1016/j.enpol.2010.01.031
   Zhang T, 2008, 2008 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, P1, DOI 10.1109/ISEE.2008.4562845
   Zhou YT, 2018, APPL ENERG, V230, P374, DOI 10.1016/j.apenergy.2018.08.054
NR 131
TC 36
Z9 40
U1 7
U2 89
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0306-2619
EI 1872-9118
J9 APPL ENERG
JI Appl. Energy
PD FEB 1
PY 2019
VL 235
BP 219
EP 232
DI 10.1016/j.apenergy.2018.10.129
PG 14
WC Energy & Fuels; Engineering, Chemical
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Energy & Fuels; Engineering
GA HL7TB
UT WOS:000458942800019
DA 2025-04-22
ER

PT J
AU Junghans, L
   Kreft, S
   Welp, M
AF Junghans, Lisa
   Kreft, Soenke
   Welp, Martin
TI Inclusive Visions for Urban Transitions: Lessons from stakeholder
   dialogues in Asian medium sized cities
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Review
DE Climate change; Resilience; Cities; Stakeholder dialogues; India;
   Indonesia; Philippines
ID CLIMATE-CHANGE; DECISION-MAKING; ENERGY USE; SCIENCE
AB Climate change and other sustainability challenges represent a foundational contest to traditional urban development concepts and practices. Reducing greenhouse gas emissions from urban infrastructure and leading cities towards climate resilience requires a transformation of city structures, its organisation and its resident's lifestyles. To anchor such a transformative course of action, a wider societal consensus building with an active and earnest engagement with all relevant actors and interest groups in the city is required. With stakeholder dialogues being a suitable and proven instrument for stimulating engagement, this paper explores dynamics of stakeholder dialogues and how they can advance a city's work on climate change.
   For this purpose, a number of stakeholder dialogues with key actors in the field of climate change were organised in four cities across India, Indonesia and the Philippines. Studying them, the authors identified four dimensions that seem to shape the effectiveness and success of such dialogues: the level of interaction between the participants during the events, the diversity of perspectives represented by the stakeholders, their level of capacities in dealing with urban climate issues and, ultimately their political competence that allows them to take decisions based on workshop outcomes.
C1 [Junghans, Lisa; Kreft, Soenke] Germanwatch, Kaiserstr 201, D-53113 Bonn, Germany.
   [Welp, Martin] Eberswalde Univ Sustainable Dev, Univ Appl Sci, Fac Forest & Environm, Alfred Moeller Str 1, D-16225 Eberswalde, Germany.
   [Junghans, Lisa] Deutsch Gesell Int Zusammenarbeit GIZ GmbH, Potsdamer Pl 10, D-10785 Berlin, Germany.
   [Kreft, Soenke] United Nations Univ, Inst Environm & Human Secur UNU EHS, Munich Climate Insurance Initiat, UN Campus,Pl Vereinten Nationen 1, D-53113 Bonn, Germany.
C3 Eberswalde University for Sustainable Development
RP Junghans, L (corresponding author), Germanwatch, Kaiserstr 201, D-53113 Bonn, Germany.
EM lisa.junghans@giz.de; kreft@ehs.unu.edu; Martin.Welp@hnee.de
FU CDKN
FX The authors thank Isabel Roder for her contributions and our colleagues
   at the Institute of Climate and Sustainable Cities and Xavier University
   in Cagayan de Oro in the Philippine, the Institute for Essential Service
   Reform and Pikul Foundation in Indonesia as well as Vasudha Foundation
   and the Water Energy Food Transitions Research Centre in India for the
   fruitful cooperation in the CDKN funded project.
CR Ahmad S, 2015, ENVIRON SCI TECHNOL, V49, P11312, DOI 10.1021/es505814g
   [Anonymous], WHAT IS DURB METR OP
   [Anonymous], COP CARB NEUTR 2015
   [Anonymous], FLAGSH REP HUM MOV T
   [Anonymous], STAKEHOLDER DIALOGUE
   [Anonymous], CIUD MEX MEX CIT COM
   [Anonymous], JOH GREEN BOND
   [Anonymous], 2017, SOCIOLOGICAL METHODS
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Bohm D., 2013, On dialogue
   Brodbeck FC, 2002, EUR J SOC PSYCHOL, V32, P35, DOI 10.1002/ejsp.74
   Brown J., 2005, The world cafe: Shaping our futures through conversations that matter
   Creutzig F, 2015, P NATL ACAD SCI USA, V112, P6283, DOI 10.1073/pnas.1315545112
   Cuppen E, 2012, POLICY SCI, V45, P23, DOI 10.1007/s11077-011-9141-7
   Innes J.E., 1999, The Consensus Building Handbook: A Comprehensive Guide to Reaching Agreement, P631, DOI DOI 10.4135/9781452231389.N18
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Lassa JA, 2015, ENVIRON URBAN, V27, P161, DOI 10.1177/0956247814552233
   Lynam T, 2007, ECOL SOC, V12
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   Overseas Development Administration, 1995, Guidance note on how to do stakeholder analysis of aid projects and programmers
   Owen Harrison., 2008, OPEN SPACE TECHNOLOG
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Scherhaufer P, 2014, SYST PRACT ACT RES, V27, P449, DOI 10.1007/s11213-013-9294-8
   UNFCCC, 2015, UN FRAM CONV CLIM CH
   van de Kerkhof M, 2006, POLICY SCI, V39, P279, DOI 10.1007/s11077-006-9024-5
   Weisbord M., 2000, Future Search: An Action Guide tofinding Common Ground in Organizations and Communities, V2nd
   Welp M., 2009, PUBLIC PARTICIPATION, P21
   Welp M, 2006, GLOBAL ENVIRON CHANG, V16, P170, DOI 10.1016/j.gloenvcha.2005.12.002
   [No title captured]
NR 31
TC 13
Z9 15
U1 1
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD OCT
PY 2018
VL 42
BP 512
EP 520
DI 10.1016/j.scs.2018.08.003
PG 9
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA GS5VY
UT WOS:000443741600043
DA 2025-04-22
ER

PT J
AU Tariverdi, M
   Fotouhi, H
   Moryadee, S
   Miller-Hooks, E
AF Tariverdi, Mersedeh
   Fotouhi, Hossein
   Moryadee, Seksun
   Miller-Hooks, Elise
TI Health Care System Disaster-Resilience Optimization Given Its Reliance
   on Interdependent Critical Lifelines
SO JOURNAL OF INFRASTRUCTURE SYSTEMS
LA English
DT Article
DE Hospital resilience; Built infrastructure; Interdependent lifelines;
   Critical lifelines; Mass casualty incidents; Health care resilience;
   Disaster preparedness
AB Natural or human-made incidents in urban areas cause surges in demand for hospitals while often simultaneously limiting their capacity to serve patients due to direct physical damage or service interruptions in supporting lifelines. A hierarchical modeling concept is proposed to quantify the resilience of regional hospital response under disaster. To facilitate the optimization of pre- and postevent resilience-enhancing actions for a range of potential hazard-demand-damage scenarios, a multistage stochastic, mixed-integer decision problem (SMIP) is proposed. Dependencies on interdependent, potentially damaged critical lifelines are explicitly modeled. Resilience is estimated in terms of total patient waiting time and unserved patients. These quantities are captured in the objective of the SMIP through the adoption of a simulation-based metamodel of a detailed hospital model. The SMIP is demonstrated in a numerical example developed to represent the main hospitals of the Johns Hopkins Health System Corporation. The proposed structure is broadly applicable to other societal functions that take place in interrelated buildings connected by transportation and communications links and are dependent on interdependent lifeline networks.
C1 [Tariverdi, Mersedeh; Fotouhi, Hossein; Miller-Hooks, Elise] George Mason Univ, Sid & Reva Dewberry Dept Civil Environm & Infrast, Fairfax, VA 22030 USA.
   [Moryadee, Seksun] Chulachomklao Royal Mil Acad, Nakhon Nayok 26001, Thailand.
C3 George Mason University
RP Miller-Hooks, E (corresponding author), George Mason Univ, Sid & Reva Dewberry Dept Civil Environm & Infrast, Fairfax, VA 22030 USA.
EM mercedeh.t@gmail.com; hfotouhi@gmu.edu; seksun.mor@gmail.com;
   miller@gmu.edu
RI Moryadee, Seksun/B-6742-2018; Fotouhi, Hossein/AAK-6454-2020; tariverdi,
   mersedeh/ITT-2267-2023
FU National Science Foundation
FX This work was funded by the National Science Foundation as part of a
   larger team effort. This support is gratefully acknowledged, but implies
   no endorsement of the findings.
CR [Anonymous], IIE T HEALTHCARE SYS
   Barbisch DF, 2006, ACAD EMERG MED, V13, P1098, DOI 10.1197/j.aem.2006.06.041
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chen LC, 2012, TRANSPORT SCI, V46, P109, DOI 10.1287/trsc.1110.0376
   Cimellaro GP, 2011, EARTHQ ENG STRUCT D, V40, P1197, DOI 10.1002/eqe.1084
   Davis DP, 2007, PREHOSP EMERG CARE, V11, P369, DOI 10.1080/10903120701537147
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Fotouhi H, 2017, RELIAB ENG SYST SAFE, V163, P79, DOI 10.1016/j.ress.2017.01.026
   GEOFFRION AM, 1970, MANAGE SCI, V16, P676, DOI 10.1287/mnsc.16.11.676
   Haimes YY, 2018, RISK ANAL, V38, P84, DOI 10.1111/risa.12804
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jacques CC, 2014, EARTHQ SPECTRA, V30, P533, DOI 10.1193/032013EQS074M
   Kirchheimer B, 2001, Mod Healthc, V31, P28
   Lee EE, 2007, IEEE T SYST MAN CY C, V37, P1303, DOI 10.1109/TSMCC.2007.905859
   Milsten A., 2000, PREHOSP DISASTER MED, V15, P40
   Nicholl J, 2007, EMERG MED J, V24, P665, DOI 10.1136/emj.2007.047654
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Yi P., 2010, SOCIO-ECON PLAN SCI, V44, P151, DOI [10.1016/j.seps.2009.11.002, DOI 10.1016/J.SEPS.2009.11.002]
   Zio E, 2016, RELIAB ENG SYST SAFE, V152, P137, DOI 10.1016/j.ress.2016.02.009
NR 21
TC 24
Z9 25
U1 6
U2 73
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1076-0342
EI 1943-555X
J9 J INFRASTRUCT SYST
JI J. Infrastruct. Syst.
PD MAR 1
PY 2019
VL 25
IS 1
AR 04018044
DI 10.1061/(ASCE)IS.1943-555X.0000465
PG 16
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering
GA HJ6DQ
UT WOS:000457274600006
DA 2025-04-22
ER

PT J
AU Visave, J
   Aldrich, DP
AF Visave, Jaideep
   Aldrich, Daniel P.
TI The role of social capital in strengthening community resilience against
   floods: A case study of Mumbai, India
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Social capital; Community resilience; Flood disasters; Disaster
   preparedness
AB This study examines the role of social capital in shaping flood resilience within Mumbai's Sahakar Nagar, a coastal community vulnerable to flooding. Through surveys of 100 residents, we find a positive correlation between trust in community members and the adoption of resilience strategies (r = 0.219, p < 0.05). Trust in neighbors emerges as a key predictor of proactive coping (beta = 1.23, p < 0.001), seeking social support (beta = 1.32, p < 0.001), and positive reappraisal (beta = 1.45, p < 0.001). K-means clustering reveals three distinct community groups ("High Trust Proactive", "Moderate Trust Networkers", and "Low Trust Individualists") exhibiting varying levels of social capital and resilience strategies, reflecting the community's diverse socioeconomic context, with bimodal income peaks at INR 40,000 and INR 100,000. Social network analysis identifies 12 interconnected sub-communities, highlighting the importance of information hubs within the network. Our findings underscore the critical role of trust in fostering community resilience, suggesting that interventions aimed at building and strengthening trust can enhance flood preparedness and response in urban coastal communities.
C1 [Visave, Jaideep] Univ North Carolina, Greensboro, NC 27412 USA.
   [Aldrich, Daniel P.] Northeastern Univ, Resilience Studies Program, Polit Sci & Publ Policy, Boston, MA USA.
C3 University of North Carolina; University of North Carolina Greensboro;
   Northeastern University
RP Visave, J (corresponding author), Univ North Carolina, Greensboro, NC 27412 USA.
EM jkvisave@uncg.edu; d.aldrich@northeastern.edu
RI Visave, Jaideep/MIO-3567-2025
OI Visave, Jaideep/0000-0003-2579-1892
CR Abunyewah M. O.-K., 2022, Disaster Risk Reudction for resileince: Disaster management strategies, P435
   Abunyewah M, 2023, INT J DISAST RISK RE, V94, DOI 10.1016/j.ijdrr.2023.103790
   Abunyewah M, 2019, INT J DISASTER RESIL, V11, P100, DOI 10.1108/IJDRBE-08-2019-0059
   Aldrich D.P., 2022, Routledge Handbook of Environmental Hazards and Society, P201, DOI 10.43249780367854584-18
   Aldrich D. P., 2012, uilding resilience: Social capital in post-disaster recovery
   Aldrich DanielP., 2012, Building resilience: Social capital in post-disaster recovery, DOI 10.7208/chicago/9780226012896.001.0001
   Aldrich DanielP., 2017, RETHINKING RESILIENC, P357, DOI [DOI 10.1007/978-3-319-50171-0_23, DOI 10.1007/978-3-319-50171-023]
   Fatemi MN, 2021, INT J DISASTER RESIL, V12, P500, DOI 10.1108/IJDRBE-08-2020-0094
   Granovetter M, 2005, J ECON PERSPECT, V19, P33, DOI 10.1257/0895330053147958
   Lukiyanto K, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04879
   Munoz Araceli, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20054195
   Ner NT, 2022, PROG DISASTER SCI, V16, DOI 10.1016/j.pdisas.2022.100249
   Opoku-Boateng E, 2024, CITIES, V152, DOI 10.1016/j.cities.2024.105234
   Partelow S, 2021, SUSTAIN SCI, V16, P203, DOI 10.1007/s11625-020-00854-2
   Putnam R.D., 2000, BOWLING ALONE COLLAP, DOI 10.1145/358916.361990
   Saz-Gil I, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020534
   Shiell A, 2020, SOC SCI MED, V257, DOI 10.1016/j.socscimed.2018.09.006
   Woolcock M, 1998, THEOR SOC, V27, P151, DOI 10.1023/A:1006884930135
NR 18
TC 1
Z9 1
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2025
VL 47
AR 100685
DI 10.1016/j.crm.2024.100685
EA JAN 2025
PG 14
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA U5M6E
UT WOS:001412235900001
OA gold
DA 2025-04-22
ER

PT J
AU Hussain, M
   Tayyab, M
   Ullah, K
   Ullah, S
   Rahman, ZU
   Zhang, JQ
   Al-Shaibah, B
AF Hussain, Muhammad
   Tayyab, Muhammad
   Ullah, Kashif
   Ullah, Safi
   Rahman, Zahid Ur
   Zhang, Jiquan
   Al-Shaibah, Bazel
TI Development of a new integrated flood resilience model using machine
   learning with GIS-based multi-criteria decision analysis
SO URBAN CLIMATE
LA English
DT Article
DE CapFlooR-M; Flood resilience; Machine learning; Analytical hierarchy
   process; Geographic information system; Pakistan
ID RISK-ASSESSMENT; SUSCEPTIBILITY ASSESSMENT; KHYBER PAKHTUNKHWA; URBAN
   COMMUNITIES; DISASTER RISK; VULNERABILITY; PROVINCE; INDEX; ADAPTATION;
   FRAMEWORK
AB Flood resilience assessment is an important step for any community as it gives the actual scenario of its ability to resist and recover from flood disasters. However, operationalising and quantifying resilience is still a challenge. In Pakistan, very limited research has been done to assess community resilience to floods. The present study proposed an integrated flood resilience model called the "capacity-based flood resilience model (CapFlooR-M)", which is based on, machine learning (ML), geographical information system (GIS), remote sensing (RS), and the analytical hierarchy process (AHP). The CapFlooR-M incorporates four main components-flood hazard susceptibility (Is), coping capacity (Cc), adaptive capacity (Ac), and transformative capacity (Tc). Random Forest (RF) and Support Vector Machine (SVM) models were used to create a flood susceptibility map, and the AHP was used to compute the relative scores of core capacities, such as Cc, Ac, and Tc and their respective maps were generated. Finally, the susceptibility map was integrated with Cc, Ac, and Tc maps via overlay analysis in GIS to develop a flood resilience map. The overall results reveal that the northwestern and southwestern parts (36.64%; 505 km2) of the study area have moderate to very high resilience, while the central and southeastern parts (63.46%; 877 km2) have very low to low resilience. The findings of this novel approach can support policymakers, land use planners, and other relevant stakeholders to build resilience against flood hazards.
C1 [Hussain, Muhammad; Tayyab, Muhammad; Zhang, Jiquan; Al-Shaibah, Bazel] Northeast Normal Univ, Inst Nat Disaster Res, Sch Environm, Changchun 130024, Peoples R China.
   [Ullah, Kashif] China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China.
   [Ullah, Safi] King Abdullah Univ Sci & Technol KAUST, Environm Sci & Engn Program, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia.
   [Rahman, Zahid Ur] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Zhang, Jiquan] Minist Educ, Key Lab Vegetat Ecol, Changchun 130024, Peoples R China.
   [Zhang, Jiquan] Northeast Normal Univ, State Environm Protect Key Lab Wetland Ecol & Vege, Changchun 130024, Peoples R China.
   [Ullah, Safi] King Abdullah Univ Sci & Technol KAUST, Climate & Livabil Initiat CLI, Thuwal, Saudi Arabia.
C3 Northeast Normal University - China; China University of Geosciences;
   King Abdullah University of Science & Technology; Chinese Academy of
   Sciences; Aerospace Information Research Institute, CAS; Northeast
   Normal University - China; King Abdullah University of Science &
   Technology
RP Zhang, JQ (corresponding author), Northeast Normal Univ, Inst Nat Disaster Res, Sch Environm, Changchun 130024, Peoples R China.
EM huse149@nenu.edu.cn; tany565@nenu.edu.cn; kashif@cug.edu.cn;
   31192048@njnu.edu.cn; zhangjq022@nenu.edu.cn; zee298@nenu.edu.cn
RI ullah, kashif/AHI-8210-2022; Ullah, Safi/X-6228-2019
OI ullah, kashif/0000-0003-2880-0977; Rahman, Zahid Ur/0000-0001-5482-4097;
   Ullah, Safi/0000-0002-2328-8321
FU International (Regional) Cooperation and Exchange Programs of the
   National Natural Science Foundation of China [41961144019]; Key
   Scientific and Technology Research and Development Program of Jilin
   Province [20200403074SF, 20180201033SF, 20180201035SF]
FX This research is supported by the International (Regional) Cooperation
   and Exchange Programs of the National Natural Science Foundation of
   China (41961144019) ; the Key Scientific and Technology Research and
   Development Program of Jilin Province (20200403074SF, 20180201033SF,
   20180201035SF) . We also would like to thank the Pakistan Meteorological
   Department (PMD) , Geological Survey of Pakistan, and District Health
   and Education Departments (Shangla) for providing us with the relevant
   data and United States Geological survey (USGS) for Landsat 8 and ASTER
   DEM images.
CR Abbas A, 2023, J ARID LAND, V15, P274, DOI 10.1007/s40333-023-0050-3
   Abbas A, 2022, INT J CLIMATOL, V42, P6665, DOI 10.1002/joc.7602
   Abdrabo KI, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101426
   Ai FF, 2014, FOOD CHEM, V143, P472, DOI 10.1016/j.foodchem.2013.08.013
   [Anonymous], 2022, GAR 2022 OUR WORLD R, DOI DOI 10.18356/9789210015059
   [Anonymous], 2017, Pakistan Population and Housing Census
   Arrighi C, 2019, SCI TOTAL ENVIRON, V654, P1010, DOI 10.1016/j.scitotenv.2018.11.191
   Atta-ur-Rahman, 2011, NAT HAZARDS, V59, P1239, DOI 10.1007/s11069-011-9830-8
   Bag R, 2022, J CLEAN PROD, V364, DOI 10.1016/j.jclepro.2022.132428
   Ballesteros-Cánovas JA, 2020, SCI TOTAL ENVIRON, V722, DOI 10.1016/j.scitotenv.2020.137875
   Batica J., 2013, INT C FLOOD RESIL EX, V5
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Busico G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247166
   Chakrabortty R, 2022, GEOCARTO INT, V37, P6713, DOI 10.1080/10106049.2021.1953618
   Cheek W, 2022, INT J DISAST RISK SC, V13, P317, DOI 10.1007/s13753-022-00410-9
   Christian AK, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100759
   Codjoe SNA, 2015, NAT HAZARDS, V77, P787, DOI 10.1007/s11069-015-1624-y
   Costache R, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12010106
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   De Silva MMGT, 2018, ECOL ECON, V152, P131, DOI 10.1016/j.ecolecon.2018.05.010
   Dinh H, 2017, SOC INDIC RES, V132, P1217, DOI 10.1007/s11205-016-1337-y
   Etkin D., 2016, DISASTER THEORY HAZA
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   GOP, 2017, MIN WAT RES ANN FLOO
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guo EL, 2014, NAT HAZARDS, V74, P947, DOI 10.1007/s11069-014-1238-9
   Ha H., 2021, PRACTICAL APPROACH F, DOI [10.1007/s10668-021-02041-4, DOI 10.1007/S10668-021-02041-4, 10.1007/S10668-021-02041-4]
   Hegney D., 2008, BUILDING RESILIENCE
   Hong HY, 2018, SCI TOTAL ENVIRON, V621, P1124, DOI 10.1016/j.scitotenv.2017.10.114
   Hussain M., 2021, GIS BASED MULTICRITE, P1
   Jamshed A, 2017, J EXTREME EVENTS, V4, P1750013, DOI [DOI 10.1142/S2345737617500130, 10.1142/S2345737617500130]
   Jamshed A, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101109
   Jeffrey A LWANG., 2001, Vulnerability: A View from Different Disciplines
   Jhan HT, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041585
   Jones L., 2015, MEASURINGSUBJECTIVE
   Kasperson R.E., 2005, ECOSYSTEMS HUMAN WEL, Vi., P143
   Kazuva E, 2021, ENVIRON SCI POLLUT R, V28, P11259, DOI 10.1007/s11356-020-11213-0
   Khalil U, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1028373
   Khan FA, 2012, INT J DISAST RISK SC, V3, P163, DOI 10.1007/s13753-012-0017-z
   Khan I, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102975
   Khan I, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-05700-4
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kourgialas NN, 2011, HYDROLOG SCI J, V56, P212, DOI 10.1080/02626667.2011.555836
   Le Cozannet G, 2013, NAT HAZARD EARTH SYS, V13, P1209, DOI 10.5194/nhess-13-1209-2013
   Lummen NS, 2014, NAT HAZARDS, V73, P1085, DOI 10.1007/s11069-014-1123-6
   Mahapatra M, 2015, NAT HAZARDS, V76, P139, DOI 10.1007/s11069-014-1491-y
   Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508
   Mehryar S, 2022, SCI TOTAL ENVIRON, V837, DOI 10.1016/j.scitotenv.2022.155854
   Meng XH, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102830
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Mind'je R, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101211
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mojaddadi H, 2017, GEOMAT NAT HAZ RISK, V8, P1080, DOI 10.1080/19475705.2017.1294113
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nasiri H, 2016, SUST WAT RESOUR MAN, V2, P331, DOI 10.1007/s40899-016-0051-x
   Nazeer M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236695
   Nicodemus KK, 2011, BRIEF BIOINFORM, V12, P369, DOI 10.1093/bib/bbr016
   de Andrade MMN, 2018, SCI TOTAL ENVIRON, V630, P903, DOI 10.1016/j.scitotenv.2018.02.271
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   PDMA, 2014, MONS CONT PLAN
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Penki R., 2022, RES SQ, P1
   Pham BT, 2021, KNOWL-BASED SYST, V219, DOI 10.1016/j.knosys.2021.106899
   Pouyan S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-94266-6
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Quan Q, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101043
   Quandt A, 2018, WORLD DEV, V107, P253, DOI 10.1016/j.worlddev.2018.02.024
   Rafiei-Sardooi E, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102614
   Rahman M, 2021, J ENVIRON MANAGE, V295, DOI 10.1016/j.jenvman.2021.113086
   Rana IA, 2018, NAT HAZARDS, V91, P239, DOI 10.1007/s11069-017-3124-8
   Rana IA, 2016, INT J DISAST RISK RE, V19, P366, DOI 10.1016/j.ijdrr.2016.08.028
   Rey W, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8020137
   Saaty T.L., 1989, ANAL HIERARCHY PROCE
   Sen MK, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2020.125197
   Shah A.A., 2018, ENVIRON SCI POLLUT R, P1
   Shah AA, 2019, INT J DISAST RISK RE, V34, P165, DOI 10.1016/j.ijdrr.2018.11.014
   Shah AA, 2018, NAT HAZARDS, V93, P147, DOI 10.1007/s11069-018-3293-0
   Shah AA, 2017, NAT HAZARDS, V88, P415, DOI 10.1007/s11069-017-2872-9
   Shen LC, 2022, CLIM SERV, V27, DOI 10.1016/j.cliser.2022.100317
   Syed A, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.832427
   Tan J, 2020, SOC INDIC RES, V152, P1153, DOI 10.1007/s11205-020-02479-5
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Tehrany MS, 2015, CATENA, V125, P91, DOI 10.1016/j.catena.2014.10.017
   Tehrany MS, 2014, J HYDROL, V512, P332, DOI 10.1016/j.jhydrol.2014.03.008
   Timmerman P, 1981, VULNERABILITY RESILI, P1
   Ullah F., 2020, FLOOD RISK PERCEPTIO, DOI [10.1007/s11069-020-04166-7, DOI 10.1007/S11069-020-04166-7]
   Ullah F, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101967
   Ullah K, 2022, GEOSCI FRONT, V13, DOI 10.1016/j.gsf.2022.101425
   Ullah K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229153
   Ullah S, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002511
   Ullah S, 2020, ATMOS RES, V246, DOI 10.1016/j.atmosres.2020.105122
   Ullah S, 2019, INT J CLIMATOL, V39, P1457, DOI 10.1002/joc.5894
   Ullah S, 2018, ATMOS RES, V210, P1, DOI 10.1016/j.atmosres.2018.04.007
   Ullah W, 2021, ATMOS RES, V253, DOI 10.1016/j.atmosres.2021.105489
   UN, 2020, UN Common Guidance on Helping Build Resilient Societies
   UNDRR, 2019, GLOB ASS REP DIS RIS
   United Nations Office for Disaster Risk Reduction (UNISDR), 2009, TERM DIS RISK RED
   Van Bronkhorst Bernice, 2012, Disaster Risk Management in South Asia: A Regional Overview
   Wahlstrom M., 2015, the Human Cost of Weather-Related Disasters 1995-2015
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Wang ZL, 2015, J HYDROL, V527, P1130, DOI 10.1016/j.jhydrol.2015.06.008
   Yu YF, 2023, ATMOS RES, V286, DOI 10.1016/j.atmosres.2023.106675
   Zakour M.J., 2013, Community disaster vulnerability: Theory, research, and practice, DOI DOI 10.1007/978-1-4614-5737-4
   Zhang YQ, 2023, SCI TOTAL ENVIRON, V876, DOI 10.1016/j.scitotenv.2023.162822
   Zhao L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124979
NR 110
TC 25
Z9 27
U1 34
U2 93
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JUL
PY 2023
VL 50
AR 101589
DI 10.1016/j.uclim.2023.101589
EA JUN 2023
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA N7RM3
UT WOS:001038939700001
DA 2025-04-22
ER

PT J
AU Asadieh, B
   Neisch, PM
AF Asadieh, Behnam
   Neisch, Paulina Maria
TI From the City to the Suburb: City Dynamics in the Time of a Polycrisis
SO SUSTAINABILITY
LA English
DT Article
DE decentralization; urban planning; migration; COVID-19; polycrisis
ID TESTS; IMPACT
AB External events and crises significantly influence urban development. This study primarily aimed to investigate the impact of the COVID-19 pandemic on city development dynamics through structural change and spatiotemporal analysis, focusing on the Hong Kong SAR as a case study. The analysis revealed disruptions across the office, residential, and retail property sectors during late 2019 and early 2020. The findings emphasize the "Polycrisis" concept, where overlapping social, economic, and health crises amplify impacts. The office sector demonstrated greater vulnerability, particularly in higher grade offices in and near central business districts. In contrast, the residential sector showed greater resilience overall, with smaller, centrally located units being more vulnerable, while larger, peripheral units exhibited a stronger resilience. The retail market responded distinctively, with peripheral areas experiencing a greater impact than the city core, reflecting pandemic-related restrictions. In general, the findings show that the recovery from the crises is slow and might affect future land use and urban planning norms. Additionally, population trends highlighted a shift toward suburban living, with recent rising densities in peripheral districts and population declines in central areas. This study's insights contribute to policymaking, urban planning, and discussions on understanding the evolving city dynamics.
C1 [Asadieh, Behnam; Neisch, Paulina Maria] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong 999077, Peoples R China.
C3 City University of Hong Kong
RP Asadieh, B (corresponding author), City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong 999077, Peoples R China.
EM basadieh2-c@my.cityu.edu.hk; p.neisch@cityu.edu.hk
OI Asadieh, Behnam/0000-0002-2127-5981
FU CityU Strategic Research Grant;  [7005654];  [7200700]
FX This research has been supported by the CityU Strategic Research Grant
   7005654 and Start-Up Grant 7200700.
CR Ahrend R., 2022, Changes in the Geography Housing Demand After the Onset of COVID-19: First Results from Large Metropolitan Areas in 13 OECD Countries
   Bai JS, 1998, ECONOMETRICA, V66, P47, DOI 10.2307/2998540
   Balemi N, 2021, FINANC MARK PORTFOLI, V35, P495, DOI 10.1007/s11408-021-00384-6
   Batty M, 2022, CITIES, V124, DOI 10.1016/j.cities.2022.103594
   Beck MJ, 2021, TRANSPORT REV, V41, P257, DOI 10.1080/01441647.2020.1848141
   BROWN RL, 1975, J ROY STAT SOC B MET, V37, P149
   Burdett R., 2021, The Future of Cities
   Chen C, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192315631
   Choi HY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063629
   CHOW GC, 1960, ECONOMETRICA, V28, P591, DOI 10.2307/1910133
   Clements MP, 2006, HBK ECON, V24, P605, DOI 10.1016/S1574-0706(05)01012-8
   Corazza MV, 2021, TRANSP RES INTERDISC, V12, DOI 10.1016/j.trip.2021.100503
   Couclelis H, 2020, ENVIRON PLAN B-URBAN, V47, P1121, DOI 10.1177/2399808320948657
   Cox N, 2020, BROOKINGS PAP ECO AC, P35, DOI 10.1353/eca.2020.0006
   Davies M, 2023, AUST J INT AFF, V77, P150, DOI 10.1080/10357718.2022.2095614
   Davis MorrisA., 2021, The work-from-home technology boon and its consequences
   Delventhal MJ, 2022, J URBAN ECON, V127, DOI 10.1016/j.jue.2021.103331
   Dinan S, 2024, POLICY DES PRACT, V7, P430, DOI 10.1080/25741292.2024.2316409
   GETIS A, 1992, GEOGR ANAL, V24, P189, DOI 10.1111/j.1538-4632.1992.tb00261.x
   Gilbert R., 1987, Statistical Methods for Environmental Pollution Monitoring
   Gocic M, 2013, GLOBAL PLANET CHANGE, V100, P172, DOI 10.1016/j.gloplacha.2012.10.014
   Grissom T., 1999, Journal of Real Estate Research, V18, P97, DOI [10.1080/10835547.1999.12090987, DOI 10.1080/10835547.1999.12090987]
   Gupta A, 2022, J FINANC ECON, V146, P594, DOI 10.1016/j.jfineco.2021.10.008
   Hoogerbrugge M, 2022, URBAN STUD, V59, P2092, DOI 10.1177/00420980211023052
   Huang ZC, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10080519
   Ilham MA, 2024, CITIES, V151, DOI 10.1016/j.cities.2024.105078
   Jin H, 2024, INQUIRY-J HEALTH CAR, V61, DOI 10.1177/00469580241266402
   Jin H, 2022, J MED ECON, V25, P437, DOI 10.1080/13696998.2022.2054202
   Kolankiewicz V., 2024, Australian Urban Policy: Prospects and Pathways, P165
   Lawrence M, 2024, GLOB SUSTAIN, V7, DOI 10.1017/sus.2024.1
   Liaros S, 2022, BUILT ENVIRON PROJ A, V12, P349, DOI 10.1108/BEPAM-01-2021-0004
   Liu LL, 2024, SCI DATA, V11, DOI 10.1038/s41597-024-02913-0
   Liu ST, 2021, ECON LETT, V207, DOI 10.1016/j.econlet.2021.110010
   Lo AY, 2021, NAT HAZARDS, V108, P867, DOI 10.1007/s11069-021-04710-z
   Lorens P, 2022, URBAN PLAN, V7, P159, DOI 10.17645/up.v7i3.5502
   Lu SR, 2023, INT J HOUS MARK ANAL, V16, P490, DOI 10.1108/IJHMA-08-2022-0125
   MacGregor G., 2024, Masters Thesis
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Martínez L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063295
   Matlovic R, 2024, FOLIA GEOGR-SLOVAKIA, V66, P5
   Moeckel R, 2017, TRANSP RES PROC, V26, P207, DOI 10.1016/j.trpro.2017.07.021
   Moritz S, 2017, R J, V9, P207
   Moser J, 2022, URBAN PLAN, V7, P15, DOI 10.17645/up.v7i3.5306
   Nechyba TJ, 2004, J ECON PERSPECT, V18, P177, DOI 10.1257/0895330042632681
   Nygaard CA, 2021, AUST J AGR RESOUR EC, V65, P878, DOI 10.1111/1467-8489.12449
   ORD JK, 1995, GEOGR ANAL, V27, P286, DOI 10.1111/j.1538-4632.1995.tb00912.x
   R.a.V. Department, The Government of the Hong Kong SAR Technical Notes
   Ramani A., 2021, The donut effect of Covid-19 on cities, DOI DOI 10.3386/W28876
   Salama A. M., 2023, Emerald Open Res, V1, P1, DOI [10.1108/EOR-05-2023-0006, DOI 10.1108/EOR-05-2023-0006]
   Schulz R, 2023, REG SCI URBAN ECON, V101, DOI 10.1016/j.regsciurbeco.2023.103915
   Serrano JJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15107899
   Steinführer A, 2024, J RURAL STUD, V111, DOI 10.1016/j.jrurstud.2024.103431
   Tajaddini R, 2023, INT J HOUS MARK ANAL, V16, P100, DOI 10.1108/IJHMA-11-2021-0121
   Takahashi Y, 2021, J RURAL STUD, V87, P292, DOI 10.1016/j.jrurstud.2021.09.013
   Tamine S., 2022, WHAT IMPACT HAD COVI
   Vicino TJ, 2022, URBAN PLAN, V7, P4, DOI 10.17645/up.v7i3.5376
   Vigiola GQ, 2022, URBAN PLAN, V7, P49, DOI 10.17645/up.v7i3.5298
   Wong G, 2008, J URBAN ECON, V63, P74, DOI 10.1016/j.jue.2006.12.007
   Yasin MY, 2020, GEOGRAFIA-MALAYSIA, V16, P56, DOI 10.17576/geo-2020-1604-05
   Yiu CYE, 2023, INT J HOUS MARK ANAL, V16, P535, DOI 10.1108/IJHMA-08-2022-0108
   Yiu CY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137317
   Zeileis A, 2005, J APPL ECONOM, V20, P99, DOI 10.1002/jae.776
   Zenkteler M, 2022, FUTURES, V135, DOI 10.1016/j.futures.2019.102494
   Zhao PJ, 2023, HUM SOC SCI COMMUN, V10, DOI 10.1057/s41599-023-02155-2
NR 64
TC 1
Z9 1
U1 5
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2024
VL 16
IS 24
AR 10809
DI 10.3390/su162410809
PG 18
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA Q8F9R
UT WOS:001386978900001
OA gold
DA 2025-04-22
ER

PT J
AU Bevilacqua, C
   Pizzimenti, P
   Ou, YP
AF Bevilacqua, Carmelina
   Pizzimenti, Pasquale
   Ou, Yapeng
TI Cities in Transition and Urban Innovation Ecosystems: Place and
   Innovation Dynamics in the Case of Boston and Cambridge (USA)
SO SUSTAINABILITY
LA English
DT Article
DE urban transition; innovation ecosystem; urban governance and planning
ID REGIONAL INNOVATION; CLUSTERS; ENTREPRENEURSHIP; SPECIALIZATION;
   PERFORMANCE; PROXIMITY; KNOWLEDGE; STRATEGY; CITY
AB Urban transition is gaining relevance in the academic and policy debate for rethinking urban development strategies toward resilience and sustainability. The transformative power of innovation and knowledge is called upon to speed up the process. In this paper, we address the issue of urban transition by exploring how the urban innovation ecosystem is a crucial factor in operationalizing city transition strategies. For this scope, we propose a methodological approach to identify the city-level innovation ecosystem by connecting innovation dynamics with urban transformation. The objective is to highlight how transition dynamics are spurred by the urban innovation ecosystem in its maturity stage. Therefore, the paper proposes a case study of the Boston area (the cities of Boston and Cambridge, USA) where it is possible to detect a mature urban innovation ecosystem. The case analysis unveiled the urban characterizing factors of the innovation ecosystem. Here, the concentration of innovation activities stimulates the demand for urban transformations, which are managed through urban planning and zoning and specific supportive policy-planning initiatives.
C1 [Bevilacqua, Carmelina] Sapienza Univ Rome, Pianificaz Design Tecnol Architettura PDTA Dept, Via Flaminia 72, I-00196 Rome, Italy.
   [Pizzimenti, Pasquale; Ou, Yapeng] Univ Mediterranea Reggio Calabria, PAU Dept, CLUDsLab, I-89124 Reggio Di Calabria, Italy.
C3 Sapienza University Rome; Universita Mediterranea di Reggio Calabria
RP Bevilacqua, C (corresponding author), Sapienza Univ Rome, Pianificaz Design Tecnol Architettura PDTA Dept, Via Flaminia 72, I-00196 Rome, Italy.
EM carmelina.bevilacqua@uniroma1.it; ouyapeng@gmail.com
RI Bevilacqua, Carmelina/JGM-0993-2023; Ou, Yapeng/AAB-4053-2021;
   Bevilacqua, Carmelina/O-6886-2015
OI Bevilacqua, Carmelina/0000-0002-8433-0773
FU European Union's Horizon 2020 research and innovation programme under
   the Marie Sklodowska-Curie [823952, 846144]; SOUND (Smart Open
   Urban-rural iNnovation Data) Project; Italian Minister of University and
   Research (MIUR) [2017JMHK4F]; Marie Curie Actions (MSCA) [846144]
   Funding Source: Marie Curie Actions (MSCA)
FX This research work is the result of the synergetic activity of the TREnD
   (Transition withResilience for Evolutionary Development) and ZES
   (opportunity Zones for innovation EcosystemSgovernance) Projects, which
   have received funding from the European Union's Horizon 2020 research
   and innovation programme under the Marie Sklodowska-Curie grant
   agreements No. 823952(TREND) an No. 846144 (ZES), and the SOUND (Smart
   Open Urban-rural iNnovation Data) Project that has received funding from
   the Italian Minister of University and Research (MIUR) under
   thePRIN-Progetti di Ricerca di Rilevante Interesse Nazionale Bando 2017
   grant no. 2017JMHK4F
CR Adler P, 2019, CITIES, V87, P121, DOI 10.1016/j.cities.2018.12.013
   Adner R, 2010, STRATEGIC MANAGE J, V31, P306, DOI 10.1002/smj.821
   Ailstock M., 2020, Federal Innovation Policy Paper Prepared by HRA, The New Localism and the Global Institute of Innovation Districts
   Allen CR, 2014, ECOSYSTEMS, V17, P578, DOI 10.1007/s10021-013-9744-2
   American Planning Association Practice Land-Use Classification, 1998, Zoning Practice
   [Anonymous], 2019, P EV ORG AUSP EXP GR
   Audretsch DB, 2003, TECHNOL ANAL STRATEG, V15, P273, DOI 10.1080/0953732032000051154
   Autio E., 2014, OXFORD HDB INNOVATIO, P204
   Autio Erkko., 2019, Handbook of Digital Innovation, DOI [DOI 10.4337/9781788119986.00017, https://doi.org/10.4337/9781788119986.00017]
   Balland PA, 2017, ECON GEOGR, V93, P1, DOI 10.1080/00130095.2016.1205947
   Bevilacqua C., 2020, New Metropolitan Perspectives Knowledge Dynamics, Innovation-Driven Policies towards the Territories Attractiveness Volume 1
   Bevilacqua C., 2016, Planum JournalA New Cycle of Urban Planning between Tactics and Strategy, P21
   Bevilacqua C, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010023
   Bevilacqua C, 2019, SMART INNOV SYST TEC, V100, P272, DOI 10.1007/978-3-319-92099-3_32
   Bevilacqua C, 2019, SMART INNOV SYST TEC, V100, P336, DOI 10.1007/978-3-319-92099-3_39
   Bontje M, 2009, GEOFORUM, V40, P843, DOI 10.1016/j.geoforum.2009.07.001
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Boston Area Research Initiative (BARI), About us
   Boston Redevelopment Agency, About us
   Boyer J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083232
   cambridgema, City of Cambridge Community Development Department
   Carayannis E.G., 2006, KNOWLEDGE CREATION D
   census, US Census Bureau Quick Fact
   Chan S., 2001, ESD83 Res Semin Eng Syst, V31, P1
   City of Boston (MA USA), Comprehensive Plan: Imagine Boston
   City of Cambridge (MA USA), 2018, Comprehensive Plan: Envision Cambridge. City of Cambridge Community Development Department
   City of Cambridge MA USA, The Zoning Ordinance
   City of Commerce, 2015, Colorado Land Development Code Commerce City, Article V. Uses and Accessory Structures
   Coenen L, 2017, ENVIRON PLAN C-POLIT, V35, P600, DOI 10.1177/0263774X16646583
   Compagnucci F, 2014, REV ECON REG URBAINE, P365, DOI 10.3917/reru.142.0365
   Crescenzi R, 2013, GROWTH CHANGE, V44, P287, DOI 10.1111/grow.12011
   Cukier D., 2018, J Innov Entrep, V7, DOI [https://doi.org/10.1186/s13731-018-0091-6, DOI 10.1186/S13731-018-0091-6]
   Data USA, City of Boston (MA) and Cambridge Profiles
   Dedehayir O, 2018, TECHNOL FORECAST SOC, V136, P18, DOI 10.1016/j.techfore.2016.11.028
   Dedehayir Ozgur, 2015, Journal of Technology Management & Innovation, V10, P145
   Delgado M, 2016, J ECON GEOGR, V16, P1, DOI 10.1093/jeg/lbv017
   Delgado M, 2014, RES POLICY, V43, P1785, DOI 10.1016/j.respol.2014.05.007
   Delgado M, 2010, J ECON GEOGR, V10, P495, DOI 10.1093/jeg/lbq010
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   European Environment Agency (EEA), 2018, 252017 EEA, DOI [10.2800/332443, DOI 10.2800/332443]
   FELDMAN MP, 1994, ANN ASSOC AM GEOGR, V84, P210, DOI 10.1111/j.1467-8306.1994.tb01735.x
   Ferras-Hernandez X, 2019, EUR MANAG REV, V16, P37, DOI 10.1111/emre.12330
   Florida R., 2017, The new urban crisis: gentrification, housing bubbles, growing inequality, and what we can do about it
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Foray D., 2012, Guide to Research and Innovation Strategies for Smart Specialisation (RIS 3)
   Foray D, 2018, CAMB J ECON, V42, P1505, DOI 10.1093/cje/bey022
   Fuenfschilling L, 2019, EUR PLAN STUD, V27, P219, DOI 10.1080/09654313.2018.1532977
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Gianelle C, 2016, Implementing Smart Specialisation: A Handbook, DOI [10.2791/53569, DOI 10.2791/53569]
   Granstrand O, 2020, TECHNOVATION, V90-91, DOI 10.1016/j.technovation.2019.102098
   Guler H., 2015, Handbook of Research on Cultural and Economic Impacts of the Information Society, P203
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hassink R, 2019, EUR PLAN STUD, V27, P2049, DOI 10.1080/09654313.2019.1650898
   Huang J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041320
   Hwang V., 2012, The Rainforest-the Secrets to Building the Next Silicon Valley, V2
   Iammarino S., 2017, Why Regional Development Mat-ters for Europe's Economic Future
   Inkinen Tommi., 2015, Journal of Open Innovation: Technology, Market, and Complexity, V1, P1
   Jackson DJ., 2011, What is an innovation ecosystem, P1
   Jucevicius G, 2014, PROCD SOC BEHV, V156, P125, DOI 10.1016/j.sbspro.2014.11.133
   Kalliomäki H, 2024, EUR PLAN STUD, V32, P78, DOI 10.1080/09654313.2023.2216727
   Karlsson C, 2014, SMALL BUS ECON, V43, P393, DOI 10.1007/s11187-014-9542-z
   Katz B., 2014, The rise of innovation districts: A new geography of innovation in America (Metropolitan Policy Program at Brookings Policy Brief)
   Kuss P, 2022, CASE STUD TRANSP POL, V10, P1494, DOI 10.1016/j.cstp.2022.02.001
   Lagendijk A, 2007, EUR PLAN STUD, V15, P457, DOI 10.1080/09654310601133260
   Lewin AY, 1999, ORGAN SCI, V10, P519, DOI 10.1287/orsc.10.5.519
   Liu Z., 2019, J. Open Innov. Technol. Market Complex, V5, P48, DOI DOI 10.3390/JOITMC5030048
   Loorbach D, 2016, THEOR PRACT URB SUST, P3, DOI 10.1007/978-4-431-55426-4_1
   Martin-Breen P., 2011, Resilience: A Literature Review Bellagio Initiative
   Mccann P., 2020, Place-based innovation for sustainability, JRC, DOI [DOI 10.2760/250023, 10.2760/250023]
   McGuirk P, 2021, GEOGR RES-AUST, V59, P188, DOI 10.1111/1745-5871.12456
   Mercan B., 2011, INT RES J FINANCE EC, V76, P102
   Merry U, 1999, SYST PRACT ACT RES, V12, P257, DOI 10.1023/A:1022499601393
   Moonen T., 2016, Building the Innovation Economy: City-Level Strategies for Planning, Placemaking en Promotion
   Morisson A, 2019, URBAN RES PRACT, V12, P472, DOI 10.1080/17535069.2018.1472799
   Mulas V., 2016, Innovations: Technology, Governance, Globalization, V11, P98, DOI [DOI 10.1162/INOVA00251, 10.1162/inov_a_00251]
   Nonaka I., 2003, Knowledge Management Research & Practice, V1, P2, DOI 10.1057/palgrave.kmrp.8500001
   Nylund Petra A., 2019, IEEE Engineering Management Review, V47, P60, DOI 10.1109/EMR.2019.2931696
   OECD Cluster Policies, 2010, The Innovation Policy Platorm. Policy Brief
   OECD Policy Responses to Coronavirus (COVID-19), Cities Policy Responses. Tackling Coronavirus (COVID-19) Contributing to a Global Effort
   OGAWA RT, 1991, REV EDUC RES, V61, P265, DOI 10.3102/00346543061003265
   Oh DS, 2016, TECHNOVATION, V54, P1, DOI 10.1016/j.technovation.2016.02.004
   Oksanen K., 2014, The Innovation Journal: The Public Sector Innovation Journal, V19, P1
   Phillips MA, 2019, TECHNOL FORECAST SOC, V148, DOI 10.1016/j.techfore.2019.119739
   Pinheiro FL, 2022, REG STUD, DOI 10.1080/00343404.2022.2106362
   Pique Huerta J.M., 2008, Ph.D. Thesis
   Porter ME, 2000, ECON DEV Q, V14, P15, DOI 10.1177/089124240001400105
   Porter ME, 2003, REG STUD, V37, P549, DOI 10.1080/0034340032000108688
   Rabelo RJ, 2015, IFAC PAPERSONLINE, V48, P2250, DOI 10.1016/j.ifacol.2015.06.423
   Repette P, 2021, LAND-BASEL, V10, DOI 10.3390/land10010033
   Riasanow T, 2021, ELECTRON MARK, V31, P89, DOI 10.1007/s12525-020-00407-6
   Rissola G., 2019, Place-Based Innovation Ecosystems: Boston-Cambridge Innovation Districts (USA), EUR 29720 EN, DOI [10.2760/183238,JRC116173, DOI 10.2760/183238,JRC116173]
   Rivas M., 2018, SMART SPECIALISATION
   Robaczewska J., 2019, GLOBAL TRANSITIONS, V1, P120, DOI [DOI 10.1016/J.GLT.2019.05.001, 10.1016/j.glt.2019.05.001]
   Roberts P., 2000, Urban regeneration: A handbook, DOI 10.4135/9781473921788.n2
   Russell M.G., 2011, P TRIPL HEL 9 INT C
   Russell MG, 2018, TECHNOL FORECAST SOC, V136, P114, DOI 10.1016/j.techfore.2017.11.024
   Schmitt L., 2018, P ENTERPRISE RESEARC
   Sharifi A, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.142391
   Shearmur R, 2012, CITIES, V29, pS9, DOI 10.1016/j.cities.2012.06.008
   Simmie J, 2003, REG STUD, V37, P607, DOI 10.1080/0034340032000108714
   Smorodinskaya N, 2017, PROCEEDINGS OF THE 50TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, P5245
   Stake, 1995, The Art of Case Study Research, DOI DOI 10.1108/EB024859
   Sternberg R, 2007, TIJDSCHR ECON SOC GE, V98, P652, DOI 10.1111/j.1467-9663.2007.00431.x
   Sterrenberg L., 2013, Low-Carbon Transition through System Innovation
   Sundstrom SM, 2019, ECOL COMPLEX, V39, DOI 10.1016/j.ecocom.2019.100767
   Tselios V, 2020, ECONOMIES, V8, DOI 10.3390/economies8020038
   Tsujimoto M, 2018, TECHNOL FORECAST SOC, V136, P49, DOI 10.1016/j.techfore.2017.06.032
   U.S. Cluster Mapping Portal, Education and Knowledge Creation Cluster
   UN-Habitat, WORLD CIT REP 2022 E
   UN-HABITAT and World Health Organization, 2020, INT HLTH URB TERR PL
   United States. Department of State, Innovation Policy
   Urban Europe Draft Proposal for a European Partnership under Horizon Europe, Driving Urban Transitions to a Sustainable Future (DUT)
   Urban Europe (JPI), Draft Proposal for a European Partnership under Horizon Europe. Driving Urban Transitions to a Sustainable Future (DUT)
   Vey J., 2017, Assessing Your Innovation District: A How-to Guide
   Vidalenc E., 2013, ECEEE SUMM STUD P PA, V855, P866
   Volgmann K, 2018, REG STUD REG SCI, V5, P125, DOI 10.1080/21681376.2018.1452630
   von Schönfeld KC, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031137
   Wagner Julie., 2017, Innovation Spaces: The New Design of Work
   Weiss E., 2020, Realizing the Transformative Potential of Opportunity Zone Business Investing. A Guide for Practitioners
   Wessner CW, 2005, INT STUD ENTREP, V7, P67
   Yigitcanlar T., 2018, Urban Knowledge and Innovation Spaces: Insights, Inspirations and Inclinations from Global Practices
   Yigitcanlar T., 2008, P ANN ASS C IB AM CO, P305
   Yigitcanlar T, 2010, INT J KNOWL-BASED DE, V1, P263
   Yin R.K., 2009, Case Study Research: Design and Methods
   Zhang FZ, 2019, CITIES, V85, P150, DOI 10.1016/j.cities.2018.09.003
NR 125
TC 5
Z9 5
U1 21
U2 68
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2023
VL 15
IS 18
AR 13346
DI 10.3390/su151813346
PG 30
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA S9GX3
UT WOS:001074188500001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Ermagun, A
   Smith, V
   Janatabadi, F
AF Ermagun, Alireza
   Smith, Virginia
   Janatabadi, Fatemeh
TI High urban flood risk and no shelter access disproportionally impacts
   vulnerable communities in the USA
SO COMMUNICATIONS EARTH & ENVIRONMENT
LA English
DT Article
ID ENVIRONMENTAL JUSTICE; RESILIENCE; HEALTH; RACE
AB Vulnerable communities are disproportionately placed in low-lying, flood-prone neighborhoods, with deficient infrastructure and limited access to shelter. Here we present a methodology to study the risk of urban floods in tandem with access to shelter to reduce the risk of flooding to communities and prevent a natural hazard from turning into a human disaster. We integrate access to national emergency shelters into a national risk index for riverine floods in eight U.S. cities at the block group level using clustering techniques. The results show shelters are more accessible for inner-city residents regardless of the risk level, and communities with high risk of flood and low access to shelter are disproportionately home to the underserved populations of Asians and the elderly. The outcomes delineate the disparity in equity related to urban floods and support plans and policy needs by identifying and prioritizing areas to improve emergency responses and resource allocations.
   The disparity in access to shelter undermines the resilience of the urban population in the USA to flood risks and highlights the need for shelter planning to ensure effective disaster response, according to an analysis combining measures of flood risk and access to shelter
C1 [Ermagun, Alireza; Janatabadi, Fatemeh] George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USA.
   [Smith, Virginia] Villanova Univ, Dept Civil & Environm Engn, Villanova, PA 19085 USA.
C3 George Mason University; Villanova University
RP Ermagun, A; Janatabadi, F (corresponding author), George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USA.; Smith, V (corresponding author), Villanova Univ, Dept Civil & Environm Engn, Villanova, PA 19085 USA.
EM aermagun@gmu.edu; virginia.smith@villanova.edu; fjanatab@gmu.edu
OI Smith, Virginia/0000-0002-5640-8692
CR Ajjur SB, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-16475-x
   Allen M, 2020, NAT HAZARDS, V101, P173, DOI 10.1007/s11069-020-03868-2
   [Anonymous], The National Risk Index
   [Anonymous], 2021, 2020 in Review: Global Temperature Rankings
   Borden KA, 2007, J HOMEL SECUR EMERG, V4, DOI 10.2202/1547-7355.1279
   Brunner MI, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00248-x
   Census, 2019, AM COMMUNITY SURVEY
   Cutter SL, 2017, GLOBAL ENVIRON CHANG, V42, P117, DOI 10.1016/j.gloenvcha.2016.12.010
   Ermagun Alireza, 2023, Figshare, DOI 10.6084/m9.figshare.24596718.v2
   Ermagun A, 2023, TRANSPORT RES D-TR E, V118, DOI 10.1016/j.trd.2023.103692
   Ermagun A, 2020, TRANSPORT RES D-TR E, V86, DOI 10.1016/j.trd.2020.102461
   Federal Emergency Management Agency (FEMA), National Risk Index
   FEMA, 2023, Flood Mitigation Assistance Grant Program FY 2022 Subapplication and Selection Status
   FirstStreet Foundation, 2022, Flood Factor-First Street Foundation
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   Harrington J., 2018, Daily Advertiser
   Helsel P., 2017, NBC NEWS
   Hendricks MD, 2021, ENVIRON JUSTICE, V14, P87, DOI 10.1089/env.2020.0054
   Isahak A, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.501
   Janatabadi F, 2023, ENVIRON PLAN B-URBAN, V50, P1858, DOI 10.1177/23998083221147527
   Kar B, 2008, T GIS, V12, P227, DOI 10.1111/j.1467-9671.2008.01097.x
   Kellens W., 2009, P 24 INT CART C INT, P1
   Kongsomsaksakul S., 2005, J E ASIA SOC TRANSPO, V6, P4237, DOI DOI 10.11175/EASTS.6.4237
   Lamond JE, 2015, ENVIRON RES, V140, P325, DOI 10.1016/j.envres.2015.04.008
   Lee YH, 2021, ENVIRON HAZARDS-UK, V20, P432, DOI 10.1080/17477891.2020.1840327
   Maantay J, 2009, APPL GEOGR, V29, P111, DOI 10.1016/j.apgeog.2008.08.002
   Mabahwi N. A. B., 2021, IOP Conf. Ser. Earth Environ. Sci., V799
   Manawongcharoen P., 2021, IOP Conf. Ser. Earth Environ. Sci., V884
   Masuya A, 2015, NAT HAZARDS, V78, P1859, DOI 10.1007/s11069-015-1802-y
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   NACWA, 2022, NACWA REPORT-10 Historic Rain and Flood Events in 2022 Push Boundaries of US Water Infrastructure, Magnify Imperative for More Federal Funding to Protect Public Health
   National Weather Service (NWS), 2022, Historic Flash Flooding in the St
   Patel RB, 2009, NEW ENGL J MED, V361, P741, DOI 10.1056/NEJMp0810878
   Pelling M., 2003, Natural Disasters and development in a globalizing world
   Pralle S, 2019, CLIMATIC CHANGE, V152, P227, DOI 10.1007/s10584-018-2287-y
   Rendana M., 2023, Geol Ecol Landsc, DOI [DOI 10.1080/24749508.2023.2205717, 10.1080/24749508.2023.2205717]
   Sanyal J, 2009, J FLOOD RISK MANAG, V2, P262, DOI 10.1111/j.1753-318X.2009.01043.x
   Schilderman T, 2004, BUILD RES INF, V32, P414, DOI 10.1080/0961321042000250979
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   Tennessee Emergency Management Agency (TEMA), 2021, March Flooding Brings Tennessee a 2nd Federal Disaster Declaration in 2021
   U.S. Department of Homeland Security, 2020, HIFLD Open Data. Homelnd Infrastructure Foundation-Level Data
   Ueland J, 2006, GEOGR REV, V96, P50, DOI 10.1111/j.1931-0846.2006.tb00387.x
   Wing OEJ, 2022, NAT CLIM CHANGE, V12, P156, DOI 10.1038/s41558-021-01265-6
   Yu DP, 2020, NAT SUSTAIN, V3, P728, DOI 10.1038/s41893-020-0516-7
   Zhang B, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2023GL105640
NR 46
TC 22
Z9 22
U1 20
U2 34
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2662-4435
J9 COMMUN EARTH ENVIRON
JI Commun. Earth Environ.
PD JAN 2
PY 2024
VL 5
IS 1
AR 2
DI 10.1038/s43247-023-01165-x
PG 8
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA EH8G3
UT WOS:001138116900003
OA gold
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Sundaram, S
   Devaraj, S
   Yarrakula, K
AF Sundaram, Sreechanth
   Devaraj, Suresh
   Yarrakula, Kiran
TI Modeling, mapping and analysis of urban floods in India-a review on
   geospatial methodologies
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Review
DE Urban floods; Floods; Models; Urban systems; Resilience
ID CLIMATE-CHANGE; RISK-ASSESSMENT; RIVER-BASIN; RAINFALL-RUNOFF; GIS;
   URBANIZATION; MANAGEMENT; STORM; IMPACTS; AREAS
AB An increasing trend of urban floods in India from past several years causes major damages on Indian cities. By 2050, more than half of the population in the developing countries like India are expected to migrate to urban regions. Urbanization is triggered in developing countries as people migrate to cities in search of employment opportunities resulting in formation of new slums. With high density of population concentration in cities, urban floods are triggered leading to a significant impact of human life and economy of the country. The review focuses on addressing the urban flood occurrence in India and its relationship with population growth climate change. The study also describes the impact of urban floods to the environment and integrated methodologies adopted over decades for the prediction and effective mitigation and management during a disaster event.
C1 [Sundaram, Sreechanth] Vellore Inst Technol, Ctr Disaster Mitigat & Management, Vellore 632104, Tamil Nadu, India.
   [Devaraj, Suresh] Saveetha Engn Coll, Dept Civil Engn, Chennai 602105, Tamil Nadu, India.
   [Yarrakula, Kiran] GKCIET, Civil Engn Dept, Malda 732141, W Bengal, India.
C3 Vellore Institute of Technology (VIT); VIT Vellore
RP Yarrakula, K (corresponding author), GKCIET, Civil Engn Dept, Malda 732141, W Bengal, India.
EM kiran@gkciet.ac.in
RI Devaraj, Suresh/A-4190-2015; Yarrakula, Kiran/T-3391-2019
OI Devaraj, Suresh/0000-0003-0095-1837
CR Abdessamed D, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8604-6
   Abdrabo KI, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213548
   Addo KA, 2011, REMOTE SENS-BASEL, V3, P2029, DOI 10.3390/rs3092029
   Ahluwalia IJ, 2019, J URBAN AFF, V41, P83, DOI 10.1080/07352166.2016.1271614
   Al Jarah SH, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020485
   Alam A, 2020, GEOJOURNAL, V85, P1529, DOI 10.1007/s10708-019-10037-x
   Alawamy JS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114490
   Albano R, 2015, ISPRS INT J GEO-INF, V4, P2704, DOI 10.3390/ijgi4042704
   Ancona M, 2014, PROCEDIA COMPUT SCI, V32, P941, DOI 10.1016/j.procs.2014.05.515
   Anderson J R., 1976, Professional Paper
   Andimuthu R, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43859-3
   [Anonymous], 2016, INFLUENCE LAND USE A, DOI [10.5772/63719, DOI 10.5772/63719]
   Arshad Z, 2020, ENVIRON SCI POLLUT R, V27, P10065, DOI 10.1007/s11356-019-07507-7
   Atta-ur -Rahman, 2016, URBAN DISASTERS RESI, P1, DOI DOI 10.1016/B978-0-12-802169-9.00001-X
   Audisio C, 2011, NAT HAZARD EARTH SYS, V11, P2951, DOI 10.5194/nhess-11-2951-2011
   Babi MLA, 2017, IOP C SER EARTH ENV, V81, DOI 10.1088/1755-1315/81/1/012130
   Baky AA, 2012, APCBEE PROC, V1, P318, DOI 10.1016/j.apcbee.2012.03.052
   Bamford TB, 2008, P 11 INT C URB DRAIN
   Barredo Jose I., 2010, Sustainability, V2, P1327, DOI 10.3390/su2051327
   Brown PT, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0239520
   Budamala V, 2021, GEOCARTO INT, V36, P1027, DOI 10.1080/10106049.2019.1629646
   Carbone M, 2014, PROCEDIA ENGINEER, V70, P256, DOI 10.1016/j.proeng.2014.02.029
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chen A, 2008, C 11 INT C URB DRAIN
   Chen J, 2009, J HYDROL, V373, P184, DOI 10.1016/j.jhydrol.2009.04.021
   Chung HW, 2015, REMOTE SENS-BASEL, V7, P11954, DOI 10.3390/rs70911954
   Conesa-Garcia C, 2010, REMOTE SENS-BASEL, V2, P2607, DOI 10.3390/rs2112607
   Croci S, 2014, PROCEDIA ENGINEER, V70, P389, DOI 10.1016/j.proeng.2014.02.044
   Das S., 2007, Bull. World Meteorol. Org, V56, P179
   De U., 2013, J Ind Geophys Union, V17, P153
   Dehghanian N, 2020, HYDROL RES, V51, P423, DOI 10.2166/nh.2020.141
   Devaraj S, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-06108-w
   Devaraj S, 2022, GEOCARTO INT, V37, P2424, DOI 10.1080/10106049.2020.1822926
   Dewan TH, 2015, WEATHER CLIM EXTREME, V7, P36, DOI 10.1016/j.wace.2014.11.001
   Dey AK, 2007, WATER SCI TECHNOL, V55, P19, DOI 10.2166/wst.2007.091
   Dhiman R, 2019, APPL WATER SCI, V9, DOI 10.1007/s13201-018-0881-9
   Du J, 2019, INT J DISAST RISK SC, V10, P89, DOI 10.1007/s13753-018-0195-4
   Egerer M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00024-y
   Elkhrachy I, 2015, EGYPT J REMOTE SENS, V18, P261, DOI 10.1016/j.ejrs.2015.06.007
   Ettritch G, 2018, REMOTE SENS ENVIRON, V217, P506, DOI 10.1016/j.rse.2018.08.029
   Ferreira, 2019, RESILIENT STRUCTURES, P453, DOI DOI 10.1007/978-981-13-7446-3_17
   Ferreira TM., 2020, RECENT ADV ASSESSMEN, DOI [10.3390/books978-3-03936-831-0, DOI 10.3390/BOOKS978-3-03936-831-0]
   Ferronato N, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16061060
   Fleischmann A, 2017, EGU GEN ASSEMBLY 201
   Fleischmann A, 2018, J HYDROL, V561, P943, DOI 10.1016/j.jhydrol.2018.04.041
   FOWLER AM, 1995, NAT HAZARDS, V11, P283, DOI 10.1007/BF00613411
   Fritz M, 2017, THEOR PRACT URB SUST, P15, DOI 10.1007/978-3-319-56091-5_2
   García-Pintado J, 2015, J HYDROL, V523, P706, DOI 10.1016/j.jhydrol.2015.01.084
   Getahun Y.S., 2015, Journal of Civil Environmental Engineering, V5, P1
   Ghimire S, 2013, CLIMATE, V1, P148, DOI 10.3390/cli1030148
   Gichamo TZ, 2012, ENVIRON MODELL SOFTW, V31, P37, DOI 10.1016/j.envsoft.2011.12.003
   Gómez C, 2016, ISPRS J PHOTOGRAMM, V116, P55, DOI 10.1016/j.isprsjprs.2016.03.008
   Gupta K, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0211
   Haider S, 2003, P I CIVIL ENG-WATER, V156, P129, DOI 10.1680/wame.2003.156.2.129
   Handayani W, 2020, LAND-BASEL, V9, DOI 10.3390/land9100343
   Hansson K, 2008, J ENVIRON MANAGE, V86, P465, DOI 10.1016/j.jenvman.2006.12.037
   Hasnat G.N.T., 2018, Handbook of environmental materials management, DOI [DOI 10.1007/978-3-319-58538-37-1, DOI 10.1007/978-3-319-58538-3_7-1]
   Hua AK, 2017, J ENVIRON PUBLIC HEA, V2017, DOI 10.1155/2017/7515130
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Huynh Thi Lan H., 2011, HYDROL EARTH SYST SC, V8, P10781, DOI [10.5194/hessd-8-10781-2011, DOI 10.5194/HESSD-8-10781-2011]
   Jang JH, 2015, WATER-SUI, V7, P6056, DOI 10.3390/w7116056
   Jang S, 2007, DESALINATION, V212, P344, DOI 10.1016/j.desal.2007.05.005
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Komi K, 2017, J HYDROL-REG STUD, V10, P122, DOI 10.1016/j.ejrh.2017.03.001
   Konrad CP., 2016, US GEOL SURV, P1
   Krause A, 2019, EARTHS FUTURE, V7, P833, DOI 10.1029/2018EF001123
   Kulkarni AT, 2014, COMPUT GEOSCI-UK, V64, P7, DOI 10.1016/j.cageo.2013.11.002
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Kwak Y, 2015, REMOTE SENS-BASEL, V7, P15969, DOI 10.3390/rs71215805
   Lakshmi SE, 2018, GEOFIZIKA, V35, P129, DOI 10.15233/gfz.2018.35.7
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Li FH, 2012, ENRGY PROCED, V16, P1283, DOI 10.1016/j.egypro.2012.01.205
   Li ZF, 2014, WATER-SUI, V6, P1151, DOI 10.3390/w6051151
   Lo SW, 2015, SENSORS-BASEL, V15, P20006, DOI 10.3390/s150820006
   Loo YY, 2015, GEOSCI FRONT, V6, P817, DOI 10.1016/j.gsf.2014.02.009
   Loucks D.P., 2017, Water Resource Systems Planning and Management, DOI [10.1007/978-3-319-44234-112, DOI 10.1007/978-3-319-44234-112]
   Lund JR, 2012, WATER-SUI, V4, P157, DOI 10.3390/w4010157
   Lyu HY, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0302-1
   Malini A., 2017, 2017 INT C TECHNOLOG, P1
   Malinowski R, 2015, REMOTE SENS-BASEL, V7, P14853, DOI 10.3390/rs71114853
   Marconi M, 2016, NAT HAZARDS, V81, P329, DOI 10.1007/s11069-015-2082-2
   Mark O, 2001, Urban Drain Model, P333, DOI [10.1061/40583(275)32, DOI 10.1061/40583(275)32]
   Mason DC, 2014, INT J APPL EARTH OBS, V28, P150, DOI 10.1016/j.jag.2013.12.002
   McGuigan K, 2015, J MAR SCI ENG, V3, P1093, DOI 10.3390/jmse3031093
   Melgarejo LF, 2014, INT J DISAST RISK RE, V9, P147, DOI 10.1016/j.ijdrr.2014.05.002
   Meyer N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195514
   Milesi C, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213494
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Mimura N, 2013, P JPN ACAD B-PHYS, V89, P281, DOI 10.2183/pjab.89.281
   Mishra AK, 2015, NAT HAZARDS, V78, P1463, DOI 10.1007/s11069-015-1768-9
   Morita M, 2014, WATER-SUI, V6, P253, DOI 10.3390/w6020253
   Mujumdar M., 2020, DROUGHTS FLOODS ASSE, P117, DOI [10.1007/978-981-15-4327-2_6, DOI 10.1007/978-981-15-4327-2_6]
   Muthusamy Seenirajan Muthusamy Seenirajan, 2017, Journal of Geographic Information System, V9, P126, DOI 10.4236/jgis.2017.92009
   Notaro V, 2014, PROCEDIA ENGINEER, V89, P788, DOI 10.1016/j.proeng.2014.11.508
   Ouyang W, 2012, J ENVIRON MANAGE, V113, P467, DOI 10.1016/j.jenvman.2012.10.017
   Paquier A, 2015, PROCEDIA ENGINEER, V115, P37, DOI 10.1016/j.proeng.2015.07.352
   Parida Y, 2021, ENVIRON DEV SUSTAIN, V23, P535, DOI 10.1007/s10668-020-00595-3
   Prawiranegara M, 2014, PROCD SOC BEHV, V135, P18, DOI 10.1016/j.sbspro.2014.07.319
   Prütz R, 2021, NAT HAZARDS, V108, P1807, DOI 10.1007/s11069-021-04757-y
   Qi YF, 2020, WATER-SUI, V12, DOI 10.3390/w12102788
   Ramlal B, 2008, J ENVIRON MANAGE, V88, P1131, DOI 10.1016/j.jenvman.2007.06.010
   Ranger N, 2011, CLIMATIC CHANGE, V104, P139, DOI 10.1007/s10584-010-9979-2
   Reddy KR, 2019, INDIAN J GEO-MAR SCI, V48, P1761
   Revilla-Romero B, 2015, REMOTE SENS-BASEL, V7, P15702, DOI 10.3390/rs71115702
   Rubinato M, 2019, WATER SCI ENG, V12, P274, DOI 10.1016/j.wse.2019.12.004
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Samarasinghe SMJS, 2010, INT ARCH PHOTOGRAMM, V38, P110
   Satterthwaite D, 2010, PHILOS T R SOC B, V365, P2809, DOI 10.1098/rstb.2010.0136
   Shimokawa S, 2016, PROCD SOC BEHV, V216, P481, DOI 10.1016/j.sbspro.2015.12.065
   Shrestha Sangam, 2017, International Journal of Sustainable Built Environment, V6, P285, DOI 10.1016/j.ijsbe.2016.09.006
   Simoes NE, 2015, WATER-SUI, V7, P3396, DOI 10.3390/w7073396
   Simonovic SP, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1509
   Singh BR., 2012, GLOBAL WARMING IMPAC, DOI [10.5772/2599, DOI 10.5772/2599]
   Singh RK, 2020, AIN SHAMS ENG J, V11, P1035, DOI 10.1016/j.asej.2020.01.011
   Sivalingam S, 2022, GEOCARTO INT, V37, P4888, DOI 10.1080/10106049.2021.1899306
   Solaimani K, 2009, AFR J AGR RES, V4, P950
   Srivastava RK., 2012, DISAS MANAGE
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   Sukhwani V, 2020, SMART CITIES-BASEL, V3, P1266, DOI 10.3390/smartcities3040062
   Sun AY, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1b7d
   Sun LQ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19158-1
   Sundaram S., 2017, INDIAN J ECOL, V44, P564
   Supriya P, 2015, AQUAT PR, V4, P957, DOI 10.1016/j.aqpro.2015.02.120
   Surampudi S, 2020, ENVIRON SCI POLLUT R, V27, P1521, DOI 10.1007/s11356-019-06849-6
   Suresh D, 2018, INDIAN J GEO-MAR SCI, V47, P1969
   Suroso DSA, 2013, PROCEDIA ENVIRON SCI, V17, P372, DOI 10.1016/j.proenv.2013.02.050
   Syme W.J., 2004, 8th National Conference on Hydrodynamics in Water Engineering, The Institution of Engineers, P1
   Szypula B, 2019, OPEN GEOSCI, V11, P843, DOI 10.1515/geo-2019-0066
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Talbot CJ, 2018, BIOGEOCHEMISTRY, V141, P439, DOI 10.1007/s10533-018-0449-7
   Tanoue M, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026092
   Tarekegn TH, 2010, INT J APPL EARTH OBS, V12, P457, DOI 10.1016/j.jag.2010.05.007
   Tazyeena S, 2015, AQUAT PR, V4, P1173, DOI 10.1016/j.aqpro.2015.02.149
   Timbadiya PV, 2014, CURR SCI INDIA, V106, P708
   Turner AB, 2013, WATER-SUI, V5, P1533, DOI 10.3390/w5041533
   van de Sande B, 2012, WATER-SUI, V4, P568, DOI 10.3390/w4030568
   Vercruysse K, 2019, J HYDROL, V578, DOI 10.1016/j.jhydrol.2019.124038
   Vorobevskii I, 2020, HYDROLOGY-BASEL, V7, DOI 10.3390/hydrology7020035
   Wang X., 2008, INT ARCH PHOTOGRAMM, V37, P775
   Wang Y, 2015, WATER-SUI, V7, P6404, DOI 10.3390/w7116404
   Wu XX, 2016, ENVIRON INT, V86, P14, DOI 10.1016/j.envint.2015.09.007
   Xing Y, 2019, NAT HAZARDS, V96, P473, DOI 10.1007/s11069-018-3553-z
   Yan J, 2011, ENRGY PROCED, V5, P403, DOI 10.1016/j.egypro.2011.03.069
   Yusmah MY, 2020, NAT HAZARDS, V101, P551, DOI 10.1007/s11069-020-03885-1
   Zeng CQ, 2015, REMOTE SENS-BASEL, V7, P14055, DOI 10.3390/rs71014055
   Zhang DJ, 2015, ECOL MODEL, V301, P54, DOI 10.1016/j.ecolmodel.2015.01.018
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
NR 147
TC 22
Z9 22
U1 3
U2 63
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0944-1344
EI 1614-7499
J9 ENVIRON SCI POLLUT R
JI Environ. Sci. Pollut. Res.
PD DEC
PY 2021
VL 28
IS 48
BP 67940
EP 67956
DI 10.1007/s11356-021-16747-5
EA OCT 2021
PG 17
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XZ8VH
UT WOS:000705810800006
PM 34626336
DA 2025-04-22
ER

PT J
AU Cheng, SB
   Li, HY
AF Cheng, Shubo
   Li, Haoying
TI Resilience Assessment of Flood Disasters in Zhengzhou Metropolitan Area
   Based on the PSR Model
SO SUSTAINABILITY
LA English
DT Article
DE Zhengzhou metropolitan area; flood disaster; resilience assessment;
   disaster prevention and mitigation; PSR model; enhancement strategy
ID RISK-ASSESSMENT
AB Flood disasters occur frequently and cause great losses. Improving the resilience of urban flood disasters is of great significance to improving disaster prevention and mitigation in the region. The metropolitan area is the center of regional economic development and the key to strengthening the construction of local resilience. However, there is little research on resilience in the metropolitan area. Taking nine cities in the Zhengzhou metropolitan area as the research object, this paper uses the pressure state response (PSR) model to build the evaluation system of the Zhengzhou metropolitan area's flood disaster resilience and comprehensively uses the entropy weight method, analytic hierarchy process, kernel density estimation method, and factor contribution model to measure the temporal and spatial evolution characteristics of Zhengzhou metropolitan area's flood disaster resilience from 2010 to 2022, excavating the development trend of the level of flood disaster resilience of members in the Zhengzhou metropolitan area, and explore the driving factors affecting the resilience of the Zhengzhou metropolitan area's flood disaster. The results show that (1) from 2010 to 2022, the development trend of flood disaster resilience among the Zhengzhou metropolitan area members has obvious differences, the change of pressure resilience is stable, and the state resilience and response resilience increase as a whole; (2) the results show that the resilience of flood disaster in the Zhengzhou metropolitan area has obvious change characteristics in time and space, and the overall trend is to take Zhengzhou as the core to drive the surrounding members' upward development; (3) in the driving factor analysis, the number of ordinary colleges and universities and the proportion of public security expenditure in fiscal expenditure are the main influencing factors in the resilience evaluation index. The Zhengzhou metropolitan area is the key area of economic development in Henan Province. The research results provide a reference for improving the resilience level of the Zhengzhou metropolitan area and strengthening the prevention and control of flood disasters.
C1 [Cheng, Shubo; Li, Haoying] Henan Polytech Univ, Safety & Emergency Management Res Ctr, Jiaozuo 454000, Peoples R China.
   [Cheng, Shubo] Henan Polytech Univ, Emergency Management Lab, Jiaozuo 454000, Peoples R China.
C3 Henan Polytechnic University; Henan Polytechnic University
RP Li, HY (corresponding author), Henan Polytech Univ, Safety & Emergency Management Res Ctr, Jiaozuo 454000, Peoples R China.
EM shubohpu@163.com; haoying1li@163.com
CR Agrawal N, 2020, WATER-SUI, V12, DOI 10.3390/w12051254
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Bulletin C.g.o.C.F.a.D.D.P., 2023, China Flood & Drought Management, V3, P78, DOI [10.16867/j.issn.1673-9264.2023410, DOI 10.16867/J.ISSN.1673-9264.2023410]
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   Carvalho P, 2023, FRONT EARTH SC-SWITZ, V11, DOI 10.3389/feart.2023.1124166
   Central China Development Research Institute, 2022, Economic Operation Analysis of Henan Province's Cities and Regions: Pingdingshan Chapter
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen JF, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17010049
   Chen M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12062819
   Chen XB, 2022, KSCE J CIV ENG, V26, P4178, DOI 10.1007/s12205-022-2257-9
   Cui P, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19169993
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Das S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155932
   Fekete A, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12600
   Fu JY, 2020, J CLEAN PROD, V270, DOI 10.1016/j.jclepro.2020.122271
   He W, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1042264
   Heras Gutirrez D.D.L., 2020, Econ. Soc. Territ, V20, P719, DOI [10.22136/est20201441, DOI 10.22136/EST20201441]
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   [胡畔 Hu Pan], 2021, [地理学报, Acta Geographica Sinica], V76, P1148
   Huang P, 2020, NAT HAZARDS, V103, P3783, DOI 10.1007/s11069-020-04155-w
   IPCC, 2021, Climate Change 2021: The Physical Science Basis, DOI DOI 10.3316/INFORMIT.315096509383738.INTERACTION
   Jenifer MA, 2017, J HYDROL, V548, P605, DOI 10.1016/j.jhydrol.2017.03.023
   Jiang CT, 2023, INTERNET THINGS-NETH, V23, DOI 10.1016/j.iot.2023.100810
   Joyce J, 2018, ENVIRON MODELL SOFTW, V100, P82, DOI 10.1016/j.envsoft.2017.11.008
   Kong L, 2022, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-022-20891-x
   Lai SH, 2022, HUM ECOL RISK ASSESS, V28, P734, DOI 10.1080/10807039.2022.2081835
   Lei Z, 2011, PROCEDIA ENGINEER, V26, DOI 10.1016/j.proeng.2011.11.2173
   Liang ZF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042082
   Liu ZW, 2022, FRONT ENERGY RES, V10, DOI 10.3389/fenrg.2022.975462
   Lu HG, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.899786
   Luoyang Municipal People's Government, 2014, Regulations on Urban Greening in Luoyang City
   Lv J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152115235
   Mackay BR, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16188076
   Parsons M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102422
   Pei JJ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16203802
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Rivosecchi A, 2023, WATER-SUI, V15, DOI 10.3390/w15223936
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Saja AMA, 2021, INT J DISAST RISK SC, V12, P790, DOI 10.1007/s13753-021-00378-y
   Shan SQ, 2023, NAT HAZARDS, V118, P377, DOI 10.1007/s11069-023-06010-0
   SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI 10.1002/j.1538-7305.1948.tb01338.x
   Standing Committee of the National Peoples Congress, 2021, Peoples Daily
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   [滕五晓 Teng Wuxiao], 2018, [城市发展研究, Urban Studies], V25, P39
   UNDRR, 2023, United Nations Office for Disaster Risk Reduction UNDRR Terminology. Resilience
   Walz R, 2000, ENVIRON MANAGE, V25, P613, DOI 10.1007/s002670010048
   [王利平 Wang Liping], 2022, [水利水运工程学报, Hydro-Science and Engineering], P1
   [王启飞 Wang Qifei], 2023, [中国安全科学学报, China Safety Science Journal（CSSJ）], V33, P198
   Wang SS, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100829
   Wang WJ, 2024, BUILDINGS-BASEL, V14, DOI 10.3390/buildings14051274
   Wu JR, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102968
   Xu HS, 2018, J HYDROL, V563, P975, DOI 10.1016/j.jhydrol.2018.06.060
   Xu T, 2023, WATER SCI TECHNOL, V87, P2820, DOI 10.2166/wst.2023.149
   Yang F, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159595
   Yang YY, 2020, ECOL SOC, V25, DOI 10.5751/ES-11464-250205
   Yi PT, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2023.103528
   Yu SR, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0291674
   Zhang BB, 2024, BUILDINGS-BASEL, V14, DOI 10.3390/buildings14020502
   Zhang MM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224442
   Zhao WT, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097185
   Zhao ZL, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16167090
   Zhou Y, 2022, POL J ENVIRON STUD, V31, P2381, DOI 10.15244/pjoes/144098
   Zhu SY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109959
NR 64
TC 1
Z9 1
U1 24
U2 24
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2024
VL 16
IS 23
AR 10243
DI 10.3390/su162310243
PG 24
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA P5G3E
UT WOS:001378184300001
OA gold
DA 2025-04-22
ER

PT J
AU Fraser, A
AF Fraser, Arabella
TI The missing politics of urban vulnerability: The state and the
   co-production of climate risk
SO ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE
LA English
DT Article
DE Urban vulnerability; risk assessment; disaster risk management; climate
   change adaptation; co-production
ID LIVELIHOODS; RESILIENCE
AB Studies of urban disaster and climate change risk have increasingly invoked governmentality as a theoretical frame for understanding how urban risk governance functions. This article argues that the use of governmentality in this context can advance political readings of urban vulnerability to climate risk. However, using the idiom of co-production from Science and Technology Studies, I question current treatments of the politics of expertise in the urban risk governance literature, highlighting the need to understand the political commitments and practices that shape the implementation of purportedly technical risk knowledge and their particular manifestation in the context of informal, urban settlements. A case study from Bogota, Colombia, links the science and practice of state risk management to vulnerability outcomes in informal urban settlements. It shows how a new suite of qualitative methodological approaches are revealing of the power-knowledge dynamics in governance that influence vulnerability, and their differential social effects.
C1 [Fraser, Arabella] Overseas Dev Inst, 203 Blackfriars Rd, London SE1 8NJ, England.
RP Fraser, A (corresponding author), Overseas Dev Inst, 203 Blackfriars Rd, London SE1 8NJ, England.
EM a.fraser@odi.org.uk
FU London School of Economics
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This work
   was supported by the London School of Economics, with fieldwork
   supported by the University of London Central Research Fund.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], CLIM CHANG DIS RISK
   Bankoff G, 2009, DISASTERS, V33, P686, DOI 10.1111/j.1467-7717.2009.01104.x
   Biehl J, 2005, ANTHROPOLOGIES OF MODERNITY: FOUCAULT, GOVERNMENTALITY, AND LIFE POLITICS, P248, DOI 10.1002/9780470775875.ch10
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Blaikie P., 1994, RISK NATURAL HAZARDS
   Boyd E, 2014, GLOBAL ENVIRON CHANG, V26, P140, DOI 10.1016/j.gloenvcha.2014.03.012
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bulkeley Harriet., 2015, Accomplishing Climate Change Governance
   Corbridge S., 2005, SEEING STATE GOVERNA
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Haan L, 2005, DEV CHANGE, V36, P27, DOI 10.1111/j.0012-155X.2005.00401.x
   Dickson E., 2010, Understanding Urban Risk: An approach for assessing disaster and climate risk in cities
   DPAE, 2009, REC INT ZON ALT RIES
   DPAE, 2006, 4426 DPAE
   DPAE, 2007, 3256 DPAE
   Duminy J, 2011, LIT SURVEY INFORM PL
   Epstein Steven., 2009, INCLUSION POLITICS D
   Ferguson J., 1994, Ecologist, V24, P176
   Forsyth T., 2003, CRITICAL POLITICAL E
   Gupta A., 2012, RED TAPE BUREAUCRACY
   Hendriks B, 2011, INT DEV PLANN REV, V33, P111, DOI 10.3828/idpr.2011.9
   Hewitt K., 1983, INTERPRETATIONS CALA
   Jasanoff S., 1998, HUMAN CHOICE CLIMATE, V1, P1
   Jasanoff S., 2004, STATES KNOWLEDGE COP, P1, DOI DOI 10.4324/9780203413845
   Jenkins P, 2011, 4 EUR C AFR STUD AFR
   Joya SolanyiRobles., 2009, Impactos del reasentamiento por vulnerabilidad en areas de alto riesgo
   Lampis A, 2012, PERSPECTIVAS INVESTI
   Lane SN, 2011, PHILOS T R SOC A, V369, P1784, DOI 10.1098/rsta.2010.0346
   Leach M., 1997, Discussion Paper - Institute of Development Studies, University of Sussex
   Lewis D, 2008, J SOC POLICY, V37, P559, DOI 10.1017/S0047279408002213
   Li Tania., 2007, The Will to Improve: Governmentality, Development, and the Practice of Politics
   Lopez DH, 2007, JOINT CIG ISPRS C GE
   Moser C., 2010, Report No.54947-GLB
   Mustafa D, 2005, ANN ASSOC AM GEOGR, V95, P566, DOI 10.1111/j.1467-8306.2005.00475.x
   Pelling M., 2003, VULNERABILITY CITIES
   Rebotier J, 2012, GLOBAL ENVIRON CHANG, V22, P391, DOI 10.1016/j.gloenvcha.2011.12.002
   Rothstein H, 2012, PUBLIC ADMIN, V90, P781, DOI 10.1111/j.1467-9299.2011.01999.x
   Roy A, 2009, PLAN THEOR, V8, P76, DOI 10.1177/1473095208099299
   Satterthwaite D, 2011, WIRES CLIM CHANGE, V2, P767, DOI 10.1002/wcc.136
   Stripple J, 2014, GOVERNING THE CLIMATE: NEW APPROACHES TO RATIONALITY, POWER AND POLITICS, P1
   Varley A, 2013, ENVIRON PLANN D, V31, P4, DOI 10.1068/d14410
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wynne Brian, 1996, Risk, Environment and Modernity: Towards a New Ecology, P44, DOI DOI 10.4135/9781446221983.N3
   Zeiderman A, 2012, ENVIRON PLANN A, V44, P1570, DOI 10.1068/a44283
NR 46
TC 20
Z9 23
U1 1
U2 46
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0308-518X
EI 1472-3409
J9 ENVIRON PLANN A
JI Environ. Plan. A
PD DEC
PY 2017
VL 49
IS 12
BP 2835
EP 2852
DI 10.1177/0308518X17732341
PG 18
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA FN3VH
UT WOS:000415928600010
OA Green Submitted, Green Accepted
DA 2025-04-22
ER

PT J
AU An, N
   Yu, QX
   Wang, M
AF An, Ning
   Yu, Qixin
   Wang, Min
TI Social media reconstructions of urban identity during the COVID-19
   pandemic
SO GEOGRAPHICAL RESEARCH
LA English
DT Article
DE COVID-19; public crisis; public participation; social media; urban
   China; urban identity
ID GUANGZHOU; POLITICS; PLACE
AB The COVID-19 pandemic has profoundly affected people in urban areas. This article reports on a comparative empirical study of the pandemic in Guangzhou and Xi'an in 2021 and analyses how residents responded to social media during the crisis. Using Baidu's hot search time machine to search for hot topics related to the spread of disease during each outbreak of COVID-19, we collected 35 and 41 hashtags for Guangzhou's and Xi'an's epidemics, respectively. Based on a thematic analysis of those hashtags, we considered how residents reconstructed expressions of urban identity in both cities. We found that China's unique official accountability system in local anti-epidemic practices led to stricter forms of top-down urban governance and that urban residents deployed forms of bottom-up agency in response. Our work provides a refined agenda for geographers and other social scientists to examine the interconnections among urban resilience, urban social responses to major public crises, and urban culture.
C1 [An, Ning; Yu, Qixin; Wang, Min] South China Normal Univ, Sch Geog, 55 Zhongshan Ave West, Guangzhou, Peoples R China.
C3 South China Normal University
RP Wang, M (corresponding author), South China Normal Univ, Sch Geog, 55 Zhongshan Ave West, Guangzhou, Peoples R China.
EM wminmin@m.scnu.edu.cn
RI Yu, Qixin/JZE-3339-2024
OI An, Ning/0000-0002-1510-5898; Yu, Qixin/0000-0002-5694-7805; Wang,
   Min/0000-0001-8567-8125
FU National Natural Science Foundation of China [41871127, 42171226]
FX This work was supported by the National Natural Science Foundation of
   China under grants No. 41871127 and 42171226
CR AbouKorin SAA, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103324
   Blunt A., 2003, Cultural Geography In Practice
   Bodomo Adams., 2012, AFRICANS CHINA SOCIO
   Capolongo S., 2020, EUR J PUBLIC HEALTH, V30, P165, DOI [10.1093/eurpub/ckaa165.427, DOI 10.1093/EURPUB/CKAA165.427]
   Casey E.S., 1997, ANN ASSOC AM GEOGR, V87, P509
   Chen XL, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102755
   Cole J, 2021, GEOGR RES-AUST, V59, P169, DOI 10.1111/1745-5871.12457
   Cresswell Tim., 2004, PLACE SHORT INTRO
   Cuomo RE, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0241330
   de Certeau M., 1984, PRACTICE EVERYDAY LI
   de Rosa AS, 2021, URBAN DES INT, V26, P370, DOI 10.1057/s41289-021-00151-z
   Dowling R, 2009, PROG HUM GEOG, V33, P833, DOI 10.1177/0309132508104998
   Harvey David, 1973, SOCIAL JUSTICE CITY, DOI DOI 10.1017/S0047279400001094
   Li MB, 2023, J URBAN HIST, V49, P723, DOI 10.1177/00961442211040460
   Litzinger R, 2021, CHINA INFORM, V35, P346, DOI 10.1177/0920203X211030869
   Liu C, 2014, AREA, V46, P228, DOI 10.1111/area.12102
   Ma WT, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102754
   Massey D. B., 2005, For Space
   Maza A, 2022, GEOGR RES-AUST, V60, P218, DOI 10.1111/1745-5871.12521
   Peng ZH, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9060402
   Qian JX, 2020, PROG HUM GEOG, V44, P77, DOI 10.1177/0309132518817824
   Qian JX, 2012, GEOFORUM, V43, P905, DOI 10.1016/j.geoforum.2012.04.004
   Reis L, 2020, SPACE CULT, V23, P253, DOI 10.1177/1206331220938642
   Soja EW., 1996, THIRDSPACE JOURNEY L
   Sturm T, 2021, POLIT GEOGR, V91, DOI 10.1016/j.polgeo.2021.102445
   Tsavdaroglou C, 2022, GEOGR RES-AUST, V60, P232, DOI 10.1111/1745-5871.12522
   TwiggerRoss CL, 1996, J ENVIRON PSYCHOL, V16, P205, DOI 10.1006/jevp.1996.0017
   Wang S, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103361
   Wang YM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116151
   WHO, 2022, Coronavirus disease (COVID-19): Overview
   Xu J, 2005, INT J URBAN REGIONAL, V29, P283, DOI 10.1111/j.1468-2427.2005.00585.x
   Zhang JM, 2021, MEDICINE, V100, DOI 10.1097/MD.0000000000025207
   Zidouemba PR, 2020, EUR J DEV RES, V32, P1379, DOI 10.1057/s41287-020-00324-6
   Ziyaee M, 2018, CITIES, V74, P21, DOI 10.1016/j.cities.2017.10.021
NR 34
TC 2
Z9 3
U1 8
U2 30
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1745-5863
EI 1745-5871
J9 GEOGR RES-AUST
JI Geogr. Res.
PD FEB
PY 2023
VL 61
IS 1
BP 71
EP 80
DI 10.1111/1745-5871.12569
EA NOV 2022
PG 10
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 8W8JH
UT WOS:000878862700001
DA 2025-04-22
ER

PT J
AU Masood, N
   Russo, A
AF Masood, Nausheen
   Russo, Alessio
TI Community Perception of Brownfield Regeneration through Urban Rewilding
SO SUSTAINABILITY
LA English
DT Article
DE nature-based solutions; urban biodiversity; ecosystem services; urban
   wilderness
ID ECOSYSTEM SERVICES; GREEN SPACES; BIODIVERSITY; CITIES; REDEVELOPMENT;
   BENEFITS; CITY; RESTORATION; ENGLAND; LEIPZIG
AB Brownfield regeneration using a rewilding approach could provide an opportunity to create new green spaces in our cities. However, studies on public perceptions of rewilding projects are limited. Thus, the purpose of this study was to better understand the public's perspective of brownfield regeneration and the perceived advantages that these regenerations may give if regenerated as urban green areas as part of rewilding projects. An online survey containing 21 dichotomous and multiple-choice items was created to learn about people's preferences for brownfield regeneration, the advantages of urban rewilding, and the value of biodiversity in urban contexts. Results show that most people are aware of the benefits of urban regeneration and receptive to the idea of rewilding for urban resilience. Our findings raise awareness of the possibility of regenerating abandoned lots to create accessible green spaces for our communities.
C1 [Masood, Nausheen; Russo, Alessio] Univ Gloucestershire, Sch Arts, Francis Close Hall Campus, Cheltenham GL50 4AZ, England.
C3 University of Gloucestershire
RP Russo, A (corresponding author), Univ Gloucestershire, Sch Arts, Francis Close Hall Campus, Cheltenham GL50 4AZ, England.
EM arusso@glos.ac.uk
RI Russo, Alessio/M-6352-2016
OI Russo, Alessio/0000-0002-0073-7243
CR Adams D, 2010, URBAN STUD, V47, P75, DOI 10.1177/0042098009346868
   Allmark P, 2004, J MED ETHICS, V30, P185, DOI 10.1136/jme.2003.004374
   [Anonymous], 2020, BUGLIFE IDENTIFYING
   Aronson MFJ, 2017, FRONT ECOL ENVIRON, V15, P189, DOI 10.1002/fee.1480
   Aronson MFJ, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.3330
   Atkinson G, 2014, URBAN FOR URBAN GREE, V13, P586, DOI 10.1016/j.ufug.2013.04.002
   Baing AS, 2010, INT PLAN STUD, V15, P25, DOI 10.1080/13563471003736910
   Barreto MA, 2018, POLIT GROUPS IDENTIT, V6, P171, DOI 10.1080/21565503.2017.1419433
   Beninde J, 2015, ECOL LETT, V18, P581, DOI 10.1111/ele.12427
   Bonnes M, 2011, ENVIRON BEHAV, V43, P207, DOI 10.1177/0013916509354699
   Bullock JM, 2011, TRENDS ECOL EVOL, V26, P541, DOI 10.1016/j.tree.2011.06.011
   Cerqueira Y., 2015, REWILDING EUROPEAN L, P47
   Clancy C, 2020, CONSERV SOC, V18, P126, DOI 10.4103/cs.cs_19_71
   Connop S, 2016, ENVIRON SCI POLICY, V62, P99, DOI 10.1016/j.envsci.2016.01.013
   CPRE, 2021, REC OUR LAND STAT BR
   Croeser T, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00073-x
   Cundy AB, 2016, J ENVIRON MANAGE, V184, P67, DOI 10.1016/j.jenvman.2016.03.028
   Czech B, 2000, BIOSCIENCE, V50, P593, DOI 10.1641/0006-3568(2000)050[0593:EAACOS]2.0.CO;2
   Danford RS, 2018, URBAN FOR URBAN GREE, V29, P377, DOI 10.1016/j.ufug.2017.11.014
   De Valck J, 2019, ECOSYST SERV, V35, P139, DOI 10.1016/j.ecoser.2018.12.006
   Denton P, REWILDING CITIES RES
   Diemer M., 2003, INT J WILDERNESS, V9, P7
   Dijkstra L, 2021, J URBAN ECON, V125, DOI 10.1016/j.jue.2020.103312
   Dixon T, 2007, URBAN STUD, V44, P2379, DOI 10.1080/00420980701540887
   Doick KJ, 2009, URBAN FOR URBAN GREE, V8, P163, DOI 10.1016/j.ufug.2009.05.002
   Dudovskiy J., 2022, An Ultimate Guide to Writing a Dissertation in Business Studies: A Step-by-step Assistance, V6th
   Fisher M, 2020, NATURAL SCI SPATIAL
   Foo K, 2013, CITIES, V35, P156, DOI 10.1016/j.cities.2013.06.012
   Forest Research, 2022, FOREST RES REGENERAT
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Greenberg M, 2000, URBAN STUD, V37, P2501, DOI 10.1080/00420980020080661
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Harris L, 8 CITIES REWILDING T
   Hawkins S., 2023, Routledge Handbook of Rewilding
   Hunter P, 2014, EMBO REP, V15, P1238, DOI 10.15252/embr.201439736
   Hwang Y.H., 2020, ROUTLEDGE HDB URBAN, P11
   Hwang YH, 2019, J LANDSC ARCHIT, V14, P54
   Hwang YH, 2019, URBAN FOR URBAN GREE, V38, P165, DOI 10.1016/j.ufug.2018.12.005
   Ives CD, 2016, GLOBAL ECOL BIOGEOGR, V25, P117, DOI 10.1111/geb.12404
   Kabisch N, 2015, ENVIRON IMPACT ASSES, V50, P25, DOI 10.1016/j.eiar.2014.08.007
   Koch F, 2018, SUSTAIN CITIES SOC, V38, P31, DOI 10.1016/j.scs.2017.11.021
   Kowarik I, 2018, URBAN FOR URBAN GREE, V29, P336, DOI 10.1016/j.ufug.2017.05.017
   Kowarik Ingo., 2013, International Journal of Wilderness, V19, P32
   Kuper R, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126570
   Lehmann S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052932
   Leighton K, 2021, CLIN SIMUL NURS, V55, P37, DOI 10.1016/j.ecns.2021.03.006
   Li GD, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29324-2
   Loures L, 2018, HABITAT INT, V72, P66, DOI 10.1016/j.habitatint.2016.11.003
   Mathey J., 2010, Urban biodiversity and design, P406, DOI DOI 10.1002/9781444318654.CH21
   Mathey J, 2018, URBAN FOR URBAN GREE, V29, P384, DOI 10.1016/j.ufug.2016.10.007
   Mathey J, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000275
   McKinney M. L., 2020, Curr. Landsc. Ecol. Rep., V5, P35, DOI [10.1007/s40823-020-00051-y, DOI 10.1007/S40823-020-00051-Y]
   McKinney ML, 2002, BIOSCIENCE, V52, P883, DOI 10.1641/0006-3568(2002)052[0883:UBAC]2.0.CO;2
   Nagengast A, 2011, J URBAN PLAN D-ASCE, V137, P298, DOI 10.1061/(ASCE)UP.1943-5444.0000072
   NASSAUER JI, 1988, HORTSCIENCE, V23, P973
   Newton P, 2018, URBAN REGENERATION IN AUSTRALIA: POLICIES, PROCESSES AND PROJECTS OF CONTEMPORARY URBAN CHANGE, P249
   Oke C, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-020-00010-w
   Parker C., 2019, SAGE research methods foundations, DOI DOI 10.4135/9781526421036831710
   Pereira H.M., 2015, REWILDING EUROPEAN L, DOI DOI 10.1017/CBO9781107415324.004
   Pettorelli N, 2019, ECOL REV, P1
   Preston PD, 2023, LANDSCAPE URBAN PLAN, V229, DOI 10.1016/j.landurbplan.2022.104590
   Pueffel C, 2018, ECOSYST SERV, V30, P73, DOI 10.1016/j.ecoser.2018.01.011
   Rall EL, 2011, LANDSCAPE URBAN PLAN, V100, P189, DOI 10.1016/j.landurbplan.2010.12.004
   Rink D, 2009, NAT CULT, V4, P275, DOI 10.3167/nc.2009.040304
   Rodriguez RS, 2018, NAT CLIM CHANGE, V8, P181, DOI 10.1038/s41558-018-0098-9
   Rouder J., 2021, Surv Pract, P1, DOI [DOI 10.29115/SP-2021-0008, 10.29115/SP-2021-0008]
   Russo A., 2020, SUSTAINABLE HUMAN NA, P187, DOI [10.1007/978-981-15-3049-4_10, DOI 10.1007/978-981-15-3049-4_10]
   Russo A, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102180
   Shephard J., 2004, ROLE UK DEV IND BROW
   Simkin RD, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2117297119
   Sin CH, 2004, AGEING SOC, V24, P257, DOI 10.1017/S0144686X03001545
   Solarski M, 2021, LAND-BASEL, V10, DOI 10.3390/land10080838
   Song YA, 2019, SCI TOTAL ENVIRON, V663, P568, DOI 10.1016/j.scitotenv.2019.01.347
   Threlfall CG, 2018, URBAN FOR URBAN GREE, V29, P348, DOI 10.1016/j.ufug.2017.05.012
   Xiang PC, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071205
   Xu WY, 2022, LANDSCAPE RES, V47, P388, DOI 10.1080/01426397.2022.2039110
   Yeo S., 2021, J CLIN ENDOCR METAB
   Zheng B, 2011, LANDSCAPE URBAN PLAN, V99, P1, DOI 10.1016/j.landurbplan.2010.08.006
   Zhong QC, 2020, ECOSYST HEALTH SUST, V6, DOI 10.1080/20964129.2020.1743206
NR 79
TC 12
Z9 12
U1 37
U2 95
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2023
VL 15
IS 4
AR 3842
DI 10.3390/su15043842
PG 15
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 9L2DR
UT WOS:000941365800001
OA gold, Green Accepted
DA 2025-04-22
ER

PT J
AU Wei, Y
   Yuan, H
   Li, HC
AF Wei, Yao
   Yuan, Hong
   Li, Hanchen
TI Exploring the Contribution of Advanced Systems in Smart City Development
   for the Regeneration of Urban Industrial Heritage
SO BUILDINGS
LA English
DT Article
DE smart city development; urban industrial heritage; traditional
   industrial blocks; revitalization; sustainability; community engagement
ID HOLISTIC APPROACH; POLICY
AB This article shows the potential of smart city development in revitalizing urban industrial heritage and traditional industrial blocks. It highlights the challenges faced by these areas, such as aging infrastructure, pollution, and neglect. Smart city technologies are examined as effective solutions for addressing these challenges by promoting efficient resource utilization, improving mobility and connectivity, and enhancing the quality of the built environment. International examples of smart city initiatives implemented in industrial heritage sites and traditional industrial blocks are presented to demonstrate the potential benefits of these technologies. This article emphasizes the importance of inclusivity, sustainability, and community engagement in the revitalization process. It argues that smart city development should prioritize the needs and aspirations of local communities, leveraging their knowledge and expertise for long-term success and sustainability. This article underscores the significance of adopting a comprehensive and integrated approach to urban revitalization that considers social, economic, and environmental dimensions of sustainability. It suggests that smart city development can act as a catalyst for transforming urban industrial areas into thriving and resilient landscapes capable of addressing the challenges of the 21st century. This article aims to explore the potential of smart city development in revitalizing urban industrial heritage and traditional industrial blocks while advocating for equitable outcomes and sustainable urban environments.
C1 [Wei, Yao; Yuan, Hong] Southwest Jiaotong Univ, Sch Architecture & Design, Chengdu 610041, Peoples R China.
   [Li, Hanchen] Chengdu Inst Technol, Sch Mat & Environm Engn, Chengdu 610041, Peoples R China.
C3 Southwest Jiaotong University; Chengdu University of Technology
RP Yuan, H (corresponding author), Southwest Jiaotong Univ, Sch Architecture & Design, Chengdu 610041, Peoples R China.
EM weiyao_0711@163.com; arcyuan@home.swjtu.edu.cn; lhchen1@cdtu.edu.cn
CR Alam T, 2021, SMART CITIES-BASEL, V4, P1196, DOI 10.3390/smartcities4030064
   Aldelaimi MN, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20102986
   Angelidou M, 2018, J SCI TECHNOL POLICY, V9, P146, DOI 10.1108/JSTPM-05-2017-0016
   Aymen F, 2019, ENERGIES, V12, DOI 10.3390/en12050929
   Barletta VS, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10020714
   Bibri Simon Elias, 2020, Energy Informatics, V3, DOI 10.1186/s42162-020-00133-5
   Botti G., 2016, South Archit, V2, P61
   Castelnovo W, 2016, SOC SCI COMPUT REV, V34, P724, DOI 10.1177/0894439315611103
   Chen LW, 2023, INQUIRY-J HEALTH CAR, V60, DOI 10.1177/00469580221146041
   Chen Y, 2024, TECHNOL FORECAST SOC, V200, DOI 10.1016/j.techfore.2023.123153
   Colding J, 2020, SMART CITIES-BASEL, V3, P420, DOI 10.3390/smartcities3020022
   Colic N., 2020, Spatium, V43, P26
   D'Oca S, 2018, BUILDINGS-BASEL, V8, DOI 10.3390/buildings8120174
   Dey M, 2020, SMART CITIES-BASEL, V3, P401, DOI 10.3390/smartcities3020021
   Escolar S, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13102568
   Froufe MM, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10090153
   Guo LH, 2022, APPL ACOUST, V201, DOI 10.1016/j.apacoust.2022.109129
   Hartemink N.A., 2016, Masters Thesis
   Horbliuk S, 2021, BALT J ECON STUD, V7, P46, DOI 10.30525/2256-0742/2021-7-3-46-55
   Jo S, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070973
   Kasznar APP, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11020073
   Khan MS, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122279
   Leorke D., 2019, Public libraries in the Smart City
   Li MZ, 2017, AER ADV ENG RES, V143, P11
   Lynggaard P, 2016, SENSORS-BASEL, V16, DOI 10.3390/s16111840
   Mohamed A, 2020, CITY ENVIRON INTERAC, V8, DOI 10.1016/j.cacint.2020.100050
   Mou JH, 2023, IEEE T INTELL TRANSP, V24, P15527, DOI 10.1109/TITS.2022.3183215
   Noori N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104030
   Pan JY, 2023, SOC SCI MED, V338, DOI 10.1016/j.socscimed.2023.116296
   Park S, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13123018
   Preston S, 2020, ENERGIES, V13, DOI 10.3390/en13246615
   Qiao GH, 2024, LEISURE STUD, V43, P608, DOI 10.1080/02614367.2023.2249259
   Quijano A, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12020233
   Ribeiro P, 2021, APPL SYST INNOV, V4, DOI 10.3390/asi4030061
   Roccotelli M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12020631
   Ruggeri AG, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13122994
   Sepasgozar SME, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11040151
   Serrano W, 2018, SMART CITIES-BASEL, V1, P134, DOI 10.3390/smartcities1010008
   Shafiullah M, 2023, SMART CITIES-BASEL, V6, P72, DOI 10.3390/smartcities6010005
   Shang KL, 2023, SAGE OPEN, V13, DOI 10.1177/21582440231208851
   Shin H, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13112754
   Shirowzhan S, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9040240
   Song J, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13112683
   Stübinger J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208460
   Svatos-Raznjevic H, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12040404
   To WM, 2018, SMART CITIES-BASEL, V1, P163, DOI 10.3390/smartcities1010010
   Ullah F, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12101516
   Uspenskaia D, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11020078
   Vardopoulos I, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15054313
   Vizzarri C, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105709
   Wang JL, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109926
   Waqar A, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13030775
   Xia HS, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.104009
   Yang C, 2020, TELEMAT INFORM, V55, DOI 10.1016/j.tele.2020.101438
   Yang HQ, 2024, COMPLEX INTELL SYST, V10, P23, DOI 10.1007/s40747-023-01099-z
   Yang HQ, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14020303
   Yue AB, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12081182
   Zhao RQ, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104980
   Zhu XG, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811367
   Zou W, 2022, IEEE INTEL TRANSP SY, V14, P198, DOI 10.1109/MITS.2020.2970185
NR 60
TC 6
Z9 6
U1 15
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD MAR
PY 2024
VL 14
IS 3
AR 583
DI 10.3390/buildings14030583
PG 31
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA MD4E6
UT WOS:001191667600001
OA gold
DA 2025-04-22
ER

PT J
AU Cao, C
   Zhen, F
   Qi, XX
   Dong, YM
   Huang, XJ
AF Cao, Chen
   Zhen, Feng
   Qi, Xinxian
   Dong, Youming
   Huang, Xianjin
TI Quantifying the effects of built environment on travel behavior in three
   Chinese cities during COVID-19
SO CITIES
LA English
DT Article
DE COVID-19; Individual travel behavior; Built environment;
   Heterogeneities; Machine learning; Word embedding
ID BOOSTING DECISION TREES; IMPACT; SATISFACTION; WORD2VEC
AB The COVID-19 pandemic has directly impacted human travel behavior. Studies have revealed the relationship between the built environment and infection risk. The impact of the built environment on the individual travel behavior of confirmed COVID-19 cases and the differences in impact across different cities require further investigation. To fill this gap, using the reported individual-level activity data of confirmed cases in three Chinese cities, this study applies the gradient boosting decision tree method to quantify and compare the relative importance and nonlinear effects of built environment characteristics and sociodemographic characteristics on travel frequency and travel purpose. The results show that age is the most important predictor, and it has an inverted U-shaped relationship with travel frequency. However, the impact of age on travel purpose varies depending on the city. Built environment characteristics have a greater impact on travel purpose than on travel frequency with heterogeneities observed across different cities. These findings reveal the heterogeneity in the impacts of the built environment on travel behavior in cities of different sizes and across different regions within cities, and can help city planners and administrators develop flexible and resilient strategies to mitigate the impacts of future sudden infectious disease outbreaks.
C1 [Cao, Chen] Qingdao Univ Technol, Coll Architecture & Urban Planning, Qingdao 266033, Peoples R China.
   [Cao, Chen; Qi, Xinxian; Dong, Youming; Huang, Xianjin] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China.
   [Zhen, Feng] Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China.
C3 Qingdao University of Technology; Nanjing University; Nanjing University
RP Huang, XJ (corresponding author), 163 Xianlin Ave, Nanjing 210023, Jiangsu, Peoples R China.
EM chencao@smail.nju.edu.cn; zhenfeng@nju.edu.cn;
   dg21270008@smail.nju.edu.cn; hxj369@nju.edu.cn
RI zhen, Feng/ABD-6136-2021; Huang, Xianjin/AAZ-6266-2021
FU Innovative Research Group Project of the National Natural Science
   Foundation of China
FX This research was supported by the Innovative Research Group Project of
   the National Natural Science Foundation of China (grant
CR An R, 2022, J TRANSP HEALTH, V24, DOI 10.1016/j.jth.2021.101296
   Andrianou XD, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106246
   Anwari N, 2021, TRANSP RES INTERDISC, V9, DOI 10.1016/j.trip.2021.100334
   Beck MJ, 2020, TRANSPORT POLICY, V96, P76, DOI 10.1016/j.tranpol.2020.07.001
   Bendibao of Shijiazhuang, 2021, Express News
   Böcker L, 2017, TRANSPORTATION, V44, P831, DOI 10.1007/s11116-016-9680-z
   Chang S, 2021, NATURE, V589, P82, DOI 10.1038/s41586-020-2923-3
   Chen C, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103601
   Choi KH, 2022, CAN STUD POPUL, V49, P149, DOI 10.1007/s42650-022-00070-6
   de Haas M, 2020, TRANSP RES INTERDISC, V6, DOI 10.1016/j.trip.2020.100150
   Ding C, 2019, J TRANSP GEOGR, V77, P70, DOI 10.1016/j.jtrangeo.2019.04.011
   Ding C, 2018, TRANSPORT RES A-POL, V118, P104, DOI 10.1016/j.tra.2018.08.041
   Ding C, 2018, TRANSPORT RES A-POL, V110, P107, DOI 10.1016/j.tra.2018.02.009
   Dong W, 2019, LANDSCAPE URBAN PLAN, V185, P246, DOI 10.1016/j.landurbplan.2019.02.012
   Fatmi MR, 2020, J URBAN MANAG, V9, P270, DOI 10.1016/j.jum.2020.08.002
   Frank LD, 2021, SUSTAIN CITIES SOC, V73, DOI 10.1016/j.scs.2021.103089
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Gan ZX, 2020, TRANSPORT RES D-TR E, V82, DOI 10.1016/j.trd.2020.102332
   Giatsoglou M, 2017, EXPERT SYST APPL, V69, P214, DOI 10.1016/j.eswa.2016.10.043
   Hamidi S, 2021, LANDSCAPE URBAN PLAN, V205, DOI 10.1016/j.landurbplan.2020.103952
   Hamidi S, 2020, J AM PLANN ASSOC, V86, P495, DOI 10.1080/01944363.2020.1777891
   Hao F., 2020, KDD 20 P 26 ACM SIGK
   Hu M, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102580
   Huang JW, 2021, HEALTH PLACE, V72, DOI 10.1016/j.healthplace.2021.102694
   Huang JW, 2022, ANN AM ASSOC GEOGR, V112, P968, DOI 10.1080/24694452.2021.1943301
   Huang JW, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9110624
   Huang X, 2021, GEO-SPAT INF SCI, V24, P363, DOI 10.1080/10095020.2021.1894905
   Kan ZH, 2021, SCI TOTAL ENVIRON, V772, DOI 10.1016/j.scitotenv.2021.145379
   Khatua A, 2019, INFORM PROCESS MANAG, V56, P247, DOI 10.1016/j.ipm.2018.10.010
   Kraemer MUG, 2020, SCIENCE, V368, P493, DOI 10.1126/science.abb4218
   Kwok CYT, 2021, SCI TOTAL ENVIRON, V764, DOI 10.1016/j.scitotenv.2020.144455
   Lai KY, 2020, CURR OPIN ENV SUST, V46, P27, DOI 10.1016/j.cosust.2020.08.008
   Li B, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102685
   Li J, 2022, IEEE T KNOWL DATA EN, V34, P50, DOI 10.1109/TKDE.2020.2981314
   Li SJ, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102752
   Liu C, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103144
   Liu MY, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108265
   Liu YX, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104314
   López-Gay A, 2022, J EPIDEMIOL COMMUN H, V76, P1, DOI 10.1136/jech-2020-216325
   Luan SL, 2021, TRANSPORT POLICY, V106, P271, DOI 10.1016/j.tranpol.2021.04.011
   Ma S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-91849-1
   Ma XL, 2017, IEEE T INTELL TRANSP, V18, P2303, DOI 10.1109/TITS.2016.2635719
   Manochandar S, 2020, COMPUT IND ENG, V141, DOI 10.1016/j.cie.2020.106290
   Mayo FL, 2021, TRANSP RES INTERDISC, V12, DOI 10.1016/j.trip.2021.100461
   Mikolov T, 2013, Arxiv, DOI arXiv:1301.3781
   Mikolov Tomas, 2013, PREPRINT, DOI DOI 10.48550/ARXIV.1310.4546
   Mouratidis K, 2022, CITIES, V121, DOI 10.1016/j.cities.2021.103491
   Nanjing Municipal Health Commission, 2021, Notice announcement
   Parady G, 2020, TRANSP RES INTERDISC, V7, DOI 10.1016/j.trip.2020.100181
   Park S, 2017, TELEMAT INFORM, V34, P1398, DOI 10.1016/j.tele.2017.06.003
   Paul T, 2022, TRANSP SAFETY ENV, V4, DOI 10.1093/tse/tdac013
   Pilkington H, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-12203-8
   ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
   Shepovalov M, 2020, INTEGRATION, V70, P1, DOI 10.1016/j.vlsi.2019.09.007
   Sung H, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104344
   Tao T, 2020, J TRANSP GEOGR, V82, DOI 10.1016/j.jtrangeo.2019.102560
   Torregrossa F, 2021, INT J DATA SCI ANAL, V11, P85, DOI 10.1007/s41060-021-00242-8
   Tribby CP, 2021, PROF GEOGR, V73, P365, DOI 10.1080/00330124.2021.1895851
   Wang KL, 2021, CITIES, V114, DOI 10.1016/j.cities.2021.103204
   Wang L, 2023, HEALTH PLACE, V84, DOI 10.1016/j.healthplace.2023.103130
   WHO, 2020, WHO director-General s opening remarks at the media briefing on COVID-19
   World Health Organization, 2023, WHO coronavirus (COVID19) dashboard
   Wu XY, 2020, TRAVEL BEHAV SOC, V19, P82, DOI 10.1016/j.tbs.2019.12.006
   Yang JW, 2021, TRANSPORT RES A-POL, V144, P74, DOI 10.1016/j.tra.2020.11.014
   Yang LC, 2021, ANN GIS, V27, P273, DOI 10.1080/19475683.2021.1906746
   Yang PY, 2010, CURR BIOINFORM, V5, P296, DOI 10.2174/157489310794072508
   Yangzhou Municipal Health Commission, 2021, Express News
   Yao Y, 2017, INT J GEOGR INF SCI, V31, P825, DOI 10.1080/13658816.2016.1244608
   Yip TL, 2021, BUILD ENVIRON, V188, DOI 10.1016/j.buildenv.2020.107471
   You HY, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17103417
   Zhai W, 2022, APPL GEOGR, V147, DOI 10.1016/j.apgeog.2022.102768
   Zhang DY, 2021, APPL INTELL, V51, P6136, DOI 10.1007/s10489-021-02189-6
   Zhang N, 2024, TRAVEL BEHAV SOC, V34, DOI 10.1016/j.tbs.2023.100677
   Zhang YR, 2015, TRANSPORT RES C-EMER, V58, P308, DOI 10.1016/j.trc.2015.02.019
   Zhou SL, 2024, J TRANSP HEALTH, V36, DOI 10.1016/j.jth.2024.101788
   Zhu YJ, 2017, BMC MED INFORM DECIS, V17, DOI 10.1186/s12911-017-0498-1
NR 76
TC 0
Z9 0
U1 12
U2 12
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD MAR
PY 2025
VL 158
AR 105722
DI 10.1016/j.cities.2025.105722
EA JAN 2025
PG 16
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA T2U5B
UT WOS:001403621900001
DA 2025-04-22
ER

PT J
AU Helbing, D
   Mahajan, S
   Carpentras, D
   Menendez, M
   Pournaras, E
   Thurner, S
   Verma, T
   Arcaute, E
   Batty, M
   Bettencourt, LMA
AF Helbing, Dirk
   Mahajan, Sachit
   Carpentras, Dino
   Menendez, Monica
   Pournaras, Evangelos
   Thurner, Stefan
   Verma, Trivik
   Arcaute, Elsa
   Batty, Michael
   Bettencourt, Luis M. A.
TI Co-creating the future: participatory cities and digital governance
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE participatory cities; socio-technical system; digital governance
ID SOCIAL-SCIENCE
AB The digital revolution, fuelled by advancements in social media, Big Data, the Internet of Things and Artificial Intelligence, is reshaping our urban landscapes into 'participatory cities'. These cities leverage digital technologies to foster citizen engagement, collaborative decision-making and community-driven urban development, thus unlocking new potentials while confronting emerging threats. Such technologies are empowering individuals and organizations in ways that were unimaginable just a few years ago. They do, however, introduce new risks and vulnerabilities that must be carefully managed. Hence, socio-technical innovation is urgently needed. In this connection, open-source technologies, participatory approaches and new forms of governance are becoming more popular and relevant. This theme issue looks into the tangible impacts of these technological advancements, with a focus on participatory cities. It aims to explain how digital tools are used in cities to tackle urban challenges, improve governance and promote sustainability. Through a collection of in-depth analyses, case studies and real-world examples, this issue seeks to offer a comprehensive understanding of the digital governance frameworks underpinning participatory cities. By offering a platform for multidisciplinary discourse, this theme issue endeavours to contribute to the broader narrative of shaping a more resilient, sustainable and democratic urban future in the digital age. This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.
C1 [Helbing, Dirk; Mahajan, Sachit; Carpentras, Dino] Swiss Fed Inst Technol, Computat Social Sci, Zurich, Switzerland.
   [Helbing, Dirk; Thurner, Stefan] Complex Sci Hub Vienna, Vienna, Austria.
   [Menendez, Monica] NYU Abu Dhabi, Abu Dhabi, U Arab Emirates.
   [Pournaras, Evangelos] Univ Leeds, Sch Comp, Leeds, England.
   [Verma, Trivik] Univ Bristol, Sch Policy Studies, Bristol, England.
   [Verma, Trivik] Univ Bristol, Sch Policy Studies, Bristol, England.
   [Arcaute, Elsa; Batty, Michael] UCL, Ctr Adv Spatial Anal, London, England.
   [Bettencourt, Luis M. A.] Univ Chicago, Chicago, IL USA.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich; New York
   University; New York University Abu Dhabi; University of Leeds;
   University of Bristol; University of Bristol; University of London;
   University College London; University of Chicago
RP Helbing, D (corresponding author), Swiss Fed Inst Technol, Computat Social Sci, Zurich, Switzerland.; Helbing, D (corresponding author), Complex Sci Hub Vienna, Vienna, Austria.
EM dirk.helbing@gess.ethz.ch; sachit.mahajan@gess.ethz.ch;
   dino.carpentras@gess.ethz.ch; monica.menendez@nyu.edu;
   e.pournaras@leeds.ac.uk; thurner@csh.ac.at; t.verma@tudelft.nl;
   e.arcaute@ucl.ac.uk; m.batty@ucl.ac.uk; bettencourt@uchicago.edu
RI Bettencourt, Luis/R-9861-2019; Batty, Michael/D-4422-2011
OI Batty, Michael/0000-0002-9931-1305; Mahajan, Sachit/0000-0001-9558-8895
FU Project 'CoCi: Co-Evolving City Life' - European Research Council (ERC)
   under the European Union's Horizon 2020 research and innovation
   programme [833168]
FX We would like to acknowledge support through the project 'CoCi:
   Co-Evolving City Life', which has received funding from the European
   Research Council (ERC) under the European Union's Horizon 2020 research
   and innovation programme under grant agreement No. 833168.
CR [Anonymous], 2023, Quality of Living City Ranking 2023
   Arch daily, 2024, The most liveable cities in the world in 2024: discover top quality of life locations globally
   Asikis T, 2021, ROY SOC OPEN SCI, V8, DOI 10.1098/rsos.201418
   Banerjee I, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86635-y
   Batty M, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0108
   Caldarelli G, 2023, NAT COMPUT SCI, V3, P374, DOI 10.1038/s43588-023-00431-4
   Carpentras D, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0090
   Chakrabarti B.K., 2006, Econophysics and sociophysics: trends and perspectives, DOI [10.1002/9783527610006, DOI 10.1002/9783527610006]
   Conte R, 2012, EUR PHYS J-SPEC TOP, V214, P325, DOI 10.1140/epjst/e2012-01697-8
   Edge.org, 2016, Society is not a machine, optimization not the right paradigm
   EU Agenda, 2017, How many smart cities are there in Europe?
   Gonçalves JE, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0111
   Gudiño JF, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0100
   Haken H., 1977, Physics Bulletin, V28, P412
   Haken H., 2012, Advanced synergetics: Instability hierarchies of self-organizing systems and devices
   Helbing D, 2012, EUR PHYS J-SPEC TOP, V214, P11, DOI 10.1140/epjst/e2012-01686-y
   Helbing D., 2015, AUTOMATION SOC IS NE
   Helbing D., 2021, Next civilization Digital democracy and socio-ccological financehow to avoid dystopia and upgrade society by digital means, V2nd, DOI [10.1007/978-3-030-62330-2, DOI 10.1007/978-3-030-62330-2]
   Helbing D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011162
   Helbing D, 2015, NATURE, V527, P33, DOI 10.1038/527033a
   Hill D, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0097
   Hnggli R., Phil. Trans. R. Soc. A, DOI 10.108/rsta.2024.0098
   Kondor D, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0109
   Lazer D, 2009, SCIENCE, V323, P721, DOI 10.1126/science.1167742
   Lazer DMJ, 2020, SCIENCE, V369, P1060, DOI 10.1126/science.aaz8170
   Lieberthal EB, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0095
   Magistratsdirektion der Stadt Wien GOS, 2015, Digitale Agenda Wien: Kurzfassung
   Mahajan S, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0093
   Mahajan S, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103942
   Maharjan S, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0096
   Maheshwari T, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0110
   Maillart T, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0103
   MIT Technology Review, 2022, Toronto wants to kill the smart city forever
   Morra D, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0106
   Pournaras E, 2020, J PARALLEL DISTR COM, V145, P160, DOI 10.1016/j.jpdc.2020.06.015
   Pournaras E, 2018, ACM T AUTON ADAP SYS, V13, DOI 10.1145/3277668
   Saavedra M, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0102
   Sintomer Y, 2008, INT J URBAN REGIONAL, V32, P164, DOI 10.1111/j.1468-2427.2008.00777.x
   Stockinger E, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0092
   Wampler B., 2000, A Guide To Participatory Budgeting. Conference On Participatory Budgeting
   Wilton Park, Disrupting cities through technology
   Zenz A, 2024, PHILOS T R SOC A, V382, DOI 10.1098/rsta.2024.0107
NR 42
TC 0
Z9 0
U1 25
U2 25
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD NOV 13
PY 2024
VL 382
IS 2285
AR 20240113
DI 10.1098/rsta.2024.0113
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA M0E1G
UT WOS:001354351500004
PM 39533906
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Marques, ECL
AF Leao Marques, Eduardo Cesar
TI Continuity and Change of Urban Policies in Sao Paulo: Resilience,
   Latency, and Reanimation
SO URBAN AFFAIRS REVIEW
LA English
DT Article
DE urban politics; urban policies; policy change; Sao Paulo
ID POLITICAL-ECONOMY; REDISTRIBUTION; REGIMES
AB It is usually considered that urban policy change happens gradually or abruptly, provoked by coalition shifts, political pressure, or by agenda changes in public policies. However, a broad set of urban policies in Sao Paulo, Brazil shows the relevance of the third kind of oscillating trajectory not yet accounted for by the literature. Departing from compared urban policies in Sao Paulo, this article shows incremental progressive trends due jointly to political competition (pushed by progressive governments) and policy production itself. While some programs entered the agenda to stay, others swung between implementation, latency, and reanimation. To investigate these processes, we compare four programs-(a) in situ slum upgrading and (b) bus integration (gradually imposing themselves), (c) cooperative housing construction, and (d) bus lanes/corridors (oscillating between latency and reanimation). The results challenge explanations of urban policy change, contributing to closer dialogues between urban studies and political science.
C1 [Leao Marques, Eduardo Cesar] Univ Sao Paulo, Ctr Metropolitan Studies, Sao Paulo, SP, Brazil.
   [Leao Marques, Eduardo Cesar] Univ Sao Paulo, Dept Polit Sci, Sao Paulo, SP, Brazil.
C3 Universidade de Sao Paulo; Universidade de Sao Paulo
RP Marques, ECL (corresponding author), Univ Sao Paulo, Ctr Metropolitan Studies, Sao Paulo, SP, Brazil.; Marques, ECL (corresponding author), Univ Sao Paulo, Dept Polit Sci, Sao Paulo, SP, Brazil.
EM ecmarq@gmail.com
RI marques, eduardo/I-1198-2013
FU Sao Paulo Research Foundation (FAPESP) through the CEPID Program
   [2013/07616-7]
FX This article was supported by grants of the Sao Paulo Research
   Foundation (FAPESP) through the CEPID Program (2013/07616-7) and for a
   period as visiting scholar at the University of Berkeley.
CR Abers RN, 2021, CRIT POLICY STUD, V15, P330, DOI 10.1080/19460171.2020.1860782
   Almeida Gabriela., 2019, THESIS UFABC
   Alonso A, 2017, B LAT AM RES, V36, P144, DOI 10.1111/blar.12470
   Amaral Angela., 2002, HABITACAO CIDADE SAO
   Arretche Marta., 2019, PATHS INEQUALITY BRA, P382, DOI DOI 10.1057/9780230608795
   Baumgartner F.D., 2009, Agendas and instability in American politics, V2nd
   Beland D., 2019, How Ideas and Institutions Shape the Politics of Public Policy, Elements in Public Policy
   Bonduki N. G., 2018, A luta pela reforma urbana no Brasil: do seminario de habitacao e reforma urbana ao plano diretor de Sao Paulo
   Bonduki Nabil., 2000, HABITAR SAO PAULO RE, P328
   Bueno Laura, 2001, REV POS FAUUSP, V9, P68, DOI 10.11606/issn.2317-2762.v0i9p68-86
   Campbell Tim., 1997, WORLD BANK DISCUSSIO
   Campos Marcos., 2021, POLITICS INCREMENTAL, P136
   COHEN MD, 1972, ADMIN SCI QUART, V17, P1, DOI 10.2307/2392088
   Couto Claudio., 1994, LUA NOVA, V33, P145, DOI [10.1590/s0102-64451994000200011, DOI 10.1590/S0102-64451994000200011]
   DeLeon Richard Edward, 1992, Left Coast City: Progressive Politics in San Francisco, 1975-1991
   Duren Nora., 2020, IDB MONOGRAPH, V678
   Einstein KL, 2018, URBAN AFF REV, V54, P74, DOI 10.1177/1078087416674829
   Falleti TuliaG., 2010, EXPLAINING I CHANGE, P38
   Falleti TuliaG., 2015, Advances in Comparative-Historical Analysis, P211, DOI DOI 10.1017/CBO9781316273104.009
   Figueiredo ArgelinaCheibub., 1999, EXECUTIVO LEGISLATIV
   Goldfrank B, 2011, DEEPENING LOCAL DEMOCRACY IN LATIN AMERICA: PARTICIPATION, DECENTRALIZATION, AND THE LEFT, P1
   HAAS PM, 1992, INT ORGAN, V46, P1, DOI 10.1017/S0020818300001442
   Haddad Fernando., 2017, REV PIAU         JUN, V129
   Hajnal ZL, 2010, AM POLIT RES, V38, P1130, DOI 10.1177/1532673X10362870
   HALL PA, 1993, COMP POLIT, V25, P275, DOI 10.2307/422246
   Harding A, 1997, EUR URBAN REG STUD, V4, P291, DOI 10.1177/096977649700400401
   Holland AC, 2017, PERSPECT POLIT, V15, P988, DOI 10.1017/S1537592717002122
   Holston A, 2009, CITY SOC, V21, P245, DOI 10.1111/j.1548-744X.2009.01024.x
   Isunza E., 2018, Controles democraticos no electorales y regimenes de rendicion de cuentas en el Sur Global
   Joy M, 2021, URBAN AFF REV, V57, P1372, DOI 10.1177/1078087420984241
   Judd DR, 2005, URBAN AFF REV, V41, P119, DOI 10.1177/1078087405280197
   Kingdom J., 1984, AGENDAS ALTERNATIVES
   Kowarick L., 1979, A Espoliacao urbana
   Lascoumes P., 2005, Gouverner par les instruments
   Levitsky S., 2011, RESURGENCE LATIN AM
   LINDBLOM CE, 1979, PUBLIC ADMIN REV, V39, P517, DOI 10.2307/976178
   Lopes Joao., 2011, THESIS U SAO PAULO
   Mahoney J., 2010, Explaining Institutional Change: Ambiguity, Agency, and Power
   Marques, 2011, SAO PAULO NOVOS PERC, P207
   Marques E, 2017, HABITAT INT, V69, P18, DOI 10.1016/j.habitatint.2017.08.004
   Marques Eduardo., 2021, POLITICS INCREMENTAL
   Marques Eduardo., 2019, PATHS INEQUALITY BRA, P163, DOI DOI 10.1177/1532673X10362870
   Marques Eduardo., 2021, POLITICS INCREMENTAL, P195
   Marques ECL, 2023, J URBAN AFF, V45, P815, DOI 10.1080/07352166.2021.1881405
   Metro, 2019, PESQ OR DEST 2019
   Oliveira Rafael., 2018, THESIS UNIFESP OSASC
   Pierson P, 2004, POLITICS IN TIME: HISTORY, INSTITUTIONS, AND SOCIAL ANALYSIS, P1
   Pollitt Christopher., 2008, TIME POLICY MANAGEME
   Ragin C. C., 1987, The comparative method: Moving beyond qualitative and quantitative strategies
   Requena C., 2021, POLITICS INCREMENTAL
   Rich JAJ, 2013, LAT AM POLIT SOC, V55, P1, DOI 10.1111/j.1548-2456.2013.00191.x
   Sabatier PaulA., 1993, POLICY CHANGE LEARNI
   Samuels DavidJ Cesar Zucco., 2018, PARTISANS ANTIPARTIS
   Santoro Paula., 2009, MANANCIAIS DIAGNOSTI
   Sehab, 2000, REL GEST 1987 2000
   Sehab, 2016, BAL GOV 2013 2016
   Sehab, 2003, PLAN MUN HAB
   Sellers JM, 2020, MULTILEVEL DEMOCRACY, P1, DOI 10.1017/9781108672337
   Shipan CR, 2012, PUBLIC ADMIN REV, V72, P788, DOI 10.1111/j.1540-6210.2012.02610.x
   Stone CN, 2001, INT J URBAN REGIONAL, V25, P20, DOI 10.1111/1468-2427.00295
   STONE CN, 1993, J URBAN AFF, V15, P1, DOI 10.1111/j.1467-9906.1993.tb00300.x
   Trounstine J, 2009, PERSPECT POLIT, V7, P611, DOI 10.1017/S1537592709990892
   Vasconcelos Eduardo., 1999, CIRCULAR PRECISO VIV
NR 63
TC 7
Z9 7
U1 1
U2 5
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 1078-0874
EI 1552-8332
J9 URBAN AFF REV
JI Urban Aff. Rev.
PD MAR
PY 2023
VL 59
IS 2
BP 337
EP 371
AR 10780874211043845
DI 10.1177/10780874211043845
EA NOV 2021
PG 35
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 8M3RL
UT WOS:000726102700001
DA 2025-04-22
ER

PT J
AU Lin, SJ
   Zhang, HF
   Lam, JFI
AF Lin, Shuaijun
   Zhang, Hongfeng
   Lam, Johnny F. I.
TI Urban soil ecological risk assessment based on "climate change-
   resilience"
SO ENVIRONMENTAL MONITORING AND ASSESSMENT
LA English
DT Article
DE Climate change; Urban soil ecosystem; Ecological risk assessment; Urban
   resilience; MCDM
ID VIKOR METHOD
AB Under the dual pressures of global climate change and rapid urbanization, urban soil ecosystems face increasingly complex risks and challenges. Existing urban soil ecological risk assessment methods are primarily limited to single-dimensional analysis or linear assessment models, making it difficult to reveal the complex interaction mechanisms among soil, climate, and human activities. This study pioneers the integration of social-ecological system theory with multi-criteria decision-making methods to innovatively construct a dynamic coupling assessment framework. This framework employs the AHP-DEMATEL method to identify causal relationships and feedback mechanisms between indicators, while utilizing the VIKOR method for comprehensive quantitative risk assessment. Through an empirical analysis of 11 prefecture-level cities in Zhejiang Province, this study reveals that: (1) climate change-related indicators demonstrate dominant weights, with the impact of extreme weather (C3) reaching a comprehensive weight of 0.1082, significantly higher than other indicators; (2) soil biodiversity (C8) exhibits the highest centrality (10.112), forming a key feedback node in the assessment system, highlighting the crucial role of biological factors in maintaining soil system stability; (3) green infrastructure coverage (C16) shows the highest cause degree (2.261), generating complex cascade effects through its influence on soil temperature, moisture, and biodiversity; (4) urban risk levels display significant spatial heterogeneity, with Lishui performing optimally (group benefit value S = 0.069) and Zhoushan performing poorest (S = 1.000), quantifying the impact of economic development patterns and geographical location on soil ecological risk. The dynamic coupling assessment framework and quantitative indicator system established in this study provide a new paradigm for understanding the complexity of urban soil ecosystems.
C1 [Lin, Shuaijun; Zhang, Hongfeng; Lam, Johnny F. I.] Macao Polytech Univ, Fac Humanities & Social Sci, Macau, Peoples R China.
   [Lin, Shuaijun] Zhejiang Coll Secur Technol, Zhejiang, Peoples R China.
C3 Macao Polytechnic University
RP Zhang, HF (corresponding author), Macao Polytech Univ, Fac Humanities & Social Sci, Macau, Peoples R China.
EM hfengzhang@mpu.edu.mo
RI ZHANG, HONGFENG/ABG-3102-2021
FU The 2023 Wenzhou Municipal Bureau of Science and Technology Fundamental
   Scientific Research Project [S20230162023]; The 2023 Wenzhou Science and
   Technology Association Service Science and Technology Innovation
   Research Project [jczc0257]
FX 2023 Wenzhou Municipal Bureau of Science and Technology Fundamental
   Scientific Research Project (S20230162023).2023 Wenzhou Science and
   Technology Association Service Science and Technology Innovation
   Research Project (jczc0257).
CR Abdul D, 2022, RENEW ENERG, V184, P1018, DOI 10.1016/j.renene.2021.10.082
   Badura T, 2021, LANDSCAPE URBAN PLAN, V215, DOI 10.1016/j.landurbplan.2021.104215
   Berkes F, 1998, ECOSYSTEMS, V1, P409, DOI 10.1007/s100219900034
   Blokus-Dziula A, 2025, SUSTAINABILITY-BASEL, V17, DOI 10.3390/su17010172
   Calzolari C, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105037
   Cui J., 2024, Advances in Engineering Technology Research, V11, P335, DOI [10.56028/aetr.11.1.335.2024, DOI 10.56028/AETR.11.1.335.2024]
   de Manuel BF, 2021, BASIC APPL ECOL, V53, P12, DOI 10.1016/j.baae.2021.02.012
   Guerra CA, 2021, SCIENCE, V371, P239, DOI 10.1126/science.abd7926
   Guo R, 2023, ENVIRON DEV SUSTAIN, V25, P12273, DOI 10.1007/s10668-022-02565-3
   Hamidah M, 2022, GLOB ECOL CONSERV, V34, DOI 10.1016/j.gecco.2022.e02033
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Johnson D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168685
   Langemeyer J, 2021, LANDSCAPE URBAN PLAN, V210, DOI 10.1016/j.landurbplan.2021.104055
   Lehmann J, 2020, NAT REV EARTH ENV, V1, P544, DOI 10.1038/s43017-020-0080-8
   Li SN, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101908
   Li WJ, 2021, J CLEAN PROD, V294, DOI 10.1016/j.jclepro.2021.126341
   Lin CY, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20021022
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Malhi Y, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0104
   Masson V, 2020, ANNU REV ENV RESOUR, V45, P411, DOI 10.1146/annurev-environ-012320-083623
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Momena AF, 2024, LOGISTICS-BASEL, V8, DOI 10.3390/logistics8030087
   Mondal Sudeshna., 2021, Climate Change and the Microbiome, Sustenance of the Ecosphere, P551, DOI [DOI 10.1007/978-3-030-76863-8_28, 10.1007/978-3-030-76863-828, DOI 10.1007/978-3-030-76863-82]
   Mononen L, 2016, ECOL INDIC, V61, P27, DOI 10.1016/j.ecolind.2015.03.041
   Opricovic S, 2007, EUR J OPER RES, V178, P514, DOI 10.1016/j.ejor.2006.01.020
   Ostrom E., 2007, SUSTAINABLE SOCIAL E
   Rahim AA, 2021, P I MECH ENG L-J MAT, V235, P1532, DOI 10.1177/1464420721994269
   Salomon MJJ, 2022, J CLEAN PROD, V341, DOI 10.1016/j.jclepro.2022.130808
   Shao QG, 2023, CLEAN TECHNOL ENVIR, V25, P3027, DOI 10.1007/s10098-023-02547-7
   Shen W, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107071
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Sun YM, 2023, ENVIRON GEOCHEM HLTH, V45, P2691, DOI 10.1007/s10653-022-01387-6
   Wei JZ, 2008, I C WIREL COMM NETW, P11925
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhang JM, 2024, CITIES, V153, DOI 10.1016/j.cities.2024.105294
   Zhang YX, 2021, WATER-SUI, V13, DOI 10.3390/w13010004
   Zhao KL, 2020, GEODERMA, V360, DOI 10.1016/j.geoderma.2019.114011
NR 37
TC 0
Z9 0
U1 10
U2 10
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0167-6369
EI 1573-2959
J9 ENVIRON MONIT ASSESS
JI Environ. Monit. Assess.
PD JAN 31
PY 2025
VL 197
IS 2
AR 218
DI 10.1007/s10661-025-13670-x
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA U2X6S
UT WOS:001410488700006
PM 39890658
DA 2025-04-22
ER

PT J
AU Phillips, C
   Atchison, J
AF Phillips, Catherine
   Atchison, Jennifer
TI Seeing the trees for the (urban) forest: more-than-human geographies and
   urban greening
SO AUSTRALIAN GEOGRAPHER
LA English
DT Article
DE Greening; urban trees; more-than-human geographies; human-plant
   relations; Australia
ID ECOSYSTEM SERVICES; CONSERVATION; RESILIENCE; AUSTRALIA; RUPTURE;
   CLIMATE
AB Urban spaces have long been places to think through human relationships with nature. The recent shift in thinking from urban green space as outcome to urban greening as a process provides an opportunity to consider more explicitly how we engage with more-than-human worlds in urban spaces, in more differentiated ways, and for what ends. In this paper we contribute to growing interest in improved urban sustainability and well-being by bringing human geography perspectives on more-than-human worlds into conversation with the literature on urban greening. Drawing on key examples oriented around urban trees, we consider two main themes: sensibilities and belonging. We argue for an understanding of urban places as collective achievements that not only involve knowing and living with diverse humans and non-humans but also involve the re/making of sensibilities and belongings. Through this paper, we aim to open dialogue about how more-than-human geographies might help us to differently understand urban trees, contemporary urban greening, and people-plant relations.
C1 [Phillips, Catherine] Univ Melbourne, Sch Geog, 221 Bouverie St, Carlton, Vic 3053, Australia.
   [Atchison, Jennifer] Univ Wollongong, Fac Social Sci, Sch Geog & Sustainable Communities, Wollongong, NSW, Australia.
C3 University of Melbourne; University of Wollongong
RP Phillips, C (corresponding author), Univ Melbourne, Sch Geog, 221 Bouverie St, Carlton, Vic 3053, Australia.
EM cphillips2@unimelb.edu.au
CR [Anonymous], 2014, WORLD URB PROSP
   [Anonymous], 2012, URBAN FOREST STRATEG
   [Anonymous], 2014, ABC RADIO MELBO 1006
   [Anonymous], 2011, WA W ADVOCATE   0408
   [Anonymous], 2013, WA W ADVOCATE   1219
   [Anonymous], PLANNING THEORY
   Archambault JS, 2016, CULT ANTHROPOL, V31, P244, DOI 10.14506/ca31.2.05
   Aspect Studios and Tree Logic, 2011, URB FOR DIV GUID
   Atchison J, 2017, ROUTL STUD HUM GEOGR, P178
   Atchison J, 2013, ENVIRON PLANN D, V31, P951, DOI 10.1068/d17712
   Bakker K, 2010, PROG HUM GEOG, V34, P715, DOI 10.1177/0309132510376849
   Barber PA, 2013, URBAN FOR URBAN GREE, V12, P569, DOI 10.1016/j.ufug.2013.07.009
   Braun B, 2005, PROG HUM GEOG, V29, P635, DOI 10.1191/0309132505ph574pr
   Brown S, 2015, ABC RADIO MELBO 0722
   Bun M., 2015, The 202020 Vision Plan
   Chaudhary S, 2015, ENVIRON SCI POLICY, V54, P25, DOI 10.1016/j.envsci.2015.04.025
   Cronon W, 1996, ENVIRON HIST, V1, P7, DOI 10.2307/3985059
   Dempsey J, 2012, PROG HUM GEOG, V36, P758, DOI 10.1177/0309132512437076
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Díaz S, 2015, CURR OPIN ENV SUST, V14, P1, DOI 10.1016/j.cosust.2014.11.002
   Doshi S, 2017, AREA, V49, P125, DOI 10.1111/area.12293
   Dunn M., 2015, NEWS            0717
   FAO, 2016, Guidelines on Urban and Peri-Urban Forestry
   Frawley J., 2010, AUST HUMANIT REV, V49, P119
   Gagliano M., 2017, Communicative and Integrative Biology, V10, pe1288333, DOI 10.1080/19420889.2017.1288333
   Gandy Matthew., 2003, Concrete and Clay: Reworking Nature in New York City
   Gibson C, 2018, AUST GEOGR, V49, P61, DOI 10.1080/00049182.2017.1336967
   Gill N, 2015, ENVIRON MANAGE, V56, P738, DOI 10.1007/s00267-015-0525-x
   Haebich A., 2003, Queensland Review, V10, P47, DOI [10.1017/S1321816600003305, DOI 10.1017/S1321816600003305]
   Hall Matthew., 2011, Plants as Persons: A Philosophical Botany
   Haraway D., 2016, STAYING TROUBLE MAKI, DOI 10.1215/9780822373780
   Haraway D. J., 2008, When Species Meet, V3
   Harris CD, 1945, ANN AM ACAD POLIT SS, V242, P7, DOI 10.1177/000271624524200103
   Hayes-Conroy A, 2017, GEOFORUM, V82, P51, DOI 10.1016/j.geoforum.2017.03.017
   Head L, 2006, AUST GEOGR, V37, P87, DOI 10.1080/00049180500511996
   Head L, 2006, T I BRIT GEOGR, V31, P505, DOI 10.1111/j.1475-5661.2006.00228.x
   Head L, 2015, T I BRIT GEOGR, V40, P399, DOI 10.1111/tran.12077
   Head L, 2014, SOC CULT GEOGR, V15, P861, DOI 10.1080/14649365.2014.973900
   Head L, 2009, PROG HUM GEOG, V33, P236, DOI 10.1177/0309132508094075
   Hiemstra JA, 2017, FUTURE CITY, V7, P7, DOI 10.1007/978-3-319-50280-9_2
   Hills M., 2014, DAILY MAIL AUSTR
   Hirsch P., 2006, Journal of Environment & Development, V15, P184, DOI 10.1177/1070496506288221
   Hitchings R, 2003, SOC CULT GEOGR, V4, P99, DOI 10.1080/1464936032000049333
   Jacobs JaneM., 2002, EDGE EMPIRE POSTCOLO
   Jones O, 2015, URBAN FORESTS, TREES, AND GREENSPACE: A POLITICAL ECOLOGY PERSPECTIVE, P111
   Jones Owain., 2002, TREE CULTURES PLACE
   Jones R, 2016, GEOGR RES-AUST, V54, P433, DOI 10.1111/1745-5871.12177
   Karban R., 2015, Plant sensing and communication
   Kirkpatrick JB, 2012, LANDSCAPE URBAN PLAN, V107, P147, DOI 10.1016/j.landurbplan.2012.05.015
   Kirksey SE, 2010, CULT ANTHROPOL, V25, P545, DOI 10.1111/j.1548-1360.2010.01069.x
   Kremer P, 2016, ECOLOGY SOC, V21, P232
   LaFrance A., 2015, ATLANTIC
   Latour B., 2004, POLITICS NATURE
   Lien ME, 2010, J MAT CULT, V15, P233, DOI 10.1177/1359183510364078
   Loftus A, 2012, EVERYDAY ENVIRONMENTALISM: CREATING AN URBAN POLITICAL ECOLOGY, P1
   Longhurst R, 2009, T I BRIT GEOGR, V34, P333, DOI 10.1111/j.1475-5661.2009.00349.x
   Lorimer H, 2003, T I BRIT GEOGR, V28, P197, DOI 10.1111/1475-5661.00087
   Lorimer J, 2010, T I BRIT GEOGR, V35, P491, DOI 10.1111/j.1475-5661.2010.00395.x
   Marder Michael., 2013, PLANT THINKING PHILO
   McKiernan S, 2016, CULT GEOGR, V23, P475, DOI 10.1177/1474474015609159
   Moore G., 2015, CONVERSATION
   Morwood M.J., 1987, P PREHIST SOC, V53, P337, DOI DOI 10.1017/S0079497X00006265
   Mullaney J, 2015, LANDSCAPE URBAN PLAN, V134, P157, DOI 10.1016/j.landurbplan.2014.10.013
   Neera Singh Neera Singh, 2017, Ephemera, V17, P751
   Nitschke CR, 2017, LANDSCAPE URBAN PLAN, V167, P275, DOI 10.1016/j.landurbplan.2017.06.012
   Nutsford D, 2013, PUBLIC HEALTH, V127, P1005, DOI 10.1016/j.puhe.2013.08.016
   OEH (NSW Office of Environment and Heritage), 2017, W1003 GROUP BUN PIN
   Pearce LM, 2015, URBAN FOR URBAN GREE, V14, P1, DOI 10.1016/j.ufug.2014.11.003
   Phillips Catherine., 2013, SAVING MORE SEEDS PR
   Plumwood V., 2009, ECOLOGICAL HUMANITIE, V46, P113, DOI DOI 10.22459/AHR.46.2009.10
   Power ER, 2009, CULT GEOGR, V16, P29, DOI 10.1177/1474474008097979
   Pye MG, 2004, CONSERV GENET, V5, P619, DOI 10.1007/s10592-003-1857-2
   Rickards L, 2016, AUST GEOGR, V47, P127, DOI 10.1080/00049182.2016.1154496
   Scott AJ, 2015, INT J URBAN REGIONAL, V39, P1, DOI 10.1111/1468-2427.12134
   Sercombe JK, 2011, ANN ALLERG ASTHMA IM, V107, P493, DOI 10.1016/j.anai.2011.08.011
   Tovey E., 2012, CONVERSATION
   Trewavas A, 2014, PLANT BEHAVIOUR AND INTELLIGENCE, P1, DOI 10.1093/acprof:oso/9780199539543.001.0001
   Troy A, 2012, LANDSCAPE URBAN PLAN, V106, P262, DOI 10.1016/j.landurbplan.2012.03.010
   Verran Helen., 2013, Nature Culture, P23
   Whatmore S., 2002, HYBRID GEOGRAPHIES N
   Whatmore S, 2006, CULT GEOGR, V13, P600, DOI 10.1191/1474474006cgj377oa
   Williams Kathryn, 2002, Journal of Arboriculture, V28, P161
   Wolch J, 2002, PROG HUM GEOG, V26, P721, DOI 10.1191/0309132502ph400oa
   Zupancic T, 2015, IMPACT GREEN SPACES
NR 84
TC 43
Z9 44
U1 3
U2 52
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0004-9182
EI 1465-3311
J9 AUST GEOGR
JI Aust. Geogr.
PD APR 2
PY 2020
VL 51
IS 2
SI SI
BP 155
EP 168
DI 10.1080/00049182.2018.1505285
PG 14
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA MK7QC
UT WOS:000548977800002
DA 2025-04-22
ER

PT J
AU Felisa, G
   Lauriola, I
   Pedrazzoli, P
   Di Federico, V
   Ciriello, V
AF Felisa, Giada
   Lauriola, Ilaria
   Pedrazzoli, Pietro
   Di Federico, Vittorio
   Ciriello, Valentina
TI Sustainability Analysis of Alternative Long-Term Management Strategies
   for Water Supply Systems: A Case Study in Reggio Emilia (Italy)
SO WATER
LA English
DT Article
DE sustainability; metabolic modelling; KPIs; urban water system;
   resilience; water supply network
ID URBAN WATER; DECISION-SUPPORT; RESOURCE SYSTEM; METABOLISM;
   VULNERABILITY; RELIABILITY; PERFORMANCE; INDICATORS; RESILIENCE; IMPACTS
AB Increasing urban water demand and water stress conditions due to population growth, combined with climate change and a non-uniform distribution of water resources in space and time, represent major concerns for water companies. As such, long-term management strategies need to improve the resilience of water supply systems and account for the sustainability of water withdrawals. In this context, metabolic modelling may provide a support to decision-making in the medium-long term, based on sustainability criteria. This approach enables mimicking a water supply network (WSN) based on a set of material and energy fluxes that interact and influence each other. By analyzing these fluxes, a suite of key performance indicators (KPIs) is evaluated in order to identify which kind of interventions may be applied to increase the sustainability of the system. Here, we apply a metabolic model, WaterMet(2), to a WSN in the Reggio Emilia Province (Italy), combined with hydraulic simulations conducted with EPANET. Different alternative strategies are compared, including a reduction of water withdrawals from the main well field due to a possible future decrease in water availability. Based on KPIs, sustainable long-term strategies are evaluated in order to identify the most suitable solution for dynamic sustainable management of the water supply system.
C1 [Felisa, Giada; Lauriola, Ilaria; Di Federico, Vittorio; Ciriello, Valentina] Univ Bologna, Dept Civil Chem Environm & Mat Engn DICAM, Viale Risorgimento 2, I-40136 Bologna, Italy.
   [Pedrazzoli, Pietro] IRETI SpA, Via Nubi di Magellano 30, I-42123 Reggio Emilia, Italy.
C3 University of Bologna
RP Ciriello, V (corresponding author), Univ Bologna, Dept Civil Chem Environm & Mat Engn DICAM, Viale Risorgimento 2, I-40136 Bologna, Italy.
EM giada.felisa2@unibo.it; ilaria.lauriola2@unibo.it;
   pietro.pedrazzoli@ireti.it; vittorio.difederico@unibo.it;
   v.ciriello@unibo.it
RI Di Federico, Vittorio/D-1970-2012; Ciriello, Valentina/L-6369-2013
OI Di Federico, Vittorio/0000-0001-9554-0373; Ciriello,
   Valentina/0000-0002-1670-6740
FU Department of Civil, Chemical, Environmental and Materials Engineering
   (DICAM) of the University of Bologna; IREN Acqua Gas
FX This research was supported by "Definizione e applicazione di criteri di
   sostenibilita nei sistemi idrici urbani gestiti da IREN Acqua Gas a
   supporto delle decisioni strategiche di lungo periodo", a two-year
   research agreement between the Department of Civil, Chemical,
   Environmental and Materials Engineering (DICAM) of the University of
   Bologna, and IREN Acqua Gas.
CR [Anonymous], DEL CONS AMB 45 29 S
   [Anonymous], WATER
   [Anonymous], PREV DEM 2011 2065 D
   [Anonymous], D111 TRUST
   [Anonymous], 2000, Case studies on the city of Vienna and the Swiss lowlands. Local Environment, V5, P311, DOI [DOI 10.1080/13549830050134257, 10.1080/13549830050134257]
   [Anonymous], D331 TRUST
   [Anonymous], 2014, WATERMET2 TRUST, DOI DOI 10.13140/RG.2.1.3417.2965
   [Anonymous], CLIM CHANG 2014 MIT
   [Anonymous], PROCEEDINGS
   [Anonymous], IND RIS IDR ALT PROG
   [Anonymous], COSTRUZIONI IDRAULIC
   [Anonymous], ACQUEDOTTI DATI TECN
   [Anonymous], WAT CIT ENS SUST OEC
   Behzadian K, 2014, PROCEDIA ENGINEER, V89, P719, DOI 10.1016/j.proeng.2014.11.499
   Behzadian K., 2014, Drinking Water Engineering and Science, V7, P63
   Behzadian K, 2015, RESOUR CONSERV RECY, V99, P84, DOI 10.1016/j.resconrec.2015.03.015
   Behzadian K, 2015, SCI TOTAL ENVIRON, V527, P220, DOI 10.1016/j.scitotenv.2015.04.097
   Felisa G, 2013, WATER-SUI, V5, P1830, DOI 10.3390/w5041830
   Fowler HJ, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001778
   Georgi B., 2012, URBAN ADAPTATION CLI
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Hernández-Bedolla J, 2017, WATER-SUI, V9, DOI 10.3390/w9030213
   Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688
   Kanakoudis V, 2017, ENVIRON SCI POLLUT R, V24, P20173, DOI 10.1007/s11356-017-9732-8
   Kanakoudis V, 2014, J WATER CLIM CHANGE, V5, P556, DOI 10.2166/wcc.2014.101
   Kanakoudis V, 2012, WATER-SUI, V4, P45, DOI 10.3390/w4010045
   Kennedy C, 2011, ENVIRON POLLUT, V159, P1965, DOI 10.1016/j.envpol.2010.10.022
   Kenway S, 2011, J IND ECOL, V15, P693, DOI 10.1111/j.1530-9290.2011.00357.x
   Liserra T, 2014, WATER RESOUR MANAG, V28, P1201, DOI 10.1007/s11269-014-0522-5
   Loucks D.P., 2017, Water resources systems planning and management: an introduction to methods, models, and applications, P417, DOI [10.1007/978-3-319-44234-1, DOI 10.1007/978-3-319-44234-11]
   Makropoulos CK, 2008, ENVIRON MODELL SOFTW, V23, P1448, DOI 10.1016/j.envsoft.2008.04.010
   Mitchell VG, 2005, WATER SCI TECHNOL, V52, P91, DOI 10.2166/wst.2005.0435
   Mitchell VG, 2006, ENVIRON MODELL SOFTW, V21, P129, DOI 10.1016/j.envsoft.2005.03.003
   Mitchell VG, 2001, ENVIRON MODELL SOFTW, V16, P615, DOI 10.1016/S1364-8152(01)00029-9
   Nair S, 2014, RESOUR CONSERV RECY, V89, P1, DOI 10.1016/j.resconrec.2014.05.007
   Newman PWG, 1999, LANDSCAPE URBAN PLAN, V44, P219, DOI 10.1016/S0169-2046(99)00009-2
   Rathnayaka K, 2016, WATER-SUI, V8, DOI 10.3390/w8120595
   Rossman L. A., 2000, USERS MANUAL NATL RI
   Savic DA, 2013, J INDIAN I SCI, V93, P319
   Van Leeuwen CJ, 2016, ENVIRON DEV SUSTAIN, V18, P1113, DOI 10.1007/s10668-015-9691-5
   van Leeuwen CJ, 2012, WATER RESOUR MANAG, V26, P2177, DOI 10.1007/s11269-012-0009-1
   Venkatesh G, 2017, URBAN WATER J, V14, P11, DOI 10.1080/1573062X.2015.1057184
   Venkatesh G, 2014, WATER RES, V61, P19, DOI 10.1016/j.watres.2014.05.004
   Venkatesh G, 2011, ENERGY, V36, P792, DOI 10.1016/j.energy.2010.12.040
NR 44
TC 2
Z9 2
U1 5
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAR 3
PY 2019
VL 11
IS 3
AR 450
DI 10.3390/w11030450
PG 26
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA HT4QR
UT WOS:000464548600006
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Hunter, MCR
   Brown, DG
AF Hunter, Mary Carol R.
   Brown, Daniel G.
TI Spatial contagion: Gardening along the street in residential
   neighborhoods
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Urban garden mapping; Urban green space; Public rights-of-way;
   Connectivity for ecological resilience; Green infrastructure; Social
   contagion; Urban garden design
ID FRONT-YARD LANDSCAPE; URBAN GREEN; BIODIVERSITY CONSERVATION; HUMAN
   HEALTH; ECOSYSTEM; CITY; PRINCIPLES; MANAGEMENT; DIVERSITY; RESOURCE
AB Urban nature, including residential gardens, can promote biodiversity and increase human wellbeing. Understanding factors that encourage the spread of gardening within cities may help planners facilitate healthier and more biodiverse urban communities. This study characterizes the spatial distribution and attributes of gardens found in easement areas of Ann Arbor, Michigan. Spatial analyses of these privately managed public spaces provide evidence of clustering for both presence of gardens and their esthetic quality. Data collected on the location and attributes of easements from 22,562 properties during summer of 2009, show that 11% of these properties held an easement garden. Results of multiple spatial analyses, each targeting a different aspect of garden distribution, show that (a) the most intense easement garden clustering occurs among neighbors with direct visual access to nearest neighbors' easement areas; (b) it is 2.4 times as likely that a property holds an easement garden if a property within 30 m holds one; (c) although clustering is measureable for all neighborhood sizes up to 610 m from home, peak clustering happens within 91 m of home; and (d) clustering of easement gardens are clustered in terms of quality (appeal), and greatest clustering occurs between pairs of adjacent neighbors. While larger scale factors may play a role in where a garden cluster is initiated, the dominant occurrence of relatively small cluster sizes indicates that social contagion is in play. The potential value of social contagion is discussed as a mechanism for spread sustainable behaviors that support ecological resilience in urban areas. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Hunter, Mary Carol R.; Brown, Daniel G.] Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA.
C3 University of Michigan System; University of Michigan
RP Hunter, MCR (corresponding author), Univ Michigan, Sch Nat Resources & Environm, 440 Church St, Ann Arbor, MI 48109 USA.
EM mchunter@umich.edu; danbrown@umich.edu
RI Hunter, MaryCarol/E-4973-2011; Brown, Dan/L-8089-2013
OI Hunter, MaryCarol/0000-0003-2447-211X; Brown, Dan/0000-0001-6023-5950
FU USDA-FS [MICY000708]; U-M's School of Natural Resources and Environment;
   Directorate For Geosciences [0814542] Funding Source: National Science
   Foundation
FX This research is supported by a USDA-FS grant (#MICY000708) and U-M's
   School of Natural Resources and Environment. We thank Samantha Gibbes
   and Julia Gankin for excellence and dedication in the field and lab,
   Brandon Pence and Robin Burke and for lab/studio assistance, Rena
   Seltzer for manuscript support, and Giselle Kolenic and Kathy Welch of
   U-M's Center for Statistical Consultation and Research (CSCAR) for
   consultation.
CR Alaimo K, 2010, J COMMUNITY PSYCHOL, V38, P497, DOI 10.1002/jcop.20378
   Aurora Amanda L., 2009, Urban Ecosystems, V12, P347, DOI 10.1007/s11252-009-0084-0
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bonabeau E, 2004, HARVARD BUS REV, V82, P45
   Brown Caroline., 2005, Built Environment, V31, P326
   Colding J, 2006, AMBIO, V35, P237, DOI 10.1579/05-A-098R.1
   Comstock N, 2010, J ENVIRON PSYCHOL, V30, P435, DOI 10.1016/j.jenvp.2010.05.001
   Conway TM, 2011, LANDSCAPE URBAN PLAN, V101, P321, DOI 10.1016/j.landurbplan.2011.02.037
   Cook EM, 2012, URBAN ECOSYST, V15, P19, DOI 10.1007/s11252-011-0197-0
   CUZICK J, 1990, J ROY STAT SOC B MET, V52, P73
   Daniels GD, 2006, BIOL CONSERV, V133, P326, DOI 10.1016/j.biocon.2006.06.011
   Davies ZG, 2011, J APPL ECOL, V48, P1125, DOI 10.1111/j.1365-2664.2011.02021.x
   Davies ZG, 2009, BIOL CONSERV, V142, P761, DOI 10.1016/j.biocon.2008.12.016
   Dittmar Hank., 2004, The New Transit Town: Best Practices in Transit- Oriented Development
   Doody BJ, 2010, BIODIVERS CONSERV, V19, P1385, DOI 10.1007/s10531-009-9768-2
   Douglas I, 2011, ROUTLEDGE HANDBOOK OF URBAN ECOLOGY, P264
   Ernstson H, 2010, ECOL SOC, V15
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fontana S, 2011, LANDSCAPE URBAN PLAN, V101, P278, DOI 10.1016/j.landurbplan.2011.02.033
   Gaston KJ, 2005, BIODIVERS CONSERV, V14, P3327, DOI 10.1007/s10531-004-9513-9
   Gill SE, 2008, LANDSCAPE URBAN PLAN, V87, P210, DOI 10.1016/j.landurbplan.2008.06.008
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P202, DOI 10.1016/j.tree.2009.12.007
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   Gross H, 2007, J ENVIRON PSYCHOL, V27, P225, DOI 10.1016/j.jenvp.2007.04.003
   Grove JM, 2006, ECOSYSTEMS, V9, P578, DOI 10.1007/s10021-006-0116-z
   Hunter M, 2011, LANDSC J, V30, P173, DOI 10.3368/lj.30.2.173
   Hunter MR, 2011, LANDSCAPE URBAN PLAN, V101, P131, DOI 10.1016/j.landurbplan.2011.02.005
   Hunter MR, 2008, INSECT CONSERV DIVER, V1, P189, DOI 10.1111/j.1752-4598.2008.00024.x
   Ignatieva M, 2011, LANDSC ECOL ENG, V7, P17, DOI 10.1007/s11355-010-0143-y
   Jim CY, 2003, LANDSCAPE URBAN PLAN, V65, P95, DOI 10.1016/S0169-2046(02)00244-X
   Jorgensen A, 2010, NAT CULT, V5, P338, DOI 10.3167/nc.2010.050307
   Kazemi F, 2011, LANDSCAPE URBAN PLAN, V101, P139, DOI 10.1016/j.landurbplan.2011.02.006
   Kirkpatrick JB, 2007, LANDSCAPE URBAN PLAN, V79, P314, DOI 10.1016/j.landurbplan.2006.03.006
   Kirkpatrick J, 2009, LANDSCAPE URBAN PLAN, V93, P103, DOI 10.1016/j.landurbplan.2009.06.009
   Kurtz H, 2001, URBAN GEOGR, V22, P656, DOI 10.2747/0272-3638.22.7.656
   Larsen L, 2006, LANDSCAPE URBAN PLAN, V78, P85, DOI 10.1016/j.landurbplan.2005.06.002
   Larson KL, 2009, ENVIRON MANAGE, V44, P921, DOI 10.1007/s00267-009-9353-1
   Li F, 2005, LANDSCAPE URBAN PLAN, V72, P325, DOI 10.1016/j.landurbplan.2004.04.002
   Loram A, 2008, ENVIRON MANAGE, V42, P361, DOI 10.1007/s00267-008-9097-3
   Loram A, 2007, LANDSCAPE ECOL, V22, P601, DOI 10.1007/s10980-006-9051-9
   Lortie C., 2008, EC WORLD SUMM 2008 P, P1
   Maller C, 2006, HEALTH PROMOT INT, V21, P45, DOI 10.1093/heapro/dai032
   Mathieu R, 2007, LANDSCAPE URBAN PLAN, V81, P179, DOI 10.1016/j.landurbplan.2006.11.009
   McPherson EG, 2011, LANDSCAPE URBAN PLAN, V99, P40, DOI 10.1016/j.landurbplan.2010.08.011
   Milburn L., 2010, Landscape Journal, V29, P71, DOI [10.3368/lj.29.1.71, DOI 10.3368/LJ.29.1.71]
   Mueller GD, 2009, J AM WATER RESOUR AS, V45, P1116, DOI 10.1111/j.1752-1688.2009.00347.x
   Nassauer JI, 2009, LANDSCAPE URBAN PLAN, V92, P282, DOI 10.1016/j.landurbplan.2009.05.010
   PALMER JF, 1984, URBAN ECOL, V8, P229, DOI 10.1016/0304-4009(84)90037-8
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Rendell L, 2011, TRENDS COGN SCI, V15, P68, DOI 10.1016/j.tics.2010.12.002
   Robbins P, 2003, ANTIPODE, V35, P955, DOI 10.1111/j.1467-8330.2003.00366.x
   Rudd H, 2002, RESTOR ECOL, V10, P368, DOI 10.1046/j.1526-100X.2002.02041.x
   Sperling Corinne D., 2010, Urban Ecosystems, V13, P223, DOI 10.1007/s11252-009-0114-y
   Twiss J, 2003, AM J PUBLIC HEALTH, V93, P1435, DOI 10.2105/AJPH.93.9.1435
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Van Rossum F, 2010, LANDSCAPE URBAN PLAN, V95, P201, DOI 10.1016/j.landurbplan.2010.01.004
   Warren PS, 2008, BIOL CONSERV, V141, P3, DOI 10.1016/j.biocon.2007.10.005
   Zheng B, 2011, LANDSCAPE URBAN PLAN, V99, P1, DOI 10.1016/j.landurbplan.2010.08.006
   Zmyslony J, 2000, LANDSCAPE ECOL, V15, P357, DOI 10.1023/A:1008160131014
   Zmyslony J, 1998, LANDSCAPE URBAN PLAN, V40, P295, DOI 10.1016/S0169-2046(97)00090-X
NR 61
TC 90
Z9 111
U1 0
U2 200
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD APR 30
PY 2012
VL 105
IS 4
BP 407
EP 416
DI 10.1016/j.landurbplan.2012.01.013
PG 10
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA 922AA
UT WOS:000302518000007
DA 2025-04-22
ER

PT J
AU Olivero-Lora, S
   Rojas-Sandoval, J
   Meléndez-Ackerman, EJ
   Orengo-Rolón, JL
AF Olivero-Lora, Sofia
   Rojas-Sandoval, Julissa
   Melendez-Ackerman, Elvia J.
   Orengo-Rolon, Juan L.
TI Hurricane driven changes in vegetation structure and ecosystem services
   in tropical urban yards: a study case in San Juan, Puerto Rico
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Caribbean; i-Tree; Non-native trees; Tree mortality; Urban forestry;
   Wind damage
ID GREEN INFRASTRUCTURE; FOREST; DAMAGE; SUSCEPTIBILITY; VULNERABILITY;
   INTENSITY; BENEFITS; MARIA; TREES
AB Urban forests are valuable spaces for species conservation, protection of local biodiversity and provision of ecosystem services. However, they are also vulnerable to the impact of extreme climate events like hurricanes. Understanding how urban forests are responding to hurricane disturbances is crucial to improve their design, management, and resilience. Here we analyzed pre-and post-hurricane vegetation surveys in 52 residential yards in San Juan to assess urban forest responses after Hurricanes Irma and Maria impacted Puerto Rico in 2017. We used these surveys to compare vegetation structure and composition (including species-specific mortality and damage rates) and to quantify changes in the ecosystem services provided by these yards. We found that hurricane disturbances significantly altered the structure but not the composition of yard vegetation. We detected a 27% reduction and 31% mortality of standing stems, and a significant reduction in plants health. Yard species composition was dominated by non-native species and this trend did not change with hurricane disturbance. Changes in vegetation structure translated into substantial reductions in ecosystem services. Food provision, an important service provided by a large proportion of yards before the hurricane, reported the highest reduction (41.9%) while carbon storage was the service that changed the least (9%). Our combined results emphasize the key role played by residential yards providing ecosystem services in tropical cities and call for further efforts to manage private and public urban forests in ways that may ensure their resilience to mitigate extreme climate events, provide multiple ecosystem services, and promote long-term urban sustainability.
C1 [Olivero-Lora, Sofia; Melendez-Ackerman, Elvia J.; Orengo-Rolon, Juan L.] Univ Puerto Rico, Dept Environm Sci, Rio Piedras Campus, San Juan, PR 00931 USA.
   [Rojas-Sandoval, Julissa] Univ Connecticut, Inst Environm, Storrs, CT 06269 USA.
   [Melendez-Ackerman, Elvia J.] Univ Puerto Rico, Ctr Appl Trop Ecol & Conservat CATEC, Rio Piedras Campus, San Juan, PR 00931 USA.
C3 University of Puerto Rico; University of Puerto Rico Rio Piedras;
   University of Connecticut; University of Puerto Rico; University of
   Puerto Rico Rio Piedras
RP Meléndez-Ackerman, EJ (corresponding author), Univ Puerto Rico, Dept Environm Sci, Rio Piedras Campus, San Juan, PR 00931 USA.; Meléndez-Ackerman, EJ (corresponding author), Univ Puerto Rico, Ctr Appl Trop Ecol & Conservat CATEC, Rio Piedras Campus, San Juan, PR 00931 USA.
OI Rojas-Sandoval, Julissa/0000-0001-6620-4741
FU Center for Applied Tropical Ecology and Conservation (CATEC); Institute
   for Tropical Ecosystem Studies (ITES); Office of the Dean of Graduate
   Studies and Research (UPR-DEGI)
FX We would like to thank our backers for their support. This study was
   also supported by the Center for Applied Tropical Ecology and
   Conservation (CATEC) and the Institute for Tropical Ecosystem Studies
   (ITES). S.O-L was supported by the Office of the Dean of Graduate
   Studies and Research (UPR-DEGI). We also thank J. Orengo, W. Rivera, L.
   Diaz-Perez, J. Garcia, A. Lopez and C. Aviles and many volunteers and
   students from the Tropical Plant Ecology and Evolution Lab at the
   University of Puerto Rico for their help with laboratory and fieldwork.
CR Ackerman JD, 2017, BIOL INVASIONS, V19, P315, DOI 10.1007/s10530-016-1281-4
   Agresti A., 2019, Categorical data analysis, V3rd
   [Anonymous], Strengthening post-hurricane supply chain resilience: Observations from Hurricanes Harvey, Irma, and Maria, DOI DOI 10.17226/25490
   [Anonymous], 2016, The PLANTS Database
   [Anonymous], 2019, GERMPLASM RESOURCES
   [Anonymous], 2014, ECOL SOC, DOI DOI 10.5751/ES-06457-190302
   [Anonymous], 2012, CARIBBEAN FOREST TAP
   Austin Z, 2016, ECOSYST SERV, V20, P37, DOI 10.1016/j.ecoser.2016.06.002
   AXELROD F.S., 2011, A Systematic Vademecum to the Vascular Plants of Puerto Rico
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Benach J, 2019, SOC SCI MED, V238, DOI 10.1016/j.socscimed.2019.112367
   Berland A, 2017, LANDSCAPE URBAN PLAN, V162, P167, DOI 10.1016/j.landurbplan.2017.02.017
   Birkhofer K, 2015, FRONT ECOL EVOL, V2, DOI 10.3389/fevo.2014.00087
   Bonilla-Duarte S, 2021, FORESTS, V12, DOI 10.3390/f12070884
   Brown S., 1997, Estimating biomass and biomass change of tropical forests: A primer
   Burley S, 2008, LANDSCAPE URBAN PLAN, V85, P111, DOI 10.1016/j.landurbplan.2007.10.003
   Canham CD, 2010, BIOTROPICA, V42, P87, DOI 10.1111/j.1744-7429.2009.00545.x
   Caraballo-Cueto J., 2021, CENTRO: Journal of the Center for Puerto Rican Studies, V33, P66
   Carsan S., 2012, African Wood Density Database
   Chave J, 2009, ECOL LETT, V12, P351, DOI 10.1111/j.1461-0248.2009.01285.x
   Cook EM, 2012, URBAN ECOSYST, V15, P19, DOI 10.1007/s11252-011-0197-0
   Dickson E., 2012, URBAN RISK ASSESSMEN, DOI DOI 10.1596/978-0-8213-8962-1
   Duryea M., 2014, SELECTING TROPICAL S, P1
   Duryea Mary L., 2007, Arboriculture & Urban Forestry, V33, P83
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   Feng Y., 2018, PeerJ Preprints, V6, pe26597v1, DOI DOI 10.7287/PEERJ.PREPRINTS.26597V1
   Field A., 2013, DISCOVERING STAT USI
   Foran Christy M., 2015, Environment Systems & Decisions, V35, P389, DOI 10.1007/s10669-015-9563-4
   Francis John K., 2000, Journal of Arboriculture, V26, P189
   Franklin Jerry F., 2000, IITF15 USDA FOR SERV, P1, DOI [10.2737/IITF-GTR-15, DOI 10.2737/IITF-GTR-15]
   Gaston KJ, 2005, BIODIVERS CONSERV, V14, P3327, DOI 10.1007/s10531-004-9513-9
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Gould W.A., 2015, Caribbean Regional Climate Sub Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies
   Gould WA, 2017, FORESTS, V8, DOI 10.3390/f8070242
   Hall J, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61164-2
   Ingram JC, 2012, SAPI ENS SURVEYS PER
   Khan T, 2020, ENVIRON MANAGE, V65, P534, DOI 10.1007/s00267-020-01270-z
   Kleerekoper L, 2012, RESOUR CONSERV RECY, V64, P30, DOI 10.1016/j.resconrec.2011.06.004
   Koeser A, 2013, URBAN FOR URBAN GREE, V12, P562, DOI 10.1016/j.ufug.2013.05.006
   Kossin James P, 2020, Proc Natl Acad Sci U S A, V117, P11975, DOI 10.1073/pnas.1920849117
   Lafortezza R., 2017, Routledge Handbook of Urban Forestry, V1st, P179, DOI [DOI 10.4324/9781315627106, https://doi.org/10.4324/9781315627106]
   Lima JMT, 2013, LANDSCAPE URBAN PLAN, V120, P96, DOI 10.1016/j.landurbplan.2013.08.007
   Lugo AE, 2008, AUSTRAL ECOL, V33, P368, DOI 10.1111/j.1442-9993.2008.01894.x
   Lugo A E., 2011, The Rio Piedras watershed and its surrounding environment
   Lugo AE, 2000, SCI TOTAL ENVIRON, V262, P243, DOI 10.1016/S0048-9697(00)00526-X
   Martinuzzi S, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127125
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McLaren K, 2019, AGR FOREST METEOROL, V276, DOI 10.1016/j.agrformet.2019.107621
   McPhillips LE, 2018, EARTHS FUTURE, V6, P441, DOI 10.1002/2017EF000686
   Melendez EJ., 2021, J URBAN ECOL, V7, P1, DOI [10.1093/jue/juaa037, DOI 10.1093/JUE/JUAA037]
   Meléndez-Ackerman EJ, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050481
   Meléndez-Ackerman EJ, 2014, ECOL SOC, V19, DOI 10.5751/ES-06563-190320
   Méndez-Lázaro P, 2018, INT J BIOMETEOROL, V62, P709, DOI 10.1007/s00484-017-1319-z
   Méndez-Lázaro PA, 2018, INT J BIOMETEOROL, V62, P699, DOI 10.1007/s00484-016-1291-z
   Muñoz-Erickson TA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06385-190323
   Nowak D.J., 2018, Arboricultural Consultant, V51, P10
   Nowak DJ, 2018, J FOREST, V116, P164, DOI 10.1093/jofore/fvx004
   Olivero-Lora S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010117
   Ordóñez C, 2014, ENVIRON REV, V22, P311, DOI 10.1139/er-2013-0078
   Ostertag R, 2005, BIOTROPICA, V37, P16, DOI 10.1111/j.1744-7429.2005.04052.x
   Paull R., 2011, Tropical Fruits, V1, DOI DOI 10.1016/B978-0-12-394807-6.00185-4
   Ramos-González OM, 2014, ECOL SOC, V19, DOI 10.5751/ES-06598-190321
   Ramos-Scharron CE, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52198-2
   Rodríguez-Díaz CE, 2018, AM J PUBLIC HEALTH, V108, P30, DOI 10.2105/AJPH.2017.304198
   Rojas-Sandoval J, 2021, NEOBIOTA, P177, DOI 10.3897/neobiota.64.62939
   Rojas-Sandoval J, 2017, ECOL EVOL, V7, P4522, DOI 10.1002/ece3.2984
   Rojas-Sandoval J, 2015, BIOL INVASIONS, V17, P149, DOI 10.1007/s10530-014-0712-3
   Roy S, 2012, URBAN FOR URBAN GREE, V11, P351, DOI 10.1016/j.ufug.2012.06.006
   Steenberg James W. N., 2019, Arboriculture & Urban Forestry, V45, P10
   Steenberg JWN, 2017, ENVIRON REV, V25, P115, DOI 10.1139/er-2016-0022
   Subramanian R, 2018, ACS EARTH SPACE CHEM, V2, P1179, DOI 10.1021/acsearthspacechem.8b00079
   Tanner EVJ, 2014, ECOLOGY, V95, P2974, DOI 10.1890/13-1801.1
   Timilsina N, 2014, LANDSCAPE URBAN PLAN, V127, P18, DOI 10.1016/j.landurbplan.2014.04.003
   Torres-Camacho K, 2017, URBAN ECOSYST, V20, P403, DOI 10.1007/s11252-016-0602-9
   U.S. Census Bureau, 2019, US
   U.S. Energy Information Administration, 2018, EIA EL SAL DAT PUERT
   Uriarte M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09319-2
   Van Beusekom AE, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091386
   Vila-Ruiz CP, 2014, ECOL SOC, V19, DOI 10.5751/ES-06164-190322
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   Xi WM, 2015, J FORESTRY RES, V26, P1, DOI 10.1007/s11676-015-0018-z
   Yan PB, 2018, FORESTS, V9, DOI 10.3390/f9020050
   Yin JB, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06765-2
   Zhao M, 2010, URBAN FOR URBAN GREE, V9, P205, DOI 10.1016/j.ufug.2010.01.008
   Zimmerman JK, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.640121
   ZIMMERMAN JK, 1994, J ECOL, V82, P911, DOI 10.2307/2261454
   Zölch T, 2016, URBAN FOR URBAN GREE, V20, P305, DOI 10.1016/j.ufug.2016.09.011
NR 88
TC 4
Z9 5
U1 2
U2 23
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD OCT
PY 2022
VL 25
IS 5
BP 1431
EP 1444
DI 10.1007/s11252-022-01236-5
EA MAY 2022
PG 14
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA 4L2CI
UT WOS:000799736100001
DA 2025-04-22
ER

PT J
AU Sun, S
   Wang, ZY
   Hu, CY
   Gao, G
AF Sun, Shao
   Wang, Zunya
   Hu, Chuanye
   Gao, Ge
TI Understanding Climate Hazard Patterns and Urban Adaptation Measures in
   China
SO SUSTAINABILITY
LA English
DT Article
DE climate hazards; geospatial analysis; urban adaptation; risk management;
   China
ID ASIAN WINTER MONSOON; SUMMER MONSOON; EAST; CITIES; RISK; URBANIZATION;
   IMPACTS
AB Climate-related risks pose a great threat to urban safety, infrastructure stability and socioeconomic sustainability. China is a country that crosses diverse geomorphic and climatic regions in the world and is frequently affected by various climate hazards. In this study, we propose a comprehensive analysis on the spatial pattern of major climate hazards in China from 1991 to 2020, including rainstorms, droughts, heatwaves, coldwaves, typhoons, and snowstorms, and generate an integrated sketch map on multi-hazard zones. It is detectable that South of the Yangtze River is in danger of heatwaves, rainstorms, and typhoons, while the North China Plain is more likely to suffer droughts. Coldwaves, snowstorms, and freezing mainly affect Northeast China, Northwest China, and the Qinghai-Tibet Plateau. In the view of climate governance, cities are hotspots affected by intensified climate hazards in a warmer climate. There is an urgent need to incorporate a climate adaptation strategy into future city construction, so as to improve social resilience and mitigate climate impacts in rapid urbanization process. Specific adaptation measures have been developed from the perspectives of land-use planning, prevention standard, risk assessment, and emergency response to facilitate the understanding of climate resilience and urban sustainability.
C1 [Sun, Shao; Wang, Zunya; Hu, Chuanye; Gao, Ge] China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China.
C3 China Meteorological Administration; National Climate Centre, China
   Meteorological Administration
RP Wang, ZY; Hu, CY (corresponding author), China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China.
EM wangzy@cma.gov.cn; hucy@cma.gov.cn
RI SUN, Shao/HTQ-3815-2023
OI SUN, Shao/0000-0003-3411-5466; hu, chuanye/0000-0002-5698-6118
FU National Key Research and Development Program of China [2018YFC1509003,
   2019YFC1510202]; National Natural Science Foundation of China
   [41701103]; Major Research and Development Program of China Railway
   Group [P2018T006]; UK-China Cooperation on Climate Change Risk
   Assessment
FX This research was funded by the National Key Research and Development
   Program of China (Grant No. 2018YFC1509003 and 2019YFC1510202), the
   National Natural Science Foundation of China (Grant No. 41701103), the
   Major Research and Development Program of China Railway Group
   (P2018T006), and the UK-China Cooperation on Climate Change Risk
   Assessment.
CR AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   Arnell NW, 2016, CLIMATIC CHANGE, V134, P387, DOI 10.1007/s10584-014-1084-5
   Arshad A, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2019.101468
   Auffhammer M, 2017, P NATL ACAD SCI USA, V114, P1886, DOI 10.1073/pnas.1613193114
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Balogun AL, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101888
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Brown D, 2011, ENVIRON SCI POLICY, V14, P940, DOI 10.1016/j.envsci.2011.07.009
   Buchanan MK, 2016, CLIMATIC CHANGE, V137, P347, DOI 10.1007/s10584-016-1664-7
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cao LJ, 2016, INT J CLIMATOL, V36, P4384, DOI 10.1002/joc.4639
   Caparros-Midwood D, 2019, CITIES, V89, P252, DOI 10.1016/j.cities.2019.02.018
   Carleton TA, 2016, SCIENCE, V353, DOI 10.1126/science.aad9837
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chen HP, 2020, ATMOS OCEAN SCI LETT, V13, P63, DOI 10.1080/16742834.2020.1697168
   Chen TC, 2004, J CLIMATE, V17, P744, DOI 10.1175/1520-0442(2004)017<0744:VOTEAS>2.0.CO;2
   Cobbinah PB, 2019, J URBAN MANAG, V8, P261, DOI 10.1016/j.jum.2019.02.002
   Compo GP, 1999, Q J ROY METEOR SOC, V125, P29, DOI 10.1002/qj.49712555304
   [崔胜辉 Cui Shenghui], 2015, [地理科学进展, Progress in Geography], V34, P1209
   Ding Y, 1994, Adv. Atmos. Sci., V2, P135, DOI [10.1007/BF02682559, DOI 10.1007/BF02682559, DOI 10.1007/BF02666553]
   Ding Y.H., 2004, East Asian Monsoon, P3
   Ding YH, 2005, METEOROL ATMOS PHYS, V89, P117, DOI 10.1007/s00703-005-0125-z
   DING YH, 1992, J METEOROL SOC JPN, V70, P373, DOI 10.2151/jmsj1965.70.1B_373
   Fünfgeld H, 2010, CURR OPIN ENV SUST, V2, P156, DOI 10.1016/j.cosust.2010.07.001
   Gong DY, 2001, GEOPHYS RES LETT, V28, P2073, DOI 10.1029/2000GL012311
   Greiving S, 2012, EUR PLAN STUD, V20, P27, DOI 10.1080/09654313.2011.638493
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hansen G, 2015, NAT CLIM CHANGE, V5, P182, DOI 10.1038/nclimate2529
   James R, 2014, NAT CLIM CHANGE, V4, P938, DOI 10.1038/nclimate2411
   Jiang SJ, 2020, J CLIMATE, V33, P9045, DOI 10.1175/JCLI-D-20-0118.1
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   [邹旭恺 Ju Xukai], 2008, [应用气象学报, Journal of Applied Meteorolgical Science], V19, P679
   Larsen K, 2009, HABITAT INT, V33, P260, DOI 10.1016/j.habitatint.2008.10.007
   Lau K M, 1997, Advances in Atmospheric Sciences, V14, P141, DOI 10.1007/s00376-997-0016-y
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Nakamura H, 2002, J CLIMATE, V15, P1855, DOI 10.1175/1520-0442(2002)015<1855:IADMRO>2.0.CO;2
   Neumann JE, 2015, CLIMATIC CHANGE, V131, P97, DOI 10.1007/s10584-013-1037-4
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Qian WH, 2000, INT J CLIMATOL, V20, P1371, DOI 10.1002/1097-0088(200009)20:11<1371::AID-JOC538>3.0.CO;2-V
   Rivera C, 2014, INT J DISAST RISK RE, V7, P78, DOI 10.1016/j.ijdrr.2013.12.008
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Roggema R, 2012, SMART SUSTAIN BUILT, V1, P29, DOI 10.1108/20466091211227043
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Shen XJ, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087648
   Stone B, 2010, ENVIRON HEALTH PERSP, V118, P1425, DOI 10.1289/ehp.0901879
   Sun JQ, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD013541
   TANAKA M, 1992, J METEOROL SOC JPN, V70, P613, DOI 10.2151/jmsj1965.70.1B_613
   Tao S., 1987, MONSOON METEOROLOGY, P60
   Trusilova K, 2008, J APPL METEOROL CLIM, V47, P1442, DOI 10.1175/2007JAMC1624.1
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Wang ZY, 2018, CHINESE J GEOPHYS-CH, V61, P2654, DOI 10.6038/cjg2018L0405
   While A, 2013, URBAN STUD, V50, P1325, DOI 10.1177/0042098013480963
   Wilson E, 2006, LOCAL ENVIRON, V11, P609, DOI 10.1080/13549830600853635
   Wu J., 2020, Urban Plan. Int, V35, P96, DOI DOI 10.19830/J.UPI.2019.164
   [吴绍洪 Wu Shaohong], 2020, [中国人口·资源与环境, China Population Resources and Environment], V30, P1
   Wu XJ, 2020, SCI TOTAL ENVIRON, V731, DOI 10.1016/j.scitotenv.2020.138857
   Wu YF, 2015, J ARID LAND, V7, P527, DOI 10.1007/s40333-015-0125-x
   [徐一剑 Xu Yijian], 2020, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V16, P88
   Ying M, 2014, J ATMOS OCEAN TECH, V31, P287, DOI 10.1175/JTECH-D-12-00119.1
   Zhang P., 1999, Acta Meteorologica Sinica, V57, P493, DOI DOI 10.11676/QXXB1999.046
   Zhang Y, 1997, MON WEATHER REV, V125, P2605, DOI 10.1175/1520-0493(1997)125<2605:CAIVOT>2.0.CO;2
   Zhou BT, 2016, INT J CLIMATOL, V36, P1051, DOI 10.1002/joc.4400
NR 63
TC 8
Z9 8
U1 5
U2 61
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2021
VL 13
IS 24
AR 13886
DI 10.3390/su132413886
PG 12
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA XZ1WH
UT WOS:000737450000001
OA gold
DA 2025-04-22
ER

PT J
AU Voskamp, IM
   Van de Ven, FHM
AF Voskamp, I. M.
   Van de Ven, F. H. M.
TI Planning support system for climate adaptation: Composing effective sets
   of blue-green measures to reduce urban vulnerability to extreme weather
   events
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Planning support systems (PSS); Ecosystem services; Green
   infrastructure; Resilience; Urban climate adaptation; Adaptation
   measures selection assistant
ID STORMWATER MANAGEMENT; DESIGN; RETROFITS; MODEL; INFRASTRUCTURE;
   COPENHAGEN; CATCHMENT; IMPACT; FLOOD
AB The risk of pluvial flooding, heat stress and drought is increasing due to climate change. To increase urban resilience to extreme weather events, it is essential to combine green and blue infrastructure and link enhanced storage capacity in periods of water surplus with moments of water shortage as well as water availability with heat stress. 'Blue-green measures' is a collective term for sustainable green and blue infrastructure that utilises underlying ecosystem functions to deliver multiple benefits: for example, cooling via evapotranspiration, water storage for heavy rainfall events, discharge peak attenuation, seasonal water storage, and groundwater recharge. Measures contribute most to climate adaptation when implemented in combinations. Such packages of blue-green measures capitalize upon the synergistic interactions between ecosystem functions and hence enhance multiple vulnerability reduction capacities. Moreover, combining blue-green measures enables using their unique potential at different spatial scales and establishing hydrologic connectivity. This paper proposes a framework for a planning support system and a tool to select adaptation measures to support urban planners in collaboratively finding site-specific sets of blue-green measures for a particular urban reconstruction project. With the proposed framework users can evaluate appropriateness of specific adaptation measures for a particular location and compose effective packages of blue-green measures to handle flooding, drought and heat stress. It is concluded that the framework: 1) enables incorporating knowledge on urban climate adaptation and ecosystem services in a communicative urban planning process, 2) guides the selection of a coherent and effective package of blue-green adaptation measures. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Voskamp, I. M.; Van de Ven, F. H. M.] Deltares, Urban Water Management, NL-3508 AL Utrecht, Netherlands.
   [Van de Ven, F. H. M.] Delft Univ Technol, Dept Water Management, NL-2628 CN Delft, Netherlands.
C3 Deltares; Delft University of Technology
RP Van de Ven, FHM (corresponding author), Deltares, Urban Water Management, POB 85467, NL-3508 AL Utrecht, Netherlands.
EM Frans.vandeVen@deltares.nl
OI Voskamp, Ilse/0000-0001-5828-8682
FU AECOM; Alterra; Arcadis; Bosch Slabbers; Studio Exter
FX The Adaptation Support Tool is being developed as part of the Climate
   KIC project Blue Green Dream. It builds on the results of the Climate
   Proof Cities research programme, which is part of the Netherlands'
   Knowledge for Climate programme, and on Climate Adaptation App, a
   project under the Netherlands' programme Climate Changes Spatial
   Planning. Feedback and support received from AECOM, Alterra, Arcadis,
   Bosch Slabbers, Studio Exter and the other BGD partners is gratefully
   acknowledged. Editorial support from Karl Smith, Imperial College
   London, is cordially acknowledged.
CR Agudelo Vera CM, 2012, DYNAMIC WATER RESOUR
   Ahern J, 2010, WATER CENTRIC SUSTAI, P311
   Ahern J., 2007, CITIES FUTURE INTEGR, P267, DOI 10.2166/9781780405308
   Albers M, 2013, EUR PLAN STUD, V21, P1598, DOI 10.1080/09654313.2012.722961
   Albers RAW, 2015, BUILD ENVIRON, V83, P1, DOI 10.1016/j.buildenv.2014.09.006
   Angel S., 2005, The dynamics of global urban expansion
   [Anonymous], 2007, P WATER ENV FED
   [Anonymous], 2011, World Urbanization Prospects: the 2011 Revision
   [Anonymous], 2013, ARCADIS BLU IN PRESS
   [Anonymous], CLIM CHANG 2007 ASS
   Backhaus A, 2012, ENVIRON PLANN B, V39, P820, DOI 10.1068/b37088
   Balsells M, 2013, WATER SCI TECHNOL, V68, P2448, DOI 10.2166/wst.2013.527
   Bastien N, 2010, WATER SCI TECHNOL, V61, P263, DOI 10.2166/wst.2010.806
   Burns MJ, 2012, LANDSCAPE URBAN PLAN, V105, P230, DOI 10.1016/j.landurbplan.2011.12.012
   De Graaf R, 2007, NAT HAZARDS, V5, P407
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Ellis JB, 2013, J ENVIRON PLANN MAN, V56, P24, DOI 10.1080/09640568.2011.648752
   EPA, NAT STORMW CALC
   European Environment Agency, 2012, CLIM CHANG IMP VULN, DOI [DOI 10.2800/66071, 10.2800/66071]
   Fletcher TD, 2013, ADV WATER RESOUR, V51, P261, DOI 10.1016/j.advwatres.2012.09.001
   Fletcher TD, 2001, MANAGING IMPACTS URB, P217
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Fryd O, 2013, WATER SCI TECHNOL, V67, P1945, DOI 10.2166/wst.2013.073
   Fryd O., 2011, CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, V6, P1, DOI 10.1079/PAVSNNR20116053
   Fryd O, 2012, WATER POLICY, V14, P865, DOI 10.2166/wp.2012.025
   Geertman S., 2004, Computers, Environment and Urban Systems, V28, P291, DOI 10.1016/S0198-9715(03)00024-3
   Gersonius B, 2012, WATER RES, V46, P6824, DOI 10.1016/j.watres.2012.03.060
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Hamel P, 2013, J HYDROL, V485, P201, DOI 10.1016/j.jhydrol.2013.01.001
   Illgen M, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P59
   IPCC Working Group I, 2014, GLOBAL SECT IN PRESS, VI
   James P, 2009, URBAN FOR URBAN GREE, V8, P65, DOI 10.1016/j.ufug.2009.02.001
   Jankovic V, 2012, CLIMATIC CHANGE, V113, P23, DOI 10.1007/s10584-012-0429-1
   Jefferies C, 2009, WATER SCI TECHNOL, V60, P1233, DOI 10.2166/wst.2009.463
   Kambites C, 2006, PLAN PRACT RES, V21, P483, DOI 10.1080/02697450601173413
   Lee JG, 2012, ENVIRON MODELL SOFTW, V37, P6, DOI 10.1016/j.envsoft.2012.04.011
   Lehner B, 2006, CLIMATIC CHANGE, V75, P273, DOI 10.1007/s10584-006-6338-4
   Malczewski J, 2004, PROG PLANN, V62, P3, DOI 10.1016/j.progress.2003.09.002
   Pelzer P, 2014, COMPUT ENVIRON URBAN, V48, P16, DOI 10.1016/j.compenvurbsys.2014.05.002
   Pickett STA, 2011, J ENVIRON MANAGE, V92, P331, DOI 10.1016/j.jenvman.2010.08.022
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pont Meta Berghauser., 2004, Spacemate: The Spatial Logic of Urban Density
   Potz H., 2012, URBAN GREEN BLUE GRI
   Rodriguez F, 2008, J HYDROL, V351, P268, DOI 10.1016/j.jhydrol.2007.12.007
   Roldin M, 2012, J HYDROL, V452, P64, DOI 10.1016/j.jhydrol.2012.05.027
   Sauerwein M, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P45
   Semadeni-Davies A, 2012, J WATER CLIM CHANGE, V3, P239, DOI 10.2166/wcc.2012.043
   te Brömmelstroet M, 2013, COMPUT ENVIRON URBAN, V41, P299, DOI 10.1016/j.compenvurbsys.2012.07.004
   Van de Ven F, 2009, WATERROBUUST BOUWEN
   van de Ven FHM, 2011, J FLOOD RISK MANAG, V4, P273, DOI 10.1111/j.1753-318X.2011.01109.x
   Villarreal EL, 2004, ECOL ENG, V22, P279, DOI 10.1016/j.ecoleng.2004.06.007
   Vonk G, 2010, LANDSCAPE URBAN PLAN, V94, P166, DOI 10.1016/j.landurbplan.2009.10.001
   Voskamp IM., 2013, COMPOSING SETS BLUE, P1
   Wu J, 2013, RESIL ECOL URBAN LIN, V3, P211
NR 56
TC 162
Z9 186
U1 19
U2 329
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD JAN
PY 2015
VL 83
SI SI
BP 159
EP 167
DI 10.1016/j.buildenv.2014.07.018
PG 9
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA AY5FA
UT WOS:000347597200014
DA 2025-04-22
ER

PT J
AU Hu, H
   Yan, KG
   Fan, HB
   Lv, TG
   Zhang, XM
AF Hu, Han
   Yan, Kegao
   Fan, Houbao
   Lv, Tiangui
   Zhang, Xinmin
TI How to decipher the environmental resilience performance? A case study
   of Yangtze River Delta Urban Agglomeration
SO PHYSICS AND CHEMISTRY OF THE EARTH
LA English
DT Article
DE Environmental resilience performance; Spatiotemporal evolution; Impact
   mechanisms; Optimal parameters-based geographical detector
ID SPATIOTEMPORAL EVOLUTION; EFFICIENCY; LAND
AB Improving environmental resilience performance (ERP) is a significant support for achieving sustainable development goals. This study introduces the three-dimensional analysis framework of "object-process-actor", capable of addressing multidimensional and multilevel issues. This framework systematically addresses the "three key questions" of what, how, and who to improve ERP. Results indicate that from 2011 to 2020, the ERP of the Yangtze River Delta Urban Agglomeration (YRDUA) was between 0.42 and 3.30. The violin plot and visualization analysis showed that its probability density and distribution status were stable, with significant regional differences. The ERP of economically developed cities such as Hangzhou and Shanghai is high, while the ERP of cities in the Yancheng-Chuzhou line is low, and the number of high-performing cities increases to 40.7% in 2020, which is a constantly improving development trend. Factors related to market actors have the greatest impact on ERP, with the explanatory power of FDI, green invention patents, and population concentration all exceeding 0.6, and the importance of government and social actors is also supported. The explanatory power of factor interactions was stronger than that of single factors, and land development degree ranked third in terms of its interaction power with other factors and was also a key factor influencing ERP. These findings provide new explanations and knowledge for improving ERP, which can provide references for policymakers and urban planners.
C1 [Hu, Han; Yan, Kegao] Hunan Univ, Sch Publ Adm, Changsha 410082, Peoples R China.
   [Fan, Houbao; Zhang, Xinmin] Jiangxi Univ Finance & Econ, Sch Appl Econ, Nanchang 330013, Peoples R China.
   [Lv, Tiangui] Jiangxi Univ Finance & Econ, Sch Publ Finance & Publ Adm, Nanchang 330013, Peoples R China.
C3 Hunan University; Jiangxi University of Finance & Economics; Jiangxi
   University of Finance & Economics
RP Zhang, XM (corresponding author), Jiangxi Univ Finance & Econ, Sch Appl Econ, Nanchang 330013, Peoples R China.; Lv, TG (corresponding author), Jiangxi Univ Finance & Econ, Sch Publ Finance & Publ Adm, Nanchang 330013, Peoples R China.
EM lvtiangui@163.com; zhangxm1217@aliyun.com
RI Han, Hu/KGL-1078-2024; Lv, Tiangui/GWC-4432-2022; Fan,
   houbao/GQZ-7022-2022
OI Fan, Houbao/0009-0003-5959-654X
FU National Natural Science Foundation of China [42261049]; Natural Science
   Foundation of Jiangxi Province [20232BAB203061, 20232BAA10026];
   Post-graduate Scientific Research Innovation Project of Hunan Province
   [CX20240349]
FX This study is supported by the National Natural Science Foundation of
   China (No. 42261049) , the Natural Science Foundation of Jiangxi
   Province (No.20232BAB203061 No.20232BAA10026) , and Post-graduate
   Scientific Research Innovation Project of Hunan Province (No.
   CX20240349) .
CR Abbas SJ, 2023, ENVIRON SCI POLLUT R, V30, P74441, DOI 10.1007/s11356-023-27727-2
   Ali SA, 2021, TECHNOL FORECAST SOC, V166, DOI 10.1016/j.techfore.2021.120573
   [Anonymous], 1998, Guidelines for Ecological Risk Assessment
   Baird J, 2019, ENVIRON MANAGE, V63, P200, DOI 10.1007/s00267-018-1123-5
   Bhattacharya M, 2020, ENERG ECON, V86, DOI 10.1016/j.eneco.2019.104632
   Calderón-Argelich A, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104130
   Cao YQ, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112887
   Casebolt JM, 2020, SYSTEMS ENG, V23, P36, DOI 10.1002/sys.21499
   Cha K, 2008, ECOL ECON, V67, P274, DOI 10.1016/j.ecolecon.2007.09.016
   Chi MJ, 2022, LAND-BASEL, V11, DOI 10.3390/land11050722
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   De Nicola A, 2012, J SOFTW-EVOL PROC, V24, P341, DOI 10.1002/smr.553
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Desimone L.D., 2000, ECO EFFICIENCY BUSIN
   Dong F, 2020, J CLEAN PROD, V267, DOI 10.1016/j.jclepro.2020.122031
   Dong LY, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.638891
   Elahi E, 2024, AGR SYST, V218, DOI 10.1016/j.agsy.2024.103994
   Flato M, 2023, J SOC POLICY, V52, P923, DOI 10.1017/S0047279421001057
   Fonseca JA, 2017, COMPUT ENVIRON URBAN, V62, P136, DOI 10.1016/j.compenvurbsys.2016.11.001
   Foster JB, 2020, MON REV, V72, P1
   Fujii Hidemichi, 2013, J Environ Sci (China), V25 Suppl 1, pS20, DOI 10.1016/S1001-0742(14)60619-7
   Gao J, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2023.100394
   Gong K., 2024, Sci. Total Environ., V945
   [郭政 Guo Zheng], 2019, [中国环境科学, China Environmental Science], V39, P1323
   Hu H, 2024, ENVIRON IMPACT ASSES, V106, DOI 10.1016/j.eiar.2024.107540
   Hu H, 2023, PHYS CHEM EARTH, V129, DOI 10.1016/j.pce.2023.103360
   Hu XJ, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107464
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Jia JS, 2019, ENERG EFFIC, V12, P2161, DOI 10.1007/s12053-019-09814-x
   Jia XY, 2021, SUSTAIN ENERGY TECHN, V44, DOI 10.1016/j.seta.2021.101021
   Jin G, 2023, J GEOGR SCI, V33, P217, DOI 10.1007/s11442-023-2079-9
   Kabir M, 2023, J KING SAUD UNIV SCI, V35, DOI 10.1016/j.jksus.2023.102693
   Li SL, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12101726
   Li WJ, 2023, J ENVIRON MANAGE, V327, DOI 10.1016/j.jenvman.2022.116921
   Lv TG, 2023, POL J ENVIRON STUD, V32, P4161, DOI 10.15244/pjoes/166166
   Matsumoto K, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108072
   McLaren D., 1992, Built Environment, V18, P268
   MEE, 2022, Environmental Protection
   Metti G., 1999, Beverage World, P82
   Ministry of Civil Affairs of the People's Republic of China, 2018, Statistical Bulletin on the Development of Social Services 2017
   Nakano M, 2020, INT J LOGIST-RES APP, V23, P443, DOI 10.1080/13675567.2019.1704707
   Neumayer E., 2003, Weak versus Strong Sustainability: Exploring the Limits of Two Opposing Paradigms
   Ogaki M, 2022, JPN ECON REV, V73, P433, DOI 10.1007/s42973-022-00113-2
   Ozdemir S, 2024, ENVIRON IMPACT ASSES, V108, DOI 10.1016/j.eiar.2024.107607
   Persenius M, 2015, J NURS MANAGE, V23, P705, DOI 10.1111/jonm.12199
   Raworth K., 2017, Doughnut economics: seven ways to think like a 21st-century economist
   Ren YF, 2022, J CLEAN PROD, V373, DOI 10.1016/j.jclepro.2022.133878
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rudd MA, 2015, PEERJ, V3, DOI 10.7717/peerj.1424
   Samper JA, 2021, POLITICS GOV, V9, P8, DOI 10.17645/pag.v9i2.3853
   Shang L, 2022, FRONT ENERGY RES, V10, DOI 10.3389/fenrg.2022.926443
   Song CZ, 2022, ENVIRON SCI POLLUT R, V29, P4334, DOI 10.1007/s11356-021-15964-2
   Song YZ, 2020, GISCI REMOTE SENS, V57, P593, DOI 10.1080/15481603.2020.1760434
   Song YG, 2022, TECHNOL FORECAST SOC, V185, DOI 10.1016/j.techfore.2022.122054
   Ssennyonjo A, 2022, BMJ GLOB HEALTH, V7, DOI 10.1136/bmjgh-2021-007990
   Tian ZG, 2023, ENVIRON SCI POLLUT R, V30, P52624, DOI 10.1007/s11356-023-26045-x
   Tietenberg T., 2018, ENV NATURAL RESOURCE
   UNEP, 2023, UN Environment Programme Annual Report 2022
   Usman O, 2020, CURR ISSUES TOUR, V23, P2103, DOI 10.1080/13683500.2019.1635092
   van Damme J, 2012, PUBLIC ADMIN, V90, P1047, DOI 10.1111/j.1467-9299.2011.02014.x
   Wang Q, 2023, J GLOB HEALTH, V13, DOI 10.7189/jogh.13.04137
   Wu QH, 2023, ECON ANAL POLICY, V77, P1103, DOI 10.1016/j.eap.2022.11.024
   Wu XF, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110196
   Ye CH, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0255072
   Zhang LL, 2018, CITIES, V78, P96, DOI 10.1016/j.cities.2018.02.001
   Zhang XL, 2020, GROWTH CHANGE, V51, P792, DOI 10.1111/grow.12376
   Zhang XM, 2024, SCI TOTAL ENVIRON, V922, DOI 10.1016/j.scitotenv.2024.171149
   Zhang XM, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101698
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhou B, 2021, J CHIN GOV, V6, P435, DOI 10.1080/23812346.2021.1888472
   Zhu DJ, 2017, CHIN J POPUL RESOUR, V15, P8, DOI 10.1080/10042857.2017.1286147
NR 71
TC 2
Z9 2
U1 5
U2 9
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1474-7065
EI 1873-5193
J9 PHYS CHEM EARTH
JI Phys. Chem. Earth
PD DEC
PY 2024
VL 136
AR 103725
DI 10.1016/j.pce.2024.103725
EA SEP 2024
PG 12
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA G1V0C
UT WOS:001314572500001
DA 2025-04-22
ER

PT J
AU Jiménez-Medina, P
   Artal-Tur, A
   Sánchez-Casado, N
AF Jimenez-Medina, Pilar
   Artal-Tur, Andres
   Sanchez-Casado, Noelia
TI Tourism Business, Place Identity, Sustainable Development, and Urban
   Resilience: A Focus on the Sociocultural Dimension
SO INTERNATIONAL REGIONAL SCIENCE REVIEW
LA English
DT Article
DE mining business; urban resilience; place identity; tourism
   sustainability; sociocultural dimension; structural equation modeling
ID QUALITY-OF-LIFE; RESIDENTS PERCEPTIONS; HERITAGE TOURISM; COMMUNITY;
   ATTITUDES; CAPACITY; INNOVATION; SUPPORT; MODELS; COAST
AB La Union is a city located in the southeast of Spain with a long mining tradition. Along the twentieth century, this place faced a severe industrial crisis. Building on its history, heritage, and resources, the local economy changed towards the mining heritage tourism business. This article describes such a process of sustainable development and urban resilience through a two-stage approach. First, the focus is on explaining how the locality moved from being a mining industrial area to a mining heritage tourism place. In doing so, the study highlights the key role played by the cooperation of the local government and the nearby university. The second stage shows how the new economic model is firmly rooted on the mining identity of the place and what provides higher levels of sustainability to the destination from a social and cultural view. In this context, the article shows how the place identity model of tourism would be eager to limit the negative impacts usually associated with the spread of tourism, consequently receiving further support by the local population. To better understand the second-stage process, the study defines a theoretical framework and tests it empirically through a structural equation modeling approach. Results of the research provide regional policy advices.
C1 [Jimenez-Medina, Pilar; Artal-Tur, Andres; Sanchez-Casado, Noelia] Univ Politecn Cartagena, Fac Business Studies, C Real 3, Cartagena 30201, Spain.
C3 Universidad Politecnica de Cartagena
RP Artal-Tur, A (corresponding author), Univ Politecn Cartagena, Fac Business Studies, C Real 3, Cartagena 30201, Spain.
EM andres.artal@upct.es
RI Artal-Tur, Andres/M-2202-2018
OI Artal-Tur, Andres/0000-0003-3423-8570
FU Groups of Excellence of the Region of Murcia, Fundacion Seneca, Science
   and Technology Agency, Spain [19884/GERM/15]
FX The author(s) disclosed the receipt of the following financial support
   for the research, authorship, and/or publication of this article: Groups
   of Excellence of the Region of Murcia, Fundacion Seneca, Science and
   Technology Agency, Spain, Project 19884/GERM/15.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alberti M, 1996, ENVIRON IMPACT ASSES, V16, P381, DOI 10.1016/S0195-9255(96)00083-2
   Alector-Ribeiro M., 2017, TOURISM MANAGE, V61, P523
   Almeida-García F, 2016, TOURISM MANAGE, V54, P259, DOI 10.1016/j.tourman.2015.11.007
   Althman I., 1992, PLACE ATTACHMENT CON
   Andereck KL, 2011, J TRAVEL RES, V50, P248, DOI 10.1177/0047287510362918
   Andereck KL, 2005, ANN TOURISM RES, V32, P1056, DOI 10.1016/j.annals.2005.03.001
   Andreu M., 1992, MEMORIAS PATRIMONIO, P165
   Andriotis K., 2003, Journal of Travel Research, V42, P172, DOI 10.1177/0047287503257488
   [Anonymous], 2011, INE POP CENS
   [Anonymous], 2018, UNWTO Tourism Highlights, V2018
   [Anonymous], 2017, INE ANN REPORT
   Artal-Tur A., 2019, CULTURE CULTURES TOU
   Arup R. P. A., 2020, RESILIENCE SUSTAINAB
   Auge Marc., 1992, Non-lieux
   Balcar MJO, 1996, TOURISM MANAGE, V17, P203, DOI 10.1016/0261-5177(96)00007-6
   Bandura A., 1997, EFFICACY EXERCISE CO, DOI [10.1891/08898391.13.2.158, DOI 10.1891/08898391.13.2.158]
   Bauman Zygmunt., 2004, IDENTITY
   Benitez-Amado J., 2012, 33 INT C INF SYST OR, P1
   Berrocal M, 2006, CARTA ARQUEOLOGICA T
   Berrocal M., 2005, BOCAMINA PATRIMONIO, P145
   Besculides A, 2002, ANN TOURISM RES, V29, P303, DOI 10.1016/S0160-7383(01)00066-4
   Boley BB, 2014, TOURISM MANAGE, V45, P85, DOI 10.1016/j.tourman.2014.04.003
   Bott S., 2003, HUM ECOL REV, V10, P100
   Brandt P, 2013, ECOL ECON, V92, P1, DOI 10.1016/j.ecolecon.2013.04.008
   Breakwell G. M., 1996, SOCIAL PSYCHOL IDENT
   Bestard AB, 2007, TOURISM MANAGE, V28, P688, DOI 10.1016/j.tourman.2006.04.004
   Burch S, 2007, CLIM POLICY, V7, P304, DOI 10.1080/14693062.2007.9685658
   Campbell S.D., 2013, Michigan Journal of Sustainability, V1, P75, DOI DOI 10.3998/MJS.12333712.0001.007
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   Chin W.W., 2009, HDB PARTIAL LEAST SQ, P655, DOI DOI 10.1007/978-3-540-32827-829
   Choi HwanSuk [Choi H. S. C.], 2005, Journal of Travel Research, V43, P380, DOI 10.1177/0047287505274651
   Choi HC, 2010, J SUSTAIN TOUR, V18, P575, DOI 10.1080/09669580903524852
   COHEN E, 1988, ANN TOURISM RES, V15, P29, DOI 10.1016/0160-7383(88)90069-2
   Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dyer P, 2007, TOURISM MANAGE, V28, P409, DOI 10.1016/j.tourman.2006.04.002
   Edwards JA, 1996, ANN TOURISM RES, V23, P341, DOI 10.1016/0160-7383(95)00067-4
   Eurostat, 2018, KEY FIG EUR 2018 STA
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Fong LHN, 2013, EUR J TOUR RES, V6, P211, DOI 10.1016/j.lrp.2013.01.002
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Gu HM, 2008, TOURISM MANAGE, V29, P637, DOI 10.1016/j.tourman.2007.06.006
   Hatch MJ, 2002, HUM RELAT, V55, P989, DOI 10.1177/0018726702055008181
   Henseler J, 2015, J ACAD MARKET SCI, V43, P115, DOI 10.1007/s11747-014-0403-8
   Henseler J, 2009, ADV INT MARKETING, V20, P277, DOI 10.1108/S1474-7979(2009)0000020014
   Jones L, 2019, WORLD DEV, V124, DOI 10.1016/j.worlddev.2019.104632
   Joo D, 2019, TOUR MANAG PERSPECT, V31, P231, DOI 10.1016/j.tmp.2019.05.008
   Jurowski C, 2004, ANN TOURISM RES, V31, P296, DOI 10.1016/j.annals.2003.12.005
   Kim K, 2013, TOURISM MANAGE, V36, P527, DOI 10.1016/j.tourman.2012.09.005
   Klenk NL, 2015, FOREST POLICY ECON, V61, P77, DOI 10.1016/j.forpol.2015.06.008
   Laclau Ernesto., 1996, Journal of Political Ideologies, V1, P201
   Lewicka D, 2013, INT J INNOV LEARN, V14, P217, DOI 10.1504/IJIL.2013.055525
   Liang ZX, 2016, TOURISM MANAGE, V57, P56, DOI 10.1016/j.tourman.2016.05.001
   Manteca J.I., 1997, II-Congreso Empresarial C.O.E.C. (confederacion Comarcal de Organizaciones Empresariales de Cartagena), P181
   Manzo LC, 2003, J ENVIRON PSYCHOL, V23, P47, DOI 10.1016/S0272-4944(02)00074-9
   Marques-Nunes D., 2019, J ENVIRON MANAGE, V244, P423
   McGehee N. G., 2004, Journal of Travel Research, V43, P131, DOI 10.1177/0047287504268234
   McGehee NG, 2008, JOURNEYS OF DISCOVERY IN VOLUNTEER TOURISM: INTERNATIONAL CASE STUDY PERSPECTIVES, P12, DOI 10.1079/9781845933807.0012
   McGuire F. A., 1984, Leisure Sciences, V6, P313, DOI 10.1080/01490408409513038
   Nunkoo R, 2012, ANN TOURISM RES, V39, P243, DOI 10.1016/j.annals.2011.05.006
   Palmer A, 2013, TOURISM MANAGE, V38, P142, DOI 10.1016/j.tourman.2013.02.019
   Ringle CM, 2015, SmartPLS
   Rogers SC, 2002, FR HIST STUD, V25, P475, DOI 10.1215/00161071-25-3-475
   Romero-Lankao P, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121224
   Romero-Lankao P, 2013, ENVIRON PLANN C, V31, P785, DOI 10.1068/c12173
   Ballesteros ER, 2007, TOURISM MANAGE, V28, P677, DOI 10.1016/j.tourman.2006.03.001
   Scannell Leila., 2014, Place attachment: Advances in theory, methods and applications, P23
   Sharpley R, 2014, TOURISM MANAGE, V42, P37, DOI 10.1016/j.tourman.2013.10.007
   Stets JE, 2003, SOCIOL THEOR, V21, P398, DOI 10.1046/j.1467-9558.2003.00196.x
   Stokburger-Sauer NE, 2011, TOURISM MANAGE, V32, P1282, DOI 10.1016/j.tourman.2010.12.004
   Stylidis D, 2014, TOURISM MANAGE, V45, P260, DOI 10.1016/j.tourman.2014.05.006
   Turner J.C., 1982, SOCIAL IDENTITY INTE, P15
   TwiggerRoss CL, 1996, J ENVIRON PSYCHOL, V16, P205, DOI 10.1006/jevp.1996.0017
   Ujang N., 2010, Asian Journal of Environment-Behaviour Studies, P61
   UNWTO, 2019, OV UND MAN URB TOUR
   Uysal M, 2016, TOURISM MANAGE, V53, P244, DOI 10.1016/j.tourman.2015.07.013
   Uzzell D., 1995, The International Journal of Heritage Studies, V1, P4
   Vargas-Sánchez A, 2009, J TRAVEL RES, V47, P373, DOI 10.1177/0047287508322783
   Vargas-Sánchez A, 2015, TOURISM MANAGE, V48, P199, DOI 10.1016/j.tourman.2014.11.005
   Wang SS, 2015, ANN TOURISM RES, V52, P16, DOI 10.1016/j.annals.2015.02.016
   Wang Z, 2011, BIOL CONSERV, V144, P101, DOI 10.1016/j.biocon.2010.06.025
   Wetzels M, 2009, MIS QUART, V33, P177, DOI 10.2307/20650284
NR 83
TC 14
Z9 15
U1 9
U2 82
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0160-0176
EI 1552-6925
J9 INT REGIONAL SCI REV
JI Int. Reg. Sci. Rev.
PD JAN
PY 2021
VL 44
IS 1
SI SI
BP 170
EP 199
AR 0160017620925130
DI 10.1177/0160017620925130
EA MAY 2020
PG 30
WC Environmental Studies; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration; Urban Studies
GA PF2IT
UT WOS:000534502800001
DA 2025-04-22
ER

PT J
AU Herrador, M
   de Jong, W
   Nasu, K
   Granrath, L
AF Herrador, Manuel
   de Jong, Wil
   Nasu, Kiyokazu
   Granrath, Lorenz
TI Designing a circular cities declaration for Japan building on the
   European Union's case study
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Circular economy; Circular cities declaration; Japan; Circular policy
   transition; Triple-axis methodology; Urban sustainability
AB Japan is progressing towards its circular economy (CE) goals as many of its cities have adopted circular city (CC) policies and programs, although further progress is constrained as a result of the lack of a common framework. A novel framework was proposed with the "European circular cities declaration" (ECCD) (2020), consisting of a list of 10 principles committing to integrate circularity into the city's design, development, and management. As a foremost finding, and building on the authors' previous studies of Japan's CE and CC, this work shaped a circular cities declaration (CCD) for Japan following a triple-axis methodology; It (1) evaluates the ECCD as a baseline, (2) adapts it to Japan's unique socio-economic landscape, and (3) considers the three pillars of sustainable development, offering practical guidance for governments facing similar challenges. This environmental management tool goes beyond the EU one providing a model of hybrid governance and monitoring and evaluation mechanism. The resulting declaration is intended for the government to facilitate a transition from insulated CE policies to holistic CC ones, but also for businesses, academia, and communities; Thus, it may aid in endorsing a cities' common framework and shared vision to harness the potential of CC to address environmental issues, foster innovation and collaboration toward a resilient future in Japan.
C1 [Herrador, Manuel] Univ Jaen, Polytech Sch Jaen, Campus Las Lagunillas, Jaen 23071, Spain.
   [de Jong, Wil] Univ Freiburg, Chair Silviculture, Stefan Meier Str 76, D-79104 Freiburg, Germany.
   [de Jong, Wil] Renmin Univ China, Sch Agr Econ & Rural Dev, Beijing, Peoples R China.
   [de Jong, Wil] Renmin Univ China, 59 Zhongguancun St, Beijing 100872, Peoples R China.
   [Nasu, Kiyokazu] Circle Design Co Ltd, 3-30-10-2F Matsubara Setagaya Ku, Tokyo 1560043, Japan.
   [Granrath, Lorenz] Waseda Univ, Lab Biosolid State Sci, Asahi Lab, TWIns, 2-2 Wakamatsu Cho,Shinjyuku Ku, Tokyo 1628480, Japan.
C3 Universidad de Jaen; University of Freiburg; Renmin University of China;
   Renmin University of China; Waseda University
RP Herrador, M (corresponding author), Univ Jaen, Polytech Sch Jaen, Campus Las Lagunillas, Jaen 23071, Spain.
EM mherrador@ujaen.es; dejongwil@gmail.com; knasu@circledesign.co.jp;
   lorenz.granrath@mac.com
RI de Jong, Wil/U-7159-2019; Herrador Munoz, Manuel/LMN-7222-2024
OI de Jong, Wil/0000-0002-5652-3375; Granrath, Lorenz/0000-0001-8582-3951;
   Herrador Munoz, Manuel/0000-0003-3964-2513
CR Altura TG, 2021, SOC SCI JPN J, V24, P137, DOI 10.1093/ssjj/jyaa041
   Amicarelli V, 2023, ENVIRONMENTS, V10, DOI 10.3390/environments10040065
   Arranz CFA, 2023, J ENVIRON MANAGE, V340, DOI 10.1016/j.jenvman.2023.117906
   Bangert H., 2020, JAPAN'S CIRCULARITY A Panorama of Japanese Policy, Innovation, Technology and Industry Contributions towards Achieving the Paris Agreement
   Barrett David, 2020, Evid Based Nurs, V23, P68, DOI 10.1136/ebnurs-2020-103303
   Brown S, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118648
   CEHUB (Circular Economy Hub), 2023, Circular economy Hub of Japan
   Chen PY, 2023, J CLEAN PROD, V416, DOI 10.1016/j.jclepro.2023.137893
   Christensen TB, 2021, J CLEAN PROD, V305, DOI 10.1016/j.jclepro.2021.127058
   Chun YY, 2022, SUSTAIN PROD CONSUMP, V33, P158, DOI 10.1016/j.spc.2022.06.015
   Circular Cities Declaration (CCD), 2023, CIRCULAR CITIES Declaration is managed by ICLEI Europe
   Circular Cities Declaration (CCD), 2022, Circular cities declaration report 2022
   Dagestani Abd Alwahed, 2022, IEEE Engineering Management Review, P203, DOI 10.1109/EMR.2022.3210465
   Darnall N., 2018, SSRN ELECT J, DOI [10.2139/ssrn.4002036, DOI 10.2139/SSRN.4002036]
   EC (European Commission), 2024, Horizon Europe - how to apply
   EC (European Commission), 2021, The EU research & innovation programme 2021 - 2027
   EC (European Commission), 2022, European Declaration on Digital Rights and Principles
   EUJCFIC (EU-Japan Centre for Industrial Cooperation), 2021, Government procurement & circular economy
   European Commission (EC), 2020, The circular cities and regions initiative
   FSST (Fujisawa Sustainable Smart Town), 2023, Fujisawa sustainable smart town
   Gokhale H, 2021, CURR RES ENVIRON SUS, V3, DOI 10.1016/j.crsust.2021.100082
   Halada K, 2020, INT J AUTO TECH-JPN, V14, P867, DOI 10.20965/ijat.2020.p0867
   Herrador M, 2023, SCI TOTAL ENVIRON, V894, DOI 10.1016/j.scitotenv.2023.165052
   Herrador M, 2022, SCI TOTAL ENVIRON, V820, DOI 10.1016/j.scitotenv.2022.153274
   Hina M, 2023, BUS STRATEG ENVIRON, V32, P6182, DOI 10.1002/bse.3480
   Husgafvel R, 2022, WORLD-BASEL, V3, P1, DOI 10.3390/world3010001
   JE4CE (Japan Partnership for Circular Economy), 2023, Japan partnership for circular economy - about
   Johansson N, 2021, ENVIRON SCI TECHNOL, V55, P15001, DOI 10.1021/acs.est.1c06194
   Josa I, 2023, J ENVIRON MANAGE, V341, DOI 10.1016/j.jenvman.2023.118020
   Keidanren (Japan Business Federation), 2021, Shaping the future with circular economy
   Koseoglu-Imer DY, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118627
   Lin ZJ, 2018, LANDSCAPE URBAN PLAN, V179, P90, DOI 10.1016/j.landurbplan.2018.07.008
   Mangukiya R. D., 2023, World Dev. Sustain., V2, P100058, DOI [DOI 10.1016/J.WDS.2023.100058, https://doi.org/10.1016/j.wds.2023.100058]
   METI (Ministry of Economy Trade and Industry), 2021, Green growth strategy through achieving carbon neutrality in 2050
   Ministry of Economy and industry, 2020, Comparing the cost of the basket of selected products
   MLIT (Ministry of Land Infrastructure Transport and Tourism), 2018, Guidelines for Sustainable Urban Development
   MOE (Ministry of Environment), 2008, ECO-FIRST program
   MOE (Ministry of the Environment), 2021, Promoting the Circular Economy
   MOFA (Ministry of Foreign Affairs), 2021, Towards a Green Alliance to protect our environment, stop climate change and achieve green growth
   MOFA (Ministry of Foreign Affairs), 2020, Japan's SDGs action plan
   Montag L, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065374
   Muñoz HME, 2022, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.787076
   NEDO (New Energy and Industrial Technology Development Organization), 2023, Overview of the Green Innovation Fund Projects
   Oates S., 2015, The Onlife Manifesto, P275, DOI [10.1007/978-3-319-04093-622, DOI 10.1007/978-3-319-04093-622]
   OECD (Organization for Economic Cooperation and Development), 2019, 1st OECD roundtable on the circular economy in cities and regions
   Ogunmakinde OE, 2019, RECYCLING-BASEL, V4, DOI 10.3390/recycling4030027
   Portugaise MK, 2023, DISCOV SUSTAIN, V4, DOI 10.1007/s43621-023-00124-y
   Prendeville S, 2018, ENVIRON INNOV SOC TR, V26, P171, DOI 10.1016/j.eist.2017.03.002
   Salvioni DM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208641
   Soretz S, 2023, Reference module in social sciences, DOI [10.1016/B978-0-44-313776-1.00030-1, DOI 10.1016/B978-0-44-313776-1.00030-1]
   Stahel WR, 2016, NATURE, V531, P435, DOI 10.1038/531435a
   Steenmans K, 2023, RESOUR CONSERV RECY, V195, DOI 10.1016/j.resconrec.2023.107016
   Sugimura Y, 2023, SUSTAIN PROD CONSUMP, V35, P275, DOI 10.1016/j.spc.2022.11.007
   Takabatake T, 2022, LAND-BASEL, V11, DOI 10.3390/land11101781
   Umeda Y, 2020, INT J AUTO TECH-JPN, V14, P857, DOI 10.20965/ijat.2020.p0857
   UNEP, 2023, 2 SESS INT NEG COMM
   WBCSD, 2022, Circular Transition Indicators V3.0
   YSCP (Yokohama Smart City Project), 2023, About us
   Yuan S, 2023, J ENVIRON MANAGE, V341, DOI 10.1016/j.jenvman.2023.118082
   Yudah O.A., 2019, International Journal of Scientific and Research Publications, V9, P1, DOI [10.29322/IJSRP.9.04.2019.p8851, DOI 10.29322/IJSRP.9.04.2019.P8851]
NR 60
TC 2
Z9 2
U1 1
U2 4
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD MAY
PY 2024
VL 358
AR 120819
DI 10.1016/j.jenvman.2024.120819
EA APR 2024
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA C4R7Z
UT WOS:001289255800001
PM 38614008
DA 2025-04-22
ER

PT J
AU Barbieri, S
   Edwards, JHY
AF Barbieri, Stefano
   Edwards, John H. Y.
TI Middle-class flight from post-Katrina New Orleans: A theoretical
   analysis of inequality and schooling
SO REGIONAL SCIENCE AND URBAN ECONOMICS
LA English
DT Article
DE Local public goods; Inequality; Disasters; Income distribution;
   Education; Resilience
ID HURRICANE-KATRINA; GOING HOME; MIGRATION; ECONOMICS; EQUILIBRIUM
AB We present a model of urban resilience where the pattern of disaster recovery is defined by forcibly evacuating the population of a city and then allowing people to return voluntarily. The model predicts the post-disaster population composition of a city, changes in its income distribution and citizen welfare, and changes in the level of public goods. Plausible ex-ante assumptions about urban characteristics lead to a post-disaster city that is smaller, more skill-intensive, and with higher mean educational attainment. The evolution of income inequality is more complex, even though unskilled wages rise, middle-class flight may cause income distribution to worsen. The analysis of disasters' long term impact on fiscal structure and on demographic, income, and human capital distribution, illustrates the interplay of major determinants of resilience after a natural disaster. A stylized New Orleans around the time of its 2005 Katrina disaster is incorporated for realism and used as an example throughout. Predicted changes are broadly consistent with observed effects of Katrina on New Orleans.
C1 [Barbieri, Stefano; Edwards, John H. Y.] Tulane Univ, Dept Econ, 206 Tilton Hall, New Orleans, LA 70118 USA.
C3 Tulane University
RP Edwards, JHY (corresponding author), Tulane Univ, Dept Econ, 206 Tilton Hall, New Orleans, LA 70118 USA.
EM sbarbier@tulane.edu; edwards@tulane.edu
CR ALBALABERTRAND JM, 1993, WORLD DEV, V21, P1417, DOI 10.1016/0305-750X(93)90122-P
   Anbarci N, 2005, J PUBLIC ECON, V89, P1907, DOI 10.1016/j.jpubeco.2004.08.002
   [Anonymous], 2015, The Huffington Post
   [Anonymous], 2015, DO SCH LEADERS RESPO
   [Anonymous], 2015, Bloomberg
   Bagnoli M, 2005, ECON THEOR, V26, P445, DOI 10.1007/s00199-004-0514-4
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Bearse P., 2005, J PUBLIC ECON THEORY, V7, P561, DOI DOI 10.1111/JPET.2005.7.ISSUE-4
   Berger A., 2008, RISKING HOUSE HOME D
   Berliant M., 2004, J PUBLIC ECON THEORY, V6, P43
   Bliss Laura, 2015, ATLANTIC
   Bosello F, 2007, ENVIRON RESOUR ECON, V37, P549, DOI 10.1007/s10640-006-9048-5
   Buchanan JamesM., 1972, J PUBLIC ECON, V1, P25
   Cohen C, 2008, J CONFLICT RESOLUT, V52, P795, DOI 10.1177/0022002708322157
   Conley JP, 2002, J PUBLIC ECON, V86, P243, DOI 10.1016/S0047-2727(01)00082-2
   Cornes R.Sandler., 1986, THEORY EXTERNALITIES, VFirst
   Fussell E, 2010, POPUL ENVIRON, V31, P20, DOI 10.1007/s11111-009-0092-2
   Geagham K. A., 2011, 201117 SEHSD US CENS
   GNO, 2013, GREAT NEW ORL URB WA
   Gradstein M, 1996, INT TAX PUBLIC FINAN, V3, P297
   Groen JA, 2008, AM ECON REV, V98, P43, DOI 10.1257/aer.98.2.43
   Groen JA, 2010, DEMOGRAPHY, V47, P821, DOI 10.1007/BF03214587
   Healy A, 2009, AM POLIT SCI REV, V103, P387, DOI 10.1017/S0003055409990104
   Jabbar Huriya, 2015, TECHNICAL REPORT
   Kane EJ, 1996, J RISK UNCERTAINTY, V12, P189, DOI 10.1007/BF00055793
   Kuminoff NV, 2013, J ECON LIT, V51, P1007, DOI 10.1257/jel.51.4.1007
   Landry CE, 2007, SOUTH ECON J, V74, P326, DOI 10.2307/20111970
   Louisiana Department of Education, 2006, PUBL SCH OP SCHED SP
   Louisiana Tax Commission, 2008, ANN REP 2008
   Louisiana Tax Commission, 2003, 31 LOUIS TAX COMM
   Louisiana Tax Commission, 2014, LOUIS TAX COMM ANN R
   Louisiana Tax Commission, 2007, 33 LOUIS TAX COMM
   Louisiana Tax Commission, 2005, 32 LOUIS TAX COMM
   McIntosh MF, 2008, AM ECON REV, V98, P54, DOI 10.1257/aer.98.2.54
   Nordhaus WD, 2010, CLIM CHANG ECON, V1, DOI 10.1142/S2010007810000054
   Paxson C, 2008, AM ECON REV, V98, P38, DOI 10.1257/aer.98.2.38
   Pelling M., 2004, Reducing disaster risk: A challenge for development. UNDP global report
   Plyer A., 2015, NEIGHBORHOOD RECOVER
   Ruggles S., 2010, INTEGRATED PUBLIC US
   Sastry Narayan, 2008, 08637 U MICH POP STU
   Scotchmer S., 2002, HDB PUBLIC EC, P1997
   Sebelius K., 2015, BOSTON GLOBE
   Shaughnessy T., 2010, Journal of Regional Analysis Policy, V40, P84
   Shrinath N., 2015, STANFORD SOC INNOV R
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   The Data Center, 2015, NEIGHB REC RAT GROWT
   TIEBOUT CM, 1956, J POLIT ECON, V64, P416, DOI 10.1086/257839
   U. S. Census Bureau, 2008, SPEC POP EST IMP COU
   US Bureau of the Census, 2015, AM FACT FIND
   Wildasin DE, 2008, PUBLIC FINANC REV, V36, P497, DOI 10.1177/1091142107306286
   Wolshon B., 2006, BRIDGE NATL ACAD ENG, V36, P27
   WOODERS M, 1978, J ECON THEORY, V18, P328, DOI 10.1016/0022-0531(78)90087-X
   WOODERS M, 1980, ECONOMETRICA, V48, P1467, DOI 10.2307/1912819
   Zeckhauser R, 1996, J RISK UNCERTAINTY, V12, P113, DOI 10.1007/BF00055789
NR 55
TC 4
Z9 4
U1 0
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0166-0462
EI 1879-2308
J9 REG SCI URBAN ECON
JI Reg. Sci. Urban Econ.
PD MAY
PY 2017
VL 64
BP 12
EP 29
DI 10.1016/j.regsciurbeco.2017.01.005
PG 18
WC Economics; Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Urban Studies
GA EU9XR
UT WOS:000401393500002
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Cagno, E
   De Ambroggi, M
   Grande, O
   Trucco, P
AF Cagno, Enrico
   De Ambroggi, Massimiliano
   Grande, Ottavio
   Trucco, Paolo
TI Risk analysis of underground infrastructures in urban areas
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Critical infrastructures; Interoperability analysis; Societal risk
AB The paper presents an integrated approach for vulnerability and resilience analysis for underground infrastructures, i.e. a societal risk analysis of the failures of underground services for an urban area. The approach is based on the detailed study of (1) domino-effects for the components of a single infrastructure and for a given set of infrastructures interoperated and/or belonging to the same area; (2) risk and vulnerability analysis of a given area; (3) identification of a set of intervention guidelines, in order to improve the overall system resilience. The use of an integrated (interoperability and area) approach, breaking down the analysis area extent into sub-areas and assessing the dependencies among sub-areas both in terms of interoperability and damage propagation of critical infrastructures, demonstrates a useful advantage in terms of resilience analysis, more consistent with the "zoned" nature of failures of the underground infrastructures. An applied case, describing the interoperability and damage propagation analysis with the evaluation of time-dependency for the infrastructures and targets and of different kinds of interventions of the underground infrastructures of a town, is presented for this purpose. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Cagno, Enrico; De Ambroggi, Massimiliano; Grande, Ottavio; Trucco, Paolo] Politecn Milan, Dept Management Econ & Ind Engn, I-20132 Milan, Italy.
C3 Polytechnic University of Milan
RP Cagno, E (corresponding author), Politecn Milan, Dept Management Econ & Ind Engn, Piazza Leonardo da Vinci 32, I-20132 Milan, Italy.
EM Enrico.Cagno@PoliMI.it
RI Trucco, Paolo/B-9781-2013; Cagno, Enrico/B-7267-2013
OI Cagno, Enrico/0000-0001-8954-5928
CR [Anonymous], 2008, INT CIIP HDB 2008 20
   [Anonymous], 1997, REPORT PRESIDENTS CO
   [Anonymous], 2003, National strategy for the physical protection of critical infrastructures and key assets
   AVEN T, 2008, RELIABILITY ENG SYST
   Aven T, 2007, RELIAB ENG SYST SAFE, V92, P745, DOI 10.1016/j.ress.2006.03.008
   BOSCH JMJ, 1999, NL ARMS NETHERLANDS
   CAGNO E, 2008, P 3 RES ENG S ANT FR
   CAGNO E, 2009, ESREL C
   Carter DA, 2000, J HAZARD MATER, V71, P117, DOI 10.1016/S0304-3894(99)00075-8
   Cobb A., 1997, AUSTR VULNERABILITY
   Cozzani V, 2005, J HAZARD MATER, V127, P14, DOI 10.1016/j.jhazmat.2005.07.003
   EGIDI D, 1995, RELIAB ENG SYST SAFE, V49, P75, DOI 10.1016/0951-8320(95)00026-X
   HAIMES YY, 2001, J INFRASTRUCTURE SYS, V7
   HAIMES YY, 2005, J INFRASTRUCTURE SYS, V11
   HELLSTROM T, 2008, TECHNOL SOC, V25, P369
   IRGC-International Risk Governance Council, 2007, POL BRIEF MAN RED SO
   Johansson A, 2009, SAFETY SCI, V47, P680, DOI 10.1016/j.ssci.2008.09.008
   KROGER W, 2008, RELIABILITY ENG SYST
   Leontief W., 1986, Input-output economics
   Lian CY, 2007, RISK ANAL, V27, P1053, DOI 10.1111/j.1539-6924.2007.00943.x
   Luiijf H. A. M., 1999, EICAR 1999 BEST PAP
   LUIIJF HAM, 2003, P C BEST PAP P
   LUIIJF HAM, 1999, NL ARMS NETHERLANDS
   MOORE DA, 2005, J HAZARDOUS MAT, V130
   SETOLA R, 2007, INT J NETWORKING VIR, V4
   Snediker DE, 2008, DECIS SUPPORT SYST, V44, P954, DOI 10.1016/j.dss.2007.11.003
   Snyder L., 2009, FRAMEWORK CRITICAL I
   Spadoni G, 2000, J HAZARD MATER, V71, P423, DOI 10.1016/S0304-3894(99)00091-6
NR 28
TC 35
Z9 38
U1 5
U2 47
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0951-8320
EI 1879-0836
J9 RELIAB ENG SYST SAFE
JI Reliab. Eng. Syst. Saf.
PD JAN
PY 2011
VL 96
IS 1
SU SI
BP 139
EP 148
DI 10.1016/j.ress.2010.07.011
PG 10
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Operations Research & Management Science
GA 691KR
UT WOS:000285079200013
DA 2025-04-22
ER

PT J
AU Ma, YC
   Jiang, Y
AF Ma, Yongchi
   Jiang, Yong
TI Mainstreaming the framework of ecosystem services to enhance China's
   policy implementation for sponge city development
SO SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE ecosystem services; flooding; low-impact development; sponge city; urban
   sustainability; water resilience
ID URBAN; CHALLENGES; MANAGEMENT; GUIDELINES; PATTERNS; DESIGN; IMPACT
AB China introduced sponge city development (SCD) as a policy initiative to address the complex, interlinked water challenges, such as urban pluvial flooding and water pollution, faced by urban development under climatic change and rapid urbanization. The initiative relies on low-impact development (LID) techniques to integrate ecosystem conservation and urban development, with the aim to maintain or restore natural landscapes and their water regulating capacity as a way to mitigate urban flooding and associated pollution while augmenting water supply. While the country prepares for SCD demonstration and upscaling after pilot implementation since 2014, the initiative is subject to a design deficit in policy implementation that has received little consideration in both the literature and the policy arena but that negatively affects the effectiveness of SCD and its long run impact as intended by the policy. In this paper, we examine the design deficit by mapping and analyzing the policy implementation for SCD in the framework of theory of change (TOC). We present key conditions for individual components in SCD implementation to deliver causal pathways from program inputs to long-term impacts, with identified issues characterizing the design deficit. We provide an overview of the literature on SCD to shed some light on current research while identifying knowledge gaps. The paper proposes and justifies the framework of ecosystem services as an innovative design tool to deliver a systematic approach needed to address the design deficit, paving the pathways for SCD from inputs to impacts fully developing the policy potential for green urban transition with resilience and sustainability.
C1 [Ma, Yongchi] Shandong Univ, Inst State Governance, Sch Polit Sci & Publ Adm, Qingdao, Peoples R China.
   [Jiang, Yong] IHE Delft Inst Water Educ, Dept Water Resources & Ecosyst, Delft, South Holland, Netherlands.
   [Jiang, Yong] IHE Delft Inst Water Educ, NL-2611 AX Delft, South Holland, Netherlands.
C3 Shandong University; IHE Delft Institute for Water Education; IHE Delft
   Institute for Water Education
RP Jiang, Y (corresponding author), IHE Delft Inst Water Educ, NL-2611 AX Delft, South Holland, Netherlands.
EM y.jiang@un-ihe.org
RI Ma, Yongchi/GRR-5230-2022; jiang, yong/M-4318-2013
OI jiang, yong/0000-0001-6192-8206
FU Humanities and Social Science Fund of the Ministry of Education of China
   [21YJA630070]; Natural Science Foundation of Shandong Province of China
   [ZR2022MG006]; Social Risk Governance Research of Huangdao Second
   Jiaozhou Bay Tunnel Construction [SK210471]
FX ACKNOWLEDGMENTS This work was supported by the Humanities and Social
   Science Fund of the Ministry of Education of China (Grant No.
   21YJA630070), the Natural Science Foundation of Shandong Province of
   China (Grant No. ZR2022MG006), and the Social Risk Governance Research
   of Huangdao Second Jiaozhou Bay Tunnel Construction (SK210471). All
   opinions are the responsibility of the authors alone.
CR Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Almenar JB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104898
   Anna K, 2016, ECOSYST SERV, V22, P204, DOI 10.1016/j.ecoser.2015.04.006
   Bai XM, 2001, SUSTAIN DEV, V9, P24, DOI 10.1002/sd.149
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   BenDor TK, 2018, ENVIRON SCI POLICY, V88, P92, DOI 10.1016/j.envsci.2018.06.006
   BenDor TK, 2017, CITIES, V60, P260, DOI 10.1016/j.cities.2016.09.006
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Cortinovis C, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100946
   Cortinovis C, 2018, LAND USE POLICY, V70, P298, DOI 10.1016/j.landusepol.2017.10.017
   Costanza R, 2017, ECOSYST SERV, V28, P1, DOI 10.1016/j.ecoser.2017.09.008
   Di Marino M, 2019, LAND USE POLICY, V82, P643, DOI 10.1016/j.landusepol.2019.01.007
   Dobbs C, 2014, ECOL INDIC, V43, P44, DOI 10.1016/j.ecolind.2014.02.007
   Du SQ, 2015, WATER-SUI, V7, P1808, DOI 10.3390/w7051808
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   EPA, 2022, URB RUN LOW IMP DEV
   Fedele G, 2017, ECOSYST SERV, V28, P43, DOI 10.1016/j.ecoser.2017.09.011
   Felipe-Lucia MR, 2022, TRENDS ECOL EVOL, V37, P211, DOI 10.1016/j.tree.2021.11.012
   Fuenfschilling L, 2019, EUR PLAN STUD, V27, P219, DOI 10.1080/09654313.2018.1532977
   Gaston KJ, 2013, J APPL ECOL, V50, P830, DOI 10.1111/1365-2664.12087
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Griffiths J, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0222
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Han DM, 2016, ENVIRON POLLUT, V218, P1222, DOI 10.1016/j.envpol.2016.08.078
   He CY, 2017, REMOTE SENS ENVIRON, V193, P65, DOI 10.1016/j.rse.2017.02.027
   Hein L, 2006, ECOL ECON, V57, P209, DOI 10.1016/j.ecolecon.2005.04.005
   Islam A, 2021, J HYDROL, V599, DOI 10.1016/j.jhydrol.2021.126457
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Jiang Y, 2015, ENVIRON SCI POLICY, V54, P106, DOI 10.1016/j.envsci.2015.06.006
   Jiang Y, 2009, J ENVIRON MANAGE, V90, P3185, DOI 10.1016/j.jenvman.2009.04.016
   Kambo A, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100977
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Li C., 2017, CHINAS URBANIZATION
   Li H, 2017, WATER-SUI, V9, DOI 10.3390/w9090594
   Liu H, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6652-3
   Lundy L, 2011, PROG PHYS GEOG, V35, P653, DOI 10.1177/0309133311422464
   Ma Q, 2014, LANDSCAPE URBAN PLAN, V130, P36, DOI 10.1016/j.landurbplan.2014.06.009
   Ma YC, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.139078
   Mason P., 2007, EVALUATION-US, V13, P151, DOI DOI 10.1177/1356389007075221
   McDonald Robert I, 2011, Proc Natl Acad Sci U S A, V108, P6312, DOI 10.1073/pnas.1011615108
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Mexia T, 2018, ENVIRON RES, V160, P469, DOI 10.1016/j.envres.2017.10.023
   Ministry of Housing and Urban Rural Development, 2018, GBT513452018 MIN HOU
   Ministry of Housing and Urban Rural Development, 2022, 14 NAT PLANN URB INF
   Ministry of Housing and Urban Rural Development, 2014, ANN PUBL OUTL 2014 W
   Mitchell MGE, 2013, ECOSYSTEMS, V16, P894, DOI 10.1007/s10021-013-9647-2
   NBSC, 2018, China Statistical Yearbook 2018
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Pulighe G, 2016, ECOSYST SERV, V22, P1, DOI 10.1016/j.ecoser.2016.09.004
   Shen J., 2016, NINGBO EC, V3, P41
   Shi PJ, 2007, CATENA, V69, P31, DOI 10.1016/j.catena.2006.04.015
   Shoemaker DA, 2019, COMPUT ENVIRON URBAN, V74, P114, DOI 10.1016/j.compenvurbsys.2018.10.003
   Stein D., 2012, 1 JSRP LOND SCH EC P
   Su HN, 2010, SCIENTOMETRICS, V85, P65, DOI 10.1007/s11192-010-0259-8
   The United Nations High Level Panel on Water, 2016, EFF MOD RES INT URB
   Tratalos J, 2007, LANDSCAPE URBAN PLAN, V83, P308, DOI 10.1016/j.landurbplan.2007.05.003
   United Nations, 2017, RES AD GEN ASS 23 DE
   Wang H, 2018, SCI CHINA TECHNOL SC, V61, P317, DOI 10.1007/s11431-017-9170-5
   Wang SS, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100829
   Wang Y, 2022, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.772490
   Weitzman BC, 2009, AM J EVAL, V30, P495, DOI 10.1177/1098214009347555
   Wilkerson ML, 2018, ECOSYST SERV, V31, P102, DOI 10.1016/j.ecoser.2018.02.017
   Woodruff SC, 2016, LANDSCAPE URBAN PLAN, V152, P90, DOI 10.1016/j.landurbplan.2016.04.003
   Wu J.J., 2013, Ecological systems. Selected entries from the Encyclopedia of Sustainability Science and Technology, P179, DOI 10.1007/978-1-4614-5755-8_11
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Yin DK, 2021, J CLEAN PROD, V280, DOI 10.1016/j.jclepro.2020.124963
   Zhang K, 2018, SCI TOTAL ENVIRON, V621, P915, DOI 10.1016/j.scitotenv.2017.11.281
   Zhou XY, 2017, INT J CLIMATOL, V37, P4586, DOI 10.1002/joc.5107
NR 70
TC 3
Z9 4
U1 8
U2 53
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0968-0802
EI 1099-1719
J9 SUSTAIN DEV
JI Sustain. Dev.
PD AUG
PY 2023
VL 31
IS 4
BP 2291
EP 2306
DI 10.1002/sd.2506
EA FEB 2023
PG 16
WC Development Studies; Green & Sustainable Science & Technology; Regional
   & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Science & Technology - Other Topics; Public
   Administration
GA O0UU8
UT WOS:000922037100001
OA hybrid
DA 2025-04-22
ER

PT J
AU Semeraro, T
   Gatto, E
   Buccolieri, R
   Catanzaro, V
   De Bellis, L
   Cotrozzi, L
   Lorenzini, G
   Vergine, M
   Luvisi, A
AF Semeraro, Teodoro
   Gatto, Elisa
   Buccolieri, Riccardo
   Catanzaro, Valentina
   De Bellis, Luigi
   Cotrozzi, Lorenzo
   Lorenzini, Giacomo
   Vergine, Marzia
   Luvisi, Andrea
TI How Ecosystem Services Can Strengthen the Regeneration Policies for
   Monumental Olive Groves Destroyed by Xylella fastidiosa Bacterium
   in a Peri-Urban Area
SO SUSTAINABILITY
LA English
DT Article
DE landscape; socio-ecological system; resilience; ecosystem services;
   microclimate; cultural value
ID SOCIOECOLOGICAL SYSTEMS; LAND-USE; TREES; FRAMEWORK; CONSERVATION;
   RESILIENCE; MANAGEMENT; FOREST; COVER; DNA
AB The Apulian Region (Italy) is a socio-ecological system shaped by the millennial co-evolution between human actions and ecological processes. It is characterized by monumental olive groves protected from Regional Law 14/2007 for the cultural value of the landscape, currently threatened by the spread of a devastating phytopathogen, the bacteria Xylella fastidiosa. The aim of this paper is to apply landscape resilience analysis focusing on ecosystem services to understand the potential effects and trade-offs of regeneration policies in a peri-urban area characterized by monumental olive groves land cover. The study involved land-cover and land-use analysis, supported by a survey on the inhabitants and an ecosystem services analysis. The results showed a mismatch between the agroecosystem and the social and economic use linked to leisure or hospitality. The study area was defined as a peri-urban landscape characterized by tourist use. From the interviews of the users, the cultural heritage of olive groves seems linked to the presence of olive trees like a status quo of the landscape and olive oil productions. The culture aspect could thus be preserved by changing the type of olive trees. In addition, the analysis showed that the microclimate could be preserved and enhanced in terms of air temperature and thermal comfort, by replacing the olive trees with varieties resistant to Xylella, such as cv. Leccino. Therefore, regeneration policies that promote replacing dead olive groves with new olive trees could be efficient to stimulate social components of the landscape and improve the resilience of ecosystem services in peri-urban areas in the interest of the cultural heritage of the users and benefits that they provide. An ecosystem services analysis at a local scale could be a strategy for an integrated regenerate approach between land-use and land-cover with social, ecological, and economic evolutions vision orientated to a sustainable and desirable future.
C1 [Semeraro, Teodoro; Gatto, Elisa; Buccolieri, Riccardo; Catanzaro, Valentina; De Bellis, Luigi; Vergine, Marzia; Luvisi, Andrea] Univ Salento, Dept Biol & Environm Sci & Technol, Via Provle Monteroni, I-73100 Lecce, Italy.
   [Cotrozzi, Lorenzo; Lorenzini, Giacomo] Univ Pisa, Dept Agr Food & Environm, Via Borghetto 80, I-56124 Pisa, Italy.
   [Lorenzini, Giacomo] Univ Pisa, CIRSEC, Ctr Climate Change Impact, Via Borghetto 80, I-56124 Pisa, Italy.
C3 University of Salento; University of Pisa; University of Pisa
RP Vergine, M (corresponding author), Univ Salento, Dept Biol & Environm Sci & Technol, Via Provle Monteroni, I-73100 Lecce, Italy.
EM teodoro.semeraro@unisalento.it; elisa.gatto@unisalento.it;
   riccardo.buccolieri@unisalento.it;
   valentina.catanzaro@studenti.unisalento.it;
   luigi.debellis@unisalento.it; lorenzo.cotrozzi@agr.unipi.it;
   giacomo.lorenzini@unipi.it; marzia.vergine@unisalento.it;
   andrea.luvisi@unisalento.it
RI Catanzaro, Valentina/AAO-4978-2021; Buccolieri, Riccardo/AGI-0394-2022;
   Luvisi, Andrea/H-3790-2019; Gatto, Elisa/AAJ-2309-2021; VERGINE,
   Marzia/K-3284-2019; DE BELLIS, Luigi/I-2950-2019
OI Luvisi, Andrea/0000-0002-2207-7493; Buccolieri,
   Riccardo/0000-0002-0102-7235; VERGINE, Marzia/0000-0003-3122-2389;
   SEMERARO, Teodoro/0000-0001-9239-9060; DE BELLIS,
   Luigi/0000-0002-6047-3526; Gatto, Elisa/0000-0001-9689-0316; Cotrozzi,
   Lorenzo/0000-0002-4401-3896
FU Regione Puglia
FX This research is partially funded by the Regione Puglia research project
   'Rigenerazione dei paesaggi compromessi e degradati per effetto della
   espansione della Xylella nell'area interna del Sud Salento'.
CR Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   [Anonymous], 2021, REGIONE PUGLIA
   Antrop M, 1998, LANDSCAPE URBAN PLAN, V41, P155, DOI 10.1016/S0169-2046(98)00068-1
   Antrop M, 2000, AGR ECOSYST ENVIRON, V77, P17, DOI 10.1016/S0167-8809(99)00089-4
   Bishop J., 2021, EC ECOSYSTEMS BIODIV, V1st ed., DOI [10.4324/9780203141700, DOI 10.4324/9780203141700]
   Bodin Ö, 2012, GLOBAL ENVIRON CHANG, V22, P430, DOI 10.1016/j.gloenvcha.2012.01.005
   Brathwaite A, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101261
   Broderstad EG, 2014, ECOL SOC, V19, DOI 10.5751/ES-06533-190301
   Brown DG, 2000, J ENVIRON MANAGE, V59, P247, DOI 10.1006/jema.2000.0369
   Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carrasco LR, 2016, CONSERV BIOL, V30, P962, DOI 10.1111/cobi.12786
   Cecchini M, 2019, GEOJOURNAL, V84, P237, DOI 10.1007/s10708-018-9848-5
   Chen WY, 2017, ECOSYST SERV, V24, P170, DOI 10.1016/j.ecoser.2017.02.019
   Cheng X, 2019, ECOSYST SERV, V37, DOI 10.1016/j.ecoser.2019.100925
   Collins SL, 2011, FRONT ECOL ENVIRON, V9, P351, DOI 10.1890/100068
   Costanza R, 2017, ECOSYST SERV, V28, P1, DOI 10.1016/j.ecoser.2017.09.008
   Crane TA, 2010, ECOL SOC, V15
   Cumming GS, 2020, LANDSCAPE ECOL, V35, P2613, DOI 10.1007/s10980-020-00989-8
   Dang AN, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101266
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Dean G, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101265
   EDWARDS K, 1991, NUCLEIC ACIDS RES, V19, P1349, DOI 10.1093/nar/19.6.1349
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-09088-210444
   Fujita R, 2013, BIOL REV, V88, P273, DOI 10.1111/j.1469-185X.2012.00251.x
   Gatto E, 2020, FORESTS, V11, DOI 10.3390/f11020228
   Haines-Young RH, 2004, ADV ECOL SCI, V14, P181
   Harper SJ, 2010, PHYTOPATHOLOGY, V100, P1282, DOI 10.1094/PHYTO-06-10-0168
   Holling C.S., 1986, The resilience of terrestrial ecosystems: Local surprise abd global change, P292
   Houdet J, 2020, ECOSYST SERV, V45, DOI 10.1016/j.ecoser.2020.101104
   Hughes TP, 2017, NATURE, V546, P82, DOI 10.1038/nature22901
   Kandziora M, 2013, ECOSYST SERV, V4, P47, DOI 10.1016/j.ecoser.2013.04.001
   Kelly C, 2015, LAND USE POLICY, V46, P11, DOI 10.1016/j.landusepol.2015.01.026
   Luvisi A, 2017, PHYTOPATHOL MEDITERR, V56, P259, DOI 10.14601/Phytopathol_Mediterr-20578
   Maggiore G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010253
   Mao Z, 2021, ECOSYST SERV, V47, DOI 10.1016/j.ecoser.2020.101220
   Berrouet LM, 2018, ECOL INDIC, V84, P632, DOI 10.1016/j.ecolind.2017.07.051
   Martelli GP, 2016, PHYTOPARASITICA, V44, P1, DOI 10.1007/s12600-015-0498-6
   Morton J, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P153
   Nicolì F, 2019, PHYTOPATHOLOGY, V109, P318, DOI 10.1094/PHYTO-07-18-0236-FI
   Petrosillo I, 2009, LANDSCAPE URBAN PLAN, V89, P49, DOI 10.1016/j.landurbplan.2008.10.003
   Plieninger T, 2015, CURR OPIN ENV SUST, V14, P28, DOI 10.1016/j.cosust.2015.02.006
   Rall EL, 2015, ECOSYST SERV, V16, P230, DOI 10.1016/j.ecoser.2015.10.005
   Robert S, 2019, REG ENVIRON CHANGE, V19, P559, DOI 10.1007/s10113-018-1425-4
   Rui LY, 2018, FORESTS, V9, DOI 10.3390/f9040224
   Sabella E, 2020, TREE PHYSIOL, V40, P1583, DOI 10.1093/treephys/tpaa095
   Sabella E, 2018, J PLANT PHYSIOL, V220, P60, DOI 10.1016/j.jplph.2017.10.007
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   Salvia R, 2020, LAND-BASEL, V9, DOI 10.3390/land9060200
   Santamouris M, 2017, SOL ENERGY, V154, P14, DOI 10.1016/j.solener.2016.12.006
   Saponari M, 2013, J PLANT PATHOL, V95, P668
   Semeraro T, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010122
   Semeraro T, 2020, LAND-BASEL, V9, DOI 10.3390/land9040098
   Semeraro T, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16152642
   Soto-Montes-de-Oca G, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106510
   Strohbach MW, 2012, LANDSCAPE URBAN PLAN, V104, P95, DOI 10.1016/j.landurbplan.2011.10.001
   Turkelboom F, 2018, ECOSYST SERV, V29, P566, DOI 10.1016/j.ecoser.2017.10.011
   Turner B.L., 1995, LAND USE LAND COVER, DOI DOI 10.1177/001872679104401105
   TURNER BL, 1991, INT SOC SCI J, V43, P669
   UNESCO, 2005, OP GUID IMPL WORLD H, P83
   Vallecillo S, 2019, ECOSYST SERV, V40, DOI 10.1016/j.ecoser.2019.101044
   Vallés-Planells M, 2020, ECOL SOC, V25, DOI 10.5751/ES-11346-250105
   Vergine M, 2020, PATHOGENS, V9, DOI 10.3390/pathogens9010035
   Virapongse A, 2016, J ENVIRON MANAGE, V178, P83, DOI 10.1016/j.jenvman.2016.02.028
   Walker B, 2004, ECOL SOC, V9
   Waylen KA, 2018, ECOSYST SERV, V29, P23, DOI 10.1016/j.ecoser.2017.11.007
   Whitmarsh J, 1999, CONCEPTS IN PHOTOBIOLOGY, P11
   Wilkerson ML, 2018, ECOSYST SERV, V31, P102, DOI 10.1016/j.ecoser.2018.02.017
   Wu JG, 2002, LANDSCAPE ECOL, V17, P355, DOI 10.1023/A:1020561630963
NR 70
TC 9
Z9 9
U1 2
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2021
VL 13
IS 16
AR 8778
DI 10.3390/su13168778
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA UH8RN
UT WOS:000690190700001
OA gold
DA 2025-04-22
ER

PT J
AU Broto, VC
   Boyd, E
   Ensor, J
AF Broto, Vanesa Castan
   Boyd, Emily
   Ensor, Jonathan
TI Participatory urban planning for climate change adaptation in coastal
   cities: lessons from a pilot experience in Maputo, Mozambique
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID SETTLEMENTS; RESILIENCE; COPRODUCTION; MITIGATION; GOVERNANCE;
   KNOWLEDGE; SYNERGIES; LEVEL; CITY
AB This paper proposes a rights-based approach for participatory urban planning for climate change adaptation in urban areas. Participatory urban planning ties climate change adaptation to local development opportunities. Previous discussions suggest that participatory urban planning may help to understand structural inequalities, to gain, even if temporally, institutional support and to deliver a planning process in constant negotiation with local actors. Building upon an action research project which implemented a process of participatory urban planning for climate change in Maputo, Mozambique, this paper reflects upon the practical lessons that emerged from these experiences, in relation to the incorporation of climate change information, the difficulties to secure continued support from local governments and the opportunities for local impacts through the implementation of the proposals emerging from this process.
C1 [Broto, Vanesa Castan] UCL, Bartlett Dev Planning Unit, London, England.
   [Boyd, Emily] Univ Reading, Geog & Environm Sci, Reading RG6 2AH, Berks, England.
   [Ensor, Jonathan] Univ York, Stockholm Environm Inst, York YO10 5DD, N Yorkshire, England.
C3 University of London; University College London; University of Reading;
   University of York - UK
RP Broto, VC (corresponding author), UCL, Bartlett Dev Planning Unit, London, England.
EM v.castanbroto@ucl.ac.uk
RI Boyd, Emily/KEE-8802-2024; Broto, Vanesa/AAF-4485-2021; Ensor,
   Jonathan/M-3313-2014
OI Ensor, Jonathan/0000-0003-2402-5491
FU Climate Development Knowledge Network (CDKN); UK Department for
   International Development (DfID); Dutch Ministry of Foreign Affairs
   (DGIS)
FX We wish to thank all the people who supported this work in Maputo, and
   specially Charlotte Allen, Julio Parruque, Carlos Seventine, Domingos
   Augusto Macucule, David Nhancale and Felisbela Materula. Thanks to David
   Simon and Hayley Leck for their encouragement and editorial suggestions.
   We would also like to thank the reviewers for their comments. Part of
   this research was funded by the Climate Development Knowledge Network
   (CDKN); www.cdkn.org. The CDKN is based in the UK and funded by the UK
   Department for International Development (DfID) and the Dutch Ministry
   of Foreign Affairs (DGIS). A disclaimer applies. This paper forms part
   of the special issue on Bearing the Brunt of Environmental Change:
   Understanding adaptation and transformation challenges in urban Africa
   edited by David Simon and Hayley Leck, which arises from the Urban
   Studies Seminar of the same name held at Royal Holloway, University of
   London, in April 2013.
CR Alkire S, 2011, POVERTY HUMAN DEV IN
   [Anonymous], 2012, CLIMATE CHANGE CITY
   [Anonymous], 2011, UN HABITAT CITIES CL
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Boyd E, 2014, GLOBAL ENVIRON CHANG, V26, P140, DOI 10.1016/j.gloenvcha.2014.03.012
   Brenner Neil., 2011, CITIES PEOPLE NOT PR
   Broto VC, 2014, INT DEV PLANN REV, V36, P257, DOI 10.3828/idpr.2014.23
   Broto VC, 2013, LOCAL ENVIRON, V18, P678, DOI 10.1080/13549839.2013.801573
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cabannes Y, 2004, ENVIRON URBAN, V16, P27, DOI 10.1177/095624780401600104
   Carmin J., 2013, Urban Climate Adaptation and Leadership: From Conceptual Understanding to Practical Action
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Carolan MS, 2006, LOCAL ENVIRON, V11, P421, DOI 10.1080/13549830600785571
   Castan Broto V, 2015, ENV PLAN A IN PRESS
   Cook B., 2001, Participation: A new tyranny?
   Dodman D., 2012, ADAPTING CITIES CLIM
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Ensor J., 2011, Uncertain Futures: Adapting development to a changing climate
   Evans A, 2009, NAT RESOUR FORUM, V33, P19, DOI 10.1111/j.1477-8947.2009.01205.x
   Gaventa J., 2007, Participation: From Tyranny to Transformation?: Exploring New Approaches to Participation in Development, P25
   Haque AN, 2014, ENVIRON URBAN, V26, P112, DOI 10.1177/0956247813518681
   Hardoy J, 2014, ENVIRON URBAN, V26, P69, DOI 10.1177/0956247813519053
   Harvey D, 2003, INT J URBAN REGIONAL, V27, P939, DOI 10.1111/j.0309-1317.2003.00492.x
   Hoornweg D, 2011, URB DEV SER, P1, DOI 10.1596/978-0-8213-8493-0
   Kacyira AK, 2014, BONN
   Kiunsi R, 2013, ENVIRON URBAN, V25, P321, DOI 10.1177/0956247813489617
   Kundzewicz ZW, 2001, BONN INT C FRESHW
   Leck H, 2013, URBAN STUD, V50, P1221, DOI 10.1177/0042098012461675
   Lefebvre Henri., 2002, Writings on Cities, P86
   Lewins R., 2007, VOICES MARGINS CONSE
   Li BQ, 2013, ENVIRON URBAN, V25, P413, DOI 10.1177/0956247813490907
   McBean G., 2003, RES PAPER SERIES, V31
   McEvoy D, 2006, P I CIVIL ENG-MUNIC, V159, P185, DOI 10.1680/muen.2006.159.4.185
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mohan G, 2000, THIRD WORLD Q, V21, P247, DOI 10.1080/01436590050004346
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P229, DOI 10.1016/j.gloenvcha.2004.04.005
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Parnell S, 2009, PROGR PLAN, P72
   Pohl C, 2010, SCI PUBL POLICY, V37, P267, DOI 10.3152/030234210X496628
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Rosenzweig C, 2011, CLIMATIC CHANGE, V106, P93, DOI 10.1007/s10584-010-0002-8
   Sanchez-Rodriguez R, 2009, CURR OPIN ENV SUST, V1, P201, DOI 10.1016/j.cosust.2009.10.005
   Seeliger L, 2014, ENVIRON URBAN, V26, P184, DOI 10.1177/0956247813516240
   Smith TF, 2011, FUTURES, V43, P673, DOI 10.1016/j.futures.2011.05.008
   Sollien SE, 2011, AEGIS AFR STUD EUR C
   Stein A, 2014, ENVIRON URBAN, V26, P166, DOI 10.1177/0956247813519046
   Taddei R, 2011, AGR HUM VALUES, V28, P109, DOI 10.1007/s10460-010-9259-9
   Tas M, 2013, ENVIRON URBAN, V25, P443, DOI 10.1177/0956247813501134
   UN-Habitat MMC, 2012, AGR AV DET IMP RES E
   Viguié V, 2012, NAT CLIM CHANGE, V2, P334, DOI 10.1038/NCLIMATE1434
   Wamsler C, 2014, ENVIRON URBAN, V26, P86, DOI 10.1177/0956247813516061
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Williams G., 2004, PARTICIPATION TYRANN, P92
NR 54
TC 55
Z9 60
U1 2
U2 41
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD APR
PY 2015
VL 13
BP 11
EP 18
DI 10.1016/j.cosust.2014.12.005
PG 8
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA CG0NX
UT WOS:000352964400003
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Mukherjee, M
   Wickramasinghe, D
   Chowdhooree, I
   Chimi, C
   Poudel, S
   Mishra, B
   Ali, ZF
   Shaw, R
AF Mukherjee, Mahua
   Wickramasinghe, Deepthi
   Chowdhooree, Imon
   Chimi, Chimi
   Poudel, Shobha
   Mishra, Bhogendra
   Ali, Zainab Faruqui
   Shaw, Rajib
TI Nature-Based Resilience: Experiences of Five Cities from South Asia
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE South Asia; cities; urban disaster risk; comparative study; Nature-based
   Solutions (NbS); Nature-based Resilience (NbR)
ID KATHMANDU; ADAPTATION; CHALLENGES; ECOSYSTEMS; LANDSCAPE; WETLANDS;
   BASIN
AB As in many other parts of the world, the urban areas of the South Asian region are increasingly expanding. While cities today are the heart of commercial, technological and social development, they are also vulnerable to a variety of natural and anthropogenic threats. The complex urban infrastructure, and the ever-expanding population in cities, exacerbate the impacts of climate change and increase the risk of natural hazards. Throughout history, various hydrological disasters including floods, tidal surges, and droughts, and non-hydrological disasters such as earthquakes, landslides, and storms have led to catastrophic social, economic and environmental impacts in numerous South Asian cities. Disaster risk reduction is therefore central to ensure sustainability in urban areas. Although Nature-based Solutions (NbS) are identified as a promising strategy to reduce risk and increase resilience, there appears to be a lack of evidence-based approaches. NbS are measures that can be practiced to obtain benefits of nature for the environmental and community development through conserving, managing, and restoring ecosystems. Against this backdrop, the South Asian cities provide opportunities to evaluate capacities for achieving Nature-based Resilience (NbR) through NbS. This study documents insights from five cities of five different countries of the South Asian region which are subjected to a wide array of disasters: Barishal (Bangladesh), Phuentsholing (Bhutan), Gurugram (India), Kathmandu (Nepal), and Colombo (Sri Lanka). The primary objective of this study is to provide evidence on how NbS are being practiced. Thus, some success stories in cities under consideration are highlighted: restoration of natural canals through integrated development plans and community participation (Barishal), concepts of Gross National Happiness (GNH) and minimal nature interventions (Phuentsholing), "Greening cities'' including eco-corridors, vegetation belts, biodiversity parks (Gurugram), proper land use planning aims at different disasters (Kathmandu), and wetland restoration and management with multiple benefits (Colombo). These cases could therefore, act as a "proxy" for learning from each other to prepare for and recover from future disasters while building NbR.
C1 [Mukherjee, Mahua] Indian Inst Technol, Dept Architecture & Planning, Roorkee 247667, Uttar Pradesh, India.
   [Wickramasinghe, Deepthi] Univ Colombo, Fac Sci, Dept Zool & Environm Sci, Colombo 00700, Sri Lanka.
   [Chowdhooree, Imon] BRAC Univ, Postgrad Programs Disaster Management PPDM, Dhaka 1212, Bangladesh.
   [Chimi, Chimi] Royal Univ Bhutan, Coll Sci & Technol, Architecture Dept, Phuntsholing 13001, Bhutan.
   [Poudel, Shobha; Mishra, Bhogendra] Policy Res Inst, Res Dept, Kathmandu 44600, Nepal.
   [Ali, Zainab Faruqui] BRAC Univ, Dept Architecture, Dhaka 1212, Bangladesh.
   [Shaw, Rajib] Keio Univ, Grad Sch Media & Governance, Fujisawa, Kanagawa 2520882, Japan.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Roorkee; University of Colombo; Bangladesh Rural
   Advancement Committee BRAC; BRAC University; Bangladesh Rural
   Advancement Committee BRAC; BRAC University; Keio University
RP Chowdhooree, I (corresponding author), BRAC Univ, Postgrad Programs Disaster Management PPDM, Dhaka 1212, Bangladesh.
EM chowdhooree@gmail.com
RI Shaw, Rajib/AAI-4834-2020; Chowdhooree, Imon/AFO-1387-2022; Mishra,
   Bhogendra/M-4771-2017; Poudel, Shobha/I-1470-2015
OI Mishra, Bhogendra/0000-0002-8998-8160; Poudel,
   Shobha/0000-0002-8869-7345; Wickramasinghe, Deepthi/0000-0001-6026-9552;
   Chimi, Chimi/0000-0003-2161-7192; Shaw, Rajib/0000-0003-3153-1800;
   Chowdhooree, Imon/0000-0003-4884-8257
CR ADB Phuentsholing, 2018, TOWNSH DEV PROJ DIS
   Ahasan M., 2010, Journal of Hydrology and Meteorology, V7, P1, DOI [10.3126/jhm.v7i1.5612, DOI 10.3126/JHM.V7I1.5612]
   [Anonymous], 2014, The Daily Star
   [Anonymous], 2019, IPCC 03 TECHNICAL SU
   [Anonymous], FLOOD CONTROL PLAN G
   [Anonymous], 2016, DAILY STAR 0426, P21
   [Anonymous], SINGAPORES ONEMAP DI
   [Anonymous], 2016, INDEPENDENT 0203, P9
   [Anonymous], 2014, JICA DATA COLLECTION
   [Anonymous], 2021, Current World Population
   [Anonymous], 2012, National Report
   [Anonymous], 2021, PHUENTSHOLING THROMD
   [Anonymous], 2016, DHS COMPL DEV REV PH
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on "Nature based solutions and re naturing cities."
   [Anonymous], 2021, FACEBOOK
   Arfanuzzaman M, 2019, GROWTH CHANGE, V50, P725, DOI 10.1111/grow.12297
   Arora-Desai P., 2021, HINDUSTAN TIMES 0219, P1
   Atta-ur -Rahman, 2016, URBAN DISASTERS RESI, P1, DOI DOI 10.1016/B978-0-12-802169-9.00001-X
   Basu N., 2016, CLIMATE CHANGE ADAPT, P2
   Bhattarai Keshav, 2010, Journal of Geographic Information System, V2, P63, DOI 10.4236/jgis.2010.22012
   Bhutan N.S.B.O, 2017, POPULATION HOUSING C, P6
   BPP Home, 2021, FACEBOOK
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Calliari E, 2019, SCI TOTAL ENVIRON, V656, P691, DOI 10.1016/j.scitotenv.2018.11.341
   Chandrasekara SSK, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12030369
   Chimi C., 2017, Int. J. Energy Environ. Sci, V2, P127, DOI [10.11648/j.ijees.20170206.12, DOI 10.11648/J.IJEES.20170206.12]
   Chowdhooree I, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101864
   CohenShacham E., 2016, Nature-based Solutions to address global societal challenges, DOI 10.2305/iucn.ch.2016.13.en
   Coulthard S, 2017, ENVIRON CONSERV, V44, P298, DOI 10.1017/S0376892917000273
   CST College of Science and Technology (CST), 2018, US
   Dahanayake HD, 2022, PROG PHYS GEOG, V46, P697, DOI 10.1177/03091333221097794
   de Groot R, 2012, ECOSYST SERV, V1, P50, DOI 10.1016/j.ecoser.2012.07.005
   De Silva MMGT, 2012, ENG-J INST ENG SRI L, V45, P23, DOI 10.4038/engineer.v45i2.6938
   Department of Disaster Management (DDM), 2017, BHUT DIS RISK MAN ST
   Dikshit A, 2020, GEOSCIENCES, V10, DOI 10.3390/geosciences10040131
   Dixit AM, 2013, NAT HAZARDS, V69, P631, DOI 10.1007/s11069-013-0732-9
   DMC Disaster Management Centre Sri Lanka, 2019, DISAS MANAGE
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Dutta D, 2004, P 2 INT C AS PAC HYD, V1, P55
   Earthquakes and Megacities Initiative, 2010, RISK SENS LAND US PL
   Ely M., 2014, Green Infrastructure, Botanic Gardens of South Australia
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   Fritz M, 2017, THEOR PRACT URB SUST, P65, DOI 10.1007/978-3-319-56091-5_5
   GFDRR, 2019, RED COL FLOOD RISK W
   Gross National Happiness Commission (GNHC), 2013, 11 5 YEAR PLAN LOC G, VIII
   Gurugram Metropolitan Development Authority (GMDA), 2021, US
   Gurugram Municipal Corporation (GMC), 2021, US
   Hettiarachchi M, 2014, LANDSCAPE URBAN PLAN, V132, P55, DOI 10.1016/j.landurbplan.2014.08.006
   Hewawasam V, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102091
   Hirons M, 2016, ANNU REV ENV RESOUR, V41, P545, DOI 10.1146/annurev-environ-110615-085831
   India Census Gurgaon Population, 2021, IND CENS NET
   International Water Management Institute (IWMI), 2018, RAMS CONV COP13 IWMI
   Jagnoor J, 2019, BMJ OPEN, V9, DOI 10.1136/bmjopen-2018-026459
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Kalantari Z, 2018, CURR OPIN ENV SCI HL, V5, P73, DOI 10.1016/j.coesh.2018.06.003
   Kelman I, 2015, INT J DISAST RISK SC, V6, P117, DOI 10.1007/s13753-015-0046-5
   Khatakho R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105369
   Lechner AM, 2020, BLUE-GREEN SYST, V2, P331, DOI 10.2166/bgs.2020.014
   Marsh S., 2016, BHUTAN AMOCHHU LAND
   Mayer P, 2010, NATURE, V467, P153, DOI 10.1038/467153b
   Metro Boundary Pillars, 2016, ER JAIL CAN DRIV DEM
   Mitsch WJ, 2000, ECOL ECON, V35, P25, DOI 10.1016/S0921-8009(00)00165-8
   Miyan MA, 2015, WEATHER CLIM EXTREME, V7, P8, DOI 10.1016/j.wace.2014.06.003
   Mugnier JL, 2011, TECTONOPHYSICS, V509, P33, DOI 10.1016/j.tecto.2011.05.012
   Mukherjee J, 2022, ENVIRON URBAN, V34, P32, DOI 10.1177/09562478221084560
   Mukherjee M., 2021, GEOSM NATE URBAN RIS
   Muzzini E., 2013, URBAN GROWTH SPATIAL
   Narayan S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09269-z
   Niroshinie M.A.C., 2011, ANN RES J SLSAJ, V11, P26
   Poudel S., 2014, MOUNTAIN HAZARDS DIS, P105
   Poudel S., 2021, In: Ecosystem-Based Disaster and Climate Resilience, P85, DOI DOI 10.1007/978-981-16-4815-14
   Preventionweb, 2009, SRI LANK NAT REP DIS
   Rahman MM, 2014, MANAG ENVIRON QUAL, V25, P273, DOI 10.1108/MEQ-11-2013-0122
   Ramsar Convention Bureau Wetlands Values and Functions, 2001, US
   Reid H, 2018, RESILIENCE: THE SCIENCE OF ADAPTATION TO CLIMATE CHANGE, P207, DOI 10.1016/B978-0-12-811891-7.00016-5
   Rice L, 2020, INT J TOUR CITIES, V6, P431, DOI 10.1108/IJTC-05-2019-0069
   Sandholz S, 2016, ADV NAT TECH HAZ RES, V42, P335, DOI 10.1007/978-3-319-43633-3_15
   Seddon N, 2019, NAT CLIM CHANGE, V9, P84, DOI 10.1038/s41558-019-0405-0
   Siddique A., 2016, The Third Pole
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Solín L, 2011, NAT HAZARDS, V56, P195, DOI 10.1007/s11069-010-9562-1
   Stratford C., 2017, TREES UK RELEVANT RI, P46
   Swiss Re, 2017, BAR HELP CIT PREP CL
   Thromde P., 2018, THROMDE DISASTER MAN
   UDD, 2015, RES IMPL STAT MAST P
   United Nations New Urban Agenda, 2017, UN C HOUS SUST URB D
   Wataya E, 2022, SMART CITIES-BASEL, V5, P108, DOI 10.3390/smartcities5010007
   Wesnousky SG, 2017, EARTH PLANET SC LETT, V457, P366, DOI 10.1016/j.epsl.2016.10.006
   Wickramasinghe D., 2021, Oxford Research Encyclopedia of Natural Hazard Science, DOI [10.1093/acrefore/9780199389407.013.360, DOI 10.1093/ACREFORE/9780199389407.013.360]
   World Bank, 2016, BEDD WETL PARK FACT
   Woroniecki S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030772
NR 93
TC 20
Z9 20
U1 18
U2 91
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD OCT
PY 2022
VL 19
IS 19
AR 11846
DI 10.3390/ijerph191911846
PG 25
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA 5G2CV
UT WOS:000866812900001
PM 36231148
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Andrew, S
   Arlikatti, S
   Siebeneck, L
   Pongponrat, K
   Jaikampan, K
AF Andrew, Simon
   Arlikatti, Sudha
   Siebeneck, Laura
   Pongponrat, Kannapa
   Jaikampan, Kraiwuth
TI Sources of organisational resiliency during the Thailand floods of 2011:
   a test of the bonding and bridging hypotheses
SO DISASTERS
LA English
DT Article
DE institutional collective action; organisational resilience; networks
   analysis
ID COMMUNITY RESILIENCE; DISASTER RESILIENCE; NETWORKS; PREPAREDNESS;
   METAPHOR; RISK
AB Based on the Institutional Collective Action framework, this research tests the impact of two competing hypothesesbonding and bridgingon enhancing organisational resiliency. The bonding hypothesis posits that organisational resiliency can be achieved if an organisation works closely with others, whereas the bridging hypothesis argues that such a structure places considerable stress on an organisation and advocates for an organisation to position itself as a central actor to gain access to novel resources from a diverse set of entities to achieve resiliency. The paper analyses data gathered from semi-structured interviews with 44 public, private, and non-profit organisations serving communities affected by the Great Floods of 2011 in the Thai capital, Bangkok (urban), and in Pathum Thani (suburban) and Ayutthaya (rural) provinces. The findings suggest that: organisational resiliency was associated with the bridging effect; organisations in the rural province were more resilient than those in the suburban and urban centres; and private and non-governmental organisations generally were more resilient than public sector organisations. The findings highlight the importance of fostering multi-sector partnerships to enhance organisational resiliency for disaster response.
C1 [Andrew, Simon; Siebeneck, Laura] Univ N Texas, Dept Publ Adm, Denton, TX 76203 USA.
   [Arlikatti, Sudha] Univ N Texas, Dept Publ Adm, Emergency Adm & Planning Program, Denton, TX 76203 USA.
   [Pongponrat, Kannapa] Mahidol Univ, Mahidol Univ Int Coll, Bangkok 10700, Thailand.
   [Jaikampan, Kraiwuth] Chiangmai Rajabhat Univ, Chiang Mai, Thailand.
C3 University of North Texas System; University of North Texas Denton;
   University of North Texas System; University of North Texas Denton;
   Mahidol University; Chiang Mai Rajabhat University
RP Andrew, S (corresponding author), Publ Adm, Chilton Hall,Room 204A,Ave C, Denton, TX 76203 USA.
EM sandrew@unt.edu
RI Arlikatti, Sudha/J-3209-2019
OI Arlikatti, Sudha/0000-0002-1214-1500
FU National Science Foundation (NSF) [1242004]; Div Of Civil, Mechanical, &
   Manufact Inn; Directorate For Engineering [1242004] Funding Source:
   National Science Foundation
FX This work was supported by the National Science Foundation (grant:
   NSF#1242004).
CR Andrew SA, 2013, AM REV PUBLIC ADM, V43, P460, DOI 10.1177/0275074012447676
   Andrew SA, 2013, URBAN STUD, V50, P709, DOI 10.1177/0042098012455718
   Andrew SA, 2012, DISASTERS, V36, P514, DOI 10.1111/j.1467-7717.2011.01262.x
   Andrew SA, 2009, URBAN AFF REV, V44, P378, DOI 10.1177/1078087408323941
   Berardo R, 2010, AM J POLIT SCI, V54, P632, DOI 10.1111/j.1540-5907.2010.00451.x
   Borgatti S., 2002, UCINET 6 WINDOWS SOF
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Caritas Thailand, 2011, 6 CAR THAIL
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Disaster Resilience Leadership Academy, 2012, THAILAND FLOODS ESF
   Feiock RC, 2013, POLICY STUD J, V41, P397, DOI 10.1111/psj.12023
   Feiock RichardC., 2010, SELF ORG FEDERALISM
   Ganor M., 2003, Journal of Jewish Communal Service, V79, P105
   Hanneman R.A., 2005, Introduction to Social Network Methods
   Kapucu N, 2008, DISASTERS, V32, P239, DOI 10.1111/j.1467-7717.2008.01037.x
   Kendra JM, 2003, DISASTERS, V27, P37, DOI 10.1111/1467-7717.00218
   Komori D, 2012, HYDROL RES LETT, V6, P41, DOI 10.3178/HRL.6.41
   Manyena SB, 2006, DISASTERS, V30, P433
   McManus S., 2008, NAT HAZARDS REV, V9, P81, DOI [DOI 10.1061/(ASCE)1527-6988(2008)9:2(81), 10.1061/(asce)1527-6988(2008)9:2(81)]
   MCOT, 2011, PATTAYA MAIL    0920
   Morrow B, 2008, 4 CARRI NAT SEC DIR
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   OWEN WF, 1985, SMALL GROUP BEHAV, V16, P415, DOI 10.1177/0090552685163011
   Paton D, 2001, NAT HAZARDS, V24, P157, DOI 10.1023/A:1011882106373
   Paton D., 2001, Disaster Prevent Manag, V10, P270, DOI [10.1108/EUM0000000005930, DOI 10.1108/EUM0000000005930, https://doi.org/10.1108/EUM0000000005930]
   Pelling M., 2003, VULNERABILITY CITIES
   Perkins D., 2002, J COMMUNITY DEV SOC, V33, P33, DOI DOI 10.1080/15575330209490141
   Pfefferbaum B. J., 2007, Handbook of injury and violence prevention, P347, DOI 10.1007/978-0-387-29457-5_19
   QUARANTELLI EL, 1977, ANNU REV SOCIOL, V3, P23, DOI 10.1146/annurev.so.03.080177.000323
   Raab J, 2003, J PUBL ADM RES THEOR, V13, P413, DOI 10.1093/jopart/mug029
   RUBIN CB, 1981, LONG TERM RECOVERY N
   Seville E., RESILIENCE WHAT DOES
   Thompson J.D., 1962, Man and society in disaster, P268
   Toyoda Y., 2012, DISASTER MITIGATION, V6, P223
   Wamsler C, 2008, PROC INST CIV ENG-U, V161, P163, DOI 10.1680/udap.2008.161.4.163
   Wasserman S., 1994, SOCIAL NETWORK ANAL
   Weil F.D., 2011, SOCIAL SCI RES
   World Bank, 2012, Thai Flood 2011: Rapid Assessment for Resilient Recovery and Reconstruction Planning
NR 40
TC 46
Z9 53
U1 3
U2 58
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0361-3666
EI 1467-7717
J9 DISASTERS
JI Disasters
PD JAN
PY 2016
VL 40
IS 1
BP 65
EP 84
DI 10.1111/disa.12136
PG 20
WC Environmental Studies; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics
GA DC2ZT
UT WOS:000369088900006
PM 26272101
DA 2025-04-22
ER

PT J
AU van der Hoogen, A
   Fashoro, I
   Calitz, AP
   Luke, L
AF van der Hoogen, Anthea
   Fashoro, Ifeoluwapo
   Calitz, Andre P.
   Luke, Lamla
TI A Digital Transformation Framework for Smart Municipalities
SO SUSTAINABILITY
LA English
DT Article
DE urbanisation; smart cities; smart municipalities; energy management;
   digitalisation; IoT; sustainability; Eastern Cape
ID CITY INITIATIVES; GOVERNANCE; INTERNET; CITIES; STAKEHOLDERS;
   TECHNOLOGIES; CHALLENGES; MANAGEMENT; MOBILITY; INSIGHTS
AB Smart cities, as defined by Sustainable Development Goal 11, strive to make cities more inclusive, safe, resilient, and sustainable. Digital technologies addresses urbanisation concerns, such as rising energy use, pollution, waste disposal, and social inequities. The Internet of Things (IoT) and data-driven technologies are essential drivers, with a focus on infrastructure and decision-making in smart cities and municipalities. Digital Transformation (DT) is a prerequisite for becoming a Smart Municipality. The research objective of this paper is to investigate the role of digital technologies in improving urban processes, focusing on Smart City dimensions for municipalities, namely smart governance, environment, living, and technology. Municipalities in South Africa, particularly in the Eastern Cape, used digital adoption to boost productivity and skill development. However, the need for standardised DT principles presents problems for transitioning municipalities into data-driven organisations. The paper also examines the global energy issue and how smart cities can contribute to energy solutions. Finally, the paper addresses the following research question: 'How can lessons learned from the Eastern Cape Municipalities digital adoption be scaled to other developing nations facing similar challenges in energy management and urban planning?' Using a survey method, it provides guidelines in the DT framework, offering empirical insights into Smart Municipality digitalisation.
C1 [van der Hoogen, Anthea; Fashoro, Ifeoluwapo; Calitz, Andre P.; Luke, Lamla] Nelson Mandela Univ, Dept Comp Sci, ZA-6001 Gqeberha, South Africa.
C3 Nelson Mandela University
RP van der Hoogen, A (corresponding author), Nelson Mandela Univ, Dept Comp Sci, ZA-6001 Gqeberha, South Africa.
EM anthea.vanderhoogen@mandela.ac.za; ife.fashoro@mandela.ac.za;
   andre.calitz@mandela.ac.za; s223517429@mandela.ac.za
RI Fashoro, Ifeoluwapo/KPY-7057-2024; Calitz, Andre/V-3180-2018
OI Calitz, Andre/0000-0002-2555-9041; Luke, Lamla/0009-0009-0091-3364;
   Fashoro, Ifeoluwapo/0000-0002-1791-4744
CR Abella A, 2017, CITIES, V64, P47, DOI 10.1016/j.cities.2017.01.011
   Ahuja G, 2001, STRATEGIC MANAGE J, V22, P521, DOI 10.1002/smj.176
   AlAwadhi S, 2016, P ANN HICSS, P2953, DOI 10.1109/HICSS.2016.370
   Albino V, 2015, J URBAN TECHNOL, V22, P3, DOI 10.1080/10630732.2014.942092
   Allam Z., 2018, New Design Ideas, P124
   Andriole SJ, 2017, MIT SLOAN MANAGE REV, V58, P20
   [Anonymous], WORLD URBANIZATION P
   [Anonymous], 2005, ITWeb Online
   Jnr BA, 2023, ENTERP INF SYST-UK, V17, DOI 10.1080/17517575.2021.1989494
   Anthopoulos L., 2015, Proceedings of the 14th IFIP Electronic Government (EGOV) and 7th Electronic Participation (ePart) Conference 2015, 30 August - 2 September, 2015, P140, DOI DOI 10.3233/978-1-61499-570-8-140
   Appio FP, 2019, TECHNOL FORECAST SOC, V142, P1, DOI 10.1016/j.techfore.2018.12.018
   Ashaye OR, 2019, INT J INFORM MANAGE, V49, P253, DOI 10.1016/j.ijinfomgt.2019.05.016
   Atzori L, 2017, AD HOC NETW, V56, P122, DOI 10.1016/j.adhoc.2016.12.004
   Axelsson K, 2018, GOV INFORM Q, V35, P693, DOI 10.1016/j.giq.2018.09.001
   Barbero M., 2019, The Role of Spatial Data Infrastructures in the Digital Government Transformation of Public Administrations, DOI [10.2760/324167, DOI 10.2760/324167]
   Aletà NB, 2017, TRANSP RES PROC, V24, P163, DOI 10.1016/j.trpro.2017.05.084
   Benevolo C, 2016, L N INF SYST ORGAN, V11, P13, DOI 10.1007/978-3-319-23784-8_2
   Bertola P, 2018, RES J TEXT APPAR, V22, P352, DOI 10.1108/RJTA-03-2018-0023
   Besson V., 2022, KPMG
   Bibri Simon Elias, 2020, Energy Informatics, V3, DOI [10.1186/s42162-020-00108-6, 10.1186/s42162-020-00130-8]
   Bibri S.E., 2021, Future Cities Environ, V7, P3, DOI [10.5334/fce.116, DOI 10.5334/FCE.116]
   Bibri SE, 2019, EUR J FUTURES RES, V7, DOI 10.1186/s40309-019-0157-0
   Bosdriesz Y., 2018, Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability, P209, DOI [DOI 10.1002/9781119564034.CH26, 10.1002/9781119564034.ch26]
   Braun T, 2018, SUSTAIN CITIES SOC, V39, P499, DOI 10.1016/j.scs.2018.02.039
   Brennan J., 2016, The International Encyclopedia of Communication Theory and Philosophy, DOI [DOI 10.1002/9781118766804.WBIECT111, 10.1002/9781118766804.wbiect111]
   Bunders DJ, 2019, CITIES, V93, P145, DOI 10.1016/j.cities.2019.05.004
   Chang H., 2020, J. NBICT, V2019, P117, DOI [10.13052/nbjict1902-097X.2020.006, DOI 10.13052/NBJICT1902-097X.2020.006]
   Chong M, 2018, GOV INFORM Q, V35, P682, DOI 10.1016/j.giq.2018.07.005
   Chourabi H., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P2289, DOI 10.1109/HICSS.2012.615
   Clement SJ, 2017, 2017 11TH IEEE SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING (SOSE), P81, DOI 10.1109/SOSE.2017.29
   Colakovic A, 2018, COMPUT NETW, V144, P17, DOI 10.1016/j.comnet.2018.07.017
   Coletta C, 2017, TECNOSCIENZA, V8, P5
   Collis J., 2014, BUSINESS RES PRACTIC, V4th, DOI DOI 10.1007/978-1-137-03748
   Dannels S.A., 2018, Research design. The reviewer's guide to quantitative methods in the social sciences, P402, DOI 10.4324/9781315755649-30
   Dawadi S., 2021, Journal of Practical Studies in Education, V2, P25, DOI [10.46809/jpse.v2i2.20, DOI 10.46809/JPSE.V2I2.20]
   De Marco Alberto, 2023, Procedia Computer Science, P2075, DOI 10.1016/j.procs.2023.01.510
   DEAKIN Mark., 2014, Triple Helix, V1, P7, DOI [DOI 10.1186/S40604-014-0007-9, 10.1186/s40604-014-0007-9]
   DiMaggio P., 2001, From the 'Digital Divide' to 'Digital Inequality': Studying Internet Use as Penetration Increases, VVolume 4, P2
   Elhoseny H., 2016, INT J ADV COMPUTING, V8, P77
   ESTEVEZ E., 2016, Smart Sustainable Cities
   Fenton P, 2017, CURR OPIN ENV SUST, V26-27, P129, DOI 10.1016/j.cosust.2017.07.009
   Fernandez-Anez V, 2018, CITIES, V78, P4, DOI 10.1016/j.cities.2017.12.004
   Gartner Information Technology, 2020, Gartner Glossary
   Ivanov D, 2018, ANNU REV CONTROL, V46, P134, DOI 10.1016/j.arcontrol.2018.10.014
   Jin J, 2014, IEEE INTERNET THINGS, V1, P112, DOI 10.1109/JIOT.2013.2296516
   Ju JR, 2018, TELECOMMUN POLICY, V42, P881, DOI 10.1016/j.telpol.2018.01.003
   Kemp S., Digital 2023: South Africa
   Kim H, 2021, RENEW SUST ENERG REV, V140, DOI 10.1016/j.rser.2021.110755
   Kitchin R, 2015, SSRN Electronic Journal
   Kitchin R., 2017, Gavin McArdle, P44
   Kitchin R, 2016, PHILOS T R SOC A, V374, DOI 10.1098/rsta.2016.0115
   Kleynhans EPJ, 2019, SOUTH AFR BUS REV, V23, DOI 10.25159/1998-8125/4396
   Kumar TMV, 2017, ADV 21ST CENT HUMAN, P3, DOI 10.1007/978-981-10-1610-3_1
   Law KH, 2019, IT PROF, V21, P46, DOI 10.1109/MITP.2019.2935405
   Leydesdorff L, 2010, Arxiv, DOI arXiv:1003.3344
   Liu DJ, 2017, LECT N EDUC TECHNOL, P3, DOI 10.1007/978-981-10-4343-7_1
   Lombardi P., 2011, P 11 INT S AHP, DOI [10.13033/isahp.y2011.084, DOI 10.13033/ISAHP.Y2011.084]
   Lombardi P, 2012, INNOVATION-ABINGDON, V25, P137, DOI 10.1080/13511610.2012.660325
   Lopes NV, 2017, 2017 IEEE INTERNATIONAL CONFERENCE ON SMART GRID AND SMART CITIES (ICSGSC), P277, DOI 10.1109/ICSGSC.2017.8038591
   Lovehagen N., 2013, International Conference on Information and Communication Technologies for Sustainability, P175
   Mashau NL, 2022, SMART CITIES-BASEL, V5, P1742, DOI 10.3390/smartcities5040087
   Mathekga R., 2023, GIS Reports
   Mergel I, 2019, GOV INFORM Q, V36, DOI 10.1016/j.giq.2019.06.002
   Myeong S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031687
   Mzekandaba S., SONA: Ramaphosa's Smart City Dream Becomes 'Reality in the Making
   Naidoo S., 2007, The Mercury, P25
   Nam T., 2011, P 12 ANN INT DIG GOV, P282, DOI [10.1145/2037556.2037602, DOI 10.1145/2037556.2037602]
   Nelson A., 2020, Geopolitics, History, and International Relations, V12, P37
   Odendaal N, 2021, URBAN STUD, V58, P639, DOI 10.1177/0042098020970970
   Pandiyan P, 2023, ENERGY REP, V10, P648, DOI 10.1016/j.egyr.2023.07.021
   Park E, 2018, SUSTAINABILITY-BASEL, V10, DOI [10.3390/su10041388, 10.3390/su10051388]
   Pereira GV, 2017, INFORM TECHNOL DEV, V23, P526, DOI 10.1080/02681102.2017.1353946
   Petrosyan Ani., 2023, NUMBER INTERNET SOCI
   Pierce P., 2017, P ANN HAWAII INT C S, DOI [10.24251/hicss.2017.339, DOI 10.24251/HICSS.2017.339]
   Ptak A, 2021, ENERGIES, V14, DOI 10.3390/en14196170
   Rathore MM, 2018, FUTURE GENER COMP SY, V83, P638, DOI 10.1016/j.future.2017.08.006
   Razmjoo A, 2021, ENERGY RES SOC SCI, V79, DOI 10.1016/j.erss.2021.102175
   Rehman UU, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104720
   Roche S., 2012, GLOB GEOSP C GSDI QU, P215, DOI [10.1080/10630731003597322, DOI 10.1080/10630731003597322]
   Ruud O., 2017, IN PRESS
   SACN-South African Cities Network, 2020, State of City Finances Report 2020
   Sahu AK, 2020, AUSTRALAS MARK J, V28, P145, DOI 10.1016/j.ausmj.2020.05.001
   Samuel SSI, 2016, 2016 3RD MEC INTERNATIONAL CONFERENCE ON BIG DATA AND SMART CITY (ICBDSC), P364
   Saunders M.N.K., 2019, Research methods for business students, V8th ed.
   Schmitt G., 2020, Smart Cities
   Scholl HJ, 2016, SOC SCI INFORM, V55, P255, DOI 10.1177/0539018416629230
   Scholtz B., 2022, P AFRICAN C INFORM S
   Schwertner K., 2017, TRAKIA J SCI, V15, P388, DOI DOI 10.15547/tjs.2017.s.01.065
   Scott I., 2005, Broadband Strategies 'Critical'
   Sebastian IM, 2017, MIS Q EXEC, V16, P197
   Senne D., 2007, Joburg Advances towards 'Digital City'
   Sestino A, 2020, TECHNOVATION, V98, DOI 10.1016/j.technovation.2020.102173
   Snjezana M., 2016, J. Telecommun. Syst. Manag, V5, P1, DOI [10.4172/2167-0919.1000144, DOI 10.4172/2167-0919.1000144]
   Snow CC, 2016, CALIF MANAGE REV, V59, P92, DOI 10.1177/0008125616683954
   Söderström O, 2021, GEOFORUM, V122, P103, DOI 10.1016/j.geoforum.2021.03.017
   Sorescu A, 2017, J PROD INNOVAT MANAG, V34, P691, DOI 10.1111/jpim.12398
   Talha M, 2017, PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT), P175, DOI 10.1109/MSPCT.2017.8363999
   Thompson E.M., 2016, COMPLEXITY SIMPLICIT, V1, P651, DOI [10.52842/conf.ecaade.2016.1.651, DOI 10.52842/CONF.ECAADE.2016.1.651]
   Tomicic-Pupek K, 2019, MANAG-J CONTEMP MANA, V24, P39, DOI 10.30924/mjcmi.24.1.3
   UN-Habitat, Urban Energy
   UN-Habitat, WORLD CIT REP 2022 E
   United Nations, 2018, WORLD URBANIZATION P
   van der Hoogen A., 2022, P 2022 3 INT C NEXT, P1, DOI [10.1109/NextComp55567.2022.9932248, DOI 10.1109/NEXTCOMP55567.2022.9932248]
   Verhoef PC, 2021, J BUS RES, V122, P889, DOI 10.1016/j.jbusres.2019.09.022
   Vial G, 2019, J STRATEGIC INF SYST, V28, P118, DOI 10.1016/j.jsis.2019.01.003
   Visvizi A., 2019, Smart Cities: Issues and Challenges Mapping Political, Social and Economic Risks and Threats, V1st ed., DOI [10.1016/C2018-0-00336-9, DOI 10.1016/C2018-0-00336-9]
   World Bank Overview, Urban Development
NR 107
TC 4
Z9 4
U1 13
U2 46
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2024
VL 16
IS 3
AR 1320
DI 10.3390/su16031320
PG 28
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA HN4S6
UT WOS:001160176000001
OA gold
DA 2025-04-22
ER

PT J
AU Fraser, A
   Pelling, M
   Scolobig, A
   Mavrogenis, S
AF Fraser, Arabella
   Pelling, Mark
   Scolobig, Anna
   Mavrogenis, Stavros
TI Relating root causes to local risk conditions: A comparative study of
   the institutional pathways to small-scale disasters in three urban flood
   contexts
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Flood risk management; Root causes; Austerity; Disaster risk governance;
   Urban resilience; Small scale disasters
ID CLIMATE-CHANGE ADAPTATION; GOVERNANCE; NEOLIBERALISM; REFLECTIONS;
   RESILIENCE; KNOWLEDGE; POLITICS; BARRIERS; POLICY
AB The continued rise of global disaster losses pushes our attention yet further to the causal factors that drive risks, beyond the frame of standardised risk assessment models. A key gap in our understanding of the causality of disasters remains establishing how spatially and temporally distant factors - 'root causes' - drive local risk conditions. This is particularly the case for small-scale but high-impact disasters. It includes understanding the role that institutions play in influencing such pathways of risk production. This paper addresses this question using a holistic approach to risk analysis that links past drivers to contemporary conditions. We apply this in three case studies of coastal flood management in urban areas of differential size and integration within the European Union - Rethymno (Crete), Genoa (Italy) and St Maarten (Dutch Caribbean). The paper reveals the importance of local institutions in mediating the impacts of higher-level economic and political changes on local risks. It provides new empirical evidence of the relationship between austerity, institutional reform and local disaster risk reduction. The analysis supports a stronger causal epistemology of resilience to disasters but also leads to re-consideration of the institutional entry points for risk reduction, and the importance of considering context and trade-offs.
C1 [Fraser, Arabella] Univ Nottingham, Nottingham, England.
   [Pelling, Mark] Kings Coll London, London, England.
   [Scolobig, Anna] Univ Geneva, Geneva, Switzerland.
   [Mavrogenis, Stavros] Climate Change Law & Policy, London, England.
C3 University of Nottingham; University of London; King's College London;
   University of Geneva
RP Fraser, A (corresponding author), Univ Nottingham, Sch Geog, Sir Clive Granger Bldg,Univ Pk, Nottingham NG7 2RD, England.
EM arabella.fraser@nottingham.ac.uk
RI scolobig, anna/HHZ-7574-2022; Mavrogenis, Stavros/P-4656-2017
OI Scolobig, Anna/0000-0003-3957-9745
FU European Union Seventh Framework Programme [603663]
FX This research was funded by the European Union Seventh Framework
   Programme (Grant No. 603663) Preparing for Extreme and Rare Events in
   Coastal Regions project (PEARL). We would like to acknowledge all who
   gave their time to be interviewed, as well as Carolina Maestri
   (ETH-Zurich) for her research contribution, and Zoran Vojinovic and
   Arlex Sanchez-Torres (IHE-Delft) for their support through the PEARL
   project.
CR Adamson GCD, 2018, GLOBAL ENVIRON CHANG, V48, P195, DOI 10.1016/j.gloenvcha.2017.12.003
   Adger WN, 2009, FRONT ECOL ENVIRON, V7, P150, DOI 10.1890/070148
   Ahrens J., 2006, J CONTING CRISIS MAN, V14, P207, DOI [DOI 10.1111/J.1468-5973.2006.00497, 10.1111/j.1468-5973.2006.00497.x, DOI 10.1111/J.1468-5973.2006.00497.X]
   Alcántara-Ayala I, 2019, INT J DISAST RISK SC, V10, P317, DOI 10.1007/s13753-019-00231-3
   [Anonymous], 2016, Core-Periphery Relations in the European Union
   [Anonymous], 2011, IRDR FORIN publication, V1
   [Anonymous], 2007, 14 IPPG
   Blackburn S, 2014, GEOFORUM, V52, P101, DOI 10.1016/j.geoforum.2013.12.013
   Blaikie P., 1994, At Risk: Natural Hazards, People's Vulnerability and Disasters
   Bohle H.G., 2001, IHDP UPDATE 2 2001, P3
   Brenner N, 2001, PROG HUM GEOG, V25, P591, DOI 10.1191/030913201682688959
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Djalante J., 2019, PROGR DISASTER SCI, V2, P1
   Donovan A, 2017, PROG HUM GEOG, V41, P44, DOI 10.1177/0309132515627020
   Eakin H, 2006, GLOBAL ENVIRON CHANG, V16, P7, DOI 10.1016/j.gloenvcha.2005.10.004
   Fenton P, 2017, CURR OPIN ENV SUST, V26-27, P129, DOI 10.1016/j.cosust.2017.07.009
   Fraser A., 2016, King's College London Contested Development Working Paper Series, V74
   Fraser A., 2016, J EXTREME EVENTS, V3
   Fraser J., 2006, SPACE CULT, V9, P14, DOI DOI 10.1177/1206331205283875
   German Committee for Disaster Reduction (DKKV), 2012, DKKV PUBL SER, V48
   Green P, 2005, BRIT J CRIMINOL, V45, P528, DOI 10.1093/bjc/azi036
   Handmer J., 2007, HDB DISASTER EMERGEN
   Hardoy J., 2018, UNISDR WORDS ACTION
   Zorita CH, 2014, PROCES LENG NAT, P29
   Huang T., 2013, Towards a generic framework for synthesising the societal disturbance from Typhoon Morakot
   Jeffers JM, 2014, ENVIRON HAZARDS-UK, V13, P229, DOI 10.1080/17477891.2014.902800
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kern F, 2018, ENVIRON INNOV SOC TR, V27, P102, DOI 10.1016/j.eist.2017.11.001
   Leichenko RM, 2010, ANN ASSOC AM GEOGR, V100, P963, DOI 10.1080/00045608.2010.497340
   Leitner H, 2007, T I BRIT GEOGR, V32, P116, DOI 10.1111/j.1475-5661.2007.00236.x
   Lemos M.C., 2008, IDS B, V39
   Liverman DM, 2006, ANNU REV ENV RESOUR, V31, P327, DOI 10.1146/annurev.energy.29.102403.140729
   Marks D, 2016, HABITAT INT, V52, P57, DOI 10.1016/j.habitatint.2015.08.024
   Marulanda MC, 2010, DISASTERS, V34, P552, DOI 10.1111/j.1467-7717.2009.01143.x
   Mauelshagen Franz., 2009, Natural Disasters, Cultural Responses: Case Studies Toward a Global Environmental History, P41
   Mavrogenis S., 2016, KINGS COLL LONDON CO, V75
   Ministry of Public Health Spatial Planning Environment and Infrastructure St Maarten, 2015, STORMW MAN STRAT SIN
   Newig J, 2017, J ENVIRON POL PLAN, V19, P473, DOI 10.1080/1523908X.2017.1390926
   Oliver-Smith A, 2017, INT J DISAST RISK RE, V22, P469, DOI 10.1016/j.ijdrr.2016.10.006
   Parsons M, 2019, GLOBAL ENVIRON CHANG, V56, P95, DOI 10.1016/j.gloenvcha.2019.03.008
   Paterson SK, 2017, GEOFORUM, V81, P109, DOI 10.1016/j.geoforum.2017.02.014
   Pelling M., 2003, Natural Disasters and development in a globalizing world
   Pierson P, 2004, POLITICS IN TIME: HISTORY, INSTITUTIONS, AND SOCIAL ANALYSIS, P1
   Ramalingam B., 2013, BEST PRACTICE BEST F
   Roberts C, 2018, ENERGY RES SOC SCI, V44, P304, DOI 10.1016/j.erss.2018.06.001
   Roland G, 2004, STUD COMP INT DEV, V38, P109, DOI 10.1007/BF02686330
   Scolobig A, 2017, J EXTREME EVENTS, V4, P26, DOI [10.1142/S2345737617500105, DOI 10.1142/S2345737617500105]
   Storper M, 2016, URBAN STUD, V53, P1114, DOI 10.1177/0042098016634002
   Thomalla F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051458
   Tierney K, 2012, ANNU REV ENV RESOUR, V37, P341, DOI 10.1146/annurev-environ-020911-095618
   Tuhkanen H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061924
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   White GF., 2001, GLOB ENV CHANGE PART, V3, P81, DOI [DOI 10.1016/S1464-2867(01)00021-3, 10.3763/ehaz.2001.0308]
   Wilson L, 2014, URBAN CLIM, V7, P33, DOI 10.1016/j.uclim.2013.10.003
   Wisner B, 2009, JAMBA-J DISASTER RIS, V2, P151
   Wright K, 2016, INT J DISAST RISK RE, V18, P154, DOI 10.1016/j.ijdrr.2016.06.003
   Zaidi RZ, 2018, INT J DISAST RISK RE, V30, P306, DOI 10.1016/j.ijdrr.2018.03.022
NR 58
TC 32
Z9 33
U1 4
U2 26
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD JUL
PY 2020
VL 63
AR 102102
DI 10.1016/j.gloenvcha.2020.102102
PG 9
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA MV7WP
UT WOS:000556563400020
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Paterson, SK
   Felling, M
   Nunes, LH
   Moreira, FD
   Guida, K
   Marengo, JA
AF Paterson, Shona K.
   Felling, Mark
   Nunes, Luci Hidalgo
   Moreira, Fabiano de Araujo
   Guida, Kristen
   Marengo, Jose Antonio
TI Size does matter: City scale and the asymmetries of climate change
   adaptation in three coastal towns
SO GEOFORUM
LA English
DT Article
DE Adaptive capacity; Structuration; Scale; Urban; Brazil; USA; UK;
   Adaptive capacity index
ID ADAPTIVE CAPACITY; RESILIENCE; POLITICS; BARRIERS; VULNERABILITY;
   GOVERNANCE
AB Globally, it is smaller urban settlements that are growing most rapidly, are most constrained in terms of adaptive capacity but increasingly looked to for delivering local urban resilience. Data from three smaller coastal cities and their wider regional governance systems in Florida, US; West Sussex, UK and Sao Paulo, Brazil are used to compare the influence of scale and sector on city adaptive capacity. These tensions are described through the lens of the Adaptive Capacity Index (ACI) approach. The ACI is built from structuration theory and presents an alternative to social-ecological systems framing of analysis on adaptation. Structuration articulates the interaction of agency and structure and the intervening role played by institutions on information flow, in shaping adaptive capacity and outcomes. The ACI approach reveals inequalities in adaptive capacity to be greater across scale than across government, private and civil society sector capacity in each study area. This has implications for adaptation research both by reinforcing the importance of scale and demonstrating the utility of structuration theory as a framework for understanding the social dynamics underpinning adaptive capacity; and policy relevance, in particular considering the redistribution of decision-making power across scale and/or compensatory mechanisms, especially for lower scale actors, who increasingly carry the costs for enacting resilience planning in cities. (C) 2017 The Authors. Published by Elsevier Ltd.
C1 [Paterson, Shona K.; Felling, Mark] Future Earth Coasts, Cork, Ireland.
   [Paterson, Shona K.] Univ Coll Cork, MaREI Ctr, Cork, Ireland.
   [Felling, Mark] Kings Coll London, London, England.
   [Nunes, Luci Hidalgo; Moreira, Fabiano de Araujo] Univ Estadual Campinas, Campinas, SP, Brazil.
   [Guida, Kristen] London Climate Change Partnership, London, England.
   [Marengo, Jose Antonio] Ctr Nacl Monitoramento & Alertas Desastres Nat, Sao Jose Dos Campos, Brazil.
C3 University College Cork; University of London; King's College London;
   Universidade Estadual de Campinas
RP Paterson, SK (corresponding author), Future Earth Coasts, Cork, Ireland.
EM shona.paterson@ucc.ie
RI Nunes, Lucí Hidalgo/CAG-4940-2022; Moreira, Fabiano/M-4759-2019;
   Marengo, Jose/ABI-5279-2022; de Araujo Moreira, Fabiano/D-4402-2019
OI Pelling, Mark/0000-0002-6472-9875; Paterson, Shona/0000-0003-3107-585X;
   de Araujo Moreira, Fabiano/0000-0002-7148-3842; Nunes, Luci
   Hidalgo/0000-0002-0911-1650
FU Belmont Forum; NERC [NE/L008963/1]; NSF [ICER 1342969]; FAPESP
   [G8MUREFU3FP-2201-040, 12/51876-0, 14/14598-8]; Directorate For
   Geosciences; ICER [1342969] Funding Source: National Science Foundation;
   NERC [NE/L008963/1, NE/P000444/1] Funding Source: UKRI; Fundacao de
   Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [14/14598-8,
   12/51876-0] Funding Source: FAPESP
FX The research reported in this paper was part of the Metropole Project
   (METROPOLE: An Integrated Framework to Analyze Local Decision Making and
   Adaptive Capacity to Large-Scale Environmental Change) led by Frank
   Muller-Karger, supported by the Belmont Forum with national funding from
   NERC (NE/L008963/1), NSF (ICER 1342969) and FAPESP
   (G8MUREFU3FP-2201-040, Fapesp Proc. 12/51876-0 and 14/14598-8).
   Invaluable contributions were made by CJ Reynolds (University of South
   Florida).
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Agrawal A., 2010, ROLE LOCAL I ADAPTAT
   [Anonymous], 1986, The Constitution of Society: Outline of the theory of structuration
   [Anonymous], 2006, GLOBAL ENVIRON CHANG, DOI [DOI 10.1016/j.gloenvcha.2005.10.004, DOI 10.1007/s11027-013-9475-x]
   Arnall A, 2015, GEOFORUM, V66, P26, DOI 10.1016/j.geoforum.2015.08.015
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Bentley G, 2013, LOCAL ECON, V28, P257, DOI 10.1177/0269094212473940
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Birkmann J, 2014, URBAN CLIM, V7, P115, DOI 10.1016/j.uclim.2014.01.006
   Blackburn S, 2014, GEOFORUM, V52, P101, DOI 10.1016/j.geoforum.2013.12.013
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Davies JS, 2012, PUBLIC MONEY MANAGE, V32, P193, DOI 10.1080/09540962.2012.676276
   Dewulf A, 2013, WIRES CLIM CHANGE, V4, P321, DOI 10.1002/wcc.227
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Fraser A., 2016, UNDERSTANDING RISK C, V17
   GOV. UK, 2014, MEDM COAST FLOOD DEF
   Gupta J., 2007, Environmental Sciences, V4, P171
   High C., 2004, 11 WORLD C RUR SOC 2
   Hoogesteger J, 2015, GEOFORUM, V62, P13, DOI 10.1016/j.geoforum.2015.03.013
   Krellenberg K., Adaptation to climate change in megacities of Latin America-Regional Learning Network of the research project Climate Adaptation Santiago (CAS)
   Marks D, 2016, HABITAT INT, V52, P57, DOI 10.1016/j.habitatint.2015.08.024
   Marston SA, 2005, T I BRIT GEOGR, V30, P416, DOI 10.1111/j.1475-5661.2005.00180.x
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Moore A, 2008, PROG HUM GEOG, V32, P203, DOI 10.1177/0309132507087647
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Obrien K., 2012, MANAGING RISKS EXTRE
   Ostrom E, 2014, ANN ECON FINANC, V15, P97
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2013, 47 EPD KINGS COLL LO
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pelling M, 2011, ECOL SOC, V16
   Picketts IM, 2014, J ENVIRON PLANN MAN, V57, P984, DOI 10.1080/09640568.2013.776951
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Raco M, 2012, URBAN STUD, V49, P1065, DOI 10.1177/0042098011415716
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Sage D, 2015, ENVIRON PLANN D, V33, P494, DOI 10.1177/0263775815594299
   SANTOS P. M. D., 2012, ATUALIZACAO PLANO MU
   Selsey Town Council, 2013, SELS NEIGHB PLAN 201
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Southeast Florida Regional Climate Change Compact, 2012, REG RESP CHANG CLIM
   Taylor M, 2013, CLIM DEV, V5, P318, DOI 10.1080/17565529.2013.830954
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   Uittenbroek CJ, 2016, J ENVIRON POL PLAN, V18, P161, DOI 10.1080/1523908X.2015.1065717
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Wakefield S, 2014, ENVIRON PLANN D, V32, P4, DOI 10.1068/d3201int
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wisner B., 2015, URBAN VULNERABILITY
   Young OR, 2010, GLOBAL ENVIRON CHANG, V20, P378, DOI 10.1016/j.gloenvcha.2009.10.001
   Zaidi R. Z., 2013, I CONFIGURED RISK AS
   Ziervogel G., 2017, ENV URBAN
NR 59
TC 34
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PU PERGAMON-ELSEVIER SCIENCE LTD
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PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
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OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Imperiale, AJ
   Vanclay, F
AF Imperiale, Angelo Jonas
   Vanclay, Frank
TI Re-designing Social Impact Assessment to enhance community resilience
   for Disaster Risk Reduction, Climate Action and Sustainable Development
SO SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE capacity development; climate change adaptation; community
   participation; disaster risk governance; environmental governance;
   place-based development; urban and regional planning
ID PROJECT-INDUCED DISPLACEMENT; HUMAN-RIGHTS; ENVIRONMENTAL-MANAGEMENT;
   ORGANIZED-CRIME; ELITE CAPTURE; PARTICIPATION; POLICY; VULNERABILITY;
   PRINCIPLES; CORPORATE
AB Enhancing disaster risk reduction (DRR) and community resilience are fundamental for sustainable development. However, cultural and political-institutional barriers hinder governments from progressing towards sustainability. We propose a redesign of social impact assessment (SIA) to make it more applicable to the field of regional and urban planning, and we discuss the role SIA can have in enhancing community resilience to achieve DRR and sustainable development in localities. We argue that, to convert SIA into a tool that can inform regional recovery and development planning, a rethinking of SIA and of the role of SIA practitioners is needed. We therefore expound the SIA Framework for Action and we enhance it to be a community-based process focussed on informing regional policies and plans and decisions about the projects to be included in such plans. Application of the SIA Framework for Action will help governments overcome the barriers to DRR and sustainable development.
C1 [Imperiale, Angelo Jonas; Vanclay, Frank] Univ Groningen, Fac Spatial Sci, Groningen, Netherlands.
   [Imperiale, Angelo Jonas] IHE Delft, Inst Water Educ, Delft, Netherlands.
   [Imperiale, Angelo Jonas] Univ Melbourne, Sch Geog Earth & Atmospher Sci, Melbourne, Australia.
C3 University of Groningen; IHE Delft Institute for Water Education;
   University of Melbourne
RP Imperiale, AJ (corresponding author), Univ Groningen, Fac Spatial Sci, Groningen, Netherlands.
EM a.j.imperiale@rug.nl
RI Vanclay, Frank/B-2194-2008; Imperiale, Angelo Jonas/L-7414-2017
OI Imperiale, Angelo Jonas/0000-0002-9801-1693
CR Abdalla SM, 2021, BMJ-BRIT MED J, V375, DOI 10.1136/bmj-2021-067487
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Aguilar-Stoen M, 2017, ENVIRON IMPACT ASSES, V62, P225, DOI 10.1016/j.eiar.2016.08.003
   Aguilar-Stoen M, 2015, EXTRACT IND SOC, V2, P472, DOI 10.1016/j.exis.2015.03.001
   Aitsi-Selmi A, 2016, INT J DISAST RISK SC, V7, P1, DOI 10.1007/s13753-016-0081-x
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2005, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters, DOI DOI 10.1017/CBO9781107415324.004
   Aucamp I, 2018, IMPACT ASSESS PROJ A, V36, P173, DOI 10.1080/14615517.2017.1390872
   Aznar-Crespo P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063410
   Barca F., 2009, An Agenda for a Reformed Cohesion Policy: A Place-Based Approach to Meeting European Union Challenges and Expectations
   Baudoin MA, 2016, INT J DISAST RISK SC, V7, P163, DOI 10.1007/s13753-016-0085-6
   Becker H.A., 2003, The international handbook of social impact assessment: Conceptual and methodological advances
   Benson C., 2007, TOOLS MAINSTREAMING
   Berkes F, 2016, ENVIRON SCI POLICY, V61, P185, DOI 10.1016/j.envsci.2016.04.004
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bosher L, 2011, DISASTERS, V35, P1, DOI 10.1111/j.1467-7717.2010.01189.x
   Brundtland GH., 1987, OUR COMM FUT, V4, P17
   Bullard R., 1990, Dumping in Dixie: Race, class, and environmental quality
   Carmen E, 2022, AMBIO, V51, P1371, DOI 10.1007/s13280-021-01678-9
   Castro-Arce K, 2020, J RURAL STUD, V74, P45, DOI 10.1016/j.jrurstud.2019.11.010
   Cavaye J, 2019, COMMUNITY DEV, V50, P181, DOI 10.1080/15575330.2019.1572634
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Charnley GEC, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-85146-0
   Choudhury MUI, 2021, ENVIRON SCI POLICY, V124, P580, DOI 10.1016/j.envsci.2021.08.007
   Choudhury MUI, 2021, ECOL SOC, V26, DOI 10.5751/ES-12107-260105
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Climent-Gil E, 2018, ENVIRON IMPACT ASSES, V73, P70, DOI 10.1016/j.eiar.2018.07.005
   Coles E., 2004, Australian Journal of Emergency Management, V19, P6
   Cook BR, 2019, GLOBAL ENVIRON CHANG, V56, P56, DOI 10.1016/j.gloenvcha.2019.03.001
   Cook BR, 2016, INT J DISAST RISK RE, V19, P265, DOI 10.1016/j.ijdrr.2016.08.022
   Coppola D.P., 2015, INTRO INT DISASTER M, VThird, P1, DOI DOI 10.1016/C2014-0-00128-1
   Corsino L, 2013, J CONTEMP CRIM JUST, V29, P256, DOI 10.1177/1043986213485634
   Cottrell A., 2010, AUSTR J DISASTER TRA, V2010, P1
   Cottrell A, 2011, NEW DIRECTIONS IN SOCIAL IMPACT ASSESSMENT: CONCEPTUAL AND METHODOLOGICAL ADVANCES, P154
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dani A, 2011, NEW DIRECTIONS IN SOCIAL IMPACT ASSESSMENT: CONCEPTUAL AND METHODOLOGICAL ADVANCES, P306
   Dare M, 2014, IMPACT ASSESS PROJ A, V32, P188, DOI 10.1080/14615517.2014.927108
   Darrow M, 2005, HUM RIGHTS QUART, V27, P471, DOI 10.1353/hrq.2005.0015
   Dasgupta A, 2007, DEV CHANGE, V38, P229, DOI 10.1111/j.1467-7660.2007.00410.x
   Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940
   Davis S, 2021, LOCAL ENVIRON, V26, P1564, DOI 10.1080/13549839.2021.1997963
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Delica-Willison Z., 2012, Handbook of Hazards and Disaster Risk Reduction, P711
   Delica-Willison Z., 2005, TROPICAL COASTS, V12, P66
   Dougherty ML, 2019, EXTRACT IND SOC, V6, P443, DOI 10.1016/j.exis.2019.01.007
   Esteves AM, 2017, ENVIRON IMPACT ASSES, V67, P73, DOI 10.1016/j.eiar.2017.07.001
   Esteves AM, 2012, IMPACT ASSESS PROJ A, V30, P34, DOI 10.1080/14615517.2012.660356
   Esteves AM, 2009, ENVIRON IMPACT ASSES, V29, P137, DOI 10.1016/j.eiar.2008.08.004
   Fernandez G, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100003
   Fourie K, 2021, WORLD SUSTAIN SER, P649, DOI 10.1007/978-3-030-74693-3_36
   Franks DM, 2013, ENVIRON IMPACT ASSES, V43, P40, DOI 10.1016/j.eiar.2013.05.004
   Fransen J, 2022, EUR J DEV RES, V34, P432, DOI 10.1057/s41287-020-00348-y
   FRITZ CE, 1957, ANN AM ACAD POLIT SS, V309, P42, DOI 10.1177/000271625730900107
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   George N, 2016, POLICY POLIT, V44, P591, DOI 10.1332/030557315X14351420409945
   Götzmann N, 2017, BUS HUM RIGHTS J, V2, P87, DOI 10.1017/bhj.2016.24
   Götzmann N, 2016, IMPACT ASSESS PROJ A, V34, P14, DOI 10.1080/14615517.2015.1096036
   Gunewardena Nandini., 2008, Capitalizing on Catastrophe: Neoliberal Strategies in Disaster Reconstruction
   Hallegatte S., 2018, Building back better: Achieving resilience through stronger, faster, and more inclusive post-disaster reconstruction, DOI DOI 10.1596/29867
   Hallegatte S., 2017, Unbreakable: Building the Resilience of the Poor in the Face of Natural Disasters, Climate Ch
   Hanna P, 2016, EXTRACT IND SOC, V3, P217, DOI 10.1016/j.exis.2015.10.006
   Hanna P, 2013, IMPACT ASSESS PROJ A, V31, P146, DOI 10.1080/14615517.2013.780373
   Haque CE, 2022, DISASTER PREV MANAG, V31, P601, DOI 10.1108/DPM-12-2020-0373
   Harvey D.C., 2017, Humanity Society, V41, P333
   Horton R, 2020, LANCET, V396, P874, DOI 10.1016/S0140-6736(20)32000-6
   IFC, 2012, Performance Standard No. 7 Indigenous Peoples, IFC Performance Standards'
   Imperiale AJ, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101099
   Imperiale AJ, 2021, SUSTAIN DEV, V29, P891, DOI 10.1002/sd.2182
   Imperiale AJ, 2020, POLITICS GOV, V8, P232, DOI 10.17645/pag.v8i4.3179
   Imperiale AJ, 2020, DISASTER PREV MANAG, V29, P541, DOI 10.1108/DPM-11-2019-0336
   Imperiale AJ, 2021, DISASTERS, V45, P555, DOI 10.1111/disa.12431
   Imperiale AJ, 2019, DISASTER PREV MANAG, V28, P434, DOI 10.1108/DPM-01-2018-0030
   Imperiale AJ, 2016, MT RES DEV, V36, P431, DOI 10.1659/MRD-JOURNAL-D-16-00027.1
   Imperiale AJ, 2016, J RURAL STUD, V47, P204, DOI 10.1016/j.jrurstud.2016.08.002
   International Decade for Natural Disaster Reduction (IDNDR), 1994, IDNDR WORLD C NAT DI
   Jewett RL, 2021, INT J HEALTH SERV, V51, P325, DOI 10.1177/0020731421997092
   Jha AK, 2010, SAFER HOMES, STRONGER COMMUNITIES: A HANDBOOK FOR RECONSTRUCTING AFTER NATURAL DISASTERS, P1, DOI 10.1596/978-0-8213-8045-1
   Jijelava D, 2018, ENVIRON IMPACT ASSES, V73, P31, DOI 10.1016/j.eiar.2018.07.001
   Jijelava D, 2017, J CLEAN PROD, V140, P1077, DOI 10.1016/j.jclepro.2016.10.070
   Kamoto J, 2013, LAND USE POLICY, V35, P293, DOI 10.1016/j.landusepol.2013.06.002
   Kemp D, 2016, RESOUR POLICY, V50, P19, DOI 10.1016/j.resourpol.2016.08.004
   Khan M, 2020, IMPACT ASSESS PROJ A, V38, P57, DOI 10.1080/14615517.2019.1684096
   Klein JA, 2019, ENVIRON SCI POLICY, V94, P143, DOI 10.1016/j.envsci.2018.12.034
   Klein N, 2009, The Shock Doctrine: The Rise of Disaster Capitalism
   Knutsen CH, 2017, AM J POLIT SCI, V61, P320, DOI 10.1111/ajps.12268
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Kruger L, 2022, IMPACT ASSESS PROJ A, V40, P20, DOI 10.1080/14615517.2021.1963932
   Lee ACK, 2022, PUBLIC HEALTH, V204, P12, DOI 10.1016/j.puhe.2021.12.011
   Leith P, 2015, SCI TECHNOL HUM VAL, V40, P939, DOI 10.1177/0162243915577636
   Lejano RP, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102508
   Lo TW, 2010, BRIT J CRIMINOL, V50, P851, DOI 10.1093/bjc/azq022
   Maclean K, 2014, J ENVIRON PLANN MAN, V57, P144, DOI 10.1080/09640568.2013.763774
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Mahmoudi H, 2013, ENVIRON IMPACT ASSES, V43, P1, DOI 10.1016/j.eiar.2013.05.003
   Marjolein BAV, 2002, GLOBAL ENVIRON CHANG, V12, P167
   Martin Keith, 2021, Lancet Glob Health, V9 Suppl 1, pS1, DOI 10.1016/S2214-109X(21)00106-6
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   Mendenhall E, 2020, LANCET, V396, P1731, DOI 10.1016/S0140-6736(20)32218-2
   Moreira S, 2022, IMPACT ASSESS PROJ A, V40, P156, DOI 10.1080/14615517.2021.2008600
   Nish S, 2011, NEW DIRECTIONS IN SOCIAL IMPACT ASSESSMENT: CONCEPTUAL AND METHODOLOGICAL ADVANCES, P59
   Nohrstedt D, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102661
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   O'Faircheallaigh C, 2005, ENVIRON POLIT, V14, P629, DOI 10.1080/09644010500257912
   O'Faircheallaigh C, 2007, ENVIRON IMPACT ASSES, V27, P319, DOI 10.1016/j.eiar.2006.12.002
   O'Faircheallaigh C, 2013, COMMUNITY DEV, V44, P222, DOI 10.1080/15575330.2012.705872
   Office of the United Nations Disaster Relief Co-ordinator (UNDRO), 1982, UN
   OLIVERSMITH A, 1990, DISASTERS, V14, P7, DOI 10.1111/j.1467-7717.1990.tb00968.x
   Ottersen OP, 2014, LANCET, V383, P630, DOI 10.1016/S0140-6736(13)62407-1
   Ovink H, 2023, NAT WATER, V1, P212, DOI 10.1038/s44221-023-00052-1
   Patterson J, 2017, ENVIRON INNOV SOC TR, V24, P1, DOI 10.1016/j.eist.2016.09.001
   Paudel D, 2020, GEOPOLITICS, V25, P838, DOI 10.1080/14650045.2018.1533818
   Platteau JP, 2004, DEV CHANGE, V35, P223, DOI 10.1111/j.1467-7660.2004.00350.x
   Poortinga W, 2012, HEALTH PLACE, V18, P286, DOI 10.1016/j.healthplace.2011.09.017
   Povall SL, 2014, HEALTH PROMOT INT, V29, P621, DOI 10.1093/heapro/dat012
   QUARANTELLI EL, 1977, ANNU REV SOCIOL, V3, P23, DOI 10.1146/annurev.so.03.080177.000323
   Robinson J, 2004, ECOL ECON, V48, P369, DOI 10.1016/j.ecolecon.2003.10.017
   Rowan Marielle., 2009, Impact Assessment and Project Appraisal, V27, P185, DOI [10.3152/146155109X467588, DOI 10.3152/146155109X467588]
   Sánchez LE, 2017, ENVIRON IMPACT ASSES, V62, P195, DOI 10.1016/j.eiar.2016.06.001
   Sandoval V, 2020, DISASTER PREV MANAG, V29, P831, DOI 10.1108/DPM-01-2020-0005
   Satizábal P, 2022, INT J DISAST RISK RE, V68, DOI 10.1016/j.ijdrr.2021.102699
   Scolobig A, 2015, INT J DISAST RISK RE, V12, P202, DOI 10.1016/j.ijdrr.2015.01.006
   Scott M, 2013, GEOGR COMPASS, V7, P597, DOI 10.1111/gec3.12066
   Seddiky MA, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101580
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Skerratt S, 2013, J RURAL STUD, V31, P36, DOI 10.1016/j.jrurstud.2013.02.003
   Slootweg R., 2001, Impact Assessment and Project Appraisal, V19, P19, DOI 10.3152/147154601781767186
   Smyth E, 2017, IMPACT ASSESS PROJ A, V35, P65, DOI 10.1080/14615517.2016.1271539
   Solé-Ollé A, 2008, J PUBLIC ECON, V92, P2302, DOI 10.1016/j.jpubeco.2007.06.014
   Sonn CC, 1998, J COMMUNITY PSYCHOL, V26, P457, DOI 10.1002/(SICI)1520-6629(199809)26:5<457::AID-JCOP5>3.3.CO;2-7
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tiernan A, 2019, POLICY DES PRACT, V2, P53, DOI 10.1080/25741292.2018.1507240
   Tierney K, 2006, ANN AM ACAD POLIT SS, V604, P57, DOI 10.1177/0002716205285589
   Tobin G., 1999, ENVIRON HAZARDS-UK, V1, P13, DOI [DOI 10.1016/S1464-2867(99)00002-9, 10.3763/ehaz.1999.0103]
   Tozier de la Poterie A, 2015, INT J DISAST RISK SC, V6, P128, DOI 10.1007/s13753-015-0053-6
   Uddin MS, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102444
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   van der Ploeg L, 2018, RESOUR POLICY, V55, P210, DOI 10.1016/j.resourpol.2017.12.001
   van der Ploeg L, 2017, IMPACT ASSESS PROJ A, V35, P34, DOI 10.1080/14615517.2016.1271538
   Vanclay F, 2006, ENVIRON IMPACT ASSES, V26, P3, DOI 10.1016/j.eiar.2005.05.002
   Vanclay F., 2003, IMPACT ASSESS PROJ A, V21, P5, DOI DOI 10.3152/147154603781766491
   Vanclay F., 1995, ENV SOCIAL IMPACT AS
   Vanclay F., 2002, ENVIRON IMPACT ASSES, V22, P183, DOI [10.1016/S0195-9255(01)00105-6, DOI 10.1016/S0195-9255(01)00105-6]
   Vanclay F., 2019, LAND-BASEL, V8, DOI [10.3390/land8060101, DOI 10.3390/land8060101]
   Vanclay F., 2014, Developments in Social Impact Assessment
   Vanclay F.M., 2008, MAKING SENSE PLACE E, P3
   Vanclay F, 2020, IMPACT ASSESS PROJ A, V38, P126, DOI 10.1080/14615517.2019.1685807
   Vanclay Frank, 2015, Journal of Environmental Assessment Policy and Management, V17, P1550003, DOI 10.1142/S1464333215500039
   Vanclay F, 2015, REG STUD, V49, P1326, DOI 10.1080/00343404.2013.837998
   Vanclay F, 2012, OCEAN COAST MANAGE, V68, P149, DOI 10.1016/j.ocecoaman.2012.05.016
   Vanclay F, 2011, NEW DIRECTIONS IN SOCIAL IMPACT ASSESSMENT: CONCEPTUAL AND METHODOLOGICAL ADVANCES, P3
   Vanclay FrankAna Maria Esteves., 2015, Social Impact Assessment: Guidance for Assessing and Managing the Social Impacts of Projects
   Wallemacq P., 2018, Economic Losses, Poverty Disasters: 1998-2017
   Wamsler C, 2018, ENVIRON SCI POLICY, V85, P81, DOI 10.1016/j.envsci.2018.03.021
   Ward PS, 2017, DISASTERS, V41, P324, DOI 10.1111/disa.12199
   Williams A, 2017, ENVIRON IMPACT ASSES, V65, P118, DOI 10.1016/j.eiar.2017.05.002
   Wilson GA, 2015, ENVIRON VALUE, V24, P227, DOI 10.3197/096327114X13947900182157
   Wilson GA, 2013, LAND USE POLICY, V31, P298, DOI 10.1016/j.landusepol.2012.07.011
   Wilson GA, 2012, GEOFORUM, V43, P1218, DOI 10.1016/j.geoforum.2012.03.008
   Yee DKP, 2018, PEACE REV, V30, P160, DOI 10.1080/10402659.2018.1458943
   Zurba M, 2022, SUSTAIN SCI, V17, P449, DOI 10.1007/s11625-021-00996-x
NR 162
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PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
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   & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Science & Technology - Other Topics; Public
   Administration
GA MP4G9
UT WOS:001035589800001
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Feinberg, A
   Ghorbani, A
   Herder, P
AF Feinberg, Arthur
   Ghorbani, Amineh
   Herder, Paulien
TI Diversity and Challenges of the Urban Commons: A Comprehensive Review
SO INTERNATIONAL JOURNAL OF THE COMMONS
LA English
DT Article
DE urban commons; city; literature review; assemblage approach; diversity;
   challenges; institutions
ID PROPERTY-RIGHTS; PUBLIC SPACE; CIVIL-SOCIETY; RESILIENCE; CITY;
   POLITICS; CITIES; ACTIVISM; LAND; PARTICIPATION
AB This study is a comprehensive literature review about the field of the urban commons and its diversity, which we investigate through the lens of the new commons. Acknowledging a potential for adaptive capacity in the urban commons, we classify its traits into ecosystem, socio-economic and institutional factors. To make our work more practical, we further arrange them as benefits, challenges or supports. Our literature review highlights the need to further study the institutions which have an impact on the urban commons, as well as the individual and collective behaviour mechanisms at stake in the emergence and management of this commons. In addition, more light needs to be shed on the property-regimes relevant to the urban commons, with a focus on the access or use rules, rather than on ownership.
C1 [Feinberg, Arthur; Ghorbani, Amineh; Herder, Paulien] Delft Univ Technol, Delft, Netherlands.
C3 Delft University of Technology
RP Feinberg, A (corresponding author), Delft Univ Technol, Delft, Netherlands.
EM arthur.feinberg@alumni.epfl.ch
RI Ghorbani, Amineh/KIC-8485-2024
OI Ghorbani, Amineh/0000-0002-9985-8239; , Arthur/0000-0002-3365-302X;
   Herder, Paulien/0000-0003-4742-7522
CR Aernouts N., 2017, INT J HOUS POLICY, P1, DOI [10.1080/19491247.2017.133, DOI 10.1080/19491247.2017.133]
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Arora P, 2015, SPACE CULT, V18, P55, DOI 10.1177/1206331213517609
   Artopoulos G, 2019, INT J E-PLAN RES, V8, P35, DOI 10.4018/IJEPR.2019010103
   Batliboi R. J., 2016, 2016 5 INT C SMART C, P1, DOI [10.5220/0005804400710077, DOI 10.5220/0005804400710077]
   Baviskar Amita., 2011, Economic and Political Weekly, V46, P45
   Becker S, 2017, URBAN RES PRACT, V10, P63, DOI 10.1080/17535069.2016.1156735
   Becker S, 2015, SPACE POLITY, V19, P76, DOI 10.1080/13562576.2014.991119
   Berge E, 2015, INT J COMMONS, V9, P469
   Bianchi I, 2018, SPACE POLITY, V22, P287, DOI 10.1080/13562576.2018.1505492
   Blackmore C, 2010, SOCIAL LEARNING SYSTEMS AND COMMUNITIES OF PRACTICE, P1, DOI 10.1007/978-1-84996-133-2
   Blomley N, 2008, SOC LEGAL STUD, V17, P311, DOI 10.1177/0964663908093966
   Bogadi A, 2017, TEH GLAS, V11, P63
   Boltanski Luc., 1991, JUSTIFICATION
   Borch ChristianMartin Kornberger., 2015, URBAN COMMONS RETHIN, DOI 10.4324/9781315780597
   Bowers C., 2009, Canadian Journal of Environmental Education, V14, P196
   Boydell S, 2014, URBAN POLICY RES, V32, P323, DOI 10.1080/08111146.2014.901909
   Bresnihan P, 2015, ANTIPODE, V47, P36, DOI 10.1111/anti.12105
   Bruun MajaHojer., 2015, Urban commons, P153
   Bunce S, 2016, ANTIPODE, V48, P134, DOI 10.1111/anti.12168
   Bussels M., 2016, 4 WORLD PLANN SCH C
   Camps-Calvet M, 2015, PARTECIP CONFL, V8, P417, DOI 10.1285/i20356609v8i2p417
   Cantone F, 2014, ARCHEOL CALC, V25, P207
   Chatterton P, 2016, T I BRIT GEOGR, V41, P403, DOI 10.1111/tran.12139
   Chiu C, 2019, J SPORT SOC ISSUES, V43, P462, DOI 10.1177/0193723519842219
   Colding J, 2013, GLOBAL ENVIRON CHANG, V23, P1039, DOI 10.1016/j.gloenvcha.2013.05.006
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Comune di Bologna & Urban Center Bologna, 2014, COLL BOL
   Conley A, 2003, SOC NATUR RESOUR, V16, P371, DOI 10.1080/08941920309181
   Cooke B, 2020, AUST GEOGR, V51, P169, DOI 10.1080/00049182.2019.1655828
   Correa H, 2018, INT J COMMONS, V12, P573, DOI 10.18352/ijc.856
   Jiménez AC, 2014, ENVIRON PLANN D, V32, P342, DOI 10.1068/d13077p
   Crichton S, 2012, ELECTRON J E-LEARN, V10, P23
   Crow B., 2008, HDB RES URBAN INFORM, P158, DOI [10.4018/978-1-60566-152-0.ch011, DOI 10.4018/978-1-60566-152-0.CH011]
   Cumbers A., 2012, RECLAIMING PUBLIC OW, DOI [10.1177/0486613415574277, DOI 10.1177/0486613415574277]
   D'Ottaviano C., 2018, CARVING OUT COMMONS
   D'Souza R, 2011, ENVIRON MANAGE, V47, P840, DOI 10.1007/s00267-011-9658-8
   Datta A., 2013, City, V17, P517
   Davy B, 2014, INT J COMMONS, V8, P472
   DeLanda M., 2006, A new philosophy of society: assemblage theory and social complexity, DOI DOI 10.1111/J.1467-8330.2008.00646.X
   Deleuze Gillesy., 1980, CAPITALISME SCHIZOPH
   Derkzen ML, 2017, ECOL SOC, V22, DOI 10.5751/ES-09168-220151
   Feliciantonio C, 2017, EUR URBAN REG STUD, V24, P352, DOI 10.1177/0969776416662110
   Di Feliciantonio C, 2017, INT J URBAN REGIONAL, V41, P708, DOI 10.1111/1468-2427.12513
   Durusoy E, 2016, MEGARON, V11, P125, DOI 10.5505/MEGARON.2016.48343
   Eynaud P, 2018, VOLUNTAS, V29, P621, DOI 10.1007/s11266-018-0006-y
   Feinberg A., 2020, SUSTAINING COL UNPUB
   Feinberg A, 2023, J URBAN AFF, V45, P142, DOI 10.1080/07352166.2020.1851139
   Follmann A, 2015, LOCAL ENVIRON, V20, P1148, DOI 10.1080/13549839.2014.894966
   Foster S. R., 2019, ROUTLEDGE HDB STUDY, P1
   Foster Sheila., 2015, SSRN ELECT J, DOI DOI 10.2139/SSRN.2653084
   Foster SR, 2011, NOTRE DAME LAW REV, V87, P57
   Frenzel F, 2015, URBAN STUD, V52, P1020, DOI 10.1177/0042098014536239
   Rocha MCF, 2016, LECT NOTES COMPUT SC, V9790, P608, DOI 10.1007/978-3-319-42092-9_46
   Garnett N. S., 2012, U PENN LAW REV, DOI [10.1007/s12110-012-9156-6, DOI 10.1007/S12110-012-9156-6]
   Ghorbani A, 2016, INT J COMMONS, V10, P200, DOI 10.18352/ijc.606
   Ghorbani A, 2013, JASSS-J ARTIF SOC S, V16, DOI 10.18564/jasss.2166
   Giannini V, 2019, PARTECIP CONFL, V12, P941, DOI 10.1285/i20356609v12i3p941
   Gillespie T, 2016, T I BRIT GEOGR, V41, P66, DOI 10.1111/tran.12105
   Gilmore A, 2017, CULT TRENDS, V26, P34, DOI 10.1080/09548963.2017.1274358
   Goldman M, 2015, INT LABOR WORK-CLASS, V87, P137, DOI 10.1017/S0147547915000034
   Grabkowska M, 2018, CITIES, V72, P122, DOI 10.1016/j.cities.2017.08.013
   Han D., 2015, URBAN COMMONS MOVING, P91, DOI [10.1515/9783038214953-006, DOI 10.1515/9783038214953-006]
   Hardt M., 2009, Commonwealth, DOI [10.2307/j.ctvjsf48h, DOI 10.2307/J.CTVJSF48H]
   Harvey D., 2014, Rebel cities. from the right to the city to the right to the urban revolution, V40, DOI [DOI 10.4067/S0250-71612014000100013, 10.4067/S0250 -71612014000100013]
   Hess C., 2008, MAPPING NEW COMMONS, DOI DOI 10.2139/SSRN.1356835
   Hodkinson S., 2012, CITY, V16, P500, DOI DOI 10.1080/13604813.2012.709403
   Huron A, 2018, Carving out the commons: tenant organising and housing cooperatives in Washington, DC, DOI [10.5749/j.ctt2121778, DOI 10.5749/J.CTT2121778]
   Huron A, 2017, URBAN STUD, V54, P1062, DOI 10.1177/0042098016685528
   Huron A, 2015, ANTIPODE, V47, P963, DOI 10.1111/anti.12141
   Jain A, 2014, INT J COMMONS, V8, P513, DOI 10.18352/ijc.461
   Janssen MA, 2006, ECOL SOC, V11
   Jerram Leif., 2015, Urban Commons: Rethinking the City, V1st, P47
   Kalb D, 2017, FOCAAL, P67, DOI 10.3167/fcl.2017.790106
   Lang U, 2014, URBAN GEOGR, V35, P852, DOI 10.1080/02723638.2014.926621
   Lapniewska Z, 2017, REV RADICAL POL ECON, V49, P54, DOI 10.1177/0486613415616217
   Le Gales P, 1998, INT J URBAN REGIONAL, V22, P482, DOI 10.1111/1468-2427.00153
   LEFEBVRE H, 1974, HOMME SOC, P13, DOI 10.3406/homso.1974.1855
   LEFEBVRE H, 1967, HOMME SOC, P29
   Leitheiser S, 2020, URBAN STUD, V57, P894, DOI 10.1177/0042098019869820
   Leitner H, 2018, ENVIRON PLANN A, V50, P437, DOI 10.1177/0308518X17709279
   Linebaugh P, 2008, MAGNA CARTA MANIFESTO: LIBERTIES AND COMMONS FOR ALL, P1
   Lofgren Orvar., 2015, Urban Commons: Rethinking the City, V1st, P68
   McFarlane C., 2011, City, V15, P204, DOI [DOI 10.1080/13604813.2011.568715, 10.1080/13604813.2011.568715]
   McShane I, 2010, URBAN POLICY RES, V28, P101, DOI 10.1080/08111140903487711
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Middleton C, 2008, CAN J COMMUN, V33, P419
   Montagna N, 2019, CITIZENSHIP STUD, V23, P577, DOI 10.1080/13621025.2019.1634375
   Moss T, 2014, INT J COMMONS, V8, P457
   Mukherjee J, 2016, URBANITIES, V6, P78
   Mundoli S, 2017, INT J URBAN SUSTAIN, V9, P184, DOI 10.1080/19463138.2016.1264404
   Mundoli S, 2017, DECISION, V44, P103, DOI 10.1007/s40622-017-0152-x
   Mundoli S, 2015, INT J URBAN SUSTAIN, V7, P89, DOI 10.1080/19463138.2014.982124
   Nagendra H, 2014, ECOL SOC, V19, DOI 10.5751/ES-06582-190267
   Newman A, 2013, ANTIPODE, V45, P947, DOI 10.1111/j.1467-8330.2012.01052.x
   Ni'mah NM, 2017, IOP C SER EARTH ENV, V70, DOI 10.1088/1755-1315/70/1/012058
   Noterman E, 2016, ANTIPODE, V48, P433, DOI 10.1111/anti.12182
   O'Brien DT, 2012, HUM NATURE-INT BIOS, V23, P467, DOI 10.1007/s12110-012-9156-6
   Parker P., 2011, P INT C EUR URB RES
   Parker P, 2017, CODESIGN, V13, P202, DOI 10.1080/15710882.2017.1355000
   Petrescu D, 2016, BUILD RES INF, V44, P717, DOI 10.1080/09613218.2016.1214891
   Pithouse R, 2014, COMMUNITY DEV J, V49, pI31, DOI 10.1093/cdj/bsu013
   Plummer R, 2007, ECOL ECON, V61, P62, DOI 10.1016/j.ecolecon.2006.09.025
   Quigley M, 2018, J URBAN DES, V23, P581, DOI 10.1080/13574809.2018.1440176
   Radywyl N, 2013, J CLEAN PROD, V50, P159, DOI 10.1016/j.jclepro.2012.12.020
   Rao A, 2013, J CREAT COMMUN, V8, P157, DOI 10.1177/0973258613512562
   Resilience Alliance, 2010, ASS RES SOC EC SYST, DOI [DOI 10.1007/S11284-006-0074-0, 10. 1007/s11284-006-0074-0]
   Robson JP, 2015, INT J COMMONS, V9, P698, DOI 10.18352/ijc.548
   Rose C., 1996, LAW HIST REV, V16, DOI [10.2307/744263, DOI 10.2307/744263]
   Sancho GR, 2014, CONVERGENCE-US, V20, P387, DOI 10.1177/1354856514541743
   Ruggiero L, 2018, ACME, V17, P292
   Safransky S, 2017, ANTIPODE, V49, P1079, DOI 10.1111/anti.12225
   Sassen S., 2015, The Guardian
   Scharf N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11040966
   Schauppenlehner-Kloyber E, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070664
   SCHLAGER E, 1992, LAND ECON, V68, P249, DOI 10.2307/3146375
   Sevilla-Buitrago A, 2014, SOC CULT GEOGR, V15, P151, DOI 10.1080/14649365.2013.870594
   Shah A, 2017, ECOL ECON, V135, P280, DOI 10.1016/j.ecolecon.2016.12.017
   Simpson T, 2014, INT J URBAN REGIONAL, V38, P823, DOI 10.1111/1468-2427.12139
   Smith MP, 1998, URBAN AFF REV, V33, P482, DOI 10.1177/107808749803300403
   Sobol A., 2017, CIVIC PARTICIPATION, V2, P8
   Staeheli LA, 2006, URBAN STUD, V43, P977, DOI 10.1080/00420980600676493
   Stavrides Stravos, 2016, Common Space: The City as Commons, DOI [10.5040/9781350219267, DOI 10.5040/9781350219267]
   Susser I, 2017, FOCAAL, P6, DOI 10.3167/fcl.2017.790102
   Susser I, 2017, FOCAAL, P1, DOI 10.3167/fcl.2017.790101
   Susser I, 2013, FOCAAL, P105, DOI 10.3167/fcl.2013.660110
   Teck GLH, 2014, INT J BUILT ENV SUST, V1, P27
   Teli M, 2015, INT J HUM-COMPUT ST, V81, P17, DOI 10.1016/j.ijhcs.2015.02.003
   Thompson E.P., 1966, The Making of the English Working Class
   Tornaghi C, 2017, ANTIPODE, V49, P781, DOI 10.1111/anti.12291
   University of the Aegean, 2017, INT S
   Unnikrishnan H, 2016, INT J COMMONS, V10, P265, DOI 10.18352/ijc.616
   Unteidig A, 2017, DES J, V20, pS3106, DOI 10.1080/14606925.2017.1352818
   Vitale T, 2010, TRANSNATL CORP REV, V2, P35, DOI 10.1080/19186444.2010.11658232
   Vrasti W, 2016, CITIZENSHIP STUD, V20, P994, DOI 10.1080/13621025.2016.1229196
   Webster C, 2007, TOWN PLAN REV, V78, P81, DOI 10.3828/tpr.78.1.6
   Wenger E., 1998, COMMUNITIES PRACTICE, DOI [10.1017/CBO9780511803932, DOI 10.1017/CBO9780511803932]
   Wessendorf S, 2014, EUR J CULT STUD, V17, P392, DOI 10.1177/1367549413510415
   Williams MJ, 2018, GEOGR RES-AUST, V56, P16, DOI 10.1111/1745-5871.12262
   Wise A, 2013, IDENTITIES-GLOB STUD, V20, P37, DOI 10.1080/1070289X.2012.752372
   Young A, 2014, LAW LIT, V26, P145, DOI 10.1080/1535685X.2014.888208
   Zapata P, 2019, ENVIRON PLAN C-POLIT, V37, P339, DOI 10.1177/2399654418783205
NR 142
TC 41
Z9 43
U1 2
U2 22
PU UBIQUITY PRESS LTD
PI LONDON
PA Unit 3N, 6 Osborn Street, LONDON, E1 6TD, ENGLAND
SN 1875-0281
J9 INT J COMMONS
JI Int. J. Commons
PY 2021
VL 15
IS 1
BP 1
EP 20
AR 1033
DI 10.5334/ijc.1033
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WV1OQ
UT WOS:000717007200001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Chocat, B
   Krebs, P
   Marsalek, J
   Rauch, W
   Schilling, W
AF Chocat, B
   Krebs, P
   Marsalek, J
   Rauch, W
   Schilling, W
TI Urban drainage redefined: from stormwater removal to integrated
   management
SO WATER SCIENCE AND TECHNOLOGY
LA English
DT Article; Proceedings Paper
CT 1st World Water Congress of the International-Water-Association (IWA)
CY JUL 03-07, 2000
CL PARIS, FRANCE
SP Int Water Assoc
DE combined sewer overflows (CSOs); drainage; stormwater; sustainable
   development; urbanization; wet-weather pollution
ID WATER
AB Even though urban drainage has been practised for more than 5000 years, many challenges arising from growing demands on drainage still remain with respect to runoff quantity and quality; landscape aesthetics, ecology and beneficial uses; and operation of existing urban wastewater systems. Further advances can be achieved by adopting an integrated approach, optimal operation of the existing infrastructure, advanced pollution and runoff source controls, improved resilience of receiving waters, and adaptive water management. The specific research needs include new technologies and strategies for stormwater management, advanced treatment of urban wet-weather effluents, and tools for analysis and operation of drainage systems. High diversity of demands on, and region/site specific conditions of, urban drainage shapes the role of urban drainage experts - as mediators among the many stakeholders and fields involved.
C1 Inst Natl Sci Appl Lyon, URGC Hydrol Urbaine, F-69621 Villeurbanne, France.
   Dresden Univ Technol, Inst Urban Water Management, D-01602 Dresden, Germany.
   Natl Water Res Inst, Burlington, ON L7R 4A6, Canada.
   EAWAG, Dept Engn Sci, CH-8600 Dubendorf, Switzerland.
   NTNU, Dept Hydraul & Environm Engn, N-7491 Trondheim, Norway.
C3 Institut National des Sciences Appliquees de Lyon - INSA Lyon;
   Technische Universitat Dresden; Environment & Climate Change Canada;
   National Water Research Institute; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute of Aquatic Science &
   Technology (EAWAG); Norwegian University of Science & Technology (NTNU)
RP Chocat, B (corresponding author), Inst Natl Sci Appl Lyon, URGC Hydrol Urbaine, F-69621 Villeurbanne, France.
RI Rauch, Wolfgang/ABC-9481-2020
OI Rauch, Wolfgang/0000-0002-6462-2832
CR Ellis JB, 1996, J HYDRAUL RES, V34, P723, DOI 10.1080/00221689609498446
   ELLIS JB, 1995, WATER SCI TECHNOL, V32, P1, DOI 10.1016/0273-1223(95)00531-Q
   Field R, 1998, J WATER RES PL, V124, P168, DOI 10.1061/(ASCE)0733-9496(1998)124:3(168)
   Herz RK, 1998, J WATER SERV RES TEC, V47, P275, DOI 10.2166/aqua.1998.33
   Krebs P, 1999, WATER SCI TECHNOL, V39, P55, DOI 10.1016/S0273-1223(99)00216-4
   Krebs P, 1997, WATER SCI TECHNOL, V35, P89, DOI 10.2166/wst.1997.0333
   Larsen TA, 1996, WATER SCI TECHNOL, V34, P87, DOI 10.1016/0273-1223(96)00560-4
   Larsen TA, 1997, WATER SCI TECHNOL, V35, P3, DOI 10.2166/wst.1997.0326
   Lawrence A., 1999, P INT C URB STORM DR, P1142
   Niemczynowicz J., 1999, Urban Water, V1, P1, DOI 10.1016/S1462-0758(99)00009-6
   Otterpohl R, 1997, WATER SCI TECHNOL, V35, P121, DOI 10.1016/S0273-1223(97)00190-X
   Rauch W, 1998, WATER SCI TECHNOL, V38, P97, DOI 10.1016/S0273-1223(98)00644-1
   Vanrolleghem PA, 1999, WATER SCI TECHNOL, V39, P257, DOI 10.1016/S0273-1223(99)00072-4
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
NR 19
TC 102
Z9 117
U1 4
U2 89
PU I W A PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 0273-1223
J9 WATER SCI TECHNOL
JI Water Sci. Technol.
PY 2001
VL 43
IS 5
BP 61
EP 68
DI 10.2166/wst.2001.0251
PG 8
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA 425YL
UT WOS:000168319200007
PM 11379157
DA 2025-04-22
ER

PT J
AU Zhang, MY
   Zhang, J
   Li, G
   Zhao, Y
AF Zhang, Mingyuan
   Zhang, Juan
   Li, Gang
   Zhao, Yuan
TI A Framework for Identifying the Critical Region in Water Distribution
   Network for Reinforcement Strategy from Preparation Resilience
SO SUSTAINABILITY
LA English
DT Article
DE water distribution network; cascading failures; infrastructure
   disruption; infrastructure resilience; critical region
ID INTERDEPENDENT INFRASTRUCTURE SYSTEMS; VULNERABILITY ANALYSIS;
   IDENTIFICATION; CENTRALITY
AB Water distribution networks (WDNs), an interconnected collection of hydraulic control elements, are susceptible to a small disturbance that may induce unbalancing flows within a WDN and trigger large-scale losses and secondary failures. Identifying critical regions in a water distribution network (WDN) to formulate a scientific reinforcement strategy is significant for improving the resilience when network disruption occurs. This paper proposes a framework that identifies critical regions within WDNs, based on the three metrics that integrate the characteristics of WDNs with an external service function; the criticality of urban function zones, nodal supply water level and water shortage. Then, the identified critical regions are reinforced to minimize service loss due to disruptions. The framework was applied for a WDN in Dalian, China, as a case study. The results showed the framework efficiently identified critical regions required for effective WDN reinforcements. In addition, this study shows that the attributes of urban function zones play an important role in the distribution of water shortage and service loss of each region.
C1 [Zhang, Mingyuan; Zhang, Juan; Zhao, Yuan] Dalian Univ Technol, Dept Construct Management, Dalian 116000, Peoples R China.
   [Li, Gang] Dalian Univ Technol, Sch Civil Engn, Dalian 116000, Peoples R China.
C3 Dalian University of Technology; Dalian University of Technology
RP Zhang, MY (corresponding author), Dalian Univ Technol, Dept Construct Management, Dalian 116000, Peoples R China.
EM myzhang@dlut.edu.cn; zhangjuandlut@mail.dlut.edu.cn; gli@dlut.edu.cn;
   zy0909@mail.dlut.edu.cn
RI ZHANG, Mingyuan/AAJ-4616-2020; li, gang/MEP-6535-2025
OI Zhang, Juan/0000-0002-0902-8320
FU Fundamental Research Funds for the Central Universities [DUT20ZD401];
   National Key Research and Development Project [2018YFD1100405]
FX This research was funded by the Fundamental Research Funds for the
   Central Universities, grant number DUT20ZD401 and National Key Research
   and Development Project, grant number 2018YFD1100405.
CR Berardi L, 2014, WATER RESOUR RES, V50, P2586, DOI 10.1002/2013WR014770
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Fang DP., 2020, ENG MECH, V37, P28
   Farahmandfar Z, 2018, J PIPELINE SYST ENG, V9, DOI 10.1061/(ASCE)PS.1949-1204.0000293
   Feng KR, 2017, STRUCT SAF, V66, P118, DOI 10.1016/j.strusafe.2017.02.006
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   FREEMAN LC, 1979, SOC NETWORKS, V1, P215, DOI 10.1016/0378-8733(78)90021-7
   Gheisi A, 2014, J AM WATER WORKS ASS, V106, pE319, DOI 10.5942/jawwa.2014.106.0075
   Giustolisi O, 2012, J WATER RES PLAN MAN, V138, P356, DOI 10.1061/(ASCE)WR.1943-5452.0000187
   Giustolisi O, 2010, URBAN WATER J, V7, P1, DOI 10.1080/15730620903287530
   He P, 2016, WATER RESOUR MANAG, V30, P593, DOI 10.1007/s11269-015-1179-4
   He X, 2019, WATER RESOUR MANAG, V33, P3691, DOI 10.1007/s11269-019-02328-2
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Jonas J., 2010, RISK INTERDEPEND CRI
   Khatavkar P, 2019, J WATER RES PLAN MAN, V145, DOI [10.1061/(ASCE)WR.1943-5452.0001112, 10.1061/(asce)wr.1943-5452.0001112]
   Knoke D, 1996, CONTEMP SOCIOL, V25, P275, DOI 10.2307/2077235
   Mazumder RK, 2020, J PIPELINE SYST ENG, V11, DOI 10.1061/(ASCE)PS.1949-1204.0000418
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   Mieler M, 2015, EARTHQ SPECTRA, V31, P1267, DOI 10.1193/082213EQS237M
   Min OY, 2017, EUR J OPER RES, V262, P1072, DOI 10.1016/j.ejor.2017.04.022
   NIEMINEN J, 1974, SCAND J PSYCHOL, V15, P332, DOI 10.1111/j.1467-9450.1974.tb00598.x
   Ouyang M, 2016, RELIAB ENG SYST SAFE, V154, P106, DOI 10.1016/j.ress.2016.05.007
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V141, P74, DOI 10.1016/j.ress.2015.03.011
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Pagano A, 2019, WATER RESOUR MANAG, V33, P2925, DOI 10.1007/s11269-019-02276-x
   Porse E, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000556
   Shuang Q, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088445
   Shuang Q, 2014, RELIAB ENG SYST SAFE, V124, P132, DOI 10.1016/j.ress.2013.12.002
   WAGNER JM, 1988, J WATER RES PL-ASCE, V114, P276, DOI 10.1061/(ASCE)0733-9496(1988)114:3(276)
   Wang SL, 2013, SAFETY SCI, V51, P328, DOI 10.1016/j.ssci.2012.07.003
   Zhang Mingyuan, 2015, Journal of Natural Disasters, V24, P197, DOI 10.13577/j.jnd.2015.0424
   Zhang QZ, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001164
   Zhao S, 2017, RELIAB ENG SYST SAFE, V164, P84, DOI 10.1016/j.ress.2017.02.009
   Zhou F, 2019, ARAB J SCI ENG, V44, P2837, DOI 10.1007/s13369-018-3656-6
   Zhuang BY, 2013, J HYDRAUL ENG, V139, P527, DOI 10.1061/(ASCE)HY.1943-7900.0000676
   Zio E, 2011, RISK ANAL, V31, P1196, DOI 10.1111/j.1539-6924.2011.01584.x
NR 36
TC 6
Z9 6
U1 2
U2 50
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2020
VL 12
IS 21
AR 9247
DI 10.3390/su12219247
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA OR4ED
UT WOS:000589424700001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Anderson, V
   Gough, WA
AF Anderson, Vidya
   Gough, William A.
TI Nature-Based Resilience: A Multi-Type Evaluation of Productive Green
   Infrastructure in Agricultural Settings in Ontario, Canada
SO ATMOSPHERE
LA English
DT Article
DE green roofs; urban agriculture; tree-based intercropping; agroforestry;
   food security
ID AIR-POLLUTION REMOVAL; CARBON SEQUESTRATION; SOUTHERN ONTARIO; URBAN
   VEGETATION; NITROGEN-DIOXIDE; CLIMATE-CHANGE; SURFACE OZONE; HEAT-WAVE;
   OPEN-ROAD; QUALITY
AB Nature-based solutions such as green infrastructure present an opportunity to reduce air pollutant concentrations and greenhouse gas emissions. This paper presents new findings from a controlled field study in Ontario, Canada, evaluating the impact of productive applications of green infrastructure on air pollution and carbon dioxide concentrations across different agricultural morphologies compared to other non-productive applications. This study demonstrates that productive green infrastructure applications are as beneficial as non-productive applications in reducing ozone, nitrogen dioxide, and carbon dioxide concentrations. Nature-based solutions present an opportunity to build climate resilience into agricultural systems through supply-side mitigation and adaptation. The implementation of productive green infrastructure could be a viable agricultural practice to address multiple climate change impacts.
C1 [Anderson, Vidya; Gough, William A.] Univ Toronto Scarborough, Dept Phys & Environm Sci, Climate Lab, Toronto, ON M1C 1A4, Canada.
   [Gough, William A.] Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada.
C3 University of Toronto; University Toronto Scarborough; University of
   Toronto; University Toronto Scarborough
RP Anderson, V (corresponding author), Univ Toronto Scarborough, Dept Phys & Environm Sci, Climate Lab, Toronto, ON M1C 1A4, Canada.
EM vidya.anderson@utoronto.ca; william.gough@utoronto.ca
RI Gough, William/L-5231-2013
OI Anderson, Vidya/0000-0001-6784-4046
FU W.A.G.'s Natural Sciences and Engineering Research Council of Canada
   (NSERC) [RGPIN-2018-06801]
FX The authors are supported by W.A.G.'s Natural Sciences and Engineering
   Research Council of Canada (NSERC) Grant RGPIN-2018-06801.
CR Abhijith KV, 2019, ATMOS ENVIRON, V201, P132, DOI 10.1016/j.atmosenv.2018.12.036
   Abhijith KV, 2017, ATMOS ENVIRON, V162, P71, DOI 10.1016/j.atmosenv.2017.05.014
   Anderson V., 2021, CLIMATE CHANGE EXTRE, P125, DOI 10.1016/B978-0-12-822700-8.00005-6
   Anderson V., 2018, Ph.D. Thesis, DOI DOI 10.1016/j.atmosenv.2012.06.076
   Anderson V, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115763
   Anderson V, 2022, INT J BIOMETEOROL, V66, P397, DOI 10.1007/s00484-021-02100-5
   Anderson V, 2020, CITY ENVIRON INTERAC, V6, DOI 10.1016/j.cacint.2020.100043
   Anderson V, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010379
   Baik JJ, 2012, ATMOS ENVIRON, V61, P48, DOI 10.1016/j.atmosenv.2012.06.076
   Berardi U, 2014, APPL ENERG, V115, P411, DOI 10.1016/j.apenergy.2013.10.047
   Bottalico F, 2016, AGRIC AGRIC SCI PROC, V8, P243, DOI 10.1016/j.aaspro.2016.02.099
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   CohenShacham E., 2016, Nature-based Solutions to address global societal challenges, DOI 10.2305/iucn.ch.2016.13.en
   Coutts C, 2015, INT J ENV RES PUB HE, V12, P9768, DOI 10.3390/ijerph120809768
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Environmental Commissioner of Ontario, FAC CLIM CHANG GREEN
   Environmental Protection Agency (EPA), 2019, EPA COMB EXP NZ CO A
   Evers A. K., 2010, The Open Agriculture Journal, V4, P49, DOI 10.2174/1874331501004010049
   Fiore AM, 2015, J AIR WASTE MANAGE, V65, P645, DOI 10.1080/10962247.2015.1040526
   Gourdji S, 2018, ENVIRON POLLUT, V241, P378, DOI 10.1016/j.envpol.2018.05.053
   Hedin LO, 2000, METHODS IN ECOSYSTEM SCIENCE, P265
   Hillel D., 2008, Sustaining life: biodiversity and food production, P325
   IPCC, 2013, CLIM CHANG 2013 PHYS, DOI DOI 10.1017/CBO9781107415324
   Jacob DJ, 2009, ATMOS ENVIRON, V43, P51, DOI 10.1016/j.atmosenv.2008.09.051
   Janhäll S, 2015, ATMOS ENVIRON, V105, P130, DOI 10.1016/j.atmosenv.2015.01.052
   Jose S, 2009, AGROFOREST SYST, V76, P1, DOI 10.1007/s10457-009-9229-7
   King KL, 2014, LANDSCAPE URBAN PLAN, V128, P14, DOI 10.1016/j.landurbplan.2014.04.009
   Kleerekoper L, 2012, RESOUR CONSERV RECY, V64, P30, DOI 10.1016/j.resconrec.2011.06.004
   Li JF, 2010, BUILD ENVIRON, V45, P2644, DOI 10.1016/j.buildenv.2010.05.025
   Lin BB, 2015, BASIC APPL ECOL, V16, P189, DOI 10.1016/j.baae.2015.01.005
   Lucon O, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P671
   Montagnini F, 2004, AGROFOREST SYST, V61-2, P281, DOI 10.1023/B:AGFO.0000029005.92691.79
   Nowak David J., 2006, Urban Forestry & Urban Greening, V5, P93, DOI [10.1016/j.ufug.2006.04.002, 10.1016/j.ufug.2006.01.007]
   Nowak DJ, 2018, URBAN FOR URBAN GREE, V29, P40, DOI 10.1016/j.ufug.2017.10.019
   Oberndorfer E, 2007, BIOSCIENCE, V57, P823, DOI 10.1641/B571005
   Ordónez C, 2005, ATMOS CHEM PHYS, V5, P1187, DOI 10.5194/acp-5-1187-2005
   Parkins KL, 2015, GLOB ECOL CONSERV, V4, P349, DOI 10.1016/j.gecco.2015.07.011
   Peichl M, 2006, AGROFOREST SYST, V66, P243, DOI 10.1007/s10457-005-0361-8
   Plascencia-Escalante F., 2008, Ph.D. Thesis
   Rao M, 2014, ENVIRON POLLUT, V194, P96, DOI 10.1016/j.envpol.2014.07.011
   Rowe DB, 2011, ENVIRON POLLUT, V159, P2100, DOI 10.1016/j.envpol.2010.10.029
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Sicard P, 2018, ENVIRON POLLUT, V243, P163, DOI 10.1016/j.envpol.2018.08.049
   Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811
   Speak AF, 2012, ATMOS ENVIRON, V61, P283, DOI 10.1016/j.atmosenv.2012.07.043
   Taleghani M, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.134649
   Tan P., 2005, Third Annual Greening Rooftops for Sustainable Communities Conference, P1
   Thevathasan N. V., 2018, Temperate agroforestry systems, P7, DOI 10.1079/9781780644851.0007
   Thevathasan N.V., 2012, The Future of Global Land Use, P9, DOI [10.1007/978-94-007-4676-315, DOI 10.1007/978-94-007-4676-315]
   Thevathasan NV, 2004, AGROFOREST SYST, V61-2, P257, DOI 10.1023/B:AGFO.0000029003.00933.6d
   Thornbush M, 2015, AIMS ENVIRON SCI, V2, P852, DOI 10.3934/environsci.2015.3.852
   Tonietto R, 2011, LANDSCAPE URBAN PLAN, V103, P102, DOI 10.1016/j.landurbplan.2011.07.004
   Tressol M, 2008, ATMOS CHEM PHYS, V8, P2133, DOI 10.5194/acp-8-2133-2008
   Velasco E, 2016, LANDSCAPE URBAN PLAN, V148, P99, DOI 10.1016/j.landurbplan.2015.12.003
   Vieno M, 2010, ATMOS CHEM PHYS, V10, P7963, DOI 10.5194/acp-10-7963-2010
   Vos PEJ, 2013, ENVIRON POLLUT, V183, P113, DOI 10.1016/j.envpol.2012.10.021
   Weaver CP, 2009, B AM METEOROL SOC, V90, P1843, DOI 10.1175/2009BAMS2568.1
   Whittinghill LJ, 2014, LANDSCAPE URBAN PLAN, V123, P41, DOI 10.1016/j.landurbplan.2013.11.015
   Wotherspoon A, 2014, AGROFOREST SYST, V88, P631, DOI 10.1007/s10457-014-9719-0
   Yang J, 2008, ATMOS ENVIRON, V42, P7266, DOI 10.1016/j.atmosenv.2008.07.003
NR 60
TC 9
Z9 9
U1 8
U2 61
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD SEP
PY 2021
VL 12
IS 9
AR 1183
DI 10.3390/atmos12091183
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA UU8PC
UT WOS:000699055900001
OA gold
DA 2025-04-22
ER

PT J
AU Santiago-Iglesias, E
   Carpio-Pinedo, J
   Sun, WZ
   García-Palomares, JC
AF Santiago-Iglesias, Enrique
   Carpio-Pinedo, Jose
   Sun, Wenzhe
   Garcia-Palomares, Juan Carlos
TI Frozen city: Analysing the disruption and resilience of urban activities
   during a heavy snowfall event using Google Popular Times
SO URBAN CLIMATE
LA English
DT Article
DE Climate change; Extreme weather; Urban resilience; Human mobility and
   activity; Location-based big data; Google popular times
ID EXTREME-WEATHER-EVENTS; SOCIAL MEDIA DATA; CLIMATE-CHANGE; SEGREGATION;
   HAZARD; HEALTH
AB Understanding the impact of climate change on cities is fundamental to address the increasing occurrence of extreme weather events. This research aims to raise awareness and emphasise the need and potential of proactive measures to mitigate the adverse effects of climate change. To do so, this article conducts a case study for a huge snowfall that occurred in the city of Madrid (Spain) in January 2021, blocking the city for several days. The analysis is based on geolocated big data sourced from Google Popular Times (GPT), which captures the occupancy of establishments throughout the city over the entire study period. An exploratory spatial-temporal analysis has been conducted to examine the impact of the snowfall on the daily activities of the city, taking into consideration the demographic characteristics. The findings reveal a distinction in the impact of the snowfall on activities. Essential activities experience less impact compared to leisure activities. Furthermore, at the socio-economic level, the impact on low-income neighbourhoods is observed to be less affected than on high-income neighbourhoods. The implications of this research contribute to the body of knowledge on climate change resilience and adaptation, providing valuable insights for urban management strategies and informing future research in this field.
C1 [Santiago-Iglesias, Enrique; Carpio-Pinedo, Jose; Garcia-Palomares, Juan Carlos] Univ Complutense Madrid, tGIS Res Grp, C Profesor Aranguren S-N, Ciudad Univ, Madrid 28040, Spain.
   [Carpio-Pinedo, Jose] Univ Politecn Madrid, Dept Urban & Reg Planning, Madrid, Spain.
   [Sun, Wenzhe] Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto, Japan.
C3 Complutense University of Madrid; Universidad Politecnica de Madrid;
   Kyoto University
RP Santiago-Iglesias, E (corresponding author), Univ Complutense Madrid, tGIS Res Grp, C Profesor Aranguren S-N, Ciudad Univ, Madrid 28040, Spain.
EM ensantia@ucm.es; jose.carpio@upm.es; jose.carpio@upm.es;
   wz.sun@trans.kuciv.kyoto-u.ac.jp
RI Sun, Wenzhe/AAY-7002-2020; Carpio-Pinedo, Jose/ADE-0363-2022;
   Garcia-Palomares, Juan Carlos/J-1310-2016
OI Garcia-Palomares, Juan Carlos/0000-0002-8759-6809; Carpio-Pinedo,
   Jose/0000-0003-1508-4246; Sun, Wenzhe/0000-0002-7305-8671;
   Santiago-Iglesias, Enrique/0000-0001-5489-3877
FU DARUMA R + D + i project [PCI2020-120706-2/AEI/10.13039/501100011033/];
   EIG CONCERT-Japan DARUMA project; JST SICORP, Japan [JPMJSC20C4]
FX This publication is part of the DARUMA R + D + i project
   (PCI2020-120706-2/AEI/10.13039/501100011033/) . This work was also
   supported by the EIG CONCERT-Japan DARUMA project, Grant Number
   JPMJSC20C4 funded by JST SICORP, Japan.
CR Ard K, 2016, POPUL ENVIRON, V38, P1, DOI 10.1007/s11111-015-0251-6
   Bell VA, 2016, CLIMATIC CHANGE, V136, P539, DOI 10.1007/s10584-016-1637-x
   Bernabeu-Bautista A, 2023, CITIES, V137, DOI 10.1016/j.cities.2023.104337
   Brutel-Vuilmet C, 2013, CRYOSPHERE, V7, P67, DOI 10.5194/tc-7-67-2013
   Carpio-Pinedo J, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103894
   Carpio-Pinedo J, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102859
   Carpio-Pinedo Jose., 2020, Spaces of Consumption in the Mobile Metropolis: Symbolic Capital, Multi-Accessibility and Spatial Conditions for Social Interaction, DOI [10.20868/UPM.thesis.65613, DOI 10.20868/UPM.THESIS.65613]
   Cerruti BJ, 2011, B AM METEOROL SOC, V92, P721, DOI 10.1175/2010BAMS3191.1
   Cui Y, 2018, TRANSPORT RES C-EMER, V97, P159, DOI 10.1016/j.trc.2018.10.017
   De Freitas C. R., 1975, Journal of Applied Meteorology, V14, P1166, DOI 10.1175/1520-0450(1975)014<1166:EOTDIO>2.0.CO;2
   De Sario M, 2013, EUR RESPIR J, V42, P826, DOI 10.1183/09031936.00074712
   Deng X., 2017, P 3 ACM SIGSPATIAL W, P1, DOI [10.1145/3152178.3152182, DOI 10.1145/3152178.3152182]
   Duro J, 2022, ANN TOUR RES EMPIR I, V3, DOI 10.1016/j.annale.2022.100039
   European Environment Agency, 2023, Economic Losses from Climate-Related Extremes in Europe (8th EAP)
   European Environment Agency, 2022, Briefing - Economic Losses and Fatalities from Weatherand Climate-Related Events in Europe
   Faranda D, 2020, WEATHER CLIM DYNAM, V1, P445, DOI 10.5194/wcd-1-445-2020
   Foster A, 2024, J URBAN AFF, V46, P493, DOI 10.1080/07352166.2022.2083514
   Freeman M, 2011, J CASES INF TECHNOL, V13, P69, DOI 10.4018/jcit.2011040105
   Gascón E, 2015, ATMOS RES, V153, P250, DOI 10.1016/j.atmosres.2014.08.001
   Gehl J., 1987, Life Between Buildings-Using Public Space
   Google, 2020, Popular Times, Wait Times, and Visit Duration
   Grove JM, 2006, ECOSYSTEMS, V9, P578, DOI 10.1007/s10021-006-0116-z
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   López-Moreno JI, 2011, CLIMATIC CHANGE, V105, P489, DOI 10.1007/s10584-010-9889-3
   IPCC, 2021, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Jaagus J, 1997, CLIMATIC CHANGE, V36, P65, DOI 10.1023/A:1005304720412
   Jahn M, 2015, WEATHER CLIM EXTREME, V10, P29, DOI 10.1016/j.wace.2015.08.005
   Jenelius E, 2012, TRANSPORT RES A-POL, V46, P746, DOI 10.1016/j.tra.2012.02.003
   Kryvasheyeu Y, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500779
   Lin AN, 2021, IEEE J-STARS, V14, P8864, DOI 10.1109/JSTARS.2021.3107543
   Logan JohnR. Harry L. Molotch., 1987, URBAN FORTUNES POLIT
   Lorenzo-Sáez E, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101125
   Lu T., 2018, ISEE Conference Abstracts, V2018, DOI [https://doi.org/10.1289/isesisee.2018.O01.04.08, DOI 10.1289/ISESISEE.2018.O01.04.08]
   Mahajan V, 2021, EUR TRANSP RES REV, V13, DOI 10.1186/s12544-021-00485-3
   Martí P, 2019, COMPUT ENVIRON URBAN, V74, P161, DOI 10.1016/j.compenvurbsys.2018.11.001
   McBean G, 2004, NAT HAZARDS, V31, P177, DOI 10.1023/B:NHAZ.0000020259.58716.0d
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Möhring M, 2021, TOUR REV, V76, P553, DOI 10.1108/TR-10-2018-0152
   Mortezapour M, 2022, CLIMATIC CHANGE, V172, DOI 10.1007/s10584-022-03360-9
   Musterd S, 2017, URBAN GEOGR, V38, P1062, DOI 10.1080/02723638.2016.1228371
   Neise T, 2021, INT J HOSP MANAG, V96, DOI 10.1016/j.ijhm.2021.102960
   Ohba M, 2020, CLIM DYNAM, V54, P3151, DOI 10.1007/s00382-020-05163-z
   González MEP, 2022, B ASOC GEOGR ESP, DOI 10.21138/bage.3133
   PERRY AH, 1980, SCOT GEOGR MAG, V96, P20, DOI 10.1080/00369228008736446
   Ratti C, 2016, The city of tomorrow: Sensors, networks, hackers, and the future of urban life
   Romshoo SA, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-021-03297-5
   ROONEY JF, 1967, GEOGR REV, V57, P538, DOI 10.2307/212932
   Schmidlin T, 1990, P 47 ANN E SNOW C
   Shi R, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100979
   Smith Adam B, 2020, NCEI
   Squires MF, 2014, B AM METEOROL SOC, V95, P1835, DOI 10.1175/BAMS-D-13-00101.1
   Stott P, 2016, SCIENCE, V352, P1517, DOI 10.1126/science.aaf7271
   Talavera-Garcia R, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182111037
   Vitello P., 2023, TRANSP RES BOARD TRB
   Vongvanich Teethat, 2023, Data Science for Transportation, DOI 10.1007/s42421-023-00072-z
   Wang Q, 2015, PROCEDIA ENGINEER, V118, P942, DOI 10.1016/j.proeng.2015.08.535
   Wang XB, 2022, GLOB FOOD SECUR-AGR, V35, DOI 10.1016/j.gfs.2022.100658
   Woo B, 2019, RACE SOC PROBL, V11, P60, DOI 10.1007/s12552-018-9254-0
   Wu XJ, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.143025
   Xie QJ, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100932
   Xu JY, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101414
   Yao Y, 2017, INT J GEOGR INF SCI, V31, P825, DOI 10.1080/13658816.2016.1244608
   Zenner K., 2016, The Analysis of Urban Effects on Winter Snowfall in the Saint Louis Metropolitan Area, DOI [10.31274/mteor_stheses-180813-1, DOI 10.31274/MTEOR_STHESES-180813-1]
NR 63
TC 7
Z9 7
U1 3
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2023
VL 51
AR 101644
DI 10.1016/j.uclim.2023.101644
EA AUG 2023
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA S4XP9
UT WOS:001071216500001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Allam, Z
   Bibri, SE
   Chabaud, D
   Moreno, C
AF Allam, Zaheer
   Bibri, Simon Elias
   Chabaud, Didier
   Moreno, Carlos
TI The Theoretical, Practical, and Technological Foundations of the
   15-Minute City Model: Proximity and Its Environmental, Social and
   Economic Benefits for Sustainability
SO ENERGIES
LA English
DT Article
DE 15-Minute City; compact city; eco-city; smart city; proximity;
   mixed-land use; urban computing and intelligence; sustainability;
   decarbonisation; urban planning and design
ID URBAN; INNOVATION; STOCKHOLM; FORM
AB Conventional and emerging paradigms of urbanism require new responses under the current circumstances, especially in relation to the integration of sustainability dimensions and technology advances. The escalating rate of urbanization, coupled with the climate emergency, fundamentally indeed disrupt the challenges that urbanism research and practice deal with, calling for adopting more innovative approaches to urban planning and design. With cities contributing around 65% of Greenhouse Gas (GHG) emissions and experiencing an unprecedented growth of population, contemporary urban policy needs to be redefined and re-assessed accordingly. While numerous urban models, such as the Compact City, the Eco-City, the Sustainable City, and the Smart City, have emerged in response to the challenges of sustainability and urbanization, the 15-Minute City has recently gained a steep popularity. This paper explores the theoretical, practical, and technological foundations of the 15-Minute City, with a particular focus on the proximity dimension of mixed land-use and its environmental, social, and economic benefits of sustainability as supported by smart technologies. We argue that this evolving model of urbanism has the potential to gain more expansion and success in regard to building more sustainable, efficient, resilient, equitable, and inclusive cities in line with the global agendas of Sustainable Development Goal (SDG) 11, as it adds a strategic value to the amalgam of the prevailing and emerging paradigms of urbanism and their synergies with respect to increasing the benefits of sustainability while emphasizing its environmental dimension.
C1 [Allam, Zaheer; Chabaud, Didier; Moreno, Carlos] Univ Paris 1 Pantheon Sorbonne, IAE Paris Sorbonne Business Sch, Chaire Entrepreneuriat Terr Innovat ETI, F-75013 Paris, France.
   [Allam, Zaheer] Deakin Univ, Sch Architecture & Built Environm, Live Smart Res Lab, Geelong, Vic 3220, Australia.
   [Allam, Zaheer; Bibri, Simon Elias] Hiroshima Univ, Network Educ & Res Peace & Sustainabil, Higashihiroshima 7398530, Japan.
   [Bibri, Simon Elias] Norwegian Univ Sci & Technol, Dept Comp Sci, Sem Saelands Veie 9, NO-7491 Trondheim, Norway.
   [Bibri, Simon Elias] Norwegian Univ Sci & Technol, Dept Architecture & Planning, Alfred Getz Vei 3,Sentralbygg 1,5th Floor, NO-7491 Trondheim, Norway.
C3 Deakin University; Hiroshima University; Norwegian University of Science
   & Technology (NTNU); Norwegian University of Science & Technology (NTNU)
RP Allam, Z (corresponding author), Univ Paris 1 Pantheon Sorbonne, IAE Paris Sorbonne Business Sch, Chaire Entrepreneuriat Terr Innovat ETI, F-75013 Paris, France.; Allam, Z (corresponding author), Deakin Univ, Sch Architecture & Built Environm, Live Smart Res Lab, Geelong, Vic 3220, Australia.; Allam, Z (corresponding author), Hiroshima Univ, Network Educ & Res Peace & Sustainabil, Higashihiroshima 7398530, Japan.
EM zaheerallam@gmail.com
RI MORENO, Carlos/GQH-3368-2022
OI MORENO, Carlos/0000-0003-0207-6626; Bibri, Simon
   Elias/0009-0003-8559-6885; Allam, Zaheer/0000-0001-7682-5912
CR Alagirisamy Bharani, 2022, Sustainable Cities and Resilience: Select Proceedings of VCDRR 2021. Lecture Notes in Civil Engineering (183), P301, DOI 10.1007/978-981-16-5543-2_25
   Alexander C., 2002, The nature of order: The process of creating life
   Alexander C., 2002, The luminous ground: An essay on the art of building and the nature of the universe
   Alexander C., 2002, VISION LIVING WORLD
   Alexander C., 1977, A Pattern Language
   Alexander C., 2002, The Nature of Order: The phenomenon of life
   Alexander Christopher., 2002, The Phenomenon of Life: An Essay on the Art of Building and the Nature of the Universe
   Allam, 2021, RISE AUTONOMOUS SMAR, P7, DOI [10.1007/978-3-030-59448-0_2, DOI 10.1007/978-3-030-59448-0_2]
   Allam Z., 2020, CITIES CLIMATE CHANG
   Allam Z, 2021, RISE AUTONOMOUS SMAR, P31
   Allam Z., 2020, Cities and Climate Change: Climate Policy, Economic Resilience and Urban Sustainability, P55
   Allam Z, 2022, SMART CITIES-BASEL, V5, P771, DOI 10.3390/smartcities5030040
   Allam Z, 2022, HUM SOC SCI COMMUN, V9, DOI 10.1057/s41599-022-01145-0
   Allam Z, 2022, LANCET PLANET HEALTH, V6, pE181, DOI 10.1016/S2542-5196(22)00014-6
   Allam Z, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22041369
   Allam Z, 2020, CITIES AND THE DIGITAL REVOLUTION: ALIGNING TECHNOLOGY AND HUMANITY, P107, DOI 10.1007/978-3-030-29800-5_5
   Allam Z, 2019, SMART CITIES-BASEL, V2, P118, DOI 10.3390/smartcities2020009
   Allam Z, 2019, ECONOMIES, V7, DOI 10.3390/economies7020062
   Ameer S, 2018, IEEE VTS VEH TECHNOL
   [Anonymous], 2013, Cities for People
   [Anonymous], COMPETITIVE EUROPEAN, DOI DOI 10.1007/978-3-642-79955-6_4
   [Anonymous], GOOGL TRENDS COMP CO
   [Anonymous], 2010, CITIES CLIMATE CHANG
   [Anonymous], 2015, Paris Agreement
   [Anonymous], United Nations Goal 11: Make Cities Inclusive, Safe, Resilient and Sustainable
   [Anonymous], 2011, TRANSF OUR WORLD 203
   [Anonymous], 2016, The New Urban Agenda
   [Anonymous], 2020, Covid-19: The Great Lockdown and its Impact on Small Business, SME Competitiveness Outlook 2020
   [Anonymous], GOAL 11 SUST CIT COM
   Askew K, COPING COVID 19 INSP
   Bibri Simon Elias, 2021, Energy Informatics, V4, DOI 10.1186/s42162-021-00138-8
   Bibri Simon Elias, 2020, Energy Informatics, V3, DOI 10.1186/s42162-020-00133-5
   Bibri Simon Elias, 2020, Energy Informatics, V3, DOI [10.1186/s42162-020-00108-6, 10.1186/s42162-020-00130-8]
   Bibri S. E., 2023, World Futures, V79, P703, DOI [10.1080/026040272021.1969977, DOI 10.1080/02604027.2021.1969877]
   Bibri SE, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105830
   Bibri SE, 2021, EUR J FUTURES RES, V9, DOI 10.1186/s40309-021-00181-4
   Bibri SE, 2021, COMPUT URBAN SCI, V1, DOI 10.1007/s43762-021-00008-9
   Bibri SE, 2020, DEV BUILT ENVIRON, V4, DOI 10.1016/j.dibe.2020.100021
   Bibri SE, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104703
   Bibri SE, 2018, PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA'18), DOI 10.1145/3286606.3286788
   Blasi S, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103793
   Bollettino V, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100250
   Brussat D, UGLY USELESS MODERN
   Bulow J., DEBT PANDEMIC NEW ST
   C40 Cities, WHY CIT END CLIM CHA
   Caniggia G., 2001, Architectural composition and building typology: interpreting basic building, V176
   Caprotti F., 2020, The Routledge companion to smart cities, P200
   Chen JJ, 2021, J ADV TRANSPORT, V2021, DOI 10.1155/2021/7552180
   Combi Mariella., 2016, Cultural Heritage in a Changing World, P3
   Dafnomilis I, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.840933
   Deloitte, 2020, INT TAX US HIGHL 202, P1
   Department for Business Energy and Industrial Strategy, 2022, 2020 UK GREENH GAS E, P1
   Desapriya EBR, 2005, BMJ-BRIT MED J, V331, P966, DOI 10.1136/bmj.331.7522.966-e
   Dingil AE, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8080227
   Dornhöfer M, 2019, IEEE INT SM C CONF, P691, DOI [10.1109/ISC246665.2019.9071703, 10.1109/isc246665.2019.9071703]
   Duany A., 2000, Suburban Nation. The Rise of Sprawl and the Decline of the American Dream
   Evans G., 2007, Urban Sustainability through Environmental Design, V1st edition
   Farr D., 2008, Sustainable Urbanism: Urban Design with Nature
   Forster P., 2021, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P923, DOI [DOI 10.1017/9781009157896, 10.1017/9781009157896.009., DOI 10.1017/9781009157896.009]
   Global Infrastructure H, PRIV SECT ROL PART
   Gossling S, 2020, J URBAN DES, V25, P443, DOI 10.1080/13574809.2020.1727318
   Grossi G, 2021, CITIES, V114, DOI 10.1016/j.cities.2021.103193
   Habitat U.N., 2015, ISS PAP URB SPAT PLA
   Hellberg S., 2014, Gothenburg 2035: Transport Strategy for a Close-Knit City
   Hofstad, 2012, EUR J SPAT DEV, V10, P23
   Holmstedt L, 2017, J CLEAN PROD, V140, P72, DOI 10.1016/j.jclepro.2016.07.019
   Iverot Sofie Pandis, 2011, Environment Development and Sustainability, V13, P1043, DOI 10.1007/s10668-011-9304-x
   Jane J., 1961, DEATH LIFE GREAT AM
   Jenks M, 2010, FUTURE CITY, V2, P1
   Jiang B, 2016, PHYSICA A, V463, P475, DOI 10.1016/j.physa.2016.07.038
   Kärrholm M, 2011, EUR PLAN STUD, V19, P97, DOI 10.1080/09654313.2011.530394
   Kateja A, 2012, PROCD SOC BEHV, V37, P368, DOI 10.1016/j.sbspro.2012.03.302
   Khattak A.J., 2003, ANAL ROLLOVERS INJUR, V1840, P167
   Krier L., 1984, Houses, palaces and cities
   KRIER L., 2009, The Architecture of Community
   Lei XT, 2022, MANAG DECIS ECON, V43, P1482, DOI 10.1002/mde.3469
   Ma D, 2022, J BUS RES, V145, P801, DOI 10.1016/j.jbusres.2022.03.041
   Majeed A, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0265755
   Malmo City Planning Office, 2015, VASTR HAMN CURR URB
   Marquet O, 2015, CITIES, V42, P258, DOI 10.1016/j.cities.2014.10.012
   Matthews D, VERY DETAILED WALKTH
   Mehaffy MichaelW., 2011, Built Environ, V37, P479
   Moreno C., The 15 minutes-city: for a new chrono-urbanism!
   Moreno C, SMART CITY
   Moreno C, 2021, SMART CITIES-BASEL, V4, P93, DOI 10.3390/smartcities4010006
   Neuman M, 2005, J PLAN EDUC RES, V25, P11, DOI 10.1177/0739456X04270466
   Nieuwenhuijsen MJ, 2016, ENVIRON INT, V94, P251, DOI 10.1016/j.envint.2016.05.032
   Nikitin K., 2016, Data-driven cities: from concept to applied solutions
   OECD, 2021, FORWARD LOOKING SCEN
   Omobowale EB, 2010, BMC INT HEALTH HUM R, V10, DOI 10.1186/1472-698X-10-19
   Open D, IS MODERN MONETARY T
   Organisation for Economic Co-Operation and Development, 2000, OECD WORKING PAPERS, VVolume 8
   Pasichnyi O, 2019, J CLEAN PROD, V233, P546, DOI 10.1016/j.jclepro.2019.05.373
   Qiu LH, 2022, ENERG CONVERS MANAGE, V267, DOI 10.1016/j.enconman.2022.115879
   Qiu LH, 2022, J ENERGY STORAGE, V51, DOI 10.1016/j.est.2022.104447
   Rathore MM, 2016, COMPUT NETW, V101, P63, DOI 10.1016/j.comnet.2015.12.023
   Register Richard., 2006, Ecocities: Rebuilding Cities in Balance with Nature
   Salingaros N.A., 2000, Journal of Urban Design, P291
   Salingaros N.A., 2006, Crossover: Architecture, Urbanism, Technology, P100
   Scruton R, CITIES LIVING ANTIMO
   Sharifi A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137140
   Sheng H, 2022, IEEE T CIRC SYST VID, V32, P7880, DOI 10.1109/TCSVT.2022.3187664
   Sheng H, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.950055
   Silva BN, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18092994
   Spath P., 2017, Smart-eco cities in germany: Trends and city profiles
   Sutherland MK, 2017, DG.O 2017: THE PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH: INNOVATIONS AND TRANSFORMATIONS IN GOVERNMENT, P471, DOI 10.1145/3085228.3085239
   Swilling M., 2018, A Report by the International Resource Panel
   Thornbush M., 2019, SUSTAINABLE URBANISM
   Tura N, 2022, CITIES, V126, DOI 10.1016/j.cities.2022.103716
   UNFCCC, GLOB CLIM ACT COP 26
   United Nations, 2020, WORLD CIT REP 2020
   United Nations, CIT POLL
   Vandy K, CORONAVIRUS PANDEMIC
   Wang ZC, 2022, ENVIRON SCI POLLUT R, V29, P4641, DOI 10.1007/s11356-021-15946-4
   Wiggins B., CARS ARE MAJOR SOURC
   Wu XM, 2021, SUSTAIN DEV, V29, P1037, DOI 10.1002/sd.2192
   Xu Y., 2021, The Palgrave Handbook of Climate Resilient Societies, DOI [10.1007/978-3-030-32811-539-1, DOI 10.1007/978-3-030-38948-2_178-1, DOI 10.1007/978-3-030-32811-539-1]
   Yaldiz E, 2013, PROCD SOC BEHV, V140, P221, DOI 10.1016/j.sbspro.2014.04.413
   Zaheer A, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101841
   Zheng Y, 2017, FRONT COMPUT SCI-CHI, V11, P1, DOI 10.1007/s11704-016-6907-2
NR 120
TC 39
Z9 41
U1 20
U2 106
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD AUG
PY 2022
VL 15
IS 16
AR 6042
DI 10.3390/en15166042
PG 20
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA 4D4NR
UT WOS:000847119300001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Wang, P
   Qiao, WH
   Wang, YY
   Cao, SC
   Zhang, YH
AF Wang, Peng
   Qiao, Wenhui
   Wang, Yuyi
   Cao, Shuchao
   Zhang, Yuhu
TI Urban drought vulnerability assessment ? A framework to integrate socio-
   economic, physical, and policy index in a vulnerability contribution
   analysis
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Drought; Urban drought vulnerability; Contribution analysis;
   Anthropogenic indicators
ID CLIMATE-CHANGE; AGRICULTURAL DROUGHT; WATER-QUALITY; RISK; IMPACT;
   TIANJIN; AFRICA; URBANIZATION; ENVIRONMENT; RESILIENCE
AB The frequent occurrence of drought seriously hinders urban sustainable development. Decreasing urban drought and reducing drought risk entails a good understanding of urban drought vulnerability (UDV). Based on physical, socio-economic, and political indicators, this study evaluated and analyzed the urban drought vulnerability in the Beijing-Tianjin-Hebei (BTH) region from the following aspects: spatio-temporal analysis and contribution analysis. Results indicated that (1) the UDV of 13 cities kept increasing from 1990 to 2016. By 2016, 13 cities were highly vulnerable; (2) social and economic factors were considered as the main factors contributing to high drought vulnerability; and (3) public budget expenditure, GDP, and indicators related to education significantly contributed to UDV. This study provides a theoretical basis for the government to manage drought.
C1 [Wang, Peng; Qiao, Wenhui] Jiangsu Univ, Fac Civil Engn & Mech, Zhanjiang 212013, Peoples R China.
   [Wang, Yuyi] Minist Ecol & Environm, Foreign Environm Cooperat Ctr, Beijing 100035, Peoples R China.
   [Cao, Shuchao] Jiangsu Univ, Sch Automot & Traff Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
   [Zhang, Yuhu] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China.
C3 Jiangsu University; Jiangsu University; Capital Normal University
RP Wang, P (corresponding author), Jiangsu Univ, Fac Civil Engn & Mech, Zhanjiang 212013, Peoples R China.
EM upeswp@ujs.edu.cn
OI Cao, Shuchao/0000-0001-9224-8887
FU National Natural Science Foundation of China [51908249]; Natural Science
   Foundation of the Jiangsu Higher Education Institutions of China
   [19KIB560012]; High-level Scientific Research Foundation for the
   introduction of talent for Jiangsu University [18JDG038]
FX This work was supported by the National Natural Science Foundation of
   China [Grant No. 51908249], the Natural Science Foundation of the
   Jiangsu Higher Education Institutions of China [Grant No. 19KIB560012],
   the High-level Scientific Research Foundation for the introduction of
   talent for Jiangsu University [Grant No. 18JDG038].
CR Abebe Y, 2018, J CLEAN PROD, V174, P1629, DOI 10.1016/j.jclepro.2017.11.066
   Ahmadalipour A, 2019, SCI TOTAL ENVIRON, V662, P672, DOI 10.1016/j.scitotenv.2019.01.278
   Ahmadalipour A, 2018, SCI TOTAL ENVIRON, V644, P520, DOI 10.1016/j.scitotenv.2018.07.023
   [Anonymous], 2011, The Town Planning Review, DOI [10.1787/9789264091375-en, DOI 10.1787/9789264091375-EN]
   Beijing Municipal Bureau of Statistics, 2017, BEIJ STAT YB 2005 20
   Berbel J, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101969
   Boruff B, 2018, APPL GEOGR, V91, P131, DOI 10.1016/j.apgeog.2017.12.016
   Busby J, 2018, WORLD DEV, V112, P88, DOI 10.1016/j.worlddev.2018.07.007
   Chang SE, 2018, APPL GEOGR, V91, P81, DOI 10.1016/j.apgeog.2017.12.017
   Chen HP, 2017, J HYDROL, V544, P306, DOI 10.1016/j.jhydrol.2016.11.044
   Cooper RG, 2014, RES TECHNOL MANAGE, V57, P20, DOI 10.5437/08956308X5606963
   Etienne E, 2016, J HYDROL, V534, P219, DOI 10.1016/j.jhydrol.2015.12.060
   Fatemi F, 2017, INT J DISAST RISK RE, V22, P219, DOI 10.1016/j.ijdrr.2016.09.006
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Haile GG, 2019, EARTH-SCI REV, V193, P146, DOI 10.1016/j.earscirev.2019.04.015
   Hannaford MJ, 2018, GLOBAL PLANET CHANGE, V166, P94, DOI 10.1016/j.gloplacha.2018.05.001
   Hao ZC, 2017, ENVIRON MODELL SOFTW, V91, P199, DOI 10.1016/j.envsoft.2017.02.008
   Hazbavi Z, 2018, ECOL INDIC, V87, P196, DOI 10.1016/j.ecolind.2017.12.054
   Hebei Provincial Bureau of Statistics, 2017, HEB EC YB 1991 2017
   Hoffmann R, 2017, WORLD DEV, V96, P32, DOI 10.1016/j.worlddev.2017.02.016
   HUNT BG, 1991, VEGETATIO, V91, P89, DOI 10.1007/BF00036050
   Jiao WZ, 2019, J HYDROL, V574, P169, DOI 10.1016/j.jhydrol.2019.04.037
   Kamali B, 2018, GLOBAL PLANET CHANGE, V162, P266, DOI 10.1016/j.gloplacha.2018.01.011
   Kim H, 2015, J HYDRO-ENVIRON RES, V9, P28, DOI 10.1016/j.jher.2013.07.003
   Kim JS, 2019, ECOL INDIC, V103, P688, DOI 10.1016/j.ecolind.2019.04.052
   Nguyen KA, 2019, SCI TOTAL ENVIRON, V682, P31, DOI 10.1016/j.scitotenv.2019.04.069
   Kita SM, 2017, INT J DISAST RISK RE, V22, P158, DOI 10.1016/j.ijdrr.2017.03.010
   Koutroulis AG, 2019, GLOBAL PLANET CHANGE, V175, P52, DOI 10.1016/j.gloplacha.2019.01.013
   Li XL, 2016, AMBIO, V45, P350, DOI 10.1007/s13280-015-0727-8
   Liu Q, 2019, APPL MATH COMPUT, V355, P96, DOI 10.1016/j.amc.2019.02.058
   Liu X, 2019, SCI TOTAL ENVIRON, V685, P1042, DOI 10.1016/j.scitotenv.2019.06.260
   Mahmoud SH, 2018, SCI TOTAL ENVIRON, V633, P1329, DOI 10.1016/j.scitotenv.2018.03.290
   Marcos-Garcia P, 2017, J HYDROL, V554, P292, DOI 10.1016/j.jhydrol.2017.09.028
   McCann DGC, 2011, CURR OPIN ENV SUST, V3, P480, DOI 10.1016/j.cosust.2011.10.011
   Mosoarca M, 2019, ENG FAIL ANAL, V101, P86, DOI 10.1016/j.engfailanal.2019.03.013
   Muttarak R, 2014, ECOL SOC, V19, DOI 10.5751/ES-06476-190142
   National Bureau of Statistics China, 2017, CIT STAT YB 1991 201
   Nazemi A, 2018, SUSTAIN CITIES SOC, V41, P925, DOI 10.1016/j.scs.2017.09.011
   Niu J, 2019, ECOL INDIC, V105, P329, DOI 10.1016/j.ecolind.2017.10.048
   Oikonomou PD, 2019, J HYDROL, V569, P265, DOI 10.1016/j.jhydrol.2018.11.058
   Oppenheimer A. M., 2012, CLIMATE CHANGE NEW D, DOI [10.1017/CBO9781139177245.004, DOI 10.1017/CBO9781139177245.004]
   Parsons DJ, 2019, AGR SYST, V173, P119, DOI 10.1016/j.agsy.2019.02.015
   Qi Y, 2018, J CLEAN PROD, V182, P1048, DOI 10.1016/j.jclepro.2018.02.090
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V656, P150, DOI 10.1016/j.scitotenv.2018.11.349
   Sharma U, 2013, ECOL SOC, V18, DOI 10.5751/ES-05439-180218
   Shen ZX, 2019, J HYDROL, V571, P793, DOI 10.1016/j.jhydrol.2019.02.028
   Sivakumar MVK, 2014, WEATHER CLIM EXTREME, V3, P126, DOI 10.1016/j.wace.2014.03.007
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   Soon JM, 2019, FOOD CONTROL, V101, P225, DOI 10.1016/j.foodcont.2019.03.002
   Srinivasan V, 2013, GLOBAL ENVIRON CHANG, V23, P229, DOI 10.1016/j.gloenvcha.2012.10.002
   Stefano L. D., 2015, TECHNICAL REPORT, V26, P128
   Sun L, 2018, RENEW SUST ENERG REV, V93, P27, DOI 10.1016/j.rser.2018.04.111
   Tapia C, 2017, ECOL INDIC, V78, P142, DOI 10.1016/j.ecolind.2017.02.040
   Tianjin Municipal Bureau of Statistics, 2017, TIANJ STAT YB 2004 2
   van Vliet MTH, 2008, J HYDROL, V353, P1, DOI 10.1016/j.jhydrol.2008.01.001
   Wang L, 2019, J HYDROL, V571, P651, DOI 10.1016/j.jhydrol.2019.02.023
   Wang YM, 2019, SCI TOTAL ENVIRON, V646, P1327, DOI 10.1016/j.scitotenv.2018.07.316
   Ward PS, 2017, DISASTERS, V41, P324, DOI 10.1111/disa.12199
   West H, 2019, REMOTE SENS ENVIRON, V232, DOI 10.1016/j.rse.2019.111291
   Wilhelmi OV, 2002, NAT HAZARDS, V25, P37, DOI 10.1023/A:1013388814894
   Wu CG, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101220
   Yang P, 2018, SCI TOTAL ENVIRON, V627, P951, DOI 10.1016/j.scitotenv.2018.01.234
   Yuan XC, 2015, NAT HAZARDS, V76, P667, DOI 10.1007/s11069-014-1514-8
   Zarafshani K, 2012, GLOBAL PLANET CHANGE, V98-99, P122, DOI 10.1016/j.gloplacha.2012.08.012
   Zhang GX, 2019, J CLEAN PROD, V238, DOI 10.1016/j.jclepro.2019.117848
   Zhang Q, 2015, THEOR APPL CLIMATOL, V121, P337, DOI 10.1007/s00704-014-1234-8
   Zhang X, 2019, SCI TOTAL ENVIRON, V693, DOI 10.1016/j.scitotenv.2019.07.342
   Zhang X, 2017, REMOTE SENS ENVIRON, V188, P141, DOI 10.1016/j.rse.2016.10.045
   Zhao Z, 2018, TECHNOL FORECAST SOC, V137, P19, DOI 10.1016/j.techfore.2018.09.031
NR 69
TC 72
Z9 74
U1 16
U2 119
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD MAR
PY 2020
VL 54
AR 102004
DI 10.1016/j.scs.2019.102004
PG 11
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA MF8GR
UT WOS:000545577700042
DA 2025-04-22
ER

PT J
AU Han, PY
   Hu, HZ
   Zhou, JY
   Wang, M
   Zhou, ZX
AF Han, Pingyang
   Hu, Haozhi
   Zhou, Jiayan
   Wang, Min
   Zhou, Zhixiang
TI Integrating key ecosystem services to study the spatio-temporal dynamics
   and determinants of ecosystem health in Wuhan's central urban area
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Ecosystem health; Ecosystem service; Wuhan 's central urban area;
   Ecosystem health zoning; Vigor-Organization-Resilience-Service (VORS)
ID RISK-ASSESSMENT; GREEN SPACES; CITY; ALGORITHM; PATTERNS; INDEXES;
   MODEL; BASIN
AB The central areas of many Chinese cities have experienced large-scale urbanization in recent decades, a trend that is affecting the quality of life of residents and posing challenges to the sustainable development of urban ecosystems. Hence, it is vital to conduct assessments of urban ecosystems' health conditions to ensure their sustainability. In this study, the spatial and temporal dynamics of ecosystem health in the central city of Wuhan were analyzed using the Vigor-Organization-Resilience-Service (VORS) model. The sensitivity of ecosystem health at different scales was also investigated using hierarchical health assessment delineation and random forest regression methods. The results showed that the composite index of ecosystem health has been declining since 2000, highlighting the negative impacts of shrinking ecological space, declining service capacity and urban expansion. Health zoning divides areas into five categories. Meanwhile, the health zones are located in areas of dense shrubs, cropland and water bodies on the edge of the central city, while the weak zones are mainly in the core of the city, which is 99.33 % impervious surface. The main factors influencing ecosystem health, including impervious surface area, water bodies and topography, vary from region to region. The study proposes targeted ecological management strategies for different health zones in Wuhan, emphasizing ecosystem protection and providing guidance for sustainable urban development.
C1 [Han, Pingyang; Hu, Haozhi; Zhou, Jiayan; Wang, Min; Zhou, Zhixiang] Huazhong Agr Univ, Coll Hort & Forestry Sci, Wuhan 430070, Peoples R China.
   [Han, Pingyang; Hu, Haozhi; Zhou, Jiayan; Wang, Min] Minist Agr & Rural Affairs, Key Lab Urban Agr Cent China, Wuhan 430070, Peoples R China.
   [Han, Pingyang; Zhou, Zhixiang] Hubei Engn Technol Res Ctr Forestry Informat, Wuhan 430070, Peoples R China.
   [Hu, Haozhi] China Railway Fourth Survey & Design Inst Grp Co L, Wuhan 430063, Peoples R China.
C3 Huazhong Agricultural University; Ministry of Agriculture & Rural
   Affairs
RP Wang, M; Zhou, ZX (corresponding author), Huazhong Agr Univ, Coll Hort & Forestry Sci, Wuhan 430070, Peoples R China.
EM wangmin009@mail.hzau.edu.cn; whzhouzx@mail.hzau.edu.cn
RI Zhou, Zhixiang/HMV-3569-2023
OI Wang, Min/0000-0002-6107-7357; hu, haozhi/0009-0006-7148-5326; Han,
   Pingyang/0000-0002-6263-4610
FU National key R & D Program of China [2022YFF1303004]; Science and
   Technology Projects of Wuhan Municipal Bureau of Landscape and Forestry,
   Hubei, China [201811]
FX <B>Funding</B> This study was funded by the National key R & D Program
   of China [grant number 2022YFF1303004] and the Science and Technology
   Projects of Wuhan Municipal Bureau of Landscape and Forestry, Hubei,
   China (201811) .
CR Benedict M.A., 2006, Urban Land, VJune, P299, DOI DOI 10.1007/S10980-006-9045-7
   Bertollo P, 1998, ECOSYST HEALTH, V4, P33, DOI 10.1046/j.1526-0992.1998.00069.x
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Qian C, 2022, BUILD ENVIRON, V225, DOI 10.1016/j.buildenv.2022.109625
   Chen WX, 2024, J ENVIRON MANAGE, V364, DOI 10.1016/j.jenvman.2024.121371
   Chen WX, 2022, J ENVIRON MANAGE, V318, DOI 10.1016/j.jenvman.2022.115565
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Costanza DP, 2012, J BUS PSYCHOL, V27, P375, DOI 10.1007/s10869-012-9259-4
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   COSTANZA R, 1992, CONSERV BIOL, V6, P37, DOI 10.1046/j.1523-1739.1992.610037.x
   Costanza R, 2017, ECOSYST SERV, V28, P1, DOI 10.1016/j.ecoser.2017.09.008
   Cronshey R., 1986, Urban hydrology for small watersheds
   Daily G.C., 2013, The Future of Nature: Documents of Global Change, P454, DOI DOI 10.12987/9780300188479-039
   Das M, 2020, LANDSCAPE URBAN PLAN, V204, DOI 10.1016/j.landurbplan.2020.103938
   Davies PE, 2010, MAR FRESHWATER RES, V61, P764, DOI 10.1071/MF09043
   Du JL, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e33375
   Enaruvbe GO, 2019, SUSTAIN CITIES SOC, V45, P70, DOI 10.1016/j.scs.2018.11.022
   Fan FL, 2013, REMOTE SENS-BASEL, V5, P1425, DOI 10.3390/rs5031425
   Folke C, 1997, AMBIO, V26, P167
   Gomes E, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111101
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Gong J, 2021, J ENVIRON MANAGE, V281, DOI 10.1016/j.jenvman.2020.111817
   Gong J, 2019, ECOL INDIC, V99, P283, DOI 10.1016/j.ecolind.2018.12.027
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   He JH, 2019, SCI TOTAL ENVIRON, V673, P553, DOI 10.1016/j.scitotenv.2019.03.465
   He MW, 2022, ECOL INDIC, V138, DOI 10.1016/j.ecolind.2022.108853
   Hong G, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105253
   Howell PE, 2018, ECOLOGY, V99, P1119, DOI 10.1002/ecy.2189
   Hu CM, 2009, REMOTE SENS ENVIRON, V113, P2118, DOI 10.1016/j.rse.2009.05.012
   Kang P, 2018, SCI TOTAL ENVIRON, V636, P1442, DOI 10.1016/j.scitotenv.2018.04.427
   [柯新利 Ke Xinli], 2019, [生态学报, Acta Ecologica Sinica], V39, P672
   Kirby MG, 2024, ECOSYST SERV, V67, DOI 10.1016/j.ecoser.2024.101620
   LEE BJ, 1982, LANDSCAPE PLAN, V9, P147, DOI 10.1016/0304-3924(82)90004-1
   Lee CC, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.141082
   Leemans R., 2003, MILLENNIUM ECOSYSTEM
   Lei JJ, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110925
   Leopold A., 1941, Wilderness as a Land Laboratory [Text]
   LI HB, 1993, LANDSCAPE ECOL, V8, P155, DOI 10.1007/BF00125347
   [李强 LI Qiang], 2009, [生态环境学报, Ecology and Environmental Sciences], V18, P1604
   Li WJ, 2022, ECOL ENG, V179, DOI 10.1016/j.ecoleng.2022.106607
   Li WJ, 2021, J CLEAN PROD, V294, DOI 10.1016/j.jclepro.2021.126341
   Linyao X., 2017, Int. J. Adv. Netw. Monit. Controls, V2, P9, DOI [10.21307/ijanmc-2017-005, DOI 10.21307/IJANMC-2017-005]
   Liu HM, 2012, ADV MATER RES-SWITZ, V518-523, P6069, DOI 10.4028/www.scientific.net/AMR.518-523.6069
   Liu JG, 2024, GEOGR SUSTAIN, V5, P160, DOI 10.1016/j.geosus.2024.02.003
   Liu LM, 2022, LANDSCAPE URBAN PLAN, V224, DOI 10.1016/j.landurbplan.2022.104433
   Liu Y, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108644
   Luo JH, 2023, REMOTE SENS ENVIRON, V287, DOI 10.1016/j.rse.2023.113480
   Luo QL, 2022, J ENVIRON MANAGE, V321, DOI 10.1016/j.jenvman.2022.115709
   Ma JW, 2022, ECOL INFORM, V72, DOI 10.1016/j.ecoinf.2022.101842
   Malaj E, 2014, P NATL ACAD SCI USA, V111, P9549, DOI 10.1073/pnas.1321082111
   Márquez LAM, 2023, ECOSYST SERV, V64, DOI 10.1016/j.ecoser.2023.101572
   McGarigal K., 1995, General Technical Report - Pacific Northwest Research Station, USDA Forest Service
   Meng LR, 2018, SCI TOTAL ENVIRON, V615, P1218, DOI 10.1016/j.scitotenv.2017.09.312
   Meng-Hua Chen, 2022, Ocean & Coastal Management, DOI 10.1016/j.ocecoaman.2022.106285
   Nagendra H, 2002, APPL GEOGR, V22, P175, DOI 10.1016/S0143-6228(02)00002-4
   NELSON JL, 1993, HASTINGS CENT REP, V23, P44, DOI 10.2307/3562068
   Niemelä J, 2014, LANDSCAPE URBAN PLAN, V125, P298, DOI 10.1016/j.landurbplan.2013.07.014
   Oueslati W, 2015, URBAN STUD, V52, P1594, DOI 10.1177/0042098015577773
   Peng J, 2017, ECOL INDIC, V72, P399, DOI 10.1016/j.ecolind.2016.08.024
   Peng J, 2015, LANDSCAPE URBAN PLAN, V143, P56, DOI 10.1016/j.landurbplan.2015.06.007
   Peng YL, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2023.111432
   Phillips LB, 2008, REMOTE SENS ENVIRON, V112, P3538, DOI [10.1016/j.rse.2008.04.012, 10.1016/j.rse.2008.08.002]
   Rapport DJ, 2011, ECOL RES, V26, P1039, DOI 10.1007/s11284-010-0703-5
   RAPPORT DJ, 1989, PERSPECT BIOL MED, V33, P120
   Rees WE., 1992, Environment and Urbanization, V4, P121, DOI DOI 10.1177/095624789200400212
   López DR, 2013, ECOL INDIC, V24, P1, DOI 10.1016/j.ecolind.2012.05.014
   Saroj, 2016, Review: Study on Simple k Mean and Modified K Mean Clustering Technique
   Schumaker NH, 1996, ECOLOGY, V77, P1210, DOI 10.2307/2265590
   Sha H., 2018, Ecol. Lett., V38, P7102, DOI [10.5846/stxb201710111814, DOI 10.5846/STXB201710111814]
   Sharp R., 2018, InVEST User's Guide, DOI DOI 10.13140/RG.2.2.32693.78567
   Shen W, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110191
   Shen W, 2023, J CLEAN PROD, V406, DOI 10.1016/j.jclepro.2023.137038
   Su MR, 2009, ECOL MODEL, V220, P2341, DOI 10.1016/j.ecolmodel.2009.06.010
   Sun TT, 2016, SCI TOTAL ENVIRON, V566, P627, DOI 10.1016/j.scitotenv.2016.05.028
   Tan CD, 2024, LANDSCAPE URBAN PLAN, V248, DOI 10.1016/j.landurbplan.2024.105111
   Ustaoglu E, 2017, ENVIRON MANAGE, V60, P717, DOI 10.1007/s00267-017-0908-2
   Wang B, 2023, URBAN FOR URBAN GREE, V84, DOI 10.1016/j.ufug.2023.127927
   Wang P, 2018, J CLEAN PROD, V177, P124, DOI 10.1016/j.jclepro.2017.12.125
   Wang QS, 2021, ECOL INDIC, V128, DOI 10.1016/j.ecolind.2021.107852
   Wang SH, 2012, ECOL MODEL, V227, P46, DOI 10.1016/j.ecolmodel.2011.12.009
   Wang XY, 2024, ECOL INFORM, V79, DOI 10.1016/j.ecoinf.2023.102458
   Wang YJ, 2022, ECOL INDIC, V142, DOI 10.1016/j.ecolind.2022.109258
   Wang ZR, 2024, SCI TOTAL ENVIRON, V937, DOI 10.1016/j.scitotenv.2024.173377
   Wei GE, 2024, ENVIRON IMPACT ASSES, V106, DOI 10.1016/j.eiar.2024.107533
   Wei L, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109544
   Wu J., 2000, GEOGRAPHICAL INFORM, V6, P1
   Wu JS, 2021, J CLEAN PROD, V326, DOI 10.1016/j.jclepro.2021.129393
   Wu LY, 2018, ECOL INDIC, V84, P393, DOI 10.1016/j.ecolind.2017.09.006
   Xiao ZL, 2022, J CLEAN PROD, V345, DOI 10.1016/j.jclepro.2022.131138
   Xiaoyao Z., 2023, Ecol. Ind., V150
   Xiong X., 2023, J. Appl. Ecol., V34
   Xu HS, 2018, J HYDROL, V563, P975, DOI 10.1016/j.jhydrol.2018.06.060
   Xu L., 2019, 2010s China Land Ecosystem Carbon Density Dataset (DB/ OL)
   Xu M., 2020, Chin. Landsc. Archit., V36, P104
   Xu WB, 2022, SCI TOTAL ENVIRON, V845, DOI 10.1016/j.scitotenv.2022.157319
   Xu X.L., 2018, China's multiperiod land use land cover remote sensing monitoring data set (CNLUCC), DOI [10.12078/2018070201, DOI 10.12078/2018070201]
   Yan Yan Yan Yan, 2016, Acta Ecologica Sinica - International Journal, V36, P294
   Yang J., 2023, Earth System Science Data
   Yao L, 2015, URBAN FOR URBAN GREE, V14, P300, DOI 10.1016/j.ufug.2015.02.014
   Yu GM, 2013, APPL GEOGR, V44, P154, DOI 10.1016/j.apgeog.2013.07.010
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
   [周秋文 ZHOU Qiu-wen], 2009, [水土保持研究, Research of Soil and Water Conservation], V16, P121
   Zhou YY, 2022, J CLEAN PROD, V357, DOI 10.1016/j.jclepro.2022.131887
NR 105
TC 5
Z9 5
U1 31
U2 53
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD SEP
PY 2024
VL 166
AR 112352
DI 10.1016/j.ecolind.2024.112352
EA JUL 2024
PG 16
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA YO7Q2
UT WOS:001269496700001
OA gold
DA 2025-04-22
ER

PT S
AU Wachs, TD
AF Wachs, Theodore D.
BE Lester, BM
   Masten, AS
   McEwen, B
TI Contributions of temperament to buffering and sensitization processes in
   children's development
SO RESILIENCE IN CHILDREN
SE Annals of the New York Academy of Sciences
LA English
DT Article; Proceedings Paper
CT Conference on Resilience in Children
CY FEB 26-28, 2006
CL Arlington, VA
SP NY Acad Sci, Brown Med Sch
DE stress; temperament; resilience; self-regulation
ID ADOLESCENT SUBSTANCE USE; SELF-REGULATION; URBAN CHILDREN; ACTIVITY
   LEVEL; RESILIENCE; STRESS; ADJUSTMENT; CHILDHOOD; EMOTIONALITY; BEHAVIOR
AB Temperament refers to relatively stable, early appearing, biologically rooted individual differences in behavioral traits. Individual differences in temperament are multidetermined encompassing both biological and experiential influences. Evidence indicates that certain temperament traits, such as impulsivity, inhibition, and negative emotionality, can serve as developmental risk factors. Evidence also indicates that other temperament traits, such as flexible self-regulation, sociability, and task orientation, can serve to increase children's resilience. Five potential mechanisms through which individual differences in temperament can increase vulnerability or facilitate resilience are presented: (1) Differential treatment of children with different temperaments by caregivers or teachers (reactive covariance). (2) Children with different temperament styles seeking out environments that may increase risk or promote resilience (active covariance). (3) Goodness or poorness of fit between child temperament characteristics and environmental demands. (4) Children with different temperaments reacting to similar levels or types of stress in different ways. (5) Different coping strategies used by children with different temperaments.
C1 Purdue Univ, Dept Psychol Sci, W Lafayette, IN 47907 USA.
C3 Purdue University System; Purdue University
RP Wachs, TD (corresponding author), Purdue Univ, Dept Psychol Sci, W Lafayette, IN 47907 USA.
EM wachs@psych.purdue.edu
CR [Anonymous], 2004, STAT WORLDS CHILDR 2
   Arcus D, 2001, TEMPERAMENT IN CONTEXT, P43
   BATES J, IN PRESS HDB SOCIALI
   Bates J., 1989, TEMPERAMENT CHILDHOO, P3
   Belsky J, 1998, DEV PSYCHOPATHOL, V10, P301, DOI 10.1017/S095457949800162X
   Carson D. K., 2001, J GENET PSYCHOL, V155, P289
   Chess S., 1991, EXPLORATIONS TEMPERA, P15, DOI [10.1007/978-1-4899-0643-42, DOI 10.1007/978-1-4899-0643-4_2, 10.1007/978-1-4899-0643-4_2]
   Colder CR, 1997, J ABNORM CHILD PSYCH, V25, P251, DOI 10.1023/A:1025704217619
   Colder CR, 2002, DEV PSYCHOPATHOL, V14, P1, DOI 10.1017/S0954579402001013
   Compas BE, 2001, PSYCHOL BULL, V127, P87, DOI 10.1037//0033-2909.127.1.87
   Compas BE, 2004, J CLIN CHILD ADOLESC, V33, P21, DOI 10.1207/S15374424JCCP3301_3
   CROCKENBERG S, 1987, CHILD DEV, V58, P964, DOI 10.1111/j.1467-8624.1987.tb01432.x
   Derryberry D, 2003, DEV PSYCHOPATHOL, V15, P1049, DOI 10.1017/S0954579403000439
   DiLalla L.F., 2000, Temperamentandpersonality developmentacross the lifespan, P33
   Durbrow EH, 2000, SCHOOL PSYCHOL INT, V21, P242, DOI 10.1177/0143034300213002
   Eisenberg N., 2006, HDB CHILD PSYCHOL, P99, DOI DOI 10.1002/9780470147658.CHPSY0303
   Eisenberg N., 2006, CHILD PSYCHOL, P357
   El-Sheikh M, 2001, CHILD DEV, V72, P1617, DOI 10.1111/1467-8624.00369
   Fox NA, 2005, ANNU REV PSYCHOL, V56, P235, DOI 10.1146/annurev.psych.55.090902.141532
   Frick PJ, 2004, J CLIN CHILD ADOLESC, V33, P54, DOI 10.1207/S15374424JCCP3301_6
   Guerin D.W., 2003, TEMPERAMENT INFANCY
   HETHERINGTON EM, 1989, CHILD DEV, V60, P1
   KARRAKER KH, 1994, MERRILL PALMER QUART, V40, P171
   Katz LF, 1997, J CLIN CHILD PSYCHOL, V26, P157, DOI 10.1207/s15374424jccp2602_4
   Kilmer RP, 2001, J COMMUNITY PSYCHOL, V29, P391, DOI 10.1002/jcop.1025
   Kim-Cohen J, 2004, CHILD DEV, V75, P651, DOI 10.1111/j.1467-8624.2004.00699.x
   Lengua LJ, 1999, DEV PSYCHOPATHOL, V11, P15, DOI 10.1017/S0954579499001935
   Lengua LJ, 2000, J CLIN CHILD PSYCHOL, V29, P232, DOI 10.1207/S15374424jccp2902_9
   Lengua LJ, 2002, J APPL DEV PSYCHOL, V23, P471, DOI 10.1016/S0193-3973(02)00129-6
   Lengua LJ, 1996, J ABNORM CHILD PSYCH, V24, P681, DOI 10.1007/BF01664734
   Lonigan CJ, 2004, J CLIN CHILD ADOLESC, V33, P8, DOI 10.1207/S15374424JCCP3301_2
   LOSEL F, 1994, INT J BEHAV DEV, V17, P753, DOI 10.1177/016502549401700411
   Luthar SS, 2000, CHILD DEV, V71, P543, DOI 10.1111/1467-8624.00164
   Masten A.S., 2003, RESILIENCE VULNERABI, P1
   Masten AS, 2001, AM PSYCHOL, V56, P227, DOI 10.1037/0003-066X.56.3.227
   Matheny AP, 2001, TEMPERAMENT IN CONTEXT, P81
   MATHENY AP, 1986, J PEDIATR PSYCHOL, V11, P163, DOI 10.1093/jpepsy/11.2.163
   MOFFITT TE, 1993, DEV PSYCHOPATHOL, V5, P135, DOI 10.1017/S0954579400004302
   MORRIS AS, 2004, J MARRIAGE FAM, V64, P461
   Murray-Harvey R., 1998, Early Child Dev Care, V145, P133
   Nelson C.A., 1994, TEMPERAMENT, P47
   Nelson CA, 1999, CURR DIR PSYCHOL SCI, V8, P42, DOI 10.1111/1467-8721.00010
   OKEEFE M, 1994, FAM SOC-J CONTEMP H, V75, P403, DOI 10.1177/104438949407500701
   OWENS E, 2002, J ABNORM PSYCHOL, V31, P575
   Parritz RH, 1996, INFANT BEHAV DEV, V19, P171, DOI 10.1016/S0163-6383(96)90016-8
   Pauli-Pott U, 2004, DEV PSYCHOPATHOL, V16, P19, DOI 10.1017/S0954579404040398
   Putnam S.P., 2002, Handbook of Parenting, V2nd
   Rothbart M.K., 1989, TEMPERAMENT CHILDHOO, P77
   Rubin KH, 1999, INT J BEHAV DEV, V23, P937, DOI 10.1080/016502599383612
   Ruschena E, 2005, J CHILD PSYCHOL PSYC, V46, P353, DOI 10.1111/j.1469-7610.2004.00369.x
   RUTTER M, 1987, AM J ORTHOPSYCHIAT, V57, P316, DOI 10.1111/j.1939-0025.1987.tb03541.x
   Scheper-Hughes Nancy., 1987, Child Survival: Anthropological Perspectives on the Treatment and Maltreatment of Children, P187
   SMITH J, 1995, J AM ACAD CHILD PSY, V34, P168, DOI 10.1097/00004583-199502000-00012
   TETI DM, 1991, CHILD DEV, V62, P918, DOI 10.1111/j.1467-8624.1991.tb01580.x
   Tschann JM, 1996, J AM ACAD CHILD PSY, V35, P184, DOI 10.1097/00004583-199602000-00012
   Wachs T., 2006, Child psychology, P27
   Wachs T.D., 2000, Temperament and personality development across the life span, P57
   Wachs T.D., 2005, Handbook of research methods in developmental science, P443
   WACHS TD, 1987, DEV PSYCHOL, V23, P782, DOI 10.1037/0012-1649.23.6.782
   WACHS TD, 2000, NECESSARY SUFFICIENT
   Werner E., 1992, OVERCOMING ODDS
   Werner E. E., 1982, Vulnerable but invincible: A study of resilient children
   Wills TA, 1998, J PERS SOC PSYCHOL, V74, P387, DOI 10.1037/0022-3514.74.2.387
   Wills TA, 2004, J CLIN CHILD ADOLESC, V33, P69, DOI 10.1207/S15374424JCCP3301_7
   Wills TA, 2001, DEV PSYCHOL, V37, P283, DOI 10.1037/0012-1649.37.3.283
   Wyman PA, 1999, CHILD DEV, V70, P645, DOI 10.1111/1467-8624.00047
   WYMAN PA, 1991, AM J COMMUN PSYCHOL, V19, P405
   ZEITLIN M, 1991, NUTR REV, V49, P259, DOI 10.1111/j.1753-4887.1991.tb07417.x
NR 68
TC 47
Z9 61
U1 2
U2 25
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER STREET, HOBOKEN, NJ, UNITED STATES
SN 0077-8923
BN 978-1-57331-643-9
J9 ANN NY ACAD SCI
JI Ann.NY Acad.Sci.
PY 2006
VL 1094
BP 28
EP 39
DI 10.1196/annals.1376.004
PG 12
WC Multidisciplinary Sciences; Neurosciences; Pediatrics
WE Conference Proceedings Citation Index - Science (CPCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Neurosciences & Neurology;
   Pediatrics
GA BGA47
UT WOS:000245807000003
PM 17347339
DA 2025-04-22
ER

PT J
AU Valera, K
   Sharifi, A
AF Valera, Kirverlin
   Sharifi, Ayyoob
TI Index-based mapping and assessment of flood vulnerability for climate
   adaptation at the neighborhood level: A case study of Santo Domingo, the
   Dominican Republic
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Flood; Vulnerability index; Urban areas; Climate change adaptation;
   Urban resilience
ID RISK
AB Urban flooding is a growing challenge in densely populated cities, leading to significant human and economic losses worldwide. While progress has been made in flood risk management, assessments of neighborhood-level vulnerability remain neglected in cities across Latin America and the Dominican Republic. This study addressed this gap by developing a Flood Vulnerability Index (FVI) for Santo Domingo, integrating geospatial analysis and multi-criteria decision-making methods. Key indicators were identified through a literature review and expert consultations. The Analytical Hierarchy Process (AHP) was used to assign weights to the indicators integrating exposure, sensitivity, and adaptive capacity. These were then aggregated to construct the FVI. The results, mapped at the neighborhood level and classified into vulnerability categories revealed disparities among neighborhoods of Santo Domingo, with 67 % of the neighborhoods moderately vulnerable, 19 % highly vulnerable, 13 % low vulnerable, and 6 % very highly vulnerable. Adaptive capacity emerged as the most significant determinant of vulnerability, surpassing exposure and sensitivity, emphasizing the need to prioritize interventions that enhance urban resilience. Several solutions have been proposed to bolster the adaptation capacity and mitigate the vulnerability of neighborhoods. Key policy recommendations include enhancing early warning systems, expanding urban green spaces, and improving flood protection infrastructure. This study provides a robust, GIS-based framework for identifying vulnerable areas and guiding targeted adaptation strategies. The framework can facilitate identifying vulnerable areas and guiding targeted adaptation strategies, offering valuable insights for urban planners, policymakers, and local communities in Santo Domingo and similar urban contexts.
C1 [Valera, Kirverlin] Hiroshima Univ, Grad Sch Humanities & Social Sci, Urban Environm Sci Lab URBES, Hiroshima, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst, Hiroshima, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, Hiroshima, Japan.
   [Sharifi, Ayyoob] Univ Queensland, Sch Architecture Design & Planning, Brisbane, 4067, Australia.
C3 Hiroshima University; Hiroshima University; Hiroshima University;
   University of Queensland
RP Sharifi, A (corresponding author), Network Educ & Res Peace & Sustainabil NERPS, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 7398529, Japan.
EM m232461@hiroshima-u.ac.jp; sharifi@hiroshima-u.ac.jp
RI Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613
CR Abdrabo KI, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101426
   Aboagye PD, 2024, RENEW SUST ENERG REV, V189, DOI 10.1016/j.rser.2023.113886
   Aboagye PD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101550
   ADN, 2019, Territorial plan of the national district POT capital
   adn.gob, 2017, Your municipality in numbers
   Aghaloo K, 2025, INT J SUST DEV WORLD, V32, P224, DOI 10.1080/13504509.2024.2424988
   Aghaloo K, 2024, URBAN FOR URBAN GREE, V95, DOI 10.1016/j.ufug.2024.128320
   Aghaloo K, 2023, CURR RES ENVIRON SUS, V6, DOI 10.1016/j.crsust.2023.100230
   Allarané N, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7030097
   [Anonymous], 2021, FLOODS
   Appendix D, 2005, Ecosystems and Human Well-Being: Current States and Trends
   Ardekani AT, 2024, MANZAR, V16, P32, DOI 10.22034/MANZAR.2023.404889.2252
   Arnbjerg-Nielsen K, 2009, WATER SCI TECHNOL, V60, P273, DOI 10.2166/wst.2009.298
   Begg SS, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01824-9
   Beliard Sanchez C.E., 2020, Analysis of the climatic vulnerability and the flood risk of the Ozamas river basin
   Borowska-Stefanska M, 2024, ENVIRON HAZARDS-UK, DOI 10.1080/17477891.2024.2403468
   Van CT, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102969
   Cea L, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9030050
   Choi HI, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55994-y
   Nguyen CT, 2019, SUST WAT RESOUR MAN, V5, P1917, DOI 10.1007/s40899-019-00337-y
   COE, 2022, Tropical wave situation report (5)
   COE, 2023, Tropical wave situation report
   DAllestro P., 2015, Int. J. Appl. Eng. Res., V10, P4
   de Brito MM, 2018, HYDROL EARTH SYST SC, V22, P373, DOI 10.5194/hess-22-373-2018
   e. a. Bmj, 2021, PRISMA 2020 Flow Diagram for New Systematic Reviews Which Included Searches of Databases and Registers Only
   Ercanli Ç, 2022, MEGARON, V17, P274, DOI 10.14744/MEGARON.2022.46666
   Feng BY, 2021, NAT HAZARDS, V106, P613, DOI 10.1007/s11069-020-04480-0
   Government of the Dominican Republic, 2020, Nationally determined contribution
   Hamidi AR, 2020, NAT HAZARDS, V101, P385, DOI 10.1007/s11069-020-03878-0
   Handayani W, 2017, ADV CLIM CHANG RES, V8, P286, DOI 10.1016/j.accre.2017.11.002
   Haque MN, 2024, LAND USE POLICY, V144, DOI 10.1016/j.landusepol.2024.107266
   Haque MN, 2024, ECOSYST SERV, V67, DOI 10.1016/j.ecoser.2024.101617
   ICMA. ICF. FEDOMU. & ADN, 2016, Assessment of the climate vulnerability of the national district for the land use plan: draft
   INTEC, 2023, At least 132 square kilometers of urban area in SD were affected by flooding on November 18
   Kaoje IU, 2021, INT J BUILT ENV SUST, V8, P23, DOI 10.11113/ijbes.v8.n2.700
   Lee JS, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9112321
   Lee JS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030768
   Louis MJ, 2024, J FLOOD RISK MANAG, V17, DOI 10.1111/jfr3.13020
   MEPyD, 2020, Losses Caused by Natural Phenomena between November 2016 and September 2017
   Miranda FN, 2019, NAT HAZARDS, V96, P713, DOI 10.1007/s11069-018-03565-1
   Mruksirisuk P, 2023, J ENVIRON MANAGE, V347, DOI 10.1016/j.jenvman.2023.119276
   Nahin KTK, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e14520
   Nasiri H, 2019, INT J ENVIRON SCI TE, V16, P2249, DOI 10.1007/s13762-018-1797-5
   Nasiri H, 2016, SUST WAT RESOUR MAN, V2, P331, DOI 10.1007/s40899-016-0051-x
   Nazeer M., 2019, SUSTAINABILITY-BASEL, V11, DOI [DOI 10.3390/su11236695, 10.3390/su11236695]
   OECD, 2008, Handbook on Constructing Composite Indicators: Methodology and User Guide, DOI [DOI 10.1787/9789264043466-EN, 10.1787/9789264043466-EN]
   Ofosu A, 2023, URBAN WATER J, V20, P235, DOI 10.1080/1573062X.2022.2156890
   Olaya Gonzalez J.C., 2014, Plan of adaptation to floods influenced by climate change
   one.gob, 2022, X National Population and Housing Census, General Report
   Prashar N, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100299
   Vanderhorst HDR, 2024, WATER-SUI, V16, DOI 10.3390/w16030382
   Rivera R., 2022, Assessment and mapping of areas under threats in the Dominican Republic
   Roberts H.-O. Portner, 2022, Climate Change 2022: Impacts, Adaptation and Vulnerability., Contribution of Working Group II to the Sixth Assessment Report,
   Rojas-Cortorreal G., 2019, DOMINICAN REPUBLIC 1
   Ronald R., 2020, Technical summary: flood risk assessments and landslide in the Dominican republic reported by the precipitation projections
   Rudiarto I, 2020, INT REV SPAT PLAN SU, V8, P34, DOI 10.14246/irspsd.8.3_34
   SAATY RW, 1987, MATH MODELLING, V9, P161, DOI 10.1016/0270-0255(87)90473-8
   Schwarz I, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14194894
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sohn W, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106774
   Sultana N, 2024, J ENVIRON MANAGE, V368, DOI 10.1016/j.jenvman.2024.122146
   Tempa K, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0270467
   An TT, 2022, J WATER CLIM CHANGE, V13, P3217, DOI 10.2166/wcc.2022.029
   UN Habitat, 2022, World City Report 2022: Envisating the Future of Cities
   United Nations, 2024, 4 INT C SIDS ANT BAR
   Kaoje IU, 2021, WATER-SUI, V13, DOI 10.3390/w13131786
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Wang P, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192416595
   Wasko C, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126994
   [Weyer N.M. IPCC IPCC], 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, DOI [DOI 10.1017/9781009157964.010, 10.1017/9781009157964.010]
   World Bank, 2023, World Bank staff estimates based on the united nations population division's world
   Yang WC, 2018, ECOL INDIC, V89, P269, DOI 10.1016/j.ecolind.2018.02.015
   Yomayra M., 3 NATL COMMUNICATION
NR 73
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PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD APR 1
PY 2025
VL 120
AR 105362
DI 10.1016/j.ijdrr.2025.105362
EA MAR 2025
PG 17
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA Z7M6S
UT WOS:001440705200001
DA 2025-04-22
ER

PT J
AU Jabeen, H
AF Jabeen, Huraera
TI Adapting the built environment: the role of gender in shaping
   vulnerability and resilience to climate extremes in Dhaka
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE gender dynamics; urban poor; built environment; climate extremes
ID ADAPTATION
AB The relationship between the built environment and vulnerability and resilience is a little-studied area of research, and demands an exploration of constraints and windows of opportunity. Given gender roles and the division of labour between women and men within urban poor households, the impacts of climate extremes are likely to be gendered. But conceptualizing gender only in terms of the vulnerability of women can mean overlooking the complex and intersecting power relations that marginalize women and men differently. These power relations are manifested in spatial practices, while spatial relations are manifested in the construction of gender. Thus, the power to make decisions in the built environment based on gender roles, and the nature of gender subordination, rights and entitlements contribute significantly to the capacity to adapt to climate extremes.
C1 Populat Council, New York, NY 10017 USA.
C3 Population Council
RP Jabeen, H (corresponding author), Populat Council, One Dag Hammarskjold Plaza, New York, NY 10017 USA.
EM hjabeen@popcouncil.org
RI Jabeen, Huraera/AAC-4481-2020
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Alam H, 2009, DAILY STAR
   Albala-Bertrand JM, 1993, POLITICAL EC NATURAL
   Alber G., 2011, Unpublished thematic report prepared for the Global Report on Human Settlements
   [Anonymous], 2010, The Daily Star
   [Anonymous], 2009, Daily Star
   [Anonymous], CLIMATE CHANGE CITIE
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Blanco H, 2011, CLIMATE CHANGE CITIE, P218
   Bosher L., 2008, HAZARDS BUILT ENV AT
   Brody A., 2008, GENDER CLIMATE CHANG
   Chant Sylvia., 1987, WOMEN HUMAN SETTLEME, P33
   Dankelman I, 2008, WORKSH DEV POL GUID
   Dankelman I.E. M., 2008, Gender, climate change and human security: Lessons from Bangladesh, Ghana and Senegal
   Dankelman Irene., 2010, GENDER CLIMATE CHANG
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Field C. B., 2012, MANAGING RISKS EXTRE
   Habraken J., 1985, The Appearance of the Form
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jarvis H, 2009, ROUTL CRIT INTRO URB, P1
   Kabeer Naila, 2003, GENDER MAINSTREAMING
   Lefebvre Henri, 1991, The Production of Space
   Moffatt S, 2008, BUILD RES INF, V36, P248, DOI 10.1080/09613210801928131
   Momsen Janet., 2010, Gender and Development, V2nd
   Morgan Jannett., 2010, The Classical Greek House
   Moser C, 2011, ENVIRON URBAN, V23, P463, DOI 10.1177/0956247811418739
   Moser Caroline., 1987, WOMEN HUMAN SETTLEME, P12
   Nelson V., 2002, Gender and Development, V10, P51, DOI 10.1080/13552070215911
   Peake L., 2009, The International Encyclopedia of Human Geography, P320
   Rendell Jane., 2000, Gender Space Architecture, P101
   Rendell Jane., 2000, Gender Space Architecture: An Interdisciplinary Introduction
   Satterthwaite D., 2009, ADAPTING CITIES CLIM, P3
   Shrestha G, 2000, Gend Technol Dev, V4, P61, DOI 10.1177/097185240000400103
   Spain Daphne., 1992, GENDERED SPACES
   United Nations, 2004, Living with risk: a global review of disaster reduction initiatives
NR 35
TC 25
Z9 28
U1 1
U2 18
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD APR
PY 2014
VL 26
IS 1
BP 147
EP 165
DI 10.1177/0956247813517851
PG 19
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA AG8FC
UT WOS:000335653200009
DA 2025-04-22
ER

PT J
AU Romero-Lankao, P
   Gnatz, DM
AF Romero-Lankao, Patricia
   Gnatz, Daniel M.
TI Conceptualizing urban water security in an urbanizing world
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID CLIMATE-CHANGE; GLOBAL CHANGE; VULNERABILITY; SYSTEMS; SUSTAINABILITY;
   URBANIZATION; RESILIENCE; CHALLENGES; RAINFALL; POLITICS
AB In this paper we review literature and suggest a framework to examine and measure urban water security as it interacts with urbanization and urban-regional systems. We develop a comprehensive framework to start bridging that gap. In this framework, urban water security is shaped by five interacting social and environmental domains. These are Sociodemographic, Economic, Technological, Ecological, and Governance (SETEG). We suggest a few indicators and aggregation methods that can shed light on the multidimensional and interconnected nature of urban water security, and illuminate different levels of influence among the five SETEG domains. By improving the selection of indicators for the multiple SETEG domains and interactions creating urban water security (or insecurity), combined approaches such as the one outlined above might help move a scattered array of water security goals towards the creation of informed, cohesive and relevant policy interventions.
C1 [Romero-Lankao, Patricia] NCAR, Urban Futures, Boulder, CO 80305 USA.
   [Gnatz, Daniel M.] ISUT, MnS Inst Sustainable Urban Transformat, Boulder, CO USA.
C3 National Center Atmospheric Research (NCAR) - USA
RP Romero-Lankao, P (corresponding author), NCAR, Urban Futures, Boulder, CO 80305 USA.
EM prlankao@ucar.edu
RI Romero-Lankao, Patricia/Q-3341-2017
OI Romero-Lankao, Patricia/0000-0001-9533-2363
FU National Science Foundation (NSF)
FX The work of Patricia Romero-Lankao is supported by the National Science
   Foundation (NSF). Any opinions, findings and conclusions,
   recommendations or omissions expressed are those of the author and do
   not necessarily reflect the views of NSF. We want to thank an anonymous
   reviewer for her helpful comments.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Allan C, 2013, CURR OPIN ENV SUST, V5, P625, DOI 10.1016/j.cosust.2013.09.004
   Allouche J, 2011, FOOD POLICY, V36, pS3, DOI 10.1016/j.foodpol.2010.11.013
   Archer MS, 2010, SOCIOL THEOR, V28, P272, DOI 10.1111/j.1467-9558.2010.01375.x
   Arnbjerg-Nielsen K, 2013, WATER SCI TECHNOL, V68, P16, DOI 10.2166/wst.2013.251
   Bogardi JJ, 2012, CURR OPIN ENV SUST, V4, P35, DOI 10.1016/j.cosust.2011.12.002
   Braimoh AK, 2007, LAND USE POLICY, V24, P502, DOI 10.1016/j.landusepol.2006.09.001
   Buhaug H, 2013, GLOBAL ENVIRON CHANG, V23, P1, DOI 10.1016/j.gloenvcha.2012.10.016
   Campbell S.D., 2013, MICHIGAN J SUSTAIN, V1, P1, DOI [10.3998/mjs.12333712.0001.007, DOI 10.3998/MJS.12333712.0001.007]
   Chaves HML, 2007, WATER RESOUR MANAG, V21, P883, DOI 10.1007/s11269-006-9107-2
   Cook C, 2012, GLOBAL ENVIRON CHANG, V22, P94, DOI 10.1016/j.gloenvcha.2011.10.011
   De Maio FG, 2007, J EPIDEMIOL COMMUN H, V61, DOI 10.1136/jech.2006.052969
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Falkenmark M., 2007, On the Verge of a New Water Scarcity
   Falkenmark M., 1989, MACROSCALE WATER SCA, P258, DOI DOI 10.1111/J.1477-8947.1989.TB00348.X.
   Falkenmark M, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0410
   Aceves-Quesada JF, 2007, NAT HAZARDS, V40, P339, DOI 10.1007/s11069-006-0018-6
   Filmer D, 2001, DEMOGRAPHY, V38, P115, DOI 10.2307/3088292
   Grey D, 2007, WATER POLICY, V9, P545, DOI 10.2166/wp.2007.021
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grothmann T, 2013, NAT HAZARD EARTH SYS, V13, P3369, DOI 10.5194/nhess-13-3369-2013
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hendrix CS, 2012, J PEACE RES, V49, P35, DOI 10.1177/0022343311426165
   Jepson W, 2014, GEOFORUM, V51, P107, DOI 10.1016/j.geoforum.2013.10.002
   Manuel-Navarrete D, 2011, GLOBAL ENVIRON CHANG, V21, P249, DOI 10.1016/j.gloenvcha.2010.09.009
   Marcotullio PJ, 2014, EARTHS FUTURE, V2, P496, DOI 10.1002/2014EF000257
   McPhee J, 2015, WATER SECURITY CHILE
   Palling M, 2009, PROG HUM GEOGR
   Paton FL, 2014, ENVIRON MODELL SOFTW, V60, P302, DOI 10.1016/j.envsoft.2014.06.018
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Rasmussen R, 2014, J HYDROMETEOROL, V15, P1091, DOI 10.1175/JHM-D-13-0118.1
   Romero-Lankao P, 2016, CLIM CHANGE
   Romero-Lankao P, 2014, EARTHS FUTURE, V2, P515, DOI 10.1002/2014EF000258
   Romero-Lankao P, 2013, CURR OPIN ENV SUST, V5, P358, DOI 10.1016/j.cosust.2013.07.008
   Rutherford J, 2014, URBAN STUD, V51, P1353, DOI 10.1177/0042098013500090
   Scott CA, 2013, ANN ASSOC AM GEOGR, V103, P280, DOI 10.1080/00045608.2013.754660
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Smith A, 2010, ECOL SOC, V15
   Sullivan C, 2002, WORLD DEV, V30, P1195, DOI 10.1016/S0305-750X(02)00035-9
   Sullivan C, 2006, WATER INT, V31, P412, DOI 10.1080/02508060608691942
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Thapa B, 2014, ENV SCI, P36
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Vlahov D, 2002, J URBAN HEALTH, V79, pS1, DOI 10.1093/jurban/79.suppl_1.S1
NR 44
TC 59
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PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD AUG
PY 2016
VL 21
BP 45
EP 51
DI 10.1016/j.cosust.2016.11.002
PG 7
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA EG3TL
UT WOS:000390967500007
OA Bronze
DA 2025-04-22
ER

PT J
AU Yadav, A
   Anwer, N
   Mahapatra, K
   Shrivastava, MK
   Khatiwada, D
AF Yadav, Anita
   Anwer, Naqui
   Mahapatra, Krushna
   Shrivastava, Manish Kumar
   Khatiwada, Dilip
TI Analyzing the Role of Polycentric Governance in Institutional
   Innovations: Insights from Urban Climate Governance in India
SO SUSTAINABILITY
LA English
DT Article
DE climate policy; urban climate governance; polycentricism; urban
   resilience; institutional innovation; governance capacity
ID CITIES; CITY; CAPACITIES; GOVERNMENT
AB In the face of climate change, urban governance systems must adapt to uncertainties and emerging pressures. Polycentric governance, characterized by multiple decision-making centers at different scales, enables coordination across levels and provides flexibility, which allows for experimentation and context-specific action, catalyzing institutional innovations in cities. These innovations involve creating new structures and modifying existing ones to help cities better withstand and adapt to the impacts of climate change. There are plenty of studies on this issue in developed country context, but such studies in the context of developing countries are lacking, especially in India. This article aims to explore the influence of polycentric governance on institutional innovations, thereby offering insights on how it contributes to transformative urban governance in India, characterized by (1) stewarding capacity, (2) unlocking capacity, (3) transformative capacity, and (4) orchestrating capacity. The research findings suggest that polycentric governance increases diversity and autonomy in decision-making centers across levels, which can enable more innovation or flexibility, leading to improving governance capacity to respond to changing circumstances, but these developments are still in nascent stage and further research is needed to assess the long-term sustainability of these capacities. The findings not only contribute to governance research and provide insights for policymaking, but also contribute to the broader discourse on urban resilience and sustainable development aligning with SDG 11 (sustainable cities and communities) and SDG 17 (partnerships for the goals) globally, especially in the Global South.
C1 [Yadav, Anita; Anwer, Naqui] TERI Sch Adv Studies, Dept Sustainable Engn, Plot 10 Inst Area, New Delhi 110070, India.
   [Yadav, Anita; Khatiwada, Dilip] KTH Royal Inst Technol, Dept Energy Technol, Div Energy Syst, Brinellvagen 68, S-10044 Stockholm, Sweden.
   [Mahapatra, Krushna] Linnaeus Univ, Dept Built Environm & Energy Technol, S-35195 Vaxjo, Sweden.
   [Shrivastava, Manish Kumar] Energy & Resources Inst TERI, India Habitat Ctr, Earth Sci & Climate Change Div, Darbari Seth Block,Lodhi Rd, New Delhi 110003, India.
C3 TERI University; Royal Institute of Technology; Linnaeus University;
   TERI University
RP Khatiwada, D (corresponding author), KTH Royal Inst Technol, Dept Energy Technol, Div Energy Syst, Brinellvagen 68, S-10044 Stockholm, Sweden.
EM anita.yadav@terisas.ac.in; naqui.anwer@terisas.ac.in;
   krushna.mahapatra@lnu.se; manish.shrivastava@teri.res.in;
   dilip.khatiwada@energy.kth.se
RI Khatiwada, Dilip/AAO-8744-2021; Yadav, Anita/JFA-1364-2023; Shrivastava,
   Manish/AAQ-7961-2020; Anwer, Naqui/AGX-5069-2022; Mahapatra,
   Krushna/AAG-9874-2020; Mahapatra, Krushna/C-2649-2013
OI Khatiwada, Dilip/0000-0002-0033-9982; Anwer, Naqui/0000-0002-6568-3573;
   Mahapatra, Krushna/0000-0003-4405-1056
FU KTH Royal Institute of Technology; KTH Royal Institute of Technology,
   Stockholm, Sweden
FX This research was funded by KTH Royal Institute of Technology,
   Stockholm, Sweden.
CR Acharya D, 2023, J SOCIAL EC DEV, V25, P1, DOI 10.1007/s40847-023-00316-2
   Almalki HA, 2023, MANAG REV Q, V73, P731, DOI 10.1007/s11301-022-00259-8
   [Anonymous], Nature-Based Solutions
   [Anonymous], 2008, Final Report: A Climate Change Action Plan, P15
   [Anonymous], 2026, Second Master Plan for Chennai Metropolitan Area
   archivepmo, 2008, National Action Plan on Climate Change; Government of India
   Baud I, 2021, GEOGR COMPASS, V15, DOI 10.1111/gec3.12562
   Bery S, 2023, URBAN AFF REV, V59, P1385, DOI 10.1177/10780874221098951
   Blasch J, 2021, ENERGY RES SOC SCI, V82, DOI 10.1016/j.erss.2021.102276
   Blazevic V, 2021, ORGAN STUD, V42, P61, DOI 10.1177/0170840619868268
   Boasson EL, 2023, J EUR PUBLIC POLICY, V30, P401, DOI 10.1080/13501763.2022.2150272
   Borgström S, 2019, AMBIO, V48, P463, DOI 10.1007/s13280-018-01142-1
   Boyd D, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103563
   Brolan CE, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15075688
   Bruhat Bengaluru Mahanagara Palike, Bengaluru Climate Action Plan (BCAP)
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cardno C., 2018, ED ADMINSTRATION THE, V24, P623, DOI DOI 10.14527/KUEY.2018.016
   Chali MT, 2022, QUAL REP, V27, P2956, DOI 10.46743/2160-3715/2022.5901
   Cheung TTT, 2023, ENVIRON POLICY GOV, V33, P531, DOI 10.1002/eet.2048
   Cid A, 2024, NPJ CLIM ACTION, V3, DOI 10.1038/s44168-024-00102-8
   Cole DH, 2015, NAT CLIM CHANGE, V5, P114, DOI 10.1038/NCLIMATE2490
   de Wit F, 2022, WORLD DEV, V157, DOI 10.1016/j.worlddev.2022.105955
   Ding RJ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127124
   Dorsch MJ, 2017, GLOBAL ENVIRON POLIT, V17, P45, DOI 10.1162/GLEP_a_00400
   Evans J, 2014, INT J URBAN REGIONAL, V38, P413, DOI 10.1111/1468-2427.12077
   Freeman M, 2019, QUAL RES, V19, P455, DOI 10.1177/1468794118778977
   Galik CS, 2023, POLICY POLIT, V51, P439, DOI 10.1332/030557321X16806127945591
   Ghorbani A, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1159923
   Gogoi B., 2023, ECOL ENVIRON CONSERV, V29, P485, DOI [10.53550/EEC.2023.v29i01.072, DOI 10.53550/EEC.2023.v29i01.072]
   Government Of India, 2021, REFORMS URBAN PLANNI
   Govindarajulu D, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101549
   Hale TN, 2021, CLIM POLICY, V21, P406, DOI 10.1080/14693062.2020.1828796
   Hanna E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011498
   Harrison J, 2023, TERRIT POLIT GOV, V11, P213, DOI 10.1080/21622671.2022.2083011
   Hochstetler K, 2021, ENVIRON POLIT, V30, P49, DOI 10.1080/09644016.2021.1957614
   Hölscher K, 2019, J ENVIRON MANAGE, V231, P843, DOI 10.1016/j.jenvman.2018.10.043
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   Hurtado S, 2022, Advancing Culturally Responsive Research and Researchers, P15
   Independent Group of Scientists appointed by the SecretaryGeneral, 2019, Global Sustainable Development Report 2019: The Future Is Now-Science for Achieving Sustainable Development
   IPCC, 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Iturriza M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062168
   Jayakody DY, 2024, ENVIRON SCI POLICY, V160, DOI 10.1016/j.envsci.2024.103866
   Jordan A, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P1, DOI 10.1017/9781108284646
   Kelman I, 2022, CLIMATE, V10, DOI 10.3390/cli10080121
   Khalid AM, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104812
   Khosla R, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.560
   Lassa JA, 2019, CLIMATE, V7, DOI 10.3390/cli7080095
   Lofthouse JK, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15043770
   Loucks D P., 2021, The Impacts of Climate Change, P19, DOI [DOI 10.1016/B978-0-12-822373-4.00016-1, 10.1016/b978-0-12-822373-4.00016-1]
   Ministry of Housing and Urban Affairs, Smart Cities Mission
   Ministry of Housing and Urban Affairs, Smart Cities Mission
   Moloney S., 2017, LOCAL ACTION CLIMATE
   Morrison TH, 2023, POLICY STUD J, DOI 10.1111/psj.12492
   Municipal Corporation of Greater Mumbai, Mumbai Climate Action Plan (MCAP)
   National Institute of Urban Affairs, Climate Centre for Cities (C -Cube)
   Nilssen M, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103845
   Ostrom Elinor, 2014, Journal of Bioeconomics, V16, P3, DOI 10.1007/s10818-013-9154-8
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Parthasarathy D., 2019, Clim. Change Signals Response, P255, DOI DOI 10.1007/978-981-13-0280-013
   Patterson J.J., 2018, Adaptive Cities? Institutional Innovation Under Climate Change: A Global Survey of 96 Cities
   Patterson JJ, 2019, J ENVIRON PLANN MAN, V62, P374, DOI 10.1080/09640568.2018.1510767
   Purcell M, 2014, J URBAN AFF, V36, P141, DOI 10.1111/juaf.12034
   Sethi M, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0253904
   Shabb K, 2023, NPJ CLIM ACTION, V2, DOI 10.1038/s44168-023-00035-8
   Thiel A, 2019, CAMB STUD ECON CHOIC, P1, DOI 10.1017/9781108325721
   Thiel A, 2019, CAMB STUD ECON CHOIC, P91
   Tuda AO, 2021, OCEAN COAST MANAGE, V200, DOI 10.1016/j.ocecoaman.2020.105412
   van der Heijden J, 2021, URBAN AFF REV, V57, P1115, DOI 10.1177/1078087420911207
   van der Heijden J, 2019, EARTH SYST GOV-NETH, V1, DOI 10.1016/j.esg.2019.100005
   Vedeld T, 2021, ENVIRON POLICY GOV, V31, P347, DOI 10.1002/eet.1935
   Vourvachis P, 2015, J APPL ACCOUNT RES, V16, P166, DOI 10.1108/JAAR-04-2013-0027
   Wickenberg B, 2022, FRONT SUSTAIN CITIES, V4, DOI 10.3389/frsc.2022.835511
   World Resources Institute, India Accelerating Climate Action in 43 Cities Across Maharash
   WWF, 2020, Leaders Pledge for Nature
   Zhai V.P., 2018, Special Report Global Warming of 1.5 C, DOI [10.1017/9781009157940.001, DOI 10.1017/9781009157940.001]
   Ziervogel G, 2019, AMBIO, V48, P494, DOI 10.1007/s13280-018-1141-9
NR 79
TC 0
Z9 0
U1 1
U2 1
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2024
VL 16
IS 23
AR 10736
DI 10.3390/su162310736
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA P4Q8A
UT WOS:001377780900001
OA gold
DA 2025-04-22
ER

PT J
AU Hati, B
AF Hati, Beatrice
TI Polymorphic grassroots networks and implications for disaster resilience
   in popular settlements in Sierra Leone, India and Kenya
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article; Early Access
DE disasters; grassroots organizations (GROs); informal settlements;
   learning; networks; resilience; street-level bureaucrats
ID CLIMATE RESILIENCE; CITY; GOVERNANCE; SPACE; POWER
AB What grassroots networks are (re)activated during disasters in urban poor communities? How do their dynamic patterns diversify resilience outcomes? Using an interdisciplinary theoretical framework, this study analyses resilience initiatives undertaken by grassroots organizations (GROs) affiliated with Slum Dwellers International in Sierra Leone, Kenya and India. The findings demonstrate formation of polymorphic networks, characterized by a multilevel architecture and diverse linkages that adapt dynamically to navigate disasters. The GROs leverage old and new ties, which exhibit patterns of institutional learning, redundancy, reliance on street-level bureaucracy and isomorphism. Their networks are diverse, but mimetic isomorphism and hierarchical ties can affect their dynamism. The study reveals that old linkages and established practices are more effective in emergency response, but insufficient to drive innovation, scale existing interventions and potentially cause reforms. New linkages, active learning within and outside affiliated linkages, and proactive engagement of local governments are more likely to enhance adaptation and create pathways for transformation.
C1 [Hati, Beatrice] Kenya Hub Int Ctr Frugal Innovat ICFI, Nairobi, Kenya.
   [Hati, Beatrice] Int Inst Social Studies ISS, Erasmus Univ Rotterdam, The Hague, Netherlands.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC
RP Hati, B (corresponding author), Int Inst Social Studies, Kortenaerkade 12, NL-2518 AX The Hague, Den Haag, Netherlands.
EM gitundu@iss.nl
FU Vital Cities and Citizens initiative (VCC) of Erasmus University
   Rotterdam
FX While there was no specific sponsorship for the research, authorship and
   publication of this article, the author wishes to acknowledge and thank
   the Vital Cities and Citizens initiative (VCC) of Erasmus University
   Rotterdam for the financial support of the larger PhD programme upon
   which this work hinges.
CR AbouAssi K, 2021, NONPROF VOLUNT SEC Q, V50, P143, DOI 10.1177/0899764020945800
   AbouAssi K, 2018, PUBLIC MANAG REV, V20, P1581, DOI 10.1080/14719037.2017.1400583
   Adler M. A., 2012, International Journal of Humanities and Social Science, V2, P235
   [Anonymous], 2020, Human cost of disasters: An onverview of the last 20 years 2000-2019, DOI DOI 10.18356/79B92774-EN
   Arana MM, 2016, BUILD RES INF, V44, P764, DOI 10.1080/09613218.2016.1212514
   Archer D, 2016, INT J CLIM CHANG STR, V8, P654, DOI 10.1108/IJCCSM-03-2014-0035
   Archer D, 2014, CLIM DEV, V6, P345, DOI 10.1080/17565529.2014.918868
   Bains A, 2013, P 3 INT C BUILD RES, P1
   Bakker J, 2024, SCI PUBL POLICY, DOI 10.1093/scipol/scae008
   Bankoff G, 2012, Handbook of Hazards and Disaster Risk Reduction, P31
   Beltrame D, 2022, plaNext-Next Generation Planning, V12
   Carrero R, 2019, URBAN STUD, V56, P561, DOI 10.1177/0042098018810606
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Chowdhury R, 2021, BUS SOC, V60, P420, DOI 10.1177/0007650318816954
   Cities Alliance and SDI, 2022, From recovery to resilience community-led responses to Covid-19 in informal settlements
   Coetzee C, 2016, DISASTER PREV MANAG, V25, P196, DOI 10.1108/DPM-07-2015-0153
   Cooper SJ, 2015, GEOFORUM, V65, P96, DOI 10.1016/j.geoforum.2015.07.015
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Devandra S M, 2020, Responding to COVID-19 in a high-density low-income district in Mumbai
   Dias VM, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105572
   Doerfel ML, 2013, COMMUN MONOGR, V80, P533, DOI 10.1080/03637751.2013.828157
   Edelenbos J, 2018, AM REV PUBLIC ADM, V48, P52, DOI 10.1177/0275074016651142
   Field C.B., 2012, SPECIAL REPORT IPCC
   Fransen J, 2024, SUSTAIN DEV, V32, P1471, DOI 10.1002/sd.2682
   Guggenheim M, 2014, SOCIOL REV, V62, P1, DOI 10.1111/1467-954X.12121
   Haokip T, 2018, Role of CBOs in resilience building: good practices and challenges, DOI [10.2139/ssrn.3019544, DOI 10.2139/SSRN.3019544]
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Horn P, 2020, Scaling participation in informal settlement upgrading: a documentary of community mobilisation and consultation process in mukuru special planning area, nairobi, kenya
   Iyer E., 2003, Journal of Nonprofit Public Sector Marketing, V11, P41, DOI DOI 10.1300/J054V11N01_04
   Jabeen H, 2019, ENVIRON URBAN, V31, P115, DOI 10.1177/0956247819828274
   Jones S, 2014, GEOFORUM, V57, P78, DOI 10.1016/j.geoforum.2014.07.011
   Kimari W, 2022, Amplifying grassroots COVID-19 responses in Kenya
   Koroma B., 2022, Urbanisation, VVol 7, P17
   Lines K, 2023, ENVIRON URBAN, V35, P49, DOI 10.1177/09562478221149876
   Lines K, 2018, ENVIRON URBAN, V30, P407, DOI 10.1177/0956247818785327
   Maynard-Moody Steven., 2010, OXFORD HDB AM BUREAU, P252
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mintzberg H, 1978, The Structure of Organizations
   Mitlin D, 2008, ENVIRON URBAN, V20, P339, DOI 10.1177/0956247808096117
   Mitlin D, 2023, AREA DEV POLICY, V8, P1, DOI 10.1080/23792949.2022.2148548
   Morgner C, 2020, URBAN FORUM, V31, P489, DOI 10.1007/s12132-020-09389-2
   Mutahi P, 2020, Mambo!
   Muturi J, 2020, Webinar 4
   Nederhand J, 2019, POLICY SCI, V52, P233, DOI 10.1007/s11077-018-9342-4
   Osborne S., 2010, The New Public Governance: Emerging Perspectives on the Theory and Practice of Public Governance, DOI [10.4324/9780203861684, DOI 10.4324/9780203861684]
   Osuteye E, 2020, Open Health, V1, P51
   Ouma S, 2023, J EAST AFR STUD, V17, P363, DOI 10.1080/17531055.2023.2268364
   Patel S, 2012, ENVIRON URBAN, V24, P13, DOI 10.1177/0956247812438366
   Rivero-Villar A, 2022, CLIM DEV, V14, P208, DOI 10.1080/17565529.2021.1906203
   Roman C G, 2006, "Understanding community justice partnerships: testing a conceptual framework and foundations for measurement abstract"
   Schepis D, 2011, ANZMAC 2011 C P
   SCOTT J, 1988, SOCIOLOGY, V22, P109, DOI 10.1177/0038038588022001007
   SDI, 2018, Know your city: slum dwellers count 'We don't need others to collect information on our settlements. We can do it ourselves!'
   SDI, 2022, "Global network of slum dwellers: explore our network"
   Seeliger L, 2014, ENVIRON URBAN, V26, P184, DOI 10.1177/0956247813516240
   Seixas C.S., 2010, International Journal of the Commons, V4, P183
   Smith DH, 1997, NONPROF VOLUNT SEC Q, V26, P269, DOI 10.1177/0899764097263002
   Sommer E, 2021, GLOBAL NETW, V21, P608, DOI 10.1111/glob.12302
   SPARC, 2022, "COVID 19 work
   Steege R, 2021, Nairobis CHVs to receive monthly stipend
   Sverdlik A, 2024, "African cities in the wake of Covid-19: tracing multiple inequalities, official responses and grassroots strategies in Harare, Kampala, Lilongwe and Nairobi"
   Sverdlik A, 2022, African Cities Research Consortium Briefing Paper
   Tayler J, 2020, "Sierra Leone SDI alliance response to Covid-19"
   Van Thiel S., 2014, Research methods in public administration and public management
   Venkataravi R, 2016, Partnership among Grassroots Organizations
   Wasserman S, 1994, STRUCTURAL ANAL SOCI, V8, DOI DOI 10.1017/CBO9780511815478
   Weru J, 2021, SDI Kenya
   Yin R. K., 2018, Case study research and applications: Design and methods, V6th
NR 68
TC 0
Z9 0
U1 1
U2 1
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD 2025 MAR 12
PY 2025
DI 10.1177/09562478251318230
EA MAR 2025
PG 24
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA 0BZ7Y
UT WOS:001443764000001
DA 2025-04-22
ER

PT J
AU Raskin, J
   Wang, YM
AF Raskin, Jay
   Wang, Yumei
TI Fifty-Year Resilience Strategies for Coastal Communities at Risk for
   Tsunamis
SO NATURAL HAZARDS REVIEW
LA English
DT Article
DE Resilience; Tsunami; Evacuation; Tsunami refuge; Cascadia
AB Low-lying coastal communities along plate boundary subduction zones face a high risk of deadly earthquakes, tsunamis, and coastal subsidence. To effectively manage the damaging impact of these events, coastal communities must develop a new vision for their postdisaster existence. New 50-year resilience master plans that strategically strengthen or relocate existing critical infrastructure, provide for clear evacuation routes, and modify land use need to acknowledge the economic realities of these coastal communities whose economies are typically based on their proximity to the ocean. The transition period outlined in the master plan must not only maintain the economic, cultural, and social viability of the community but also must embrace new modern urban development and its associated costs. This paper uses Seaside, Oregon, as the model because of its status as having Oregon's highest tsunami risk. Three scenarios are presented: (1)maintaining the status quo, in which the likelihood of a postdisaster recovery is low; (2)limited resilience, emphasizing protection of the most vulnerable population; and (3)high resilience, which requires building a new local town center protected from earthquakes and tsunamis.
C1 [Wang, Yumei] Sustainable Living Solut LLC, Portland, OR 97214 USA.
RP Wang, YM (corresponding author), Sustainable Living Solut LLC, Portland, OR 97214 USA.
EM Jay@jayraskinarchitect.com; yumei.wang@comcast.net
CR [Anonymous], 2013, OR RES PLAN
   Goettel K., 2011, AGU FALL M
   Goldfinger C., 2012, TURBIDITE EVENT HIST
   Heintz J., 2008, P646 FEMA
   Priest G. R., 2013, O1313 OR DEP GEOL MI
   Raskin J., 2014, 2 INT C VULN RISK AN
   Raskin Jay, 2011, Obras y Proyectos, P11
   Wang YM, 2010, CROP PROT, V29, P128, DOI 10.1016/j.cropro.2009.10.004
   Wood N., 2007, Variations in City Exposure and Sensitivity to Tsunami Hazards in Oregon
   Wood N, 2014, INT J DISAST RISK RE, V9, P68, DOI 10.1016/j.ijdrr.2014.04.009
   Wood NJ, 2012, NAT HAZARDS, V62, P275, DOI 10.1007/s11069-011-9994-2
NR 11
TC 12
Z9 13
U1 0
U2 26
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
J9 NAT HAZARDS REV
JI Nat. Hazards Rev.
PD FEB
PY 2017
VL 18
IS 1
SI SI
AR UNSP B4016003
DI 10.1061/(ASCE)NH.1527-6996.0000220
PG 9
WC Engineering, Civil; Environmental Studies; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
GA EK9KG
UT WOS:000394242600007
DA 2025-04-22
ER

PT J
AU Ivona, A
   Lopez, L
AF Ivona, Antonietta
   Lopez, Lucrezia
TI Preserving and Developing Small Italian Borghi. An Economic
   Strategy to Enhance Sustainable Cultural Tourism?
SO SUSTAINABILITY
LA English
DT Article
DE resilience; Borghi; cultural resources; development;
   NRRP; Italy
ID RESILIENCE
AB During recent years, a lot of attention has been given to economic and demographic trends in different rural areas. Considering this, the main aim of the present work is answering the following research question: Can a robust resilience of small towns and villages (also called Borghi, in Italian), bolstered by powerful planning and financial force through the NRRP, reverse the abandonment process? Our case study refers to Italy. In physics, resilience refers to the ability of a system to recover shape and balance after some form of turbulence. Applied to regional and urban development, this term is generally construed as the ability of a system to respond to changes that occur at different territorial scales. Beyond the interpretative differences, the potential of the concept of resilience for the analysis of the economic growth dynamics of the territories remains significant. The initial findings of this work reveal how the interventions in marginalised areas have failed to correspond to the intended 'territoriality', thus compromising their effectiveness.
C1 [Ivona, Antonietta] Univ Bari, Dept Econ & Finance, I-70121 Bari, Italy.
   [Lopez, Lucrezia] Univ Santiago de Compostela, Dept Geog, Santiago De Compostela 15782, Spain.
C3 Universita degli Studi di Bari Aldo Moro; Universidade de Santiago de
   Compostela
RP Lopez, L (corresponding author), Univ Santiago de Compostela, Dept Geog, Santiago De Compostela 15782, Spain.
EM antonietta.ivona@uniba.it; lucrezia.lopez@usc.es
CR [Anonymous], 2022, Documentazione di Finanza Pubblica N. 4
   Antolini F., 2007, Politiche di Sviluppo nelle Aree Urbane
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Bizzarri C, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13126643
   Celant A., 2000, Ecosostenibilit e Risorse Competitive. Le Compatibilit Ambientali nei Processi Produttivi
   Coppola P., 1998, Geotema, V10, P3
   Cor G., 2022, PNRR ITALIA. Il Difficile Equilibrio tra i Territori
   Corna Pellegrini G., 2009, Nuove Comunicazioni Globali e Nuove Geograf, P13
   Eyles J., 1985, Senses of place
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Grillotti Di Giacomo M.G., 2005, The Italian Rural Systems Atlas
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Italia Domani, 2023, Il Piano Nazionale di Ripresa e Resilienza
   Ivona A., 2022, Memorie Geografiche Vol. XXI Oltre la Globalizzazione. Catene/Chains, P115
   Lee K., 2021, China's Technological Leapfrogging and Economic Catch-Up
   Manzi E., 2000, Riv. Geogr. Ital, V2, P255
   Martinelli L., 2020, LItalia Bella Dentro. Storie di Resilienza, Innovazione e Ritorno nelle Aree Interne Altra Economia
   Milanovic B, 2022, REV INCOME WEALTH, V68, P43, DOI 10.1111/roiw.12516
   Osti G., 2020, AttivAree. Un Disegno di Rinascita delle Aree Interne
   Paolella A., 2019, Il Riuso dei Borghi Abbandonati. Esperienze di Comunit
   Pazzagli R., 2015, Tafter J, V84, P1
   Piano Nazionale Ripresa e Resilienza (PNRR), 2021, Piano di Sviluppo e Incremento resilienza
   Pileri P., 2018, Urban Tracks, V26, P16
   POLLICE F., 2018, Bollettino della Societa Geografica Italiana, V14, P41
   Ringwood L, 2019, GROWTH CHANGE, V50, P381, DOI 10.1111/grow.12265
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Santangelo S, 2022, DOC GEOGR, V1, P331, DOI 10.19246/DOCUGEO2281-7549/202201_18
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sommella R., 1998, Geotema, V10, P7
   SVIMEZ Rapporto, 2024, SVIMEZ 2023 Sulleconomia del Mezzogiorno
   Tukker A, 2005, INT J INNOV SUSTAIN, V1, P65, DOI 10.1504/IJISD.2005.008087
   UPB Ufficio Parlamentare di Bilancio, 2023, Memoria della Presidente dell'Ufficio Parlamentare di Bilancio
   Viesti G., 2024, Il PNRR e i Divari Territoriali
   Wang Z., 2010, ADB Working ADB Working Paper Series on Regional Economic Integration
   Watson Jim, 2011, International Journal of Technology and Globalisation, V5, P170, DOI 10.1504/IJTG.2011.039763
   Yap XS, 2022, ENVIRON INNOV SOC TR, V44, P226, DOI 10.1016/j.eist.2022.07.003
NR 37
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2025
VL 17
IS 4
AR 1621
DI 10.3390/su17041621
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA Y4I3F
UT WOS:001431775700001
OA gold
DA 2025-04-22
ER

PT J
AU Alizadeh, H
   Sharifi, A
AF Alizadeh, Hadi
   Sharifi, Ayyoob
TI Toward a societal smart city: Clarifying the social justice dimension of
   smart cities
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Societal smart city; Social justice; Participatory governance; Urban
   planning; Sustainable cities; Tehran
ID GOVERNANCE; CONSENSUS; PARTICIPATION; TECHNOLOGIES; CITIZENSHIP;
   INDICATORS; FRAMEWORK; DEMOCRACY; LITERACY; INTERNET
AB Smart cities have gained prominence in theory and practice over the past two decades. While many aspects of smart cities have been explored, there has been a disproportionate focus on physical and technological elements at the expense of social justice and democratic values. Although there have been attempts to advance the ideas of human-centric or people-centric approaches, a comprehensive perspective encompassing social rights, democratic values, and social justice is still missing. To fill this gap, this study introduces the concept of 'societal smart city', discusses its dimensions, and clarifies aspects of social justice as one of the main dimensions of a societal smart city. In addition to theoretical elaborations, we offer a case study of Tehran, the capital city of Iran, which has recently invested significantly in its technological infrastructure. For this purpose, we conducted a questionnaire survey. Results of the Explanatory Factor Analysis (EFA) indicate that four key factors, namely citizencentric governance (alpha: 0.92, loading 15 variables), inclusive services (alpha: 0.91, loading 11 variables), resilient infrastructure (alpha: 0.9, loading 8 variables), and information literacy (alpha: 0.91, loading 6 variables) are the main underlying factors of social justice in Tehran. The study highlights the importance of social justice as a major dimension of the societal smart city and provides new insights for urban planners and policymakers on how to realize a societal smart city that offers benefits beyond physical and technological advances.
C1 [Alizadeh, Hadi] Shahid Chamran Univ Ahvaz, Fac Humanities, Dept Geog & Urban Planning, Golestan Blvd, Ahvaz, Iran.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst, Higashihiroshima, Japan.
C3 Shahid Chamran University of Ahvaz; Hiroshima University
RP Alizadeh, H (corresponding author), Shahid Chamran Univ Ahvaz, Fac Humanities, Dept Geog & Urban Planning, Golestan Blvd, Ahvaz, Iran.
EM std.hadi@gmail.com
RI Alizadeh, Hadi/AAG-4671-2021; Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613; Alizadeh, Hadi/0000-0001-6618-0209
CR Ahmad K, 2022, COMPUT SCI REV, V43, DOI 10.1016/j.cosrev.2021.100452
   Alizadeh H, 2023, TRANSP DEV ECON, V9, DOI 10.1007/s40890-023-00178-7
   Alizadeh H, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102514
   ALLWOOD J., 2017, Proceedings, V1, P259, DOI DOI 10.3390/IS4SI-2017-04120
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Anttiroiko AV, 2014, AI SOC, V29, P323, DOI 10.1007/s00146-013-0464-0
   Antwi-Afari P, 2021, J URBAN MANAG, V10, P369, DOI 10.1016/j.jum.2021.06.005
   Apanaviciene R, 2020, ENERGIES, V13, DOI 10.3390/en13092190
   Apostu SA, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192215410
   Attaran H, 2022, GEOJOURNAL, V87, P511, DOI 10.1007/s10708-021-10560-w
   Baltac V, 2019, SMART CITIES-BASEL, V2, P538, DOI 10.3390/smartcities2040033
   Baltar F, 2012, INTERNET RES, V22, P57, DOI 10.1108/10662241211199960
   Barns S., 2018, CITY CULTURE SOC, V12, P5, DOI DOI 10.1016/J.CCS.2017.09.006
   Batagan Lorena, 2011, Informatica Economica, V15, P80
   Batty M, 2012, EUR PHYS J-SPEC TOP, V214, P481, DOI 10.1140/epjst/e2012-01703-3
   Biancardi M, 2021, CHAOS SOLITON FRACT, V153, DOI 10.1016/j.chaos.2021.111554
   Biasutti M, 2017, ENVIRON EDUC RES, V23, P214, DOI 10.1080/13504622.2016.1146660
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Breuer J., 2019, Architecture and the Smart City, P126, DOI DOI 10.4324/9780429324468-10
   Calzada I, 2023, J URBAN AFF, V45, P1537, DOI 10.1080/07352166.2021.1994861
   Cano J, 2014, COMPUTER, V47, P65, DOI 10.1109/MC.2014.280
   Capdevila I., 2015, J STRATEGY MANAG
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Cardullo P, 2019, RIGHT TO THE SMART CITY, P1
   Cardullo P, 2019, GEOJOURNAL, V84, P1, DOI 10.1007/s10708-018-9845-8
   Chang V, 2021, TECHNOL FORECAST SOC, V165, DOI 10.1016/j.techfore.2020.120559
   Clarke NJ, 2020, SMART SUSTAIN BUILT, V9, P144, DOI 10.1108/SASBE-09-2017-0041
   Clauss-Ehlers C.S., 2010, Encyclopedia of cross-cultural school psychology, DOI [DOI 10.1007/978-0-387-71799-9_212, 10.1007/978-0-387-71799-9, DOI 10.1007/978-0-387-71799-9]
   Cocchia A, 2014, PROGR IS, P13, DOI 10.1007/978-3-319-06160-3_2
   Comber R., 2019, P CHI C HUMAN FACTOR, P1
   Cortes-Cediel Maria E., 2021, Social Science Computer Review, V39, P592, DOI 10.1177/0894439319877478
   Council of Europe, 2010, CONV PROT HUM RIGHTS
   Danilina N, 2019, E3S WEB CONF, V97, DOI 10.1051/e3sconf/20199701005
   Doorn N, 2019, SUSTAIN RESIL INFRAS, V4, P99, DOI 10.1080/23789689.2019.1574515
   Doorn N, 2019, SUSTAIN RESIL INFRAS, V4, P112, DOI 10.1080/23789689.2018.1428162
   Edelenbos J, 2018, PUB ADMIN INF TECH, V24, P35, DOI 10.1007/978-3-319-58577-2_3
   Effing Robin, 2016, Electronic Government. 15th IFIP WG 8.5 International Conference, EGOV 2016. Proceedings: LNCS 9820, P241, DOI 10.1007/978-3-319-44421-5_19
   Raffaghelli JE, 2020, EDUC SCI, V10, DOI 10.3390/educsci10090233
   Elzinga C, 2011, INFORM SCIENCES, V181, P2529, DOI 10.1016/j.ins.2011.02.001
   Etikan I., 2017, Biometrics Biostatistics International Journal, V5, DOI [10.15406/bbij.2017.05.00149, DOI 10.15406/BBIJ.2017.05.00149]
   Eubanks Virginia., 2012, DIGITAL DEAD END FIG, DOI DOI 10.7551/MITPRESS/8073.001.0001
   Fast V., 2021, CALGARY I HUMANITIES, P6
   Fontaine J.R. J., 2005, ENCY SOCIAL MEASUREM, P803, DOI 10.1016/B0-12-369398-5/00116-X
   Foth M., 2015, Citizen's Right to the Digital City, P978
   Gardoni P, 2020, SUSTAIN RESIL INFRAS, V5, P4, DOI 10.1080/23789689.2018.1448667
   Hammons Rebecca, 2019, IEEE Internet of Things Magazine, V2, P10, DOI 10.1109/IOTM.001.1900017
   Harrison C, 2010, IBM J RES DEV, V54, DOI 10.1147/JRD.2010.2048257
   Ji TT, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2020.102691
   Jia T, 2013, SCI REP-UK, V3, DOI 10.1038/srep02354
   Joss S, 2017, J URBAN TECHNOL, V24, P29, DOI 10.1080/10630732.2017.1336027
   Kanthavel H., 2021, Int. J. Intell. Netw., V2, P77, DOI [DOI 10.1016/J.IJIN.2021.06.003, 10.1016/j.ijin.2021.06.003]
   Katsikas S., 2019, P 8 INT C E DEM 2019
   Kim H, 2021, RENEW SUST ENERG REV, V140, DOI 10.1016/j.rser.2021.110755
   Kitchin R, 2019, RIGHT TO THE SMART CITY, P1, DOI 10.1108/978-1-78769-139-120191001
   König PD, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103308
   Koltay T, 2011, MEDIA CULT SOC, V33, P211, DOI 10.1177/0163443710393382
   Lee JY, 2020, GEOGR COMPASS, V14, DOI 10.1111/gec3.12504
   Lee J, 2023, INT J URBAN SCI, V27, P75, DOI 10.1080/12265934.2022.2074076
   Lee J, 2014, GOV INFORM Q, V31, pS93, DOI 10.1016/j.giq.2014.01.010
   Lim SB, 2022, SMART CITIES-BASEL, V5, P71, DOI 10.3390/smartcities5010005
   Luque-Ayala A., 2019, Handbook of Urban Geography, P210, DOI [10.4337/9781785364600.00024, DOI 10.4337/9781785364600.00024]
   Lyons G, 2018, TRANSPORT RES A-POL, V115, P4, DOI 10.1016/j.tra.2016.12.001
   Lytras MD, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061998
   Mahajan S, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103942
   Makiela ZJ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063516
   Malek JA, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010376
   Marsal-Llacuna ML, 2017, SOC INDIC RES, V130, P563, DOI 10.1007/s11205-015-1192-2
   Marsal-Llacuna ML, 2016, SOC INDIC RES, V128, P1193, DOI 10.1007/s11205-015-1075-6
   Masucci M, 2020, ANN AM ASSOC GEOGR, V110, P476, DOI 10.1080/24694452.2019.1617101
   McKenna H. P., 2016, SMARTER NEW URBAN AG, P87
   Mills DE, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169189
   Mullick M., 2022, City Cult. Soc, V30, P100474, DOI [https://doi.org/10.1016/j.ccs.2022.100474, DOI 10.1016/J.CCS.2022.100474]
   Nederhand J, 2023, CITIES, V137, DOI 10.1016/j.cities.2023.104257
   Noori N, 2020, SMART CITIES-BASEL, V3, P676, DOI 10.3390/smartcities3030035
   OLKEN F, 1995, STAT COMPUT, V5, P25, DOI 10.1007/BF00140664
   Olsen AA, 2021, CURR PHARM TEACH LEA, V13, P1376, DOI 10.1016/j.cptl.2021.07.018
   Pacheco J, 2016, IEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016), P139
   Pangrazio L, 2021, J NEW APPROACHES EDU, V10, P15, DOI 10.7821/naer.2021.1.616
   Panori A, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2020.104631
   Park S, 2018, APPL SCI-BASEL, V8, DOI 10.3390/app8112239
   Pereira GV, 2017, INFORM TECHNOL DEV, V23, P526, DOI 10.1080/02681102.2017.1353946
   Pournaras E, 2020, J PARALLEL DISTR COM, V145, P160, DOI 10.1016/j.jpdc.2020.06.015
   Qian Y, 2019, IEEE NETWORK, V33, P4, DOI 10.1109/mnet.2019.8675165
   Gil-Garcia JR, 2016, GOV INFORM Q, V33, P524, DOI 10.1016/j.giq.2016.03.002
   Reuter TK, 2019, J HUM RIGHTS, V18, P382, DOI 10.1080/14754835.2019.1629887
   Rochet C., 2020, HDB SMART CITIES, P1
   Bolívar MPR, 2016, SOC SCI COMPUT REV, V34, P673, DOI 10.1177/0894439315611088
   Rosol M., 2022, CITY, P1
   Salganik MJ, 2004, SOCIOL METHODOL, V34, P193, DOI 10.1111/j.0081-1750.2004.00152.x
   Sanders CK, 2021, J HUM RIGHTS SOC WOR, V6, P130, DOI 10.1007/s41134-020-00147-9
   Scuotto V, 2016, BUS PROCESS MANAG J, V22, P357, DOI 10.1108/BPMJ-05-2015-0074
   Sepasgozar SME, 2019, TECHNOL FORECAST SOC, V142, P105, DOI 10.1016/j.techfore.2018.09.012
   Shahat E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063386
   Sharifi A, 2023, CITIES, V134, DOI 10.1016/j.cities.2023.104207
   Sharifi A, 2023, PROG PLANN, V173, DOI 10.1016/j.progress.2023.100740
   Sharifi A, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101936
   Sharifi A, 2019, J CLEAN PROD, V233, P1269, DOI 10.1016/j.jclepro.2019.06.172
   Shen LY, 2018, J CLEAN PROD, V200, P667, DOI 10.1016/j.jclepro.2018.07.281
   Shin SY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13074076
   Shokouhi M. A., 2016, IRAN U SCI TECHNOLOG, V26, P141
   Smart Tehran Program, 2020, SMART TEHR PROGR ANN
   Stratigea A, 2015, J URBAN TECHNOL, V22, P43, DOI 10.1080/10630732.2015.1018725
   Sugandha, 2022, City Cult. Soc, V29, DOI [10.1016/j.ccs.2022.100460, DOI 10.1016/J.CCS.2022.100460]
   Tan SY, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030899
   Tenzek K.E., 2017, ENCY COMMUNICATION R, P1613
   Toohey L, 2019, MACQUARIE LAW J, V19, P133
   Truby J, 2020, SUSTAIN DEV, V28, P946, DOI 10.1002/sd.2048
   van Gils BAM, 2023, INT J URBAN SCI, V27, P29, DOI 10.1080/12265934.2021.1938640
   Verrest H, 2019, INFORM COMMUN SOC, V22, P1328, DOI 10.1080/1369118X.2018.1424921
   Vinod Kumar T. M., 2017, E DEMOCRACY SMART CI, DOI 10.1007/978-981-10-4035-1_1
   WEILER RM, 1995, HEALTH VAL, V19, P53
   Wiig A, 2016, URBAN GEOGR, V37, P485, DOI 10.1080/02723638.2016.1178479
   Willis K. S., 2019, WHOSE RIGHT SMART CI
   Wu BN, 2022, INFORM PROCESS MANAG, V59, DOI 10.1016/j.ipm.2021.102754
   Wu FL, 2000, URBAN STUD, V37, P1359, DOI 10.1080/00420980020080161
   Yeh JS, 2016, AM HEALTH DRUG BENEF, V9, P42
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 118
TC 37
Z9 37
U1 9
U2 41
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD AUG
PY 2023
VL 95
AR 104612
DI 10.1016/j.scs.2023.104612
EA APR 2023
PG 12
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA G5RZ6
UT WOS:000989740100001
DA 2025-04-22
ER

PT J
AU Keenan, JM
   Maxwell, K
AF Keenan, Jesse M.
   Maxwell, Keely
TI Rethinking the design of resilience and adaptation indicators supporting
   coastal communities
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article
DE indicators; indicator design; flooding; coasts; resilience; adaptation;
   climate change; socio-environmental synthesis
ID URBAN CLIMATE RESILIENCE; SUSTAINABILITY INDICATORS; SOCIAL
   VULNERABILITY; FISHING COMMUNITIES; FLOOD; SYSTEMS; INDEX; ECOSYSTEM;
   RECOVERY; ECOLOGY
AB As resilience and adaptation considerations become mainstreamed into public policy, there is an overarching desire to measure and quantify metrics and indicators that seek to evaluate the efficiency, effectiveness, and justness associated with outcomes of such processes. While much research has sought to develop specific indicators that may serve as proxies for these considerations, less research has focused on those normative aspects of indicator design that support a variety of goals associated with the accuracy, reproducibility, proxy value and multi-stakeholder translation of indicators, among various other goals and values. This perspective article sets forth a range of potential considerations that may be useful for those who seek to design and develop novel resilience and adaptation indicators ("RAIs"). These considerations are explored through a range of hypothetical examples that may be applicable to coastal communities that seek to address the practical challenges facing the design, execution, management and modification of RAIs.
C1 [Keenan, Jesse M.] Tulane Univ, New Orleans, LA 70118 USA.
   [Maxwell, Keely] US EPA, Washington, DC 20460 USA.
C3 Tulane University; United States Environmental Protection Agency
RP Keenan, JM (corresponding author), Tulane Univ, New Orleans, LA 70118 USA.
EM jkeenan@tulane.edu
OI Keenan, Jesse/0000-0003-4058-1682
FU National Socio-Environmental Synthesis Center (SESYNC); National Science
   Foundation [DBI-1639145]
FX This work was supported by the National Socio-Environmental Synthesis
   Center (SESYNC) under funding received from the National Science
   Foundation DBI-1639145. Thank you to all of the participants of the
   workshop entitled, "Socio-environmental Systems Indicators for Climate
   Change Adaptation and Resilience in the U.S."
CR [Anonymous], 1998, Indicators and Information Systems for Sustainable Development
   [Anonymous], 2016, Climate Change Indicators in the United States: Wildfires
   [Anonymous], 2012, HIST DUSTHEAP WASTE
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Bastianoni S, 2012, ECOL INDIC, V16, P47, DOI 10.1016/j.ecolind.2011.10.001
   Beccari Benjamin, 2016, PLoS Curr, V8, DOI 10.1371/currents.dis.453df025e34b682e9737f95070f9b970
   Bergstrand K, 2015, SOC INDIC RES, V122, P391, DOI 10.1007/s11205-014-0698-3
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Breslow S., 2017, ECOSYST HEALTH SUST, V3, P1, DOI [10.1080/20964129.2017.1411767, DOI 10.1080/20964129.2017.1411767, 10.1080/ 20964129.2017.1411767]
   Brock WA, 2006, ECOL SOC, V11
   Brown C, 2018, ENVIRON DEV SUSTAIN, V20, P23, DOI 10.1007/s10668-016-9891-7
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Caillon S, 2017, ECOL SOC, V22, DOI 10.5751/ES-09746-220427
   Chang SE, 2015, NAT HAZARDS, V78, P1827, DOI 10.1007/s11069-015-1803-x
   Chen SY, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45100-7
   Chuang WC, 2018, J ENVIRON MANAGE, V213, P353, DOI 10.1016/j.jenvman.2018.01.083
   Clark S., 2002, POLICY PROCESS PRACT
   Colburn LL, 2016, MAR POLICY, V74, P323, DOI 10.1016/j.marpol.2016.04.030
   Corrigan C, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12397
   Crate S.A., 2009, Anthropology and climate change: from encounters to actions
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   Donatuto J, 2014, COAST MANAGE, V42, P355, DOI 10.1080/08920753.2014.923140
   Doorn N., 2017, J RISK RES, V20, P711, DOI [10.1080/13669877.2015.1100662, DOI 10.1080/13669877.2015.1100662]
   Eisenberg D.A., 2014, SOLUTIONS, V5, P76
   English PB, 2009, ENVIRON HEALTH PERSP, V117, P1673, DOI 10.1289/ehp.0900708
   Environmental Protection Agency (EPA), 2015, ENV RES EXPL SCI CON
   Environmental Protection Agency (EPA), 2014, EPA600R07045F
   EPA, 2017, EPA600R16365F
   Fekete A, 2018, INT J DISAST RISK RE, V31, P203, DOI 10.1016/j.ijdrr.2018.05.004
   Fischer AP, 2013, J FOREST, V111, P357, DOI 10.5849/jof.12-091
   Fisher S, 2019, ENVIRON POLICY GOV, V29, P235, DOI 10.1002/eet.1851
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Fleming E.J., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, P322, DOI [10.7930/NCA4.2018.CH8, DOI 10.7930/NCA4.2018.CH8]
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Force JE, 1997, SOC NATUR RESOUR, V10, P369, DOI 10.1080/08941929709381035
   Frazier AE, 2013, INT J APPL EARTH OBS, V21, P43, DOI 10.1016/j.jag.2012.07.019
   Gooch M, 2012, SOC NATUR RESOUR, V25, P421, DOI 10.1080/08941920.2011.608183
   Heink U, 2010, ECOL INDIC, V10, P584, DOI 10.1016/j.ecolind.2009.09.009
   Hsu A., 2013, MEASURING PROGR PRAC
   Jacob S, 2013, MAR POLICY, V37, P86, DOI 10.1016/j.marpol.2012.04.014
   Johnson TR, 2014, HUM ECOL REV, V20, P97
   Keck F., 2013, LIMN, V1, P2
   Kenney MA, 2020, CLIMATIC CHANGE, V163, P1705, DOI 10.1007/s10584-018-2307-y
   Klos PZ, 2015, WEATHER CLIM SOC, V7, P238, DOI 10.1175/WCAS-D-13-00070.1
   Klug H, 2015, ECOL MODEL, V295, P66, DOI 10.1016/j.ecolmodel.2014.04.009
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Leiter T., 2019, Adaptation Metrics. Current Landscape and Evolving Practices
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   Marino E, 2018, GLOBAL ENVIRON CHANG, V49, P10, DOI 10.1016/j.gloenvcha.2018.01.002
   Marques AS, 2013, OCEAN COAST MANAGE, V72, P36, DOI 10.1016/j.ocecoaman.2011.07.007
   Maxwell K., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII., P438, DOI DOI 10.7930/NCA4.2018.CH11
   Maxwell Keely, 2018, J Nat Resour Policy Res, V8, P110
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   National Academies of Sciences Engineering and Medicine(NAS), 2019, BUILD MEAS COMM RES
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Niemeijer D., 2002, ENVIRON SCI POLICY, V5, P91, DOI DOI 10.1016/S1462-9011(02)00026-6
   NOSS RF, 1990, CONSERV BIOL, V4, P355, DOI 10.1111/j.1523-1739.1990.tb00309.x
   Office of Environmental Health Hazard Assessment (OEHHA), 2018, IND CLIM CHANG CAL
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Oulahen G, 2018, J ENVIRON PLANN MAN, V61, P2491, DOI 10.1080/09640568.2017.1399109
   Oulahen G, 2015, ANN ASSOC AM GEOGR, V105, P473, DOI 10.1080/00045608.2015.1012634
   Pfefferbaum B, 2015, AM BEHAV SCI, V59, P238, DOI 10.1177/0002764214550298
   Pires A, 2017, SCI TOTAL ENVIRON, V578, P139, DOI 10.1016/j.scitotenv.2016.10.217
   Pralle S, 2019, CLIMATIC CHANGE, V152, P227, DOI 10.1007/s10584-018-2287-y
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Ragini JR, 2018, INT J INFORM MANAGE, V42, P13, DOI 10.1016/j.ijinfomgt.2018.05.004
   Ramenzoni VC, 2017, ENVIRON SOC, V8, P9, DOI 10.3167/ares.2017.080102
   Reyes-García V, 2016, WIRES CLIM CHANGE, V7, P109, DOI 10.1002/wcc.374
   Scheffer M, 2015, ANNU REV ECOL EVOL S, V46, P145, DOI 10.1146/annurev-ecolsys-112414-054242
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Spiller M, 2016, SCI TOTAL ENVIRON, V569, P751, DOI 10.1016/j.scitotenv.2016.06.088
   Sterling EJ, 2017, NAT ECOL EVOL, V1, P1798, DOI 10.1038/s41559-017-0349-6
   Suweis S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101851
   Tully K, 2019, BIOSCIENCE, V69, P368, DOI 10.1093/biosci/biz027
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   U.S. Global Change Research Program, 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, DOI DOI 10.7930/NCA4.2018
   van den Berg HJ, 2019, ENVIRON SCI POLICY, V94, P90, DOI 10.1016/j.envsci.2018.12.015
   van Wesenbeeck CFA, 2016, APPL GEOGR, V66, P81, DOI 10.1016/j.apgeog.2015.11.001
   Vugteveen P, 2015, OCEAN COAST MANAGE, V109, P29, DOI 10.1016/j.ocecoaman.2015.02.011
   Walz R, 2000, ENVIRON MANAGE, V25, P613, DOI 10.1007/s002670010048
   Zautra A, 2008, COMMUNITY DEV, V39, P130, DOI 10.1080/15575330809489673
NR 88
TC 4
Z9 5
U1 8
U2 42
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0964-0568
EI 1360-0559
J9 J ENVIRON PLANN MAN
JI J. Environ. Plan. Manag.
PD OCT 15
PY 2022
VL 65
IS 12
BP 2297
EP 2317
DI 10.1080/09640568.2021.1971635
EA AUG 2021
PG 21
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA 3F7XJ
UT WOS:000702644500001
PM 37255667
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Zhu, MY
   Heyes, A
AF Zhu, Mingying
   Heyes, Anthony
TI Air pollution and morbidity: evidence from internet search behavior in a
   panel of 100 Chinese cities
SO EMPIRICAL ECONOMICS
LA English
DT Article; Early Access
DE Air pollution; Health; Agriculture fires; Social cost
ID HEALTH EXTERNALITIES; QUALITY; IMPACT; PRODUCTIVITY; COUGH; LIFE;
   MORTALITY; COUNTRIES; CLIMATE
AB We provide linear and nonparametric estimates of the causal impact of short-term exposure to polluted air on the prevalence of cough in a panel of a hundred Chinese cities. In our central estimate, which exploits plausibly exogenous variations in the number of upwind agricultural fires burning in the vicinity as an instrument, we find that a one standard deviation increase in airborne pollution causes a roughly 6% increase in the prevalence of cough in the affected city. Among pollutants, the effect can be tied specifically to particulate matter (PM2.5\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$PM_{2.5}$$\end{document}). The results prove resilient in a series of robustness tests and falsification exercises.
C1 [Zhu, Mingying] Nanjing Univ, Sch Econ, Nanjing 210093, Jiangsu, Peoples R China.
   [Heyes, Anthony] Univ Birmingham, Birmingham, England.
C3 Nanjing University; University of Birmingham
RP Zhu, MY (corresponding author), Nanjing Univ, Sch Econ, Nanjing 210093, Jiangsu, Peoples R China.
EM zhumy@nju.edu.cn; a.g.heyes@bham.ac.uk
OI Zhu, Mingying/0000-0002-3423-074X
FU National Natural Science Foundation of China [72004092]; National
   Natural Science Foundation of China
FX The authors acknowledge the financial support for this project from
   National Natural Science Foundation of China (72004092).
CR Alberini A, 1997, J ENVIRON ECON MANAG, V34, P107, DOI 10.1006/jeem.1997.1007
   Anderson ML, 2020, J EUR ECON ASSOC, V18, P1886, DOI 10.1093/jeea/jvz051
   Arceo E, 2016, ECON J, V126, P257, DOI 10.1111/ecoj.12273
   Archsmith J, 2018, J ASSOC ENVIRON RESO, V5, P827, DOI 10.1086/698728
   Baiardini I, 2005, ALLERGY, V60, P482, DOI 10.1111/j.1398-9995.2005.00743.x
   Barreca AI, 2021, J PUBLIC ECON, V200, DOI 10.1016/j.jpubeco.2021.104440
   Barton DN., 1999, The Quick, the Cheap and the Dirty: Benefit Transfer Approaches to the Non-Market Valuation of Coastal Water Quality in Costa Rica
   Barwick Panle Jia, 2018, Working Paper Series - National Bureau of Economic Research (Massachusetts), DOI 10.3386/w24688
   Bayer P, 2009, J ENVIRON ECON MANAG, V58, P1, DOI 10.1016/j.jeem.2008.08.004
   Baylis Patrick., 2015, Temperature and temperament: Evidence from a billion tweets
   Blazquez D, 2018, TECHNOL FORECAST SOC, V130, P99, DOI 10.1016/j.techfore.2017.07.027
   Bollen J, 2011, J COMPUT SCI-NETH, V2, P1, DOI 10.1016/j.jocs.2010.12.007
   Brunekreef B, 2002, LANCET, V360, P1233, DOI 10.1016/S0140-6736(02)11274-8
   Bucks RS, 2008, BRAIN BEHAV IMMUN, V22, P399, DOI 10.1016/j.bbi.2007.09.005
   Burnett R, 2018, P NATL ACAD SCI USA, V115, P9592, DOI 10.1073/pnas.1803222115
   Chamberlain S, 2013, PULM PHARMACOL THER, V26, P524, DOI 10.1016/j.pupt.2013.03.012
   Chan M, 2012, CYBERPSYCH BEH SOC N, V15, P345, DOI 10.1089/cyber.2012.0109
   Chang T, 2016, AM ECON J-ECON POLIC, V8, P141, DOI 10.1257/pol.20150085
   Chen JM, 2017, SCI TOTAL ENVIRON, V579, P1000, DOI 10.1016/j.scitotenv.2016.11.025
   Chen Ru-chong, 2006, Zhonghua Liu Xing Bing Xue Za Zhi, V27, P123
   Chestnut L.G., 1998, Final report prepared for the World Bank and the Royal Thai Government
   Choi HY, 2012, ECON REC, V88, P2, DOI 10.1111/j.1475-4932.2012.00809.x
   Currie J, 2011, AM ECON REV, V101, P435, DOI 10.1257/aer.101.3.435
   Currie J, 2011, AM ECON J-APPL ECON, V3, P65, DOI 10.1257/app.3.1.65
   Currie J, 2009, J HEALTH ECON, V28, P688, DOI 10.1016/j.jhealeco.2009.02.001
   Deryugina T, 2019, AM ECON REV, V109, P4178, DOI 10.1257/aer.20180279
   Dicpinigaitis PV, 2015, CURR MED RES OPIN, V31, P1519, DOI 10.1185/03007995.2015.1062355
   Doornik J.A., 2009, 8 OXMETRICS US C
   Dubourg R., 1998, The value of preventing respiratory illness in Kuala Lumpur and Petaling Jaya
   Ebenstein A, 2017, P NATL ACAD SCI USA, V114, P10384, DOI 10.1073/pnas.1616784114
   Ettredge M, 2005, COMMUN ACM, V48, P87, DOI 10.1145/1096000.1096010
   Gayo-Avello D, 2012, Arxiv, DOI arXiv:1204.6441
   Gerber MS, 2014, DECIS SUPPORT SYST, V61, P115, DOI 10.1016/j.dss.2014.02.003
   Giglio L., 2015, MODIS COLLECTION 6 A
   Goel S, 2010, P NATL ACAD SCI USA, V107, P17486, DOI 10.1073/pnas.1005962107
   Gupta A, 2017, J ENVIRON ECON MANAG, V86, P262, DOI 10.1016/j.jeem.2017.04.007
   [何立明 HE Liming], 2007, [中国环境监测, Environmental Monitoring in China], V23, P42
   Herrnstadt E, 2014, J ENVIRON ECON MANAG, V68, P435, DOI 10.1016/j.jeem.2014.08.002
   Heyes A, 2019, J ENVIRON ECON MANAG, V98, DOI 10.1016/j.jeem.2019.07.002
   Ibez AM., 2001, Valuing Morbidity: Acute Respiratory Illnesses in Bogot
   Keech M, 1998, OCCUP MED-OXFORD, V48, P85, DOI 10.1093/occmed/48.2.85
   Knittel CR, 2016, REV ECON STAT, V98, P350, DOI 10.1162/REST_a_00548
   Lai Kefang, 2013, Cough, V9, P18, DOI 10.1186/1745-9974-9-18
   Lavaine E, 2017, J ASSOC ENVIRON RESO, V4, P447, DOI 10.1086/691554
   Lavy Victor., 2014, The impact of short term exposure to ambient air pollution on cognitive performance and human capital formation, DOI DOI 10.3386/W20648
   Meegan R., 1998, Contingent Valuation and Reduced Morbidity
   Moretti E, 2011, J HUM RESOUR, V46, P154
   Qin Y, 2018, J POPUL ECON, V31, P235, DOI 10.1007/s00148-017-0653-0
   Rangel MA., 2016, Agricultural Fires and Infant Health, DOI [10.3386/w22955, DOI 10.3386/W22955]
   Rozan A, 2004, ENVIRON RESOUR ECON, V29, P295, DOI 10.1007/s10640-004-5266-x
   Schlenker W, 2016, REV ECON STUD, V83, P768, DOI 10.1093/restud/rdv043
   Stoerk T, 2016, ATMOS ENVIRON, V127, P365, DOI 10.1016/j.atmosenv.2015.12.055
   Vassanadumrongdee S., 2004, ENV EC POLICY STUDIE, V6, P11, DOI DOI 10.1007/BF03353929
   Vaughan L, 2015, J ASSOC INF SCI TECH, V66, P13, DOI 10.1002/asi.23201
   Yuan QY, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064323
   Zhang LB, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/1/014014
   Zheng SQ, 2019, NAT HUM BEHAV, V3, P237, DOI 10.1038/s41562-018-0521-2
   Zivin JG, 2012, AM ECON REV, V102, P3652, DOI 10.1257/aer.102.7.3652
NR 58
TC 0
Z9 0
U1 2
U2 2
PU PHYSICA-VERLAG GMBH & CO
PI HEIDELBERG
PA PO BOX 10 52 80, 69042 HEIDELBERG, GERMANY
SN 0377-7332
EI 1435-8921
J9 EMPIR ECON
JI Empir. Econ.
PD 2024 DEC 5
PY 2024
DI 10.1007/s00181-024-02688-8
EA DEC 2024
PG 42
WC Economics; Social Sciences, Mathematical Methods
WE Social Science Citation Index (SSCI)
SC Business & Economics; Mathematical Methods In Social Sciences
GA O4F8J
UT WOS:001370715100001
DA 2025-04-22
ER

PT J
AU Dawson, DA
   Vercruysse, K
   Wright, N
AF Dawson, David A.
   Vercruysse, Kim
   Wright, Nigel
TI A spatial framework to explore needs and opportunities for interoperable
   urban flood management
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE pluvial flooding; systems-thinking; infrastructure; planning
ID RISK-MANAGEMENT; SYSTEMS-APPROACH; GREEN; INFRASTRUCTURE; RESILIENCE;
   CHALLENGES; ADAPTATION; STRATEGIES
AB Managing current and future urban flood risks must consider the connection (i.e. interoperability) between existing (and new) infrastructure systems to manage stormwater (pluvial flooding). Yet, due to a lack of systematic approaches to identify interoperable flood management interventions, opportunities are missed to combine investments of existing infrastructure (e.g. drainage, roads, land use and buildings) with blue-green infrastructure (e.g. sustainable urban drainage systems, green roofs, green spaces). In this study, a spatial analysis framework is presented combining hydrodynamic modelling with spatial information on infrastructure systems to provide strategic direction for systems-level urban flood management (UFM). The framework is built upon three categories of data: (i) flood hazard areas (i.e. characterize the spatial flood problem); (ii) flood source areas (i.e. areas contributing the most to surface flooding); (iii) the interoperable potential of different systems (i.e. which infrastructure systems can contribute to water management functions). Applied to the urban catchment of Newcastle-Upon-Tyne (UK), the study illustrates the novelty of combining spatial data sources in a systematic way, and highlights the spatial (dis)connectivity in terms of flood source areas (where most of the flood management intervention is required) and the benefit areas (where most of the reduction in flooding occurs). The framework provides a strategic tool for managing stormwater pathways from an interoperable perspective that can help city-scale infrastructure development that considers UFM across multiple systems.
   This article is part of the theme issue 'Urban flood resilience'.
C1 [Dawson, David A.; Vercruysse, Kim] Univ Leeds, Sch Civil Engn, Leeds LS2 9JT, W Yorkshire, England.
   [Wright, Nigel] Nottingham Trent Univ, Sch Architecture Design & Built Environm, Nottingham NG1 4FQ, England.
   [Vercruysse, Kim] Cranfield Univ, Sch Water Energy & Environm, Cranfield MK43 0AL, Beds, England.
C3 University of Leeds; Nottingham Trent University; Cranfield University
RP Dawson, DA (corresponding author), Univ Leeds, Sch Civil Engn, Leeds LS2 9JT, W Yorkshire, England.
EM d.a.dawson@leeds.ac.uk
RI Wright, Nigel/ABO-7247-2022; Vercruysse, Kim/AAY-7107-2020; Wright,
   Nigel/B-3846-2009
OI Vercruysse, Kim/0000-0001-9716-5191; Wright, Nigel/0000-0002-1289-2830
FU Engineering and Physical Sciences Research Council (EPSRC)
   [EP/P004296/1, EP/P004261/2]; EPSRC [EP/P004296/1]; EPSRC [EP/I030735/1,
   EP/P004296/1, EP/P004261/2, EP/P004180/1, EP/P004261/1] Funding Source:
   UKRI
FX This research was funded by the Engineering and Physical Sciences
   Research Council (EPSRC) research grant nos (EP/P004296/1,
   EP/P004261/2), in collaboration with the EPSRC-funded Urban Flood
   Resilience research consortium (EP/P004296/1).
CR Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Ahilan S, 2018, J FLOOD RISK MANAG, V11, pS986, DOI 10.1111/jfr3.12251
   Alves A, 2016, PROCEDIA ENGINEER, V154, P877, DOI 10.1016/j.proeng.2016.07.463
   [Anonymous], 2015, MAK DEV SUST FUT DIS
   [Anonymous], 2019, Helix Security Platform
   [Anonymous], 2014, MANAGING URBAN FLOOD
   [Anonymous], VAL INFR SPEND SUPPL
   [Anonymous], ENDCL PARK FLOOD STO
   [Anonymous], EU FLOODS DIR
   Balmforth D., 2006, DESIGNING EXCEEDANCE, P174
   Beevers L, 2016, CIV ENG ENVIRON SYST, V33, P199, DOI 10.1080/10286608.2016.1202931
   Brown RR, 2005, ENVIRON MANAGE, V36, P455, DOI 10.1007/s00267-004-0217-4
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Coles D, 2017, J HYDROL, V546, P419, DOI 10.1016/j.jhydrol.2016.12.013
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Dawson RJ, 2008, J HYDROINFORM, V10, P275, DOI 10.2166/hydro.2008.054
   De Urbanisten, 2012, WAT SQUAR BENTH
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Digman CJ, 2016, W045D CIRIA, P1
   Eusgeld I, 2011, RELIAB ENG SYST SAFE, V96, P679, DOI 10.1016/j.ress.2010.12.010
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Gersonius B., 2016, FLOOD RESILIENCE WAT, P1
   GHOFRANI Z, 2017, INT J ENV SUSTAINABI, V6, P1927
   Glenis V, 2018, ENVIRON MODELL SOFTW, V109, P272, DOI 10.1016/j.envsoft.2018.07.018
   Gonzva M, 2017, NAT HAZARDS, V86, P183, DOI 10.1007/s11069-016-2680-7
   Hall JW, 2003, NAT HAZARDS REV, V4, P126, DOI 10.1061/(ASCE)1527-6988(2003)4:3(126)
   Nguyen HQ, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101465
   Houston D., 2011, Pluvial (rain-related) flooding in urban areas: the invisible hazard
   Huang CL, 2015, WATER-SUI, V7, P5173, DOI 10.3390/w7095173
   Lawless K., 2016, East Pilgrim Street Development Framework"
   Lawson E., 2014, Flood Recovery, Innovation and Response IV, V184, P113, DOI [DOI 10.2495/FRIAR140101, 10.2495/FRIAR140101]
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P509, DOI 10.5194/nhess-10-509-2010
   Morgan M, 2017, P I CIVIL ENG WATER
   Morrison A, 2018, J FLOOD RISK MANAG, V11, P291, DOI 10.1111/jfr3.12315
   Newcastle City Council, 2019, DEV ALL PLAN 2015 20
   NKWUNONWO UC, 2017, J ENV STUDIES, V3, P1
   Pappalardo V, 2017, ECOSYST SERV, V26, P345, DOI 10.1016/j.ecoser.2017.04.015
   Pearson Jonathan, 2018, Environment Systems & Decisions, V38, P318, DOI 10.1007/s10669-018-9709-2
   Penning-Rowsell E., 2013, Flood and Coastal Erosion Risk Management, V2013th
   Pregnolato M., 2015, 12 INT C APPL STAT P, DOI [DOI 10.14288/1.0076217, 10.14288/1.0076217]
   Pregnolato M, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000372
   Sanders Brett F., 2017, Oxford Research Encyclopedia of Natural Hazard Science, DOI DOI 10.1093/ACREFORE/9780199389407.013.127
   Schuch G, 2017, LAND USE POLICY, V63, P539, DOI 10.1016/j.landusepol.2017.01.042
   Streets for People, 2019, ARTH HILL FENH
   Urban Flood Resilience Research Project, 2018, ACH URB FLOOD RES UN
   Vandermeulen V, 2011, LANDSCAPE URBAN PLAN, V103, P198, DOI 10.1016/j.landurbplan.2011.07.010
   Vercruysse K, 2019, J HYDROL, V578, DOI 10.1016/j.jhydrol.2019.124038
   Vercruysse K, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12535
   Wee B, 2019, D2DPROV VISION 2025
   Zevenbergen C, 2018, J FLOOD RISK MANAG, V11, pS17, DOI 10.1111/jfr3.12173
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
NR 52
TC 21
Z9 21
U1 10
U2 112
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD APR 3
PY 2020
VL 378
IS 2168
SI SI
AR 20190205
DI 10.1098/rsta.2019.0205
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA KO6JB
UT WOS:000515653700001
PM 32063162
OA Green Accepted, Green Published
DA 2025-04-22
ER

PT J
AU Barthel, S
   Folke, C
   Colding, J
AF Barthel, Stephan
   Folke, Carl
   Colding, Johan
TI Social-ecological memory in urban gardens-Retaining the capacity for
   management of ecosystem services
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Ecosystem services; Social and ecological memory; Resilience; Ecosystem
   management; Urban gardens; Community of practice
ID RESOURCE-MANAGEMENT; BIOLOGICAL-CONTROL; CONSERVATION; KNOWLEDGE;
   POLLINATORS; LANDSCAPES; DYNAMICS
AB Many ecosystem services are in decline. Local ecological knowledge and associated practice are essential to sustain and enhance ecosystem services on the ground. Here, we focus on social or collective memory in relation to management practice that sustains ecosystem services, and investigate where and how ecological practices, knowledge and experience are retained and transmitted. We analyze such social-ecological memory of allotment gardens in the Stockholm urban area, Sweden. Allotment gardens support ecosystem services such as pollination, seed dispersal and pest regulation in the broader urban landscape. Surveys and interviews were preformed over a four-year period with several hundreds of gardeners. We found that the allotment gardens function as communities-of-practice, where participation and reification interact and social-ecological memory is a shared source of resilience of the community by being both emergent and persistent. Ecological practices and knowledge in allotment gardens are retained and transmitted by imitation of practices, oral communication and collective rituals and habits, as well as by the physical gardens, artifacts, metaphors and rules-in-use (institutions). Finally, a wider social context provides external support through various forms of media, markets, social networks, collaborative organizations, and legal structures. We exemplify the role of urban gardens in generating ecosystem services in times of crisis and change and conclude that stewards of urban green areas and the social memory that they carry may help counteract further decline of critical ecosystem services. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Barthel, Stephan; Folke, Carl; Colding, Johan] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, SE-10405 Stockholm, Sweden.
   [Barthel, Stephan; Folke, Carl] Stockholm Univ, Dept Syst Ecol, SE-10691 Stockholm, Sweden.
   [Barthel, Stephan; Folke, Carl; Colding, Johan] Stockholm Univ, Stockholm Resilience Ctr, SE-10691 Stockholm, Sweden.
C3 Royal Swedish Academy of Sciences; Beijer Institute of Ecological
   Economics; Stockholm University; Stockholm University
RP Barthel, S (corresponding author), Swedish Acad Sci, Beijer Inst Ecol Econ, Box 50005, S-10405 Stockholm, Sweden.
EM stephan@ecology.su.se
RI Colding, Johan/AAB-7047-2019; Folke, Carl/Z-1545-2019; barthel,
   stephan/AAE-8367-2019
OI Folke, Carl/0000-0002-4050-3281; barthel, stephan/0000-0003-2637-2024;
   Colding, Johan/0000-0001-7644-7448
FU Swedish Research Council Formas
FX We would especially like to thank Carole Crumley and Francis Westley for
   pointing out directions of explorations into the human domain. We also
   thank The Swedish Research Council Formas for funding this research.
CR Agrawal A, 2002, INT SOC SCI J, V54, P287, DOI 10.1111/1468-2451.00382
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Alcorn J.B., 1998, LINKING SOCIAL ECOLO, P216
   Altieri M. A., 1999, Agriculture and Human Values, V16, P131, DOI 10.1023/A:1007545304561
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   [Anonymous], [No title captured]
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], [No title captured]
   [Anonymous], WAY WIND BLOWS CLIMA
   [Anonymous], 1996 ANN C AM GARD A
   [Anonymous], CULTURAL MEMORY BIOD
   [Anonymous], PANARCHY UNDERSTANDI
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Ballard HL, 2006, HUM ECOL, V34, P529, DOI 10.1007/s10745-006-9048-7
   Barthel S, 2005, ECOL SOC, V10
   Basset T, 1979, LANDSCAPE, V25, P1
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Berkes F., 2012, Sacred ecology: traditional ecological knowledge and resource management
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Berkes F, 2007, P NATL ACAD SCI USA, V104, P15188, DOI 10.1073/pnas.0702098104
   Berkes F, 2006, HUM ECOL, V34, P479, DOI 10.1007/s10745-006-9008-2
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Biesmeijer JC, 2006, SCIENCE, V313, P351, DOI 10.1126/science.1127863
   Bodin Ö, 2006, ECOL APPL, V16, P440, DOI 10.1890/1051-0761(2006)016[0440:TVOSSL]2.0.CO;2
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   BOURDIEU P, 1978, OUTLINE THEORY PRACT
   Buchmann S.L., 1996, FORGOTTEN POLLINATOR
   Carley Miachel., 2001, URBAN DEV CIVIL SOC
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carpenter SR, 2006, TRENDS ECOL EVOL, V21, P309, DOI 10.1016/j.tree.2006.02.007
   Climo JJ., 2002, Social Memory and History: Anthropological Perspectives
   Colding J, 2001, ECOL APPL, V11, P584
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Colding J, 2006, AMBIO, V35, P237, DOI 10.1579/05-A-098R.1
   Collins JP, 2000, AM SCI, V88, P416
   COSER LA, 1992, SOCIOL FORUM, V7, P365, DOI 10.1007/BF01125050
   Crona BI, 2006, ECOL SOC, V11
   Crouch D., 1988, The Allotment: Its Landscape and Culture
   Crumley L. Carole., 1994, Historical Ecology: Cultural Knowledge and Changing Landscapes
   CRUMLEY LC, 2002, SOCIAL MEMORY HIST A
   Davis A, 2003, HUM ECOL, V31, P463, DOI 10.1023/A:1025075923297
   Ellis JA, 2005, BIOL CONTROL, V34, P99, DOI 10.1016/j.biocontrol.2005.03.020
   FOLKE C, 2003, 2NAVIGATING SOCIAL E
   FRANZ JM, 1961, ANNU REV ENTOMOL, V6, P183, DOI 10.1146/annurev.en.06.010161.001151
   Freeman RE, 2001, LANDSCAPE URBAN PLAN, V56, P171, DOI 10.1016/S0169-2046(01)00181-5
   FYFE RN, 2005, URBAN GEOGRAPHY READ
   Gongaware TB, 2003, J CONTEMP ETHNOGR, V32, P483, DOI 10.1177/0891241603255674
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Greenleaf SS, 2007, OECOLOGIA, V153, P589, DOI 10.1007/s00442-007-0752-9
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   GUNN J.D., 1994, HIST ECOLOGY CULTURA
   Halbwachs M., 1950, COLLECTIVE MEMORY
   Hanna Susan., 1996, RIGHTS NATURE ECOLOG
   Harvey David., 1996, JUSTICE NATURE GEOGR
   *HC, 1998, 5 HOUS COMM UK PARL
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Hollis M., 2002, The Philosophy of Social Science
   Kaplan R., 1998, With people in mind: Design and management of everyday nature
   Kearns CA, 1998, ANNU REV ECOL SYST, V29, P83, DOI 10.1146/annurev.ecolsys.29.1.83
   KINZIG AP, 2001, ENCY BIODIVERSITY, V5, P733
   Klein AM, 2007, P ROY SOC B-BIOL SCI, V274, P303, DOI 10.1098/rspb.2006.3721
   KNIGHT J, 1997, J I THEORETICAL ECON, V253, P693
   Kvale S., 1997, KVALITATIVA FORSKNIN
   Lansing J.S., 1991, PRIESTS PROGRAMMERS
   Lawrence A, 2009, GLOBAL ENVIRON CHANG, V19, P173, DOI 10.1016/j.gloenvcha.2009.01.006
   Lee S, 2006, GEOJOURNAL, V66, P27, DOI 10.1007/s10708-006-9014-3
   Leonard D, 1998, CALIF MANAGE REV, V40, P112, DOI 10.2307/41165946
   LIGNELL C, 1995, SANKT ERIKS ARSBOK
   Lin N., 1999, Connections, V22, P28, DOI DOI 10.4324/9781315129457-1
   LUNDEVALL P, 1997, STADSBYGGNADSKONTORE
   Mahoney J, 2000, THEOR SOC, V29, P507, DOI 10.1023/A:1007113830879
   MARX K, 1987, COLLECTED WORKS 1859
   May Rachel, 2004, Urban Ecosystems, V7, P7, DOI 10.1023/B:UECO.0000020168.12869.45
   McDaniel Josh, 2005, Urban Ecosystems, V8, P23, DOI 10.1007/s11252-005-1417-2
   MCGOVERN, 1994, HIST ECOLOGY CULTURA
   McIntosh R.J., 2000, WAY WIND BLOWS CLIMA
   McKenna J, 2008, ECOL SOC, V13
   Middleton D., 1990, Collective remembering
   Miller JR, 2005, TRENDS ECOL EVOL, V20, P430, DOI 10.1016/j.tree.2005.05.013
   MISZTAL AB, 2003, THEORIES SOCIAL REME
   MOBERG M, 2003, ODLARNA BERGET SODRA
   Mols CMM, 2002, J APPL ECOL, V39, P888, DOI 10.1046/j.1365-2664.2002.00761.x
   Muchagata M., 2000, Agriculture and Human Values, V17, P371, DOI 10.1023/A:1026531913099
   MURDOCH J, 2006, POSTSTRUCTURALISM GE
   Nazarea VD, 2006, ANNU REV ANTHROPOL, V35, P317, DOI 10.1146/annurev.anthro.35.081705.123252
   NILSSON L, 2000, FRAMTIDA STOCKHOLM H
   Nolin C., 2003, Stadens odlare
   Norgaard R.B., 1994, Development betrayed: the end of progress and a co-evolutionary revisioning of the future
   NORTH DC, 1994, AM ECON REV, V84, P359
   North DC, 2005, PRINC ECON HIST W WO, P1
   Norton BG, 1997, ENVIRON ETHICS, V19, P227, DOI 10.5840/enviroethics199719313
   Olick JK, 1998, ANNU REV SOCIOL, V24, P105, DOI 10.1146/annurev.soc.24.1.105
   Olsson P, 2001, ECOSYSTEMS, V4, P85, DOI 10.1007/s100210000061
   ORTNER SB, 1984, COMP STUD SOC HIST, V26, P126, DOI 10.1017/S0010417500010811
   Osborne JL, 1999, J APPL ECOL, V36, P519, DOI 10.1046/j.1365-2664.1999.00428.x
   Ostrom E., 1990, Governing the Commons: The Evolution of Institutions for Collective Action
   Ostrom E., RIGHTS NATURE ECOLOG
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15176, DOI 10.1073/pnas.0701886104
   Patton M., 1990, Qualitative research and evaluation methods, V2
   Pilgrim S, 2007, ECOL APPL, V17, P1742, DOI 10.1890/06-1358.1
   Rosenzweig ML., 2003, WIN WIN ECOLOGY EART
   Rothstein Bo., 2005, Social traps and the problem of trust
   SCHACTER DL, 1995, MEMORY DISTORTION HI
   Scheffer M, 2007, ECOL SOC, V12
   Scott J.C, 2020, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   Sekercioglu ÇH, 2004, P NATL ACAD SCI USA, V101, P18042, DOI 10.1073/pnas.0408049101
   Smith EA, 2000, ANNU REV ANTHROPOL, V29, P493, DOI 10.1146/annurev.anthro.29.1.493
   Steffan-Dewenter I, 2005, TRENDS ECOL EVOL, V20, P651, DOI 10.1016/j.tree.2005.09.004
   STEIN EW, 1995, INT J INFORM MANAGE, V15, P17, DOI 10.1016/0268-4012(94)00003-C
   Theodori GL, 1998, RURAL SOCIOL, V63, P94, DOI 10.1111/j.1549-0831.1998.tb00666.x
   Wenger E., 1998, COMMUNITIES PRACTICE
   Wertsch V.James., 2002, VOICES COLLECTIVE RE
   2010, UGGLEUPPLAGAN, V13, P413
NR 113
TC 376
Z9 432
U1 8
U2 389
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD MAY
PY 2010
VL 20
IS 2
BP 255
EP 265
DI 10.1016/j.gloenvcha.2010.01.001
PG 11
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 603AX
UT WOS:000278181400007
DA 2025-04-22
ER

PT J
AU Schaefer, VH
AF Schaefer, Valentin Henry
TI Remembering our roots: A possible connection between loss of ecological
   memory, alien invasions and ecological restoration
SO URBAN ECOSYSTEMS
LA English
DT Article
ID BIODIVERSITY; RESILIENCE; LANDSCAPE; DYNAMICS
AB When a community or ecosystem is lost, some of its properties may remain, leaving behind an ecological memory. The soil properties, spores, seeds, stem fragments, mycorrhizae, species, populations and other remnants of the previous inhabitants contribute to shaping the replacement community and building a new ecosystem. The loss of ecological memory for the natural stability domain of a site reduces ecosystem resilience and enables alien invasive species to become established more easily. These invasives may eventually create a new ecosystem with its own ecological memory and resilience. These new ecosystems are described here as novel ecosystems and are placed in the context of adaptive cycles. Ecological restoration of urban ecosystems requires removing the ecological legacy of invasive alien species. To be successful, invasive species control must address both internal within patch memory of invasives and external between patch memory. The restoration of Garry oak ecosystems (Quercus gartyana), by students of the Restoration of Natural Systems Program at the University of Victoria, British Columbia, and a number of other examples are presented here that highlight why ecological memory is especially important in urban ecosystems.
RP Schaefer, VH (corresponding author), Univ Victoria, Sch Environm Studies, Victoria, BC V8W 2Y2, Canada.
EM schaefer@uvic.ca
FU University of Victoria
FX I would like to thank Eric Higgs, John Volpe and other faculty in the
   School of Environmental Studies at the University of Victoria for their
   insights. Funding for the restoration projects used as examples was
   obtained through the Restoration of Natural Systems Program at the
   University of Victoria.
CR Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Andersson E, 2006, ECOL SOC, V11
   Bengtsson J, 2003, AMBIO, V32, P389, DOI 10.1639/0044-7447(2003)032[0389:RRADL]2.0.CO;2
   Benowicz A, 2000, OECOLOGIA, V123, P168, DOI 10.1007/s004420051002
   Bossard C., 2000, Invasive Plants of California's Wildlands, P145
   BURTON C, 2006, GRASSES NO INTERIOR, P105
   CLAUSEN J, 1965, EVOLUTION, V19, P56, DOI 10.2307/2406295
   Cuddington K, 2007, THEOR ECOL SER, P1
   *GARR OAK EC REC T, 2004, GARR OAK EC REC TEAM
   *GARR OAK EC REC T, 2002, SCOTCH BROOM CYT SCO
   Gobster P. H., 2005, Ecological Restoration, V23, P261, DOI 10.3368/er.23.4.261
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hanski I, 1999, METAPOPULATION ECOLO
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   HUFF V, 2010, THESIS U VICTORIA
   Janssen MA, 2001, CONSERV ECOL, V5
   Kral R., 1993, Flora of North America North of Mexico, V2
   Laggoune S, 2008, CHEM NAT COMPD+, V44, P363, DOI 10.1007/s10600-008-9063-6
   Myers J.H., 2003, ECOLOGY CONTROL INTR
   MYERS N, 1993, AMBIO, V22, P74
   Naeem S, 2000, OIKOS, V91, P97, DOI 10.1034/j.1600-0706.2000.910108.x
   Nyström M, 2001, ECOSYSTEMS, V4, P406, DOI 10.1007/s10021-001-0019-y
   Peterson GD, 2002, ECOSYSTEMS, V5, P329, DOI 10.1007/s10021-001-0077-1
   Polis GA, 1997, ANNU REV ECOL SYST, V28, P289, DOI 10.1146/annurev.ecolsys.28.1.289
   Rudd H, 2002, RESTOR ECOL, V10, P368, DOI 10.1046/j.1526-100X.2002.02041.x
   SCHAEFER VH, 1999, ECOL RESTOR ECOL RES, V17, P250
   Temperton Vicky M., 2004, P34
   Turner MG, 1998, ECOSYSTEMS, V1, P511, DOI 10.1007/s100219900047
   Vitousek PM, 1997, NEW ZEAL J ECOL, V21, P1
   Walker B, 2006, ECOL SOC, V11
   Weiher Evan, 1999, P251, DOI 10.1017/CBO9780511542237.010
   Wu JG, 1995, Q REV BIOL, V70, P439, DOI 10.1086/419172
NR 33
TC 19
Z9 23
U1 0
U2 78
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD MAR
PY 2011
VL 14
IS 1
BP 35
EP 44
DI 10.1007/s11252-010-0138-3
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA 755LG
UT WOS:000289932100003
DA 2025-04-22
ER

PT J
AU Liu, KZ
   Zhai, CH
   Dong, Y
   Meng, XH
AF Liu, Kezhi
   Zhai, Changhai
   Dong, You
   Meng, Xianghai
TI Post-Earthquake Functionality Assessment of Urban Road Network
   Considering Emergency Response
SO JOURNAL OF EARTHQUAKE ENGINEERING
LA English
DT Article
DE Road network; emergency response; network functionality; earthquake
   engineering; accessibility; decision making
ID SEISMIC FRAGILITY CURVES; TRANSPORTATION NETWORK; RESILIENCE ASSESSMENT;
   COMMUNITY RESILIENCE; EARTHQUAKE; RISK; PERFORMANCE; BUILDINGS; SYSTEM;
   DAMAGE
AB As one of the most important urban infrastructure systems, the road network plays a vital role in post-earthquake emergency response. Quantitative evaluation of the emergency response functionality of road network under earthquakes can provide decision support for emergency planning and future construction. In this paper, a novel network performance metric is proposed to consider both the special traffic demand in emergency response and the supply capability of road network. On this basis, an integrated probabilistic assessment framework for post-earthquake network emergency response functionality is presented, considering various uncertainties. In the framework, a penalty-based approach is proposed to consider the impact of partially degraded links on network functionality. At last, the proposed methodology is illustrated on the road network of Tangshan city, China, under different seismic scenarios.
C1 [Liu, Kezhi; Zhai, Changhai] Harbin Inst Technol, Sch Civil Engn, Harbin, Peoples R China.
   [Dong, You] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China.
   [Meng, Xianghai] Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin, Peoples R China.
C3 Harbin Institute of Technology; Hong Kong Polytechnic University; Harbin
   Institute of Technology
RP Zhai, CH (corresponding author), Harbin Inst Technol, Sch Civil Engn, Harbin, Peoples R China.
EM zch-hit@hit.edu.cn
RI Liu, Guijian/M-9597-2014; Wang, Xinyue/KLZ-4064-2024
FU National Natural Science Foundation of China [51938004, 51825801,
   U1939210, 51921006]; Heilongjiang Postdoctoral Science Foundation
   [LBH-Z16085]; Natural Science Foundation of Heilongjiang Province
   [LH2019G006]
FX This work was supported by the National Natural Science Foundation of
   China (No. 51938004, 51825801, U1939210, and 51921006), Heilongjiang
   Postdoctoral Science Foundation (No. LBH-Z16085), and Natural Science
   Foundation of Heilongjiang Province (No. LH2019G006). These supports are
   greatly appreciated.
CR Adachi T, 2009, COMPUT-AIDED CIV INF, V24, P237, DOI 10.1111/j.1467-8667.2008.00583.x
   Al Mamun A, 2017, CAN J CIVIL ENG, V44, P558, DOI 10.1139/cjce-2016-0388
   Alipour A, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001399
   [Anonymous], 2005, INTERDEPENDENT RESPO
   [Anonymous], 2012, Hazus-MH 2.1 Technical Manual
   Argyroudis S, 2015, COMPUT-AIDED CIV INF, V30, P524, DOI 10.1111/mice.12136
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Boakye J, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108184
   Bocchini P, 2012, EARTHQ SPECTRA, V28, P427, DOI 10.1193/1.4000019
   Campbell KW, 2008, EARTHQ SPECTRA, V24, P139, DOI 10.1193/1.2857546
   Chang L., 2010, Transportations Systems Modeling and Applications in Earthquake Engineering
   Chang L, 2012, J INFRASTRUCT SYST, V18, P75, DOI 10.1061/(ASCE)IS.1943-555X.0000082
   Chang S. E., 2000, EARTHQ SPECTRA, V16, P557, DOI [10.1193/1.1586127, DOI 10.1193/1.1586127]
   Chang SE, 2001, TRANSPORT RES A-POL, V35, P475, DOI 10.1016/S0965-8564(00)00003-3
   Chen A, 2007, NETW SPAT ECON, V7, P241, DOI 10.1007/s11067-006-9012-5
   [陈力波 Chen Libo], 2012, [西南交通大学学报, Journal of Southwest Jiaotong University], V47, P558
   Chen MD, 2021, ENG STRUCT, V237, DOI 10.1016/j.engstruct.2021.112212
   Cho J, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11073226
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Chu JC, 2016, J INFRASTRUCT SYST, V22, DOI 10.1061/(ASCE)IS.1943-555X.0000264
   Cimellaro GP, 2021, J EARTHQ ENG, V25, P703, DOI 10.1080/13632469.2018.1531090
   Cimellaro GP, 2011, EURODYN, P370
   Crowley H, 2006, B EARTHQ ENG, V4, P249, DOI 10.1007/s10518-006-9009-y
   Dijkstra E., 1959, NUMER MATH, V1, P269, DOI [10.1007/BF01386390, DOI 10.1007/BF01386390]
   Dong Y, 2017, STRUCT INFRASTRUCT E, V13, P160, DOI 10.1080/15732479.2016.1198399
   Dong Y, 2014, J EARTHQ ENG, V18, P41, DOI 10.1080/13632469.2013.841600
   Feng KR, 2020, STRUCT INFRASTRUCT E, V16, P1578, DOI 10.1080/15732479.2020.1713170
   FLOYD RW, 1962, COMMUN ACM, V5, P345, DOI 10.1145/367766.368168
   Foster Sesshu, 2009, World Ball Notebook
   Franchin P, 2006, J EARTHQ ENG, V10, P195, DOI 10.1142/S1363246906002554
   Frangopol DM, 2012, STRUCT INFRASTRUCT E, V8, P341, DOI 10.1080/15732479.2011.563089
   Gardoni P, 2003, J EARTHQ ENG, V7, P79, DOI 10.1080/13632460309350474
   Giovinazzi S., 2010, 14 EUR C EARTHQ ENG, P933
   Gonçalves LAPJ, 2020, J TRANSP GEOGR, V85, DOI 10.1016/j.jtrangeo.2020.102727
   Goretti A, 2006, B EARTHQ ENG, V4, P159, DOI 10.1007/s10518-006-9004-3
   Günneç D, 2011, OR SPECTRUM, V33, P499, DOI 10.1007/s00291-011-0250-7
   Guidotti R, 2017, STRUCT SAF, V65, P12, DOI 10.1016/j.strusafe.2016.12.001
   Guo AX, 2017, STRUCT INFRASTRUCT E, V13, P1523, DOI 10.1080/15732479.2017.1299770
   Hsieh CH, 2020, TRANSPORT POLICY, V87, P1, DOI 10.1016/j.tranpol.2018.08.010
   Hu Y., 1986, CHINA CIVIL ENG J, V19, P3, DOI [10.15951/j.tmgcxb.1986.03.001, DOI 10.15951/J.TMGCXB.1986.03.001]
   Hyndman RJ, 1996, AM STAT, V50, P361, DOI 10.2307/2684934
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Jayaram N, 2010, EARTHQ ENG STRUCT D, V39, P1109, DOI 10.1002/eqe.988
   Jayaram N, 2009, EARTHQ ENG STRUCT D, V38, P1687, DOI 10.1002/eqe.922
   Jenelius E, 2009, J TRANSP GEOGR, V17, P234, DOI 10.1016/j.jtrangeo.2008.06.002
   Karamlou A, 2016, ENG STRUCT, V117, P591, DOI 10.1016/j.engstruct.2016.03.038
   Kawashima K, 2012, J Jpn Assoc Earthq Eng, V12, P4319
   Khademi N, 2015, INT J DISAST RISK RE, V12, P234, DOI 10.1016/j.ijdrr.2015.01.009
   Kilanitis I, 2019, B EARTHQ ENG, V17, P181, DOI 10.1007/s10518-018-0457-y
   Kurauchi F, 2009, TRANSPORTATION AND TRAFFIC THEORY 2009: GOLDEN JUBILEE, P637, DOI 10.1007/978-1-4419-0820-9_31
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Lee Renee., 2007, Uncertainty and Correlation in Seismic Risk Assessment of Transportation Systems
   Liu KZ, 2021, STRUCT INFRASTRUCT E, V17, P1141, DOI 10.1080/15732479.2020.1801764
   Liu L, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000516
   Liu L, 2018, J BRIDGE ENG, V23, DOI 10.1061/(ASCE)BE.1943-5592.0001296
   Liu M, 2006, J BRIDGE ENG, V11, P633, DOI 10.1061/(ASCE)1084-0702(2006)11:5(633)
   Lu J, 2018, EUR J OPER RES, V265, P277, DOI 10.1016/j.ejor.2017.07.025
   Mander J.B., 1999, FRAGILITY CURVE DEV
   Murachi Y, 2003, P SOC PHOTO-OPT INS, V5057, P655, DOI 10.1117/12.508501
   Murray-Tuite PM, 2004, TRANSPORT RES REC, P88, DOI 10.3141/1882-11
   National Research Council (NRC), 2011, NAT EARTHQ RES RES I
   Nielson BG, 2007, EARTHQ SPECTRA, V23, P615, DOI 10.1193/1.2756815
   NIST, 2015, SYSTEMS IROS2015, DOI https://doi.org/10.6028/NIST.SP.1190v1
   Okabe A, 2008, INT J GEOGR INF SCI, V22, P965, DOI 10.1080/13658810701587891
   Omer Mayada, 2013, International Journal of Industrial and Systems Engineering, V13, P389
   Osei-Asamoah A, 2014, TRANSPORT RES REC, P120, DOI 10.3141/2467-13
   Rohr A, 2020, INFRASTRUCTURES-BASE, V5, DOI 10.3390/infrastructures5110099
   Rokneddin K, 2013, STRUCT INFRASTRUCT E, V9, P1050, DOI 10.1080/15732479.2011.654230
   Sakuraba CS, 2016, ELECT NOTES DISCRETE, V52, P317, DOI [10.1016/j.endm.2016.03.042, DOI 10.1016/J.ENDM.2016.03.042]
   Schanack F, 2012, EARTHQ SPECTRA, V28, P301, DOI 10.1193/1.3672424
   Sextos A., 2017, SEISMIC RESILIENCE A
   Snelder M, 2012, TRANSPORT RES A-POL, V46, P828, DOI 10.1016/j.tra.2012.02.007
   Sohn J, 2006, TRANSPORT RES A-POL, V40, P491, DOI 10.1016/j.tra.2005.08.006
   Stearns M, 2012, J PERFORM CONSTR FAC, V26, P441, DOI 10.1061/(ASCE)CF.1943-5509.0000213
   Su GW, 2015, REMOTE SENS-BASEL, V7, P2543, DOI 10.3390/rs70302543
   Sullivan JL, 2010, TRANSPORT RES A-POL, V44, P323, DOI 10.1016/j.tra.2010.02.003
   Tak H, 2019, SYSTEM LEVEL SEISMIC
   Tamima U, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000392
   Tantala MW, 2008, SOIL DYN EARTHQ ENG, V28, P812, DOI 10.1016/j.soildyn.2007.10.012
   Taylor MAP, 2012, TRANSPORT RES A-POL, V46, P761, DOI 10.1016/j.tra.2012.02.008
   Toma-Danila D, 2020, NAT HAZARD EARTH SYS, V20, P1421, DOI 10.5194/nhess-20-1421-2020
   Twumasi-Boakye R, 2018, TRANSPORT RES REC, V2672, P103, DOI 10.1177/0361198118793520
   Twumasi-Boakye R, 2018, J TRANSP ENG A-SYST, V144, DOI 10.1061/JTEPBS.0000186
   Vaziri P, 2012, J EARTHQ ENG, V16, P296, DOI 10.1080/13632469.2011.597486
   Wang M, 2005, EARTHQ SPECTRA, V21, P1137, DOI 10.1193/1.2083887
   Wang ZQ, 2020, SUSTAIN RESIL INFRAS, V5, P349, DOI 10.1080/23789689.2019.1598756
   Xu Z, 2016, NAT HAZARDS, V80, P935, DOI 10.1007/s11069-015-2005-2
   Yin Zhonggang, 2010, Electric Power Automation Equipment, V30, P36
   Yu YC, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108220
   Zanini MA, 2017, STRUCT INFRASTRUCT E, V13, P1117, DOI 10.1080/15732479.2016.1244211
   Zhang HL, 2015, J COMB OPTIM, V29, P511, DOI 10.1007/s10878-014-9766-5
   Zhang WL, 2017, STRUCT INFRASTRUCT E, V13, P1404, DOI 10.1080/15732479.2016.1271813
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
NR 94
TC 13
Z9 15
U1 25
U2 114
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1363-2469
EI 1559-808X
J9 J EARTHQ ENG
JI J. Earthqu. Eng.
PD JUL 4
PY 2023
VL 27
IS 9
BP 2406
EP 2431
DI 10.1080/13632469.2022.2113001
EA AUG 2022
PG 26
WC Engineering, Civil; Engineering, Geological; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA I1UO6
UT WOS:000844121600001
DA 2025-04-22
ER

PT J
AU Chandrasekhar, JL
   Bowen, AE
   Heberlein, E
   Pyle, E
   Studts, CR
   Simon, SL
   Shomaker, L
   Kaar, JL
AF Chandrasekhar, Jessica L.
   Bowen, Anne E.
   Heberlein, Erin
   Pyle, Emily
   Studts, Christina R.
   Simon, Stacey L.
   Shomaker, Lauren
   Kaar, Jill L.
TI Universal, School-Based Mental Health Program Implemented Among Racially
   and Ethnically Diverse Youth Yields Equitable Outcomes: Building
   Resilience for Healthy Kids
SO COMMUNITY MENTAL HEALTH JOURNAL
LA English
DT Article
DE Adolescence; School; Coaching; Resilience; Equity
ID SUICIDAL IDEATION; SOCIAL SUPPORT; UNITED-STATES; ADOLESCENTS; BEHAVIOR;
   METAANALYSIS; SYMPTOMS; ANXIETY; DISCRIMINATION; INTERVENTIONS
AB Although suicide is a leading cause of mortality among racial and ethnic minority youth, limited data exists regarding the impact of school-based mental health interventions on these populations, specifically. A single-arm pragmatic trial design was utilized to evaluate the equity of outcomes of the universal, school-based mental health coaching intervention, Building Resilience for Healthy Kids. All sixth-grade students at an urban middle school were invited to participate. Students attended six weekly sessions with a health coach discussing goal setting and other resilience strategies. 285 students (86%) participated with 252 (88%) completing both pre- and post-intervention surveys. Students were a mean age of 11.4 years with 55% identifying as girls, 69% as White, 13% as a racial minority, and 18% as Hispanic. Racial minority students exhibited greater improvements in personal and total resilience compared to White students, controlling for baseline scores.
C1 [Chandrasekhar, Jessica L.; Studts, Christina R.; Simon, Stacey L.; Shomaker, Lauren; Kaar, Jill L.] Univ Colorado Sch Med, Dept Pediat, Div Endocrinol, Aurora, CO 80045 USA.
   [Bowen, Anne E.; Shomaker, Lauren] Childrens Hosp Colorado, Aurora, CO USA.
   [Heberlein, Erin; Pyle, Emily] Childrens Hosp Colorado Colorado Springs, Colorado Springs, CO USA.
   [Shomaker, Lauren] Colorado State Univ, Dept Human Dev, Family Studies, Ft Collins, CO USA.
C3 University of Colorado System; University of Colorado Anschutz Medical
   Campus; Children's Hospital Colorado; Children's Hospital Colorado;
   Colorado State University System; Colorado State University Fort Collins
RP Kaar, JL (corresponding author), Univ Colorado Sch Med, Dept Pediat, Div Endocrinol, Aurora, CO 80045 USA.
EM jill.kaar@cuanschutz.edu
RI Kaar, Jill/K-8121-2019; Simon, Stacey/G-9882-2016; Bowen,
   Anne/HSI-4491-2023
OI Bowen, Anne/0009-0004-5920-884X
CR Alegria M, 2010, CHILD ADOL PSYCH CL, V19, P759, DOI 10.1016/j.chc.2010.07.001
   Almeida J, 2009, J YOUTH ADOLESCENCE, V38, P1001, DOI 10.1007/s10964-009-9397-9
   [Anonymous], KEY CONCEPTS RESILIE
   [Anonymous], WEB BASED FATAL INJU
   Bridge JA, 2015, JAMA PEDIATR, V169, P673, DOI 10.1001/jamapediatrics.2015.0465
   Burke TA, 2016, J ABNORM CHILD PSYCH, V44, P1145, DOI 10.1007/s10802-015-0104-x
   Cha CB, 2018, J CHILD PSYCHOL PSYC, V59, P460, DOI 10.1111/jcpp.12831
   Chu PS, 2010, J SOC CLIN PSYCHOL, V29, P624, DOI 10.1521/jscp.2010.29.6.624
   Cohen J., 1988, STAT POWER ANAL BEHA, P20
   Costello EJ, 2014, PSYCHIAT SERV, V65, P359, DOI 10.1176/appi.ps.201100518
   Dray J, 2017, J AM ACAD CHILD PSY, V56, P813, DOI 10.1016/j.jaac.2017.07.780
   Duckworth AL, 2007, J PERS SOC PSYCHOL, V92, P1087, DOI 10.1037/0022-3514.92.6.1087
   Felver J.C., 2018, International Journal of School Educational Psychology, DOI DOI 10.1080/21683603.2018.1461722
   Gallagher M, 2014, J ABNORM CHILD PSYCH, V42, P871, DOI 10.1007/s10802-013-9844-7
   Geoffroy MC, 2016, J AM ACAD CHILD PSY, V55, P99, DOI 10.1016/j.jaac.2015.11.010
   Ginsburg KennethR., 2011, Building Resilience in Children and Teens: Giving Kids Roots and Wings, V2nd
   Hatzenbuehler ML, 2011, PEDIATRICS, V127, P896, DOI 10.1542/peds.2010-3020
   Healthy Kids Colorado Survey, 2019, MENTAL HLTH
   Hornor G, 2017, J PEDIATR HEALTH CAR, V31, P384, DOI 10.1016/j.pedhc.2016.09.005
   Ijadi-Maghsoodi Roya, 2017, Contemp Sch Psychol, V21, P223
   Irwin DE, 2010, QUAL LIFE RES, V19, P595, DOI 10.1007/s11136-010-9619-3
   Ivey-Stephenson AZ, 2020, MMWR-MORBID MORTAL W, V69, P47, DOI 10.15585/mmwr.su6901a6
   Jefferies P, 2019, J EVID-BASED SOC WOR, V16, P70, DOI 10.1080/23761407.2018.1548403
   Kuperminc GP, 2020, AM J COMMUN PSYCHOL, V65, P136, DOI 10.1002/ajcp.12347
   Lee CS, 2020, CULT DIVERS ETHN MIN, V26, P532, DOI 10.1037/cdp0000326
   Lee JA, 2021, AM J HEALTH PROMOT, V35, P344, DOI 10.1177/0890117120959152
   Lee TY, 2012, SCI WORLD J, DOI 10.1100/2012/390450
   Lindsey M, 2019, PEDIATRICS, V144, DOI 10.1542/peds.2019-1187
   Luthar SS, 2000, DEV PSYCHOPATHOL, V12, P857, DOI 10.1017/S0954579400004156
   Muris P, 2002, PERS INDIV DIFFER, V32, P337, DOI 10.1016/S0191-8869(01)00027-7
   Nock MK, 2013, JAMA PSYCHIAT, V70, P300, DOI 10.1001/2013.jamapsychiatry.55
   Pumariega AJ, 2005, COMMUNITY MENT HLT J, V41, P539, DOI 10.1007/s10597-005-6360-4
   Randell B.P., 2006, J CHILD FAMILY STUDI, V15, P247, DOI [DOI 10.1007/S10826-006-9020-6, 10.1007/s10826-006-9020-6, https://doi.org/10.1007/s10826-006-9020-6]
   Scott SM, 2015, CLIN CHILD FAM PSYCH, V18, P346, DOI 10.1007/s10567-015-0188-4
   Séguin M, 2011, J PSYCHIATR RES, V45, P863, DOI 10.1016/j.jpsychires.2011.05.005
   Seligman MEP, 2009, OXFORD REV EDUC, V35, P293, DOI 10.1080/03054980902934563
   Sellers RM, 2006, J RES ADOLESCENCE, V16, P187, DOI 10.1111/j.1532-7795.2006.00128.x
   Silva C, 2018, CURR OPIN PSYCHOL, V22, P44, DOI 10.1016/j.copsyc.2017.07.013
   Soto-Sanz V, 2019, PSICOTHEMA, V31, P246, DOI 10.7334/psicothema2018.339
   Sun JD, 2011, J PSYCHOEDUC ASSESS, V29, P534, DOI 10.1177/0734282910394976
   Van Dam L, 2018, AM J COMMUN PSYCHOL, V62, P203, DOI 10.1002/ajcp.12248
   Weisz JR, 2005, AM PSYCHOL, V60, P628, DOI 10.1037/0003-066X.60.6.628
   Wexler L, 2016, INT Q COMMUNITY HEAL, V36, P115, DOI 10.1177/0272684X16630886
   Winsper C, 2012, J AM ACAD CHILD PSY, V51, P271, DOI 10.1016/j.jaac.2012.01.001
   Xu M, 2020, AGGRESS VIOLENT BEH, V50, DOI 10.1016/j.avb.2019.101340
   Zygo M, 2019, ANN AGR ENV MED, V26, P329, DOI 10.26444/aaem/93817
NR 46
TC 5
Z9 5
U1 2
U2 7
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0010-3853
EI 1573-2789
J9 COMMUNITY MENT HLT J
JI Community Ment. Health J.
PD AUG
PY 2023
VL 59
IS 6
BP 1109
EP 1117
DI 10.1007/s10597-023-01090-5
EA FEB 2023
PG 9
WC Health Policy & Services; Public, Environmental & Occupational Health;
   Psychiatry
WE Social Science Citation Index (SSCI)
SC Health Care Sciences & Services; Public, Environmental & Occupational
   Health; Psychiatry
GA J5RR7
UT WOS:000931760200001
PM 36757609
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Osman, T
   Kenawy, E
   Abdrabo, KI
   Shaw, D
   Alshamndy, A
   Elsharif, M
   Salem, M
   Alwetaishi, M
   Aly, RM
   Elboshy, B
AF Osman, Taher
   Kenawy, Emad
   Abdrabo, Karim I.
   Shaw, David
   Alshamndy, Aref
   Elsharif, Mohamed
   Salem, Muhammad
   Alwetaishi, Mamdooh
   Aly, Reda M.
   Elboshy, Bahaa
TI Voluntary Local Review Framework to Monitor and Evaluate the Progress
   towards Achieving Sustainable Development Goals at a City Level:
   Buraidah City, KSA and SDG11 as A Case Study
SO SUSTAINABILITY
LA English
DT Article
DE Voluntary Local Review (VLR); Sustainable Development Goals (SDGs);
   SDG11; Urban Observatory; monitoring framework; localization
ID AGENDA
AB Around the world, cities are on the front lines of sustainable development. They are responsible for more than 70% of global carbon emissions. Many of these cities are experiencing dangerous levels of pollution, underemployment, and health disparities. Since 2015, 193 countries have endorsed the 17 Sustainable Development Goals (SDGs), intended to help address a wide range of challenges affecting cities and ultimately secure the resources for their next generations. All states are expected to present the national progress towards the SDGs through a Voluntary National Review (VNR). Despite the importance of the cities within this framework, only a handful of them worldwide have actively begun to review and assess progress towards these SDGs on a city scale. This paper seeks to develop a Voluntary Local Review (VLR) framework to assess and evaluate the progress of cities towards contributing to the SDGs. This framework has been developed by localizing the international and national frameworks to measure the performance of cities as they advance towards achieving the SDGs. Such a framework can serve as a tool for benchmarking progress on different aspects of sustainable development and help urban planners and policymakers prioritize policies and actions to improve urban quality of life. This framework is applied to monitor and evaluate the progress of the city of Buraidah in Saudi Arabia, as it strives towards achieving the targets of SDG11 ("Make cities and human settlements inclusive, safe, resilient and sustainable").
C1 [Osman, Taher; Kenawy, Emad; Abdrabo, Karim I.; Salem, Muhammad] Cairo Univ, Fac Urban & Reg Planning, Giza 12613, Egypt.
   [Kenawy, Emad; Shaw, David] Univ Liverpool, Dept Geog & Planning, Liverpool L69 7ZT, Merseyside, England.
   [Abdrabo, Karim I.] Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto 6158245, Japan.
   [Alshamndy, Aref; Elsharif, Mohamed] Urban Observ Buraidah, Buraydah 52382, Saudi Arabia.
   [Salem, Muhammad] Kyushu Univ, Grad Sch Human Environm Studies, Fukuoka 8190395, Japan.
   [Alwetaishi, Mamdooh; Aly, Reda M.] Taif Univ, Coll Engn, Dept Civil Engn, POB 11099, At Taif 21944, Saudi Arabia.
   [Elboshy, Bahaa] Tanta Univ, Fac Engn, Dept Architectural Engn, Tanta 31511, Egypt.
C3 Egyptian Knowledge Bank (EKB); Cairo University; University of
   Liverpool; Kyoto University; Kyushu University; Taif University;
   Egyptian Knowledge Bank (EKB); Tanta University
RP Osman, T (corresponding author), Cairo Univ, Fac Urban & Reg Planning, Giza 12613, Egypt.
EM taher@kyudai.jp; E.kenawy@liverpool.ac.uk; m.karim.ibrahim@cu.edu.eg;
   David.Shaw@liverpool.ac.uk; aref_attia@yahoo.com; Mub83@hotmail.com;
   m.salem@kyudai.jp; m.alwetaishi@tu.edu.sa; rmaly@tu.edu.sa;
   bahaa.elboshi@f-eng.tanta.edu.eg
RI Elboshy, Bahaa/J-9706-2019; abdrabo, karim/AAL-6139-2020; Aly,
   Reda/HMW-1575-2023; Osman, Taher/B-4976-2018; alwetaishi,
   mamdooh/M-1322-2016; Salem, Muhammad/AAZ-9798-2020
OI Osman, Taher/0000-0001-9349-5249; Elboshy, Bahaa/0000-0003-1093-7174;
   alwetaishi, mamdooh/0000-0001-5053-4324; Salem,
   Muhammad/0000-0003-1192-4412; abdrabo, karim/0000-0002-8696-1616
FU Taif University, Researchers Supporting Project [TURSP-2020/196]
FX This research was funded by Taif University, Researchers Supporting
   Project grant number (TURSP-2020/196).
CR Abd El Karim A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041412
   Abdrabo KI, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105360
   Abdrabo KI, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213548
   Al-Madhian A.A., 2021, DETERMINE HOUSING NE
   Alharthi S., 2019, WIT Transactions on Ecology and the Environment, V238, P455
   Alsharif F. E., 2021, PalArch's Journal of Archaeology ofEgypt/Egyptology, V18, P1052
   Alshuwaikhat HM, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030408
   Amran YHA, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119602
   [Anonymous], 2019, Handbook for preparation of Voluntary National Reviews: the 2020 edition
   Assembly U.G.,, 2017, WORK STAT COMMISSION
   Bernstein J., 2018, DRAWING GOOD SUSTAIN
   Bibri SE, 2018, SUSTAIN CITIES SOC, V38, P758, DOI 10.1016/j.scs.2017.12.032
   Boto-Alvarez A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062546
   Elsharif M., 2018, LOCAL VOLUNTARY REPO
   Garau C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030575
   Huovila, 2017, CITY KEYS INDICATORS
   Kawakubo Shun, 2020, IOP Conference Series: Earth and Environmental Science, V588, DOI 10.1088/1755-1315/588/2/022019
   Kingdom of Saudi Arabia, 2016, COUNC EC DEV AFF CED
   Koop SHA, 2017, ENVIRON DEV SUSTAIN, V19, P385, DOI 10.1007/s10668-016-9760-4
   Macleod A., 2019, BRISTOL SDGS VOLUNTA
   Mejía-Dugand S, 2020, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.598516
   Mitchell B., 2018, Journal of Education and Development, V2, P36, DOI [10.20849/jed.v2i3.526, DOI 10.20849/JED.V2I3.526]
   Moallemi EA, 2020, ONE EARTH, V3, P300, DOI 10.1016/j.oneear.2020.08.006
   National Research Council, 1996, UNDERSTANDING RISK I
   Nordic Council of Ministers, 2018, SECR HARV BOLD SOL 1
   NRC U, 1983, RISK ASS FED GOV MAN, V11
   OECD, 2017, ORG EC COOP DEV STAF
   Okitasari M., 2019, Governance and National Implementation of the 2030 Agenda: Lessons from Voluntary National Reviews
   Oosterhof P. D., 2018, LOCALISING SUSTAINAB
   Patole M, 2018, ECONOMIES, V6, DOI 10.3390/economies6010015
   Pineda-Escobar MA, 2019, CORP GOV-INT J BUS S, V19, P176, DOI 10.1108/CG-11-2017-0268
   Saber M, 2020, GEOSCIENCES, V10, DOI 10.3390/geosciences10010024
   Sachs J., 2020, Speaking truth to power about the SDGs
   Sachs JD, 2019, NAT SUSTAIN, V2, P805, DOI 10.1038/s41893-019-0352-9
   Schmidt-Traub G., 2015, Investment Needs to Achieve the Sustainable Development Goals: Understanding the Billions and Trillions
   Schmidt-Traub G, 2017, NAT GEOSCI, V10, P547, DOI 10.1038/NGEO2985
   UN Habitat, 2016, MEAS CIT PROSP METH
   Un Habitat, 2018, HAB TRACK PROGR INCL
   Un Habitat, 2018, MOMR UN HAB COMPR UR
   Un Habitat, 2019, FUT SAUD CIT PROGR C, P146
   Un Habitat, 2016, SDG GOAL 11 MON FRAM
   UPTON AC, 1994, ENVIRON HEALTH PERSP, V102, P908, DOI 10.2307/3431907
   Valencia SC, 2019, INT J URBAN SUSTAIN, V11, P4, DOI 10.1080/19463138.2019.1573172
   Wanjiku S. M., 2020, PALGRAVE HDB AGR RUR, P17, DOI 10.1007/978-3-030-41513-6_2
   World Bank, 2018, WORLD BANK ATL SUST
NR 45
TC 20
Z9 20
U1 4
U2 44
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2021
VL 13
IS 17
AR 9555
DI 10.3390/su13179555
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA UO2ZW
UT WOS:000694568800001
OA gold
DA 2025-04-22
ER

PT J
AU Salim, MZ
   Al Kafy, A
   Altuwaijri, HA
   Miah, MT
   Jodder, PK
   Rahaman, ZA
AF Salim, Md Zakaria
   Al Kafy, Abdulla
   Altuwaijri, Hamad Ahmed
   Miah, Md Tanvir
   Jodder, Pankaj Kanti
   Rahaman, Zullyadini A.
TI Quantitative assessment of Hurricane Ian's damage on urban vegetation
   dynamics utilizing Landsat 9 in Fort Myers, Florida
SO PHYSICS AND CHEMISTRY OF THE EARTH
LA English
DT Article
DE Hurricane ian; Vegetation impact; Urban resilience; Vegetation dynamics;
   Damage assessment and remote sensing
ID FOREST; INDEX
AB Florida's unique climatic and geographical features have profoundly influenced its hurricane history. This study quantitatively examines the effects of Hurricane Ian on urban vegetation in Fort Myers, Florida, using remote sensing data. We analyzed pre- and post-hurricane vegetation indices, including NDVI (Normalized Difference Vegetation Index), ARVI (Atmospherically Resistant Vegetation Index), and SAVI (Soil-Adjusted Vegetation Index). Our findings reveal varied spatial impacts, with NDVI changes ranging from -0.03 to 0.333, ARVI changes from -0.016 to 0.25, and SAVI changes from -0.04 to 0.5. Negative values indicate vegetation damage, while positive values suggest resilience or recovery. The study area experienced a 63.75% reduction in vegetation cover, from 67.10 km(2) before Hurricane Ian to 24.325 km(2) after. Pre-hurricane NDVI ranged from -0.2298 to 0.5663, while post-hurricane values ranged from -0.189 to 0.521, indicating overall vegetation stress. ARVI maxima decreased from 0.379 to 0.352, and SAVI maxima from 0.849 to 0.782, further confirming vegetation damage. Support Vector Machine classification achieved 89% accuracy (Kappa = 0.85) for prehurricane and 87% (Kappa = 0.83) for post-hurricane vegetation mapping. These findings enhance our understanding of hurricane impacts on urban green infrastructure, with significant implications for urban planning and disaster preparedness in coastal cities prone to extreme weather events. The outcomes enhance damage assessment methodologies and provide valuable insights into the ecological consequences of hurricanes on urban ecosystems.
C1 [Salim, Md Zakaria] Univ S Florida, Sch Geosci, Tampa, FL USA.
   [Al Kafy, Abdulla] Univ Texas Austin, Univ Stn 1 A3100, Dept Geog & Environm, Austin, TX 78712 USA.
   [Altuwaijri, Hamad Ahmed] King Saud Univ, Coll Humanities & Social Sci, Dept Geog, Riyadh 11451, Saudi Arabia.
   [Miah, Md Tanvir; Jodder, Pankaj Kanti] Khulna Univ, Urban & Rural Planning Discipline, Khulna 9208, Bangladesh.
   [Jodder, Pankaj Kanti] Univ North Carolina Charlotte, 9201 Univ City Blvd, Charlotte, NC 28223 USA.
   [Rahaman, Zullyadini A.] Sultan Idris Educ Univ, Fac Human Sci, Dept Geog & Environm, Tanjung Malim 35900, Malaysia.
C3 State University System of Florida; University of South Florida;
   University of Texas System; University of Texas Austin; King Saud
   University; Khulna University; University of North Carolina; University
   of North Carolina Charlotte; Universiti Pendidikan Sultan Idris
RP Al Kafy, A (corresponding author), Univ Texas Austin, Univ Stn 1 A3100, Dept Geog & Environm, Austin, TX 78712 USA.
EM mdzakariasalim@usf.edu; abdulla-al.kafy@localpathways.org;
   haaltuwaijri@ksu.edu.sa; tanvir180417@gmail.com; pjodder@charlotte.edu;
   zully@fsk.upsi.edu.my
RI A. Rahaman, Zullyadini/ABF-5028-2021; Altuwaijri, Hamad/GRE-8676-2022;
   Kafy, Abdulla Al/AAF-2173-2020; Salim, Md Zakaria/KPA-5829-2024
OI Salim, MD Zakaria/0000-0001-6225-6296; Kafy, Abdulla
   Al/0000-0002-7544-5165; A. Rahaman, Zullyadini/0000-0003-2529-6525
FU King Saud University, Riyadh, Saudi Arabia [RSPD2024R848]
FX The authors extend their appreciation to the Researchers Supporting
   Project number (RSPD2024R848) , King Saud University, Riyadh, Saudi
   Arabia.
CR Al Senafi F, 2015, INT J CLIMATOL, V35, P4509, DOI 10.1002/joc.4302
   Al-Aizari AR, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14164050
   Al-Hameedi WMM, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13204034
   Al-Shaibah B, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13091603
   Alberti M, 2005, INT REGIONAL SCI REV, V28, P168, DOI 10.1177/0160017605275160
   Anandhi A, 2018, HYDROLOGY-BASEL, V5, DOI 10.3390/hydrology5030042
   [Anonymous], 2021, Office for Coastal Management Hurricane Costs
   Awad M, 2015, Efficient learning machines, P39, DOI [10.1007/978-1-4302-5990-9_3, DOI 10.1007/978-1-4302-5990-9_3, 10.1007/978-1-4302-5990-93, DOI 10.1007/978-1-4302-5990-9, 10.1007/978-1-4302-5990-9, DOI 10.1007/978-1-4302-5990-93]
   Barrette M, 2017, FOREST ECOL MANAG, V401, P117, DOI 10.1016/j.foreco.2017.07.012
   Ben Abbes A, 2024, ARTIF INTELL REV, V57, DOI 10.1007/s10462-024-10734-1
   Brun J, 2013, INT J REMOTE SENS, V34, P519, DOI 10.1080/01431161.2012.714088
   Carter L.M., 2018, Climate Assessment, VII, DOI [10.7930/NCA4.2018.CH19, DOI 10.7930/NCA4.2018.CH19]
   Chamine HI, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04855-3
   Coronese M, 2019, P NATL ACAD SCI USA, V116, P21450, DOI 10.1073/pnas.1907826116
   Dobbs C, 2011, LANDSCAPE URBAN PLAN, V99, P196, DOI 10.1016/j.landurbplan.2010.11.004
   Dziuda D.M., 2024, Multivariate Biomarker Discovery, P158, DOI [10.1017/9781009006767.015, DOI 10.1017/9781009006767.015]
   Eugenia Ibarraran Maria, 2009, Environment Development and Sustainability, V11, P549, DOI 10.1007/s10668-007-9129-9
   Floor F., 1969, Source: Ecology, V50
   Ganivet E, 2020, ENVIRON DEV SUSTAIN, V22, P4979, DOI 10.1007/s10668-019-00446-w
   Hall-Beyer M, 2003, IEEE T GEOSCI REMOTE, V41, P2568, DOI 10.1109/TGRS.2003.817274
   Harte J, 2007, POPUL ENVIRON, V28, P223, DOI 10.1007/s11111-007-0048-3
   Hu TG, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060827
   Huang S, 2021, J FORESTRY RES, V32, P1, DOI 10.1007/s11676-020-01155-1
   HUETE A R, 1988, Remote Sensing of Environment, V25, P295, DOI 10.1016/0034-4257(88)90106-X
   Illarionova S, 2024, FRONT ENV SCI-SWITZ, V12, DOI 10.3389/fenvs.2024.1412870
   Karnieli A, 2010, J CLIMATE, V23, P618, DOI 10.1175/2009JCLI2900.1
   KAUFMAN YJ, 1992, IEEE T GEOSCI REMOTE, V30, P261, DOI 10.1109/36.134076
   Landry S.M., 2008, Final Report to the City of Tampa
   Liu D., 2022, New Thinking in GIScience, P233, DOI [10.1007/978-981-19-3816-025, DOI 10.1007/978-981-19-3816-025]
   Liu XP, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14246323
   Martinez AD, 2023, ENVIRON RES, V220, DOI 10.1016/j.envres.2022.115155
   Matsumoto U, 2020, J PHYS CHEM C, V124, P20555, DOI 10.1021/acs.jpcc.0c05443
   Mokarram M, 2015, MODEL EARTH SYST ENV, V1, DOI 10.1007/s40808-015-0029-y
   Mokarram M, 2015, MODEL EARTH SYST ENV, V1, DOI 10.1007/s40808-015-0038-x
   Molina MJ, 2016, GEOPHYS RES LETT, V43, P12295, DOI 10.1002/2016GL071603
   Naik DL, 2021, J BIG DATA-GER, V8, DOI 10.1186/s40537-021-00515-w
   National Center for Ocean Coastal Climate, 2017, Coastal Change
   Nguyen TD, 2021, DISTRIB PARALLEL DAT, V39, P665, DOI 10.1007/s10619-020-07315-w
   Nofal OM, 2021, J STRUCT ENG, V147, DOI 10.1061/(ASCE)ST.1943-541X.0003144
   Nofal OM, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102429
   Palm R, 2023, PROF GEOGR, V75, P916, DOI 10.1080/00330124.2023.2194372
   Patel S., 2023, Machine Learning-Based Multi-Temporal Image Classification Using Object-Based Image Analysis and Supervised Classification, P223, DOI [10.1007/978-981-16-9967-222, DOI 10.1007/978-981-16-9967-222]
   Price RM, 2008, J HYDROL, V358, P193, DOI 10.1016/j.jhydrol.2008.06.003
   Priya RS, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-63047-2
   Qin HM, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13244969
   Ramesh B, 2021, J EXPO SCI ENV EPID, V31, P832, DOI 10.1038/s41370-021-00361-1
   Ranjbar A, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-05615-0
   Ranjbar MH, 2022, WATER RES, V221, DOI 10.1016/j.watres.2022.118814
   Rhyma PP, 2020, REMOTE SENS APPL, V17, DOI 10.1016/j.rsase.2019.100280
   Roy PD, 2019, EARTH SURF PROC LAND, V44, P2211, DOI 10.1002/esp.4645
   Schonlau M, 2020, STATA J, V20, P3, DOI 10.1177/1536867X20909688
   Tahsin S, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091390
   U.S. EPA, 2016, Climate Change Indicators: U.S. Greenhouse Gas Emissions
   Vali A, 2020, THEOR APPL CLIMATOL, V140, P37, DOI 10.1007/s00704-019-03073-7
   Villa P, 2012, NAT HAZARDS, V64, P667, DOI 10.1007/s11069-012-0261-y
   Wainer J, 2021, ARTIF INTELL REV, V54, P4771, DOI 10.1007/s10462-021-10011-5
   Wang SYS, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb85
   Wu CY, 2012, ECOL INDIC, V14, P66, DOI 10.1016/j.ecolind.2011.08.018
   Wu Chunxia, 2008, Urban Forestry & Urban Greening, V7, P65, DOI 10.1016/j.ufug.2008.01.002
   Xue JR, 2017, J SENSORS, V2017, DOI 10.1155/2017/1353691
   Yan XG, 2023, LAND-BASEL, V12, DOI 10.3390/land12122149
   Zhou ZH, 2018, GLOBAL ECOL BIOGEOGR, V27, P110, DOI 10.1111/geb.12663
   Zivin JG, 2023, J ENVIRON ECON MANAG, V117, DOI 10.1016/j.jeem.2022.102770
   Zolnikov TR, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100251
NR 64
TC 1
Z9 1
U1 7
U2 9
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1474-7065
EI 1873-5193
J9 PHYS CHEM EARTH
JI Phys. Chem. Earth
PD DEC
PY 2024
VL 136
AR 103750
DI 10.1016/j.pce.2024.103750
EA SEP 2024
PG 13
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA I0D6V
UT WOS:001327053700001
DA 2025-04-22
ER

PT J
AU Vajjarapu, H
   Verma, A
   Allirani, H
AF Vajjarapu, Harsha
   Verma, Ashish
   Allirani, Hemanthini
TI Evaluating climate change adaptation policies for urban transportation
   in India
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Vulnerability assessment; Travel demand modelling; Urban floods; Urban
   transport policy; Developing economies
ID VULNERABILITY ASSESSMENT; DELPHI METHOD; IMPACTS; RESILIENCE; CITY
AB Globally, the response to climate change has been through mitigation to reduce the greenhouse gas emissions. But the inevitable climate change effects due to constant feeding of emissions into atmosphere leads to severe and extreme precipitation causing flooding. The combined impact of flooding, rapid urbanization and vehicular growth has become a looming threat to the transportation system which is affecting the developing economies disproportionately. There is an urgent need for the transport infrastructure to adapt to these climate change effects to reduce human as well as economic losses and adaptation is seen as the necessary tool to address this. In this paper, a methodological approach to formulate the adaptation strategies from urban transport to urban flooding in developing economies is presented. Further three adaptation policy bundles are formulated specifically to enhance the resilience of transportation system against urban flooding thereby strengthening the adaptive capacity of the system. These strategies are evaluated for the years 2030 and 2050 along with base year for various travel parameters to estimate the impact of flooding. This study finds that the implementation of bundle 1 is an effective adaptation measure when compared to bundle 2 and 3. The comparative analysis with BAU flooding scenario shows that VKT of bundle 1 is reduced by 4% and 3%, speeds increased by 21% and 45%, vehicle hours travelled by 9% and 8% for the years 2030 and 2050 respectively. Trips that are cancelled due to flooding can be nullified using appropriate strategies is also shown in this paper.
C1 [Vajjarapu, Harsha; Verma, Ashish; Allirani, Hemanthini] Indian Inst Sci, Dept Civil Engn, Bangalore, Karnataka, India.
C3 Indian Institute of Science (IISC) - Bangalore
RP Verma, A (corresponding author), Indian Inst Sci, Dept Civil Engn, Bangalore, Karnataka, India.
EM ashishv@iisc.ac.in
OI Vajjarapu, Harsha/0000-0003-4214-2261; Allirani,
   Hemanthini/0000-0002-2762-1590
FU Research Council of Norway (NFR) [ITEN 001]
FX The work reported in this paper is part of the Indo-Norway Collaborative
   Project titled "Coping with Climate: Assessing Policies for Climate
   Change Adoption and Transport Sector Mitigation in Indian Cities
   (CLIMATRANS)", Project No. ITEN 001, Sponsored by Research Council of
   Norway (NFR). The authors thank the other project partners for their
   feedback and support throughout the project. Also, our sincere thanks to
   the all the. Also, we express our sincere thanks to all the stakeholders
   from the organisations of Bangalore Metropolitan Region who actively
   participated and provided inputs for completion of this work.
CR Adeniyi MO, 2019, POLLUTION, V5, P301
   [Anonymous], 290 TRANSP RES BOARD
   [Anonymous], 2005, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters, DOI DOI 10.1017/CBO9781107415324.004
   [Anonymous], TERM GLOSS
   [Anonymous], 2008, Final Report: A Climate Change Action Plan, P15
   [Anonymous], ENV MANAGEMENT
   [Anonymous], 2018, POST DISASTER NEEDS
   Bangalore Development Authority (BDA), 2007, VIS DOC BANG MAST PL, V1
   Bangalore Metropolitan Region Development Authority (RMRDA), 2015, BANG METR REG REV ST
   Bangalore Metropolitan Regional Development Authority(BMRDA), 2010, COMP TRAFF TRANSP ST
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bipartisan Policy Center (BPC), 2012, TRANSP AD CLIM CHANG
   Brenkert AL, 2005, CLIMATIC CHANGE, V72, P57, DOI 10.1007/s10584-005-5930-3
   Burkett V.P., 2008, IMPACTS CLIMATE CHAN, P145
   Census of India, 2014, CENS IND 2011 DISTR
   Chang H, 2010, ANN ASSOC AM GEOGR, V100, P938, DOI 10.1080/00045608.2010.497110
   Connelly A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051399
   Cook J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/4/048002
   Ortúzar JD, 2011, MODELLING TRANSPORT, 4TH EDITION, P1, DOI 10.1002/9781119993308
   De US, 2005, J INDIAN GEOPHYS UNI, V9, P173
   Department of Transport, DEP TRANSP GREEN TRA
   Dhar TK, 2017, J ENVIRON PLANN MAN, V60, P602, DOI 10.1080/09640568.2016.1178107
   Directorate of Economics and Statistics (DES), 2015, STAT DISTR DOM PROD
   Eckstein D., 2017, GLOBAL CLIMATE RISK, P36
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P451, DOI 10.1007/s11027-011-9336-4
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Finn C., 2013, EOS T AM GEOPHYS UN, V94, P301, DOI DOI 10.1002/2013EO340006
   Goswami BN, 2006, SCIENCE, V314, P1442, DOI 10.1126/science.1132027
   Gulzar S, 2014, PRELIMINARY GUIDELIN
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   He XJ, 2017, J ENVIRON INFORM, V29, P110, DOI 10.3808/jei.201700367
   Hensher DA, 2008, TRANSPORT RES D-TR E, V13, P95, DOI 10.1016/j.trd.2007.12.003
   Hirschhorn F, 2019, INT J SOC RES METHOD, V22, P309, DOI 10.1080/13645579.2018.1543841
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jenelius E, 2012, TRANSPORT RES A-POL, V46, P746, DOI 10.1016/j.tra.2012.02.003
   Karbassi AR, 2015, INT J ENVIRON RES, V9, P621
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Kumar P, 2016, LAND USE POLICY, V58, P514, DOI 10.1016/j.landusepol.2016.08.018
   Leiserowitz A., 2012, CLIMATE CHANGE INDIA
   Levy BS, 2015, ANN GLOB HEALTH, V81, P310, DOI 10.1016/j.aogh.2015.08.008
   Loo R, 2002, POLICING, V25, P762, DOI 10.1108/13639510210450677
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   May A.D., 2000, WORKING PAPER, P545
   Navazi A, 2017, INDIAN J GEO-MAR SCI, V46, P1183
   Ng E, 2018, URBAN CLIM, V23, P352, DOI 10.1016/j.uclim.2017.07.006
   PEW, 2008, AD PLANN WHAT US STA
   Pregnolato M, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000372
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Ramachandra T., 2009, Disaster Dev, V3, P1
   Ramachandra T.V., 2017, FREQUENT FLOODS BANG, DOI [10.13140/RG.2.2.17517.90088, DOI 10.13140/RG.2.2.17517.90088]
   Ramachandra T.V., 2012, Journal of Resources, Energy and Development, V9, P1, DOI DOI 10.3233/RED-120001
   Rani NNVS, 2015, NAT HAZARDS, V77, P405, DOI 10.1007/s11069-015-1597-x
   Revi A, 2008, ENVIRON URBAN, V20, P207, DOI 10.1177/0956247808089157
   Ryan Coffey, 2013, DIFFERENCE LAND USE
   Salehi E, 2016, POLLUTION, V2, P83, DOI 10.7508/pj.2016.01.009
   Sanyal J, 2005, HYDROL PROCESS, V19, P3699, DOI 10.1002/hyp.5852
   Satterthwaite D., 2008, Proceedings of the United Nations Expert Group meeting on population distribution, urbanization, internal migration and development, P21
   Scholz M, 2007, BUILD ENVIRON, V42, P3830, DOI 10.1016/j.buildenv.2006.11.016
   Sharma D, 2010, ENVIRON URBAN, V22, P451, DOI 10.1177/0956247810377390
   Singh P, 2018, INT J DISAST RISK RE, V28, P237, DOI 10.1016/j.ijdrr.2018.03.017
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   US DOT Guidebook, 2010, US DOT GUIDEBOOK PRE
   Vajjarapu H., 2018, GEOSPATIAL INFRASTRU, P235
   Vajjarapu H, 2019, TRANSP DEV ECON, V5, DOI 10.1007/s40890-019-0071-y
   Van MG., 1990, TRANSPORT RES REC
   Verma A., 2018, SUSTAINABLE TR UNPUB
   Weingarten F.W., 1989, United States government information policies
NR 69
TC 18
Z9 20
U1 7
U2 40
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD AUG
PY 2020
VL 47
AR 101528
DI 10.1016/j.ijdrr.2020.101528
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA LW7CS
UT WOS:000539301800013
DA 2025-04-22
ER

PT J
AU Yigitcanlar, T
   Sabatini-Marques, J
   Lorenzi, C
   Bernardinetti, N
   Schreiner, T
   Fachinelli, A
   Wittmann, T
AF Yigitcanlar, Tan
   Sabatini-Marques, Jamile
   Lorenzi, Cibele
   Bernardinetti, Nathalia
   Schreiner, Tatiana
   Fachinelli, Ana
   Wittmann, Tatiana
TI Towards Smart Florianopolis: What Does It Take to Transform a Tourist
   Island into an Innovation Capital?
SO ENERGIES
LA English
DT Article
DE tourist island; innovation hub; knowledge-based urban development;
   knowledge and innovation economy; smart city; urban branding; urban
   policy; economic resilience; Florianopolis; Brazil
ID URBAN-DEVELOPMENT; PLACE-MAKING; KNOWLEDGE; CITY; REGIONS; CITIES;
   SUSTAINABILITY; VULNERABILITY; RESILIENCE; MANAGEMENT
AB During the last several decades, the diversification of economic activities has become a paramount policy for nations and cities with heavy dependence on a single economic driver. Particularly island economies, relying mainly on tourism income, are among the most vulnerable ones to the shocks of global financial crises. In the recent years, some of these tourist islands had attempts to diversify their economic activities by moving towards a knowledge and innovation economy. This paper places one of these islandsFlorianopolis, the capital city of the Brazilian state of Santa Catarinaunder the microscope to address the question of what it takes to transform a tourist island into an innovation capital'. In order to tackle this question, the study examines economic, social, spatial, and governance conditions and performances, along with the plans and processes of Florianopolis in moving towards an internationally recognized smart innovation island. The methodologic approach includes systematic review of the literature and qualitative analysis of the key development domains of Florianopolis through the lens of knowledge-based urban development. The results of this study provide insights into how to transform a resource-based economy into a knowledge-based oneby disclosing the transition journey of Florianopolis, including progress, challenges, and the new path creation processes. The findings are particularly useful for tourist islands that are aiming for an aspiring knowledge-based urban development and smart city transformation.
C1 [Yigitcanlar, Tan] Queensland Univ Technol, Sch Civil Engn & Built Environm, 2 George St, Brisbane, Qld 4000, Australia.
   [Sabatini-Marques, Jamile; Schreiner, Tatiana; Wittmann, Tatiana] Univ Fed Santa Catarina, Dept Engn & Knowledge Management, Campus Univ, BR-88040900 Florianopolis, SC, Brazil.
   [Lorenzi, Cibele] Prefeitura Municipal Florianopolis, Rua Tenente Silveira 60, BR-88010102 Florianopolis, SC, Brazil.
   [Bernardinetti, Nathalia] Senac Santa Catarina, Rua Felipe Schmidt 785, BR-88010002 Florianopolis, SC, Brazil.
   [Fachinelli, Ana] Univ Caxias Sul, Dept Commun, Rua Francisco Getulio Vargas 1130, BR-95070650 Caxias Do Sul, RS, Brazil.
C3 Queensland University of Technology (QUT); Universidade Federal de Santa
   Catarina (UFSC); Universidade de Caxias do Sul
RP Yigitcanlar, T (corresponding author), Queensland Univ Technol, Sch Civil Engn & Built Environm, 2 George St, Brisbane, Qld 4000, Australia.
EM tan.yigitcanlar@qut.edu.au; jamile@labchis.com; cibele@pmf.sc.gov.br;
   nathalia.bernardinetti@sc.senac.br; tati@labchis.com; acfachin@ucs.br;
   tatianaw@labchis.com
RI Wittmann, Tatiana/Q-2367-2019; Fachinelli Bertolini, Ana
   Cristina/F-2094-2014; Yigitcanlar, Tan/J-1142-2012
OI Fachinelli Bertolini, Ana Cristina/0000-0003-4136-6933; Wittmann,
   Tatiana/0000-0002-3747-5849; Sabatini Marques,
   Jamile/0000-0003-3734-4459; Yigitcanlar, Tan/0000-0001-7262-7118;
   schreiner, tatiana/0000-0002-4548-9239
FU Governo do Estado de Santa Catarina; Prefeitura Municipal de
   Florianopolis; Fecomercio Santa Catarina; Senac Santa Catarina;
   Associacao Brasileira das Empresas de Software; Instituto Lixo Zero
   Brasil; Federal University of Santa Catarina; University of Caxias do
   Sul; Queensland University of Technology
FX This research is an outcome of a project entitled 'Smart Floripa:
   Strategizing the Transformation of Florianopolis into a Smart Innovation
   Island'. The project received financial and in-kind support from the
   following project partners: Governo do Estado de Santa Catarina,
   Prefeitura Municipal de Florianopolis, Fecomercio Santa Catarina, Senac
   Santa Catarina, Associacao Brasileira das Empresas de Software,
   Instituto Lixo Zero Brasil, Federal University of Santa Catarina,
   University of Caxias do Sul, and Queensland University of Technology.
CR Afonso O, 2012, J BUS ECON MANAG, V13, P849, DOI 10.3846/16111699.2011.626438
   [Anonymous], 2010, KNOWLEDGE BASED DEV
   Azevedo I., 2017, REAVI, V6, P108, DOI [10.5965/2316419006092017108, DOI 10.5965/2316419006092017108]
   Azevedo I., 2016, P INT C RES DEV CUR, P347
   Barreto M., 2003, Turismo, Politicas Publicas e Relacoes Internacionais
   Bask A, 2017, INT J PHYS DISTR LOG, V47, P560, DOI 10.1108/IJPDLM-03-2017-0127
   Bastos G., 2009, THESIS U SAO PAULO S
   Baum S., 2009, International Journal of Foresight and Innovation Policy, V5, P44
   Barufi AMB, 2018, CITIES, V78, P39, DOI 10.1016/j.cities.2018.02.005
   Barufi AMB, 2016, ANN REGIONAL SCI, V56, P707, DOI 10.1007/s00168-016-0768-3
   Bridges A., 2017, THESIS RUTGERS U NEW
   Briguglio L, 2009, OXF DEV STUD, V37, P229, DOI 10.1080/13600810903089893
   Cabrer-Borrás B, 2007, RES POLICY, V36, P1357, DOI 10.1016/j.respol.2007.04.012
   Capo J., 2007, Journal of Sustainable Tourism, V15, P615, DOI 10.2167/jost698.0
   Carrillo FJ, 2014, ROUTL STUD HUM GEOGR, V52, P1
   Chertow M, 2008, REG STUD, V42, P1299, DOI 10.1080/00343400701874123
   Constantinou CS, 2017, QUAL RES, V17, P571, DOI 10.1177/1468794116686650
   Cooke P., 2006, Journal of Technology Transfer, V31, P5, DOI DOI 10.1007/S10961-005-5009-3
   Cowley R, 2019, ENVIRON PLANN D, V37, P428, DOI 10.1177/0263775818787506
   Dalmarco G, 2018, TECHNOL FORECAST SOC, V135, P99, DOI 10.1016/j.techfore.2018.04.015
   De Luca Filho V., 2014, THESIS FEDERAL U SAN
   Depine A.C., 2016, THESIS FEDERAL U SAN
   EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557
   Endeavor Brazil, IND CID EMPR
   Esmaeilpoorarabi N, 2016, INT J KNOWL-BASED DE, V7, P4, DOI 10.1504/IJKBD.2016.075444
   Evers HD, 2010, J KNOWL MANAG, V14, P678, DOI 10.1108/13673271011074836
   Fernandes E, 2000, THIRD WORLD PLAN REV, V22, P167
   Figueiroa AC, 2016, DESENVOLV MEIO AMBIE, V38, P283, DOI 10.5380/dma.v38i0.47110
   Gaspar J.V., 2017, REV LIVRE SUSTENTABI, V29, P183
   Ghaderi Z, 2012, TOUR MANAG PERSPECT, V2-3, P79, DOI 10.1016/j.tmp.2012.03.006
   Glaser B.G., 1967, AWARENESS DYING
   Goonetilleke A., 2014, Sustainable urban water environment: Climate, pollution and adaptation, P245
   Hadjimanolis A, 2001, RES POLICY, V30, P805, DOI 10.1016/S0048-7333(00)00123-2
   Harper J. C., 2005, International Journal of Foresight and Innovation Policy, V2, P84, DOI 10.1504/IJFIP.2005.007597
   Hyde K.F., 2000, QUAL MARK RES, V3, P82, DOI [https://doi.org/10.1108/13522750010322089, 10.1108/13522750010322089, DOI 10.1108/13522750010322089]
   Instituto Brasileiro de Geografia e Estatisticas (IBGE), 2014, SAN CAT FLOR IBGE RI
   Instituto Brasileiro de Geografia e Estatisticas (IBGE), FLOR PAN
   Jones C., 2007, Journal of Travel Research, V46, P164, DOI 10.1177/0047287507299592
   Khan Ifran, 2018, Daily Times
   Lara A., 2016, J OPEN INNOVATION, V2, P1, DOI [DOI 10.1186/S40852-016-0034-Z, 10.1186/s40852-016-0034-z]
   Lara A.P., 2013, P 15 LAT IB AM C MAN, P1673
   Lenzi M.H., 2016, THESIS U SAO PAULO S
   Lönnqvist A, 2014, EUR PLAN STUD, V22, P2011, DOI 10.1080/09654313.2013.814621
   Lorenzetti J, 2012, TEXTO CONTEXTO ENFER, V21, P432, DOI 10.1590/S0104-07072012000200023
   Machado E.V., 2000, THESIS U SANTA CATAR
   Mais I., 2010, REV ADM INOVACAO, V7, P41, DOI [10.5585/rai.v7i1.286, DOI 10.5585/rai.v7i1.286]
   Martins C., 2013, THESIS U DO SUL DE S
   Menezes AG, 2016, NAVUS-REV GEST TECNO, V6, P93
   Michelmann A.C., 2017, THESIS FEDERAL U SAN
   Millar CCJM, 2010, J KNOWL MANAG, V14, P759, DOI 10.1108/13673271011074881
   Musse JD, 2018, J CLEAN PROD, V193, P97, DOI 10.1016/j.jclepro.2018.04.219
   ND Online, SC 401 NUM ROD FLOR
   Oliveira A.P., 2011, HIST TURISMO FLORIAN
   Guerra JBSOD, 2017, J CLEAN PROD, V163, pS209, DOI 10.1016/j.jclepro.2017.05.142
   Pancholi S., 2018, SYD CITY CULT SOC, V1, P13
   Pancholi S, 2018, J URBAN DES, V23, P693, DOI 10.1080/13574809.2018.1454259
   Pancholi S, 2019, TECHNOL FORECAST SOC, V146, P616, DOI 10.1016/j.techfore.2017.09.014
   Pancholi S, 2017, J PLACE MANAG DEV, V10, P73, DOI 10.1108/JPMD-08-2016-0053
   Pancholi S, 2015, INT J KNOWL-BASED DE, V6, P215, DOI 10.1504/IJKBD.2015.072823
   Pancholi S, 2014, ASIA PAC J INNOV ENT, V8, P15
   Paulilo Maria I. S., 2002, GEOSUL, V17, P87
   Pereira E.M., 2000, SEM HIST CID URB, V6, P1
   Prefeitura Municipal de Florianopolis (PMF), 2017, FLOR SUST ACT PLAN
   Prefeitura Municipal de Florianopolis (PMF), 2013, FLOR SE LIG NA RED P
   Prefeitura Municipal de Florianopolis (PMF), 2017, FLOR URB GROWTH STUD
   Prefeitura Municipal de Florianopolis (PMF), 2012, MUN HOUS SOC INT FLO
   Prefeitura Municipal de Florianopolis (PMF), 2017, FLOR MIT CLIM CHANG
   Sabatini-Marques J., 2015, ASIA PAC J INNOV ENT, V9, P31
   Santos F.M., 2006, P 4 MERC TOUR RES SE, P1
   Sarimin M, 2012, INT J KNOWL-BASED DE, V3, P175, DOI 10.1504/IJKBD.2012.047035
   Sarquis AB, 2014, REV ELETRONICA ESTRA, V7, P228, DOI 10.19177/reen.v7e32014228-255
   Scherer MEG, 2016, J COASTAL RES, P690, DOI 10.2112/SI75-138.1
   Scheyvens R, 2008, J SUSTAIN TOUR, V16, P491, DOI 10.1080/09669580802159586
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   STAHELIN GD, 2012, MAR TURT NEWSL   APR, P23
   Tarachucky L., 2015, THESIS FEDERAL U SAN
   Techflier, 9 TECH START FLOR YO
   Trindade E. P., 2017, J OPEN INNOVATION, V3, P11, DOI [10.1186/s40852-017-0063-2, DOI 10.1186/S40852-017-0063-2]
   Ueno A., 2011, THESIS FEDERAL U SAN
   Xavier M., 2010, POLO TECNOLOGICO FLO
   Yigitcanlar T, 2015, GLOB J ENVIRON SCI M, V1, P159, DOI 10.7508/gjesm.2015.02.008
   Yigitcanlar T, 2014, INT J ENVIRON SCI TE, V11, P2121, DOI 10.1007/s13762-014-0691-z
   Yigitcanlar T, 2012, BUILDING PROSPEROUS KNOWLEDGE CITIES: POLICIES, PLANS AND METRICS, P1
   Yigitcanlar T., 2016, Technology and the City: Systems, applications and implications, DOI DOI 10.4324/9781315739090
   Yigitcanlar T., 2019, Geographies of Disruption: Place Making for Innovation in the Age of Knowledge Economy
   Yigitcanlar T., 2009, Theoretical and Empirical Researches in Urban Management, V4, P5
   Yigitcanlar T, 2018, CITIES, V81, P145, DOI 10.1016/j.cities.2018.04.003
   Yigitcanlar T, 2018, R&D MANAGE, V48, P460, DOI 10.1111/radm.12323
   Yigitcanlar T, 2018, LAND USE POLICY, V73, P49, DOI 10.1016/j.landusepol.2018.01.034
   Yigitcanlar T, 2017, EUR PLAN STUD, V25, P2272, DOI 10.1080/09654313.2017.1358699
   Yigitcanlar T, 2019, TECHNOL FORECAST SOC, V146, P403, DOI 10.1016/j.techfore.2017.05.039
   Yigitcanlar T, 2013, AUSTRALAS J REG STUD, V19, P36
   Yigitcanlar T, 2015, DISP, V51, P62, DOI 10.1080/02513625.2015.1093352
   Yigitcanlar T, 2015, AUST PLAN, V52, P27, DOI 10.1080/07293682.2015.1019752
   Yigitcanlar T, 2015, ENVIRON PLANN A, V47, P89, DOI 10.1068/a130209p
   Yigitcanlar T, 2014, EXPERT SYST APPL, V41, P5549, DOI 10.1016/j.eswa.2014.03.032
   Yin R.K., 2014, Applications of case study research, V2nd
   Yin R.K., 2011, Qualitative research from start to finish
   YIN RK, 1994, EVAL PRACT, V15, P283, DOI 10.1016/0886-1633(94)90023-X
   Zhang Y.S., 2010, STUD SCI SCI, V5, P20
   Zouain D.M., 2015, Triple Helix, V2, DOI [10.1186/s40604-015-0018-1, DOI 10.1186/S40604-015-0018-1]
NR 101
TC 15
Z9 16
U1 2
U2 33
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD DEC
PY 2018
VL 11
IS 12
AR 3265
DI 10.3390/en11123265
PG 32
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Energy & Fuels
GA HG9VB
UT WOS:000455358300026
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Pani, N
AF Pani, Narendar
TI Resource cities across phases of globalization: Evidence from Bangalore
SO HABITAT INTERNATIONAL
LA English
DT Article
DE Globalization; Resource cities; Bangalore; Urbanization
AB The literature on world cities and global cities has a resilient tendency to list hierarchies based on, among other things, the ability of a city to act as a command and control centre of the forces of globalization. This implies, even if it is not always explicitly acknowledged, there are other cities in the process of globalization that provide the resources that are commanded and controlled. There is also a wider recognition today that the process following the fundamental changes in technology since the 1980s, despite all its significance and unique features, is only the latest phase in the historical process of globalisation. Our understanding of resource cities could then begin by identifying the features of such a city that is common to all its phases of globalization. This paper looks at the experience of the south Indian city of Bangalore with three phases of its globalization: the colonial phase, the garment phase and the information technology phase. It finds that even as a resource city like Bangalore uses some of its unique characteristics to attract the attention of the command and control centres of each phase of globalization, it requires state support to do so effectively. Since the demands of each phase of globalization are very different, it needs to create new peripheries to provide the resources the command and control centres require. This has its implications for place as the peripheries can become more dominant than the city centre in economic and other terms. (C) 2008 Elsevier Ltd. All rights reserved.
C1 Natl Inst Adv Studies, Bangalore 560012, Karnataka, India.
RP Pani, N (corresponding author), Natl Inst Adv Studies, Indian Inst Sci Campus, Bangalore 560012, Karnataka, India.
EM narendar.pani@gmail.com
CR *AEPC, HDB EXP STAT 2001 20
   *AEPC, HDB EXP STAT 1989 19
   *BANG IT, 2005, GROWTH ITES BPO SECT
   BUCHANAN F, 1970, JOURNEY MADRAS COUNT, V1
   Castells M., 1996, Rise of The Network Society
   CORNWALLIS, 1971, PLAN BANGALORE ATTAC
   *DIR SEC ED, 2005, STAT SHOW MAN WIS EN
   *DIR SEC ED, 2005, STAT SHOW MAN WIS KA
   FRIEDMANN J, 1986, DEV CHANGE, V17, P69, DOI 10.1111/j.1467-7660.1986.tb00231.x
   HANUMANTHAPPA T, 1987, HIST KARNATAKA LEGIS, V2, P1908
   Heitzman James., 2004, Network City: Planning the Information Society in Bangalore
   LEE M, 1987, SPATIAL ISSUES TECHN
   Marcuse Peter., 2000, GLOBALIZING CITIES N, P249
   Nair J., 2005, PROMISE METROPOLIS B
   Narasimha R, 1999, NATURE, V400, P123, DOI 10.1038/22022
   PANI N, 1982, BUREAUCRAT PRINCELY
   PANI N, 1985, ESSAYS BANGALORE, V1, P1800
   PANI N, 1987, DEMOGRAPHIC EC PROFI
   Parthasarathy B, 2004, INT J URBAN REGIONAL, V28, P664, DOI 10.1111/j.0309-1317.2004.00542.x
   PENNY F, 1922, HURCH MADRAS
   PENNY F, 1912, CHURCH MADRAS, V2
   PRASAD K, 2001, OUTLOOK, V72
   RICE L, 1897, GAZETTEER COMPILED G, V2
   Robinson Jennifer., 2013, ORDINARY CITIES MODE
   SASSEN S, 2004, FUTURE SOCIAL THEORY
   Sassen Saskia, 1991, GLOBAL CITY
   SASTRI VKN, 1932, ADM MYSORE SIR MARK
   SHORTLAND V, 1858, P MADRAS GOVT ECCLES
   Srinivas S., 2001, LANDSCAPES URBAN MEM
   Taylor PJ, 2000, POLIT GEOGR, V19, P5, DOI 10.1016/S0962-6298(99)00060-8
   Tewari M, 2005, 167 IND COUNC RES IN
   TUSSIE Diana., 1987, LESS DEV COUNTRIES W
   VENABLES AJ, 2003, SPATIAL DISPARITIES
   WELLESLEY A, 2004, MYSORE LETT DISPATCH, P201
   WILLIAMS A, 1850, MISSION MYSORE
   1932, INDIA POLITICAL P
   2004, STEP BANGALORE SESQU
   1807, SELECT PAPERS RELATI
NR 38
TC 19
Z9 23
U1 0
U2 8
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0197-3975
EI 1873-5428
J9 HABITAT INT
JI Habitat Int.
PD JAN
PY 2009
VL 33
IS 1
BP 114
EP 119
DI 10.1016/j.habitatint.2008.05.007
PG 6
WC Development Studies; Environmental Studies; Regional & Urban Planning;
   Urban Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology; Public
   Administration; Urban Studies
GA 391BU
UT WOS:000262208700014
DA 2025-04-22
ER

PT J
AU Dennis, M
   Armitage, RP
   James, P
AF Dennis, M.
   Armitage, R. P.
   James, P.
TI Appraisal of social-ecological innovation as an adaptive response by
   stakeholders to local conditions: Mapping stakeholder involvement in
   horticulture orientated green space management
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
ID URBAN ECOSYSTEM SERVICES; ENVIRONMENTAL JUSTICE; RESILIENCE; CAPACITY;
   GOVERNANCE; HEALTH; COMMUNITIES; COMMONS; MEMORY; GARDEN
AB Urban areas are hubs of creativity and innovation providing fertile ground for novel responses to modern environmental challenges. Previous studies have attempted to conceptualise the ecological, social and political potential of social-ecological innovation in urban green space management. However, little work has been conducted on the social-ecological conditions influencing their occurrence and distribution. Further research is therefore necessary to demonstrate whether stakeholder stewardship of green resources contributes towards adaptive capacity in social-ecological systems. The research reported here explored the extent of organised social-ecological innovations in a continuous urban landscape comprising three adjoining metropolitan areas: Manchester, Salford and Trafford (UK). Examples of horticulture orientated organised social-ecological innovation were identified using a snowball-sampling method. Their distribution, explored with GIS and remote sensing technology, was found to be significantly associated with levels of both, social and ecological, deprivation. The study presented social-ecological innovation as an adaptive response to environmental stressors, conditioned by specific social and ecological parameters in the landscape. It therefore provides empirical support for social-ecological innovation as a valid ingredient contributing to resilience in adaptive social-ecological systems. Not only do such collective community-led elements of natural resource management warrant acknowledgement in urban green space planning, but their distribution and productivity may provide a valuable social-ecological laboratory for the study of polycentric governance and adaptive capacity in the urban environment. (C) 2016 Elsevier GmbH. All rights reserved.
C1 [Dennis, M.; Armitage, R. P.; James, P.] Univ Salford, Coll Sci & Technol, Sch Environm & Life Sci, Salford M5 4WT, Lancs, England.
C3 University of Salford
RP Dennis, M (corresponding author), Univ Salford, Coll Sci & Technol, Sch Environm & Life Sci, Salford M5 4WT, Lancs, England.
EM m.dennis@salford.ac.uk
RI Armitage, Richard/B-1639-2010; James, Philip/A-1092-2009
OI Armitage, Richard/0000-0002-7569-425X; James, Philip/0000-0001-9079-3953
CR Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   [Anonymous], 2005, Ecosystems and human well-being: Desertification synthesis
   [Anonymous], UK NAT EC ASS UND NA
   [Anonymous], 2014, GREENING RED ZONE DI
   Armitage D, 2005, ENVIRON MANAGE, V35, P703, DOI 10.1007/s00267-004-0076-z
   Barthel S., 2014, Greening in the red zone, P145, DOI DOI 10.1007/978-90-481-9947-1_11
   Barthel S., 2011, URBAN MIND CULTURAL
   Barthel S, 2015, URBAN STUD, V52, P1321, DOI 10.1177/0042098012472744
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Biggs R, 2010, ECOL SOC, V15, DOI 10.5751/ES-03411-150209
   Cantner U, 2010, TECHNOVATION, V30, P496, DOI 10.1016/j.technovation.2010.04.002
   Carpenter SR, 2008, ECOL SOC, V13
   Cattell V, 2001, SOC SCI MED, V52, P1501, DOI 10.1016/S0277-9536(00)00259-8
   CBD, 2012, CIT BIOD OUTL
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Corrigan MP, 2011, APPL GEOGR, V31, P1232, DOI 10.1016/j.apgeog.2011.01.017
   DCLG (Department for Communities and Local Government), 2004, ENGL IND DEPR 2004
   Dennis M, 2016, URBAN FOR URBAN GREE, V15, P22, DOI 10.1016/j.ufug.2015.11.009
   Dennis M, 2016, ECOSYST SERV, V17, P208, DOI 10.1016/j.ecoser.2016.01.003
   Dubé AS, 2015, CAN J PUBLIC HEALTH, V106, pES21
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Ernstson H, 2010, ECOL SOC, V15
   Ernstson H, 2008, ECOL SOC, V13
   Experian Limited, 2007, EXP DEM DAT 2004 200
   Experian Limited, 2006, MOS UK CONS CLASS UK
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Francis M., 1987, Landscape Research, V12, P8, DOI 10.1080/01426398708706216
   Glover TD, 2005, J LEISURE RES, V37, P450, DOI 10.1080/00222216.2005.11950062
   Glover TD, 2004, LEISURE SCI, V26, P143, DOI 10.1080/01490400490432064
   Goodman LA, 1961, Ann Math Stat, V32, P148, DOI [DOI 10.1214/AOMS/1177705148, 10.1214/aoms/1177705148]
   GOV, UK Internet
   Green G., 2013, LOCAL FOOD COMMUNITY
   Gunderson L, 2010, ECOL SOC, V15
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hardman M., 2014, INFORMAL URBAN AGR S
   Haughton G, 1999, J PLAN EDUC RES, V18, P233, DOI 10.1177/0739456X9901800305
   Holland L., 2004, Local Environment, V9, P285, DOI 10.1080/1354983042000219388
   Holling C.S., 2002, PANARCHY, P3, DOI DOI 10.1016/J.ECOLECON.2004.01.010
   Hynes HP, 2004, ACTA HORTIC, P171, DOI 10.17660/ActaHortic.2004.643.21
   Janssen MA, 2006, ECOL SOC, V11
   Jones S, 2005, ANN TOURISM RES, V32, P303, DOI 10.1016/j.annals.2004.06.007
   Kazmierczak A., 2013, GROWING MANCHESTER P
   Kingsley J, 2009, LEISURE STUD, V28, P207, DOI 10.1080/02614360902769894
   Krasny M.E., 2015, Civic ecology: Adaptation and transformation from the ground up, DOI 10.7551/mitpress/9780262-028653.001.0001
   Krasny M.E., 2009, Cities and the Environment, V2, P1
   Krasny ME, 2014, ECOSYST SERV, V7, P177, DOI 10.1016/j.ecoser.2013.11.002
   Krasny ME, 2012, FRONT ECOL ENVIRON, V10, P267, DOI 10.1890/110230
   Kudryavtsev A, 2012, ECOSPHERE, V3, DOI 10.1890/ES11-00318.1
   Lebel L, 2006, ECOL SOC, V11
   Manchester City Council, 2012, Manchesters local development framework-core strategy: Development plan document
   N. A. S. A. Landsat Program, 2013, LANDS 8 SCEN LC82030
   Okvat H., 2014, GREENING RED ZONE, P3
   Okvat HA, 2011, AM J COMMUN PSYCHOL, V47, P374, DOI 10.1007/s10464-010-9404-z
   Olsson P., 2012, SOCIAL INNOVATION BL, P223
   ONS (Office for National Statistics), 2016, SUP OUTP AR SOA ONS
   ONS (Office for National Statistics), 2001, CENS DIG BOUND DAT E
   ONS (Office for National Statistics), 2005, GEN LAND US DAT STAT
   Ordnance Survey, 2012, COD POINT OP DAT
   Patterson O, 2010, POPUL RES POLICY REV, V29, P127, DOI 10.1007/s11113-009-9133-x
   Pettorelli N, 2005, TRENDS ECOL EVOL, V20, P503, DOI 10.1016/j.tree.2005.05.011
   Pudup MB, 2008, GEOFORUM, V39, P1228, DOI 10.1016/j.geoforum.2007.06.012
   Rosol M, 2012, ANTIPODE, V44, P239, DOI 10.1111/j.1467-8330.2011.00861.x
   Schusler TM, 2009, ENVIRON EDUC RES, V15, P111, DOI 10.1080/13504620802710581
   Schweitzer L, 2007, URBAN STUD, V44, P319, DOI 10.1080/00420980601074961
   Shava S, 2010, ENVIRON EDUC RES, V16, P575, DOI 10.1080/13504622.2010.505436
   Tidball KG, 2011, J INTERV STATEBUILD, V5, P369, DOI 10.1080/17502977.2011.625787
   Tidball KG, 2011, ECOSPHERE, V2, DOI 10.1890/ES10-00153.1
   Tidball KG, 2012, ECOL SOC, V17, DOI 10.5751/ES-04596-170205
   Tidball KG, 2010, ENVIRON EDUC RES, V16, P591, DOI 10.1080/13504622.2010.505437
   Wakefield S, 2007, HEALTH PROMOT INT, V22, P92, DOI 10.1093/heapro/dam001
   Walker B., 2004, Ecology and Society, V9, P5
   Walker B, 2006, ECOL SOC, V11
NR 74
TC 23
Z9 23
U1 4
U2 97
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
EI 1610-8167
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD AUG 1
PY 2016
VL 18
BP 86
EP 94
DI 10.1016/j.ufug.2016.05.010
PG 9
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA DY2HW
UT WOS:000384914700010
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Bencekri, M
   Kwak, J
   Lee, D
   Csiba-Herczeg, A
   Lee, S
AF Bencekri, Madiha
   Kwak, Juhyeon
   Lee, Doyun
   Csiba-Herczeg, Agnes
   Lee, Seungjae
TI A systematic review of the 15-minute city framework: implications for
   environmental heritage preservation in the Anthropocene
SO INTERNATIONAL JOURNAL OF URBAN SCIENCES
LA English
DT Article
DE Environmental heritage; Anthropocene epoch; 15-minute city;
   decarbonization; urban design
ID EFFICIENCY; DIVERSITY
AB The 15-minute city model proposes a transformative urban planning framework aimed at reducing car dependency, enhancing accessibility, and promoting sustainability. Despite its alignment with the United Nations Sustainable Development Goals (UN SDGs), empirical and quantitative validations of its environmental benefits remain scarce. This study employs a hybrid methodology that combines systematic literature review, topic modelling, and sentiment analysis to examine the capacity of the model to mitigate environmental challenges. The systematic review identified three main thematic areas in the literature: (1) decarbonization and environmental impacts, (2) sustainability and resilience, and (3) urban planning and accessibility. While the model has been widely discussed, only 10.2% of the literature focuses on environmental outcomes, revealing a significant research gap. Topic modelling further uncovers five core themes mostly related to urban planning and mobility, where critical environmental terms like 'emissions', 'sustainability', and 'decarbonization' are notably absent, reinforcing the lack of focus on the model's ecological contributions. Sentiment analysis reveals a cautiously optimistic tone in scholarly discourse, with researchers recognizing the model's theoretical promise but expressing reservations about its real-world efficacy in addressing climate change. Therefore, this study highlights the urgent need for context-specific empirical and quantitative investigations to quantify a 15-minute city's contribution to reducing emissions and promoting environmental resilience in the long term. This study provides data-driven insights to guide policymakers and urban planners in making informed decisions regarding sustainable urban development in the Anthropocene epoch.
C1 [Bencekri, Madiha; Kwak, Juhyeon; Lee, Seungjae] Univ Seoul, Dept Transportat Engn, Seoul, South Korea.
   [Lee, Doyun] Univ Texas Austin, Sch Architecture, Austin, TX USA.
   [Csiba-Herczeg, Agnes] Univ Pecs, Viticulture & Oenol Res Inst, Pecs, Hungary.
C3 University of Seoul; University of Texas System; University of Texas
   Austin; University of Pecs
RP Lee, S (corresponding author), Univ Seoul, Dept Transportat Engn, Seoul, South Korea.
EM sjlee@uos.ac.kr
RI , Lee/AAI-4386-2020; Lee, Chang/HME-1129-2023
OI Kwak, Juhyeon/0000-0003-0308-1777; bencekri, madiha/0000-0002-0456-5880;
   Lee, Seungjae/0000-0001-9081-2835; Csiba Herczeg,
   Agnes/0009-0005-5241-965X
FU Korea Agency for Infrastructure Technology Advancement (KAIA) - Ministry
   of Land, Infrastructure and Transport [RS-2024-00409428]; National
   Research Foundation of Korea(NRF) - Korea government(MSIT)
   [NRF-RS-2024-00452221]; Korea Ministry of Land, Infrastructure and
   Transport (MOLIT) as Innovative Talent Education Programme for Smart
   City
FX This work is supported by the Korea Agency for Infrastructure Technology
   Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure
   and Transport (Grant RS-2024-00409428) for Juhyeon Kwak. This work was
   also supported by the National Research Foundation of Korea(NRF) grant
   funded by the Korea government(MSIT) (NRF-RS-2024-00452221) for Seungjae
   Lee. This work was also supported by Korea Ministry of Land,
   Infrastructure and Transport (MOLIT) as Innovative Talent Education
   Programme for Smart City.
CR Allam Z., 2023, RESILIENT SUSTAINABL, P135, DOI [10.1016/B978-0-323-91718-6.00001-3, DOI 10.1016/B978-0-323-91718-6.00001-3]
   Allam Z, 2022, ENERGIES, V15, DOI 10.3390/en15166042
   Allam Z, 2022, HUM SOC SCI COMMUN, V9, DOI 10.1057/s41599-022-01145-0
   Barbieri L, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15043772
   Ben Sta H, 2017, FUTURE GENER COMP SY, V74, P409, DOI 10.1016/j.future.2016.12.021
   Bencekri M., 2025, SUSTAINABLE URBAN VO
   Bencekri M., 2022, CHEM ENG TRANS, V97, P175, DOI [10.3303/CET2297030, DOI 10.3303/CET2297030]
   Bencekri M., 2021, CHEM ENG TRANS, V89, P235, DOI [10.3303/CET2189040, DOI 10.3303/CET2189040]
   Bencekri M, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-62701-z
   Bencekri M, 2023, P I CIVIL ENG-MUNIC, DOI 10.1680/jmuen.23.00040
   Bencekri M, 2023, ENERG SOURCE PART A, V45, P12791, DOI 10.1080/15567036.2023.2276380
   Bhakti T, 2021, ENVIRON DEV SUSTAIN, V23, P8758, DOI 10.1007/s10668-020-00993-7
   Brookes G, 2019, DISCOURSE STUD, V21, P3, DOI 10.1177/1461445618814032
   Brown JR, 2009, J AM PLANN ASSOC, V75, P161, DOI 10.1080/01944360802640016
   Burkert A., 2019, ATZELECTRONICS WORLD, V14, P16, DOI [10.1007/s38314-019-0038-0, DOI 10.1007/S38314-019-0038-0]
   Casarin G, 2023, URBAN STUD, V60, P3167, DOI 10.1177/00420980231169174
   Cervero R, 2011, INT J SUST DEV WORLD, V18, P210, DOI 10.1080/13504509.2011.570801
   Chardon Baptiste, 2013, Computational Linguistics and Intelligent Text Processing. 14th International Conference, CICLing 2013. Proceedings, P25, DOI 10.1007/978-3-642-37256-8_3
   Chen Xueke, 2022, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1122/1/012005
   Chen YY, 2023, COMMUN METHODS MEAS, V17, P111, DOI 10.1080/19312458.2023.2167965
   Choi M, 2024, J CLEAN PROD, V469, DOI 10.1016/j.jclepro.2024.143215
   Chu C., 2023, THEORETICAL NATURAL, V4, P453, DOI [10.54254/2753-8818/4/20220620, DOI 10.54254/2753-8818/4/20220620]
   Corlett RT, 2015, TRENDS ECOL EVOL, V30, P36, DOI 10.1016/j.tree.2014.10.007
   Dieleman F., 2004, BUILD ENVIRON, V30, P308
   Dimai M, 2010, STUD CLASS DATA ANAL, P241, DOI 10.1007/978-3-642-03739-9_28
   dos Santos JC, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15118508
   Gaglione F, 2021, EUR TRANSP, DOI 10.48295/ET.2021.85.5
   Gibbard P, 2022, J QUATERNARY SCI, V37, P395, DOI 10.1002/jqs.3416
   Giudice B., 2023, GREEN INFRASTRUCTURE, P1, DOI [10.1007/978-3-031-28772-5, DOI 10.1007/978-3-031-28772-5]
   Grandcolas P, 2018, BIODIVERSITY AND EVOLUTION, P251
   Guo L, 2023, LAND-BASEL, V12, DOI 10.3390/land12020299
   Hamilton C, 2016, ANTHROPOCENE REV, V3, P93, DOI 10.1177/2053019616634741
   Hazen RM, 2013, AM J SCI, V313, P807, DOI 10.2475/09.2013.01
   Im TL, 2015, IEEE SYS MAN CYBERN, P1601, DOI 10.1109/SMC.2015.283
   Jo J, 2024, CLEAN TECHNOL ENVIR, DOI 10.1007/s10098-024-03012-9
   Kapoor N., 2023, METHODOLOGY SUSTAINA, P81, DOI [10.1007/978-981-19-7618-65, DOI 10.1007/978-981-19-7618-65]
   Khavarian-Garmsir AR, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.104101
   Kim H.-J., 2023, J KOREA ACAD IND COO, V24, P134, DOI [10.5762/KAIS.2023.24.6.134, DOI 10.5762/KAIS.2023.24.6.134]
   Koltcov S., 2014, P ACM C WEB SCI WEBS, P161
   Korotun I., 2021, CURRENT PROBLEMS ARC, V61, P94, DOI [10.32347/2077-3455.2021.61.94-106, DOI 10.32347/2077-3455.2021.61.94-106]
   Kua D., 2020, Chemical engineering transactions, V78, P241, DOI DOI 10.3303/CET2078041
   Kwak J, 2024, P I CIVIL ENG-MUNIC, V177, P64, DOI 10.1680/jmuen.23.00026
   Laurent O, 2014, LITHOS, V205, P208, DOI 10.1016/j.lithos.2014.06.012
   Lee S., 2021, URBAN FORM ACCESSIBI, P289, DOI [DOI 10.1016/B978-0-12-819822-3.00018-3, 10.1016/B978-0-12-819822-3.00018-3]
   Liberati A, 2009, BMJ-BRIT MED J, V339, DOI [10.1371/journal.pmed.1000097, 10.1136/bmj.b2535, 10.1136/bmj.b2700, 10.1186/2046-4053-4-1, 10.1016/j.ijsu.2010.02.007, 10.1136/bmj.i4086, 10.1016/j.ijsu.2010.07.299]
   Lima FT, 2023, ARCHITECTURE-BASEL, V3, P393, DOI 10.3390/architecture3030021
   Lima FT, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12081157
   Lyons T W., 2012, Fundamentals of Geobiology, P371, DOI [DOI 10.1002/9781118280874.CH20, 10.1002/9781118280874.ch20]
   Marchigiani E, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095468
   Molinaro D., 2023, 15 MINUTE CITY MODEL, P468, DOI [10.1007/978-3-031-37114-132, DOI 10.1007/978-3-031-37114-132]
   Montagner AF, 2014, J DENT RES, V93, P733, DOI 10.1177/0022034514538046
   Monteiro J, 2023, ISPRS INT J GEO-INF, V12, DOI 10.3390/ijgi12030120
   Moradi A, 2018, TECHNOL FORECAST SOC, V126, P231, DOI 10.1016/j.techfore.2017.09.002
   Moreno C., 2021, RESILIENCE PLACE IDE, V4, P93, DOI [10.3390/smartcities4010006, DOI 10.3390/SMARTCITIES4010006]
   Moreno C., 2024, The 15-minute city: A solution to saving our time and our planet
   Mouratidis K, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103229
   Nagendrababu V, 2020, INT ENDOD J, V53, P232, DOI 10.1111/iej.13217
   Nandwani P, 2021, SOC NETW ANAL MIN, V11, DOI 10.1007/s13278-021-00776-6
   Newman P, 2009, AUST PLAN, V46, P59, DOI 10.1080/07293682.2009.9995295
   Notman O., 2021, CONCEPT 15 MINUTE CI, V3, P73, DOI [10.7256/2310-8673.2021.3.35086, DOI 10.7256/2310-8673.2021.3.35086]
   Osman R, 2017, GEOFORUM, V85, P46, DOI 10.1016/j.geoforum.2017.07.013
   Page MJ, 2021, J CLIN EPIDEMIOL, V134, P178, DOI 10.1016/j.jclinepi.2021.03.001
   Pillans B, 2012, GEOLOGIC TIME SCALE 2012, VOLS 1 & 2, P979, DOI 10.1016/B978-0-444-59425-9.00030-5
   Pozoukidou G, 2022, SMART CITIES-BASEL, V5, P1356, DOI 10.3390/smartcities5040069
   Pozoukidou G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020928
   Qi YL, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0264552
   SEPKOSKI JJ, 1984, PALEOBIOLOGY, V10, P246, DOI 10.1017/S0094837300008186
   Sharifi A, 2016, SUSTAIN CITIES SOC, V20, P1, DOI 10.1016/j.scs.2015.09.002
   Sieverts T, 2017, DISP, V53, P99, DOI 10.1080/02513625.2017.1316576
   Tiboni M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041778
   Wang ZB, 2016, 2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA SCIENCE IN CYBERSPACE (DSC 2016), P98, DOI 10.1109/DSC.2016.110
   Yang J., 2023, HUMANITIES SOCIAL SC, V4, P63, DOI [10.56028/aehssr.4.1.63.2023, DOI 10.56028/AEHSSR.4.1.63.2023]
   Yue L, 2019, KNOWL INF SYST, V60, P617, DOI 10.1007/s10115-018-1236-4
   Zhang X., 2021, CITIES DRIVERLESS VE, DOI [10.1680/cdv.64522, DOI 10.1680/CDV.64522]
   Zhao H, 2021, PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021, P4713
NR 75
TC 1
Z9 1
U1 9
U2 9
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1226-5934
EI 2161-6779
J9 INT J URBAN SCI
JI Int. J. Urban Sci.
PD JAN 2
PY 2025
VL 29
IS 1
SI SI
BP 40
EP 69
DI 10.1080/12265934.2024.2445240
EA DEC 2024
PG 30
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA Y5M2V
UT WOS:001388682100001
DA 2025-04-22
ER

PT J
AU Ossola, A
   Lin, BB
AF Ossola, Alessandro
   Lin, Brenda B.
TI Making nature-based solutions climate-ready for the 50 °C world
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; Adaptation; Climate extremes; Urban resilience; Urban
   sustainability; Urban transformation
ID ECOSYSTEM SERVICES; STREET TREES; URBAN; ADAPTATION; GOVERNANCE;
   RESILIENCE; CHALLENGES; MANAGEMENT; AUSTRALIA; BARRIERS
AB Nature-Based Solutions (NBSs) promise a future where natural, human and technical elements help solving many of the issues plaguing cities. Pollution reduction, increased human wellbeing and climate change adaptation are only some of the challenges targeted by NBSs.
   However, under the warming climate affecting many of the world's cities, most of modern NBSs will be highly impacted by the same climate factors they hope to mitigate. As in the case of extreme temperatures or altered water availability, these factors can impact and cause the failure in the organisms, technical elements and governance structures that NBSs rely upon, thus decreasing performance, reliability and sustainability of these solutions.
   In this commentary we propose critical considerations related to designing, building and managing "climateready" NBSs-defined as local integrated solutions able to cope with or adapt to climate change. We do so by highlighting examples in heat- and drought-stricken areas across Australian cities as they sit at the global forefront of a hotter world. We discuss in detail i) tolerance and adaptability of NBS to new climates, ii) NBS design for weather extremes and climate-safety margins, iii) NBS trialing and prototyping, and iv) planning for "climate-ready" NBSs.
   In doing so, we highlight caveats and limitations to propose an implementation framework to make NBSs not only work, but succeed, in a hotter urban world; one that sees 50 degrees C as a critical limit to sustain urban life and nature.
C1 [Ossola, Alessandro] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Ossola, Alessandro] Univ Melbourne, Sch Ecosyst & Forest Sci, Burnley, Vic, Australia.
   [Ossola, Alessandro] Macquarie Univ, Dept Biol Sci, Sydney, NSW, Australia.
   [Lin, Brenda B.] CSIRO Land & Water, Dutton Pk, Qld 4102, Australia.
C3 University of California System; University of California Davis;
   University of Melbourne; Macquarie University; Commonwealth Scientific &
   Industrial Research Organisation (CSIRO)
RP Ossola, A (corresponding author), Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.; Ossola, A (corresponding author), Univ Melbourne, Sch Ecosyst & Forest Sci, Burnley, Vic, Australia.; Ossola, A (corresponding author), Macquarie Univ, Dept Biol Sci, Sydney, NSW, Australia.
EM aossola@ucdavis.edu; brenda.lin@csiro.au
RI Lin, Brenda/A-8834-2011; Ossola, Alessandro/D-1262-2012
OI Ossola, Alessandro/0000-0002-0507-6026; Lin, Brenda/0000-0002-6011-9172
CR Albert C, 2019, LANDSCAPE URBAN PLAN, V182, P12, DOI 10.1016/j.landurbplan.2018.10.003
   Alexander LV, 2017, WEATHER CLIM EXTREME, V15, P34, DOI 10.1016/j.wace.2017.02.001
   Allen JT, 2014, J CLIMATE, V27, P3848, DOI 10.1175/JCLI-D-13-00426.1
   Andersson E, 2019, BIOSCIENCE, V69, P566, DOI 10.1093/biosci/biz058
   Andersson E, 2016, ECOL INDIC, V70, P606, DOI 10.1016/j.ecolind.2016.02.030
   [Anonymous], 2005, Glob. Environ. Change B Environ. Hazard, DOI DOI 10.1016/J.HAZARDS.2004.12.002
   Aronson MFJ, 2017, FRONT ECOL ENVIRON, V15, P189, DOI 10.1002/fee.1480
   BOM, 2020, GREATER SYDNEY JANUA
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Burley H, 2019, SCI TOTAL ENVIRON, V685, P451, DOI 10.1016/j.scitotenv.2019.05.287
   Bush J, 2020, AUST PLAN, V56, P95, DOI 10.1080/07293682.2020.1739093
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Calliari E, 2019, SCI TOTAL ENVIRON, V656, P691, DOI 10.1016/j.scitotenv.2018.11.341
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   CohenShacham E., 2016, Nature-based Solutions to address global societal challenges, DOI 10.2305/iucn.ch.2016.13.en
   Colding J., 2003, NAVIGATING SOCIAL EC, P163, DOI [10.1017/CBO9780511541957.011, DOI 10.1017/CBO9780511541957.011]
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Diffenbaugh NS, 2019, P NATL ACAD SCI USA, V116, P9808, DOI 10.1073/pnas.1816020116
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   European Commission, 2015, FINAL REPORT HORIZON
   Freund M, 2017, CLIM PAST, V13, P1751, DOI 10.5194/cp-13-1751-2017
   Fritz M, 2017, THEOR PRACT URB SUST, P15, DOI 10.1007/978-3-319-56091-5_2
   Fritz M, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5_1
   GCA, 2019, GLOBAL COMMISSION AD
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Grey V, 2018, LANDSCAPE URBAN PLAN, V178, P122, DOI 10.1016/j.landurbplan.2018.06.002
   Gulsrud NM, 2018, ENVIRON RES, V161, P158, DOI 10.1016/j.envres.2017.11.005
   Haase A, 2020, LAND-BASEL, V9, P27
   Hobbie SE, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0124
   Jenerette GD, 2016, GLOBAL ECOL BIOGEOGR, V25, P1367, DOI 10.1111/geb.12499
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Keesstra S, 2018, SCI TOTAL ENVIRON, V610, P997, DOI 10.1016/j.scitotenv.2017.08.077
   Leishman M.L, LANDSCAPE URBAN PLAN, V209
   Lewis SC, 2017, GEOPHYS RES LETT, V44, P9947, DOI 10.1002/2017GL074612
   Li H, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015023
   Lundholm J, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009677
   Masi E, 2018, J ENVIRON MANAGE, V216, P275, DOI 10.1016/j.jenvman.2017.11.086
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   McPherson EG, 2018, URBAN FOR URBAN GREE, V29, P28, DOI 10.1016/j.ufug.2017.09.003
   Meineke E, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.1574
   Merrett, 2011, TREENET P 12 NATL ST, P43
   Mitchell JW, 2013, ENG FAIL ANAL, V35, P726, DOI 10.1016/j.engfailanal.2013.07.006
   Mukheibir P., 2014, What's getting in the way of a One Water approach to water services planning and management?
   Nelson R, 2008, ENVIRON SCI POLICY, V11, P588, DOI 10.1016/j.envsci.2008.06.005
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   Ossola A, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.620620
   Ossola A, 2020, GLOBAL ECOL BIOGEOGR, V29, P1907, DOI 10.1111/geb.13169
   Ossola A, 2018, SCI TOTAL ENVIRON, V639, P1164, DOI 10.1016/j.scitotenv.2018.05.237
   Ossola A, 2015, J ENVIRON MANAGE, V159, P1, DOI 10.1016/j.jenvman.2015.05.002
   Ozer S, 2008, ENVIRON MONIT ASSESS, V144, P191, DOI 10.1007/s10661-007-9978-6
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Ramage BS, 2013, APPL VEG SCI, V16, P8, DOI 10.1111/j.1654-109X.2012.01205.x
   Richards DR, 2017, ECOL INDIC, V77, P31, DOI 10.1016/j.ecolind.2017.01.028
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   Scott M, 2016, PLAN THEORY PRACT, V17, P267, DOI 10.1080/14649357.2016.1158907
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Sjöman H, 2016, URBAN FOR URBAN GREE, V18, P237, DOI 10.1016/j.ufug.2016.06.011
   State of Victoria,, 2015, CLIMATE READY VICTOR
   Tabassum S, 2020, ECOL ENG, V158, DOI 10.1016/j.ecoleng.2020.106049
   Tan P.Y, 2021, IN PRESS
   Threlfall CG, 2021, FRONT ECOL ENVIRON, V19, P225, DOI 10.1002/fee.2323
   Tillie N, 2016, ENVIRON SCI POLICY, V62, P139, DOI 10.1016/j.envsci.2016.04.016
   Vailshery LS, 2013, URBAN FOR URBAN GREE, V12, P408, DOI 10.1016/j.ufug.2013.03.002
   Vallati A, 2018, ENERG BUILDINGS, V174, P77, DOI 10.1016/j.enbuild.2018.06.037
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Yenneti K, 2020, CLIMATE, V8, DOI 10.3390/cli8110126
   Young T, 2014, URBAN FOR URBAN GREE, V13, P507, DOI 10.1016/j.ufug.2014.04.007
   Zölch T, 2017, ENVIRON RES, V157, P135, DOI 10.1016/j.envres.2017.05.023
NR 73
TC 28
Z9 30
U1 6
U2 51
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD SEP
PY 2021
VL 123
BP 151
EP 159
DI 10.1016/j.envsci.2021.05.026
EA MAY 2021
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SP7VN
UT WOS:000659872700016
DA 2025-04-22
ER

PT J
AU Scharf, N
   Wachtel, T
   Reddy, SE
   Säumel, I
AF Scharf, Nadine
   Wachtel, Thomas
   Reddy, Suhana E.
   Saeumel, Ina
TI Urban Commons for the Edible City-First Insights for Future Sustainable
   Urban Food Systems from Berlin, Germany
SO SUSTAINABILITY
LA English
DT Article
DE citizens engagement; cross-sectoral coordination; co-creation;
   sustainable urban development; urban agriculture; urban farming; urban
   gardening; urban transformation
ID TRANSFORMATION
AB Urban planning is facing multi-layered challenges to manage the transformation towards a more sustainable and inclusive society. The recently evolved concept of an "urban commons" responds to the crucial need to re-situate residents as key actors. Urban food commons summarize all initiatives that are food-related (e.g., cultivation, harvest, and distribution), aiming at a visualization and utilization of value chains and the commons-based linkage between them. We explored first insights of food commons in Berlin based on semi-structured, in-depth interviews. Urban food commons strengthen identification, participation, self-organization, and social resilience, are steered by bottom-up processes, and can be a powerful tool for a transformation towards urban sustainability. However, a viable political integration of existing initiatives lacks due to structural implementation problems. Respondents recommend a pooling of all initiatives in a strong network and a mediation interface to coordinate between food commons and city administration and politics. A combined approach of commons and edible cities will be helpful for the development of future prove food systems.
C1 [Scharf, Nadine] Lokale Agenda 21 Dresden eV, Schutzengasse 18, D-01067 Dresden, Germany.
   [Wachtel, Thomas; Reddy, Suhana E.; Saeumel, Ina] Humboldt Univ, Integrat Res Inst THESys Transformat Human Enviro, Linden 6, D-10099 Berlin, Germany.
   [Saeumel, Ina] Humboldt Univ, Fac Life Sci, Inst Agr & Hort Sci, Invalidenstr 42, D-10099 Berlin, Germany.
C3 Humboldt University of Berlin; Humboldt University of Berlin
RP Säumel, I (corresponding author), Humboldt Univ, Integrat Res Inst THESys Transformat Human Enviro, Linden 6, D-10099 Berlin, Germany.; Säumel, I (corresponding author), Humboldt Univ, Fac Life Sci, Inst Agr & Hort Sci, Invalidenstr 42, D-10099 Berlin, Germany.
EM nadine.scharf@posteo.de; thomas.wachtel@hu-berlin.de;
   suhana.reddy@hu-berlin.de; ina.saeumel@hu-berlin.de
OI Saumel, Ina/0000-0001-9099-8182
FU Bundesministerium fur Bildung und Forschung [01UH1606A]; European
   Commission [776665]; H2020 Societal Challenges Programme [776665]
   Funding Source: H2020 Societal Challenges Programme
FX This research received funding from the Bundesministerium fur Bildung
   und Forschung (Grant number 01UH1606A) and from the European Commission
   (Grant number 776665).
CR Bauwens M., 2017, Changing societies through urban commons transitions
   Bieniok M., 2015, URBAN COMMONS MOVING, P60
   BOLLIER DAVID., 2010, THE COMMONS: A NEGLECTED SECTOR OF WEALTH-CREATION
   Borch ChristianMartin Kornberger., 2015, URBAN COMMONS RETHIN, DOI 10.4324/9781315780597
   Commons Institute, COMM ENTST DURCH COM
   Dellenbaugh M., 2017, Urban Change Talk Newspaper, V3, P15
   Ernst L, 2016, J CLEAN PROD, V112, P2988, DOI 10.1016/j.jclepro.2015.10.136
   Euler J, 2018, ECOL ECON, V143, P10, DOI 10.1016/j.ecolecon.2017.06.020
   Ferguson F., 2014, MakeShift City: Renegotiating the Urban Commons
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Foster S., 2017, Ostrom in the City: Design Principles for the Urban Commons
   Goldstein B., 2017, THESIS
   Gorenflo N., 2017, SHARING CITIES ACTIV, P20
   Kip M., 2015, Urban Commons: Moving Beyond State and Market, P42
   Kratzwald B., 2015, URBAN COMMONS MOVING, P26, DOI [10.1515/9783038214953-002, DOI 10.1515/9783038214953-002]
   Mayring P., 2014, QUALITATIVE CONTENT, DOI DOI 10.4135/9781446282243.N12
   Mayring P., 2000, FOR QUAL SOZ QUAL SO, V1
   Moglia M, 2018, GLOBAL ENVIRON CHANG, V50, P222, DOI 10.1016/j.gloenvcha.2018.04.009
   Nohl A.-M., 2017, Interview und Dokumentarische Methode
   Rode P., 2011, Towards a Green Economy: Pathways to Sustainable Development and Poverty Eradication, P453
   Ryan F, 2009, INT J THER REHABIL, V16, P309, DOI 10.12968/ijtr.2009.16.6.42433
   Saumel I., SUSTAINABILITY
   Theaker IG, 2001, BUILD RES INF, V29, P394, DOI 10.1080/09613210110064295
   Viljoen A, 2012, SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE, P1, DOI 10.3920/978-8686-826-1
   Witzel A., 2000, Das problemzentrierte Interview
   Wolfram M, 2016, CURR OPIN ENV SUST, V22, P18, DOI 10.1016/j.cosust.2017.01.014
   Zhang XL, 2018, J CLEAN PROD, V173, P1, DOI 10.1016/j.jclepro.2017.10.345
NR 27
TC 28
Z9 29
U1 2
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB 2
PY 2019
VL 11
IS 4
AR 966
DI 10.3390/su11040966
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA HO3JV
UT WOS:000460819100026
OA gold
DA 2025-04-22
ER

PT J
AU Martin, W
   Vold, L
AF Martin, Wanda
   Vold, Lindsey
TI Building capacity through urban agriculture: report on the askiy project
SO HEALTH PROMOTION AND CHRONIC DISEASE PREVENTION IN CANADA-RESEARCH
   POLICY AND PRACTICE
LA English
DT Article
DE food security; urban agriculture; self-reliance; resilience; capacity
   building; social capital; social cohesion; sustainable livelihoods
   framework
ID RESILIENCE; EQUITY; HEALTH
AB Introduction: Many North American cities have a built environment that provides access to energy-dense food and little opportunity for active living. Urban agriculture contributes to a positive environment involving food plant cultivation that includes processing, storing, distributing and composting. It is a means to increase local food production and thereby improve community health. The purpose of this study was to understand how participating in urban agriculture can help to empower young adults and build capacity for growing food in the city.
   Methods: This was a qualitative study of seven participants (five Indigenous and two non-Indigenous) between the ages of 19 and 29 years, engaged as interns in an urban agriculture project known as "askiy" in Saskatoon, Saskatchewan, Canada in 2015. We used a case-study design and qualitative analysis to describe the participants' experience based on the sustainable livelihoods framework.
   Results: A collaborative approach had a great effect on the interns' experiences, notably the connections formed as they planned, planted, tended, harvested and sold the produce. Some of the interns changed their grocery shopping habits and began purchasing more vegetables and questioning where and how the vegetables were produced. All interns were eager to continue gardening next season, and some were planning to take their knowledge and skills back to their home reserves.
   Conclusion: Urban agriculture programs build capacity by providing skills beyond growing food. Such programs can increase local food production and improve food literacy skills, social relationships, physical activity and pride in community settings.
C1 [Martin, Wanda; Vold, Lindsey] Univ Saskatchewan, Coll Nursing, 104 Clin Pl, Saskatoon, SK S7N 2Z4, Canada.
C3 University of Saskatchewan
RP Martin, W (corresponding author), Univ Saskatchewan, Coll Nursing, 104 Clin Pl, Saskatoon, SK S7N 2Z4, Canada.
EM wanda.martin@usask.ca
RI Martin, Wanda/A-9458-2011
CR [Anonymous], 2014, HLTH CITIES PROMOTIN
   Barthel S, 2015, URBAN STUD, V52, P1321, DOI 10.1177/0042098012472744
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Blouin C., 2009, Local food systems and public policy: A review of the literature
   City of Saskatoon, 2013, STRAT PLAN 2013 2023
   City of Saskatoon, 2015, NEIGHB PROF RIV
   DFID, 1999, Sustainable Livelihoods Guidance Sheets, Section 2.1
   Forrest R, 2001, URBAN STUD, V38, P2125, DOI 10.1080/00420980120087081
   Gendron F, 2017, HEALTH PROMOT INT, V32, P808, DOI 10.1093/heapro/daw013
   Gottlieb R., 2010, FOOD JUSTICE
   Gray L, 2014, LOCAL ENVIRON, V19, P187, DOI 10.1080/13549839.2013.792048
   Greenberg M, 2002, AM J PUBLIC HEALTH, V92, P703, DOI 10.2105/AJPH.92.5.703
   Hansen Y., 2011, Food Sovereignty in Canada: Creating Just and Sustainable Food Systems, P151
   Kabisch N, 2015, ENVIRON IMPACT ASSES, V50, P25, DOI 10.1016/j.eiar.2014.08.007
   La Rosa D, 2014, LAND USE POLICY, V41, P290, DOI 10.1016/j.landusepol.2014.06.014
   Leake JR, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-S1-S6
   Lovell R, 2014, ENVIRON EVID, V3, DOI 10.1186/2047-2382-3-20
   MacRae R, 2010, J AGRIC FOOD SYST CO, V1, P105, DOI 10.5304/jafscd.2010.012.008
   Marmot M, 2008, LANCET, V372, P1661, DOI 10.1016/S0140-6736(08)61690-6
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Morschauser S, 2013, SWIFT TO WRATH: LYNCHING IN GLOBAL HISTORICAL PERSPECTIVE, P15
   Mougeot L.J., 2010, Agropolis: The Social, Political and Environmental Dimensions of Urban Agriculture
   Patton MQ, 1990, QUALITATIVE EVALUATI, DOI DOI 10.1002/NUR.4770140111
   Pimbert M, 2009, FOOD SOVEREIGNTY REC
   Saskatchewan Food Costing Task (SFCT) Group, 2012, COST HLTH EAT SASK 2
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Severight-Dumais K, 2015, URBAN AGR ASKIY PROJ
   Smit J., 1992, Environment and Urbanization, V4, P141, DOI 10.1177/095624789200400214
   Statistics Canada, 2015, CAN MEG CAN GOES URB
   Weiler AM, 2015, HEALTH POLICY PLANN, V30, P1078, DOI 10.1093/heapol/czu109
   Wittman H., 2011, FOOD SOVEREIGNTY CAN
   Yin R.K., 1984, CASE STUDY RES
NR 32
TC 9
Z9 9
U1 1
U2 44
PU PUBLIC HEALTH AGENCY CANADA
PI OTTAWA
PA 130 COLONNADE RD, ADDRESS LOCATOR 6501G, OTTAWA, ONTARIO K1A 0K9, CANADA
SN 2368-738X
J9 HEALTH PROMOT CHRON
JI Health Promot. Chronic Dis. Prev. Can.-Res. Policy Pract.
PD JAN
PY 2018
VL 38
IS 1
SI SI
BP 29
EP 35
DI 10.24095/hpcdp.38.1.06
PG 7
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health
GA FS9RH
UT WOS:000422755400006
PM 29323865
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Flentje, P
   Chowdhury, R
AF Flentje, Phil
   Chowdhury, Robin
TI Resilience and sustainability in the management of landslides
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING
   SUSTAINABILITY
LA English
DT Article
DE government; infrastructure planning; landslides
AB There are many regions worldwide which are susceptible to landslides, which cause loss of life and adverse impacts to infrastructure, environment and communities. Landslides are often triggered by exceptional rainfall and large-magnitude earthquakes. A range of strategies and methods have been developed to mitigate the occurrence of landslides and to reduce their impact, including risk to human safety. The adopted approaches and systems must be sustainable and resilient in relation to the communities that are at risk. This paper refers to an Australian regional case study of urban landslide management in the Wollongong region, New South Wales. The research carried out by the authors over two decades at the University of Wollongong has enhanced the resilience and sustainability of landslide management in the region. Reference is also made to Hong Kong as a case study of urban regional landslide practice, with particular reference to the upgrading of man-made slopes.
C1 [Flentje, Phil; Chowdhury, Robin] Univ Wollongong, Fac Engn & Informat Sci, Wollongong, NSW, Australia.
C3 University of Wollongong
RP Flentje, P (corresponding author), Univ Wollongong, Fac Engn & Informat Sci, Wollongong, NSW, Australia.
EM pflentje@uow.edu.au
RI Chowdhury, Robin/N-7569-2013; Flentje, Phil/N-4572-2013
OI Flentje, Phil/0000-0001-7184-6992; Chowdhury, Robin/0009-0004-6170-7517
CR Anderson MG, 2013, COMMUNITY-BASED LANDSLIDE RISK REDUCTION: MANAGING DISASTERS IN SMALL STEPS, P1, DOI 10.1596/978-0-8213-9456-4
   [Anonymous], 1993, C4.5 : programs for machine learning
   [Anonymous], 2012, How To Make Cities More Resilient: A Handbook For Local Government Leaders
   [Anonymous], 2007, Aust. Geomech, V42, P115
   Brand EW, 1982, P 7 SE AS GEOT C HON, V2, P27
   Cheng PFK, 2011, SPR12011 HONG KONG S
   Chigira M, 2010, GEOMORPHOLOGY, V118, P225, DOI 10.1016/j.geomorph.2010.01.003
   Choi KY, 2013, J ROCK MECH GEOTECH, V5, P354, DOI 10.1016/j.jrmge.2013.07.007
   Chowdhury R, 2010, GEOTECHNICAL SLOPE ANALYSIS, P1, DOI 10.1201/9780203864203
   Chowdhury R, 2012, J LIFE CYCLE RELIABI, V1, P27
   Fell R, 2008, ENG GEOL, V102, P99, DOI 10.1016/j.enggeo.2008.03.014
   FLENTJE P, 2009, LANDSLIDE INVENTORY
   Flentje P, 2012, P 11 INT 2 N AM S LA, P1
   Flentje P, 2010, GEOLOGICALLY ACTIVE, P1
   Flentje P, 2015, ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 2: LANDSLIDE PROCESSES, P2031, DOI 10.1007/978-3-319-09057-3_361
   Geer (Geotechnical Extreme Events Reconnaissance), 2015, GEER040
   GEO, 2007, ENG GEOL PRACT HONG
   GEO, 2011, GEOT MAN SLOP
   Geo, 2007, TECHN GUID LANDSC TR
   Gibson AD, 2009, ENG GEOL SPEC PUBL S, V22, P113, DOI 10.1144/EGSP22.8
   Hand D, 2000, CORONERS REPORT INQU
   Hungr O., 2007, The Proceedings of the 2007 International Forum on Landslide Disaster Management, VII, P755
   Kumar N., 2016, Time
   Lumb Peter., 1975, Quarterly Journal of Engineering Geology, V8, P21, DOI [10.1144/GSL.QJEG.1975.008.01.02, DOI 10.1144/GSL.QJEG.1975.008.01.02]
   Palamakumbure D, 2015, THESIS
   Palamakumbure D, 2015, CHANG FAC EARTH GEOM, P1
   Palamakumbure D, 2015, ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 2: LANDSLIDE PROCESSES, P1191, DOI 10.1007/978-3-319-09057-3_208
   Petley D., 2006, FRONTIERS SCI SERIES, V47, P47
   Petley D, 2012, GEOLOGY, V40, P927, DOI 10.1130/G33217.1
   Simpson W, 1999, LONG TERM PLANNING M
   Tobin P.R., 2012, AUST GEOMECH J, V42, P53
   WEF, 2015, BUILD RES NEP PUBL P
   Wong H.N., 2005, Landslide Risk Management, P237
NR 33
TC 17
Z9 17
U1 3
U2 36
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 1478-4629
EI 1751-7680
J9 P I CIVIL ENG-ENG SU
JI Proc. Inst. Civ. Eng.-Eng. Sustain.
PD FEB
PY 2018
VL 171
IS 1
BP 3
EP 14
DI 10.1680/jensu.16.00045
PG 12
WC Green & Sustainable Science & Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering
GA FT0YX
UT WOS:000422858400002
OA Bronze, Green Published
DA 2025-04-22
ER

PT J
AU Masalvad, SK
   Patil, C
   Vardhan, AR
   Yadav, A
   Lavanya, B
   Sakare, PK
AF Masalvad, Shravan Kumar
   Patil, Chidanand
   Vardhan, Akkinepally Rithwik
   Yadav, Anamika
   Lavanya, Bukke
   Sakare, Praveen Kumar
TI Predicting land use changes and ecosystem service impacts with CA-Markov
   and machine learning techniques
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article; Early Access
DE LULCC; Ecosystem services; Machine learning; CA Markov chain; Kappa
   coefficient
ID USE/LAND COVER CHANGE
AB Urban ecosystem services play a vital role in increasing resilience against environmental challenges, providing human well-being benefits, and conserving biodiversity within rapidly urbanizing areas. This study investigates land use and land cover (LULC) changes across three districts in Telangana -Medchal-Malkajgiri, Warangal, and Ranga Reddy-over the past several decades, specifically their effects on ecosystem service values (ESV). Utilizing the Benefit Transfer Methodology, we assessed the effects of urban expansion on ESV by measuring significant increases in built-up areas that have replaced natural landscapes. This transformation has resulted in decreased capacity to provide essential ecosystem services such as climate regulation, water quality regulation and biodiversit & Aring;y conservation. Water bodies emerged as key contributors to ecosystem services provision-emphasizing their significance for urban resilience. Medchal-Malkajgiri, Warangal and Ranga Reddy districts in Telangana are experiencing rapid urbanization as a result of Hyderabad's expansion and rapid infrastructure development. This transformation of agricultural lands into urbanized spaces threatens ecosystem services such as water resources and biodiversity while jeopardizing long-term environmental sustainability-this study evaluates these effects and offers essential insight for planning sustainable urban environments. Our results reveal a responsive relationship between ecosystem services (ESV) and land use change (LULC), such that changes to land use directly impact ecosystem service availability and quality. Our findings offer actionable insights to policymakers by emphasizing the necessity for urban planning strategies which prioritize ecosystem preservation alongside development to foster sustainable urban growth.
C1 [Masalvad, Shravan Kumar; Vardhan, Akkinepally Rithwik; Lavanya, Bukke] Sreenidhi Inst Sci & Technol Hyderabad, Civil Engn Dept, Hyderabad 501301, Telangana, India.
   [Patil, Chidanand] Dr MS Sheshgiri Coll Engn & Technol, Civil Engn Dept, Belagavi 590008, Karnataka, India.
   [Yadav, Anamika] Indian Inst Technol, Gauhati 788011, Assam, India.
   [Sakare, Praveen Kumar] Shri Dharmasthala Manjunatheshwara Coll Engn & Tec, Civil Engn Dept, Dharwad 580002, Karnataka, India.
C3 Sreenidhi Institute of Science & Technology; Indian Institute of
   Technology System (IIT System); Indian Institute of Technology (IIT) -
   Guwahati
RP Masalvad, SK (corresponding author), Sreenidhi Inst Sci & Technol Hyderabad, Civil Engn Dept, Hyderabad 501301, Telangana, India.
EM Shravankumar.s@sreenidhi.edu.in
RI patil, chidanand/AAU-2683-2021; Masalvad, SHRAVAN KUMAR/KOD-7063-2024
OI S M, SHRAVAN KUMAR/0000-0002-4492-9618; Akkinepally, Rithwik
   Vardhan/0009-0000-4909-2979
CR Adla K., 2022, One Health, P281, DOI [DOI 10.1016/B978-0-12-822794-7.00008-3, 10.1016/B978-0-12-822794-7.00008]
   Amato F, 2015, ECOL INFORM, V30, P365, DOI 10.1016/j.ecoinf.2015.07.004
   Apan A, 2017, APPL GEOGR, V81, P32, DOI 10.1016/j.apgeog.2017.02.007
   Azzari G, 2017, REMOTE SENS ENVIRON, V202, P64, DOI 10.1016/j.rse.2017.05.025
   Bharath A, 2023, DISCRETE DYN NAT SOC, V2023, DOI 10.1155/2023/8077644
   Blaschke T, 2014, ISPRS J PHOTOGRAMM, V87, P180, DOI 10.1016/j.isprsjprs.2013.09.014
   Chervonenkis AY, 2013, Empirical Inference, P13, DOI [DOI 10.1007/978-3-642-41136-6_3, 10.1007/978-3-642-41136-6, DOI 10.1007/978-3-642-41136-6, DOI 10.1007/978-3-642-41136-63/COVER]
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   de Groot R, 2012, ECOSYST SERV, V1, P50, DOI 10.1016/j.ecoser.2012.07.005
   Deep S, 2014, EGYPT J REMOTE SENS, V17, P179, DOI 10.1016/j.ejrs.2014.07.001
   Dotterweich M, 2013, GEOMORPHOLOGY, V201, P1, DOI 10.1016/j.geomorph.2013.07.021
   Edosa BT., 2024, Environmental Challenges, V14, P100830, DOI [DOI 10.1016/J.ENVC.2023.100830, 10.1016/J.ENVC.2023.100830]
   Estoque RC, 2012, APPL GEOGR, V35, P316, DOI 10.1016/j.apgeog.2012.08.006
   Fan FL, 2008, ENVIRON MONIT ASSESS, V137, P127, DOI 10.1007/s10661-007-9734-y
   Ghosh Pramit, 2017, Remote Sensing Applications: Society and Environment, V5, P64, DOI 10.1016/j.rsase.2017.01.005
   Gomez-Baggethun Erik, 2013, P175
   Hu HB, 2008, ENVIRON MONIT ASSESS, V146, P147, DOI 10.1007/s10661-007-0067-7
   indiatoday, India Today
   Kafy A-A., 2021, Environ Chall, V4, P100084, DOI [10.1016/j.envc.2021.100084, DOI 10.1016/J.ENVC.2021.100084]
   Ku CA, 2016, APPL GEOGR, V69, P1, DOI 10.1016/j.apgeog.2016.02.005
   Lahon D, 2023, ISPRS INT J GEO-INF, V12, DOI 10.3390/ijgi12040165
   Lilienfeld E, 2018, NURS OUTLOOK, V66, P482, DOI 10.1016/j.outlook.2018.06.010
   Liu Y, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09863-1
   Mariye M, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2023.e23380
   Masalvad SS, 2024, ENVIRON DEV SUSTAIN, V26, P24817, DOI 10.1007/s10668-023-03657-4
   Mishra VN, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-015-2138-3
   Mondal MS, 2016, EGYPT J REMOTE SENS, V19, P259, DOI 10.1016/j.ejrs.2016.08.001
   Ogbodo US, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15143588
   Osuna E, 1997, PROC CVPR IEEE, P130, DOI 10.1109/CVPR.1997.609310
   Padma S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142416373
   Silva LPE, 2020, GLOB ECOL CONSERV, V21, DOI 10.1016/j.gecco.2019.e00811
   Pereira P, 2023, Environ. Chall., DOI [10.1016/j.envc.2023.100792, DOI 10.1016/J.ENVC.2023.100792]
   Pontius RG, 2011, INT J REMOTE SENS, V32, P4407, DOI 10.1080/01431161.2011.552923
   Rahman A, 2012, J INDIAN SOC REMOTE, V40, P689, DOI 10.1007/s12524-011-0165-4
   Ranganathan J., 2008, ECOSYSTEM SERVICES G
   Shade C, 2019, LAND-BASEL, V8, DOI 10.3390/land8020028
   Song XP, 2018, ECOL ECON, V143, P227, DOI 10.1016/j.ecolecon.2017.07.019
   Tiandraza Flaubert, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20043060
   Tolessa T, 2017, ECOSYST SERV, V23, P47, DOI [10.1080/14728028.2016.1221780, 10.1016/j.ecoser.2016.11.010]
   Vapnik V.N., 1995, NATURE STAT LEARNING, V2nd ed.
   Vapnik VN, 1999, IEEE T NEURAL NETWOR, V10, P988, DOI 10.1109/72.788640
   Vasseur L, 2017, AMBIO, V46, P731, DOI 10.1007/s13280-017-0918-6
   Wang QZ, 2021, ECOL INDIC, V122, DOI 10.1016/j.ecolind.2020.107231
   Xie L, 2022, ECOL INDIC, V138, DOI 10.1016/j.ecolind.2022.108828
   Zhang D, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106841
   Zhang X, 2021, EARTH SYST SCI DATA, V13, P2753, DOI 10.5194/essd-13-2753-2021
   Zhao XJ, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0240272
NR 48
TC 0
Z9 0
U1 13
U2 13
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
J9 ENVIRON DEV SUSTAIN
JI Environ. Dev. Sustain.
PD 2025 FEB 5
PY 2025
DI 10.1007/s10668-025-06017-6
EA FEB 2025
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA U6G5O
UT WOS:001412755600001
DA 2025-04-22
ER

PT J
AU Ganis, M
   Minnery, J
   Mateo-Babiano, I
AF Ganis, Mary
   Minnery, John
   Mateo-Babiano, Iderlina
TI Planning people-places: A small world network paradigm for
   masterplanning with people in mind
SO ENVIRONMENT AND PLANNING B-PLANNING & DESIGN
LA English
DT Article
DE Self-organization; placemaking; small world network theory; conceived
   space; perceived space; adaptive space
ID DYNAMICS; SYSTEMS
AB The research is about planning urban places in a way that is relevant to the changing people-place phenomenon. In particular, the masterplanning of large-scale inner city redevelopment sites are discussed because such places have higher concentrations of people and are where change is most rapid and profound. Complexity theory of cities (CTC) potentially offers an adaptive and resilient masterplanning paradigm for urban change. However, some CTC simulation models of urban change have been criticized because they are devoid of the input of human cognition and perception. This research examines human cognition and perception of place and its role in masterplanning from a tripartite perspective of placemaking: conceived space; perceived space; and adaptive space. The case study area for the research is South Bank, a 42-hectare inner city redevelopment site in Brisbane, Australia.
C1 [Ganis, Mary] Univ Queensland, Brisbane, Qld 4072, Australia.
   [Minnery, John] Univ Queensland, Urban & Housing Policy, Brisbane, Qld 4072, Australia.
   [Mateo-Babiano, Iderlina] Univ Queensland, Sch Geog Planning & Environm Management, Planning, Brisbane, Qld 4072, Australia.
C3 University of Queensland; University of Queensland; University of
   Queensland
RP Ganis, M (corresponding author), Univ Queensland, Sch Geog Planning & Environm Management, St Lucia, Qld 4072, Australia.
EM mary.ganis@uq.edu.au
RI Mateo-Babiano, Iderlina/B-1027-2012
OI Mateo-Babiano, Iderlina/0000-0001-9097-2126
CR ALEXAND ER, 1965, Architectural Forum, V122, P58
   [Anonymous], COMMUNITIES NETWORK
   [Anonymous], SIAM NEWS
   [Anonymous], PSYCHOMETRIKA
   [Anonymous], 2013, NEW SCI CITIES
   [Anonymous], 1983, FRACTAL GEOMETRY NAT
   [Anonymous], 131 CASA
   [Anonymous], D WATTS 6 DEGREES
   [Anonymous], 1997, AM J PHYS, DOI DOI 10.1119/1.18610
   [Anonymous], REMEMBRANCE PLACE
   [Anonymous], THESIS
   [Anonymous], 2018, The formula: The universal laws of success
   Barabási AL, 1999, SCIENCE, V286, P509, DOI 10.1126/science.286.5439.509
   Batty M., 2007, Cities and complexity: Understanding cities with cellular automata, agentbased models, and fractals
   Batty M., 1994, FRACTAL CITIES GEOME
   Berkowitz S.D., 1982, INTRO STRUCTURAL ANA
   Brewer WF, 2001, PHILOS SCI, V68, pS176, DOI 10.1086/392907
   Casey E.S., 2000, REMEMBERING PHENOMEN, VSecond
   Casey EdwardS., 1997, The Fate of Place: A Philosophical History
   Crossley N, 2008, SOCIOLOGY, V42, P261, DOI 10.1177/0038038507087353
   Dorogovtsev SN, 2002, ADV PHYS, V51, P1079, DOI 10.1080/00018730110112519
   Elden S., 2004, Understanding Henri Lefebvre : theory and the possible
   ERDOS P, 1960, B INT STATIST INST, V38, P343
   Foss SK, 2005, LEA COMMUN SER, P141
   Ganis M., 2015, Planning Urban Places: Self-Organising Places with People in Mind
   Gibson J.J., 2002, Vision and Mind: Selected Readings in the Philosophy of Perception
   Granovetter M., 1983, SOCIOLOGICAL THEORY, V1, P201, DOI DOI 10.2307/202051
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Gregory R. L., 1987, OXFORD COMPANION MIN, DOI 10.1007/978-1-4939-2236-9_11
   Kleinberg JM, 2000, NATURE, V406, P845, DOI 10.1038/35022643
   Kleinfeld JudithS., 2002, SOCIETY
   Kleinfield J.S., 2002, Psychology Today, V35, P74
   KORTE C, 1970, J PERS SOC PSYCHOL, V15, P101, DOI 10.1037/h0029198
   Lefebvre Henri, 1991, The Production of Space
   Lopez Jose., 2000, SOCIAL STRUCTURE
   Lynch K., 1981, Theory of good city form
   Marshall S, 2009, Cities design and evolution
   Merrifield Andrew., 2006, Henri Lefebvre: A Critical Introduction
   MILGRAM S, 1967, PSYCHOL TODAY, V1, P61
   Neisser Ulric, 1976, COGNITION REALITY PR
   Noe A., 2002, Vision and Mind: Selected Readings in the Philosophy of Perception
   Olson LesterC., 2008, Visual Rhetoric: A Reader in Communication and American Culture
   Ott B.L., 2009, SAGE HDB RHETORICAL, P391
   Pastor-Satorras R, 2001, PHYS REV LETT, V86, P3200, DOI 10.1103/PhysRevLett.86.3200
   Piaget J., 1969, The psychology of the child
   POOL ID, 1978, SOC NETWORKS, V1, P5, DOI 10.1016/0378-8733(78)90011-4
   Portugali J.)., 1996, The construction of cognitive maps, V32
   Portugali Juval, 2012, Complexity Theories of Cities Have Come of Age: An Overview with Implications to Urban Planning and Design, P47
   Schacter D, 2011, Psychology
   Schnettler S, 2009, SOC NETWORKS, V31, P165, DOI 10.1016/j.socnet.2008.12.004
   Shields R., 1999, LEFEBVRE LOVE STRUGG
   Tacca MC, 2011, FRONT PSYCHOL, V2, DOI 10.3389/fpsyg.2011.00358
   Taylor N., 1998, URBAN PLANNING THEOR
   Tesch R., 1990, QUAL RES
   TRAVERS J, 1969, SOCIOMETRY, V32, P425, DOI 10.2307/2786545
   Trochim W.M. K., 1989, INTRO CONCEPT MAPPIN
   Van Assche K, 2008, PLAN THEOR, V7, P263, DOI 10.1177/1473095208094824
   Wasserman S., 1994, SOCIAL NETWORK ANAL
   Watts DJ, 1999, AM J SOCIOL, V105, P493, DOI 10.1086/210318
   Watts DJ, 2004, ANNU REV SOCIOL, V30, P243, DOI 10.1146/annurev.soc.30.020404.104342
   Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
NR 61
TC 6
Z9 8
U1 1
U2 27
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0265-8135
EI 1472-3417
J9 ENVIRON PLANN B
JI Environ. Plan. B-Plan. Des.
PD NOV
PY 2016
VL 43
IS 6
BP 1075
EP 1095
DI 10.1177/0265813515602260
PG 21
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EA9ZB
UT WOS:000387002100007
DA 2025-04-22
ER

PT J
AU Elmqvist, T
   Setälä, H
   Handel, SN
   van der Ploeg, S
   Aronson, J
   Blignaut, JN
   Gómez-Baggethun, E
   Nowak, DJ
   Kronenberg, J
   de Groot, R
AF Elmqvist, T.
   Setala, H.
   Handel, S. N.
   van der Ploeg, S.
   Aronson, J.
   Blignaut, J. N.
   Gomez-Baggethun, E.
   Nowak, D. J.
   Kronenberg, J.
   de Groot, R.
TI Benefits of restoring ecosystem services in urban areas
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID GREEN SPACE; AIR-POLLUTION; HUMAN HEALTH; ENVIRONMENT; ECOLOGY;
   URBANIZATION; LANDSCAPES; COMPLEXITY; VALUATION; FRAMEWORK
AB Cities are a key nexus of the relationship between people and nature and are huge centers of demand for ecosystem services and also generate extremely large environmental impacts. Current projections of rapid expansion of urban areas present fundamental challenges and also opportunities to design more livable, healthy and resilient cities (e.g. adaptation to climate change effects). We present the results of an analysis of benefits of ecosystem services in urban areas. Empirical analyses included estimates of monetary benefits from urban ecosystem services based on data from 25 urban areas in the USA, Canada, and China. Our results show that investing in ecological infrastructure in cities, and the ecological restoration and rehabilitation of ecosystems such as rivers, lakes, and woodlands occurring in urban areas, may not only be ecologically and socially desirable, but also quite often, economically advantageous, even based on the most traditional economic approaches.
C1 [Elmqvist, T.] Stockholm Univ, Stockholm Resilience Ctr, SE-10691 Stockholm, Sweden.
   [Setala, H.] Univ Helsinki, Dept Environm Sci, FIN-15140 Lahti, Finland.
   [Handel, S. N.] Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ 08901 USA.
   [van der Ploeg, S.; de Groot, R.] Wageningen Univ, Environm Syst Anal Grp, NL-6700 AA Wageningen, Netherlands.
   [Aronson, J.] CEFE, UMR 5175, F-34293 Montpellier, France.
   [Aronson, J.] Missouri Bot Garden, St Louis, MO 63110 USA.
   [Blignaut, J. N.] Univ Pretoria, Dept Econ, ZA-0002 Pretoria, South Africa.
   [Gomez-Baggethun, E.] Norwegian Inst Nat Res NINA, N-0349 Oslo, Norway.
   [Gomez-Baggethun, E.] Autonomous Univ Barcelona, Inst Environm Sci & Technol ICTA, Barcelona, Spain.
   [Nowak, D. J.] SUNY ESF, USDA Forest Serv, Syracuse, NY 13210 USA.
   [Kronenberg, J.] Univ Lodz, Fac Econ & Sociol, PL-90255 Lodz, Poland.
C3 Stockholm University; University of Helsinki; Rutgers University System;
   Rutgers University New Brunswick; Wageningen University & Research;
   Centre National de la Recherche Scientifique (CNRS); CNRS - Institute of
   Ecology & Environment (INEE); Universite PSL; Ecole Pratique des Hautes
   Etudes (EPHE); Institut Agro; Montpellier SupAgro; CIRAD; Institut de
   Recherche pour le Developpement (IRD); Universite Paul-Valery;
   Universite de Montpellier; Missouri Botanical Gardens; University of
   Pretoria; Norwegian Institute Nature Research; Autonomous University of
   Barcelona; United States Department of Agriculture (USDA); United States
   Forest Service; State University of New York (SUNY) System; State
   University of New York (SUNY) College of Environmental Science &
   Forestry; University of Lodz
RP Elmqvist, T (corresponding author), Stockholm Univ, Stockholm Resilience Ctr, SE-10691 Stockholm, Sweden.
EM thomas.elmqvist@su.se
RI Gomez-Baggethun, Erik/LSL-9726-2024; Elmqvist, Thomas/AAY-6344-2021;
   Kronenberg, Jakub/ABD-9941-2021; de Groot, Rudolf/C-8666-2014; Setälä,
   Heikki/P-7354-2015; Blignaut, James/U-1755-2017
OI Blignaut, James/0000-0001-7059-9010; Kronenberg,
   Jakub/0000-0003-4903-2401; Elmqvist, Thomas/0000-0002-4617-6197; Setala,
   Heikki Martti/0000-0002-5230-4001
FU Formas and Biodiversa through the URBES project; GREEN SURGE, EU FP7
   collaborative project [FP7-ENV.2013.6.2-5-603567]
FX We thank the TEEB team and team leader Pavan Sukhdev for inspiring
   discussions and crucial views. This study has been possible through
   support to T. Elmqvist from Formas and Biodiversa through the URBES
   project and to T. Elmqvist and J. Kronenberg by GREEN SURGE, EU FP7
   collaborative project, FP7-ENV.2013.6.2-5-603567.
CR Akbari H, 2002, ENVIRON POLLUT, V116, pS119, DOI 10.1016/S0269-7491(01)00264-0
   Alcock I, 2014, ENVIRON SCI TECHNOL, V48, P1247, DOI 10.1021/es403688w
   Altieri M. A., 1999, Agriculture and Human Values, V16, P131, DOI 10.1023/A:1007545304561
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   [Anonymous], 2013, Urbanization, biodiversity and ecosystem services: challenges and opportunities
   [Anonymous], 2006, WALTON ASSESSING URB
   [Anonymous], 1998, J ARBORIC
   [Anonymous], 1998, J ARBORICULTURE
   [Anonymous], 1999, CARBON DIOXIDE REDUC
   [Anonymous], URBAN BIODIVERSITY D
   [Anonymous], 2007, ASSESSING URBAN FORE
   [Anonymous], 2005, Current State and Trends: Findings of the Condition and Trends Working Group
   [Anonymous], 2011, [No title captured]
   Baró F, 2014, AMBIO, V43, P466, DOI 10.1007/s13280-014-0507-x
   Bird W., 2007, Natural Thinking: Investigating the links between the Natural Environment, Biodiversity and Health, V1st
   Brander LM, 2011, J ENVIRON MANAGE, V92, P2763, DOI 10.1016/j.jenvman.2011.06.019
   Casado-Arzuaga I, 2014, LANDSCAPE ECOL, V29, P1393, DOI 10.1007/s10980-013-9945-2
   CBD, 2011, WAYS MEANS SUPP EC R
   De Groot RS, 2013, CONSERV BIOL, V27, P1286, DOI 10.1111/cobi.12158
   Dobbs C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113000
   Douglas I, 2012, CURR OPIN ENV SUST, V4, P385, DOI 10.1016/j.cosust.2012.07.005
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   Escobedo FJ, 2009, LANDSCAPE URBAN PLAN, V90, P102, DOI 10.1016/j.landurbplan.2008.10.021
   Fuller RA, 2007, BIOLOGY LETT, V3, P390, DOI 10.1098/rsbl.2007.0149
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Gomez-Baggethun Erik, 2013, P175
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Gómez-Baggethun E, 2011, PROG PHYS GEOG, V35, P613, DOI 10.1177/0309133311421708
   Groning G., 1994, Horticulture in Human life, Culture and Environment, V391, P53
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Harris J, 2009, SCIENCE, V325, P573, DOI 10.1126/science.1172975
   Hodson Mike., 2010, CITY, V14, P298, DOI DOI 10.1080/13604813.2010.482277
   Hubacek K, 2013, LANDSCAPE URBAN PLAN, V109, P1, DOI 10.1016/j.landurbplan.2012.10.010
   Jim CY, 2009, CITIES, V26, P187, DOI 10.1016/j.cities.2009.03.003
   Kates RW, 2003, ENVIRONMENT, V45, P12, DOI 10.1080/00139150309604534
   Kaye JP, 2006, TRENDS ECOL EVOL, V21, P192, DOI 10.1016/j.tree.2005.12.006
   Kazmierczak A, 2013, LANDSCAPE URBAN PLAN, V109, P31, DOI 10.1016/j.landurbplan.2012.05.007
   Korpela KM, 2007, HEALTH PLACE, V13, P138, DOI 10.1016/j.healthplace.2005.11.002
   Kroeger T, 2014, P NATL ACAD SCI USA, V111, pE4204, DOI 10.1073/pnas.1409785111
   Kronenberg J, 2015, EC SERVICES IN PRESS
   Lee J, 2009, SCAND J FOREST RES, V24, P227, DOI 10.1080/02827580902903341
   Maas J, 2006, J EPIDEMIOL COMMUN H, V60, P587, DOI 10.1136/jech.2005.043125
   Maas J, 2009, ENVIRON PLANN A, V41, P1763, DOI 10.1068/a4196
   Maxwell D, 1999, WORLD DEV, V27, P1939, DOI 10.1016/S0305-750X(99)00101-1
   McGranahan G., 2005, MILLENNIUM ECOSYSTEM, V1, P795
   McKinney M. L., 2008, Urban Ecosystems, V11, P161, DOI 10.1007/s11252-007-0045-4
   McNeely J.A., 2009, Conserving and valuing ecosystem services and biodiversity: economic, institutional and social challenges
   McPherson E. G., 1999, Journal of Arboriculture, V25, P235
   Melles S, 2003, CONSERV ECOL, V7
   Mitchell R, 2008, LANCET, V372, P1655, DOI 10.1016/S0140-6736(08)61689-X
   Moreno-Mateos D, 2012, PLOS BIOL, V10, DOI 10.1371/journal.pbio.1001247
   Nicholson-Lord D., 2003, Green cities: and why we need them
   Nowak D.J., 2012, Assessing urban forest effects and values: Morgantown's urban forest
   Nowak D.J., 2010, Assessing urban forest effects and values, Chicago's urban forest
   Nowak D.J., 2011, ASSESSING URBAN FORE
   Nowak DavidJ., 2013, Assessing urban forest effects and values: Toronto's urban forest
   Nowak DJ, 2013, URBAN ECOSYST
   Nowak DJ, 2007, MONITORING URBAN F 2
   Nowak DJ, 2007, URBAN FOREST ASSESSM
   Nowak DJ., 2012, Urban forests of Tennessee, 2009
   Nowak DJ, 2007, URBAN FORESTS WISCON
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Pickett STA, 2008, BIOSCIENCE, V58, P139, DOI 10.1641/B580208
   Benayas JMR, 2009, SCIENCE, V325, P1121, DOI 10.1126/science.1172460
   Scott K.I., 1998, ARBORIC J, V24, P224
   Setälä H, 2013, ENVIRON POLLUT, V183, P104, DOI 10.1016/j.envpol.2012.11.010
   Society for Ecological Restoration International Science Policy Working, 2004, SER INT PRIM EC REST
   Solecki William, 2013, P485
   Solecki W, 2013, ENVIRONMENT, V55, P12, DOI 10.1080/00139157.2013.748387
   Takano T, 2002, J EPIDEMIOL COMMUN H, V56, P913, DOI 10.1136/jech.56.12.913
   Tidball KG, 2014, GREEN RED ZON
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   ULRICH RS, 1984, SCIENCE, V224, P420, DOI 10.1126/science.6143402
   US EPA, 2009, EC REV TURN CONT PRO
   van den Berg AE, 2010, SOC SCI MED, V70, P1203, DOI 10.1016/j.socscimed.2010.01.002
   Vauramo S, 2010, LANDSCAPE URBAN PLAN, V97, P1, DOI 10.1016/j.landurbplan.2010.04.004
   von Döhren P, 2015, ECOL INDIC, V52, P490, DOI 10.1016/j.ecolind.2014.12.027
   Vos PEJ, 2013, ENVIRON POLLUT, V183, P113, DOI 10.1016/j.envpol.2012.10.021
   White MP, 2013, PSYCHOL SCI, V24, P920, DOI 10.1177/0956797612464659
   Xiao Qingfu, 1998, Journal of Arboriculture, V24, P235
NR 81
TC 496
Z9 591
U1 35
U2 525
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD JUN
PY 2015
VL 14
BP 101
EP 108
DI 10.1016/j.cosust.2015.05.001
PG 8
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA CY3SP
UT WOS:000366330500013
OA hybrid, Green Published, Green Submitted
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Wegerif, MCA
   Martucci, R
AF Wegerif, Marc C. A.
   Martucci, Rosanna
TI Milk and the city: Raw milk challenging the value claims of value chains
SO AGROECOLOGY AND SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE Dairy; symbiotic food system; value chains; territorial markets;
   small-scale farmers; human economy; development; food security; nested
   markets
ID NESTED MARKETS; TANGA REGION; FOOD; AGROECOLOGY; CONSUMPTION; CULTURES
AB This article assesses two models of dairy production and distribution to the large city of Dar es Salaam. One is urban and peri-urban raw milk production through territorial markets and the symbiotic food system and the other a dairy value chain intervention. The raw milk system is remarkably resilient and gives lower prices to milk drinkers and better returns to small-scale farmers. The value chain intervention provides opportunities for some dairy farmers but can?t compete and favors corporate entities less aligned with most farmers? and city residents? interests. Policy maker?s preference for value chain interventions appears to be ideological as it is not justified by the outcomes, but support for alternatives is growing and needs to be built on.
C1 [Wegerif, Marc C. A.; Martucci, Rosanna] Univ Pretoria, Human Econ Programme, Tshwane, South Africa.
C3 University of Pretoria
RP Wegerif, MCA (corresponding author), Univ Pretoria, Human Econ Programme, Tshwane, South Africa.
EM marcwegerif@gmail.com
RI Wegerif, Marc/AAK-6355-2020
OI Wegerif, Marc/0000-0003-1476-0353
CR AECF, 2011, TANG FRESH ONL
   [Anonymous], 2001, DEV SOCIOLOGY ACTOR
   [Anonymous], 2001, A Handbook for Value Chain Research, DOI DOI 10.1093/jeg/lbn003
   [Anonymous], 2013, 2012 POP HOUS CENS
   [Anonymous], 2016, A few words about us
   Arce Alberto., 2000, ANTHR DEV MODERNITIE, P1
   Bakresha Group Ltd, 2013, AZ DAIR PROD
   Beckert J, 2009, THEOR SOC, V38, P245, DOI 10.1007/s11186-008-9082-0
   Begovic F., 2016, NETWORKING BETTER VA
   Benson J., 2012, Natural News
   Brasch S., 2014, Raw Milk Vending Machines Take Over Europe
   Bryman A., 2021, Social research methods
   Care, 2015, SUST DAIR VAL CHAINS
   Centers for Disease Control and Prevention, FOOD SAF RAW MILK
   CFS, 2016, CONN SMALLH MARK REC
   Cook I, 2004, ANTIPODE, V36, P642, DOI 10.1111/j.1467-8330.2004.00441.x
   Cook I, 2006, PROG HUM GEOG, V30, P655, DOI 10.1177/0309132506070183
   De Schutter O., 2014, Final report: The transformative potential of the right to food
   DoB Equity, 2018, OUR APPR
   Dolan CS, 2001, IDS BULL-I DEV STUD, V32, P94, DOI 10.1111/j.1759-5436.2001.mp32003010.x
   FAO, 1998, MILK PROC GUID SER, V2
   Forster T., 2016, Right to Food and Nutrition Watch, P36
   Francis C, 2003, J SUSTAIN AGR, V22, P99, DOI 10.1300/J064v22n03_10
   Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805
   Gereffi G, 2001, IDS BULL-I DEV STUD, V32, P1, DOI 10.1111/j.1759-5436.2001.mp32003001.x
   Gliessman S, 2018, AGROECOL SUST FOOD, V42, P599, DOI 10.1080/21683565.2018.1432329
   GRANOVETTER M, 1985, AM J SOCIOL, V91, P481, DOI 10.1086/228311
   Hart K., 2015, Economy For and Against Democracy
   Hebinck P, 2015, ROUTL ISS STUD RURAL, V12, P1
   Hebinck P, 2016, ROUT STUD CULT SUST, P206
   Hobbs J.E., 2000, Supply Chain Management: An International Journal, V5, P131, DOI DOI 10.1108/13598540010338884
   Holt-Giménez E, 2013, AGROECOL SUST FOOD, V37, P90, DOI 10.1080/10440046.2012.716388
   Humphrey J., 2010, IDS RES REPORTS, V63, P1, DOI [10.1111/j.2040-0217.2010.00063_2.x, DOI 10.1111/J.2040-0217.2010.00063_2.X]
   Kasumuni L., 2015, THE CITIZEN
   Kay S., 2016, Connecting Smallholders to Markets |
   Kimanthi H, 2018, J RURAL STUD, V57, P157, DOI 10.1016/j.jrurstud.2017.12.019
   Kivaria FM, 2006, OUTLOOK AGR, V35, P209, DOI 10.5367/000000006778536819
   Kurwijila L.R., 2006, Hygienic milk handling, processing and marketing: Reference guide for training and certification of small-scale milk traders in Eastern Africa
   Kurwijila L R., 2012, The Tanzania dairy industry
   Kusiluka M.A., 2015, EUR J BUS MANAG, V7, P89
   Latour B., 2005, REASSEMBLING SOCIAL
   Levi S., 2020, The Art of Not Being Governed: An Anarchist History of Upland Southeast Asia
   Mahoney J, 2006, POLIT ANAL, V14, P227, DOI 10.1093/pan/mpj017
   Martucci R., 2015, THESIS U AMSTERDAM
   Match Maker Associates, 2014, VAL CHAIN DEV COURS
   McKeon N., 2014, Food security governance: Empowering communities, regulating corporations
   Meixell MJ, 2005, TRANSPORT RES E-LOG, V41, P531, DOI 10.1016/j.tre.2005.06.003
   Ministry of Livestock and Fisheries Development, 2010, LIV SECT DEV STRAT
   Ministry of Livestock Development, 2006, NAT LIV POL
   Minten B, 2009, WORLD DEV, V37, P1728, DOI 10.1016/j.worlddev.2008.08.024
   Msalya G., 2014, Safe food, Fair food, Tanzania: rapid assessment report 2014
   National Bureau of Statistics, 2012, LIV SECT NAT REP, VIII
   Njombe A.P., 2011, TANZANIA DAIRY IND S
   OECD FAO UNCDF, 2016, AD TERR APPR FOOD SE
   Oliver SP, 2009, FOODBORNE PATHOG DIS, V6, P793, DOI 10.1089/fpd.2009.0302
   Quisumbing A R., 2013, Impacts on assets, gender norms, and time use
   Renting H, 2003, ENVIRON PLANN A, V35, P393, DOI 10.1068/a3510
   Roesel K, 2015, FOOD SAFETY AND INFORMAL MARKETS: ANIMAL PRODUCTS IN SUB-SAHARAN AFRICA, P1
   Sabea H, 2008, INT J AFR HIST STUD, V41, P411
   Schneider S, 2015, ROUTL ISS STUD RURAL, V12, P190
   Sentenac H., 2014, FOX NEWS
   Seville D., 2011, Under what conditions are value chains effective tools for pro-poor development
   Sturgeon T.J., 2008, Frontiers of Commodity Chain Research
   Sumberg J, 1999, HABITAT INT, V23, P189, DOI 10.1016/S0197-3975(98)00044-7
   Sumberg J, 1997, LAND USE POLICY, V14, P277, DOI 10.1016/S0264-8377(97)00020-3
   Swai E. S. F., 1993, FUTURE LIVESTOCK IND
   Taylor M., 2007, Globalizations, V4, P529, DOI DOI 10.1080/14747730701695794
   van der Ploeg J.D., 2008, The New Peasantries: Struggle for autonomy and sustainability in an era of empire and glogalization
   van der Ploeg JD, 2015, ROUTL ISS STUD RURAL, V12, P16
   van der Ploeg JD, 2012, J PEASANT STUD, V39, P133, DOI 10.1080/03066150.2011.652619
   VANVOORTHUIZEN EG, 1970, J RANGE MANAGE, V23, P325, DOI 10.2307/3896159
   Waser M, 2007, CLIN EXP ALLERGY, V37, P661, DOI 10.1111/j.1365-2222.2006.02640.x
   Wegerif M. C. A., 2017, FEEDING DAR ES SALAA
   Wegerif MCA, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061081
   Wegerif MCA, 2016, AGRICULTURE-BASEL, V6, DOI 10.3390/agriculture6030040
   Wegerif MCA, 2014, SUSTAINABILITY-BASEL, V6, P3747, DOI 10.3390/su6063747
   Wiskerke JSC, 2009, INT PLAN STUD, V14, P369, DOI 10.1080/13563471003642803
   Wiskerke JSC, 2012, SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE, P19, DOI 10.3920/978-90-8686-826-1_1
   Zylstra L., 1995, STRATEGIES MARKET OR
NR 79
TC 9
Z9 11
U1 2
U2 20
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 2168-3565
EI 2168-3573
J9 AGROECOL SUST FOOD
JI Agroecol. Sustain. Food Syst.
PD NOV 26
PY 2019
VL 43
IS 10
BP 1077
EP 1105
DI 10.1080/21683565.2018.1530716
PG 29
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Science & Technology - Other Topics
GA JB3OM
UT WOS:000488466600002
OA Green Published
DA 2025-04-22
ER

PT J
AU Estrin, S
   Hu, Y
   Shapiro, D
   Zhang, P
AF Estrin, Saul
   Hu, Yuan
   Shapiro, Daniel
   Zhang, Peng
TI Agglomeration costs limit sustainable innovation in cities in developing
   economies
SO PLOS ONE
LA English
DT Article
ID URBANIZATION; CITY
AB Theory and evidence from developed economies suggests that innovation activities benefit from agglomeration economies associated with urban economic density. However, despite the fact that eighteen of the world's top twenty cities are in developing countries, we do not know whether agglomeration affects innovation in the same way in developing countries. We propose that, while there are still agglomeration benefits, the development path followed by cities in developing countries also creates significant agglomeration costs and these act to limit innovation. We build a unique database to measure consistently both urban economic density and innovation across a large number of developing countries. Based on geospatial information, we combine data on nightlights at the city level to proxy urban density with information on innovation activity at the firm level. We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. That is, the largest cities in developing countries are not able to act as sustainable sources of innovation. Cities in developing countries therefore display different patterns of agglomeration from those documented in the literature focused on developed countries. Our analysis explores the relationship between UN Sustainable Development Goal (SDG) 9 which fosters innovation, and SDG 11 which promotes sustainable and resilient cities. Our results suggest the importance of addressing urban agglomeration costs as a means to facilitate innovative activity.
C1 [Estrin, Saul] London Sch Econ & Polit Sci, Dept Management, London, England.
   [Hu, Yuan] Imperial Coll, Business Sch, Dept Econ & Publ Policy, London, England.
   [Shapiro, Daniel; Zhang, Peng] Simon Fraser Univ, Beedie Sch Business, Burnaby, BC, Canada.
C3 University of London; London School Economics & Political Science;
   Imperial College London; Simon Fraser University
RP Estrin, S (corresponding author), London Sch Econ & Polit Sci, Dept Management, London, England.
EM s.estrin@lse.ac.uk
RI estrin, saul/AAC-7000-2020
OI estrin, saul/0000-0002-3447-8593
FU Social Sciences & Humanities Research Council of Canada [430-
   2021-00559]
FX Peng Zhang acknowledges financial support from the Social Sciences &
   Humanities Research Council of Canada (Project Number: 430- 2021-00559):
   https://www.sshrc-crsh.gc.ca/home- accueil-eng.aspx. The funder did not
   play any role in the study design, data collection, analysis or
   preparation of the manuscript.
CR Allison P., 2004, Numerical issues in statistical computing for the social scientist
   [Anonymous], 2004, Handbook of regional and urban economics, DOI DOI 10.1016/S1574-0080(04)80018-X
   [Anonymous], 2018, 2018 REVISION WORLD
   Arcaute E, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2014.0745
   Audretsch DB, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0247609
   Audretsch DB, 1996, AM ECON REV, V86, P630
   Balland PA, 2020, NAT HUM BEHAV, V4, P248, DOI 10.1038/s41562-019-0803-3
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Baum-Snow N., 2021, Local Productivity Spillovers
   Bettencourt L, 2010, NATURE, V467, P912, DOI 10.1038/467912a
   Bettencourt LMA, 2007, RES POLICY, V36, P107, DOI 10.1016/j.respol.2006.09.026
   Bettencourt LMA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18205-1
   Bettencourt LMA, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aat8812
   Bettencourt LMA, 2013, SCIENCE, V340, P1438, DOI 10.1126/science.1235823
   Brelsford C, 2017, P NATL ACAD SCI USA, V114, P8963, DOI 10.1073/pnas.1606033114
   Cameron AC., 2005, Microeconometrics: Methods and Applications, DOI [DOI 10.1017/CBO9780511811241, 10.1017/CBO9780511811241]
   Carlino G., 2015, Handbook of regional and urban economics, V5, P349, DOI [10.1016/B978-0-444-59517-1.00006-4, DOI 10.1016/B978-0-444-59517-1.00006-4]
   Carney M, 2019, J WORLD BUS, V54, P244, DOI 10.1016/j.jwb.2018.03.003
   Castellacci F, 2015, WORLD DEV, V70, P43, DOI 10.1016/j.worlddev.2014.12.014
   Chauvin JP, 2017, J URBAN ECON, V98, P17, DOI 10.1016/j.jue.2016.05.003
   Chen LM, 2022, WORLD BANK ECON REV, V36, P533, DOI 10.1093/wber/lhab022
   Chen X, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11091057
   Chen X, 2011, P NATL ACAD SCI USA, V108, P8589, DOI 10.1073/pnas.1017031108
   Cohen B, 2006, TECHNOL SOC, V28, P63, DOI 10.1016/j.techsoc.2005.10.005
   Collier P, 2017, OXFORD REV ECON POL, V33, P355, DOI 10.1093/oxrep/grx035
   de Groot HLF, 2016, J ECON SURV, V30, P756, DOI 10.1111/joes.12112
   Depersin J, 2018, P NATL ACAD SCI USA, V115, P2317, DOI 10.1073/pnas.1718690115
   DeVellis Robert F., 2021, Scale development: Theory and applications, DOI DOI 10.1016/J.ADDBEH.2014.02.013
   Duranton G, 2003, Handbook of regional and urban economics, V9931, P3, DOI [DOI 10.1016/S1574-0080(04)80005-1, 10.3386/w9931]
   Duranton G, 2020, J ECON PERSPECT, V34, P3, DOI 10.1257/jep.34.3.3
   Fan CC, 2024, J INT BUS STUD, V55, P28, DOI 10.1057/s41267-023-00670-7
   Feldman M., 1994, GEOGRAPHY INNOVATION
   Florida R, 2017, REG STUD, V51, P86, DOI 10.1080/00343404.2016.1255324
   Frick SA, 2018, WORLD DEV, V105, P156, DOI 10.1016/j.worlddev.2017.12.034
   Glaeser E., 2008, Cities, Agglomeration, and Spatial Equilibrium
   Glaeser E, 2017, J URBAN ECON, V98, P1, DOI 10.1016/j.jue.2017.01.003
   Glaeser EL, 2013, J ECON SOCIOL, V14, P75, DOI 10.17323/1726-3247-2013-4-75-94
   Glaeser EL, 2017, OXFORD REV ECON POL, V33, P373, DOI 10.1093/oxrep/grx034
   Glaeser EL, 2009, J ECON LIT, V47, P983, DOI 10.1257/jel.47.4.983
   Gomez-Lievano A, 2017, NAT HUM BEHAV, V1, DOI 10.1038/s41562-016-0012
   Grover Arti., 2021, Agglomeration Economies in Developing Countries
   Han GH, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0262503
   Henderson JV, 2021, REV ECON STUD, V88, P1157, DOI 10.1093/restud/rdaa042
   Henderson JV, 2020, J ECON PERSPECT, V34, P150, DOI 10.1257/jep.34.3.150
   Henderson JV, 2018, Q J ECON, V133, P357, DOI 10.1093/qje/qjx030
   Henderson V, 2002, WORLD BANK RES OBSER, V17, P89, DOI 10.1093/wbro/17.1.89
   Hong I, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba4934
   Hu YY, 2022, J ECONOMETRICS, V228, P359, DOI 10.1016/j.jeconom.2021.05.007
   Jedwab R, 2021, REG SCI URBAN ECON, V86, DOI 10.1016/j.regsciurbeco.2020.103609
   Jedwab R, 2015, EXPLOR ECON HIST, V58, P1, DOI 10.1016/j.eeh.2015.09.002
   Lall S.V., 2017, AFRICAS CITIES OPENI, DOI DOI 10.1596/978-1-4648-1044-2
   Li RQ, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01882-w
   Li XC, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0510-y
   Loomba S, 2021, NAT HUM BEHAV, V5, P337, DOI 10.1038/s41562-021-01056-1
   Lyons BA, 2020, NAT HUM BEHAV, V4, P153, DOI 10.1038/s41562-019-0761-9
   McCormick M, 2020, GLOB STRATEG J, V10, P251, DOI 10.1002/gsj.1368
   Mellander C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0139779
   Melo PC, 2009, REG SCI URBAN ECON, V39, P332, DOI 10.1016/j.regsciurbeco.2008.12.002
   Michalopoulos S, 2018, ANNU REV ECON, V10, P383, DOI 10.1146/annurev-economics-080217-053355
   Ortman SG, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0243621
   Paiva ASS, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0293518
   Pan W, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2961
   Pandey B, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2119890119
   Paul Bairoch., 1988, Cities and economic development: from the dawn of history to the present
   Pindado E, 2023, RES POLICY, V52, DOI 10.1016/j.respol.2022.104625
   Rosenthal S.S., 2004, HDB REGIONAL URBAN E, V4, P2119, DOI 10.1016/S1574-0080(04)80006-3
   Rosenthal SS, 2020, J ECON PERSPECT, V34, P27, DOI 10.1257/jep.34.3.27
   Sarkees MeredithReid., 2010, RESORT WAR 18162007
   Stokes EC, 2019, REMOTE SENS ENVIRON, V234, DOI 10.1016/j.rse.2019.111430
   Sturgis P, 2021, NAT HUM BEHAV, V5, P1528, DOI 10.1038/s41562-021-01115-7
   Sun LQ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19158-1
   Tahmooresnejad L, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0288843
   Wu SB, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-41620-z
   Zhou YY, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2214813119
NR 74
TC 0
Z9 0
U1 4
U2 4
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD NOV 14
PY 2024
VL 19
IS 11
AR e0308742
DI 10.1371/journal.pone.0308742
PG 24
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA N5B0B
UT WOS:001364478900036
PM 39541289
OA gold, Green Accepted
DA 2025-04-22
ER

PT J
AU McPhearson, T
   Iwaniec, DM
   Bai, XM
AF McPhearson, Timon
   Iwaniec, David M.
   Bai, Xuemei
TI Positive visions for guiding urban transformations toward sustainable
   futures
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID INNOVATION; ECOLOGY; SCIENCE; FOOD; GAP
AB Much of the discourse around urban and global futures tends to be dystopian with visions of environmental and societal collapse, and business as usual forecasts that challenge planning and policymaking for more optimistic urban futures. More recently, research and practice demonstrate the role of positives visions that allow exploration of alternative and desirable futures in developing positive plans and delivering desirable outcomes for cities. We review the role of positive visioning and associated future scenarios for transformations that can guide decision-making for plausible, desirable, and sustainable urban futures. We discuss key challenges and tensions in visioning processes and suggest paths forward for positive visioning as a key tool for resilience and sustainability planning and to guide implementation.
C1 [McPhearson, Timon] New Sch, Urban Syst Lab, Environm Studies, New York, NY 10003 USA.
   [Iwaniec, David M.] Georgia State Univ, Andrew Young Sch Policy Studies, Urban Studies Inst, Atlanta, GA 30303 USA.
   [Bai, Xuemei] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2601, Australia.
C3 The New School; University System of Georgia; Georgia State University;
   Australian National University
RP McPhearson, T (corresponding author), New Sch, Urban Syst Lab, Environm Studies, New York, NY 10003 USA.
EM timon.mcphearson@newschool.edu
RI McPhearson, Timon/JOZ-3799-2023; Iwaniec, David/M-7993-2014; Bai,
   Xuemei/A-5443-2012
OI McPhearson, Timon/0000-0002-9499-0791; Iwaniec,
   David/0000-0002-0410-4152; Bai, Xuemei/0000-0001-6556-8041
FU U.S. NSF Urban Resilience to Extreme Weather-Related Events
   Sustainability Research Network (UREx SRN) [SES 1444755]; NSF Central
   Arizona-Phoenix Long-Term Ecological Research (NSF grant) [DEB-1026865];
   NSF Urban Sustainability Research Coordination Network (NSF grant) [RCN
   1140070]; U.S. NSF Urban Resilience to Extreme Weather-Related Events
   Sustainability Research Network (NSF) [SES 1444755]; NSF Central
   Arizona-Phoenix Long-Term Ecological Research (CAP LTER) [DEB-1026865];
   Direct For Social, Behav & Economic Scie; Division Of Behavioral and
   Cognitive Sci [1444755] Funding Source: National Science Foundation
FX This work was supported by the U.S. NSF Urban Resilience to Extreme
   Weather-Related Events Sustainability Research Network (UREx SRN; NSF
   grant no. SES 1444755), NSF Central Arizona-Phoenix Long-Term Ecological
   Research (CAP LTER; NSF grant no. DEB-1026865), and the NSF Urban
   Sustainability Research Coordination Network (NSF grant no. RCN
   1140070).
CR [Anonymous], 2014, ECOL SOC, DOI DOI 10.5751/ES-06457-190302
   [Anonymous], 1993, The fifth discipline: The art and practice of a learning organisation
   Australian Capital Territory, 2016, 100 REN EN CANB 2020
   Bai XM, 2016, CURR OPIN ENV SUST, V23, P69, DOI 10.1016/j.cosust.2016.11.010
   Bai XM, 2016, GLOBAL ENVIRON CHANG, V39, P351, DOI 10.1016/j.gloenvcha.2015.09.017
   Bai XM, 2014, NATURE, V509, P158, DOI 10.1038/509158a
   Bai XM, 2010, ENVIRON SCI POLICY, V13, P312, DOI 10.1016/j.envsci.2010.03.011
   Bell F, 2013, FUTURES, V50, P15, DOI 10.1016/j.futures.2013.04.004
   Bennett EM, 2016, FRONT ECOL ENVIRON, V14, P441, DOI 10.1002/fee.1309
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Bossel Hartmut., 1998, Earth at a Crossroads, Paths to a Sustainable Future Publicacao
   Costanza R, 2000, CONSERV ECOL, V4
   De Vries J, 2001, SCENARIO BUILDING SO
   Eickhoff P., 2009, The Change Handbook - The Definitive Resource on Today's Best Methods for Engaging Whole Systems, P27
   Ellis EC, 2015, ECOL MONOGR, V85, P287, DOI 10.1890/14-2274.1
   Ellis EC, 2011, PHILOS T R SOC A, V369, P1010, DOI 10.1098/rsta.2010.0331
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Hamilton C., 2014, The Delusion of the Good Anthropocene
   Han J, 2012, SUSTAIN SCI, V7, P91, DOI 10.1007/s11625-011-0152-2
   Harini N, 2016, SPRAWL FACT OUR CITI
   Hojer M, 1999, C URB TRANSP SYST, P1
   Iwaniec D, 2014, PLAN PRACT RES, V29, P543, DOI 10.1080/02697459.2014.977004
   Iwaniec DM, 2016, CURR OPIN ENV SUST, V20, P1, DOI 10.1016/j.cosust.2016.03.001
   Iwaniec DM, 2014, SUSTAINABILITY-BASEL, V6, P4452, DOI 10.3390/su6074452
   Jungk R., 1987, FUTURE WORKSHOPS CRE
   Kemp R., 2007, Sustainability: Science, Practice & Policy, V3, P5
   Khanna N, 2014, SUSTAIN CITIES SOC, V12, P110, DOI 10.1016/j.scs.2014.03.005
   Leach M., 2010, Dynamic Sustainabilities: Technology, Environment, Social Justice, DOI DOI 10.4324/9781849775069
   Lo K, 2014, HABITAT INT, V42, P236, DOI 10.1016/j.habitatint.2014.01.007
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   McPhearson T, 2016, NATURE, V538, P165, DOI 10.1038/538165a
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   Meadows D, 1996, INT S ECOL ECON SER, P117
   Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING MI
   Moore ML, 2014, ECOL SOC, V19, DOI 10.5751/ES-06966-190454
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   New Urban Agenda (NUA), 2016, HABITAT 3 IN PRESS
   Oels A., 2009, Public participation and better environmental decisions, P73
   Okubo D., 2000, NATL CIVIC REV, V89, P309
   Olson RL, 1995, J SOC ISSUES, V51, P15, DOI 10.1111/j.1540-4560.1995.tb01346.x
   OLSON RL, 1994, FUTURES, V26, P156, DOI 10.1016/0016-3287(94)90105-8
   Raskin P., 2002, Great transition: The promise and lure of the times ahead
   Raskin Paul D., 2010, Sustainability, V2, P2626, DOI 10.3390/su2082626
   Revkin A, 2014, EXPLORING ACAD ROLE
   Robinson J, 2011, TECHNOL FORECAST SOC, V78, P756, DOI 10.1016/j.techfore.2010.12.006
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Romero-Lankao P, 2017, NAT CLIM CHANGE, V7, P233
   Shipley R, 1999, ENVIRON PLANN B, V26, P573, DOI 10.1068/b260573
   Shipley R, 2006, PLAN PRACT RES, V21, P223, DOI 10.1080/02697450600944715
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Trott TM, 2010, P 63 GULF CAR FISH I
   UN, 2015, UNGA Resolution 70/1
   United Nations, 2014, WORLD URB PROSP REV
   van der Helm R, 2009, FUTURES, V41, P96, DOI 10.1016/j.futures.2008.07.036
   van Hulst M, 2012, PLAN THEOR, V11, P299, DOI 10.1177/1473095212440425
   Wiek A, 2005, ENVIRON IMPACT ASSES, V25, P589, DOI 10.1016/j.eiar.2004.09.009
   Wiek A, 2012, SUSTAIN SCI, V7, P1, DOI [10.1007/s11625-011-0154-0, 10.1007/s11625-013-0208-6]
   Wright EO., 2010, ENVISIONING REAL UTO
NR 58
TC 99
Z9 106
U1 1
U2 24
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD OCT
PY 2016
VL 22
BP 33
EP 40
DI 10.1016/j.cosust.2017.04.004
PG 8
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA FN6CC
UT WOS:000416098300006
DA 2025-04-22
ER

PT J
AU Zhao, ZY
   Zhou, XS
   Lin, ZZ
   Bao, HXH
   Meng, TG
   Fang, DP
AF Zhao, Zeyu
   Zhou, Xiaoshan
   Lin, Zhizhi
   Bao, Helen X. H.
   Meng, Tianguang
   Fang, Dongping
TI A Resident-Centric Framework for Postdisaster Infrastructure Recovery:
   Characterizing Hierarchical Needs and Fulfillment Cycles to Assess Urban
   Resilience
SO JOURNAL OF MANAGEMENT IN ENGINEERING
LA English
DT Article
DE Urban resilience; Residents' needs; Expected performance; Actual
   performance; Topic modeling
ID SEISMIC RESILIENCE; RECONSTRUCTION; SYSTEMS; MODEL
AB Allocating resources effectively for the recovery of facilities and services after a disaster is essential to improve the sustainability and well-being of affected residents who face various challenges and pressures. A significant challenge in this process is identifying vulnerabilities and strategically prioritizing resource to address residents' postdisaster needs. These needs change over time, including both their urgency and the extent to which they are fulfilled, as facilities recover. However, currently, no quantitative computational model characterizes these needs and further guides resilience evaluation and infrastructure rush repair. This study introduces an evaluation framework that monitors residents' unmet needs by keeping track of the needs they report and addressing feedback gathered from social sensing. Residents' postdisaster needs are first identified by clustering 336,928 pieces of appeal and feedback data using latent Dirichlet allocation (LDA) topic modeling. These needs are then validated through a Delphi study and modeled into a three-level hierarchy. Then, we characterized residents' expected recovery curve over time as a benchmark and used the actual recovery based on needs fulfillment to quantify the discrepancy, which served as the proxy for resilience. The proposed framework was validated using empirical data from a regular and an extreme rainstorm that occurred in 2020 and 2023 in Beijing. The findings offer valuable insights into how residents' most urgent needs and the corresponding types of infrastructure repair needed change across different recovery phases and for different types of rainstorms. These insights help guide policymakers in improving the effectiveness of disaster response and in taking proactive measures for infrastructure maintenance to prevent future disasters.
C1 [Zhao, Zeyu; Lin, Zhizhi; Fang, Dongping] Tsinghua Univ, Dept Construct Management, Beijing 100084, Peoples R China.
   [Zhou, Xiaoshan] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48105 USA.
   [Bao, Helen X. H.] Univ Cambridge, Dept Land Econ, 19 Silver St, Cambridge CB3 9EP, England.
   [Meng, Tianguang] Tsinghua Univ, Dept Polit Sci, Beijing 100084, Peoples R China.
C3 Tsinghua University; University of Michigan System; University of
   Michigan; University of Cambridge; Tsinghua University
RP Fang, DP (corresponding author), Tsinghua Univ, Dept Construct Management, Beijing 100084, Peoples R China.
EM zhaozy21@mails.tsinghua.edu.cn; xszhou@umich.edu;
   linzz24@mails.tsinghua.edu.cn; hxb20@cam.ac.uk; maxmeng@tsinghua.edu.cn;
   fangdp@tsinghua.edu.cn
RI Bao, Helen/X-4845-2019
OI Bao, Helen X. H./0000-0003-3966-3867
FU National Natural Science Foundation of China (NSFC) [71974106,
   72242107]; Major Project of National Social Science Foundation of China
   [18ZDA110]; Beijing Social Science Found [23GLC046, 2022-JB-02];
   Computational Social Science Institute of Tsinghua University
FX This material is based on work supported by the National Natural Science
   Foundation of China (NSFC) under Grant Nos. 71974106 and 72242107, Major
   Project of National Social Science Foundation of China under Grant No.
   18ZDA110, project supported by the Beijing Social Science Found (No.
   23GLC046), and strategic study project of Chinese Academy of Engineering
   (2022-JB-02). Part of the data for this study are obtained from the
   Computational Social Science Institute of Tsinghua University. The
   author gratefully acknowledges the assistance of the Computational
   Social Science Institute of Tsinghua University and its staff in
   providing and processing the data resources.
CR [Anonymous], 2013, PERS WELLB IND, V5th
   [Anonymous], 2019, Sustainable cities and communities - Indicators for smart cities
   [Anonymous], 2018, Sustainable cities and communities - Indicators for city services and quality of life
   Balakrishnan S, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000769
   Birkmann J, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103965
   Blei DM, 2003, J MACH LEARN RES, V3, P993, DOI 10.1162/jmlr.2003.3.4-5.993
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cardoso R, 2022, URBAN STUD, V59, P2638, DOI 10.1177/00420980211045571
   Chaigneau T, 2022, NAT SUSTAIN, V5, P287, DOI 10.1038/s41893-021-00790-8
   Chen YD, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102510
   Choi J, 2017, NAT HAZARDS, V87, P817, DOI 10.1007/s11069-017-2795-5
   Chumo I, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010037
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Costa R, 2024, RISK ANAL, V44, P850, DOI 10.1111/risa.14206
   Dargin JS, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0234381
   Deci EL, 2000, PSYCHOL INQ, V11, P227, DOI 10.1207/S15327965PLI1104_01
   Esparza M, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103825
   Fan C, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000745
   Fornell C, 1996, J MARKETING, V60, P7, DOI 10.2307/1251898
   Gerst MD, 2024, J MANAGE ENG, V40, DOI 10.1061/JMENEA.MEENG-5907
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Helmrich AM, 2021, ENVIRON MODELL SOFTW, V143, DOI 10.1016/j.envsoft.2021.105124
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Holguín-Veras J, 2013, J OPER MANAG, V31, P262, DOI 10.1016/j.jom.2013.06.002
   Huang XB, 2024, STRUCT SAF, V107, DOI 10.1016/j.strusafe.2023.102408
   Huey Wen Lim, 2021, Journal of Management in Engineering, V37, DOI 10.1061/(ASCE)ME.1943-5479.0000861
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Lee YS, 2015, IEEE ICCE, P136, DOI 10.1109/ICCE-TW.2015.7216819
   Lehto X, 2017, ASIA PAC J TOUR RES, V22, P329, DOI 10.1080/10941665.2016.1250794
   Li CJ, 2022, CITIES, V124, DOI 10.1016/j.cities.2022.103597
   Li LZ, 2022, J MANAGE ENG, V38, DOI 10.1061/(ASCE)ME.1943-5479.0001080
   Liu YH, 2023, INT J DISAST RISK RE, V90, DOI 10.1016/j.ijdrr.2023.103649
   Long YJ, 2022, IT PROF, V24, P18, DOI 10.1109/MITP.2022.3162343
   Maslow AH, 1943, PSYCHOL REV, V50, P370, DOI 10.1037/h0054346
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meyer MA, 2023, NONPROF VOLUNT SEC Q, V52, P979, DOI 10.1177/08997640221138265
   NIST, 2015, Community resilience planning guide for buildings and infrastructure systems: Volume II
   Pan SJ, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103169
   Pan SJ, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103170
   Peng X, 2022, COMPUT ENVIRON URBAN, V94, DOI 10.1016/j.compenvurbsys.2022.101790
   Podesta C, 2021, J R SOC INTERFACE, V18, DOI 10.1098/rsif.2021.0158
   Rasoulkhani K, 2020, ENVIRON MODELL SOFTW, V125, DOI 10.1016/j.envsoft.2020.104636
   Sim T., 2017, Int. J. Saf. Secur. Eng, V7, P283, DOI [10.2495/SAFE-V7-N3-283-293, DOI 10.2495/SAFE-V7-N3-283-293]
   Song MM, 2022, ELECTRON COMMER R A, V55, DOI 10.1016/j.elerap.2022.101199
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   The People's Government of Beijing, 2023, Beijing reports on the disaster process and response to this extreme rainstorms
   The People's Government of Beijing, 2020, The total precipitation in Beijing during 8.12 Rainstorm
   Yang YS, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104737
   Yang YS, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103290
   Ye X, 2023, J PLAN LIT, V38, P187, DOI 10.1177/08854122221137861
   Yi FX, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104932
   Yoshitsugu Hayashi and Yasuhiro Suzuki, 2016, Resilience for empowering the regionsNational grand design making good use of traditional knowledge and big data
   You YF, 2020, J MARKETING, V84, P133, DOI 10.1177/0022242919889894
   Zhao BB, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104889
   Zhao ZY, 2024, SUSTAIN CITIES SOC, V106, DOI 10.1016/j.scs.2024.105366
   Zhao ZY, 2022, EARTHQ ENG RESIL, V1, P196, DOI 10.1002/eer2.22
NR 57
TC 0
Z9 0
U1 6
U2 6
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0742-597X
EI 1943-5479
J9 J MANAGE ENG
JI J. Manage. Eng.
PD MAY 1
PY 2025
VL 41
IS 3
AR 04025003
DI 10.1061/JMENEA.MEENG-6248
PG 19
WC Engineering, Industrial; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA 0FV4X
UT WOS:001446364600004
DA 2025-04-22
ER

PT J
AU Cigada, A
   Manzoni, S
   Vanali, M
AF Cigada, A.
   Manzoni, S.
   Vanali, M.
TI Geometry effects on the vibro-acoustic behavior of railway resilient
   wheels
SO JOURNAL OF VIBRATION AND CONTROL
LA English
DT Article
DE Noise; railway wheel; resilient wheel; vibration; vibro-acoustic
   characterization
ID ROLLING NOISE; CURVE SQUEAL; SOUND RADIATION; EXPERIMENTAL VALIDATION;
   TRAIN WHEELS; PART 1; GENERATION; EFFICIENCY; VIBRATION; PLATES
AB Noise generated by railway vehicles is nowadays one of the most important concerns in the railway engineering community and sometimes becomes one of the key points in the discussions preceding the design of a new line. Many researchers have contributed to achieve important improvements in the reduction of railway wheel noise during recent years. One of the solutions effectively able to reduce rolling noise is the adoption of resilient wheels, nowadays widely used on city trams and sometimes on high-speed trains. Some studies have shown the important role played by the wheel rubber blocks in reducing rolling noise and a strict link between their stiffness and the emitted noise has been demonstrated as well. On the other hand the resilient wheel effectiveness in mitigating squeal noise has not yet been deeply investigated. Moreover the effects of factors, different from the rubber block features, have not been completely stated. The aim of the present paper is to analyze which are the main parameters affecting the resilient wheel vibro-acoustic behavior and the consequences on squeal noise emission. This study considers not only the rubber block features but also other parameters, such as wheel geometry. The research approach is both experimental and numerical. The analysis has been carried out up to 5 kHz. Two different resilient wheels have been tested performing modal analyses and getting sound pressure levels at the same time. The results have been compared and commented. It has been found that the wheel geometry plays an important role in determining the wheel vibro-acoustic behavior, although rubber blocks remain the most influent elements. Particularly the wheel width value has significant effects on the tread dynamics and, as the main consequence, on the wheel sound radiation.
C1 [Cigada, A.; Manzoni, S.; Vanali, M.] Politecn Milan, Dept Mech, I-20156 Milan, Italy.
C3 Polytechnic University of Milan
RP Manzoni, S (corresponding author), Politecn Milan, Dept Mech, Via La Masa 1, I-20156 Milan, Italy.
EM stefano.manzoni@polimi.it
RI Cigada, Alfredo/MCJ-2835-2025; Manzoni, Stefano/AAI-8685-2020
OI Manzoni, Stefano/0000-0002-9240-5472; Vanali,
   Marcello/0000-0002-9864-6728
FU European Project InMAR
FX The authors are grateful to the European Project InMAR for having funded
   the research presented here and to the Research and Development
   Department of Lucchini Sidermeccanica for the possibility to perform a
   part of the experimental tests quoted in this paper.
CR [Anonymous], 1999, STRESSES PLATE SHELL
   Bouvet P, 2000, J SOUND VIB, V231, P765, DOI 10.1006/jsvi.1999.2561
   Cigada A, 2008, APPL ACOUST, V69, P530, DOI 10.1016/j.apacoust.2007.01.002
   Cigada A, 2006, Proceedings of ISMA2006: International Conference on Noise and Vibration Engineering, Vols 1-8, P4283
   Cigada A, 2009, TRANSP ISSUES POLICI, P237
   COLLINA C, 2009, P 21 INT S DYN VEH R
   Corradi R, 2006, PROCEEDINGS OF ISMA2006: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS 1-8, P3745
   de Beer FG, 2003, J SOUND VIB, V267, P497, DOI 10.1016/S0022-460X(03)00710-7
   Ewins D.J., 2000, Modal Testing: Theory, Practice and Application
   Fahy Frank., 2001, SOUND STRUCTURAL VIB
   Heckl MA, 2000, J SOUND VIB, V229, P695, DOI 10.1006/jsvi.1999.2511
   Heckl MA, 2000, J SOUND VIB, V229, P669, DOI 10.1006/jsvi.1999.2510
   Jones CJC, 2000, J SOUND VIB, V231, P779, DOI 10.1006/jsvi.1999.2562
   JONES CJC, 2001, NOISE VIBRATION HIGH
   KALIVODA MT, 2001, NOISE VIBRATION HIGH
   Kitagawa T, 2006, J SOUND VIB, V293, P496, DOI 10.1016/j.jsv.2005.08.037
   Koo DH, 2002, TRANSPORT RES D-TR E, V7, P429, DOI 10.1016/S1361-9209(02)00011-1
   Monk-Steel AD, 2006, J SOUND VIB, V293, P766, DOI 10.1016/j.jsv.2005.12.004
   Oppenheimer CH, 1997, J SOUND VIB, V199, P473, DOI 10.1006/jsvi.1996.0609
   TAKAHAGI T, 1995, J SOUND VIB, V185, P455, DOI 10.1006/jsvi.1995.0392
   Thompson DJ, 1996, J SOUND VIB, V193, P137, DOI 10.1006/jsvi.1996.0253
   Thompson DJ, 2002, J SOUND VIB, V253, P401, DOI 10.1006/jsvi.2001.4061
   THOMPSON DJ, 1993, J SOUND VIB, V161, P447, DOI 10.1006/jsvi.1993.1085
   THOMPSON DJ, 1993, J SOUND VIB, V161, P401, DOI 10.1006/jsvi.1993.1083
   Thompson DJ, 1996, J SOUND VIB, V193, P149, DOI 10.1006/jsvi.1996.0254
   THOMPSON DJ, 2001, NOISE VIBRATION HIGH
   Timoshenko S., 1959, THEORY PLATES SHELLS
   Vincent N, 2006, J SOUND VIB, V293, P691, DOI 10.1016/j.jsv.2005.12.008
   VINCENT N, 1996, J SOUND VIBRATION, V193, P865
   Wang C, 2000, J SOUND VIB, V232, P431, DOI 10.1006/jsvi.1999.2749
   Xie G, 2006, VEHICLE SYST DYN, V44, P261, DOI 10.1080/00423110600870428
   [No title captured]
NR 32
TC 11
Z9 13
U1 2
U2 21
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 1077-5463
J9 J VIB CONTROL
JI J. Vib. Control
PD OCT
PY 2011
VL 17
IS 12
BP 1761
EP 1778
DI 10.1177/1077546310362452
PG 18
WC Acoustics; Engineering, Mechanical; Mechanics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Acoustics; Engineering; Mechanics
GA 835WQ
UT WOS:000296068100001
DA 2025-04-22
ER

PT J
AU Bafarasat, AZ
AF Bafarasat, Abbas Ziafati
TI Strategic urban design for sustainable development: A framework for
   studio and practice
SO SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE challenges; implementation; participation; practice; strategic; studio;
   sustainable development; urban design
ID CROSS-IMPACT MATRIX; CHALLENGES; RESILIENCE
AB Urban design seeks to apply the goals of sustainable development in the physical design of cities. It involves complex efforts to explore and address a whole range of urban issues in accordance with the goals of sustainable development. However, it faces challenges to consider the feelings of local communities about unsustainabilities in their environment and to impact the actual urban development. Deploying strategy, which is the science of making the most effective use of a situation to achieve goals, to urban design helps overcome these challenges. This study recommends an interdiscipline of strategic urban design. It proposes a framework of strategic urban design for participative, timely and implementable physical design for sustainable urban development. A cyclic framework of strategic urban design is proposed that comprises four steps: (i) set a goal for urban sustainability, (ii) explore unsustainabilities from citizens' perspective, (iii) explore unsustainabilities that are source of other unsustainabilities, and (iv) design multi-projects to tackle source unsustainabilities. These steps are explained with methods and templates for application in urban design studio and practice.
C1 [Bafarasat, Abbas Ziafati] Oxford Brookes Univ, Sch Built Environm, Headington Campus, Oxford, England.
C3 Oxford Brookes University
RP Bafarasat, AZ (corresponding author), Oxford Brookes Univ, Sch Built Environm, Headington Campus, Oxford, England.
EM aziafati-bafarasat@brookes.ac.uk
RI Ziafati Bafarasat, Abbas/AAD-3309-2021
CR Abson DJ, 2017, AMBIO, V46, P30, DOI 10.1007/s13280-016-0800-y
   Al-Harami A., 2018, J URBAN REGENERATION, V12, P151
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   Aritua B, 2009, INT J PROJ MANAG, V27, P72, DOI 10.1016/j.ijproman.2008.02.005
   Artto K.A., 2007, The Wiley Guide to Project Program Portfolio Management pp, P1
   Asan SS, 2007, TECHNOL FORECAST SOC, V74, P627, DOI 10.1016/j.techfore.2006.05.011
   Balducci A, 2010, URBAN LAND PERSPECT, P47, DOI 10.1007/978-90-481-3106-8_3
   Balestrini M, 2017, PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17), P2282, DOI 10.1145/3025453.3025915
   Bell D, 2005, J URBAN DES, V10, P81, DOI 10.1080/13574800500062387
   Benedek J, 2021, SUSTAIN DEV, V29, P860, DOI 10.1002/sd.2180
   Bohn K., 2012, CONTINUOUS PRODUCTIV
   Bourgeois L.J., 1980, Academy of Management Review, V5, P25, DOI DOI 10.2307/257802
   Brundtland GH., 1987, OUR COMM FUT, V4, P17
   Bryson J.M., 2004, STRATEGIC PLANNING P
   Bryson JM, 2018, PUBLIC MANAG REV, V20, P317, DOI 10.1080/14719037.2017.1285111
   Carmona M., 2021, PUBLIC PLACES URBAN, DOI DOI 10.4324/9781315158457
   Carmona Matthew, 2009, International Journal of Sustainable Development, V12, P48
   CHAFFEE EE, 1985, ACAD MANAGE REV, V10, P89, DOI 10.2307/258215
   Chao K, 2008, J FUTURES STUD, V12, P45
   Cortesao J, 2020, J URBAN DES, V25, P293, DOI 10.1080/13574809.2019.1650638
   Coulson S, 2021, FRONT COMMUN, V6, DOI 10.3389/fcomm.2021.629700
   Cowan R., 2002, URBAN DESIGN GUIDANC
   Cusumano M.A., 1998, THINKING LEAN MULTIP
   Dias N, 2014, PROC ECON FINANC, V18, P497, DOI 10.1016/S2212-5671(14)00968-X
   Dietrich P., 2005, International Journal of Project Management, V23, P386, DOI 10.1016/j.ijproman.2005.03.002
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   English T., 2015, ENCY CLIN PSYCHOL
   Faludi A., 2000, PLANN PRACT RES, V15, P299, DOI DOI 10.1080/713691907
   Gazvoda D., 2019, The Routledge Handbook of Teaching Landscape, P300
   Gil J., 2008, ECAADE, P257
   Gold M, 2018, CITIZEN SCIENCE, P146
   GORDON TJ, 1968, FUTURES, V1, P100, DOI 10.1016/S0016-3287(68)80003-5
   Greenberg K., 2019, UNLEASHING TRUE POWE
   GUTH WD, 1976, J BUS, V49, P374, DOI 10.1086/295858
   Haeckel S.H., 1999, ADAPTIVE ENTERPRISE
   Hofer C.W., 1973, ACAD MANAGEMENT P, P46
   Hofer C.W., 1978, STRATEGY FORMULATION
   Holden E, 2007, SUSTAIN DEV, V15, P174, DOI 10.1002/sd.313
   Hyvari I., 2006, International Journal of Project Management, V24, P216, DOI 10.1016/j.ijproman.2005.09.001
   ISENBERG DJ, 1987, HARVARD BUS REV, V65, P92
   JACOBS A, 1987, J AM PLANN ASSOC, V53, P112, DOI 10.1080/01944368708976642
   Keitsch M, 2012, SUSTAIN DEV, V20, P141, DOI 10.1002/sd.1530
   KOTHA S, 1995, STRATEGIC MANAGE J, V16, P497, DOI 10.1002/smj.4250160702
   Lang J.T., 2005, Urban design: A typology of procedures and products
   Larco N, 2016, J URBAN DES, V21, P1, DOI 10.1080/13574809.2015.1071649
   Le Blanc D, 2015, SUSTAIN DEV, V23, P176, DOI 10.1002/sd.1582
   Lee R, 2021, SOC INDIC RES, V156, P201, DOI 10.1007/s11205-021-02643-5
   Lovas B, 2000, STRATEGIC MANAGE J, V21, P875, DOI 10.1002/1097-0266(200009)21:9<875::AID-SMJ126>3.0.CO;2-P
   MacPhail VJ, 2020, BIOL CONSERV, V249, DOI 10.1016/j.biocon.2020.108739
   Madanipour A, 2006, J URBAN DES, V11, P173, DOI 10.1080/13574800600644035
   Malhotra A, 2017, LONG RANGE PLANN, V50, P397, DOI 10.1016/j.lrp.2016.06.004
   Miao Y., 2017, CAADRIA 2017 PROTOCO
   Miao YF, 2018, INT J ARCHIT COMPUT, V16, P212, DOI 10.1177/1478077118798395
   Miles R E, 1978, Acad Manage Rev, V3, P546, DOI 10.2307/257544
   Millar E, 2020, SUSTAIN ACCOUNT MANA, V11, P31, DOI 10.1108/SAMPJ-01-2019-0006
   MINTZBERG H, 1987, CALIF MANAGE REV, V30, P11, DOI 10.2307/41165263
   MINTZBERG H, 1985, STRATEGIC MANAGE J, V6, P257, DOI 10.1002/smj.4250060306
   Mintzberg H., 2009, STRATEGY SAFARI GUID, V2nd
   Mintzberg H., 2003, The strategy process: Concepts, contexts, cases, V4th
   Moudon A.V., 2007, URBAN DESIGN READER, P438
   Moughtin C., 2005, URBAN DESIGN GREEN D
   NEILSEN EH, 1987, ACAD MANAGE REV, V12, P523, DOI 10.2307/258518
   Oosterlynck S, 2011, RTPI LIB SER, P1
   Payne J.H., 1995, International Journal of Project Management, V13, P163
   Peng X., 2022, SOCIAL SENSING APPRO, P94
   Perrott Bruce E., 2011, Strategy & Leadership, V39, P20, DOI 10.1108/10878571111161499
   Pizarro RE, 2015, CURR OPIN ENV SUST, V17, P48, DOI 10.1016/j.cosust.2015.11.005
   Porter M., 1996, HARVARD BUS REV, V4134, P59
   Qu L, 2020, INT J TECHNOL DES ED, V30, P899, DOI 10.1007/s10798-019-09540-6
   QUINN JB, 1978, SLOAN MANAGE REV, V20, P7
   Rojanamon P, 2012, SUSTAIN DEV, V20, P320, DOI 10.1002/sd.473
   Rondinelli D., 2013, Development projects as policy experiments: An adaptive approach to development administration
   Rowley A., 1994, Planning Practice and Research, V9, P179, DOI [10.1080/02697459408722929, DOI 10.1080/02697459408722929]
   Rumelt Richard., 2011, Good Strategy Bad Strategy: The Difference and Why It Matters
   SARTORIO FrancescaS., 2005, disPThe Planning Review, v, V41, n, P26, DOI DOI 10.1080/02513625.2005.10556930
   Tiwari R, 2011, CITIES, V28, P394, DOI 10.1016/j.cities.2011.05.005
   Toker Z, 2007, DES STUD, V28, P309, DOI 10.1016/j.destud.2007.02.008
   Tsao CY, 2016, TOURISM GEOGR, V18, P80, DOI 10.1080/14616688.2015.1116600
   United Nations, 2020, URBAN CLIMATE ACTION
   United Nations, 2018, WORLD URBANIZATION P
   Venkatesh B, 2023, SUSTAIN DEV, V31, P56, DOI 10.1002/sd.2373
   Weick K., 1983, ORG EFFECTIVENESS, P71
   Weimer-Jehle W, 2006, TECHNOL FORECAST SOC, V73, P334, DOI 10.1016/j.techfore.2005.06.005
   Wiltbank R, 2006, STRATEGIC MANAGE J, V27, P981, DOI 10.1002/smj.555
   Winston N, 2022, SUSTAIN DEV, V30, P191, DOI 10.1002/sd.2238
   Woods M., 2018, Making Sense, DOI [10.20933/100001112, DOI 10.20933/100001112, 10.20933/100001112.]
   Ziafati Bafarasat A., 2022, CP18 IZM I TECHN FAC
NR 87
TC 5
Z9 5
U1 2
U2 40
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0968-0802
EI 1099-1719
J9 SUSTAIN DEV
JI Sustain. Dev.
PD JUN
PY 2023
VL 31
IS 3
BP 1861
EP 1872
DI 10.1002/sd.2489
EA JAN 2023
PG 12
WC Development Studies; Green & Sustainable Science & Technology; Regional
   & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Science & Technology - Other Topics; Public
   Administration
GA I1YZ4
UT WOS:000907705000001
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Yu, ZY
   Gayah, VV
AF Yu, Zhengyao
   Gayah, Vikash V.
TI Resilience of Urban Street Network Configurations under Low Demands
SO TRANSPORTATION RESEARCH RECORD
LA English
DT Article
ID PERFORMANCE; ROBUSTNESS; LINKS
AB Urban street networks are subject to a variety of random disruptions. The impact of movement restrictions (e.g., one-way or left-turn restrictions) on the ability of a network to overcome these disruptions-that is, its resilience-has not been thoroughly studied. To address this gap, this paper investigates the resilience of one-way and two-way square grid street networks with and without left turns under light traffic conditions. Networks are studied using a simplified routing algorithm that can be examined analytically and a microsimulation that describes detailed vehicle dynamics. In the simplified method, routing choices are enumerated for all possible origin-destination (OD) combinations to identify how the removal of a link affects operations, both when knowledge of the disruption is and is not available at the vehicle's origin. Disruptions on two-way networks that allow left turns tend to have little impact on travel distances because of the availability of multiple shortest paths between OD pairs and the flexibility in route modification. Two-way networks that restrict left turns at intersections only have a single shortest-distance path between any OD pair and thus experience larger increases in travel distance, even when the disruption is known ahead of time. One-way networks sometimes have multiple shortest-distance routes and thus travel distances increase less than two-way network without left turns when links are disrupted. These results reveal a clear tradeoff between improved efficiency and reduced resilience for networks that have movement restrictions, and can be used as a basis to study network resilience under more congested scenarios and in more realistic network structures.
C1 [Yu, Zhengyao; Gayah, Vikash V.] Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Penn State Behrend; Pennsylvania State
   University - University Park
RP Gayah, VV (corresponding author), Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA.
EM gayah@engr.psu.edu
RI Gayah, Vikash/A-9052-2013; Yu, Zhengyao/JVY-7920-2024
OI Yu, Zhengyao/0000-0001-8723-5934; Gayah, Vikash/0000-0002-0648-3360
FU NSF [CMMI1749200]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This
   research was supported by NSF Grant CMMI1749200.
CR Adams TM, 2012, J TRANSP ENG, V138, P1403, DOI 10.1061/(ASCE)TE.1943-5436.0000415
   [Anonymous], 2004, FHWAHOP05004
   Baco MeaganElizabeth., 2009, One-Way to Two-Way Street Conversions as a Preservation and Downtown Revitalization Tool: The Case Study of Upper King Street, Charleston, South Carolina
   Barker K, 2013, RELIAB ENG SYST SAFE, V117, P89, DOI 10.1016/j.ress.2013.03.012
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Berche B, 2012, ADV COMPLEX SYST, V15, DOI 10.1142/S0219525912500634
   Chen LC, 2012, TRANSPORT SCI, V46, P109, DOI 10.1287/trsc.1110.0376
   Daganzo CF, 2011, TRANSPORT RES B-METH, V45, P278, DOI 10.1016/j.trb.2010.06.006
   Dalziell EP, 2004, Int Forum Eng Decis Mak, P17
   DePrator AJ, 2017, TRANSPORT RES REC, P58, DOI 10.3141/2622-06
   Dijkstra E.W., 1959, Numer. Math, V1, P269
   Doig JC, 2013, TRANSPORT RES REC, P68, DOI 10.3141/2390-08
   Gayah VV, 2012, TRANSPORT RES REC, P76, DOI 10.3141/2301-09
   Girault JT, 2016, TRANSPORT RES REC, P36, DOI 10.3141/2560-05
   Ip WH, 2009, INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS, P618, DOI 10.1109/CSO.2009.294
   Jenelius E, 2006, TRANSPORT RES A-POL, V40, P537, DOI 10.1016/j.tra.2005.11.003
   Lesort J. B., 1996, P 13 INT S TRANSP TR
   Liu S., 2008, 200603 VPI MID U TRA
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Ortigosa J., 2016, 95 ANN M TRANSP RES
   Ortigosa J, 2014, CITIES, V36, P18, DOI 10.1016/j.cities.2013.08.006
   Poorzahedy H, 2005, TRANSPORTATION, V32, P65, DOI 10.1007/s11116-004-1139-y
   Reyes-Gómez A, 2017, ZOOKEYS, P1, DOI 10.3897/zookeys.665.10476
   Schrank D., 2015, Appendix A: Methodology for the 2015 urban mobility scorecard
   Scott DM, 2006, J TRANSP GEOGR, V14, P215, DOI 10.1016/j.jtrangeo.2005.10.003
   Speck Jeff., 2012, WALKABLE CITY DOWNTO
   Sullivan JL, 2010, TRANSPORT RES A-POL, V44, P323, DOI 10.1016/j.tra.2010.02.003
   Ta C, 2009, TRANSPORT RES REC, P19, DOI 10.3141/2097-03
   von Ferber C, 2012, J TRANSP SECUR, V5, P199, DOI 10.1007/s12198-012-0092-9
   Walker G. W., 2000, URB STREET S DALL TE
NR 31
TC 4
Z9 4
U1 0
U2 19
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0361-1981
EI 2169-4052
J9 TRANSPORT RES REC
JI Transp. Res. Record
PD SEP
PY 2020
VL 2674
IS 9
BP 982
EP 994
AR 0361198120933269
DI 10.1177/0361198120933269
EA JUL 2020
PG 13
WC Engineering, Civil; Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Transportation
GA NY6XW
UT WOS:000547941100001
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Salm, JAP
   Bockarjova, M
   Botzen, WJW
   Runhaar, HAC
AF Salm, J. A. Papineau
   Bockarjova, Marija
   Botzen, W. J. W.
   Runhaar, H. A. C.
TI Citizens? preferences and valuation of urban nature: Insights from two
   choice experiments
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Economic valuation; Stated preferences; Nature-based solutions; Dutch
   cities; Ecosystem services
ID WILLINGNESS-TO-PAY; GREEN INFRASTRUCTURE; CONTINGENT VALUATION;
   ECOSYSTEM SERVICES; AIR-POLLUTION; BENEFITS
AB Urban nature increases the liveability of cities and can improve their resilience to climate change. However, the value of urban nature often remains unknown, which results in its omission from urban planning decisions. Particularly the valuation of small-sized urban nature remains understudied. This study therefore employs a stated preference methodology to estimate the economic value of seven types of small urban nature and four associated ecosystem services. We perform two choice experiments: one with urban parks, urban forest and green corridors and another one with even smaller urban nature types (green roofs, green walls, street trees and green beds). The results of the choice analysis show that urban residents are willing to pay more for the former types of urban nature but not for the latter types. Urban parks are valued the most, followed by urban forests and green corridors. Within the category of the smallest urban nature types, street trees are valued most followed by green beds, whereas green walls and green roofs are least valued. We discuss opportunities and barriers to imple-menting economic valuation results in urban planning practices. Several policy and future research recom-mendations are proposed.
C1 [Salm, J. A. Papineau; Runhaar, H. A. C.] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.
   [Bockarjova, Marija] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
   [Botzen, W. J. W.] Univ Utrecht, Utrecht Univ Sch Econ USE, Utrecht, Netherlands.
   [Botzen, W. J. W.] Vrije Univ, Inst Environm Studies IVM, Amsterdam, Netherlands.
C3 Utrecht University; University of Twente; Utrecht University; Vrije
   Universiteit Amsterdam
RP Bockarjova, M (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
EM m.bockarjova@utwente.nl
RI Runhaar, Hens/L-5395-2013; Botzen, Wouter/L-3123-2013
OI Botzen, Wouter/0000-0002-8563-4963
FU project NATURVATION [730243]; project NATURANCE of the Horizon 2020
   Framework Programme of the European Union [101060464]; Horizon Europe -
   Pillar II [101060464] Funding Source: Horizon Europe - Pillar II
FX We would like to thank anonymous reviewers whose comments improved the
   manuscript significantly. We also acknowledge that this study was made
   possible through funding by the project NATURVATION (grant no 730243)
   and the project NATURANCE (grant No 101060464) of the Horizon 2020
   Framework Programme of the European Union.
CR [Anonymous], 2018, Ngene 1.2 User Manual and Reference Guide ChoiceMetrics
   Aoshima I, 2018, URBAN FOR URBAN GREE, V34, P166, DOI 10.1016/j.ufug.2018.06.018
   Badura T, 2021, LANDSCAPE URBAN PLAN, V215, DOI 10.1016/j.landurbplan.2021.104215
   Bertram C, 2017, LANDSCAPE URBAN PLAN, V159, P5, DOI 10.1016/j.landurbplan.2016.10.006
   Bockarjova M, 2020, ENVIRON SCI POLICY, V112, P293, DOI 10.1016/j.envsci.2020.06.024
   Bocˇkarjova M., 2021, EUR URBAN REG STUD, V8, P177
   Bockarjova M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-23983-3
   Bockarjova M, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106480
   Borzino N, 2020, CLIMATE, V8, DOI 10.3390/cli8070082
   Brander LM, 2011, J ENVIRON MANAGE, V92, P2763, DOI 10.1016/j.jenvman.2011.06.019
   Chui TFM, 2016, WATER ENVIRON J, V30, P62, DOI 10.1111/wej.12159
   Collins R, 2017, LAND USE POLICY, V64, P114, DOI 10.1016/j.landusepol.2017.02.025
   Duijndam S, 2020, J NAT CONSERV, V56, DOI 10.1016/j.jnc.2020.125845
   Escobedo PJ, 2008, J ENVIRON MANAGE, V86, P148, DOI 10.1016/j.jenvman.2006.11.029
   Fleischer A, 2009, J AGR ECON, V60, P132, DOI 10.1111/j.1477-9552.2008.00179.x
   Gemeente Amsterdam, 2020, GROENV 2020 2050 LEE
   Gemeente Amsterdam, 2019, STARTN OMG AMST 2050
   Gemeente Arnhem, 2018, COAL ARNH 2018 2022
   Gemeente Eindhoven, 2019, EINDH KLOPP HART BRE
   Gemeente Groningen, 2018, OMG NEXT CIT GRON LE
   Gemeente Nijmegen, 2018, STARTN OMG NIJM
   Gemeente Rotterdam, 2018, VERK OMG ROTT
   Gemeente Utrecht, 2016, RUIMT STRAT 2016 UTR
   Ghosh S, 2013, PROCD SOC BEHV, V104, P601, DOI 10.1016/j.sbspro.2013.11.154
   Giergiczny M, 2014, AMBIO, V43, P492, DOI 10.1007/s13280-014-0516-9
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Haghani M, 2021, J CHOICE MODEL, V41, DOI 10.1016/j.jocm.2021.100309
   Haghani M, 2021, J CHOICE MODEL, V41, DOI 10.1016/j.jocm.2021.100322
   Hanley N, 1998, ENVIRON RESOUR ECON, V11, P413, DOI 10.1023/A:1008287310583
   Hardin Perry J., 2007, Urban Forestry & Urban Greening, V6, P63, DOI 10.1016/j.ufug.2007.01.005
   Hensher DA, 2015, APPLIED CHOICE ANALYSIS, 2ND EDITION, P1, DOI 10.1017/CBO9781316136232
   Hoek G, 2002, LANCET, V360, P1203, DOI 10.1016/S0140-6736(02)11280-3
   Kalkman M., 2018, 4217897 UTR MUN
   Kien Onderzoek, 2022, KIEN OND METH
   Koetse MJ, 2017, ANN REGIONAL SCI, V58, P159, DOI 10.1007/s00168-016-0795-0
   Lafortezza Raffaele, 2018, Environ Res, V165, P431, DOI 10.1016/j.envres.2017.11.038
   Mell IC, 2013, URBAN FOR URBAN GREE, V12, P296, DOI 10.1016/j.ufug.2013.04.006
   Morakinyo TE, 2018, BUILD ENVIRON, V137, P157, DOI 10.1016/j.buildenv.2018.04.012
   Office for National Statistics, 2022, AV STERL EXCH RAT EU
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Paulin M., 2019, 20190021 NAT I NAT H, DOI [10.21945/RIVM-2019-0021, DOI 10.21945/RIVM-2019-0021]
   Pearson AR., 2017, OXFORD RES ENCY CLIM, DOI DOI 10.1093/ACREFORE/9780190228620.013.412
   Pitman SD, 2015, T ROY SOC SOUTH AUST, V139, P97, DOI 10.1080/03721426.2015.1035219
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Tian YQ, 2020, J ENVIRON MANAGE, V260, DOI 10.1016/j.jenvman.2020.110140
   Tyrväinen L, 2001, J ENVIRON MANAGE, V62, P75, DOI 10.1006/jema.2001.0421
   Welling M, 2022, ENVIRON RESOUR ECON, V82, P257, DOI 10.1007/s10640-022-00675-0
   World Bank, 2022, INFL CONS PRIC ANN P
   Yoo SH, 2008, J ENVIRON MANAGE, V86, P308, DOI 10.1016/j.jenvman.2006.12.008
NR 49
TC 11
Z9 12
U1 8
U2 35
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD JUN
PY 2023
VL 208
AR 107797
DI 10.1016/j.ecolecon.2023.107797
EA MAR 2023
PG 10
WC Ecology; Economics; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Business & Economics
GA D6LL6
UT WOS:000969825000001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Perera, ATD
   Hong, TZ
AF Perera, A. T. D.
   Hong, Tianzhen
TI Vulnerability and resilience of urban energy ecosystems to extreme
   climate events: A systematic review and perspectives
SO RENEWABLE & SUSTAINABLE ENERGY REVIEWS
LA English
DT Review
DE Urban system; Energy ecosystem; Climate change; Extreme climate event;
   Resilience; Modeling
ID FUTURE WEATHER DATA; POWER-SYSTEMS; SWISS VILLAGE; RISK; IMPACTS;
   INFRASTRUCTURE; OPTIMIZATION; DESIGN; SIMULATION; GENERATION
AB We reviewed the present studies on the vulnerability and resilience of the energy ecosystem (most parts of the energy ecosystem), considering extreme climate events. This study revealed that the increased interactions formed during the transformation of the energy landscape into an ecosystem could notably increase the vulnerability of the energy infrastructure. Such complex ecosystem cannot be assessed using the present state of the art models used by the energy system modelers. Therefore, this study introduces a novel analogy known as the COVID analogy to understand the propagation of disruption within and beyond the energy ecosystem and organized the present state of the art based on the COVID analogy. The analogy helps to categorize the vulnerability of the energy infrastructure into three stages. The study revealed that although there are many publications covering the vulnerability and resilience of the energy infrastructure, considering extreme climate events, the majority are focused on the direct impact of extreme climate on the energy ecosystem. In addition, most of the studies do not consider the impact of future climate variations during this assessment. The propa-gation of disruptions was assessed mainly for wildfires and hurricanes. Further, there is a clear research gap in considering vulnerability assessment for interconnected energy infrastructure. The transformation of energy systems into a complex ecosystem notably increases the complexity, making it difficult to assess vulnerability and resilience. A shift from a centralized to decentralized modeling architecture could be beneficial when considering the complexities brought by that transformation. Hybrid models consisting of both physical and data-driven machine learning techniques could also be beneficial in this context.
C1 [Perera, A. T. D.] Princeton Univ, Andlinger Ctr Energy&Environment, Princeton, NJ 08540 USA.
   [Perera, A. T. D.; Hong, Tianzhen] Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA.
C3 Princeton University; United States Department of Energy (DOE); Lawrence
   Berkeley National Laboratory
RP Perera, ATD (corresponding author), Princeton Univ, Andlinger Ctr Energy&Environment, Princeton, NJ 08540 USA.; Perera, ATD (corresponding author), Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA.
EM atperera@lbl.gov
RI Perera, Amarasinghage/KSL-7665-2024; Perera, Amarasinghage Tharindu
   Dasun/D-7408-2013; Hong, Tianzhen/D-3256-2013
OI Perera, Amarasinghage Tharindu Dasun/0000-0002-0461-8874; Hong,
   Tianzhen/0000-0003-1886-9137
FU Laboratory Directed Research and Development (LDRD) Program of Lawrence
   Berkeley National Laboratory [DE-AC02-05CH11231]
FX This work was supported by the Laboratory Directed Research and
   Development (LDRD) Program of Lawrence Berkeley National Laboratory,
   provided by the Director, Office of Science, of the U.S. Department of
   Energy under Contract No. DE-AC02-05CH11231.
CR Abdin AF, 2019, RENEW SUST ENERG REV, V112, P706, DOI 10.1016/j.rser.2019.06.006
   Amirioun MH, 2019, IEEE T POWER SYST, V34, P2160, DOI 10.1109/TPWRS.2018.2881954
   Amraee T, 2021, IEEE T IND INF, P1, DOI [10.1109/TII.2021.3074397.-1, DOI 10.1109/TII.2021.3074397.-1]
   [Anonymous], 2010, CITIES CLIMATE CHANG
   [Anonymous], 2021, 2021 WILDFIRE MITIGA, P1013
   [Anonymous], 2014, IPCC Fifth Assessment Synthesis Report, Climate Change 2014 Synthesis Report
   Arghandeh R, 2016, RENEW SUST ENERG REV, V58, P1060, DOI 10.1016/j.rser.2015.12.193
   Arrighi C, 2021, NAT HAZARD EARTH SYS, V21, P1955, DOI 10.5194/nhess-21-1955-2021
   Asprone D, 2014, URBAN NETWORK RESILI, P4069
   Athari MH, 2020, IEEE T SUSTAIN ENERG, V11, P1067, DOI 10.1109/TSTE.2019.2917842
   Baghbanzadeh D, 2021, SUSTAIN ENERGY GRIDS, V27, DOI 10.1016/j.segan.2021.100503
   Bajpai P, 2012, RENEW SUST ENERG REV, V16, P2926, DOI 10.1016/j.rser.2012.02.009
   Balmes JR, 2018, NEW ENGL J MED, V378, P881, DOI 10.1056/NEJMp1716846
   Baniassadi A, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab28ba
   Bennett JA, 2021, NAT ENERGY, V6, P240, DOI 10.1038/s41560-020-00758-6
   Bernal-Agustín JL, 2009, RENEW SUST ENERG REV, V13, P2111, DOI 10.1016/j.rser.2009.01.010
   Bloomfield RE, 2017, RELIAB ENG SYST SAFE, V167, P198, DOI 10.1016/j.ress.2017.05.030
   Busby JW, 2021, ENERGY RES SOC SCI, V77, DOI 10.1016/j.erss.2021.102106
   Cantelmi R., 2021, Environment Systems & Decisions, V41, P341, DOI 10.1007/s10669-020-09795-8
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chandramowli SN, 2014, SUSTAIN ENERGY TECHN, V5, P62, DOI 10.1016/j.seta.2013.11.003
   Chen H, 2020, IEEE POWER ENERGY M, V18, P20, DOI 10.1109/MPE.2020.2985437
   Chicco G, 2009, RENEW SUST ENERG REV, V13, P535, DOI 10.1016/j.rser.2007.11.014
   Cicilio P, 2020, ELECTR POW SYST RES, V189, DOI 10.1016/j.epsr.2020.106801
   Ciscar JC, 2014, ENERG ECON, V46, P531, DOI 10.1016/j.eneco.2014.07.003
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   Cole W, 2020, SOL ENERGY, V205, P37, DOI 10.1016/j.solener.2020.04.094
   Crawley DB, 2007, BUILDING SIMULATION 2007, VOLS 1-3, PROCEEDINGS, P1115
   Cross BD, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135730
   Davis SJ, 2018, SCIENCE, V360, P1419, DOI 10.1126/science.aas9793
   Davis SJ, 2010, SCIENCE, V329, P1330, DOI 10.1126/science.1188566
   Dehghani NL, 2021, APPL ENERG, V285, DOI 10.1016/j.apenergy.2020.116355
   Demissie AA, 2016, APPL ENERG, V182, P442, DOI 10.1016/j.apenergy.2016.08.106
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Di Zhang, 2019, Electricity Journal, V32, P7, DOI 10.1016/j.tej.2019.05.013
   Donk P, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-0885-6
   Eisenberg DA, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000820
   Erickson E, 2020, INNOV SMART GRID TEC, DOI 10.1109/isgt45199.2020.9087666
   Fang YP, 2017, IEEE SYST J, V11, P1632, DOI 10.1109/JSYST.2014.2352152
   Fang YP, 2015, RISK ANAL, V35, P594, DOI 10.1111/risa.12396
   Farah S, 2019, ENERG BUILDINGS, V183, P749, DOI 10.1016/j.enbuild.2018.11.045
   Feldpausch-Parker AM, 2018, RENEW SUST ENERG REV, V82, P1961, DOI 10.1016/j.rser.2017.06.015
   Fisk WJ, 2015, BUILD ENVIRON, V86, P70, DOI 10.1016/j.buildenv.2014.12.024
   Geidl M, 2007, IEEE POWER ENERGY M, V5, P24, DOI 10.1109/MPAE.2007.264850
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Guan XY, 2018, P NATL ACAD SCI USA, V115, pEB125, DOI 10.1073/pnas.1722313115
   Gupta S, 2018, INT J ELEC POWER, V94, P77, DOI 10.1016/j.ijepes.2017.06.033
   Hamilton WAH, 2009, PROC INST CIV ENG-U, V162, P109, DOI 10.1680/udap.2009.162.3.109
   Hashemi MR, 2021, RENEW ENERG, V175, P593, DOI 10.1016/j.renene.2021.05.042
   Hauser C., 2021, N. Y Times
   Hay Catherine, 2020, Electricity Journal, V33, DOI 10.1016/j.tej.2020.106710
   Heracleous C, 2017, RELIAB ENG SYST SAFE, V165, P89, DOI 10.1016/j.ress.2017.03.028
   Höltinger S, 2019, ENERGY, V178, P695, DOI 10.1016/j.energy.2019.04.128
   Hojjatinejad S, 2021, INNOV SMART GRID TEC, DOI 10.1109/ISGT49243.2021.9372206
   Hosseini M, 2018, J BUILD ENG, V17, P107, DOI 10.1016/j.jobe.2018.02.001
   Hosseini MM, 2022, IEEE T IND INFORM, V18, P2100, DOI 10.1109/TII.2021.3086080
   Hu P, 2020, PHYSICA A, V540, DOI 10.1016/j.physa.2019.123230
   Huang J, 2020, J RENEW SUSTAIN ENER, V12, DOI 10.1063/5.0012711
   Imran M, 2018, RENEW SUST ENERG REV, V81, P552, DOI 10.1016/j.rser.2017.08.028
   Javanroodi K, 2019, BUILDINGS-BASEL, V9, DOI 10.3390/buildings9080189
   Jazebi S, 2020, IEEE T POWER DELIVER, V35, P430, DOI [10.1109/TPWRD.2019.2930055, 10.1109/TPWRD.2019.2930095]
   Jin Z, 2020, 2020 AS PAC INT S AD, P1, DOI [10.1109/APARM49247.2020.9209434, DOI 10.1109/APARM49247.2020.9209434]
   Jordaan SM, 2018, B ATOM SCI, V74, P95, DOI 10.1080/00963402.2018.1436810
   Kalvelage K, 2014, ENERG BUILDINGS, V76, P373, DOI 10.1016/j.enbuild.2014.03.009
   Kamissoko D, 2019, STRUCT INFRASTRUCT E, V15, P427, DOI 10.1080/15732479.2018.1546327
   Khomami MS, 2018, ELECTR POW SYST RES, V165, P1, DOI 10.1016/j.epsr.2018.08.016
   Kong PY, 2020, IEEE ACM T NETWORK, V28, P1899, DOI 10.1109/TNET.2020.3001759
   Korkali M, 2017, SCI REP-UK, V7, DOI 10.1038/srep44499
   Koufakis EI, 2010, IEEE T POWER DELIVER, V25, P1077, DOI 10.1109/TPWRD.2009.2035128
   Larsen MAD, 2020, ENERG BUILDINGS, V226, DOI 10.1016/j.enbuild.2020.110397
   Larsen P.H., 2015, ASSESSING CHANGES RE
   Le Guen M, 2018, ENERG BUILDINGS, V158, P906, DOI 10.1016/j.enbuild.2017.10.057
   Lee SE, 2013, BUILD SERV ENG RES T, V34, P203, DOI 10.1177/0143624412439485
   Li MC, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124413
   Luo N, 2019, SCI TOTAL ENVIRON, V686, P1251, DOI 10.1016/j.scitotenv.2019.05.467
   Mai T. T., 2018, Electrification Futures Study: Scenarios of Electric Technology Adoption and Power Consumption for the United States, DOI DOI 10.2172/1459351
   Martin N, 2021, RENEW SUST ENERG REV, V137, DOI 10.1016/j.rser.2020.110617
   Mauree D, 2019, RENEW SUST ENERG REV, V112, P733, DOI 10.1016/j.rser.2019.06.005
   Mauree D, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041134
   Mavromatidis G, 2018, ENERGY, V156, P709, DOI 10.1016/j.energy.2018.05.081
   Mavromatidis G, 2018, APPL ENERG, V222, P932, DOI 10.1016/j.apenergy.2018.04.019
   Mazur C, 2019, APPL ENERG, V235, P219, DOI 10.1016/j.apenergy.2018.10.129
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mendizabal M, 2018, RENEW SUST ENERG REV, V94, P410, DOI 10.1016/j.rser.2018.06.003
   Messier KP, 2019, ENVIRON SCI TECH LET, V6, P696, DOI 10.1021/acs.estlett.9b00599
   Mirhassani S, 2015, RENEW SUST ENERG REV, V49, P121, DOI 10.1016/j.rser.2015.04.064
   Moazami A, 2019, APPL ENERG, V238, P696, DOI 10.1016/j.apenergy.2019.01.085
   Mohagheghi S, 2015, INT J ELEC POWER, V73, P843, DOI 10.1016/j.ijepes.2015.05.035
   Mohajeri N, 2019, RENEW ENERG, V143, P810, DOI 10.1016/j.renene.2019.05.033
   Morakinyo TE, 2019, RENEW ENERG, V142, P73, DOI 10.1016/j.renene.2019.04.077
   Muhs JW, 2021, IEEE T POWER DELIVER, V36, P3681, DOI 10.1109/TPWRD.2020.3047101
   Murray P, 2018, APPL ENERG, V231, P1285, DOI 10.1016/j.apenergy.2018.08.106
   Mutschler R, 2021, APPL ENERG, V288, DOI 10.1016/j.apenergy.2021.116636
   Nakarmi U, 2020, IEEE T NETW SCI ENG, V7, P1079, DOI 10.1109/TNSE.2019.2904008
   Nazaripouya H, 2020, IEEE POWER ENERGY SO, P1, DOI DOI 10.1109/PESGM41954.2020.9281708
   Nelson K, 2020, SUSTAIN RESIL INFRAS, V5, P311, DOI 10.1080/23789689.2019.1578165
   Nesti T, 2018, PHYS REV LETT, V120, DOI 10.1103/PhysRevLett.120.258301
   Nik VM, 2021, NATL SCI REV, V8, DOI 10.1093/nsr/nwaa134
   Nik VM, 2020, ONE EARTH, V3, P423, DOI 10.1016/j.oneear.2020.09.013
   Noebels M, 2021, IEEE T POWER SYST, V36, P3821, DOI 10.1109/TPWRS.2021.3071028
   Noebels M, 2022, IEEE SYST J, V16, P374, DOI 10.1109/JSYST.2020.3037400
   Ouyang M, 2016, RELIAB ENG SYST SAFE, V154, P106, DOI 10.1016/j.ress.2016.05.007
   Panigrahi P, 2020, INT T ELECTR ENERGY, V30, DOI 10.1002/2050-7038.12401
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Pantua CAJ, 2020, RENEW ENERG, V160, P770, DOI 10.1016/j.renene.2020.06.023
   Patt A, 2013, CLIMATIC CHANGE, V121, P93, DOI 10.1007/s10584-013-0887-0
   Perera ATD, 2021, ADV APPL ENERGY, V3, DOI 10.1016/j.adapen.2021.100046
   Perera ATD, 2021, APPL ENERG, V285, DOI 10.1016/j.apenergy.2020.116430
   Perera ATD, 2020, NAT ENERGY, V5, P150, DOI 10.1038/s41560-020-0558-0
   Perera ATD, 2019, APPL ENERG, V253, DOI 10.1016/j.apenergy.2019.113572
   Perera ATD, 2018, APPL ENERG, V222, P847, DOI 10.1016/j.apenergy.2018.04.004
   Perera ATD, 2017, ENERGY, V134, P103, DOI 10.1016/j.energy.2017.06.002
   Pes MP, 2017, RENEW ENERG, V109, P110, DOI 10.1016/j.renene.2016.12.101
   Qi JJ, 2015, IEEE T POWER SYST, V30, P804, DOI 10.1109/TPWRS.2014.2337284
   Qian MH, 2021, ENERGIES, V14, DOI 10.3390/en14133735
   Qin PC, 2020, APPL ENERG, V279, DOI 10.1016/j.apenergy.2020.115694
   Ram M, 2022, ENERGY, V238, DOI 10.1016/j.energy.2021.121690
   Ramsebner J, 2021, WIRES ENERGY ENVIRON, V10, DOI 10.1002/wene.396
   Ratnam EL., 2020, ELECT J, V33, P106833, DOI [10.1016/J.TEJ.2020.106833, 10.1016/j.tej.2020.106833]
   Rhodes N, 2021, IEEE T POWER SYST, V36, P3118, DOI 10.1109/TPWRS.2020.3046796
   Rios MA, 2002, IEEE T POWER SYST, V17, P543, DOI 10.1109/TPWRS.2002.800872
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(23)01859-7, 10.1016/S0140-6736(21)01787-6]
   Rose S, 2013, RISK ANAL, V33, P2126, DOI 10.1111/risa.12085
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Salimi M, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101948
   Sathaye JA, 2013, IEEE POWER ENERGY M, V11, P32, DOI 10.1109/MPE.2013.2245582
   Schoolov Katie., 2021, CNBC
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shekhtman LM, 2016, CHAOS SOLITON FRACT, V90, P28, DOI 10.1016/j.chaos.2016.02.002
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Shield SA, 2021, ENERGY, V218, DOI 10.1016/j.energy.2020.119434
   Soulinaris GK, 2014, ELECTR POW SYST RES, V117, P76, DOI 10.1016/j.epsr.2014.07.031
   Su YF, 2020, APPL ENERG, V276, DOI 10.1016/j.apenergy.2020.115541
   Sukhwani V, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100005
   Tandon S, 2021, IEEE POWER ENERG CON, DOI 10.1109/PECI51586.2021.9435252
   Tavakoli M, 2018, INT J ELEC POWER, V100, P1, DOI 10.1016/j.ijepes.2018.02.022
   Thacker S, 2017, RELIAB ENG SYST SAFE, V167, P30, DOI 10.1016/j.ress.2017.04.023
   Thomas SR, 2021, INT J CLIMATOL, V41, pE2321, DOI 10.1002/joc.6848
   Tian ZY, 2020, ENERGIES, V13, DOI 10.3390/en13030658
   Trakas DN, 2018, IEEE T POWER SYST, V33, P2260, DOI 10.1109/TPWRS.2017.2733224
   Tsavdaroglou M, 2018, INT J CRIT INFR PROT, V21, P57, DOI 10.1016/j.ijcip.2018.04.002
   Tsujimoto M, 2018, TECHNOL FORECAST SOC, V136, P49, DOI 10.1016/j.techfore.2017.06.032
   van der Wiel K, 2019, RENEW SUST ENERG REV, V111, P261, DOI 10.1016/j.rser.2019.04.065
   Wadsack K, 2019, CLEAN ENERGY-CHINA, V3, P241, DOI 10.1093/ce/zkz018
   Wang ZC, 2020, APPL ENERG, V269, DOI 10.1016/j.apenergy.2020.114942
   Ward DM, 2013, CLIMATIC CHANGE, V121, P103, DOI 10.1007/s10584-013-0916-z
   Wischkaemper J.A., 2014, PROC IEEE PES ISGT, P1
   Wu XY, 2021, IEEE T POWER SYST, V36, P4778, DOI 10.1109/TPWRS.2021.3068409
   Xu J, 2021, IEEE T POWER SYST, V36, P204, DOI 10.1109/TPWRS.2020.3008428
   Yang YC, 2021, APPL ENERG, V298, DOI 10.1016/j.apenergy.2021.117246
   Yang ZJ, 2020, IET SMART GRID, V3, P207, DOI 10.1049/iet-stg.2019.0169
   Zhang XX, 2012, RENEW SUST ENERG REV, V16, P5309, DOI 10.1016/j.rser.2012.05.040
   Zhou YR, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0048-z
NR 153
TC 38
Z9 38
U1 29
U2 127
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1364-0321
EI 1879-0690
J9 RENEW SUST ENERG REV
JI Renew. Sust. Energ. Rev.
PD MAR
PY 2023
VL 173
AR 113038
DI 10.1016/j.rser.2022.113038
EA DEC 2022
PG 19
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Energy & Fuels
GA 7M2UN
UT WOS:000906510700001
OA Green Submitted, Bronze
DA 2025-04-22
ER

PT J
AU Liu, OY
   Russo, A
AF Liu, On Yi
   Russo, Alessio
TI Assessing the contribution of urban green spaces in green infrastructure
   strategy planning for urban ecosystem conditions and services
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban green spaces; Urban ecosystem conditions; Urban ecosystem service
   bundles; Green infrastructure; MAES; England
ID CITY; VEGETATION; COVER; AIR; BIODIVERSITY; TEMPERATURES; MANCHESTER;
   RESOLUTION; SURFACE; NOISE
AB Maintaining ecosystem services is a key adaption option towards sustainable cities and adaptive societies in securing citizens? health and wellbeing. This research investigates the contribution of using urban green space components as the basic units in green infrastructure strategy planning for urban ecosystem conditions and services. A total of 9 types of urban green spaces are selected and delineated from the high-resolution data. A combination of the quantification method of 6 common urban ecosystem services based on urban green spaces and the MAES framework in reference to literature data is used. A case study of Cheltenham, a typical urban town in England, is studied to present the new approach for local green infrastructure strategy development for urban ecosystem conditions and respective services in improving the resilience of a city in facing global climate change. Results show that changing the composition and spatial arrangement of urban green space components, synergy or trade-off of various services can be stimulated easily. The small scale of urban green space components allows local detail planning and potential integrated planning among other urban settlements.
C1 [Liu, On Yi; Russo, Alessio] Univ Gloucestershire, Sch Arts, Francis Close Hall Campus,Swindon Rd, Swindon GL50 4AZ, Wilts, England.
C3 University of Gloucestershire
RP Russo, A (corresponding author), Univ Gloucestershire, Sch Arts, Francis Close Hall Campus,Swindon Rd, Swindon GL50 4AZ, Wilts, England.
EM arusso@glos.ac.uk
RI Russo, Alessio/M-6352-2016
OI Russo, Alessio/0000-0002-0073-7243
CR Aertsens J., 2012, Literatuurstudie: Daarom groen! Waarom u wint bij groen in uw stad of gemeente, P144
   Andersson E, 2015, ECOSYST SERV, V12, P157, DOI 10.1016/j.ecoser.2014.08.001
   Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   Ardila JP, 2012, INT J APPL EARTH OBS, V15, P57, DOI 10.1016/j.jag.2011.06.005
   Armson D, 2012, URBAN FOR URBAN GREE, V11, P245, DOI 10.1016/j.ufug.2012.05.002
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Baumgardner D, 2012, ENVIRON POLLUT, V163, P174, DOI 10.1016/j.envpol.2011.12.016
   Belmeziti A, 2018, SUSTAIN CITIES SOC, V43, P1, DOI 10.1016/j.scs.2018.07.014
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Burkhard B., 2018, One Ecosystem, V3, pe22831, DOI 10.3897/oneeco.3.e22831
   Burkhard B., 2009, Landscape Online
   Burkhard B, 2017, MAPPING ECOSYSTEM SERVICES, P23
   Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019
   Cameron RWF, 2012, URBAN FOR URBAN GREE, V11, P129, DOI 10.1016/j.ufug.2012.01.002
   Cavanagh JAE, 2009, URBAN FOR URBAN GREE, V8, P21, DOI 10.1016/j.ufug.2008.10.002
   CEDD Civil Engineering and Development Department, 2020, KAI TAK DEV URB DES
   CEH Centre for Ecology & Hydrology, 2020, NAT ENGL NAT CAP MAP
   Chang J, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11559-5
   Cheltenham Borough Council, 2020, INTR HIST CHELT
   Cheltenham Borough Council, 2006, CHELT BOR LOC PLAN 2
   *CIT VANC, 2018, GREEN BUILD POL REZ
   Copernicus, 2020, COP SENT 2 COL INFR
   Copernicus, 2020, COR LAND COV 2018 ES
   Dallimer M, 2012, BIOSCIENCE, V62, P47, DOI 10.1525/bio.2012.62.1.9
   Davies ZG, 2011, J APPL ECOL, V48, P1125, DOI 10.1111/j.1365-2664.2011.02021.x
   Department of Environment Land Water and Planning, 2017, URBAN DESIGN GUIDELI
   Derkzen ML, 2015, J APPL ECOL, V52, P1020, DOI 10.1111/1365-2664.12469
   EEA European Environmental Agency, 2020, COMMON INT CLASSIFIC
   Ellis EA, 2019, COMPUT ENVIRON URBAN, V73, P85, DOI 10.1016/j.compenvurbsys.2018.08.006
   Escobedo FJ, 2009, LANDSCAPE URBAN PLAN, V90, P102, DOI 10.1016/j.landurbplan.2008.10.021
   European Commission, 2019, MAINT REST EC TARG 2
   Faehnle M, 2015, GEOJOURNAL, V80, P411, DOI 10.1007/s10708-014-9560-z
   Fang CF, 2003, LANDSCAPE URBAN PLAN, V63, P187, DOI 10.1016/S0169-2046(02)00190-1
   Gikov A., 2016, SCI C GEOGRAPHICAL A
   Gren Å, 2018, SUSTAIN CITIES SOC, V40, P75, DOI 10.1016/j.scs.2018.02.031
   Grêt-Regamey A, 2015, ECOSYST SERV, V13, P16, DOI 10.1016/j.ecoser.2014.10.008
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   Haines-Young R, 2013, CICES V4 3 REPORT PR
   Holt AR, 2015, ECOSYST SERV, V16, P33, DOI 10.1016/j.ecoser.2015.08.007
   HUETE AR, 1994, IEEE T GEOSCI REMOTE, V32, P897, DOI 10.1109/36.298018
   Jiang ZY, 2006, REMOTE SENS ENVIRON, V101, P366, DOI 10.1016/j.rse.2006.01.003
   Kourdounouli C, 2020, J ENVIRON PLANN MAN, V63, P798, DOI 10.1080/09640568.2019.1613966
   Leprieur C, 2000, INT J REMOTE SENS, V21, P281, DOI 10.1080/014311600210830
   Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001
   Lusardi J., 2014, NAT ENGL RES REP, V056
   Lyytimäki J, 2009, URBAN FOR URBAN GREE, V8, P309, DOI 10.1016/j.ufug.2009.09.003
   Maes J., 2018, Mapping and Assessment of Ecosystems and Their Services: An Analytical Framework for Ecosystem Condition
   Maes J, 2016, ECOSYST SERV, V17, P14, DOI 10.1016/j.ecoser.2015.10.023
   Mandall NA, 2005, BRIT DENT J, V199, P659, DOI 10.1038/sj.bdj.4812930
   McDonald AG, 2007, ATMOS ENVIRON, V41, P8455, DOI 10.1016/j.atmosenv.2007.07.025
   McPhearson T, 2013, ECOSYST SERV, V5, pE11, DOI 10.1016/j.ecoser.2013.06.005
   McPherson EG, 2011, LANDSCAPE URBAN PLAN, V99, P40, DOI 10.1016/j.landurbplan.2010.08.011
   Mell IC, 2016, URBAN FOR URBAN GREE, V18, P257, DOI 10.1016/j.ufug.2016.06.015
   Met Office, 2016, S W ENGL CLIM
   Momeni R, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8020088
   Moskal LM, 2011, REMOTE SENS-BASEL, V3, P2243, DOI 10.3390/rs3102243
   NAEI National Atmospheric Emission Inventory, 2019, UK EM INT MAP CSV DA
   Nahuelhual L, 2015, ECOSYST SERV, V13, P162, DOI 10.1016/j.ecoser.2015.03.005
   Natural England, 2014, ASSESSING POTENTIAL
   Ordnance Survey GB, 2019, BOUND LIN T SHAPE GE
   Ordnance Survey GB, 2019, OS MASTERMAP GREENSP
   Ostle NJ, 2009, LAND USE POLICY, V26, pS274, DOI 10.1016/j.landusepol.2009.08.006
   Pandit A, 1996, J IRRIG DRAIN ENG, V122, P211, DOI 10.1061/(ASCE)0733-9437(1996)122:4(211)
   Peng WF, 2019, J CLEAN PROD, V233, P353, DOI 10.1016/j.jclepro.2019.05.355
   Pulighe G, 2016, ECOSYST SERV, V22, P1, DOI 10.1016/j.ecoser.2016.09.004
   Radford KG, 2013, LANDSCAPE URBAN PLAN, V109, P117, DOI 10.1016/j.landurbplan.2012.10.007
   Ramyar R, 2017, APPL ECOL ENV RES, V15, P1193, DOI 10.15666/aeer/1503_11931209
   Ramyar R, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.135466
   Ronchi S, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101907
   Roussel F, 2017, ECOL INDIC, V83, P504, DOI 10.1016/j.ecolind.2017.07.046
   Russo A, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0377-8
   Russo A, 2017, AGR ECOSYST ENVIRON, V242, P53, DOI 10.1016/j.agee.2017.03.026
   Russo A, 2016, AIMS ENVIRON SCI, V3, P58, DOI 10.3934/environsci.2016.1.58
   Samara T, 2011, NOISE CONTROL ENG J, V59, P68, DOI 10.3397/1.3528970
   Sentinel-Hub, 2020, NORMALIZED DIFFERENC
   Shukla P.R., 2019, CLIMATE CHANGE LAND
   Skelhorn C, 2014, LANDSCAPE URBAN PLAN, V121, P129, DOI 10.1016/j.landurbplan.2013.09.012
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Waterfield T., 2018, GLOB WARM 1 5 C PREI
NR 80
TC 123
Z9 128
U1 47
U2 468
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD MAY
PY 2021
VL 68
AR 102772
DI 10.1016/j.scs.2021.102772
EA FEB 2021
PG 19
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA RI0EA
UT WOS:000636582200005
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Summers, JK
   Smith, LM
   Harwell, LC
   Buck, KD
AF Summers, J. Kevin
   Smith, Lisa M.
   Harwell, Linda C.
   Buck, Kyle D.
TI Conceptualizing holistic community resilience to climate events:
   Foundation for a climate resilience screening index
SO GEOHEALTH
LA English
DT Article
DE climate; climate resilience; resilience; holistic; vulnerability;
   recoverability
AB The concept of resilience has been evolving over the past decade as a way to address the current and future challenges nations, states, and cities face from a changing climate. Understanding how the environment (natural and built), climate event risk, societal interactions, and governance reflect community resilience for adaptive management is critical for envisioning urban and natural environments that can persist through extreme weather events and longer-term shifts in climate. To be successful, this interaction of these five domains must result in maintaining quality of life and ensuring equal access to the benefits or the protection from harm for all segments of the population. An exhaustive literature review of climate resilience approaches was conducted examining the two primary elements of resiliencevulnerability and recoverability. The results of this review were examined to determine if any existing frameworks addressed the above five major areas in an integrated manner. While some aspects of a resilience model were available for existing sources, no comprehensive approach was available. A new conceptual model for resilience to climate events is proposed that incorporates some available structures and addresses these five domains at a national, regional, state, and county spatial scale for a variety of climate-induced events ranging from superstorms to droughts and their concomitant events such as wildfires, floods, and pest invasions. This conceptual model will be developed in a manner that will permit comparisons among governance units (e.g., counties) and permit an examination of best reliance practices.
C1 [Summers, J. Kevin; Smith, Lisa M.; Harwell, Linda C.; Buck, Kyle D.] US EPA, Natl Hlth & Environm Effects Res Lab, Gulf Ecol Div, Gulf Breeze, FL 32561 USA.
C3 United States Environmental Protection Agency
RP Summers, JK (corresponding author), US EPA, Natl Hlth & Environm Effects Res Lab, Gulf Ecol Div, Gulf Breeze, FL 32561 USA.
EM summers.kevin@epa.gov
RI ; Buck, Kyle/L-6011-2016
OI Smith, Lisa/0000-0001-8474-3239; Buck, Kyle/0000-0001-7923-3664;
   Harwell, Linda/0000-0002-0445-6238; Summers, James/0000-0001-9002-3991
FU U.S. Environmental Protection Agency
FX The information in this document has been funded wholly (or in part) by
   the U.S. Environmental Protection Agency. It has been subjected to
   review by the National Health and Environmental Effects Research
   Laboratory and approved for publication. Approval does not signify that
   the contents reflect the views of the agency nor does mention of trade
   names or commercial products constitute endorsement or recommendation
   for use. This is contribution number ORD-020377 from the Gulf Ecology
   Division. The authors would like to sincerely thank Erin M. Hunter,
   Stephen F. Hafner, and Danielle M. Nelson for their assistance in
   developing this project. This manuscript addresses all the requirements
   of the AGU data policy, and the data can be accessed after application
   throughsummers.kevin@epa.gov.The key points of this manuscript include
   the following: (1) Community resilience is the combination of
   vulnerability and recoverability. (2) This manuscript offers an
   organizational framework for the creation of an index of community
   resilience to climate events. (3) This conceptual model is being
   populated for application for the U.S. at the county level. The ORCID
   IDs for the authors have been registered with GeoHealth.
CR Abdrabo M., 2014, 5 GLOB FOR URB RES A, P29
   Abrams JB, 2015, ECOL SOC, V20, DOI 10.5751/ES-07848-200334
   Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Alessa L, 2008, ENVIRON MANAGE, V42, P523, DOI 10.1007/s00267-008-9152-0
   [Anonymous], 2015, City Resilience Framework Rockefeller Foundation
   [Anonymous], 2016, 2016 ENV PERFORMANCE, DOI DOI 10.13140/RG.2.2.19868.90249
   [Anonymous], 383 SOPAC UNEP
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   [Anonymous], 2011, THESIS
   [Anonymous], SUSTAINABLE SOC INDE
   [Anonymous], 2012, DIRENAT IMP, DOI DOI 10.17226/13457
   [Anonymous], 2008, THINKING IN SYSTEMS
   [Arup Ove Partners and the Rockefeller Foundation Partners and the Rockefeller Foundation], 2014, City Resilience Framework, City Resilience Index
   Bache I., 2004, Public Policy and Administration, V19, P31, DOI [DOI 10.1177/095207670401900103, 10.1177/095207670401900103]
   Bache I., 2004, MULTILEVEL GOVERNANC, DOI 10.1093/0199259259.001.0001
   Baker A, 2009, THESIS
   Balica S.F., 2012, THESIS
   Batica J., 2015, Methodology for flood resilience assessment in urban environments and mitigation strategy development
   Baussan D., 2015, Social cohesion: The secret weapon in the fight for equitable climate resilience
   Benz A., 2001, GERMAN J URBAN STUDI, V40, P55
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Campbell-Lendrum D., 2003, Climate change and health: risks and responses
   Cassidy L, 2012, ECOL SOC, V17, DOI 10.5751/ES-04963-170411
   Cohen M.P., 2011, Cities in times of crisis: The response of local governments in light of the global economic crisis: The role of the formulation of human capital, urban innovation and strategic planning
   Colten CE, 2012, ECOL SOC, V17, DOI 10.5751/ES-05047-170305
   Cosens BA, 2012, ECOL SOC, V17, DOI 10.5751/ES-04986-170403
   Crowder LB, 2006, SCIENCE, V313, P617, DOI 10.1126/science.1129706
   Cutter S. L., 2009, SOCIAL VULNERABILITY, P5
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Esnard AM, 2011, NAT HAZARDS, V59, P833, DOI 10.1007/s11069-011-9799-3
   Esty D.C., 2005, Environmental sustainability index: Benchmarking national environmental stewardship, P47
   Eugenia Ibarraran Maria, 2009, Environment Development and Sustainability, V11, P549, DOI 10.1007/s10668-007-9129-9
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Folke C, 2010, ECOL SOC, V15
   Greenough G, 2001, ENVIRON HEALTH PERSP, V109, P191, DOI 10.2307/3435009
   Handmer J, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P231
   Hassler U, 2014, BUILD RES INF, V42, P119, DOI 10.1080/09613218.2014.873593
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Hooghe L, 2003, AM POLIT SCI REV, V97, P233
   Huitema D, 2009, ECOL SOC, V14
   Kafle Shesh Kanta, 2012, J Bus Contin Emer Plan, V5, P316
   Knieling J, 2012, CLIMATE CHANGE GOVER
   Kusumastuti RD, 2014, INT J DISAST RISK RE, V10, P327, DOI 10.1016/j.ijdrr.2014.10.007
   Lam NSN, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000193
   Lee V., 2012, Strategies for enhancing the built environment to support healthy eating and active living
   Leufkens J.-M, 2012, THESIS U TWENTE ENSC
   Li C, 2013, THESIS
   Lugo AE, 2000, SCI TOTAL ENVIRON, V262, P243, DOI 10.1016/S0048-9697(00)00526-X
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   MARSTON ST, 1985, Q J ECON, V100, P57, DOI 10.2307/1885735
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   Melillo JM, 2014, CLIMATE CHANGE IMPAC, P12, DOI [10.1061/(ASCE)1527-6988(2008)9:1(29), DOI 10.1061/(ASCE)1527-6988(2008)9:1(29)]
   National Fish Wildlife Plants Climate Adaptation Partnership, 2012, NAT FISH WILDL PLANT
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Pahl-Wostl C, 2012, ENVIRON SCI POLICY, V23, P24, DOI 10.1016/j.envsci.2012.07.014
   Peacock W., 2010, Advancing Resilience of Coastal Localities: Developing, Implementing, and Sustaining the Use of Coastal Resilience Indicators: A Final Report
   Peiró JM, 2015, SIOP ORGAN FRONT SER, P83
   Ramseur JonathanL., 2010, Oil Spills in US Coastal Waters: Background, Governance, and Issues for Congress
   Rapoport Amos., 1976, The Mutual Interaction of People and Their Built Environment: A Cross-Cultural Perspective
   Reusch TBH, 2005, P NATL ACAD SCI USA, V102, P2826, DOI 10.1073/pnas.0500008102
   Roof K, 2008, J ENVIRON HEALTH, V71, P24
   Schwartz P., 2003, An Abrupt Climate Change Scenario and Its Implications for United States National Security
   Steinbruner J.D., 2013, CLIMATE SOCIAL STRES
   Summers JK, 2012, AMBIO, V41, P327, DOI 10.1007/s13280-012-0256-7
   Summers JK, 2016, ECOL INDIC, V69, P295, DOI 10.1016/j.ecolind.2016.04.033
   Summers JK, 2014, SUSTAINABILITY-BASEL, V6, P3915, DOI 10.3390/su6063915
   Tobin G.A., 1999, ENVIRON HAZARDS-UK, V1, P13, DOI DOI 10.1016/S1464-28679900002-9
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   US EPA (Environ. Prot. Agency), 2015, EJSCREEN ENV JUST SC
   Vásquez-León M, 2003, GLOBAL ENVIRON CHANG, V13, P159, DOI 10.1016/S0959-3780(03)00034-7
   Vickerman S., 2014, ASSESSING ECOLOGICAL
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
NR 85
TC 38
Z9 40
U1 16
U2 55
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2471-1403
J9 GEOHEALTH
JI GeoHealth
PD JUN
PY 2017
VL 1
IS 4
BP 151
EP 164
DI 10.1002/2016GH000047
PG 14
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA VI0FS
UT WOS:000458208100002
PM 30148246
OA gold, Green Accepted, Green Published
DA 2025-04-22
ER

PT J
AU Tian, Y
   Lu, X
   Lu, XZ
   Li, MK
   Guan, H
AF Tian, Yuan
   Lu, Xiao
   Lu, Xinzheng
   Li, Mengke
   Guan, Hong
TI Quantifying the seismic resilience of two tall buildings designed using
   Chinese and US Codes
SO EARTHQUAKES AND STRUCTURES
LA English
DT Article
DE performance-based design method; seismic loss; resilience; tall
   building; design codes
ID NONLINEAR STRUCTURES; COLLAPSE SIMULATION; SIMPLIFIED MODEL; HAZARD
   ANALYSIS; PERFORMANCE
AB With ongoing development of earthquake engineering research and the lessons learnt from a series of strong earthquakes, the seismic design concept of "resilience" has received much attention. Resilience describes the capability of a structure or a city to recover rapidly after earthquakes or other disasters. As one of the main features of urban constructions, tall buildings have greater impact on the sustainability and resilience of major cities. Therefore, it is important and timely to quantify their seismic resilience. In this work, a quantitative comparison of the seismic resilience of two tall buildings designed according to the Chinese and US seismic design codes was conducted. The prototype building, originally designed according to the US code as part of the Tall Building Initiative (TBI) Project, was redesigned in this work according to the Chinese codes under the same design conditions. Two refined nonlinear finite element (FE) models were established for both cases and their seismic responses were evaluated at different earthquake intensities, including the service level earthquake (SLE), the design-based earthquake (DBE) and the maximum considered earthquake (MCE). In addition, the collapse fragility functions of these two building models were established through incremental dynamic analysis (IDA). Based on the numerical results, the seismic resilience of both models was quantified and compared using the new-generation seismic performance assessment method proposed by FEMA P-58. The outcomes of this study indicate that the seismic resilience of the building according to the Chinese design is slightly better than that according to the US design. The conclusions drawn from this research are expected to guide further in-depth studies on improving the seismic resilience of tall buildings.
C1 [Tian, Yuan; Li, Mengke] Tsinghua Univ, Beijing Engn Res Ctr Steel & Concrete Composite S, Beijing, Peoples R China.
   [Lu, Xiao] Beijing Jiaotong Univ, Dept Civil Engn, Beijing, Peoples R China.
   [Lu, Xinzheng] Tsinghua Univ, Dept Civil Engn, China Educ Minist, Key Lab Civil Engn Safety & Durabil, Beijing, Peoples R China.
   [Guan, Hong] Griffith Univ, Griffith Sch Engn, Gold Coast Campus, Nathan, Qld 4222, Australia.
C3 Tsinghua University; Beijing Jiaotong University; Tsinghua University;
   Griffith University
RP Lu, XZ (corresponding author), Tsinghua Univ, Dept Civil Engn, China Educ Minist, Key Lab Civil Engn Safety & Durabil, Beijing, Peoples R China.
EM luxz@tsinghua.edu.cn
RI Lu, Xinzheng/A-4315-2012; Li, Mengke/HHZ-1531-2022; Guan,
   Hong/C-6493-2014; Tian, Yuan/AAY-6610-2020
OI Lu, Xinzheng/0000-0002-3313-7420; Tian, Yuan/0000-0002-6217-3228; Guan,
   Hong/0000-0001-5053-5052; Lu, Xiao/0000-0003-1395-7701
FU National Key Technology RD Program [2015BAK17B03]
FX The authors are grateful for the financial support received from the
   National Key Technology R&D Program (No. 2015BAK17B03).
CR Almufti I., 2013, REDITM RATING SYSTEM
   [Anonymous], 2010, GB 50011-2010
   [Anonymous], GUID PERF BAS SEISM
   [Anonymous], 2009, FEMA P695
   Asgarian B, 2010, J CONSTR STEEL RES, V66, P178, DOI 10.1016/j.jcsr.2009.09.001
   ATC (Applied Technology Council), 2012, P581 ATC FEMA
   BAZZURRO P, 1994, J STRUCT ENG-ASCE, V120, P3345, DOI 10.1061/(ASCE)0733-9445(1994)120:11(3345)
   BAZZURRO P, 1994, J STRUCT ENG-ASCE, V120, P3320, DOI 10.1061/(ASCE)0733-9445(1994)120:11(3320)
   Bertero V.V., 1977, Struct. Eng. Mech., V53, P29
   Biondini F, 2015, EARTHQ ENG STRUCT D, V44, P2445, DOI 10.1002/eqe.2591
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chang CM, 2013, SMART STRUCT SYST, V11, P435, DOI 10.12989/sss.2013.11.5.435
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Christovasilis IP, 2009, EARTHQ ENG STRUCT D, V38, P477, DOI 10.1002/eqe.864
   Cimellaro GP, 2010, STRUCT INFRASTRUCT E, V6, P127, DOI 10.1080/15732470802663847
   Comerio M.C., 2000, EC BENEFITS DISASTER
   Comerio MC, 2010, EARTHQ SPECTRA, V26, P951, DOI 10.1193/1.3477993
   Decò A, 2013, EARTHQ ENG STRUCT D, V42, P1469, DOI 10.1002/eqe.2282
   Eads L, 2013, EARTHQ ENG STRUCT D, V42, P25, DOI 10.1002/eqe.2191
   Fan H, 2009, J CONSTR STEEL RES, V65, P1206, DOI 10.1016/j.jcsr.2008.10.005
   FEMA, 2012, P581 PEMA, V1
   FEMA, 2008, P58BD378 FEMA
   He MJ, 2014, EARTHQ STRUCT, V7, P571, DOI 10.12989/eas.2014.7.4.571
   Hemsas M, 2014, STRUCT ENG MECH, V51, P447
   Jacques C. C., 2014, EARTHQ SPECTRA, V30, P533, DOI DOI 10.1193/032013EQS074M
   Jiang HJ, 2014, STRUCT DES TALL SPEC, V23, P334, DOI 10.1002/tal.1040
   Kim S, 2013, STEEL COMPOS STRUCT, V14, P155
   Kircher C.A., 2003, P ATC 29 2 SEM SEISM
   Langdon Davis, 2010, PROGRAM COST MODEL P
   [刘希康 Liu Xikang], 2013, [地震, Earthquake], V33, P33
   Lu X, 2016, STRUCT DES TALL SPEC, V25, P926, DOI 10.1002/tal.1291
   Lu X, 2014, ENG STRUCT, V67, P109, DOI 10.1016/j.engstruct.2014.02.017
   Lu X, 2013, EARTHQ ENG STRUCT D, V42, P705, DOI 10.1002/eqe.2240
   Lu X, 2011, SCI CHINA TECHNOL SC, V54, P2549, DOI 10.1007/s11431-011-4548-0
   Lu XL, 2007, EARTHQ ENG STRUCT D, V36, P439, DOI 10.1002/eqe.634
   Lu XZ, 2016, ENG STRUCT, V110, P116, DOI 10.1016/j.engstruct.2015.11.039
   Lu XZ, 2015, STRUCT DES TALL SPEC, V24, P687, DOI 10.1002/tal.1206
   Lu XZ, 2015, FINITE ELEM ANAL DES, V98, P14, DOI 10.1016/j.finel.2015.01.006
   Lu XZ, 2013, J CONSTR STEEL RES, V82, P59, DOI 10.1016/j.jcsr.2012.12.004
   Mieler M., 2013, RESILIENT COMMUNITIE
   Moehle J., 2011, CASE STUDIES SEISMIC
   Nazri FM, 2014, FRONT STRUCT CIV ENG, V8, P19, DOI 10.1007/s11709-014-0240-3
   Poon D., 2011, STRUCT C, V2011
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Shi W, 2014, ADV STRUCT ENG, V17, P1241, DOI 10.1260/1369-4332.17.9.1241
   Takewaki I, 2011, EARTHQ STRUCT, V2, P171, DOI 10.12989/eas.2011.2.2.171
   United Nations Development Programme, 2015, UNDP ANN 5 10 50 NEW
   Vamvatsikos D, 2002, EARTHQUAKE ENG STRUC, V31, P491, DOI 10.1002/eqe.141
NR 48
TC 31
Z9 36
U1 2
U2 81
PU TECHNO-PRESS
PI DAEJEON
PA PO BOX 33, YUSEONG, DAEJEON 305-600, SOUTH KOREA
SN 2092-7614
EI 2092-7622
J9 EARTHQ STRUCT
JI Earthq. Struct.
PD DEC
PY 2016
VL 11
IS 6
BP 925
EP 942
DI 10.12989/eas.2016.11.6.925
PG 18
WC Engineering, Civil; Engineering, Geological
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA EO9ZL
UT WOS:000397046500001
DA 2025-04-22
ER

PT J
AU Schultz, MT
   Smith, ER
AF Schultz, Martin T.
   Smith, Ernest R.
TI Assessing the Resilience of Coastal Systems: A Probabilistic Approach
SO JOURNAL OF COASTAL RESEARCH
LA English
DT Article
DE Bayesian network; infrastructure networks; risk assessment; engineering
   resilience; community resilience; natural hazards; extreme events;
   lifelines; Jamaica Bay
ID INFRASTRUCTURE SYSTEMS; SEISMIC RESILIENCE; BAYESIAN NETWORKS
AB Resilience is the ability to anticipate, prepare for, and adapt to changing conditions and withstand, respond to, and recover rapidly from disruptions. Methods and tools to quantify resilience are needed to provide actionable intelligence to plan, design, construct, and manage coastal systems. This paper describes how a probabilistic measure of resilience can be assessed for a coastal community using a Bayesian network. The measure of resilience is the joint probability of meeting two management objectives, one with respect to the level of system performance and the other with respect to the length of time required to restore system performance. This paper describes a pilot study to demonstrate the approach in Jamaica Bay, New York, a dense, urban, residential community located on the southern coast of Long Island. Results of the pilot study illustrate how practical information can be developed to support decisions about managing coastal systems. The pilot study provides insights into data and information requirements; the advantages, challenges, and limitations of the approach; and the feasibility of implementing this approach for operations. This approach to resilience assessment is well suited for coastal planning contexts because it explicitly incorporates information about uncertainty in the severity of coastal storm events, as well as uncertainty in how the system will perform when exposed to storm loads. The method challenges the community to establish explicit objectives for coastal resilience, identifies what data are needed to monitor progress toward objectives, and provides a platform from which to explore how those objectives might be achieved in practice.
C1 [Schultz, Martin T.] US Army, Corps Engineers, Environm Lab, Engineer Res & Dev Ctr, Vicksburg, MS 39180 USA.
   [Smith, Ernest R.] US Army, Corps Engineers, Coastal & Hydraul Lab, Engineer Res & Dev Ctr, Vicksburg, MS 39180 USA.
C3 United States Department of Defense; United States Army; U.S. Army Corps
   of Engineers; U.S. Army Engineer Research & Development Center (ERDC);
   United States Department of Defense; United States Army; U.S. Army Corps
   of Engineers; U.S. Army Engineer Research & Development Center (ERDC);
   Field Research Facility (FRF)
RP Schultz, MT (corresponding author), US Army, Corps Engineers, Environm Lab, Engineer Res & Dev Ctr, Vicksburg, MS 39180 USA.
EM Martin.T.Schultz@usace.army.mil
FU USACE
FX Scott Bourne and Elizabeth Lord processed geographic information system
   data and created maps. Mary Anderson and Jane Smith modeled the
   potential effects of wetland restoration scenarios on wave heights. Jose
   Rullan-Rodriquez and Paul Mlakar developed fragility curves for utility
   infrastructure. Lisa Baron, Lynn Bocamazo, Steve Couch, Don Cresitello,
   Naomi Fraenkel, Caroline McCabe, Diane Rahoy, Jamal Sulayman, and Peter
   Weppler of USACE New York District participated in discussions to help
   frame the pilot demonstration. Alan Cohn of the New York City Department
   of Environmental Protection provided information on the water and
   wastewater systems. Julie Rosati provided comments on a draft version of
   the manuscript. Funding for this project was provided by the USACE. This
   study was part of an initiative by the Coastal Engineering Research
   Board at the request of the chief of engineers. The chief of engineers
   has granted permission to publish this information.
CR Aerts JCJH, 2013, RISK ANAL, V33, P772, DOI 10.1111/risa.12008
   Ahern M, 2005, EPIDEMIOL REV, V27, P36, DOI 10.1093/epirev/mxi004
   Alderson DL, 2015, RISK ANAL, V35, P562, DOI 10.1111/risa.12333
   [Anonymous], 1993, Decisions with Multiple Objectives
   [Anonymous], 2014, Reducing coastal risk on the east and Gulf coasts
   [Anonymous], 2012, DIRENAT IMP, DOI DOI 10.17226/13457
   [Anonymous], 2013, NOAA State of the Coast Report Series
   [Anonymous], 1992, THEORY METHODOLOGY A
   [Anonymous], 2005, Hyogo framework for action 2005-2015: Building the resilience of nations and communities to disasters
   Bensi M, 2013, RELIAB ENG SYST SAFE, V112, P200, DOI 10.1016/j.ress.2012.11.017
   Bocchini P., 2011, P 3 ECCOMAS THEM C C, P1987
   Bocchini P, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000177
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chang SE, 2014, RISK ANAL, V34, P416, DOI 10.1111/risa.12133
   Cimellaro GP, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000204
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   FEMA, 2009, Multi-Hazard Loss Estimation Methodology, Flood Model, Hazus-MH Technical Manual
   Gay LF, 2013, INT J CRIT INFRASTRU, V9, P330, DOI 10.1504/IJCIS.2013.058172
   Langseth H., 2005, RELIAB ENG SYST SAFE, V92, P92
   Langseth H, 2008, ADVANCES IN MATHEMATICAL MODELING FOR RELIABILITY, P1
   Mahadevan S, 2001, STRUCT SAF, V23, P231, DOI 10.1016/S0167-4730(01)00017-0
   Massey T.C., 2011, SR1101 ERDCCHL US AR
   McDaniels Timothy L., 2015, Environment Systems & Decisions, V35, P252, DOI 10.1007/s10669-015-9544-7
   Mendez FJ, 2004, COAST ENG, V51, P103, DOI 10.1016/j.coastaleng.2003.11.003
   NOAA, 2013, 2012 US ARM CORPS EN
   NYC, 2013, PRIM LAND US TAX LOT
   NYC, 2013, NEW YORK CIT WAST RE
   NYC (New York City), 2013, SPECIAL REPORT
   Oliva G.M., 2009, IFAC Proceedings Volumes, V42, P215
   Padgett JE, 2012, STRUCT INFRASTRUCT E, V8, P595, DOI 10.1080/15732470902855343
   Pearl J, 1988, PROBABILISTIC REASON, DOI 10.1016/C2009-0-27609-4
   RAMPP (Risk Assessment Mapping and Planning Partners), 2014, REG 2 STORM SURG PRO
   Rosati J.D., 1993, CERC932 WAT EXP STAT
   Rosati Julie Dean, 2015, Environment Systems & Decisions, V35, P196, DOI 10.1007/s10669-015-9548-3
   Schultz M.T., 2012, ENV SCI ENG
   Sempier T.T., 2010, USITC PUBL
   Sheng YP, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053577
   Smith J.M., 2014, Coastal Engineering Proceedings, V1, P1, DOI DOI 10.9753/ICCE.V34.WAVES.18
   Smith JM, 2001, SR0101 ERDCCHL US AR
   Straub D, 2010, J ENG MECH, V136, P1248, DOI 10.1061/(ASCE)EM.1943-7889.0000173
   Straub D, 2010, J ENG MECH, V136, P1259, DOI 10.1061/(ASCE)EM.1943-7889.0000170
   U. S. CensusBureau, 2010, TIGER LIN SHAP
   U.S. Department of Homeland Security, 2013, HOM SEC INFR PROGR H
   USACE (U.S. Army Corps of Engineers), 2003, EGM0401 USACE PLANN
   Wamsley TV, 2010, OCEAN ENG, V37, P59, DOI 10.1016/j.oceaneng.2009.07.018
   Williams SJ, 2013, J COASTAL RES, P184, DOI [10.2112/SI63-015.1, 10.2112/S163-015.1]
   Wilson AG, 2007, RELIAB ENG SYST SAFE, V92, P1413, DOI 10.1016/j.ress.2006.09.003
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
NR 51
TC 26
Z9 34
U1 3
U2 108
PU COASTAL EDUCATION & RESEARCH FOUNDATION
PI COCONUT CREEK
PA 5130 NW 54TH STREET, COCONUT CREEK, FL 33073 USA
SN 0749-0208
EI 1551-5036
J9 J COASTAL RES
JI J. Coast. Res.
PD SEP
PY 2016
VL 32
IS 5
BP 1032
EP 1050
DI 10.2112/JCOASTRES-D-15-00170.1
PG 19
WC Environmental Sciences; Geography, Physical; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA DW0AQ
UT WOS:000383303700004
DA 2025-04-22
ER

PT J
AU Su, MR
   Chen, B
   Xu, LY
   Zhao, YW
   Liu, GY
   Zhang, Y
   Yang, ZF
AF Su, Meirong
   Chen, Bin
   Xu, Linyu
   Zhao, Yanwei
   Liu, Gengyuan
   Zhang, Yan
   Yang, Zhifeng
TI An emergy-based analysis of urban ecosystem health characteristics for
   Beijing city
SO INTERNATIONAL JOURNAL OF EXERGY
LA English
DT Article
DE urban ecosystem health assessment; health characteristics; emergy; set
   pair analysis; relativity; Beijing city
ID SET PAIR ANALYSIS; METROPOLITAN REGION; INFORMATION ENTROPY; MANAGEMENT;
   IDENTIFICATION; QUALITY; SYSTEMS; MODEL; MACAO
AB As an embodied energetic equivalent for integrated ecological economic evaluation, emergy was used to assess and analyse the urban ecosystem health characteristics associated with energy and material flows. Emergy-based indicators were systematically established with respect to vigour, structure, resilience, ecosystem service maintenance and environmental impact as five fundamental aspects of ecosystem health assessment. At the same time, set pair analysis was also introduced to quantify the relativity and the uncertainty of the urban ecosystem health indicators. Finally, a tentative case study of Beijing 1986-2005 was also carried out using the proposed method to present a useful tool for the urban ecosystem assessment and management.
C1 [Su, Meirong; Chen, Bin; Xu, Linyu; Zhao, Yanwei; Liu, Gengyuan; Zhang, Yan; Yang, Zhifeng] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China.
C3 Beijing Normal University
RP Yang, ZF (corresponding author), Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China.
EM sumr@bnu.edu.cn; chenb@bnu.edu.cn; xly@bnu.edu.cn; awei-a@163.com;
   liugengyuan@163.com; yzhang@bnu.edu.cn; zfyang@bnu.edu.cn
RI Yang, Zhifeng/AFL-3211-2022; Zhao, Yanwei/G-5539-2011; Su,
   Meirong/A-7493-2012; Liu, Gengyuan/ADC-8297-2022; Chen, Bin/A-6951-2012
OI Liu, Gengyuan/0000-0002-3488-9536
FU National Key Scientific and Technological project [2007BAC28B03];
   National Natural Science Foundation of China [40871056]; National
   Science Foundation for Distinguished Young Scholars [50625926]
FX Financial support is provided by the National Key Scientific and
   Technological project (Grant No. 2007BAC28B03), the National Natural
   Science Foundation of China (Grant No. 40871056) and National Science
   Foundation for Distinguished Young Scholars (Grant No. 50625926). The
   authors would also thank the help of the editor and the comments of the
   reviewers, which significantly improved the quality of this paper.
CR Batisani N, 2009, LAND USE POLICY, V26, P178, DOI 10.1016/j.landusepol.2008.01.013
   Bojacá CR, 2010, ENERGY, V35, P2109, DOI 10.1016/j.energy.2010.01.029
   Brown M.T., 2001, Handbook of Emergy Evaluation: Folio 3 Emergy of Ecosystems
   Brown MT, 1996, ECOL MODEL, V91, P105, DOI 10.1016/0304-3800(95)00183-2
   Cai YP, 2009, APPL ENERG, V86, P480, DOI 10.1016/j.apenergy.2008.09.025
   CAMPBELL DE, 2004, ENCY ENERGY, P131
   Collins JP, 2000, AM SCI, V88, P416
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   [郭秀锐 Guo Xiurui], 2002, [中国环境科学, China Environmental Science], V22, P525
   Huang GH, 1996, ENG OPTIMIZ, V26, P79, DOI 10.1080/03052159608941111
   Huang GH, 2001, ENVIRON MODEL ASSESS, V6, P271, DOI 10.1023/A:1013394118863
   HUANG SL, 1995, ECOL ENG, V4, P233, DOI 10.1016/0925-8574(94)00048-A
   Jiang MM, 2009, COMMUN NONLINEAR SCI, V14, P2482, DOI 10.1016/j.cnsns.2008.03.021
   JIANG YL, 2004, P 3 INT C MACH LEARN
   Kaufman AG, 2010, ECOL MODEL, V221, P1230, DOI 10.1016/j.ecolmodel.2009.12.018
   Lan Shengfang, 1994, Journal of Environmental Sciences (China), V6, P432
   Lee CL, 2009, ECOL MODEL, V220, P2940, DOI 10.1016/j.ecolmodel.2009.06.021
   Lei KP, 2008, ENERGY, V33, P613, DOI 10.1016/j.energy.2007.11.008
   Lei KP, 2008, ECOL ENG, V32, P30, DOI 10.1016/j.ecoleng.2007.08.008
   Li YP, 2009, ENVIRON MODELL SOFTW, V24, P786, DOI 10.1016/j.envsoft.2008.11.008
   [Lu Hongfang 陆宏芳], 2003, [生态学报, Acta Ecologica Sinica], V23, P1363
   Ma S., 1984, ACTA ECOLOGICA SINIC, V4, P1, DOI DOI 10.1016/j.chnaes.2018.07.004
   Mageau MT., 1995, ECOSYST HEALTH, V1, P201
   Miyano H, 2001, J MATH PSYCHOL, V45, P27, DOI 10.1006/jmps.1999.1286
   Odum EugeneP., 1989, ECOLOGY OUR ENDANGER
   Odum H T., 1996, ENVIROMENTAL ACCOUNTING - Emergy and Environmental Decision Making
   Odum H T., 2000, Emergy of Global Processes
   Odum HowardT., 1983, System Ecology: An Introduction
   Rapport DJ, 1999, ECOSYST HEALTH, V5, P82, DOI 10.1046/j.1526-0992.1999.09913.x
   Rapport DJ, 1998, J ENVIRON MANAGE, V53, P1, DOI 10.1006/jema.1998.0187
   Su MR, 2009, ECOL MODEL, V220, P2341, DOI 10.1016/j.ecolmodel.2009.06.010
   Su MR, 2009, COMMUN NONLINEAR SCI, V14, P1773, DOI 10.1016/j.cnsns.2007.07.019
   Su MR, 2010, SCI TOTAL ENVIRON, V408, P2425, DOI 10.1016/j.scitotenv.2010.03.009
   TAKANO T, 1999, INDICATORS HLTH CITI
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Ulgiati S, 1998, ECOL MODEL, V108, P23, DOI 10.1016/S0304-3800(98)00016-7
   Ulgiati S, 2007, J CLEAN PROD, V15, P1359, DOI 10.1016/j.jclepro.2006.07.008
   Whitfield D.F., 1994, THESIS U FLORIDA GAI
   Yang ZF, 2008, ENERG SOURCE PART A, V30, P1400, DOI 10.1080/15567030801929142
   Yang ZF, 2010, COMMUN NONLINEAR SCI, V15, P2701, DOI 10.1016/j.cnsns.2009.09.027
   ZHAO KQ, 1989, P STAT FOR SYST THEO
   [周敬宣 ZHOU Jingxuan], 2007, [资源科学, Resources Science], V29, P111
   Zucchetto J., 1985, RESOURCES SOC
NR 43
TC 10
Z9 11
U1 2
U2 70
PU INDERSCIENCE ENTERPRISES LTD
PI GENEVA
PA WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 896, CH-1215
   GENEVA, SWITZERLAND
SN 1742-8297
J9 INT J EXERGY
JI Int. J. Exergy
PY 2011
VL 9
IS 2
BP 192
EP 209
DI 10.1504/IJEX.2011.042068
PG 18
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Thermodynamics; Energy & Fuels
GA 812AI
UT WOS:000294259700004
DA 2025-04-22
ER

PT J
AU Islam, A
   Hassini, S
   El-Dakhakhni, W
AF Islam, Arpita
   Hassini, Sonia
   El-Dakhakhni, Wael
TI A systematic bibliometric review of optimization and resilience within
   low impact development stormwater management practices
SO JOURNAL OF HYDROLOGY
LA English
DT Review
DE Low impact development; Optimization; Bibliometric analysis; Research
   cluster; Climate change; Resilience
ID SUPPLY CHAIN FINANCE; LAND-USE CHANGE; GREEN INFRASTRUCTURE;
   WATER-QUALITY; URBAN RUNOFF; NUMERICAL-ANALYSIS; CLIMATE-CHANGE;
   LID-BMPS; SIMULATION; PERFORMANCE
AB The implication of optimal low impact development (LID) implementations has been attracting researchers' attention, aiming to alleviate the detrimental impacts of urbanization and climate change and enhance resilience. The rapidly increasing number of publications on LID optimization over recent years makes it one of the leading-edge research areas in the field of urban stormwater management. This study aims to conduct a systematic bibliometric review of the optimization and resilience within LID stormwater management practices. LID related publications of 17 years (2004-2020, August) were retrieved from the Web of Science database and thoroughly analyzed. This review looks into the progression of current research themes, previous work outcomes, and key research gaps. Using a clustering tool, four main research clusters have been identified. Employing text mining, each cluster reflecting a research theme is identified based on the analysis of the top fifteen papers. The clusters themes are outlined as (1) optimizing LID type and size, (2) spatial layout optimization with parameter uncertainty and climate and land-use change impacts, (3) hydraulic LID parameter optimization and adoption of multi-criteria analysis and (4) experimental studies on bioretention for quantity and quality assessment. Subsequently, the cross-cutting research gaps are identified considering all articles. Climate change and resilience are identified as key hot topics from authors' keyword analysis, highlighting current research frontiers and laying out the directions for future research thrust in this critically important emerging research field.
C1 [Islam, Arpita; Hassini, Sonia] McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L7, Canada.
   [El-Dakhakhni, Wael] McMaster Univ, INTERFACE Inst Multihazard Syst Risk Studies, Hamilton, ON L8S 4L7, Canada.
C3 McMaster University; McMaster University
RP Hassini, S (corresponding author), McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L7, Canada.
EM islama24@mcmaster.ca; hassins@mcmaster.ca; eldak@mcmaster.ca
OI Hassini, Sonia/0000-0002-7232-9847
FU INTERFACE Institute; INViSiONLab
FX The authors are grateful to the INTERFACE Institute and the INViSiONLab
   for their support and the anonymous reviewers for their constructive
   feedback.
CR Ahammed F, 2012, WATER SCI TECH-W SUP, V12, P844, DOI 10.2166/ws.2012.060
   Ahiablame LM, 2013, J ENVIRON MANAGE, V119, P151, DOI 10.1016/j.jenvman.2013.01.019
   Ahiablame LM, 2012, WATER AIR SOIL POLL, V223, P4253, DOI 10.1007/s11270-012-1189-2
   Al U., 2012, USE SOCIAL NETWORK A
   Alamdari N, 2019, J CLEAN PROD, V213, P251, DOI 10.1016/j.jclepro.2018.12.108
   Alves A, 2016, WATER-SUI, V8, DOI 10.3390/w8090402
   Ashley R.M., 2011, REV CURRENT KNOWLEDG
   Baek SS, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2017.11.006
   Baek SS, 2015, WATER RES, V86, P122, DOI 10.1016/j.watres.2015.08.038
   Bakhshipour AE, 2019, J ENVIRON MANAGE, V249, DOI 10.1016/j.jenvman.2019.109364
   Barnett G.A., 2011, ENCY SOCIAL NETWORKS
   Bastian M., 2009, INT AAAI C WEBL SOC
   Becciu G., 2015, International Journal of Sustainable Development and Planning, V10, P795, DOI 10.2495/SDP-V10-N6-795-805
   Beecham S, 2019, APPROACHES TO WATER SENSITIVE URBAN DESIGN: POTENTIAL, DESIGN, ECOLOGICAL HEALTH, URBAN GREENING, ECONOMICS, POLICIES, AND COMMUNITY PERCEPTIONS, P409, DOI 10.1016/B978-0-12-812843-5.00020-4
   Berger AW, 2019, WATER RES, V165, DOI 10.1016/j.watres.2019.115008
   Blondel VD, 2008, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2008/10/P10008
   Brandes U, 2008, IEEE T KNOWL DATA EN, V20, P172, DOI 10.1109/TKDE.2007.190689
   Brin S, 1998, COMPUT NETWORKS ISDN, V30, P107, DOI 10.1016/S0169-7552(98)00110-X
   Brunetti G, 2017, J HYDROL, V548, P263, DOI 10.1016/j.jhydrol.2017.03.013
   Brunetti G, 2016, J HYDROL, V540, P1146, DOI 10.1016/j.jhydrol.2016.07.030
   Burrill G., 1977, RES REPORT DEV COMMU
   Cai YP, 2018, J CLEAN PROD, V182, P937, DOI 10.1016/j.jclepro.2018.02.009
   Chui TFM, 2016, J HYDROL, V533, P353, DOI 10.1016/j.jhydrol.2015.12.011
   Coffman Larry., 2000, Low-Impact Development Design Strategies, An Integrated Design Approach
   Comerio N, 2019, TOURISM ECON, V25, P109, DOI 10.1177/1354816618793762
   Damodaram C, 2013, J WATER RES PLAN MAN, V139, P290, DOI 10.1061/(ASCE)WR.1943-5452.0000251
   Damodaram C, 2010, J AM WATER RESOUR AS, V46, P907, DOI 10.1111/j.1752-1688.2010.00462.x
   De Paola F, 2018, WATER RESOUR MANAG, V32, P4933, DOI 10.1007/s11269-018-2064-8
   de-Miguel-Molina B., 2015, 1 INT C BUS MAN
   Dhalla S, 2010, STORM WATER GUIDE
   Ding Y, 2011, INFORM PROCESS MANAG, V47, P80, DOI 10.1016/j.ipm.2010.01.002
   Ding Y, 2009, J AM SOC INF SCI TEC, V60, P2229, DOI 10.1002/asi.21171
   Dolowitz D, 2012, POLICY STUD-UK, V33, P501, DOI 10.1080/01442872.2012.722289
   Duan HF, 2016, WATER RESOUR MANAG, V30, P4635, DOI 10.1007/s11269-016-1444-1
   Durán-Sánchez A, 2020, WATER-SUI, V12, DOI 10.3390/w12112963
   Durán-Sánchez A, 2018, WATER-SUI, V10, DOI 10.3390/w10091191
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   Ercolani G, 2018, J HYDROL, V566, P830, DOI 10.1016/j.jhydrol.2018.09.050
   Ezzeldin M, 2020, J STRUCT ENG, V146, DOI 10.1061/(ASCE)ST.1943-541X.0002523
   Fahimnia B, 2015, INT J PROD ECON, V162, P101, DOI 10.1016/j.ijpe.2015.01.003
   Fan R, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000816
   Fassman-Beck E, 2015, J SUSTAIN WATER BUIL, V1, DOI 10.1061/JSWBAY.0000799
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Garfield E, 2009, J INFORMETR, V3, P173, DOI 10.1016/j.joi.2009.03.009
   Gelsomino LM, 2016, INT J PHYS DISTR LOG, V46, P348, DOI 10.1108/IJPDLM-08-2014-0173
   Gephi A., 2013, GEPHI MAKES GRAPHS H
   Ghodsi SH, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124266
   Giacomoni MH, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000812
   Glerum J., 2011, INT C URBAN DRAINAGE, V12, P1
   Gogate NG, 2017, J CLEAN PROD, V142, P2046, DOI 10.1016/j.jclepro.2016.11.079
   Goyal K, 2021, INT J CONSUM STUD, V45, P80, DOI 10.1111/ijcs.12605
   Gu JJ, 2020, WATER RESOUR MANAG, V34, P1567, DOI 10.1007/s11269-019-02422-5
   Gu JJ, 2018, WATER RESOUR MANAG, V32, P4217, DOI 10.1007/s11269-018-2040-3
   Gülbaz S, 2019, WATER SA, V45, P209, DOI 10.4314/wsa.v45i2.07
   Guo H, 2019, GREEN ENERGY TECHNOL, P63, DOI 10.1007/978-3-319-99867-1_11
   Guo R, 2018, J SUSTAIN WATER BUIL, V4, DOI 10.1061/JSWBAY.0000849
   Haggag M., 2020, SUSTAIN RESIL INFRAS, P1
   Helmi N.R., 2019, J HYDROL, V573, P98, DOI DOI 10.1016/j.jhydrol.2019.03.017
   Her Y, 2017, ENVIRON MODELL SOFTW, V96, P305, DOI 10.1016/j.envsoft.2017.06.005
   Hou JW, 2020, DESALIN WATER TREAT, V177, P227, DOI 10.5004/dwt.2020.24930
   Hou JW, 2019, J HYDROL ENG, V24, DOI 10.1061/(ASCE)HE.1943-5584.0001855
   Huang YJ, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1421
   Irvine JL, 2018, DESALIN WATER TREAT, V135, P1, DOI 10.5004/dwt.2018.23119
   Jayasooriya VM, 2020, WATER-SUI, V12, DOI 10.3390/w12041024
   Jesson J.K., 2011, Doing your literature review
   Jia HF, 2015, J ENVIRON MANAGE, V149, P65, DOI 10.1016/j.jenvman.2014.10.003
   Jia HF, 2013, ENVIRON MONIT ASSESS, V185, P7915, DOI 10.1007/s10661-013-3144-0
   Jia HF, 2012, SEP PURIF TECHNOL, V84, P112, DOI 10.1016/j.seppur.2011.04.026
   Jiang C., 2019, POLISH J ENV STUD, V28
   Kaykhosravi S, 2018, WATER-SUI, V10, DOI 10.3390/w10111541
   Kolaczyk ED, 2014, USE R, V65, P1, DOI 10.1007/978-1-4939-0983-4
   Korom P, 2019, SCIENTOMETRICS, V118, P849, DOI 10.1007/s11192-018-03000-z
   Krebs G, 2013, URBAN WATER J, V10, P394, DOI 10.1080/1573062X.2012.739631
   Latifi M, 2019, J CLEAN PROD, V241, DOI 10.1016/j.jclepro.2019.118323
   Lee JG, 2012, ENVIRON MODELL SOFTW, V37, P6, DOI 10.1016/j.envsoft.2012.04.011
   Leydesdorff L, 2017, SCIENTOMETRICS, V110, P1601, DOI 10.1007/s11192-016-2226-5
   Li CL, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15020273
   Li F, 2019, WATER RESOUR MANAG, V33, P3271, DOI 10.1007/s11269-019-02300-0
   Li MH, 2014, WATER ENVIRON RES, V86, P387, DOI 10.2175/106143013X13789303501920
   Li Y, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12625
   Liang CY, 2019, J HYDROL, V577, DOI 10.1016/j.jhydrol.2019.124008
   Liu YZ, 2017, SCI TOTAL ENVIRON, V601, P1400, DOI 10.1016/j.scitotenv.2017.06.015
   Liu YZ, 2016, SCI TOTAL ENVIRON, V553, P149, DOI 10.1016/j.scitotenv.2016.02.116
   Liu YZ, 2015, J ENVIRON MANAGE, V147, P12, DOI 10.1016/j.jenvman.2014.09.005
   Luan B, 2019, J CLEAN PROD, V223, P680, DOI 10.1016/j.jclepro.2019.03.028
   Lucas WC, 2015, J HYDROL, V520, P473, DOI 10.1016/j.jhydrol.2014.10.029
   Manalo E., 2004, JALT J, V26, P55
   Mani M, 2019, J HYDROINFORM, V21, P727, DOI 10.2166/hydro.2019.126
   Mao XH, 2017, ECOL MODEL, V353, P139, DOI 10.1016/j.ecolmodel.2016.10.018
   Maslov S, 2008, J NEUROSCI, V28, P11103, DOI 10.1523/JNEUROSCI.0002-08.2008
   Mei Y, 2013, FRESEN ENVIRON BULL, V22, P1507
   Melewar T.C., 2012, EUR J MARKETING
   Moed H, 2014, SCIENTOMETRICS, V101, P1987, DOI 10.1007/s11192-014-1307-6
   Morash J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123269
   Mrvar A, 2016, COMPLEX ADAPT SYST M, V4, DOI 10.1186/s40294-016-0017-8
   Muñoz-Écija T, 2017, J NANOPART RES, V19, DOI 10.1007/s11051-016-3732-3
   Ng JY, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001167
   Paul J, 2017, J WORLD BUS, V52, P327, DOI 10.1016/j.jwb.2017.01.003
   Persson O., 2009, Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at his 60th Birthday, P9
   Piro P, 2019, INTERNET THINGS-TECH, P275, DOI 10.1007/978-3-319-96550-5_12
   Platz M, 2020, J AM WATER RESOUR AS, V56, P283, DOI 10.1111/1752-1688.12832
   Portillo-Salido EF, 2010, SPAN J PSYCHOL, V13, P503, DOI 10.1017/S1138741600004054
   Pyke C, 2011, LANDSCAPE URBAN PLAN, V103, P166, DOI 10.1016/j.landurbplan.2011.07.006
   Radicchi F, 2004, P NATL ACAD SCI USA, V101, P2658, DOI 10.1073/pnas.0400054101
   Raei E, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124091
   Romero L, 2019, FRONT PHARMACOL, V10, DOI 10.3389/fphar.2019.00564
   Rowley J., 2004, MANAGE RES NEWS
   Roy-Poirier A, 2015, WATER SCI TECHNOL, V72, P1524, DOI 10.2166/wst.2015.368
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Seo M, 2017, WATER-SUI, V9, DOI 10.3390/w9040270
   Shafique M, 2015, ECOL CHEM ENG S, V22, P543, DOI 10.1515/eces-2015-0032
   Shishegar S, 2018, URBAN WATER J, V15, P276, DOI 10.1080/1573062X.2018.1439976
   Song JY, 2017, WATER-SUI, V9, DOI 10.3390/w9040291
   Tranfield D, 2003, BRIT J MANAGE, V14, P207, DOI 10.1111/1467-8551.00375
   Troian Alexandre, 2020, Gest. Prod., V27, pe4761, DOI 10.1590/0104-530x4761-20
   Trujillo CM, 2018, SCI ADV, V4, DOI 10.1126/sciadv.1701130
   Tsay MY, 2009, SCIENTOMETRICS, V79, P451, DOI 10.1007/s11192-008-1641-7
   Tu MC, 2020, WATER-SUI, V12, DOI 10.3390/w12020573
   USEPA, 2000, LOW IMP DEV LID LIT
   Van E.N., 2018, VOSVIEWER MANUAL, P1
   Van Eck N. J., 2011, ARXIV PREPRINT ARXIV
   van Eck NJ, 2017, SCIENTOMETRICS, V111, P1053, DOI 10.1007/s11192-017-2300-7
   Van Eck Nees Jan, 2013, VOSviewer manual, V1, P1, DOI DOI 10.13140/RG.2.1.1093.7121
   Vogel Jason R, 2016, Water Environ Res, V88, P1918, DOI 10.2175/106143016X14696400495938
   Vogel JR, 2015, WATER ENVIRON RES, V87, P849, DOI 10.2175/106143015X14362865226392
   Wambu EW, 2016, WATER SA, V42, P612, DOI 10.4314/wsa.v42i4.12
   Wan ZX, 2018, ENVIRON SCI POLLUT R, V25, P17855, DOI 10.1007/s11356-018-1954-x
   Wang MH, 2010, SCIENTOMETRICS, V84, P813, DOI 10.1007/s11192-009-0112-0
   Wang MM, 2017, J ENVIRON MANAGE, V204, P31, DOI 10.1016/j.jenvman.2017.08.024
   Wu J, 2019, WATER-SUI, V11, DOI 10.3390/w11091908
   Wu J, 2017, ECOL ENG, V105, P355, DOI 10.1016/j.ecoleng.2017.05.016
   Xing W, 2016, WATER SCI ENG, V9, P115, DOI 10.1016/j.wse.2016.06.007
   Xu P, 2017, WATER SCI TECHNOL, V75, P2527, DOI 10.2166/wst.2017.121
   Xu T, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109280
   Xu T, 2018, SCI TOTAL ENVIRON, V640, P570, DOI 10.1016/j.scitotenv.2018.05.358
   Xu XH, 2018, INT J PROD ECON, V204, P160, DOI 10.1016/j.ijpe.2018.08.003
   Yang Y, 2018, J ENVIRON MANAGE, V206, P1090, DOI 10.1016/j.jenvman.2017.11.064
   Yin HW, 2019, LANDSC ECOL ENG, V15, P297, DOI 10.1007/s11355-019-00380-z
   You LD, 2019, J SUSTAIN WATER BUIL, V5, DOI [10.1061/JSWBAY.0000870, 10.1061/jswbay.0000870]
   Zahedi Z., 2015, 20 INT C SCI TECHN I, P2
   Zeng SY, 2019, J ENVIRON MANAGE, V246, P849, DOI 10.1016/j.jenvman.2019.06.028
   Zhang K, 2018, SCI TOTAL ENVIRON, V621, P915, DOI 10.1016/j.scitotenv.2017.11.281
   Zhang L, 2018, J PERFORM CONSTR FAC, V32, DOI 10.1061/(ASCE)CF.1943-5509.0001209
   Zhou Q, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12457
   Zhu YN, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11185082
   Zhu ZH, 2017, WATER-SUI, V9, DOI 10.3390/w9070548
NR 146
TC 56
Z9 56
U1 18
U2 228
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD AUG
PY 2021
VL 599
AR 126457
DI 10.1016/j.jhydrol.2021.126457
EA JUN 2021
PG 18
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Geology; Water Resources
GA TJ4XI
UT WOS:000673486000015
DA 2025-04-22
ER

PT J
AU Bahrami, F
   Alehashemi, A
   Motedayen, H
AF Bahrami, F.
   Alehashemi, A.
   Motedayen, H.
TI Dealing with uncertainty along the Kan River, Tehran: planning the Kan
   River based on social-ecological resilience
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
LA English
DT Article
DE The kan river; Social-ecological resilience; Urban rivers; Flood
   disturbances; Interdisciplinary approach
ID THINKING; SYSTEMS; SUSTAINABILITY; ADAPTABILITY; DISTURBANCE;
   ADAPTATION; PERCEPTION; EMERGENCE; VALLEY; FACE
AB Flood-control infrastructures-channelization, levees, and dams-are considered as the flood mitigation which can control flood disturbances of rivers. However, the flood mitigation, which is deemed as a rigid and one-dimensional approach, not only increases the frequency and severity of floods but also destroys the ecological and societal aspects of rivers. The Kan River, in Tehran, is one of the rivers which is equipped by channels, but it is still considered as one of the chaotic rivers in Tehran. Therefore, an alternative plan instead of channelization is required in order to mitigate the floods of the river. In this regard, we seek to propose an indigenous and flood-friendly plan for the river against flood disturbances. To this purpose, the theoretical foundation of social-ecological resilience is considered as an appropriate approach; thus, the theory of social-ecological resilience is reviewed, and its indicators are extracted. Then, based on the inherent characteristics and landscape of the river, a resilient plan in the face of floods is proposed. We argue that the river should be considered as a dynamic and social-ecological phenomenon. Such a view would help to overcome the disturbances of the river and avoid the one-dimensional planning and approaches. In addition, we suggest that the indicators of social-ecological resilience can be utilized to provide and suggest large-scale, middle-scale, and micro-scale strategies in order to improve the resiliency of the river against floods. The findings of this paper can be applied to the rehabilitation of chaotic urban rivers globally.
C1 [Bahrami, F.; Motedayen, H.] Univ Tehran, Coll Fine Arts, Sch Architecture, Tehran, Iran.
   [Alehashemi, A.] Ecole Natl Super Architecture Paris Malaquais ENS, Water Architecture Chair, Paris, France.
C3 University of Tehran
RP Bahrami, F (corresponding author), Univ Tehran, Coll Fine Arts, Sch Architecture, Tehran, Iran.
EM farshad.bahrami@ut.ac.ir
RI Alehashemi, Ayda/KCY-5347-2024
OI Bahrami, Farshad/0000-0001-8143-7842
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahmadi S, 2018, VOICE ISLAMIC REPUBL
   AINA, 2016, ASR E IRAN NEWS AGEN
   Alehashemi A., 2014, MANZAR, V5, P44
   Alehashemi A.., 2015, MANZAR, the Scientific Journal of Landscape, V7, P94
   Ali AMS, 2007, NAT HAZARDS, V40, P89, DOI 10.1007/s11069-006-0006-x
   [Anonymous], 2015, Islamic Republic News Agency
   [Anonymous], 2014, INT J ARCHIT URBAN D
   ATI-TEC Consulting Engineers, 1990, STRAT STRUCT COMPR P
   Bahadur AdityaV., 2010, The resilience renaissance? Unpacking of resilience for tackling climate change and disasters
   Bahrami F, 2019, MANZAR, V11, P60, DOI 10.22034/manzar.2019.182617.1948
   Bahrami F, 2018, MANZAR, V10, P34, DOI 10.22034/manzar.2018.68624
   Berkes F, 2005, ECOSYSTEMS, V8, P967, DOI 10.1007/s10021-005-0140-4
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Biggs R, 2015, ECOL SOC, V20, DOI 10.5751/ES-07380-200152
   Boom Sazgan Engineering Consultants, 2007, COMPR PLAN TEHR
   Bozorgi A., 2005, GEOGR RES-AUST, V20, P77
   Carpenter SR, 2001, BIOSCIENCE, V51, P451, DOI 10.1641/0006-3568(2001)051[0451:CWCEAS]2.0.CO;2
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Cumming GS, 2011, SPATIAL RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS, P1, DOI 10.1007/978-94-007-0307-0_1
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Daneshpour SA., 2013, ENVIRON RES, V4, P105
   Entekhab, 2019, ENTEKHAB
   Farmanfarman A, 1970, MASTER PLAN TEHRAN C
   Fars news Agency, 2015, FARS NEWS AGENCY
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-09088-210444
   Folke C, 2011, AMBIO, V40, P719, DOI 10.1007/s13280-011-0184-y
   Folke C, 2010, ECOL SOC, V15
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Ghahroudi Tali M., 2016, Journal of Geography and Environmental Hazards, V5, P21, DOI [10.22067/geo.v5i1.49976, DOI 10.22067/GEO.V5I1.49976]
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Hamshahri, 2018, HAMSHAHRI
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Hooshyaripor F, 2020, NAT HAZARD EARTH SYS, V20, P2739, DOI 10.5194/nhess-20-2739-2020
   Hossein N, 2015, MEHR NEWS AGENCY
   IRNA, 2019, ISLAMIC REPUBLIC NEW
   Jahangir MH, 2019, WEATHER CLIM EXTREME, V25, DOI 10.1016/j.wace.2019.100215
   Karimi Moshaver M., 2013, MANZAR, V5, P52
   Kia SH., 2017, J ENV HLTH ENG, V4, P243
   Lake PS, 2000, J N AM BENTHOL SOC, V19, P573, DOI 10.2307/1468118
   Li T, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.138113
   Liao KH, 2014, NAT HAZARDS, V71, P723, DOI 10.1007/s11069-013-0923-4
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Manyena SB, 2006, DISASTERS, V30, P433
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Masnavi MR, 2016, INT J ENVIRON RES, V10, P193
   Mayunga J.S., 2007, SUMMER ACAD SOCIAL V, V1, P1, DOI DOI 10.1146/ANNUREV.ENERGY.32.051807.090348
   Milner AM, 2018, ECOL EVOL, V8, P8354, DOI 10.1002/ece3.4300
   Milner A, 2013, BRIT J PSYCHIAT, V203, P409, DOI 10.1192/bjp.bp.113.128405
   Moosavi S, 2018, J LANDSC ARCHIT, V13, P22, DOI 10.1080/18626033.2018.1476025
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Osbahr H., 2007, HUM DEV REP, V8, P00
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Palazzo E, 2018, CONVERSATION TRUST
   Panpakdee C., 2018, Kasetsart Journal of Social Sciences, V39, P414, DOI 10.1016/j.kjss.2017.07.003
   Parsons M, 2018, GEOMORPHOLOGY, V305, P242, DOI 10.1016/j.geomorph.2017.08.040
   Parsons M, 2017, MAR FRESHWATER RES, V68, P401, DOI 10.1071/MF15336
   Payami Azad S., 2013, J AM SCI, V9, P137
   Qasim S, 2015, INT J DISAST RISK RE, V14, P373, DOI 10.1016/j.ijdrr.2015.09.001
   Renault P, 2018, INT WORKSH WAT CIT H
   Sendzimir J, 2008, ECOL SOC, V13
   Shahrdaronline, 2017, SHAHRDARONLINE
   TPA, 2018, JAV PARK
   Trosper RL, 2005, ECOL SOC, V10
   Walker B., 2004, Ecology and Society, V9, P5
   Water Research Institute, 2004, WAT DISCH REP
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Young Journalist Club, 2019, YOUNG JOURNALIST CLU
   Zandieh, 2019, J RESILIENT CITY, V2, P00
   Zevenbergen C, 2008, J FLOOD RISK MANAG, V1, P81, DOI 10.1111/j.1753-318X.2008.00010.x
NR 75
TC 1
Z9 2
U1 1
U2 18
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1735-1472
EI 1735-2630
J9 INT J ENVIRON SCI TE
JI Int. J. Environ. Sci. Technol.
PD APR
PY 2022
VL 19
IS 4
BP 2789
EP 2808
DI 10.1007/s13762-021-03403-1
EA JUN 2021
PG 20
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA ZX0VC
UT WOS:000658604300002
DA 2025-04-22
ER

PT J
AU Singh, N
   Kumar, A
   Dey, K
AF Singh, Neeraj
   Kumar, Avinash
   Dey, Kushankur
TI Unlocking the potential of knowledge economy for rural resilience: The
   role of digital platforms
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Knowledge economy; Digital platforms; RABIT framework; Rural resilience;
   Triple helix
ID VIRTUAL ENVIRONMENTS; TRIPLE-HELIX; E-COMMERCE; INNOVATION; PROXIMITY;
   EVOLUTION; INDUSTRY; COMMUNITIES; INFORMATION; TECHNOLOGY
AB Due to urban-centric development paradigms, actors in the rural business ecosystem and related interaction spaces have become adrift, resulting in the fragility of the rural knowledge economy (K. E.) and rural decline. Diverse organizations, including not-for-profits, civil societies, private agencies, and cooperatives, have taken cognizance of this significant issue and have promoted platform-based enterprises. While the literature emphasizes the role of digital platforms in strengthening rural resilience, it does not elaborate on the underlying mechanism. Consequently, the relationship between the K. E. spaces topologically mapped on the platform, contributing to increased actor interaction and rural resilience, remains underexplored. This motivates us to pose a fundamental question: Can digital platforms operating in rural areas function as K.E. spaces and foster actor interactions to strengthen rural resilience? Theoretically grounded in network externality theory, the triple-helix model, and the Resilience Assessment Benchmarking and Impact Toolkit framework, this study adopts a multiple case study approach utilizing literature synthesis, archival sources, and primary data from key informants of selected platform organizations operational in rural areas. The findings show that K. E. spaces enrich the rural knowledge economy by onboarding missing actors and augmenting proximity. This leads to increased actor interactions and enhanced rural resilience. This study proposes an emergent framework expositing a nexus between digital platforms, K. E. spaces, and rural resilience attributes and contributes to the growing body of rural resilience literature.
C1 [Singh, Neeraj] Indian Inst Management Rohtak, Management City NH 10 Southern Bypass, Rohtak 124010, Haryana, India.
   [Kumar, Avinash] Indian Inst Management Calcutta, K-304,New Acad Block, Kolkata 700104, West Bengal, India.
   [Dey, Kushankur] Indian Inst Management Lucknow, Ctr Food & Agribusiness Management, Chintan 241, Lucknow 226013, Uttar Pradesh, India.
C3 Indian Institute of Management (IIM System); Indian Institute of
   Management Rohtak; Indian Institute of Management (IIM System); Indian
   Institute of Management Calcutta; Indian Institute of Management (IIM
   System); Indian Institute of Management Lucknow
RP Dey, K (corresponding author), Indian Inst Management Lucknow, Ctr Food & Agribusiness Management, Chintan 241, Lucknow 226013, Uttar Pradesh, India.
EM neeraj.singh@iimrohtak.ac.in; avinash@iimcal.ac.in; kushankurm@gmail.com
RI Kumar, Avinash/AEY-9150-2022; Singh, Neeraj/ACR-9740-2022
OI Singh, Neeraj/0000-0002-7494-6152; Dey, Kushankur/0000-0001-6649-104X;
   Kumar, Avinash/0000-0002-5884-2484
CR Achilleas T., 2009, Science and Technology Parks in the Less Favoured Regions of Europe an Evaluation of Their Performance and the Parameters of Success
   Aguiléra A, 2012, IND INNOV, V19, P187, DOI 10.1080/13662716.2012.669609
   Akaka MA, 2011, MARKETING THEOR, V11, P243, DOI 10.1177/1470593111408172
   Aker JC, 2011, AGR ECON-BLACKWELL, V42, P631, DOI 10.1111/j.1574-0862.2011.00545.x
   Balland PA, 2015, REG STUD, V49, P907, DOI 10.1080/00343404.2014.883598
   Barile S, 2016, J SERV MANAGE, V27, P652, DOI 10.1108/JOSM-09-2015-0268
   Beninger S, 2016, J MACROMARKETING, V36, P183, DOI 10.1177/0276146715592929
   Bonina C, 2021, INFORM SYST J, V31, P869, DOI 10.1111/isj.12326
   Bosworth G, 2016, SOCIOL RURALIS, V56, P427, DOI 10.1111/soru.12089
   Bruckmeier K, 2008, SOCIOL RURALIS, V48, P313, DOI 10.1111/j.1467-9523.2008.00466.x
   Bunders DJ, 2022, J CO-OP ORGAN MANAG, V10, DOI 10.1016/j.jcom.2022.100167
   Cai YZ, 2022, MINERVA, V60, P257, DOI 10.1007/s11024-021-09453-6
   Canhoto AI, 2016, IND MARKET MANAG, V56, P86, DOI 10.1016/j.indmarman.2016.03.010
   Carlson JM, 2002, P NATL ACAD SCI USA, V99, P2538, DOI 10.1073/pnas.012582499
   Cenamor J, 2021, J BUS RES, V122, P335, DOI 10.1016/j.jbusres.2020.09.016
   Cenamor J, 2021, RES POLICY, V50, DOI 10.1016/j.respol.2020.104148
   Constantinides P, 2018, INFORM SYST RES, V29, P381, DOI 10.1287/isre.2018.0794
   Crescenzi R, 2016, RES POLICY, V45, P177, DOI 10.1016/j.respol.2015.07.003
   Curtin CG, 2014, CONSERV BIOL, V28, P912, DOI 10.1111/cobi.12321
   Cusumano MA, 2020, MIT SLOAN MANAGE REV, V61, P46
   de Mattos CA, 2018, TECHNOL FORECAST SOC, V129, P143, DOI 10.1016/j.techfore.2017.12.020
   de Reuver M, 2018, J INF TECHNOL-UK, V33, P124, DOI 10.1057/s41265-016-0033-3
   Dolata U, 2019, OSTERR Z SOZIOL, V44, P181, DOI 10.1007/s11614-019-00353-4
   Egorov NE, 2015, PROCD SOC BEHV, V207, P816, DOI 10.1016/j.sbspro.2015.10.172
   Mota MDE, 2022, AFR J SCI TECHNOL IN, V14, P1950, DOI 10.1080/20421338.2021.1988418
   Esmaeilpoorarabi N, 2018, LAND USE POLICY, V79, P734, DOI 10.1016/j.landusepol.2018.09.016
   Etzkowitz H., 1995, EASST Review, V14, P14, DOI DOI 10.1023/A:1026276308287
   Etzkowitz Henry., 2015, TRIPLE HELIX-NETH, V2, DOI [DOI 10.1186/S40604-014-0012-Z, https://doi.org/10.1186/s40604-014-0012-z]
   Etzkowitz Henry., 2002, The Triple Helix of University-Industry-Government: Implications for Policy and Evaluation
   Fehrer JA, 2018, J SERV MANAGE, V29, P546, DOI 10.1108/JOSM-02-2017-0036
   Fennell S, 2018, TELECOMMUN POLICY, V42, P810, DOI 10.1016/j.telpol.2018.06.002
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2021, AMBIO, V50, P1774, DOI 10.1007/s13280-020-01487-6
   Foramitti J, 2020, SUSTAIN SCI, V15, P1185, DOI 10.1007/s11625-020-00804-y
   Galvao A, 2019, J SCI TECHNOL POLICY, V10, P812, DOI 10.1108/JSTPM-10-2018-0103
   Geldes C, 2015, J BUS RES, V68, P263, DOI 10.1016/j.jbusres.2014.09.034
   Gupta D, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105370
   Heeks R, 2019, INFORM SYST J, V29, P70, DOI 10.1111/isj.12177
   Heijman W., 2019, RURAL RESILIENCE NEW, P195, DOI 10.1007/978-3-030-28642-2_11
   Heijman W, 2019, PAL ADV BIOEC-ECON, P195, DOI 10.1007/978-3-030-28642-2_11
   Horwitz SK, 2012, KNOWL MAN RES PRACT, V10, P342, DOI 10.1057/kmrp.2012.39
   Islind AS, 2019, HEALTH TECHNOL-GER, V9, P425, DOI 10.1007/s12553-019-00332-5
   Jacobides MG, 2018, STRATEGIC MANAGE J, V39, P2255, DOI 10.1002/smj.2904
   Janssen M., 2007, International Journal of the Commons, V1, P43, DOI [10.18352/ijc.12, 10.18352/bmgn-lchr.12., DOI 10.18352/IJC.12]
   Jha SK, 2016, MIS QUART, V40, P431, DOI 10.25300/MISQ/2016/40.2.08
   Kadri TE, 2021, TEX LAW REV, V99, P951
   Kakderi C., 2018, P 20 C GREEK SOC REG
   Karatzogianni A, 2020, TELEV NEW MEDIA, V21, P95, DOI 10.1177/1527476418808029
   Kirsanova E. V., 2021, STUDIES SYSTEMS DECI, V316, P141, DOI [10.1007/978-3-030-57831-215, DOI 10.1007/978-3-030-57831-2_15]
   Kpognon KD, 2022, RESOUR POLICY, V77, DOI 10.1016/j.resourpol.2022.102757
   La Sala A, 2024, IEEE T ENG MANAGE, V71, P12807, DOI 10.1109/TEM.2023.3282367
   Lange B., 2022, COVID 19 PANDEMIC FU, P95, DOI DOI 10.4324/9781003181163-10
   Li AHF, 2017, CHINA PERSPECT, P57
   Li MF, 2020, ENTREP REGION DEV, V32, P508, DOI 10.1080/08985626.2019.1666168
   Li YH, 2022, GROWTH CHANGE, V53, P1037, DOI 10.1111/grow.12535
   Li YH, 2019, J RURAL STUD, V68, P135, DOI 10.1016/j.jrurstud.2019.03.003
   Li YH, 2016, J RURAL STUD, V47, P506, DOI 10.1016/j.jrurstud.2016.07.004
   Lindberg A, 2016, INFORM SYST RES, V27, P751, DOI 10.1287/isre.2016.0673
   Liu YS, 2017, NATURE, V548, P275, DOI 10.1038/548275a
   Liu YS, 2010, J GEOGR SCI, V20, P876, DOI 10.1007/s11442-010-0817-2
   Lowe P, 2019, WORLD DEV, V116, P28, DOI 10.1016/j.worlddev.2018.12.005
   Lusch RF, 2015, MIS QUART, V39, P155
   Mackay EB, 2015, WATER RESOUR RES, V51, P4815, DOI 10.1002/2014WR016824
   Mannan M., 2021, Sharing economy at the base of the pyramid: Opportunities and challenges, P249
   McIntyre DP, 2021, LONG RANGE PLANN, V54, DOI 10.1016/j.lrp.2020.101987
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   Meuwissen MPM, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102656
   Moos M, 2019, URBAN STUD, V56, P1075, DOI 10.1177/0042098017745235
   Mueller J, 2011, INFORM SYST J, V21, P479, DOI 10.1111/j.1365-2575.2010.00366.x
   Nafpo, 2022, STAT SECT REP FARM P
   Nakwa K., 2015, Int. J. Technol. Manag. Sustain. Dev., V14, P29, DOI [10.1386/TMSD.14.1.29_1, DOI 10.1386/TMSD.14.1.29_1]
   Nasscom, 2019, Agritech in India: Emerging Trends in 2019
   Nonaka I, 1998, CALIF MANAGE REV, V40, P40, DOI 10.2307/41165942
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Nsanzumuhire SU, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120861
   Overby Harald, 2021, INTRO DIGITAL EC FDN
   Panori A, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2020.104631
   Parrino L, 2015, KNOWL MAN RES PRACT, V13, P261, DOI 10.1057/kmrp.2013.47
   Thanh PT, 2022, J AGRIBUS DEV EMERG, V12, P531, DOI 10.1108/JADEE-09-2021-0243
   Poti S, 2022, J INDIAN BUS RES, V14, P65, DOI 10.1108/JIBR-04-2021-0145
   Powell WW, 2004, ANNU REV SOCIOL, V30, P199, DOI 10.1146/annurev.soc.29.010202.100037
   Rippa P, 2019, TECHNOL FORECAST SOC, V146, P900, DOI 10.1016/j.techfore.2018.07.013
   Roberts E, 2017, J RURAL STUD, V54, P372, DOI 10.1016/j.jrurstud.2016.03.001
   Roberts E, 2016, SOCIOL RURALIS, V56, P197, DOI 10.1111/soru.12075
   Roberts E, 2015, SCOT GEOGR J, V131, P253, DOI 10.1080/14702541.2015.1068947
   Scholz T., 2016, Platform Cooperativism: Challenging the Corporate Sharing Economy, DOI [10.1215/00382876-7825624, DOI 10.1215/00382876-7825624]
   Seawright J, 2008, POLIT RES QUART, V61, P294, DOI 10.1177/1065912907313077
   Sengupta T, 2021, TECHNOL FORECAST SOC, V170, DOI 10.1016/j.techfore.2021.120857
   Singh R., 2019, Emerald Emerg. Markets Case Stud., V9, P1
   Smedlund A., 2012, SERV SCI, V4, P79
   Spier S., 2022, ETHICS POLITICS PLAT
   Srinivasan R., 2021, Management for Professionals, Vfirst, DOI [10.1007/978-981-16-2838-2, DOI 10.1007/978-981-16-2838-2]
   Stallkamp M, 2021, GLOB STRATEG J, V11, P58, DOI 10.1002/gsj.1336
   Steinfield L, 2019, J PROD INNOVAT MANAG, V36, P764, DOI 10.1111/jpim.12510
   SVM, 2020, The Annual meghalaya Magazine 2020
   Tang WC, 2020, J RURAL STUD, V75, P20, DOI 10.1016/j.jrurstud.2020.02.010
   Theodorakopoulos N, 2012, TECHNOVATION, V32, P550, DOI 10.1016/j.technovation.2012.05.001
   Tim YN, 2021, INFORM SYST J, V31, P323, DOI 10.1111/isj.12312
   Tome E., 2020, Management dynamics in the knowledge economy, V8, P451
   Trendov N. M., 2019, Digital technologies in agriculture and rural areas-Status report
   van Biljon J, 2017, INFORM TECHNOL DEV, V23, P463, DOI 10.1080/02681102.2017.1328654
   van Dijck J, 2019, INTERNET POLICY REV, V8, DOI 10.14763/2019.2.1414
   van Meeteren M, 2022, TECHNOL FORECAST SOC, V179, DOI 10.1016/j.techfore.2022.121631
   Verona G, 2006, ORGAN STUD, V27, P765, DOI 10.1177/0170840606061073
   Virkkala S, 2007, EUR PLAN STUD, V15, P511, DOI 10.1080/09654310601133948
   Westlund H, 2006, ADV SPAT SCI, P1
   Williamson OE, 1998, AM ECON REV, V88, P75
   Yin R. K., 2014, CASE STUDY RES DESIG
   YIN RK, 1981, ADMIN SCI QUART, V26, P58, DOI 10.2307/2392599
   YIN RK, 1994, EVAL PRACT, V15, P283, DOI 10.1016/0886-1633(94)90023-X
   Zhang YN, 2022, J RURAL STUD, V93, P196, DOI 10.1016/j.jrurstud.2018.12.001
   Zouain D.M., 2015, Triple Helix, V2, DOI [10.1186/s40604-015-0018-1, DOI 10.1186/S40604-015-0018-1]
NR 112
TC 19
Z9 19
U1 50
U2 129
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
EI 1873-1392
J9 J RURAL STUD
JI J. Rural Stud.
PD DEC
PY 2023
VL 104
AR 103164
DI 10.1016/j.jrurstud.2023.103164
EA NOV 2023
PG 16
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA AM8X3
UT WOS:001118985200001
DA 2025-04-22
ER

PT J
AU Khan, S
   Zaman, AU
AF Khan, Shahed
   Zaman, Atiq Uz
TI Future cities: Conceptualizing the future based on a critical
   examination of existing notions of cities
SO CITIES
LA English
DT Article
DE Urbanization; City planning; City branding; Urban forms; Urban
   characteristics; Future cities
ID AGE-FRIENDLY CITIES; CREATIVE CITY; ECO-CITY; SUSTAINABLE CONSUMPTION;
   URBAN ENVIRONMENTS; RESILIENT CITIES; CLIMATE-CHANGE; GLOBAL CITIES;
   COMPACT CITY; DIMENSIONS
AB Assigning labels to cities that evoke desirable features has become increasingly popular in recent years with city administrators promoting various notions of the desired city. This article examines the various labels used to classify cities and identifies the key characteristics that each label "tends to highlight. It is contended that as proponents of variously labelled cities pursue certain aspects of sustainability, their focus may be too narrow to cover the broad spectrum of sustainability.
   A literature review of various notions of desirable cities promoted under various labels suggests that cities of the future would need to be dynamic and intelligent in every aspect of social, economic and environmental sustainability. Therefore, it is important that all aspects of sustainability are considered in envisioning the desired future in which to conceptualize the cities of the future. It can be assumed from the past trends of urbanization that future cities will continue to uphold and build upon common goals and values of existing cities such as promoting pleasant urban form, community engagement, economic opportunities, and technological advancement and cultural diversity.
   This paper reports on a systematic critical review of literature of twelve popular notions/labels of desirable cities as apparent from a scan of citation indices of peer reviewed articles. It identifies the level of consideration of various aspects of sustainability in the central focus of proponents of each notion. It then maps out the concern for sustainability along ten dimensions of sustainability.
   The findings of the study demonstrate that not all notions/labels of desired cities consider sufficient breadth of the sustainability spectrum. Similarly, in cumulative terms, the various notions of desirable cities amount to different levels of consideration for various aspects of sustainability.
   The paper concludes by pointing out the need to ensure that the overall focus of scholars dealing with the built environment at any given time provides a balanced regard to all aspects of sustainability.
C1 [Khan, Shahed; Zaman, Atiq Uz] Curtin Univ, Sch Built Environm, Perth, WA, Australia.
C3 Curtin University
RP Khan, S (corresponding author), Curtin Univ, Sch Built Environm, Perth, WA, Australia.
EM S.Khan@curtin.edu.au; atiq.zaman@curtin.edu.au
RI Zaman, Atiq/AAI-8578-2020
OI Khan, Shahed/0000-0003-3812-1724; Zaman, Atiq/0000-0001-8985-0383
CR Agyeman J., 2013, SHARING CITIES FRIEN, V2013, P1
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahvenniemi H, 2017, CITIES, V60, P234, DOI 10.1016/j.cities.2016.09.009
   [Anonymous], 2014, International Journal of Global Environmental Issues
   [Anonymous], DISP PLANNING REV
   Atkinson R, 2009, INT J URBAN REGIONAL, V33, P64, DOI 10.1111/j.1468-2427.2009.00837.x
   Banister D, 2000, TRANSPORT REV, V20, P113, DOI 10.1080/014416400295365
   Bayliss D, 2007, EUR PLAN STUD, V15, P889, DOI 10.1080/09654310701356183
   Bhatt V, 2010, J RENEW SUSTAIN ENER, V2, DOI 10.1063/1.3456367
   Bibri S. E., 2017, SUSTAINABLE CITIES S
   BREHENY M, 1995, T I BRIT GEOGR, V20, P81, DOI 10.2307/622726
   Brenner N, 1998, REV INT POLIT ECON, V5, P1, DOI 10.1080/096922998347633
   Brenner N, 2014, INT J URBAN REGIONAL, V38, P731, DOI 10.1111/1468-2427.12115
   Buffel T, 2012, CRIT SOC POLICY, V32, P597, DOI 10.1177/0261018311430457
   Bullivant L., 2012, MATERPLANNING FUTURE
   C40, 2016, WHY CIT END CLIM CHA
   Cao S, 2011, PROCEDIA ENVIRON SCI, V5, P199, DOI 10.1016/j.proenv.2011.03.067
   Castells M., 1977, URBAN QUESTION MARXI
   Chan JKH, 2016, LANDSCAPE URBAN PLAN, V154, P123, DOI 10.1016/j.landurbplan.2016.03.017
   Cheng HF, 2010, J ENVIRON MONITOR, V12, P119, DOI [10.1039/b911473d, 10.1039/B911473D]
   Chiesura A, 2004, LANDSCAPE URBAN PLAN, V68, P129, DOI 10.1016/j.landurbplan.2003.08.003
   Coaffee J., 2006, International Relations, V20, P503, DOI DOI 10.1177/0047117806069416
   Cohen B., 2015, J CLEANER PRODUCTION
   Davy B, 2008, PLAN THEOR, V7, P301, DOI 10.1177/1473095208096885
   de Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   Dieleman F., 2004, BUILD ENVIRON, V30, P308
   European Commission, 2023, Smart Cities
   Feliciano M, 2011, CITIES, V28, P505, DOI 10.1016/j.cities.2011.04.004
   Flint J., 2012, FIGURE SUSTAINABLE C
   Florida R., 2003, City Community, V2, P3, DOI DOI 10.1111/1540-6040.00034
   Forster C, 2006, GEOGR RES-AUST, V44, P173, DOI 10.1111/j.1745-5871.2006.00374.x
   Giffinger Rudolf., 2007, City-ranking of European medium-sized cities
   Girardet H., 2004, CREATING SUSTAINABLE
   Glaeser E., 2001, 1942 HARV I EC RES
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gordon P, 1997, J AM PLANN ASSOC, V63, P95, DOI 10.1080/01944369708975727
   Hayter S., 2002, PHOTOVOLTAICS BUILDI
   Heinrichs H, 2013, GAIA, V22, P228, DOI 10.14512/gaia.22.4.5
   Holden E, 2005, URBAN STUD, V42, P2145, DOI 10.1080/00420980500332064
   Holden M, 2013, CITIES, V31, P444, DOI 10.1016/j.cities.2012.07.013
   Howard E., 1902, Garden Cities of To-Morrow
   Iaione C, 2016, AM J ECON SOCIOL, V75, P415, DOI 10.1111/ajes.12145
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jabareen YR, 2006, J PLAN EDUC RES, V26, P38, DOI 10.1177/0739456X05285119
   John B, 2015, CITIES, V48, P86, DOI 10.1016/j.cities.2015.06.001
   Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107
   Kenworthy JR, 2006, ENVIRON URBAN, V18, P67, DOI 10.1177/0956247806063947
   KeTTHA, 2011, LOW CARB CIT FRAM AS
   Khan S, 2015, CONT ISSUES AUSTR UR, P15
   Lees L, 1998, URBAN GEOGR, V19, P332, DOI 10.2747/0272-3638.19.4.332
   Lehmann S, 2013, HABITAT INT, V37, P61, DOI 10.1016/j.habitatint.2011.12.014
   Lehmann S, 2011, SUSTAINABILITY-BASEL, V3, P155, DOI 10.3390/su3010155
   Li F, 2005, LANDSCAPE URBAN PLAN, V72, P325, DOI 10.1016/j.landurbplan.2004.04.002
   Lui CW, 2009, AUSTRALAS J AGEING, V28, P116, DOI 10.1111/j.1741-6612.2009.00355.x
   Mark J.J., 2014, The ancient city: Definition, ancient history encyclopaedia
   Meijer M, 2011, CITIES, V28, P536, DOI 10.1016/j.cities.2011.07.001
   Nam TaewooTheresa Pardo., 2011, Conceptualizing Smart City with Dimensions of Technology, People, and Institutions, P282, DOI [10.1145/2037556.2037602, DOI 10.1145/2037556.2037602]
   Nassar U., 2013, INT J SOC SCI HUMANI, V3, P339, DOI [10.7763/IJSSH.2013.V3.258, DOI 10.7763/IJSSH.2013.V3.258]
   Neal MB, 2014, J AGING SOC POLICY, V26, P88, DOI 10.1080/08959420.2014.854651
   Neirotti P, 2014, CITIES, V38, P25, DOI 10.1016/j.cities.2013.12.010
   Neuman M, 2005, J PLAN EDUC RES, V25, P11, DOI 10.1177/0739456X04270466
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   Newman P, 2016, THESIS ELEV, V135, P139, DOI 10.1177/0725513616657906
   Norgate SH, 2012, P I CIVIL ENG-MUNIC, V165, P231, DOI 10.1680/muen.12.00019
   Obeng-Odoom F, 2012, NORSK GEOGR TIDSSKR, V66, P204, DOI 10.1080/00291951.2012.707989
   Odendaal N., 2003, Computers, Environment and Urban Systems, V27, P585, DOI 10.1016/S0198-9715(03)00016-4
   Olds K, 1997, CITIES, V14, P109, DOI 10.1016/S0264-2751(96)00048-0
   Oribe-Garcia I, 2015, WASTE MANAGE, V39, P26, DOI 10.1016/j.wasman.2015.02.017
   Pacione M, 2003, LANDSCAPE URBAN PLAN, V65, P21, DOI 10.1016/S0169-2046(02)00234-7
   Paizs F., 2012, URBAN PLANNING TERRO
   Pan H. X., 2008, J URBAN PLANNING, V6, P57
   Phillipson C, 2011, HANDB SOCIOL SOC RES, P279, DOI 10.1007/978-1-4419-7374-0_18
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Ponzini D, 2010, URBAN STUD, V47, P1037, DOI 10.1177/0042098009353073
   Ramsar, 2012, RAMS CONV WETL
   Reiche D, 2010, ENERG POLICY, V38, P378, DOI 10.1016/j.enpol.2009.09.028
   Riffat S., 2016, A SpringerOpen Journal, V2, P1, DOI DOI 10.1186/S40984-016-0014-2
   Roseland M, 1997, CITIES, V14, P197, DOI 10.1016/S0264-2751(97)00003-6
   Sasaki M, 2010, CITIES, V27, pS3, DOI 10.1016/j.cities.2010.03.002
   Sassen Saskia., 2013, GLOBAL CITY NEW YORK, DOI [10.2307/j.ctt2jc93q, DOI 10.2307/J.CTT2JC93Q]
   Siddiqi A, 2013, J INFRASTRUCT SYST, V19, P474, DOI 10.1061/(ASCE)IS.1943-555X.0000153
   Smith N, 2002, ANTIPODE, V34, P427, DOI 10.1111/1467-8330.00249
   Steels S, 2015, CITIES, V47, P45, DOI 10.1016/j.cities.2015.02.004
   Sterling R, 1997, TUNN UNDERGR SP TECH, V12, P479, DOI 10.1016/S0886-7798(98)00007-8
   Su KH, 2011, 2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), P1028, DOI 10.1109/ICECC.2011.6066743
   UN-MEA, 2006, UN MILL EC ASS
   United Nations, 2013, AGEING
   Vanolo A, 2008, CITIES, V25, P370, DOI 10.1016/j.cities.2008.08.001
   Vergragt PJ, 2016, J CLEAN PROD, V134, P1, DOI 10.1016/j.jclepro.2016.05.050
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Whitford V, 2001, LANDSCAPE URBAN PLAN, V57, P91, DOI 10.1016/S0169-2046(01)00192-X
   WHO, 2007, Global Age-Friendly Cities: A Guide
   Williams G, 2000, CITIES, V17, P293, DOI 10.1016/S0264-2751(00)00025-1
   Wu FL, 2000, URBAN STUD, V37, P1359, DOI 10.1080/00420980020080161
   WWF, 2016, WHY CIT CIT CAN MUST
   YENCKEN D, 1988, MEANJIN, V47, P597
   Young RF, 2016, LANDSCAPE URBAN PLAN, V155, P91, DOI 10.1016/j.landurbplan.2016.04.012
   Zaman AU., 2011, City Cult Soc, V2, P177, DOI [DOI 10.1016/J.CCS.2011.11.007, 10.1016/j.ccs.2011.11.007]
NR 98
TC 41
Z9 46
U1 5
U2 113
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD FEB
PY 2018
VL 72
BP 217
EP 225
DI 10.1016/j.cities.2017.08.022
PN B
PG 9
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA FR9SZ
UT WOS:000419414700002
DA 2025-04-22
ER

PT J
AU Tully, C
   Rose, M
   Breen, S
   Herrera, N
   Shelef, DQ
   Streisand, R
   Teach, SJ
AF Tully, Carrie
   Rose, Meredith
   Breen, Sarah
   Herrera, Nicole
   Shelef, Deborah Quint
   Streisand, Randi
   Teach, Stephen J.
TI Relationship Between Parent Mood and Resilience and Child Health
   Outcomes in Pediatric Asthma
SO FAMILIES SYSTEMS & HEALTH
LA English
DT Article
DE asthma; pediatrics; parents; depression; resilience
ID DISPARITIES; STRESS; LIFE
AB Introduction: Asthma is the most common pediatric chronic disease and disproportionately affects urban, minority, and disadvantaged youth. This study explored the relationship between parent and child psychosocial functioning and asthma-related health outcomes in a sample of at-risk children with asthma. We hypothesized that greater parent resilience would be associated with better parent mood, more symptom-free days (SFDs), better child mood, and less child anxiety. Further, we hypothesized that parent resilience would moderate the relationship between parent mood and SFDs. Method: We performed a secondary analysis of baseline cross-sectional enrollment data. Parents of African American children on Medicaid with persistent asthma reported their children's asthma SFDs and their own measures of parent quality of life, mood, and resilience, and child mood and anxiety. Results: Baseline data from 217 parents (92.2% female, M-age = 33.8 years +/- 9.5) of children (M-age = 6.6 years +/- 2.3) were available. Parent resilience was significantly associated with parent mood. Better parent-reported quality of life (QOL) and mood were significantly associated with more child asthma SFDs. In contrast to our hypothesis, parent resilience did not moderate the relationship between parent mood and SFDs. Discussion: Higher parent-reported QOL and mood were significantly associated with better parent report of child asthma SFDs. Although parent resilience was associated with parent mood, it did not moderate the relationship to child SFDs. Future research is warranted to better understand the unique contribution of resilience in families with children with asthma.
C1 [Tully, Carrie; Rose, Meredith; Breen, Sarah; Herrera, Nicole; Shelef, Deborah Quint; Streisand, Randi; Teach, Stephen J.] Childrens Natl Hlth Syst, Ctr Translat Res, 111 Michigan Ave NW, Washington, DC 20010 USA.
C3 Children's National Health System
RP Tully, C (corresponding author), Childrens Natl Hlth Syst, Ctr Translat Res, 111 Michigan Ave NW, Washington, DC 20010 USA.
EM ctully1@childrensnational.org
FU Patient-Centered Outcomes Research Institute (PCORI) Award
   [AS-1307-05284]
FX Research reported in this publication was funded through a
   Patient-Centered Outcomes Research Institute (PCORI) Award
   (AS-1307-05284). The views, statements, and opinions in this article are
   solely the responsibility of the authors and do not necessarily
   represent the views of the Patient-Centered Outcomes Research Institute
   (PCORI) or its Board of Governors or Methodology Committee.
CR [Anonymous], 2007, GUID DIAGN MAN ASTHM
   Beck AF, 2016, JAMA PEDIATR, V170, P695, DOI 10.1001/jamapediatrics.2016.0269
   Bevans KB, 2013, J PEDIATR PSYCHOL, V38, P173, DOI 10.1093/jpepsy/jss107
   Centers for Disease Control and Prevention, 2018, NAT CURR ASTHM PREV
   Juniper EF, 1996, QUAL LIFE RES, V5, P27, DOI 10.1007/BF00435966
   Kranjac AW, 2017, MATERN CHILD HLTH J, V21, P1552, DOI 10.1007/s10995-017-2286-z
   RADLOFF L S, 1977, Applied Psychological Measurement, V1, P385, DOI 10.1177/014662167700100306
   Rozario PA, 2010, PSYCHIAT RES, V179, P107, DOI 10.1016/j.psychres.2010.06.022
   SCHEIER MF, 1994, J PERS SOC PSYCHOL, V67, P1063, DOI 10.1037/0022-3514.67.6.1063
   Shelef DQ, 2016, J ALLERGY CLIN IMMUN, V138, P1512, DOI 10.1016/j.jaci.2016.10.001
   Teach SJ, 2006, ARCH PEDIAT ADOL MED, V160, P535, DOI 10.1001/archpedi.160.5.535
   Woods-Giscombé CL, 2010, J EVID-BASED INTEGR, V15, P115, DOI 10.1177/1533210110386776
NR 12
TC 10
Z9 13
U1 0
U2 17
PU EDUCATIONAL PUBLISHING FOUNDATION-AMERICAN PSYCHOLOGICAL ASSOC
PI WASHINGTON
PA 750 FIRST ST, NE, WASHINGTON, DC 20002-4242 USA
SN 1091-7527
EI 1939-0602
J9 FAM SYST HEALTH
JI Fam. Syst. Health
PD JUN
PY 2019
VL 37
IS 2
BP 167
EP 172
DI 10.1037/fsh0000417
PG 6
WC Health Care Sciences & Services; Family Studies; Public, Environmental &
   Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Health Care Sciences & Services; Family Studies; Public, Environmental &
   Occupational Health
GA IC3QE
UT WOS:000470875200007
PM 31058528
DA 2025-04-22
ER

PT J
AU Verdaguer, M
   Molinos-Senante, M
   Clara, N
   Santana, M
   Gernjak, W
   Poch, M
AF Verdaguer, Marta
   Molinos-Senante, Maria
   Clara, Narcis
   Santana, Mark
   Gernjak, Wolfgang
   Poch, Manel
TI Optimal fresh water blending: A methodological approach to improve the
   resilience of water supply systems
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Drinking water supply; Ant-colony-optimization algorithm; Resilience;
   Costs; Fresh water blending; Water treatment
ID DRINKING-WATER; CLIMATE-CHANGE; ANT SYSTEM; OPTIMIZATION; COLONY;
   MANAGEMENT; QUALITY; ALGORITHM; FRAMEWORK; BASIN
AB Climate change and socioeconomic factors have increased the complexity of urban water supply systems. Thus, fresh water sources are being gradually diversified to improve the reliability and resilience of the systems. However, as the number of source blending options grows, optimization tools are needed to design drinking water supply systems that comply with indicators of cost, resilience, and water quality. This paper proposes a pioneering methodological approach, based on an ant-colony-optimization (ACO) algorithm, to optimize the blending of drinking water from different sources to minimize operational costs of a given system originating from a number of impaired water sources while complying with water quality standards. To evidence the potential of the ACO algorithm to solve such a system, a virtual case study was designed that considers eight fresh water sources, including seawater desalination and potable reuse. Seven scenarios were developed with different weightings to service outage, water conveyance and treatment costs while complying with water quality goals in regard to total organic carbon, nitrates, and total dissolved solids. It was shown that the cost per volumetric unit of water can vary considerably depending on the weightings of the three cost items. This paper provides a rigorous scientific approach to propose a methodology supporting the decision-making process of selecting mixture of different sources to achieve the overall lowest system cost. Hence, this work contributes to improving the resilience and sustainability of urban water supplies. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Verdaguer, Marta; Poch, Manel] Univ Girona, Inst Environm, Lab Chem & Environm Engn LEQUIA, Girona 17003, Spain.
   [Molinos-Senante, Maria] Pontificia Univ Catolica Chile, Dept Hydraul & Environm Engn, Av Vicuna Mackenna 4860, Santiago, Chile.
   [Molinos-Senante, Maria] CONICYT FONDAP 15110017, Natl Res Ctr Integrated Nat Disaster Management C, Vicuna Mackenna 4860, Santiago, Chile.
   [Molinos-Senante, Maria] CONICYT FONDAP 15110020, Ctr Sustainable Urban Dev, Av Vicuna Mackenna 4860, Santiago, Chile.
   [Clara, Narcis] Univ Girona, Dept Comp Sci Appl Math & Stat, Girona 17003, Spain.
   [Santana, Mark; Gernjak, Wolfgang] Catalan Inst Water Res ICRA, Emili Grahit 101, Girona 17003, Spain.
   [Gernjak, Wolfgang] Catalan Inst Res & Adv Studies ICREA, Passeig Lluis Co 23, Barcelona 08010, Spain.
C3 Universitat de Girona; Pontificia Universidad Catolica de Chile;
   Universitat de Girona; Institut Catala de Recerca de l'Aigua (ICRA);
   ICREA
RP Verdaguer, M (corresponding author), Univ Girona, C M Aurelia Capmany 61,Campus Montilivi, Girona 17071, Spain.
EM marta.verdaguer@udg.edu
RI Gernjak, Wolfgang/D-3252-2018; Molinos-Senante, Maria/A-8523-2016;
   Verdaguer, Marta/K-3917-2014
OI Gernjak, Wolfgang/0000-0003-3317-7710; Molinos-Senante,
   Maria/0000-0002-6689-6861; Verdaguer, Marta/0000-0001-8673-9866
FU MINECO [CTQ2014-53718-R]; National Research Center for Integrated
   Natural Disaster Management (CIGIDEN) [CONICYT/FONDAP/15110017]
FX The authors would like to acknowledge the funding of MINECO through the
   project CTQ2014-53718-R and the National Research Center for Integrated
   Natural Disaster Management (CIGIDEN) CONICYT/FONDAP/15110017.
CR Afshar A, 2015, WATER RESOUR MANAG, V29, P3891, DOI 10.1007/s11269-015-1016-9
   [Anonymous], 2016, INT DEC ACT WAT LIF
   Ashbolt S, 2014, WATER RESOUR MANAG, V28, P2367, DOI 10.1007/s11269-014-0620-4
   Bangash RF, 2013, SCI TOTAL ENVIRON, V458, P246, DOI 10.1016/j.scitotenv.2013.04.025
   Boithias L, 2014, SCI TOTAL ENVIRON, V470, P567, DOI 10.1016/j.scitotenv.2013.10.003
   Cordon Garcia O., 2002, Mathw. Soft Comput., V9, P141
   Crittenden J.C., 2012, Water treatment principles and design, V3rd
   Di Matteo L, 2017, SCI TOTAL ENVIRON, V598, P733, DOI 10.1016/j.scitotenv.2017.04.153
   Dorigo M, 2005, THEOR COMPUT SCI, V344, P243, DOI 10.1016/j.tcs.2005.05.020
   Dorigo M, 1996, IEEE T SYST MAN CY B, V26, P29, DOI 10.1109/3477.484436
   Dorigo M., 1999, P 1999 C EV COMP WAS
   Dorigo M., 2004, ANT COLONY OPTIMIZAT
   Dorigo M, 2006, IEEE COMPUT INTELL M, V1, P28, DOI 10.1109/MCI.2006.329691
   Draper AJ, 2003, J WATER RES PL-ASCE, V129, P155, DOI 10.1061/(ASCE)0733-9496(2003)129:3(155)
   Favaretto D, 2009, LECT NOTES COMPUT SC, V5752, P115, DOI 10.1007/978-3-642-03751-1_10
   Fielding KS, 2015, WATER RESOUR MANAG, V29, P4501, DOI 10.1007/s11269-015-1072-1
   Gonzales P, 2017, SUSTAIN CITIES SOC, V30, P128, DOI 10.1016/j.scs.2017.01.012
   Hayashi N., 2008, Water Science and Technology: Water Supply, V8, P271, DOI 10.2166/ws.2008.071
   Kondili E, 2010, DESALINATION, V250, P297, DOI 10.1016/j.desal.2009.09.046
   Lee CS, 2016, SCI TOTAL ENVIRON, V557, P91, DOI 10.1016/j.scitotenv.2016.02.213
   Li YF, 2016, ENVIRON POLLUT, V208, P87, DOI 10.1016/j.envpol.2015.08.042
   Li Y, 2016, SCI TOTAL ENVIRON, V569, P168, DOI 10.1016/j.scitotenv.2016.06.110
   Li ZW, 2014, J ENVIRON ENG, V140, DOI 10.1061/(ASCE)EE.1943-7870.0000824
   Liu PL, 2017, SCI TOTAL ENVIRON, V589, P73, DOI 10.1016/j.scitotenv.2017.02.210
   Liu SS, 2011, COMPUT CHEM ENG, V35, P858, DOI 10.1016/j.compchemeng.2011.01.032
   Loganathan P, 2013, J ENVIRON MANAGE, V131, P363, DOI 10.1016/j.jenvman.2013.09.034
   Lu CQ, 2015, CHEMOSPHERE, V139, P638, DOI 10.1016/j.chemosphere.2014.12.059
   Luo Q, 2012, SCI TOTAL ENVIRON, V437, P219, DOI 10.1016/j.scitotenv.2012.08.023
   Molinos-Senante M, 2016, SCI TOTAL ENVIRON, V539, P470, DOI 10.1016/j.scitotenv.2015.08.155
   Nahas N, 2005, RELIAB ENG SYST SAFE, V87, P1, DOI 10.1016/j.ress.2004.02.007
   Padowski JC, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104004
   Porse E, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000803
   Sanchez NP, 2014, ENVIRON SCI TECHNOL, V48, P1582, DOI 10.1021/es4049384
   Santana MV, 2017, LANDSCAPE URBAN PLAN, V164, P99, DOI 10.1016/j.landurbplan.2017.04.010
   Stützle T, 2002, IEEE T EVOLUT COMPUT, V6, P358, DOI 10.1109/TEVC.2002.802444
   Stützle T, 2000, FUTURE GENER COMP SY, V16, P889, DOI 10.1016/S0167-739X(00)00043-1
   Verdaguer M, 2014, SCI TOTAL ENVIRON, V485, P143, DOI 10.1016/j.scitotenv.2014.02.140
   Verdaguer M, 2016, PROCESS SAF ENVIRON, V102, P799, DOI 10.1016/j.psep.2016.06.017
   Verdaguer M, 2016, WASTE MANAGE, V50, P49, DOI 10.1016/j.wasman.2016.01.047
   Vob S., 2001, LNAI, V2148, P1, DOI DOI 10.1007/3-540-45612-0_1
   Wang XL, 2009, J ENVIRON MANAGE, V90, P2628, DOI 10.1016/j.jenvman.2009.02.008
   Wu WY, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000811
NR 42
TC 13
Z9 14
U1 6
U2 43
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD MAY 15
PY 2018
VL 624
BP 1308
EP 1315
DI 10.1016/j.scitotenv.2017.12.204
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA FX8PB
UT WOS:000426355900131
PM 29929243
DA 2025-04-22
ER

PT J
AU Sobhaninia, S
   Amirzadeh, M
   Lauria, M
   Sharifi, A
AF Sobhaninia, Saeideh
   Amirzadeh, Melika
   Lauria, Mickey
   Sharifi, Ayyoob
TI The relationship between place identity and community resilience:
   Evidence from local communities in Isfahan, Iran
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Place identity; Community resilience; Social resilience; Urban
   resilience; Isfahan; Climate change
ID CLIMATE-CHANGE; DISASTER RECOVERY; NEW-ORLEANS; ATTACHMENT; ADAPTATION;
   CAPACITIES; FRAMEWORK; SENSE
AB Today, many cities are experiencing many natural disasters and hazards due to climate change, particularly in the Global South. Environmental risks increase acute community vulnerabilities that worsen the effects of these hazards and make a recovery more difficult. However, community resilience can decrease people's vulnerabilities and improve their capacity to cope with and adapt to environmental hazards. It is assumed that place identity, as a cultural resource, can positively affect the resilience of communities. This exploratory survey research, thus, aims to understand the relationship between place identity and community resilience. Data is gathered using a ques-tionnaire survey and analyzed using the principal component analysis. Case studies are two local communities in Isfahan, Iran, the Abbas Abad neighborhood and Barazandeh neighborhood, af-fected by the drying up of Zayandehrood River's aqueducts. The study results show a positive cor-relation between place identity and community resilience in the selected communities. The com-munity with a stronger place identity tended to show stronger community resilience than the other. Therefore, it can be concluded that improving place identity might contribute to better community adaptation and recovery in times of slow-onset or sudden environmental disruptions. However, this relationship should not be considered a causal relationship. The present study highlights the role of place identity in community adaptive capacities and helps policymakers better plan to enhance community resilience. Policymakers can use the study's results to em-power the communities facing slow-onset environmental disruptions.
C1 [Sobhaninia, Saeideh] Clemson Univ, Planning Design & Built Environm, 511 Roper Mt Rd, Greenville, SC 29615 USA.
   [Amirzadeh, Melika] Univ Art, Sch Architecture & Urban Planning, Tehran 24 Arghavan Alley,Laleh St,Artesh Blvd, Tehran 1955893513, Iran.
   [Lauria, Mickey] Clemson Univ, Planning Design & Built Environm, 2-315 Lee Hall, Clemson, SC 29634 USA.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Humanities & Social Sci, Hiroshima 7398511, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, Hiroshima 7398511, Japan.
   [Sobhaninia, Saeideh] 511 Roper Mt Rd, Greenville, SC 29615 USA.
C3 Clemson University; Clemson University; Hiroshima University; Hiroshima
   University
RP Sobhaninia, S (corresponding author), 511 Roper Mt Rd, Greenville, SC 29615 USA.
EM ssobhan@clemson.edu; melika.amirzadeh@gmail.com; mlauria@clemson.edu;
   sharifi@hiroshima-u.ac.jp
RI Sobhaninia, Saeideh/KFY-5918-2024; AMIRZADEH, MELIKA/HIR-9975-2022;
   Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613; Amirzadeh,
   Melika/0000-0002-5223-818X; Sobhaninia, Saeideh/0000-0003-1425-3060
CR Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Amirzadeh M., 2019, J ENV SCI TECHNOL, DOI [10.22034/JEST.2019.43822.4637, DOI 10.22034/JEST.2019.43822.4637]
   Amirzadeh M., 2019, J ENV STUD, V44, P763, DOI [10.22059/JES.2019.269819.1007777, DOI 10.22059/JES.2019.269819.1007777]
   Amirzadeh M, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104326
   Amirzadeh M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102599
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Asadzadeh A, 2022, CITIES, V125, DOI 10.1016/j.cities.2022.103642
   Bergstrand K, 2020, SOC NATUR RESOUR, V33, P386, DOI 10.1080/08941920.2019.1709002
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bernardo F, 2016, J ENVIRON PSYCHOL, V45, P239, DOI 10.1016/j.jenvp.2016.01.010
   Block K, 2019, HEALTH PLACE, V57, P61, DOI 10.1016/j.healthplace.2019.03.007
   Brown BarbaraB., 1992, HUMAN BEHAV ENV, V12, P279, DOI [10.1007/978-1-4684-8753-413, DOI 10.1007/978-1-4684-8753-413]
   Buckman S., 2020, SUSTAINABILITY 21 CE, P129
   Buckman S, 2016, J URBAN DES, V21, P785, DOI 10.1080/13574809.2016.1234332
   Buckman Stephen T., 2022, J SUSTAINABLE REAL E, V14, P4, DOI [https://doi.org/10.1080/19498276.2022.2095699, DOI 10.1080/19498276.2022.2095699]
   Chamlee-Wright E, 2009, J URBAN AFF, V31, P615, DOI 10.1111/j.1467-9906.2009.00479.x
   Cheshmehzangi A, 2012, PROCD SOC BEHV, V36, P253, DOI 10.1016/j.sbspro.2012.03.028
   Cohen O, 2013, TECHNOL FORECAST SOC, V80, P1732, DOI 10.1016/j.techfore.2012.12.009
   Cox RS, 2011, AM J COMMUN PSYCHOL, V48, P395, DOI 10.1007/s10464-011-9427-0
   Cretney RM, 2017, URBAN GEOGR, V38, P8, DOI 10.1080/02723638.2016.1139865
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Devine-Wright P, 2013, GLOBAL ENVIRON CHANG, V23, P61, DOI 10.1016/j.gloenvcha.2012.08.003
   Diaz J., 2008, The Australasian Journal of Disaster and Trauma Studies, V1, P1174
   Elisha I., 2017, IOSR. J. Environ. Sci., Toxicol. Food Technol, V11, P1
   ERIKSON KT, 1976, AM J PSYCHIAT, V133, P302
   Fatolahzadeh S, 2022, GEOTECH GEOL ENG, V40, P1989, DOI 10.1007/s10706-021-02004-6
   Fields B., 2015, J. Urban.: Int. Res. Place. Urban. Sustain., V8, P38, DOI DOI 10.1080/17549175.2014.881410
   Fischer A, 2017, J RURAL STUD, V54, P187, DOI 10.1016/j.jrurstud.2017.06.020
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Ghalehnoee M., 2015, J ENV STUD, V40, P1067, DOI [10.22059/JES.2014.53020,392, DOI 10.22059/JES.2014.53020,392]
   Ghasemzadeh B., 2014, J ENV STUD, V40, P481, DOI [10.22059/JES.2014.51214, DOI 10.22059/JES.2014.51214]
   Goorabi A, 2020, J ARID ENVIRON, V181, DOI 10.1016/j.jaridenv.2020.104238
   Guo YR, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072347
   Gustafson P, 2001, ENVIRON BEHAV, V33, P667, DOI 10.1177/00139160121973188
   Hess JJ, 2008, AM J PREV MED, V35, P468, DOI 10.1016/j.amepre.2008.08.024
   Hidalgo MC, 2001, J ENVIRON PSYCHOL, V21, P273, DOI 10.1006/jevp.2001.0221
   Hutanuwatr K., 2013, FORCES NATURE CULTUR, P69
   Kamara J.K., 2020, DISCRETE DYN NAT SOC, P1
   Kates RW, 2006, P NATL ACAD SCI USA, V103, P14653, DOI 10.1073/pnas.0605726103
   Lai LY, 2013, PROCD SOC BEHV, V85, P602, DOI 10.1016/j.sbspro.2013.08.389
   Ledger ME, 2012, ADV ECOL RES, V46, P211, DOI 10.1016/B978-0-12-396992-7.00003-4
   Leitch AM, 2014, GLOBAL ENVIRON CHANG, V26, P14, DOI 10.1016/j.gloenvcha.2014.03.006
   Lewicka M, 2005, J ENVIRON PSYCHOL, V25, P381, DOI 10.1016/j.jenvp.2005.10.004
   Lyon C, 2014, SOC NATUR RESOUR, V27, P1009, DOI 10.1080/08941920.2014.918228
   Ma ZX, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102892
   Ma ZX, 2022, DISASTER MED PUBLIC, V17, DOI 10.1017/dmp.2021.342
   Ma ZX, 2021, NAT HAZARDS, V108, P567, DOI 10.1007/s11069-021-04695-9
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Marín A, 2015, GLOBAL ENVIRON CHANG, V35, P450, DOI 10.1016/j.gloenvcha.2015.09.020
   Marshall NA, 2011, CLIMATIC CHANGE, V107, P511, DOI 10.1007/s10584-010-9962-y
   Masterson VA, 2017, ECOL SOC, V22, DOI 10.5751/ES-08872-220149
   Matarrita-Cascante D, 2017, COMMUNITY DEV, V48, P105, DOI 10.1080/15575330.2016.1248458
   McElduff L, 2018, AREA, V50, P186, DOI 10.1111/area.12419
   Me-Bar Y, 2004, J ARCHAEOL SCI, V31, P1311, DOI 10.1016/j.jas.2004.02.012
   Mihunov VV, 2018, ANN AM ASSOC GEOGR, V108, P739
   Moreno C, 2021, SMART CITIES-BASEL, V4, P93, DOI 10.3390/smartcities4010006
   Moser SC, 2015, URBAN CLIM, V14, P111, DOI 10.1016/j.uclim.2015.06.006
   Nakagawa S., 2004, International Journal of Mass Emergencies and Disasters, V22, P5, DOI DOI 10.1177/028072700402200101
   Nien-Te Kuo, 2021, J HOSP TOUR MANAG, V46, P40, DOI 10.1016/j.jhtm.2020.11.005
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ntontis E, 2021, BRIT J SOC PSYCHOL, V60, P1075, DOI 10.1111/bjso.12434
   Okunola O.H., 2022, REV INT POLIT ECON, V44
   Ostadtaghizadeh Abbas, 2015, PLoS Curr, V7, DOI 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed
   Pfefferbaum B, 2017, CLIN SOC WORK J, V45, P102, DOI 10.1007/s10615-015-0556-z
   Pretty J, 2003, SCIENCE, V302, P1912, DOI 10.1126/science.1090847
   Prewitt DiazJ.O., 2013, Global Journal of Community Psychology Practice, V4, P1
   Proshansky H.M., 1983, J ENVIRON PSYCHOL, V3, P57, DOI 10.1016/S0272-4944(83)80021-8
   PROSHANSKY HM, 1978, ENVIRON BEHAV, V10, P147, DOI 10.1177/0013916578102002
   Rapaport A., 1990, MEANING BUILT ENV
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   Reser JP, 2011, INT CULT PSYCHOL, P19, DOI 10.1007/978-1-4419-9742-5_2
   Rodin Judith., 2014, RESILIENCE DIVIDEND
   Rodriguez H., 2007, HDB DISASTER RES
   Scannell L, 2010, J ENVIRON PSYCHOL, V30, P1, DOI 10.1016/j.jenvp.2009.09.006
   Shamsuddin S, 2008, HABITAT INT, V32, P399, DOI 10.1016/j.habitatint.2008.01.004
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   Smith JW, 2012, RURAL SOCIOL, V77, P380, DOI 10.1111/j.1549-0831.2012.00082.x
   Sobhaninia S, 2022, INT J DISAST RISK RE, V69, DOI 10.1016/j.ijdrr.2021.102738
   Sorkhabi OM, 2022, KSCE J CIV ENG, V26, P2901, DOI 10.1007/s12205-022-2013-1
   Swapan MSH, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101937
   Townshend I, 2015, NAT HAZARDS, V76, P913, DOI 10.1007/s11069-014-1526-4
   Ujang N, 2012, PROCD SOC BEHV, V49, P156, DOI 10.1016/j.sbspro.2012.07.014
   Vaeztavakoli A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114010
   Wilson GA, 2018, LAND USE POLICY, V71, P372, DOI 10.1016/j.landusepol.2017.12.022
   Wilson GA, 2012, GEOFORUM, V43, P1218, DOI 10.1016/j.geoforum.2012.03.008
   Yasui E., 2007, WAKE 1995 KOBE EARTH
   Zakariya K, 2013, PROCD SOC BEHV, V85, P592, DOI 10.1016/j.sbspro.2013.08.388
   Zautra A, 2008, COMMUNITY DEV, V39, P130, DOI 10.1080/15575330809489673
   Zlender V, 2020, CITIES, V98, DOI 10.1016/j.cities.2019.102579
NR 92
TC 16
Z9 16
U1 8
U2 50
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD MAY
PY 2023
VL 90
AR 103675
DI 10.1016/j.ijdrr.2023.103675
EA APR 2023
PG 16
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA F0NA7
UT WOS:000979388300001
DA 2025-04-22
ER

PT J
AU Grifoni, RC
   Ottone, MF
   Prenna, E
AF Grifoni, Roberta Cocci
   Ottone, Maria Federica
   Prenna, Enrico
TI Tomographic Environmental Sections for Environmental Mitigation Devices
   in Historical Centers
SO ENERGIES
LA English
DT Article
DE tomographic environmental section (TENS) method; global warming; heat
   waves; urban acupuncture; computational fluid dynamics (CFD); outdoor
   comfort
AB Urban heat waves and the overall growing trend in the annual global temperature underline the importance of urban/architectural resilience and the need to reduce energy consumption. By designing urban voids, it is possible to create thermodynamic buffers, i.e., bubbles of controlled atmosphere that act as mediators between the natural and built environments, between the human body and the surrounding air, between meteorology and physiology (meteorological architecture). Multiple small actions in the urban fabric's open spaces, such as replacing dark pavements or inserting vegetation and green spaces, are intended to improve outdoor comfort conditions and therefore the resilience of the city itself. This not only benefits the place's quality, which is intrinsic to the new project, but also the insulating capacity of buildings, which are relieved of an external heat load. The design emphasis therefore changes from solid structures to the climate and weather conditions, which are invisible but perceivable. To design and control these constructed atmopheres, tomographic sections processed with computational fluid dynamics software (tomographic environmental section, TENS) becomes necessary. It allows the effects of an extreme event on an outdoor environment to be evaluated in order to establish the appropriate (adaptive) climate mitigation devices, especially in historical centers where energy retrofits are often discouraged. By fixing boundary conditions after a local intervention, the virtual environment can be simulated and then sliced to analyze initial values and verify the design improvements.
C1 [Grifoni, Roberta Cocci; Ottone, Maria Federica; Prenna, Enrico] Univ Camerino, SAD Sch Architecture & Design Eduardo Vittoria, Viale Rimembranza, I-63100 Ascoli Piceno, Italy.
C3 University of Camerino
RP Grifoni, RC (corresponding author), Univ Camerino, SAD Sch Architecture & Design Eduardo Vittoria, Viale Rimembranza, I-63100 Ascoli Piceno, Italy.
EM roberta.coccigrifoni@unicam.it; mariafederica.ottone@unicam.it;
   enrico.prenna@unicam.it
OI Cocci Grifoni, Roberta/0000-0002-7092-6293; OTTONE, Maria
   Federica/0000-0002-8454-8043
CR Ambrosini D, 2014, SUSTAINABILITY-BASEL, V6, P7013, DOI 10.3390/su6107013
   [Anonymous], 2000, P INT WORKSH WINDCH
   [Anonymous], 2015, 55 ASHRAE
   Bai XM, 2007, J IND ECOL, V11, P15, DOI 10.1162/jie.2007.1202
   Baynes T., 2009, TRAJECTORIES CHANGE
   Cocci Grifoni R., 2011, ECOL ENV, V155, P835
   De Sola-Morales M., 2008, MATTER OF THINGS
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Ganis M, 2016, ENVIRON PLANN B, V43, P1075, DOI 10.1177/0265813515602260
   International Energy Agency International Energy Agency, 2014, INT EN AG 2014 ANN R
   Jendritzky G., 1990, METHODOLOGY SPATIALL, V114
   Jendritzky G., 2001, P WINDS C THERM STAN
   Katzschner L., 2007, P SUN WIND ARCH 24 I, P103
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Latini G., 2010, P THERM PERF EXT ENV
   Lerner J., 2014, URBAN ACUPUNCTURE IS
   Maciel CD, 2015, INT J LOW-CARBON TEC, V10, P165, DOI 10.1093/ijlct/ctt016
   Musco F., 2016, Counteracting Urban Heat Island Effects in a Global Climate Change Scenario
   Oke TR, 2006, THEOR APPL CLIMATOL, V84, P179, DOI [10.1007/s00704-005-0153-0, 10.1007/S00704-005-0153-0]
   Ottone M. F., 2012, P 28 INT PLEA C SUST, P6
   Pachauri R. K., 2014, IPCC CLIMATE CHANGE
   Petrucci E., 2015, P CULT HER INT C HER
   Piano R., 2014, G12420132014 ORE
   Pickup J., 1999, P 15 INT C BIOM INT
   Salata F, 2015, SUSTAINABILITY-BASEL, V7, P9012, DOI 10.3390/su7079012
   Secchi B., 2013, LA CITTA RICCHI CITT
   Tirabassi T, 1999, ATMOS ENVIRON, V33, P2427, DOI 10.1016/S1352-2310(98)00371-9
   Wiley J, 2009, AD ARCHITECTURAL DES, V79
   Wong NH., 2009, TROPICAL URBAN HEAT
NR 29
TC 4
Z9 4
U1 2
U2 20
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD MAR
PY 2017
VL 10
IS 3
AR 351
DI 10.3390/en10030351
PG 18
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA ER3YR
UT WOS:000398736700091
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Hou, BW
   Huang, JM
   Miao, HQ
   Zhao, XD
   Wu, S
AF Hou, Benwei
   Huang, Jinmei
   Miao, Huiquan
   Zhao, Xudong
   Wu, Shan
TI Seismic resilience evaluation of water distribution systems considering
   hydraulic and water quality performance
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Water distribution system; Seismic resilience; Water quality; Hydraulic
   service; Resilience indicators
ID DISTRIBUTION NETWORKS; DESIGN; RELIABILITY; ROBUSTNESS; SIMULATION;
   FRAMEWORK; DAMAGE
AB The resilience evaluation of infrastructures provides an essential basis for resilience enhancement and disaster mitigation in urban communities. This study presents a seismic resilience evaluation framework of water distribution systems (WDSs) that integrates hydraulic with water quality simulation. The seismic damage scenarios of WDSs are generated according to the seismic fragility model of pipelines and Monte Carlo simulation, and the post-earthquake recovery of pipeline damages is simulated by a dynamic importance-based recovery sequence. The negative influence of earthquake hazards on water quality is investigated by the reduction of chlorine con-centration in water, which depends on the changes in water age and supply path caused by pipeline damages. The water quality performance of WDSs is measured by the residual chlorine concentration at user nodes, and two water quality performance indexes, namely, the water sup-ply that meets the quality threshold requirements and the water supply without quality deteriora-tion after the earthquake. The proposed framework is implemented in three benchmark WDSs with different layouts and operational features. Application results show that the water quality resilience of WDSs tends to be lower than that of hydraulic services, and the relative difference in system resilience loss between the water quality and hydraulic service performance ranges from 17% to 286%, which varied according to the layout of WDSs. The water source redundancy, and not the loop pattern of the pipeline network, has crucial impacts on the water quality resilience of WDSs after an earthquake event.
C1 [Hou, Benwei; Huang, Jinmei; Miao, Huiquan; Wu, Shan] Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China.
   [Zhao, Xudong] Army Engn Univ PLA, State Key Lab Explos & Impact & Disaster Prevent &, Nanjing 210007, Peoples R China.
C3 Beijing University of Technology; Army Engineering University of PLA
RP Wu, S (corresponding author), Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China.
EM wushan@bjut.edu.cn
RI WU, SHAN/KGM-5484-2024
FU National Natural Science Foundation of China (NSFC) [51978023]; Science
   and Technology Planning Project of Beijing Municipal Education
   Commission [KM202010005031]
FX Acknowledgement This research work was supported by the National Natural
   Science Foundation of China (NSFC) (Grant No. 51978023) , the Science
   and Technology Planning Project of Beijing Municipal Education
   Commission (Grant No. KM202010005031) .
CR Adachi T, 2009, COMPUT-AIDED CIV INF, V24, P237, DOI 10.1111/j.1467-8667.2008.00583.x
   Agathokleous A, 2017, WATER RESOUR MANAG, V31, P4007, DOI 10.1007/s11269-017-1721-7
   Ala, 2001, SEISM FRAG FORM WA 1
   Ataoui R, 2015, PROCEDIA ENGINEER, V119, P1192, DOI 10.1016/j.proeng.2015.08.972
   Aydin NY, 2014, WATER RESOUR MANAG, V28, P4373, DOI 10.1007/s11269-014-0757-1
   Bragalli C, 2012, OPTIM ENG, V13, P219, DOI 10.1007/s11081-011-9141-7
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Choi J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083492
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001433
   Cnsa, 2020, CHINESE SEISMIC INTE
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   EPA, 2007, EFF DIS RES DISTR SY
   Farmani R, 2006, J HYDROINFORM, V8, P165, DOI 10.2166/hydro.2006.019b
   FEMA, 2012, FEMA Administrative Investigations Policy
   Giudicianni C, 2021, WATER RESOUR MANAG, V35, P1197, DOI 10.1007/s11269-021-02773-y
   Giudicianni C, 2018, WATER-SUI, V10, DOI 10.3390/w10040444
   Goltz J.D., 1994, 940005 NCEER
   GORCHEV HG, 1984, WHO CHRON, V38, P104
   Hamamoto S, 2021, WATER-SUI, V13, DOI 10.3390/w13040572
   Han Z, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030914
   Hatam F, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001256
   Hou BW, 2024, STRUCT INFRASTRUCT E, V20, P498, DOI 10.1080/15732479.2022.2111445
   Hou BW, 2021, WATER-SUI, V13, DOI 10.3390/w13172362
   Isoyama R, 2000, WATER SUPP, V18, P63
   JWWA, 1998, SEISM DAM PRED WAT S
   JWWA, 2011, REP WAT FAC DAM GREA
   Kang D, 2012, J WATER RES PLAN MAN, V138, P208, DOI 10.1061/(ASCE)WR.1943-5452.0000165
   Klise KA, 2017, ENVIRON MODELL SOFTW, V95, P420, DOI 10.1016/j.envsoft.2017.06.022
   Kuraoka S, 1996, CAN J CIVIL ENG, V23, P665, DOI 10.1139/l96-882
   Liu S., 2013, Investigation Report on Seismic Hazards and Earthquake Relief of Urban Water Supply Systems in the Wenchuan Earthquake
   Liu W, 2020, RELIAB ENG SYST SAFE, V203, DOI 10.1016/j.ress.2020.107088
   Meijer D, 2021, STRUCT INFRASTRUCT E, V17, P347, DOI 10.1080/15732479.2020.1751664
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   Paez D, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001239
   Pagano A, 2022, WATER RESOUR MANAG, V36, P5091, DOI 10.1007/s11269-022-03293-z
   Pagano A, 2019, WATER RESOUR MANAG, V33, P2925, DOI 10.1007/s11269-019-02276-x
   Romero N, 2010, J EARTHQ ENG, V14, P1022, DOI 10.1080/13632460903527989
   Rossman L., 2020, EPANET 2.2 User Manual
   ROSSMAN LA, 1993, J WATER RES PL-ASCE, V119, P505, DOI 10.1061/(ASCE)0733-9496(1993)119:5(505)
   Rossman LA, 1996, J WATER RES PL-ASCE, V122, P137, DOI 10.1061/(ASCE)0733-9496(1996)122:2(137)
   ROSSMAN LA, 1994, J ENVIRON ENG-ASCE, V120, P803, DOI 10.1061/(ASCE)0733-9372(1994)120:4(803)
   Shi P., 2008, MCEER080016
   Shinozuka M., 1995, The Hanshin-Awaji earthquake of January 17, 1995: performance of lifelines
   Singh R.R., 2022, Resilient Cities and Structures, V1, P1, DOI [10.1016/j.rcns.2022.06.001, DOI 10.1016/J.RCNS.2022.06.001]
   Song ZY, 2022, INT J DISAST RISK RE, V74, DOI 10.1016/j.ijdrr.2022.102934
   Tabucchi T., 2008, MCEER080008
   Todini E., 2000, Urban Water, V2, P115, DOI [10.1016/S1462-0758, DOI 10.1016/S1462-0758, 10.1016/S1462-0758(00)00049-2, DOI 10.1016/S1462-0758(00)00049-2, 10.1016/s1462-0758(00)00049-2]
   WAGNER JM, 1988, J WATER RES PL-ASCE, V114, P276, DOI 10.1061/(ASCE)0733-9496(1988)114:3(276)
   Xin KL, 2012, FRONT ENV SCI ENG, V6, P839, DOI 10.1007/s11783-012-0409-8
   Yang J, 2011, J WATER HEALTH, V9, P291, DOI 10.2166/wh.2011.102
   Yazdani A, 2012, J WATER RES PLAN MAN, V138, P153, DOI 10.1061/(ASCE)WR.1943-5452.0000159
   Zhang QZ, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001164
   Zhuang BY, 2009, 2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL II, PROCEEDINGS, P473, DOI 10.1109/ESIAT.2009.237
NR 53
TC 7
Z9 7
U1 19
U2 66
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD JUL
PY 2023
VL 93
AR 103756
DI 10.1016/j.ijdrr.2023.103756
EA MAY 2023
PG 18
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA J6XV9
UT WOS:001011039500001
DA 2025-04-22
ER

PT J
AU De Iuliis, M
   Cardoni, A
   Cimellaro, GP
AF De Iuliis, Melissa
   Cardoni, Alessandro
   Cimellaro, Gian Paolo
TI Resilience and safety of civil engineering systems and communities: A
   bibliometric analysis for mapping the state-of-the-art
SO SAFETY SCIENCE
LA English
DT Article
DE Resilience; Review; Bibliometric analysis; Bibliometric visualization;
   Civil engineering; Co -authorship analysis
ID SEISMIC RESILIENCE; CRITICAL INFRASTRUCTURE; RISK; FRAMEWORK; MODEL
AB The interest in the concept of resilience has been growing consistently over the past few years to study the functionality and behavior of systems against natural and man-made hazards. Yet a comprehensive, updated review of methods and frameworks to assess and improve the resilience and safety of civil engineering systems and communities is lacking. In this paper, a bibliometric and visualization method is implemented to explore the status of resilience research in civil engineering applications by analyzing journal papers published from 1996 to 2020. The concept of resilience and safety is investigated through eight subject categories identified by the authors in the literature: recovery time strategies and downtime, critical infrastructures, probabilistic approaches, fuzzy logic approaches, structural health monitoring, health care facilities, emergency management and decision-making, community and urban resilience. Results show that resilience research has increased rapidly since its introduction, most notably in the past seven years. The analysis identifies two main research approaches: frameworks and conceptual models, and case study based. The latter is the most adopted methodology by the analyzed works. In terms of geographical distribution, most of them have been carried out in the USA, the United Kingdom, China, and Italy. The authors' keywords analysis reveals that recovery strategies, critical infrastructures, vulnerability, and community resilience and safety have attracted prominent attention in the past decade. Finally, we conclude that further multidisciplinary research is needed to model multi-hazard scenarios and cascading effects, to collect data, and to define new performance metrics.
C1 [De Iuliis, Melissa] Sapienza Univ Rome, Dept Struct & Geotech Engn, Via Eudossiana 18, Rome, Italy.
   [Cardoni, Alessandro; Cimellaro, Gian Paolo] Politecn Torino, Dept Struct Geotech & Bldg Engn, Corso Duca Abruzzi 24, Turin, Italy.
C3 Sapienza University Rome; Polytechnic University of Turin
RP Cimellaro, GP (corresponding author), Politecn Torino, Dept Struct Geotech & Bldg Engn, Corso Duca Abruzzi 24, Turin, Italy.
EM melissa.deiuliis@uniroma1.it; alessandro.cardoni@polito.it;
   gianpaolo.cimellaro@polito.it
RI Cimellaro, Gian/AAJ-2511-2020; Cardoni, Alessandro/B-4122-2019; De
   Iuliis, Melissa/HNI-7534-2023
FU European Research Council [degrees ERC_IDEAL RESCUE_637842]
FX The research leading to these results has received funding from the
   European Research Council under the Grant Agreement n degrees ERC_IDEAL
   RESCUE_637842 of the project IDEAL RESCUE-Integrated Design and Control
   of Sustainable Communities during Emergencies.
CR Analiytics, 2022, Clarivate Analytics
   Annarelli A, 2016, OMEGA-INT J MANAGE S, V62, P1, DOI 10.1016/j.omega.2015.08.004
   Ayyub BM, 2015, ASCE-ASME J RISK U A, V1, DOI 10.1061/AJRUA6.0000826
   Bocchini P, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000177
   Bodoque JM, 2016, J HYDROL, V541, P665, DOI 10.1016/j.jhydrol.2016.02.005
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Cancino CA, 2017, COMPUT IND ENG, V113, P614, DOI 10.1016/j.cie.2017.08.033
   Cavalagli N, 2019, CONSTR BUILD MATER, V215, P998, DOI 10.1016/j.conbuildmat.2019.04.204
   Cerè G, 2017, INT J DISAST RISK RE, V25, P173, DOI 10.1016/j.ijdrr.2017.09.018
   Chang L, 2012, J INFRASTRUCT SYST, V18, P75, DOI 10.1061/(ASCE)IS.1943-555X.0000082
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cimellaro GP, 2010, STRUCT INFRASTRUCT E, V6, P127, DOI 10.1080/15732470802663847
   de Bellis N., 2009, BIBLIOMETRICS CITATI
   De Iuliis M., 2019, Resilient Structures and Infrastructure, P47, DOI [DOI 10.1007/978-981-13-7446-3_2, 10.1007/978-981-13-7446-3_2]
   De Iuliis M, 2019, INT J DISAST RISK RE, V34, P196, DOI 10.1016/j.ijdrr.2018.11.017
   Decò A, 2013, EARTHQ ENG STRUCT D, V42, P1469, DOI 10.1002/eqe.2282
   Dong Y, 2015, ENG STRUCT, V83, P198, DOI 10.1016/j.engstruct.2014.10.050
   Ellis LA, 2019, SAFETY SCI, V118, P241, DOI 10.1016/j.ssci.2019.04.044
   Elsaid A, 2014, CONSTR BUILD MATER, V50, P42, DOI 10.1016/j.conbuildmat.2013.08.079
   Farmani R, 2005, J WATER RES PLAN MAN, V131, P161, DOI 10.1061/(ASCE)0733-9496(2005)131:3(161)
   Fox P, 1996, J ENVIRON ENG-ASCE, V122, P18, DOI 10.1061/(ASCE)0733-9372(1996)122:1(18)
   Fraccascia L, 2018, COMPLEXITY, DOI 10.1155/2018/3421529
   Gall M, 2015, INT J DISAST RISK RE, V12, P255, DOI 10.1016/j.ijdrr.2015.01.010
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Guidotti R, 2016, SUSTAIN RESIL INFRAS, V1, P153, DOI 10.1080/23789689.2016.1254999
   Hardy DK, 2016, MATER STRUCT, V49, P5327, DOI 10.1617/s11527-016-0863-z
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hollnagel E., 2006, Resilience Engineering: Concepts and Precepts
   Hosseini S, 2016, INT J PROD ECON, V180, P68, DOI 10.1016/j.ijpe.2016.07.007
   John A, 2016, OCEAN ENG, V111, P136, DOI 10.1016/j.oceaneng.2015.10.048
   Kammouh O, 2018, EARTHQ ENG ENG VIB, V17, P261, DOI 10.1007/s11803-018-0440-2
   Lee AV, 2013, NAT HAZARDS REV, V14, P29, DOI 10.1061/(ASCE)NH.1527-6996.0000075
   Leveson N., 2006, RESILIENCE ENG CONCE, P95, DOI 10.1201/9781315605685-12
   Leydesdorff L, 2006, J AM SOC INF SCI TEC, V57, P1616, DOI 10.1002/asi.20335
   Li RYM, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.977887
   Li Y, 2023, DEV BUILT ENVIRON, V14, DOI 10.1016/j.dibe.2023.100149
   Liu JJW, 2017, PERS INDIV DIFFER, V111, P111, DOI 10.1016/j.paid.2017.02.007
   Lomas KJ, 2012, BUILD ENVIRON, V55, P57, DOI 10.1016/j.buildenv.2011.12.006
   Lomas KJ, 2009, ENERG BUILDINGS, V41, P629, DOI 10.1016/j.enbuild.2009.01.001
   Lounis Z, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001545
   Luo FS, 2022, SAFETY SCI, V145, DOI 10.1016/j.ssci.2021.105519
   Maluccio AN, 2002, AM J ORTHOPSYCHIAT, V72, P596, DOI 10.1037/0002-9432.72.4.596
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Masten A.S., 1990, Development Psychopathology, V2, P425, DOI [10.1017/S0954579400005812, DOI 10.1017/S0954579400005812]
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miles SB, 2006, EARTHQ SPECTRA, V22, P439, DOI 10.1193/1.2192847
   Naser MZ, 2018, AUTOMAT CONSTR, V90, P253, DOI 10.1016/j.autcon.2018.03.004
   Ouyang M, 2014, STRUCT SAF, V48, P15, DOI 10.1016/j.strusafe.2014.01.001
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Pilkington A, 2009, J OPER MANAG, V27, P185, DOI 10.1016/j.jom.2008.08.001
   Pinto M, 2014, SCIENTOMETRICS, V98, P2311, DOI 10.1007/s11192-013-1166-6
   Prasad TD, 2004, J WATER RES PLAN MAN, V130, P73, DOI 10.1061/(ASCE)0733-9496(2004)130:1(73)
   Renschler CS., 2010, A framework for defining and measuring resilience at the community scale: The PEOPLES resilience framework
   Reuters T, 2012, Social sciences citation index
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Safavi HR, 2015, J HYDROL, V528, P773, DOI 10.1016/j.jhydrol.2015.07.014
   Sajedi SO, 2020, STRUCT CONTROL HLTH, V27, DOI 10.1002/stc.2488
   Santamaria-Ariza M, 2023, INT J DISAST RISK RE, V97, DOI 10.1016/j.ijdrr.2023.104063
   Sheffi Y, 2005, MIT SLOAN MANAGE REV, V47, P41
   Sirsant S, 2023, WATER-SUI, V15, DOI 10.3390/w15050986
   Tesfamariam S, 2008, EARTHQ SPECTRA, V24, P795, DOI 10.1193/1.2952767
   Tian W, 2011, AUTOMAT CONSTR, V20, P1096, DOI 10.1016/j.autcon.2011.04.011
   Van Eck N J., 2018, VOSviewer Manual, V1st, P1, DOI DOI 10.3402/JAC.V8.30072
   van Nunen K, 2018, SAFETY SCI, V108, P248, DOI 10.1016/j.ssci.2017.08.011
   Wagner Iwona, 2013, Ecohydrology & Hydrobiology, V13, P113, DOI 10.1016/j.ecohyd.2013.06.002
   World Economic Forum, 2023, GLOB RISKS REP 2023
   Yang ZY, 2023, SAFETY SCI, V160, DOI 10.1016/j.ssci.2022.106049
   Yodo N, 2016, J MECH DESIGN, V138, DOI 10.1115/1.4032399
   Yu Y, 2023, ENVIRON SCI POLLUT R, V30, P21797, DOI 10.1007/s11356-022-23768-1
   Zanuttigh B, 2014, COAST ENG, V87, P218, DOI 10.1016/j.coastaleng.2013.11.013
   Zeng LY, 2022, SAFETY SCI, V152, DOI 10.1016/j.ssci.2022.105790
   Zhang YF, 2018, RESILIENCE ENGINEERING FOR URBAN TUNNELS, P3
NR 76
TC 4
Z9 4
U1 15
U2 45
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0925-7535
EI 1879-1042
J9 SAFETY SCI
JI Saf. Sci.
PD JUN
PY 2024
VL 174
AR 106470
DI 10.1016/j.ssci.2024.106470
EA FEB 2024
PG 18
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA NJ8T2
UT WOS:001200184400001
OA hybrid
DA 2025-04-22
ER

PT J
AU Rodriguez, M
   Fu, GT
   Butler, D
   Yuan, ZG
   Cook, L
AF Rodriguez, Mayra
   Fu, Guangtao
   Butler, David
   Yuan, Zhiguo
   Cook, Lauren
TI The effect of green infrastructure on resilience performance in combined
   sewer systems under climate change
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; Combined sewer overflow; Global resilience analysis;
   Resilience; Top -down approach
ID WATER MANAGEMENT; IMPACT; FRAMEWORK; DESIGN; SAFE
AB Climate change is currently reshaping precipitation patterns, intensifying extremes, and altering runoff dynamics. Particularly susceptible to these impacts are combined sewer systems (CSS), which convey both stormwater and wastewater and can lead to combined sewer overflow (CSO) discharges during heavy rainfall. Green infrastructure (GI) can help mitigate these discharges and enhance system resilience under historical conditions; however, the quantification of its effect on resilience in a future climate remains unknown in the literature. This study employs a modified Global Resilience Analysis (GRA) framework for continuous simulation to quantify the impact of climate change on CSS resilience, particularly CSOs. The study assesses the efficacy of GI interventions (green roofs, permeable pavements, and bioretention cells) under diverse future rainfall scenarios based on EURO-CORDEX regional climate models (2085-2099) and three Representative Concentration Pathways (2.6, 4.5, 8.5 W/m2). The findings underscore a general decline in resilience indices across the future rainfall scenarios considered. Notably, the total yearly CSO discharge volume increases by a range of 145 % to 256 % in response to different rainfall scenarios. While GI proves effective in increasing resilience, it falls short of offsetting the impacts of climate change. Among the GI options assessed, green roofs routed to pervious areas exhibit the highest adaptive capacity, ranging from 9 % to 22 % at a system level, followed by permeable pavements with an adaptation capacity between 7 and 13 %. By linking the effects of future rainfall scenarios on CSO performance, this study contributes to understanding GI's potential as a strategic tool for enhancing urban resilience.
C1 [Rodriguez, Mayra; Fu, Guangtao; Butler, David] Univ Exeter, Ctr Water Syst, Exeter, England.
   [Rodriguez, Mayra; Cook, Lauren] Swiss Fed Inst Aquat Sci & Technol, Dept Urban Water Management, Dubendorf, Switzerland.
   [Yuan, Zhiguo] City Univ Hong Kong, Hong Kong, Peoples R China.
C3 University of Exeter; Swiss Federal Institutes of Technology Domain;
   Swiss Federal Institute of Aquatic Science & Technology (EAWAG); City
   University of Hong Kong
RP Cook, L (corresponding author), Swiss Fed Inst Aquat Sci & Technol, Dept Urban Water Management, Dubendorf, Switzerland.
EM lauren.cook@eawag.ch
RI Fu, Guangtao/ABE-3874-2021; Butler, David/I-2991-2012; yuan,
   zhiguo/C-4980-2013
OI Cook, Lauren/0000-0001-7790-1294; Rodriguez, Mayra/0000-0002-0936-4201;
   Butler, David/0000-0001-5515-3416; yuan, zhiguo/0000-0002-7566-1482
FU QUEX Institute; Urban Water Management Department at Eawag; Australian
   Centre for Water and Environmental Biotechnology at the University of
   Queensland (Australia)
FX This research was funded by the QUEX Institute and the Urban Water
   Management Department at Eawag. We acknowledge the Australian Centre for
   Water and Environmental Biotechnology at the University of Queensland
   (Australia) for their support during this study. In particular, we would
   like to thank Prof. Max Maurer at the Urban Water Management Department
   at Eawag. The authors would like to thank the Urban Water Observatory
   team at Eawag for providing the SWMM model, meteorological data and flow
   data of Fehraltorf. We would also like to thank the CSCS cluster and
   Stuart Dennis at Eawag for their help with parallel computing, and
   Patrick Stettler who helped in the processing the future rainfall data.
CR Abdellatif M, 2015, HYDROLOG SCI J, V60, P636, DOI 10.1080/02626667.2014.912755
   Alexander LV, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab51b6
   Anaraki MV, 2023, J WATER CLIM CHANGE, V14, P3671, DOI 10.2166/wcc.2023.477
   Anaraki MV, 2021, WATER RESOUR MANAG, V35, P199, DOI 10.1007/s11269-020-02719-w
   [Anonymous], 2011, A Framework for Assessing Title - Which Can Be Fairly Resilience in SoE 2011 Reporting
   Bates BC., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Benestad R., 2021, GUIDANCE EURO CORDEX, P1
   Berger R, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P22
   Blumensaat F., 2023, Preprints
   Browder G., 2019, Integrating Green and Gray: Creating Next Generation Infrastructure, DOI [10.46830/wrirpt.18.00028, DOI 10.46830/WRIRPT.18.00028]
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Cook LM, 2021, SUSTAIN RESIL INFRAS, V6, P156, DOI 10.1080/23789689.2019.1681819
   Cook LM, 2020, CLIMATIC CHANGE, V159, P289, DOI 10.1007/s10584-019-02649-6
   Cook LM, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000382
   Di Sante F, 2021, INT J CLIMATOL, V41, P3203, DOI 10.1002/joc.7014
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Environment Agency, 2022, Department for environment, F.& R.A. Improved monitoring of sewage spills to drive enhanced environmental protection and enforcement - GOV
   Esri H.E.R.E., 2017, NOAA, USGS, OpenStreetMap contributors, GIS User Commnuity
   EURO-CORDEX, 2021, Euro Cordex about EURO
   European Commission, 2000, European Framework Directive, Directive 2000/60/EC
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischbach Jordan R., 2017, RR-1673-MCF, DOI [10.7249/RR1673, DOI 10.7249/RR1673]
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Hadengue B, 2021, WATER RES, V204, DOI 10.1016/j.watres.2021.117552
   Hausfather Z., 2020, Carbon Brief
   Hausfather Zeke., 2019, Explainer: The High-emissions RCP8.5 Global Warming Scenario
   Hochrainer-Stigler S, 2020, J ENVIRON MANAGE, V276, DOI 10.1016/j.jenvman.2020.111332
   Hollnagel E., 2015, RAG - Resilience Analysis Grid
   Hollnagel E., 2014, Resilience Engineering in Practice: Becoming Resilient
   Hollnagel E, 2014, BUILD RES INF, V42, P221, DOI 10.1080/09613218.2014.862607
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Joshi P, 2021, WATER RES, V191, DOI 10.1016/j.watres.2020.116780
   Kamali B, 2022, RELIAB ENG SYST SAFE, V218, DOI 10.1016/j.ress.2021.108201
   Keller C., 2016, Understanding the urban drainage system of Fehraltorf Enhancing the reliability of Fehraltorf's SWMM model through calibration
   Kim K, 2022, WATER SUPPLY, V22, P75, DOI 10.2166/ws.2021.285
   Knutti R., 2010, IPCC EXPERT M ASSESS
   Kreienkamp F., 2012, Environmental Systems Research, V1, P9, DOI DOI 10.1186/2193-2697-1-9
   Lakshmanan V., 2015, P 4 INT WORKSH CLIM, DOI [10.1007/978-3-319-17220-0, DOI 10.1007/978-3-319-17220-0]
   Mailhot A, 2015, J HYDROL, V523, P602, DOI 10.1016/j.jhydrol.2015.01.063
   Matsler M, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104145
   McDonnell Bryant E, 2020, J Open Source Softw, V5, P1, DOI 10.21105/joss.02292
   Mendlik T, 2016, CLIMATIC CHANGE, V135, P381, DOI 10.1007/s10584-015-1582-0
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   MeteoSwiss, 2022, Historic measured meteorological data
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   NIAC, 2009, NIAC Critical Infrastructure Resilience: Final Report and Recommendations
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Office C, 2011, Keeping the Country Running: Natural Hazards and Infrastructure Summary of Consultation Responses
   Ramgraber M, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR029339
   Rodriguez M., 2022, PhD Thesis
   Rodriguez M, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118607
   Rodriguez M, 2021, WATER-SUI, V13, DOI 10.3390/w13131789
   Roseboro A, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.725174
   Rossman L., 2015, Storm Water Management Model User's Manual Version 5.1 353
   Rossman LA, 2016, Water Quality
   Scikit-Learn Developers, 2011, 3.1. Cross-validation: evaluating estimator performance
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Sweetapple C, 2022, WATER RES, V211, DOI 10.1016/j.watres.2022.118108
   Sweetapple C, 2018, WATER SCI TECHNOL, V77, P1757, DOI 10.2166/wst.2018.070
   Swiss National Supercomputing Centre, 2022, Piz Daint & Piz Dora | CSCS
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   UK Government, 2021, Environment Act 2021
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P373, DOI 10.1007/s10584-013-0906-1
   Vautard R, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2019JD032344
   Wang MM, 2019, J ENVIRON MANAGE, V238, P59, DOI 10.1016/j.jenvman.2019.02.129
   Wang MM, 2017, J ENVIRON MANAGE, V201, P145, DOI 10.1016/j.jenvman.2017.06.034
   Wang M, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104436
   Wang M, 2019, J ENVIRON MANAGE, V243, P157, DOI 10.1016/j.jenvman.2019.05.012
   Webber JL, 2020, URBAN WATER J, V17, P598, DOI 10.1080/1573062X.2019.1700286
   Webber JL, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10110726
   Zhang K, 2018, J HYDROL, V566, P313, DOI 10.1016/j.jhydrol.2018.09.006
NR 76
TC 12
Z9 12
U1 13
U2 43
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD FEB 27
PY 2024
VL 353
AR 120229
DI 10.1016/j.jenvman.2024.120229
EA FEB 2024
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA JZ7L2
UT WOS:001177044000001
PM 38310790
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Miller, ZJ
   O'Brien, C
   Canfield, C
   Sullivan, L
AF Miller, Zachary J.
   O'Brien, Caleb
   Canfield, Casey
   Sullivan, Lauren
TI Show-Me Resilience: Assessing and Reconciling Rural Leaders' Perceptions
   of Climate Resilience in Missouri
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Rural resilience; Social-ecological systems;
   Community capitals; NOAA steps to resilience; Climate vulnerability
ID CHANGE ADAPTATION; DECISION-MAKING; MITIGATION; BARRIERS; GUIDE; RISK
AB Rural areas of the United States play a vital role in coping with, adapting to and mitigating climate change, yet they often lag urban areas in climate planning and action. Rural leaders-e.g., policymakers, state/federal agency professionals, non-profit organization leadership, and scholars - are pivotal for driving the programs and policies that support resilient practices, but our understanding of their perspectives on climate resilience writ large is limited. We conducted semi-structured interviews with 23 rural leaders in Missouri to elucidate their conceptualizations of climate resilience and identify catalysts and constraints for climate adaptation planning and action across rural landscapes. We investigated participants' perceptions of the major vulnerabilities of rural communities and landscapes, threats to rural areas, and potential steps for making rural Missouri more resilient in the face of climate change. We found that most rural leaders conceptualized climate resilience as responding to hazardous events rather than anticipating or planning for hazardous trends. The predominant threats identified were flooding and drought, which aligns with climate projections for the Midwest. Participants proposed a wide variety of specific steps to enhance resilience but had the highest agreement about the utility of expanding existing programs. The most comprehensive suite of solutions was offered by participants who conceptualized resilience as involving social, ecological, and economic systems, underscoring the importance of broad thinking for developing more holistic solutions to climate-associated threats and the potential impact of greater collaboration across domains. We highlight and discuss a Missouri-based levee setback project that was identified by participants as a showcase of collaborative resilience-building.
C1 [Miller, Zachary J.; Sullivan, Lauren] Univ Missouri, Columbia, MO 65211 USA.
   [Miller, Zachary J.] Nature Conservancy, Columbia, MO 65201 USA.
   [O'Brien, Caleb] Virginia Tech, Blacksburg, VA 24061 USA.
   [Canfield, Casey] Missouri Univ Sci & Technol, Rolla, MO USA.
   [Sullivan, Lauren] Michigan State Univ, Dept Plant Biol, E Lansing, MI USA.
   [Sullivan, Lauren] Michigan State Univ, W K Kellogg Biol Stn, Hickory Corners, E Lansing, MI USA.
   [Sullivan, Lauren] Michigan State Univ, Ecol Evolut & Behav Program, E Lansing, MI USA.
C3 University of Missouri System; University of Missouri Columbia; Virginia
   Polytechnic Institute & State University; University of Missouri System;
   Missouri University of Science & Technology; Michigan State University;
   Michigan State University; Michigan State University
RP Miller, ZJ (corresponding author), Univ Missouri, Columbia, MO 65211 USA.; Miller, ZJ (corresponding author), Nature Conservancy, Columbia, MO 65201 USA.; O'Brien, C (corresponding author), Virginia Tech, Blacksburg, VA 24061 USA.
EM zack.miller@tnc.org; calebo@vt.edu
RI Canfield, Casey/J-2707-2019
OI O'Brien, Caleb/0000-0003-1173-9524
FU National Science Foundation
FX The authors express gratitude to all the interviewees for participating
   in the project and to Gaurav Kandlikar for helping with coding and
   visualizations. ZM thanks MOST Policy Initiative for providing support,
   and Josh Mueller for input and guidance. Lastly, ZM expresses deep
   gratitude to Jeanne Heuser for being a wealth of knowledge, a source of
   inspiration, and an incessant force for change in rural Missouri. This
   is Kellogg Biological Station Contribution no. 2348. ZM was supported by
   the Graduate Research Fellowship and Graduate Research Internship
   Program through the National Science Foundation. Lastly, the authors
   thank the two anonymous reviewers whose incisive feedback vastly
   improved this manuscript.Author ContributionsZM & COB conceptualized the
   project with input and guidance from CC & LLS. ZM conducted all the
   interviews and developed the figures, COB crafted the tables, and ZM &
   COB jointly coded participants' responses, analyzed data, and wrote the
   manuscript. All authors contributed to manuscript editing.
CR Aderonmu Abigail, 2021, International Journal of Climate Change: Impacts and Responses, V13, P53, DOI 10.18848/1835-7156/CGP/v13i01/53-64
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Barkley DL, 2004, REG EC DEV RES LAB, V630-2016-41390, P1
   Iza CLB, 2020, J AGRIBUS DEV EMERG, V10, P13, DOI 10.1108/JADEE-12-2018-0182
   Bauer Mark S, 2015, BMC Psychol, V3, P32, DOI 10.1186/s40359-015-0089-9
   Bausch T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051894
   Benson VW., 2008, U MISSOURI FOOD FOOD, V31, P1
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Bernard H. R., 1995, Research Methods in Anthropology: Qualitative and Quantitative Approaches
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Byun K, 2019, SCI TOTAL ENVIRON, V650, P1261, DOI 10.1016/j.scitotenv.2018.09.063
   Chatrchyan AM, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.469
   Coleman K, 2018, SOC NATUR RESOUR, V31, P21, DOI 10.1080/08941920.2017.1364452
   Coleman R, 2024, COMMUN RES, V51, P392, DOI 10.1177/00936502221084925
   Cox RS, 2015, AM BEHAV SCI, V59, P220, DOI 10.1177/0002764214550297
   Dahl T.A., 2017, Overview of levee setback projects and Benefits
   Daniell KA, 2011, REG ENVIRON CHANGE, V11, P243, DOI 10.1007/s10113-010-0162-0
   Dierauer J, 2012, J HYDROL, V450, P1, DOI 10.1016/j.jhydrol.2012.05.044
   Emery M., 2006, 400 PRACTICRE, V13, P1
   FAO, 2018, RES IND MEAS AN 2 RI, P2016
   Farmer J, 2012, SOC SCI MED, V75, P1903, DOI 10.1016/j.socscimed.2012.06.035
   Fields C. B., 2012, INTERGOVERNMENTAL PA
   Fisichelli NA, 2016, ENVIRON MANAGE, V57, P753, DOI 10.1007/s00267-015-0650-6
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Fuller R, 2015, MEASURING RESILIENCE, P1
   Garner AJ, 2017, P NATL ACAD SCI USA, V114, P11861, DOI 10.1073/pnas.1703568114
   Gimpel JG, 2020, POLIT BEHAV, V42, P1343, DOI 10.1007/s11109-020-09601-w
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Handmer J., 1996, Organization Environment, V9, P482, DOI [10.1177/108602669600900403, DOI 10.1177/108602669600900403]
   Hatch CJ., 2018, J EXT, V56, P24
   Hershon B, 2020, THESIS BRAND U
   Hill CE, 1997, COUNS PSYCHOL, V25, P517, DOI 10.1177/0011000097254001
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Horney J, 2017, J PLAN EDUC RES, V37, P56, DOI 10.1177/0739456X16628605
   Howe PD, 2015, NAT CLIM CHANGE, V5, P596, DOI 10.1038/nclimate2583
   Hynes W., 2020, Systemic Thinking for Policy Making: The Potential of Systems Analysis for Addressing Global Policy Challenges in the 21st Century, New Approaches to Economic Challenges, DOI DOI 10.1787/879C4F7A-EN
   Javadinejad S., 2019, HDB CLIMATE CHANGE R, P1, DOI [10.1007/978-3-319-71025-9_189-1, DOI 10.1007/978-3-319-71025-9_189-1]
   Kais SM, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13121211
   Knox S., 2014, Quantitative and Qualitative Methods in Psychotherapy Research, P342, DOI DOI 10.4324/9780203386071-21
   Kunkel KE  ..., 2013, NOAA Technical Report NESDIS 142-5
   Lamb WF, 2019, NAT CLIM CHANGE, V9, P279, DOI 10.1038/s41558-019-0440-x
   Lamb Z., 2020, LOUISIANAS RESPONSE
   Lyle G, 2015, J RURAL STUD, V37, P38, DOI 10.1016/j.jrurstud.2014.10.004
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Mason L. R., 2021, Journal of Policy Practice and Research, V2, P258, DOI [https://doi.org/10.1007/s42972-021-00038-x, DOI 10.1007/S42972-021-00038-X]
   Mayunga J.S., 2007, SUMMER ACAD SOCIAL V, V1, P1, DOI DOI 10.1146/ANNUREV.ENERGY.32.051807.090348
   Meerow S, 2020, J AM PLANN ASSOC, V86, P39, DOI 10.1080/01944363.2019.1652108
   Meerow S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Neri A, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2019.124314
   NOAA, 2022, US CLIM RES TOOLK ST
   Olson-Hazboun SK, 2018, ADDRESSING CLIMATE C
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Otto-Banaszak I, 2011, REG ENVIRON CHANGE, V11, P217, DOI 10.1007/s10113-010-0144-2
   Oulahen G, 2019, CLIMATIC CHANGE, V153, P41, DOI 10.1007/s10584-019-02386-w
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P459, DOI 10.1007/s10584-019-02445-2
   Patton M., 1990, Qualitative research and evaluation methods, V2
   Pauley SP., 2022, CONSERV SCI PR, V4, P1
   Payne PR, 2021, ECOL SOC, V26, DOI 10.5751/ES-12026-260102
   Pepermans Y, 2016, WIRES CLIM CHANGE, V7, P478, DOI 10.1002/wcc.405
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   Pryor SaraC., 2014, Midwest. Climate change impacts in the United States: The third national climate assessment
   RStudio Team, 2021, RSTUDIO INT DEV ENV
   Serfilippi E, 2018, ANN PUBLIC COOP ECON, V89, P645, DOI 10.1111/apce.12202
   Sharifi A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103190
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Sketch M, 2020, RANGELAND ECOL MANAG, V73, P285, DOI 10.1016/j.rama.2019.12.003
   Smith D L., 2017, Levee setbacks: An innovative, costeffective, and sustainable solution for improved flood risk management
   Spires M, 2014, CLIM DEV, V6, P277, DOI 10.1080/17565529.2014.886995
   Stern MJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07248-200214
   Strauss AL, 1990, BASICS QUALITATIVE R
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Swanson BE., 2008, GLOBAL REV GOOD AGR, V16, P82345, DOI DOI 10.1080/1389224X.2010.489775
   Sweet WV., 2017, Global and regional sea level rise scenarios for the United States Report NOS CO-OPS 083, P75
   Swyngedouw, 2003, ACME INT E J CRIT GE, V12, P1
   Tamsan H., 2022, Uncertain Supply Chain Manag, V10, P625, DOI DOI 10.5267/J.USCM.2021.11.003
   US Census Bureau, 2022, United States Census Bureau
   Weiskopf SR, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.137782
   Wenger E., 2006, COMMUNITIES PRACTICE
   Williams M., 2019, INT MANAGEMENT REV, V15, P45, DOI DOI 10.1192/PB.38.2.86B
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
   Young JC, 2018, METHODS ECOL EVOL, V9, P10, DOI 10.1111/2041-210X.12828
NR 86
TC 1
Z9 1
U1 12
U2 29
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD OCT
PY 2023
VL 72
IS 4
BP 771
EP 784
DI 10.1007/s00267-023-01836-7
EA MAY 2023
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA Q7IG5
UT WOS:000997982100001
PM 37253850
DA 2025-04-22
ER

PT J
AU Doeffinger, T
   Rubinyi, S
AF Doeffinger, Tess
   Rubinyi, Steven
TI Secondary benefits of urban flood protection
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Review
DE Flood protection; Secondary benefits; Co-benefits; Triple dividend of
   resilience; Cost-benefit analysis
AB The combined effects of urbanization and climate change put a large portion of the population at risk from pluvial, fluvial, and coastal flooding. To continue to strive for sustainable development, cities will need to protect flood-prone areas, but this will require significant investments in both green and grey infrastructure solutions. Yet, a significant financing gap will need to be bridged to increase cities' resilience. The decision as to which flood protection intervention to finance typically includes an analysis of primary costs (construction) and benefits (averted damages). However, an array of potential secondary benefits occur with increased flood protection that are often not assessed, such as increased well-being and ecosystem health. This review provides a timely over-view of the secondary benefits of urban flood protection, a brief analysis of whether they have been included in cost-benefit analyses for investments in urban flood protection projects, and a discussion of methodological concerns. Of the twenty projects reviewed, fourteen make mention of secondary benefits, yet only four quantify them in their analysis. Advances in evaluation methodologies may reduce quantification challenges, but a move away from traditional cost-benefit analysis may be necessary to incorporate a full range of secondary benefits. Ultimately, we argue that a more thorough understanding of the secondary benefits of urban flood protection and their quantification methods could unlock additional financing for flood protection infrastructure, especially in urban centers of developing countries.
C1 [Doeffinger, Tess] Univ Delaware, Disaster Res Ctr, Acad St, Newark, DE 19716 USA.
   [Doeffinger, Tess; Rubinyi, Steven] World Bank, Urban Disaster Risk Management Resilience & Land G, Washington, DC USA.
   [Rubinyi, Steven] Univ Oxford, Environm Change Inst, South Parks Rd, Oxford OX1 3QY, England.
C3 University of Delaware; The World Bank; University of Oxford
RP Doeffinger, T (corresponding author), Univ Delaware, Disaster Res Ctr, Acad St, Newark, DE 19716 USA.
EM tdoe@udel.edu
OI Doeffinger, Tess/0000-0003-4861-9665
FU City Resilience Program (CRP); Global Facility for Disaster Reduction
   and Recovery (GFDRR)
FX The authors thank Jun Rentschler for their valuable insights and
   critical discussions. The study was funded by the City Resilience
   Program (CRP) , a partnership between the World Bank and the Global
   Facility for Disaster Reduction and Recovery (GFDRR) . The findings and
   conclusions contained within are those of the authors and do not
   necessarily reflect positions or policies of the CRP, GFDRR, or the
   World Bank.
CR ADB, 2012, COMPL REP SAM SAN DR
   ADB, 2021, PROP LOAN IND INT UR
   ADB, 1991, REP REC PRES BOARD D
   Ajibade I, 2022, GLOBAL ENVIRON CHANG, V76, DOI 10.1016/j.gloenvcha.2022.102576
   Alongi DM, 2012, CARBON MANAG, V3, P313, DOI [10.4155/cmt.12.20, 10.4155/CMT.12.20]
   Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   [Anonymous], 2010, Guidelines for Preparing Economic Analyses EPA 240-R-10-001
   [Anonymous], 2010, Cost Benefit Analysis in World Bank Projects
   [Anonymous], 2006, Project Appraisal Document for a PBS Project, P20
   [Anonymous], 2015, Board of directors and number of directors: (1) The appointment and number of directors of a private company shall be as provided in its articles of association
   [Anonymous], 1983, EC ENV PRINC GUID WA
   Araos M, 2021, ONE EARTH, V4, P1454, DOI 10.1016/j.oneear.2021.09.001
   Avner P., 2022, EC DISAST CLIM CHANG, DOI [10.1007/s41885-022-00117-7, DOI 10.1007/S41885-022-00117-7]
   Beltrán A, 2018, RISK ANAL, V38, P2340, DOI 10.1111/risa.13136
   Bos Frits., 2017, COST BENEFIT ANAL FL
   CEQ (Council on Environmental Quality), 2013, PRINC REQ FED INV WA
   Chu EK, 2021, CURR OPIN ENV SUST, V51, P85, DOI 10.1016/j.cosust.2021.02.009
   City Resilience Program, 2018, LAND VAL CAPT
   Clark J.M., 1952, REPORT PANEL CONSULT
   Climate-ADAPT, 2017, CATCHM MAN APPR FLAS
   Climate-ADAPT, 2016, PUBLIC PRIVATE PARTN
   Coates JC, 2015, YALE LAW J, V124, P882
   de Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   Di Baldassarre G, 2013, HYDROL EARTH SYST SC, V17, P3235, DOI 10.5194/hess-17-3235-2013
   Di Baldassarre G., 2017, EARTH SYST DYNAM, P1, DOI [10.5194/esd-2016-65, DOI 10.5194/ESD-2016-65]
   DI BALDASSARRE Giuliano., 2017, Advances in Geosciences, V44, P9, DOI DOI 10.5194/ADGEO-44-9-2017
   Duque JC, 2019, LANDSCAPE URBAN PLAN, V191, DOI 10.1016/j.landurbplan.2019.103640
   Durand E, 2020, FLOODRISK 2020 4 C F
   Dyca B, 2020, ENVIRON SCI POLICY, V114, P312, DOI 10.1016/j.envsci.2020.08.017
   Eastern Research Group Inc, 2015, GUID ASS GREEN INFR
   Eckstein O., 1958, Water Resource Development and the Economics of Project Evaluation
   European Union, 2015, Guide to Cost Benefit Analysis of Investment Projects: Economic appraisal tool for Cohesion Policy 2014-2020
   Ferdous MR, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01600-1
   Flood Control Act, 1936, 74 C
   Fung JF, 2021, ECON SYST RES, V33, P336, DOI 10.1080/09535314.2020.1798359
   Gandhi S, 2022, NBER WORKING PAPER S
   Graham J.D., 2019, RISK ASS EC EV DEC W
   Güneralp B, 2015, GLOBAL ENVIRON CHANG, V31, P217, DOI 10.1016/j.gloenvcha.2015.01.002
   Haer T, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.102009
   Hallegatte S., 2006, REGULATORY ANAL
   Hallegatte S, 2016, CLIM RISK MANAGE POL, P31, DOI 10.1007/978-3-319-40694-7_2
   Hamburg University of Technology, 2010, EST SEC BEN
   Hufschmidt M.M., 2000, Water Resources Update, V116, P42
   IACWR Subcommittee on Evaluation Standards, 1958, REP INT RIV BAS COMM
   IFRC, 2014, MANGR PLANT VIET NAM
   Jessee N., 2019, Louisiana's Response to Extreme Weather: A Test Case for Coastal Resilience
   Jha AK, 2012, CITIES AND FLOODING: A GUIDE TO INTEGRATED URBAN FLOOD RISK MANAGEMENT FOR THE 21ST CENTURY, P1, DOI 10.1596/978-0-8213-8866-2
   Kahn M.E, 2020, LOCAL EC IMPACT FLOO
   Kim SK, 2020, CLIMATIC CHANGE, V162, P2277, DOI 10.1007/s10584-020-02803-5
   Kind J, 2020, ENVIRON DEV ECON, V25, P115, DOI 10.1017/S1355770X19000275
   Kind J, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.446
   Kwakkel JH, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000626
   McKean Roland., 1958, Efficiency in Government through Systems Analysis with Emphasis on Water Resources
   Mechler R, 2016, CLIM RISK MANAGE POL, P73, DOI 10.1007/978-3-319-40694-7_4
   Miyatsuka A, 2018, ASIAN COBENEFITS PAR
   Munich R.E, 2020, NATCATSERVICE RELEVA
   Nusit K, 2019, GEOGR TECH, V14, P129, DOI 10.21163/GT_2019.141.26
   Park C.S., 2015, CONT ENG EC, Vsixth
   Pearce D.W., 1983, Cost-Benefit Analysis
   Penning-Rowsell E., 2014, Flood and Coastal Erosion Risk Management: A Manual for Economic Appraisal
   Persky J, 2001, J ECON PERSPECT, V15, P199, DOI 10.1257/jep.15.4.199
   Peterson.Brustad.Inc, 2011, SMITH CAN CLOS STRUC
   Picciotto R., 2017, INVOLUNTARY RESETTLE
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Rodin Judith., 2014, RESILIENCE DIVIDEND
   Rosato P, 2017, BUILDINGS-BASEL, V7, DOI 10.3390/buildings7040112
   Rozer V., 2021, MULTIPLE RESILIENCE
   RPS Group, 2014, E CFRAM STUD PODDL O
   Shenvi A, 2021, REFERENCE GUIDE ADAP
   Siders AR, 2021, CURR OPIN ENV SUST, V52, P1, DOI 10.1016/j.cosust.2021.03.017
   Siders AR, 2019, ONE EARTH, V1, P216, DOI 10.1016/j.oneear.2019.09.008
   Siders AR, 2019, CLIMATIC CHANGE, V152, P239, DOI 10.1007/s10584-018-2272-5
   Simpson A., 2021, EC DISASTER PREVENTI
   Sohn W, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126643
   Sunstein CR, 2005, ETHICS, V115, P351, DOI 10.1086/426308
   Taillardat P, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0251
   Tanner T., 2015, The Triple Dividend of Resilience
   Tanner T, 2016, CLIM RISK MANAGE POL, P1, DOI 10.1007/978-3-319-40694-7_1
   UNDP, 2018, PROJ DOC ENH CLIM CH
   US Bureau of the Budget, 1952, A47 US BUR BUDG
   Vorhies F, 2016, 7633 WORLD BANK
   Wang R, 2022, J CLEAN PROD, V371, DOI 10.1016/j.jclepro.2022.133462
   Ward WA, 2019, J BENEFIT-COST ANAL, V10, P124, DOI 10.1017/bca.2019.3
   White G., 1942, Human adjustment to floods
   Wieczerak T, 2020, MIDDLE STATES GEOGRA, V53, P32
   Wilmsen B, 2011, J ENVIRON DEV, V20, P355, DOI 10.1177/1070496511426478
   World Bank, 2005, PROJ APPR DOC CIT BU
   World Bank, 2013, PROJ APPR DOC PEOPL
   World Bank, 1998, PROJ APPR DOC PROP C
   World Bank, 2001, PROJ APPR DOC PROP C
   World Bank, 1989, STAFF APPR REP REP T
   World Bank, 2016, PROJ APR DOC PROP LO
   World Bank, 2017, PROJ APPR DOC REP PH
   World Bank, 2022, PROJ APPR DOC REP LI
NR 94
TC 9
Z9 9
U1 14
U2 53
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD JAN 15
PY 2023
VL 326
AR 116617
DI 10.1016/j.jenvman.2022.116617
EA NOV 2022
PN A
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 6N5XE
UT WOS:000889628400003
PM 36410301
DA 2025-04-22
ER

PT J
AU Li, Z
   Wang, LL
   Lun, F
   Hu, QY
   Xu, YQ
   Sun, DF
AF Li, Zhuo
   Wang, Linlin
   Lun, Fei
   Hu, Qiyuan
   Xu, Yueqing
   Sun, Danfeng
TI A framework to identify critical dynamics of water quality for
   diagnosing river basin ecosystem resilience and management
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE ecosystem resilience; water quality; critical dynamics; wavelet
   analysis; agriculture-intensive watershed
ID SYSTEMS
AB This study proposed a novel framework to identify critical water quality dynamics as early warning signals for diagnosing changes in the resilience of river basin ecosystems. We established empirical linkages between the theoretical background of three resilience capacities (robustness, adaptability and transformability) and water quality dynamics. Then, the processes of resilience degradation and their risk transfer or accumulation have been identified based on the shifts among different states. The methods of time-domain analysis and frequency-domain analysis were integrated into this framework, aiming to identify gradual and transient responses of water quality and its periodic fluctuation characteristics at multiple temporal scales. The time-domain analysis methods obtained the trend, cumulative periodic fluctuation of water quality by extracting the key characteristic parameters from the time-series data. The wavelet transform methods were introduced into the frequency-domain analysis to reveal the water quality fluctuation patterns at specific temporal scales. We tested the proposed framework in a typical agriculture-intensive watershed in eastern China. The results showed that this framework can be effectively used to identify three resilience states of river basin ecosystems. The degraded resilience regions were mainly distributed in the downstream area, which was influenced by their specific land use/cover and different agricultural soil health conditions. Particularly, urban sewage discharge was the main cause of periodic fluctuation in water quality time series at multiple high-frequency scales. The theoretical background of resilience capacities was elaborated in non-equilibrium dynamics before resilience degradation. Thus, this novel framework could reveal the pollution processes and driving mechanisms in different river reaches, and it also can provide adaptive management suggestions according to resilience dynamics traits.
C1 [Li, Zhuo; Wang, Linlin; Lun, Fei; Hu, Qiyuan; Xu, Yueqing; Sun, Danfeng] China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China.
   [Li, Zhuo] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China.
C3 China Agricultural University; Chinese Academy of Agricultural Sciences;
   Institute of Agricultural Resources & Regional Planning, CAAS
RP Sun, DF (corresponding author), China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China.
EM sundf@cau.edu.cn
RI LIU, QQ/KSM-8971-2024; Huang, xu/JDD-1638-2023
FU Open Fund of Key Laboratory of Urban Land Resources Monitoring and
   Simulation, Ministry of Natural Resources [KF-2020-05-026]; National
   Natural Science Foundation of China [41801202, 41911530693]; National
   Key Research and Development Program of China [2016YFD0201207]
FX The authors are very grateful for the constructive feedback from three
   anonymous reviews that helped improving the quality of this article.
   They also appreciate editor Daniel M Kammen and Rob Freeman for the
   helpful suggestions and patience during reviewing and revision. This
   project supported by the Open Fund of Key Laboratory of Urban Land
   Resources Monitoring and Simulation, Ministry of Natural Resources
   (KF-2020-05-026), and the National Natural Science Foundation of China
   (41801202 and 41911530693), and the National Key Research and
   Development Program of China (2016YFD0201207).
CR Ahmadi F, 2022, STOCH ENV RES RISK A, V36, P3265, DOI 10.1007/s00477-022-02193-3
   [Anonymous], 2014, Journal of Earth Science & Climatic Change, DOI DOI 10.4172/2157-7617.1000E109
   Behboudian M, 2021, J ENVIRON MANAGE, V284, DOI 10.1016/j.jenvman.2021.112025
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Dakos V, 2019, NAT ECOL EVOL, V3, P355, DOI 10.1038/s41559-019-0797-2
   Folke C, 2010, ECOL SOC, V15
   Hillebrand H, 2020, NAT ECOL EVOL, V4, P1502, DOI 10.1038/s41559-020-1256-9
   Hodgson D, 2015, TRENDS ECOL EVOL, V30, P503, DOI 10.1016/j.tree.2015.06.010
   Hoque YM, 2012, J ENVIRON MANAGE, V109, P101, DOI 10.1016/j.jenvman.2012.05.010
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Huang JC, 2021, WATER RES, V201, DOI 10.1016/j.watres.2021.117309
   Jaiswal D, 2021, ENVIRON POLLUT, V268, DOI 10.1016/j.envpol.2020.115771
   Jaiswal D, 2019, ENVIRON RES, V178, DOI 10.1016/j.envres.2019.108712
   Jiang JP, 2020, J HYDROL, V589, DOI 10.1016/j.jhydrol.2020.125175
   Kuriqi A, 2021, RENEW SUST ENERG REV, V142, DOI 10.1016/j.rser.2021.110833
   Kuriqi A, 2019, APPL ENERG, V256, DOI 10.1016/j.apenergy.2019.113980
   Labat D, 2005, J HYDROL, V314, P275, DOI 10.1016/j.jhydrol.2005.04.003
   Li Z, 2021, J ENVIRON MANAGE, V277, DOI 10.1016/j.jenvman.2020.111402
   Liu YL, 2019, NAT CLIM CHANGE, V9, P880, DOI 10.1038/s41558-019-0583-9
   Mallya G, 2018, J ENVIRON MANAGE, V214, P104, DOI 10.1016/j.jenvman.2018.02.049
   Meuwissen MPM, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102656
   Meyer K, 2018, NAT SUSTAIN, V1, P671, DOI 10.1038/s41893-018-0168-z
   Mirauda D, 2021, ENVIRON SCI POLLUT R, V28, P36775, DOI 10.1007/s11356-021-13157-5
   Oliver TH, 2015, TRENDS ECOL EVOL, V30, P673, DOI 10.1016/j.tree.2015.08.009
   Pérez-Gutiérrez JD, 2017, AGR WATER MANAGE, V187, P131, DOI 10.1016/j.agwat.2017.03.014
   Qi M, 2016, J HYDROL, V539, P281, DOI 10.1016/j.jhydrol.2016.05.039
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Sterk M, 2013, ECOL INDIC, V30, P21, DOI 10.1016/j.ecolind.2013.02.001
   Su L, 2019, J GEOPHYS RES-ATMOS, V124, P4932, DOI 10.1029/2018JD029842
   Sun C, 2021, WATER RES, V196, DOI 10.1016/j.watres.2021.117015
   van Vliet MTH, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abbfc3
   Walker B., 2004, Ecology and Society, V9, P5
   Zanotti C, 2019, WATER RES, V159, P122, DOI 10.1016/j.watres.2019.04.058
NR 33
TC 2
Z9 2
U1 8
U2 37
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD MAR 1
PY 2023
VL 18
IS 3
AR 034026
DI 10.1088/1748-9326/acbc8e
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 9H0BU
UT WOS:000938508100001
OA gold
DA 2025-04-22
ER

PT J
AU Yumagulova, L
AF Yumagulova, Lilia
TI Disrupting the riskscapes of inequities: a case study of planning for
   resilience in Canada's Metro Vancouver region
SO CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY
LA English
DT Article
DE riskscapes; regional planning; resilience; Indigenous communities;
   inequities
ID INDIGENOUS PEOPLES; DISASTER RISK; SETTLER COLONIALISM; URBAN
   RESILIENCE; MANAGEMENT; ADAPTATION; NORTH; LAND; KNOWLEDGE; PERSPECTIVES
AB The analysis across spatial, temporal and governance scales shows an inequitable distribution of risk across Canada's Metro Vancouver region. For First Nation communities in this region, this risk is rooted in the colonial history of land dispossession This article makes a contribution by expanding our understanding of historic creation of riskscapes and a discussion of its implications as a multiscale governance issue that persists across space and time. This article also situates the impacts of projected sea level rise on Indigenous communities in the context of regional, provincial and federal settler-colonial flood risk management regime.
C1 [Yumagulova, Lilia] Univ British Columbia, Sch Community & Reg Planning, Vancouver, BC V6T 1Z4, Canada.
   [Yumagulova, Lilia] Univ British Columbia, Sauder Sch Business, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia; University of British Columbia
RP Yumagulova, L (corresponding author), Univ British Columbia, Sch Community & Reg Planning, Vancouver, BC V6T 1Z4, Canada.; Yumagulova, L (corresponding author), Univ British Columbia, Sauder Sch Business, Vancouver, BC V6T 1Z4, Canada.
EM lilia.yumagulova@ubc.ca
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 1996, PEOPL PEOPL NAT NAT
   [Anonymous], 1975, THESIS
   Assembly of First Nations, 2010, OUR STORY
   Bacon JM, 2020, ENVIRON SOCIOL, V6, P143, DOI 10.1080/23251042.2019.1706262
   Bacon JM, 2019, ENVIRON SOCIOL, V5, P59, DOI 10.1080/23251042.2018.1474725
   Beck U, 2006, ECON SOC, V35, P329, DOI 10.1080/03085140600844902
   Belfer E, 2017, CLIMATIC CHANGE, V145, P57, DOI 10.1007/s10584-017-2076-z
   Beverly JL, 2011, NAT HAZARDS, V59, P571, DOI 10.1007/s11069-011-9777-9
   Blaze Baum K., 2016, MANITOBA COMMUNITY S
   Bristow G, 2010, CAMB J REG ECON SOC, V3, P153, DOI 10.1093/cjres/rsp030
   British Columbia Ministry of Environment, 2013, SEA LEV RIS AD PRIM
   Burch S, 2009, THESIS
   Cameron K., 1992, REGIONAL GOVERNANCE
   Canadian Mortgage and Housing Corporation, 2007, FIR PREV AB COMM
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   Castleden H, 2017, PROG COMM HLTH PARTN, V11, P23, DOI 10.1353/cpr.2017.0003
   Centre for Indigenous Environmental Resources, 2008, CLIM CHANG 1 NAT S 6
   Chan K., 2016, OPINION TSWASSEN MIL
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   City of Vancouver, 2019, RES VANC
   City of Vancouver, 2015, GREEN CIT 2020 ACT 2
   Creswell J.W., 2012, QUAL INQ
   Deslatte A, 2019, PUBLIUS J FEDERALISM, V49, P352, DOI 10.1093/publius/pjy020
   District of North Vancouver, 2020, SEA LEV RIS STRAT
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Eakin H, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P212
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Ford JD, 2016, WIRES CLIM CHANGE, V7, P175, DOI 10.1002/wcc.376
   Forseth P., 2012, Adaptation to sea level rise in metro Vancouver: A review of literature for historical sea level flooding and projected sea level rise in metro Vancouver
   Fraser Basin Council, 2016, LOW MAINL FLOOD MAN
   Fraser Basin Council, 2015, OUR HIST
   Fraser Basin Management Board, 1994, REV FRAS RIV FLOOD C
   Gibbard J. E., 1937, THESIS
   Gilbert M, 2006, CAN J PUBLIC HEALTH, V97, P300, DOI 10.1007/BF03405608
   Glavin T., 2014, SEA US AMAZING STRAI, P263
   Goldstein BE, 2009, ECOL SOC, V14
   Government of British Columbia, 2019, IND CLIM AD TECHN WO
   Harris C, 2004, ANN ASSOC AM GEOGR, V94, P165, DOI 10.1111/j.1467-8306.2004.09401009.x
   HARRIS C, 1994, ETHNOHISTORY, V41, P591, DOI 10.2307/482767
   Harris R.Cole., 2002, MAKING NATIVE SPACE
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   Hibbard M, 2008, J PLAN LIT, V23, P136, DOI 10.1177/0885412208322922
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holmes, 2020, PAY 50000 WAT LEAV S
   Hoover E, 2012, ENVIRON HEALTH PERSP, V120, P1645, DOI 10.1289/ehp.1205422
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Hunter J., 2020, WHOS CHARGE KEEPING
   Indigenous Foundations, 2009, BANDS
   Indigenous Service Canada, 2020, 1 NAT AD PROGR
   Jenerette GD, 2011, ECOL APPL, V21, P2637, DOI 10.1890/10-1493.1
   Konisky DM, 2018, POLICY STUD J, V46, P7, DOI 10.1111/psj.12203
   Labbe S., 2020, KWIKWETLEM 1 NATION
   Lavell A, 2014, ENVIRON HAZARDS-UK, V13, P267, DOI 10.1080/17477891.2014.935282
   Lebel L, 2006, ECOL SOC, V11
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Litke S., 2017, AD CLIM CHANG IMP CO
   Macintosh A, 2013, MITIG ADAPT STRAT GL, V18, P1035, DOI 10.1007/s11027-012-9406-2
   Manrique DR, 2018, ENVIRON SCI POLICY, V85, P90, DOI 10.1016/j.envsci.2018.04.007
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Maskrey A, 2011, ENVIRON HAZARDS-UK, V10, P42, DOI 10.3763/ehaz.2011.0005
   McDaniels T, 2006, ENVIRON SCI POLICY, V9, P423, DOI 10.1016/j.envsci.2006.03.005
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Monaghan J, 2013, CAN J SOCIOL, V38, P487, DOI 10.29173/cjs21195
   Müller-Mahn D, 2018, ERDKUNDE, V72, P197, DOI 10.3112/erdkunde.2018.02.09
   Muir S., 2014, SEA US AMAZING STRAI, P280
   Muller-Mahn D., 2012, The Spatial Dimension of Risk: How Geography Shapes the Emergence of Riskscapes, P202
   Muller-Mahn D., 2013, The Spatial Dimension of Risk: How Geography Shapes the Emergence of Riskscapes
   Munene MB, 2018, INT J DISAST RISK RE, V28, P653, DOI 10.1016/j.ijdrr.2018.01.021
   Neisser F, 2017, GEOFORUM, V82, P170, DOI 10.1016/j.geoforum.2017.04.008
   Newman L, 2015, J RURAL STUD, V39, P99, DOI 10.1016/j.jrurstud.2015.03.006
   Northwest Hydraulic Consultants, 2015, REG ASS FLOOD VULN
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Oulahen G, 2015, ANN ASSOC AM GEOGR, V105, P473, DOI 10.1080/00045608.2015.1012634
   Owrangi AM, 2014, NAT HAZARDS, V72, P1219, DOI 10.1007/s11069-014-1064-0
   Pan American Health Organisation and World Health Organisation, 2015, REC ENG IND PEOPL DI
   Parsons M, 2019, GLOBAL ENVIRON CHANG, V56, P95, DOI 10.1016/j.gloenvcha.2019.03.008
   Parsons M, 2016, GLOBAL ENVIRON CHANG, V38, P82, DOI 10.1016/j.gloenvcha.2016.01.010
   Pasternak S, 2015, ANTIPODE, V47, P179, DOI 10.1111/anti.12094
   Payne S., 2016, KWIKWETLEM 1 NATION
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Price G., 2016, ONE METRO VANCOUVERS
   Provincial Agricultural Land Commission, 2014, ALR HIST
   Reading CL, 2009, Health inequalities and social determinants of Aboriginal people's health
   Ross L.J., 1979, Richmond Child of the Fraser
   Sandwell Ausenco, 2011, CLIMATE CHANGE ADAPT
   Schmidt JJ, 2018, ANN AM ASSOC GEOGR, V108, P901, DOI 10.1080/24694452.2017.1403878
   Shaw K., 2013, PUBLIC POLICY ADMIN, V28, P43, DOI [DOI 10.1177/0952076711432578, 10.1177/0952076711432578]
   Siekierska A., 2017, FIRE DEATH CANADAS 1
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Simpson LB, 2014, DECOLONIZATION, V3, P1
   Slaymaker O, 1999, INT J EARTH SCI, V88, P317, DOI 10.1007/s005310050267
   Smith Keith., 2004, Environmental Hazards
   Stanley A, 2016, ENVIRON PLANN A, V48, P2422, DOI 10.1177/0308518X16660352
   Statistics Canada, 2016, CENS BRIEF HOUS COND
   Tappenden KM, 2014, NAT HAZARDS, V72, P481, DOI 10.1007/s11069-013-1016-0
   Tsawwassen First Nations, 2020, TIM OUR HIST
   Tsleil-Waututh Nation, 2017, BURR INL ACT PLAN
   Turner N. J., 2000, CONST COMM CRAFT SUS, P1
   Turner NJ, 2009, GLOBAL ENVIRON CHANG, V19, P180, DOI 10.1016/j.gloenvcha.2009.01.005
   van der Vegt GS, 2015, ACAD MANAGE J, V58, P971, DOI 10.5465/amj.2015.4004
   Walker B., 2014, GEN RESILIENCE DISCU
   Walker BH, 2007, ECOL ECON, V61, P708, DOI 10.1016/j.ecolecon.2006.04.010
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Watt K.J., 2006, HIGH WATER LIVING FR
   Whitney C. K., 2019, THESIS
   Whyte K, 2018, ENVIRON SOC, V9, P125, DOI 10.3167/ares.2018.090109
   Wilk P, 2017, PUBLIC HEALTH REV, V38, DOI 10.1186/s40985-017-0055-6
   Yin RobertK., 2009, Case Study Research: Design and Methods, V4th ed.
   Yumagulova L., 2019, THESIS
   Yumagulova L, 2019, ENVIRON SCI POLICY, V100, P66, DOI 10.1016/j.envsci.2019.05.022
   Yumagulova L, 2017, J SUSTAIN DEV ENERGY, V5, P273, DOI 10.13044/j.sdewes.d5.0149
NR 119
TC 8
Z9 9
U1 1
U2 10
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1752-1378
EI 1752-1386
J9 CAMB J REG ECON SOC
JI Camb. J. Regions Econ. Soc.
PD JUL
PY 2020
VL 13
IS 2
SI SI
BP 293
EP 318
DI 10.1093/cjres/rsaa029
PG 26
WC Development Studies; Economics; Geography
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics; Geography
GA PQ0UX
UT WOS:000606267200006
DA 2025-04-22
ER

PT J
AU Jie, Y
   Wang, SY
   Jie, Z
   Jing, Z
   Zhang, WL
AF Jie, Yang
   Wang, Shiying
   Jie, Zhou
   Jing, Zhang
   Zhang, Wenliu
TI Optimisation of ecological security patterns in ecologically transition
   areas under the perspective of ecological resilience - a case of Taohe
   River
SO ECOLOGICAL INDICATORS
LA English
DT Review
DE Land use; Ecological resilience; Ecological security pattern; Taohe
   River Basin
ID ECOSYSTEM SERVICES; REGION
AB High-intensity land development has led to numerous ecological problems, severely threatening regional sustainable development. Resilience is key to maintaining regional sustainable development. This study focuses on the Taohe River Basin and constructs an ecological resilience evaluation model based on the framework of ecosystem adaptability, ecosystem resistance, and ecosystem recovery from the perspective of resilient ecosystem functions. Using software such as InVEST and Fragstats, the study assesses the spatiotemporal changes in ecological resilience in the Taohe River Basin. Based on the ecological resilience pattern, ecological sources were identified, resistance surfaces were constructed, and ecological corridors were extracted, thereby establishing an ecological resilience security pattern for the Taohe River Basin. During the study period, the level of ecological resilience in the Taohe River Basin showed a gradual upward trend. A total of 33 ecological source areas were identified, accounting for 27.57 % of the total area of the Taohe River Basin. Seventy ecological corridors were identified, with a total length of 6478.63 km and an average length of 92.55 km. Combining the topography, ecological background conditions, and current urban development status of the Taohe River Basin, an ecological security pattern of "two screens, two corridors, five areas, and multiple points" was constructed, along with corresponding optimization suggestions. The research results are of great significance for optimizing spatial layout, maintaining regional ecological security, and promoting regional integrated development. Additionally, they provide new ideas for assessing regional ecological resilience.
C1 [Jie, Yang; Jie, Zhou; Jing, Zhang; Zhang, Wenliu] Gansu Agr Univ, Coll Pratacultural Sci, Lanzhou, Peoples R China.
   [Wang, Shiying] Gansu Agr Univ, Sch Management, Lanzhou, Peoples R China.
C3 Gansu Agricultural University; Gansu Agricultural University
RP Jie, Y (corresponding author), Gansu Agr Univ, Coll Pratacultural Sci, Lanzhou, Peoples R China.
EM yang_jie@gsau.edu.cn
FU Gansu Provincial Department of Education: Major Cultivation Project of
   University Research and Innovation Platform [2024CXPT-07]
FX This research was funded by the Gansu Provincial Department of
   Education: Major Cultivation Project of University Research and
   Innovation Platform (2024CXPT-07) .
CR Baho DL, 2017, ECOL SOC, V22, DOI 10.5751/ES-09427-220317
   Bai HA, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109773
   Balaei B, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102077
   Bravo-Osorio F, 2023, ETHICS POLICY ENV, V26, P359, DOI 10.1080/21550085.2022.2054648
   Chen Yan, 2023, Acta Ecologica Sinica, V43, P7060
   Côté IM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000438
   Dakos V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5767
   [邓楚雄 Deng Chuxiong], 2022, [中国土地科学, China Land Science], V36, P11
   Dibs H., 2023, Emerg Sci J, V7, P428, DOI [10.28991/ESJ-2023-07-02-09, DOI 10.28991/ESJ-2023-07-02-09]
   Dong JQ, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103907
   Fischer J, 2009, TRENDS ECOL EVOL, V24, P549, DOI 10.1016/j.tree.2009.03.020
   Gómez-Baggethun E, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100965
   Hamzah S, 2023, CIV ENG J-TEHRAN, V9, P334, DOI 10.28991/CEJ-2023-09-02-06
   Hu MM, 2018, POL J ENVIRON STUD, V27, P1085, DOI 10.15244/pjoes/76242
   [纪学朋 Ji Xuepeng], 2017, [生态学报, Acta Ecologica Sinica], V37, P5861
   Jiang H, 2021, LANDSCAPE ECOL, V36, P2135, DOI 10.1007/s10980-021-01234-6
   Li Z, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acbc8e
   Lv TY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.110016
   Reyers B, 2022, NAT SUSTAIN, V5, P657, DOI 10.1038/s41893-022-00889-6
   [陶洁怡 Tao Jieyi], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1975
   Wang YH, 2018, ECOSYST SERV, V34, P55, DOI 10.1016/j.ecoser.2018.09.008
   [辛顺杰 Xin Shunjie], 2022, [草业科学, Pratacultural Science], V39, P1256
   Yang GY, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101932
   Yu BW, 2024, J ENVIRON MANAGE, V353, DOI 10.1016/j.jenvman.2024.120193
   Zeng C., 2022, J. Nat. Res., V37, P3118, DOI DOI 10.31497/ZRZYXB.20221207
   [战金艳 Zhan Jinyan], 2012, [自然资源学报, Journal of Natural Resources], V27, P1304
   Zhang HT, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110981
   Zhang LQ, 2017, URBAN ECOSYST, V20, P701, DOI 10.1007/s11252-016-0629-y
   Zhang YY, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106862
   [朱捷 Zhu Jie], 2020, [自然资源学报, Journal of Natural Resources], V35, P1986
NR 30
TC 8
Z9 8
U1 107
U2 149
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD SEP
PY 2024
VL 166
AR 112315
DI 10.1016/j.ecolind.2024.112315
EA JUL 2024
PG 13
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA XT2D5
UT WOS:001263854700001
OA gold
DA 2025-04-22
ER

PT J
AU Wilson, PA
   Meyer, IH
   Antebi-Gruszka, N
   Boone, MR
   Cook, SH
   Cherenack, EM
AF Wilson, Patrick A.
   Meyer, Ilan H.
   Antebi-Gruszka, Nadav
   Boone, Melissa R.
   Cook, Stephanie H.
   Cherenack, Emily M.
TI Profiles of Resilience and Psychosocial Outcomes among Young Black Gay
   and Bisexual Men
SO AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY
LA English
DT Article
DE Resilience; African-American; Black; Gay; bisexual; Young men;
   Psychosocial factors
ID URBAN AFRICAN-AMERICAN; SOCIAL SUPPORT; HIV-INFECTION; PSYCHOLOGICAL
   DISTRESS; ECONOMIC HARDSHIP; SCREENING SCALES; SYNDEMIC THEORY; LATINO
   MEN; RISK; SEX
AB Young Black gay/bisexual men (YBGBM) are affected by contextual stressorsnamely syndemic conditions and minority stressthat threaten their health and well-being. Resilience is a process through which YBGBM achieve positive psychosocial outcomes in the face of adverse conditions. Self-efficacy, hardiness and adaptive coping, and social support may be important resilience factors for YBGBM. This study explores different profiles of these resilience factors in 228 YBGBM in New York City and compares profiles on psychological distress, mental health, and other psychosocial factors. Four profiles of resilience were identified: (a) Low self-efficacy and hardiness/adaptive coping (23.5%); (b) Low peer and parental support (21.2%); (c) High peer support, low father support (34.5%); and (d) High father and mother support, self-efficacy, and hardiness/adaptive coping (20.8%). YBGBM in profile 1 scored markedly higher on distress (d=.74) and lower on mental health functioning (d=.93) compared to men in the other profiles. Results suggest that self-efficacy and hardiness/adaptive coping may play a more important role in protecting YBGBM from risks compared to social support and should be targeted in interventions. The findings show that resilience is a multidimensional construct and support the notion that there are different patterns of resilience among YBGBM.
C1 [Wilson, Patrick A.; Antebi-Gruszka, Nadav; Boone, Melissa R.; Cook, Stephanie H.; Cherenack, Emily M.] Columbia Univ, Mailman Sch Publ Hlth, Dept Sociomed Sci, New York, NY USA.
   [Meyer, Ilan H.] Univ Calif Los Angeles, Williams Inst, Los Angeles, CA USA.
C3 Columbia University; University of California System; University of
   California Los Angeles
RP Wilson, PA (corresponding author), Columbia Univ, Mailman Sch Publ Hlth, Dept Sociomed Sci, New York, NY USA.
EM pw2219@columbia.edu
RI Meyer, Ilan/A-2142-2009; Cook, Stephanie/AGF-6997-2022; Wilson,
   Patrick/JCO-5385-2023; Cherenack, Emily/LTC-9761-2024
OI Cherenack, Emily/0000-0002-8762-2050; Sanchez Rivera, Mayra
   Martina/0009-0002-0828-9200; Cook, Stephanie/0000-0003-4505-0813;
   Wilson, Patrick/0000-0003-2027-7587
FU Centers for Disease Control and Prevention [U01 PS000700]
FX This research was supported by a grant from the Centers for Disease
   Control and Prevention (U01 PS000700, awarded to Patrick A. Wilson,
   Ph.D.). The authors thank Madeline Sutton, MD, MPH, Dawn Smith, MD, MPH,
   Leigh Willis, PhD, MPH, and Ted Castellanos, MPH for the commitment to
   and support of this research.
CR [Anonymous], 1994, SELF EFFICACY, DOI DOI 10.1002/9780470479216.CORPSY0836
   BANDURA A, 1982, AM PSYCHOL, V37, P122, DOI 10.1037/0003-066X.37.2.122
   Bandura A, 2001, ANNU REV PSYCHOL, V52, P1, DOI 10.1146/annurev.psych.52.1.1
   Bandura A., 1986, SOCIAL FDN THOUGHT A
   BARRERA M, 1981, AM J COMMUN PSYCHOL, V9, P435, DOI 10.1007/BF00918174
   BARRERA M, 1986, AM J COMMUN PSYCHOL, V14, P413, DOI 10.1007/BF00922627
   Batchelder AW, 2015, AM J COMMUN PSYCHOL, V56, P229, DOI 10.1007/s10464-015-9750-y
   Beasley CR, 2015, AM J COMMUN PSYCHOL, V55, P164, DOI 10.1007/s10464-015-9701-7
   Beasley M, 2003, PERS INDIV DIFFER, V34, P77, DOI 10.1016/S0191-8869(02)00027-2
   Brown DL, 2008, J BLACK PSYCHOL, V34, P32, DOI 10.1177/0095798407310538
   Buttram ME, 2013, J COMMUN HEALTH, V38, P62, DOI 10.1007/s10900-012-9582-8
   Choi KH, 2011, AIDS EDUC PREV, V23, P145, DOI 10.1521/aeap.2011.23.2.145
   COHEN J, 1992, PSYCHOL BULL, V112, P155, DOI 10.1037/0033-2909.112.1.155
   Connor KM, 2003, DEPRESS ANXIETY, V18, P76, DOI 10.1002/da.10113
   Derogatis L.R., 1993, ADM SCORING PROCEDUR, V4th
   Dyer TP, 2012, J URBAN HEALTH, V89, P697, DOI 10.1007/s11524-012-9674-x
   Edin K, 2009, ANN AM ACAD POLIT SS, V621, P149, DOI 10.1177/0002716208325548
   Fergus S, 2005, ANNU REV PUBL HEALTH, V26, P399, DOI 10.1146/annurev.publhealth.26.021304.144357
   Formann A. K, 1984, LATENT CLASS ANAL, P1
   Fraley RC, 2000, J PERS SOC PSYCHOL, V78, P350, DOI 10.1037/0022-3514.78.2.350
   Furukawa TA, 2003, PSYCHOL MED, V33, P357, DOI 10.1017/S0033291702006700
   Gwadz Marya Viorst, 2006, Sex Res Social Policy, V3, P13, DOI 10.1525/srsp.2006.3.1.13
   Halkitis PN, 2012, ANN ANTHROPL PRACT, V36, P365, DOI 10.1111/napa.12009
   Hatzenbuehler ML, 2010, SOC ISS POLICY REV, V4, P31, DOI 10.1111/j.1751-2409.2010.01017.x
   Herrick AL, 2014, AIDS BEHAV, V18, P1, DOI 10.1007/s10461-012-0384-x
   Herrick AL, 2013, AIDS BEHAV, V17, P1423, DOI 10.1007/s10461-012-0392-x
   Herrick AL, 2011, AIDS BEHAV, V15, pS25, DOI 10.1007/s10461-011-9895-0
   Kessler RC, 2002, PSYCHOL MED, V32, P959, DOI 10.1017/S0033291702006074
   KOBASA SC, 1982, J PERS SOC PSYCHOL, V42, P168, DOI 10.1037/0022-3514.42.1.168
   KOBASA SC, 1979, J PERS SOC PSYCHOL, V37, P1, DOI 10.1037/0022-3514.37.1.1
   KOBASA SCO, 1985, J PSYCHOSOM RES, V29, P525
   Kolar K, 2011, INT J MENT HEALTH AD, V9, P421, DOI 10.1007/s11469-011-9329-2
   Kwon P, 2013, PERS SOC PSYCHOL REV, V17, P371, DOI 10.1177/1088868313490248
   Lauby JL, 2012, AIDS BEHAV, V16, P508, DOI 10.1007/s10461-011-0002-3
   Maddi S. R., 1999, CONSULT PSYCH J, V51, P83, DOI DOI 10.1037/1061-4087.51.2.83
   Maddi SR, 2002, J RES PERS, V36, P72, DOI 10.1006/jrpe.2001.2337
   Mashburn AJ, 2004, J COMMUNITY PSYCHOL, V32, P45, DOI 10.1002/jcop.10080
   Masten A., 2009, HDB ADULT RESILIENCE, P213
   Masten AS, 2001, AM PSYCHOL, V56, P227, DOI 10.1037/0003-066X.56.3.227
   McGeary DD, 2011, MIL MED, V176, P603, DOI 10.7205/MILMED-D-10-00480
   MCLOYD VC, 1990, CHILD DEV, V61, P311, DOI 10.1111/j.1467-8624.1990.tb02781.x
   Meyer I.H., 2006, Project STRIDE methodology and technical notes
   Meyer IH, 2003, PSYCHOL BULL, V129, P674, DOI 10.1037/0033-2909.129.5.674
   Meyer IH, 2011, SEX RES SOC POLICY, V8, P204, DOI 10.1007/s13178-011-0063-0
   Meyer IH, 2010, COUNS PSYCHOL, V38, P442, DOI 10.1177/0011000009351601
   Millett GA, 2007, AIDS, V21, P2083, DOI 10.1097/QAD.0b013e3282e9a64b
   Millett GA, 2012, LANCET, V380, P341, DOI 10.1016/S0140-6736(12)60899-X
   Mimiaga MJ, 2015, JAIDS-J ACQ IMM DEF, V68, P329, DOI 10.1097/QAI.0000000000000475
   Mustanski B, 2007, ANN BEHAV MED, V34, P37, DOI 10.1007/BF02879919
   Nehl EJ, 2016, AIDS BEHAV, V20, P449, DOI 10.1007/s10461-015-1134-7
   Nowack K M, 1990, Am J Health Promot, V4, P173, DOI 10.4278/0890-1171-4.3.173
   O'Donnell L, 2004, AM J COMMUN PSYCHOL, V33, P37, DOI 10.1023/B:AJCP.0000014317.20704.0b
   PEARLIN LI, 1978, J HEALTH SOC BEHAV, V19, P2, DOI 10.2307/2136319
   PETERSON JL, 1992, AM J PUBLIC HEALTH, V82, P1490, DOI 10.2105/AJPH.82.11.1490
   Pitt RN, 2010, J SCI STUD RELIG, V49, P56, DOI 10.1111/j.1468-5906.2009.01492.x
   PROCIDANO ME, 1983, AM J COMMUN PSYCHOL, V11, P1, DOI 10.1007/BF00898416
   Riggle EDB, 2008, PROF PSYCHOL-RES PR, V39, P210, DOI 10.1037/0735-7028.39.2.210
   RUTTER M, 1987, AM J ORTHOPSYCHIAT, V57, P316, DOI 10.1111/j.1939-0025.1987.tb03541.x
   Sapienza JK, 2011, CURR OPIN PSYCHIATR, V24, P267, DOI 10.1097/YCO.0b013e32834776a8
   SARASON IG, 1983, J PERS SOC PSYCHOL, V44, P127, DOI 10.1037/0022-3514.44.1.127
   Schwartz SJ, 2007, J SOC PSYCHOL, V147, P101, DOI 10.3200/SOCP.147.2.101-118
   Seery MD, 2011, CURR DIR PSYCHOL SCI, V20, P390, DOI 10.1177/0963721411424740
   Smith C.A., 1995, DELINQUENCY DISREPUT, P217
   Stall R., 2007, Unequal Opportunity: Health Disparities Affecting Gay and Bisexual Men in the United States, (Chapter 10), DOI DOI 10.1093/ACPROF:OSO/9780195301533.003.0009
   Steidel AGL, 2003, HISPANIC J BEHAV SCI, V25, P312, DOI 10.1177/0739986303256912
   WHITBECK LB, 1991, SOC PSYCHOL QUART, V54, P353, DOI 10.2307/2786847
   WHITE RW, 1959, PSYCHOL REV, V66, P297, DOI 10.1037/h0040934
   Wills TA, 2001, HANDBOOK OF HEALTH PSYCHOLOGY, P209
   Wilson PA, 2014, J URBAN HEALTH, V91, P983, DOI 10.1007/s11524-014-9895-2
   Woodyard J L, 2000, J Pastoral Care, V54, P451
   Yang C, 2013, J COMMUNITY PSYCHOL, V41, P435, DOI 10.1002/jcop.21548
   Zimmerman MA, 1999, AM J COMMUN PSYCHOL, V27, P733, DOI 10.1023/A:1022205008237
   Zimmerman MA, 2000, J COMMUNITY PSYCHOL, V28, P17
NR 73
TC 46
Z9 63
U1 2
U2 27
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0091-0562
EI 1573-2770
J9 AM J COMMUN PSYCHOL
JI Am. J. Community Psychol.
PD MAR
PY 2016
VL 57
IS 1-2
BP 144
EP 157
DI 10.1002/ajcp.12018
PG 14
WC Public, Environmental & Occupational Health; Psychology,
   Multidisciplinary; Social Work
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Psychology; Social Work
GA DK1WA
UT WOS:000374704500012
PM 27217318
OA Bronze
DA 2025-04-22
ER

PT J
AU Hong, WY
   Han, D
   He, B
   Li, YL
   Liang, MD
   Guo, RZ
AF Hong, Wuyang
   Han, Dong
   He, Biao
   Li, Yelin
   Liang, Minde
   Guo, Renzhong
TI Recovery capacity and ecological restoration strategy of urban green
   space based on the self-organization-resilience model
SO LAND DEGRADATION & DEVELOPMENT
LA English
DT Article
DE damage evaluation; ecological restoration; green space system; recovery
   capacity; Shenzhen
ID NATURAL VEGETATION; CONSERVATION; FRAMEWORK
AB Urban greenspace systems are key components of urban ecosystems. However, a quantitative index for the recovery ability of urban green space and a corresponding effective restoration model is lacking. We selected the key indicators that characterize the damage degree and recovery ability of green space ecosystems, constructed an evaluation index system of green space damage, and established a recovery capacity model using the attributes of self-organization and resilience of green space ecosystems as core attributes. Using the ecosystem damage and recovery capacity indexes, a discrimination matrix of the ecological restoration model, with a total of 12 different scenarios, was constructed to provide a differentiated model of ecological restoration. The highly urbanized Shenzhen Metropolis was selected as the study area. Based on the results, most of the green space in Shenzhen had no damage, however, 13.70% of the space had moderate and severe damage. Most of Shenzhen's green space had a medium recovery capacity level; while 14.21% and 15.69% of the areas had high and low recovery capacities, respectively. We outlined the areas where ecological restoration modes such as nature conservation, auxiliary restoration, and ecological reconstruction need to be applied. Our findings can be used to evaluate the self-restoration ability of ecological restoration sites and provide a conceptual basis and a case study reference for ecological restoration planning and management of urban green space.
C1 [Hong, Wuyang; He, Biao; Li, Yelin; Liang, Minde; Guo, Renzhong] Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518000, Peoples R China.
   [Hong, Wuyang; He, Biao] Shenzhen Univ, Res Inst Smart Cities, Shenzhen, Peoples R China.
   [Han, Dong] Chinese Acad Forestry, Res Inst Forestry, Beijing, Peoples R China.
C3 Shenzhen University; Shenzhen University; Chinese Academy of Forestry;
   Research Institute of Forestry, CAF
RP He, B (corresponding author), Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518000, Peoples R China.
EM szuhebiao@163.com
RI Hong, Wuyang/AGP-3237-2022
OI hong, wuyang/0009-0005-7686-8329
FU National Natural Science Foundation of China [42101427, 42371427];
   Shenzhen Basic Research project [JCYJ20220531101010021]
FX National Natural Science Foundation of China, Grant/Award Numbers:
   42101427, 42371427; Shenzhen Basic Research project, Grant/Award Number:
   JCYJ20220531101010021
CR [Anonymous], 2012, Resilience and the behavior of large-scale systems
   Aronson J, 2020, RESTOR ECOL, V28, P730, DOI 10.1111/rec.13170
   Arumugam R, 2021, OIKOS, V130, P525, DOI 10.1111/oik.08051
   Belmeziti A, 2018, SUSTAIN CITIES SOC, V43, P1, DOI 10.1016/j.scs.2018.07.014
   Burger J, 2008, SCI TOTAL ENVIRON, V400, P6, DOI 10.1016/j.scitotenv.2008.06.041
   Castelli KR, 2021, ECOL ENG, V173, DOI 10.1016/j.ecoleng.2021.106398
   Chen Wei Chen Wei, 2018, Scientia Silvae Sinicae, V54, P1
   Chen WY, 2021, URBAN FOR URBAN GREE, V66, DOI 10.1016/j.ufug.2021.127376
   Cui LJ, 2016, ECOL ENG, V96, P45, DOI 10.1016/j.ecoleng.2016.03.040
   Cumming GS, 2013, LANDSCAPE ECOL, V28, P1139, DOI 10.1007/s10980-012-9725-4
   Dong J., 2021, LANDSCAPE ECOL, V37, P1
   Drever CR, 2006, CAN J FOREST RES, V36, P2285, DOI 10.1139/X06-132
   Farrell C, 2022, URBAN FOR URBAN GREE, V76, DOI 10.1016/j.ufug.2022.127732
   Fisher JC, 2021, LANDSCAPE URBAN PLAN, V212, DOI 10.1016/j.landurbplan.2021.104119
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Ghinea C, 2013, ENVIRON ENG MANAG J, V12, P1735
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hobbs R. J., 2013, Novel Ecosystems: Intervening in the New Ecological World Order
   Jiang B, 2020, LAND DEGRAD DEV, V31, P2684, DOI 10.1002/ldr.3614
   Jogiste K, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1706
   Kauffman S., 1995, HOME UNIVERSE SEARCH
   Klaus VH, 2021, BASIC APPL ECOL, V52, P82, DOI 10.1016/j.baae.2021.02.010
   Liu OY, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102772
   Liu WW, 2023, LAND DEGRAD DEV, V34, P283, DOI 10.1002/ldr.4459
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Lu SS, 2019, ECOL INDIC, V104, P549, DOI 10.1016/j.ecolind.2019.05.015
   Maes J, 2015, LANDSCAPE ECOL, V30, P517, DOI 10.1007/s10980-014-0083-2
   Mori AS, 2011, J APPL ECOL, V48, P280, DOI 10.1111/j.1365-2664.2010.01956.x
   Peng J, 2019, LAND DEGRAD DEV, V30, P683, DOI 10.1002/ldr.3257
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   López DR, 2013, ECOL INDIC, V24, P1, DOI 10.1016/j.ecolind.2012.05.014
   Shi SX, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.139208
   Shrestha SR, 2018, APPL GEOGR, V93, P81, DOI 10.1016/j.apgeog.2018.02.016
   Sirakaya A, 2018, ECOSYST SERV, V29, P205, DOI 10.1016/j.ecoser.2017.01.001
   SPRUGEL DG, 1991, BIOL CONSERV, V58, P1, DOI 10.1016/0006-3207(91)90041-7
   Suding KN, 2004, TRENDS ECOL EVOL, V19, P46, DOI 10.1016/j.tree.2003.10.005
   Taylor L, 2018, URBAN ECOSYST, V21, P197, DOI 10.1007/s11252-017-0702-1
   van Andel J., 2012, RESTOR ECOL
   van Nes EH, 2007, AM NAT, V169, P738, DOI 10.1086/516845
   Verma P, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102261
   Wakshum S., 2018, INT J BIODIVERS CONS, V10, P380, DOI DOI 10.5897/IJBC2018.1226
   Wang YA, 2021, LANDSCAPE ECOL, V36, P1951, DOI 10.1007/s10980-020-01058-w
   Woolf S, 2016, INT J DISAST RISK RE, V19, P280, DOI 10.1016/j.ijdrr.2016.08.003
   Yackinous W. S., 2015, Understanding complex ecosystem dynamics: a systems and engineering perspective
   Yaffee SL, 1999, CONSERV BIOL, V13, P713, DOI 10.1046/j.1523-1739.1999.98127.x
   Yang G., 2019, J ZHEJIANG AGR SCI, V60, P508
   [战金艳 Zhan Jinyan], 2012, [自然资源学报, Journal of Natural Resources], V27, P1304
NR 48
TC 2
Z9 2
U1 22
U2 78
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1085-3278
EI 1099-145X
J9 LAND DEGRAD DEV
JI Land Degrad. Dev.
PD JAN 15
PY 2024
VL 35
IS 1
BP 76
EP 87
DI 10.1002/ldr.4898
EA SEP 2023
PG 12
WC Environmental Sciences; Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Agriculture
GA GP6M5
UT WOS:001061958400001
DA 2025-04-22
ER

PT J
AU Hobbs, M
   Ahuriri-Driscoll, A
   Kingham, S
   Wiki, J
   Marek, L
   Dionisio, MR
   Curl, A
   Schluter, P
   Banwell, K
   Mackenbach, JD
AF Hobbs, M.
   Ahuriri-Driscoll, A.
   Kingham, S.
   Wiki, J.
   Marek, L.
   Dionisio, M. R.
   Curl, A.
   Schluter, P.
   Banwell, K.
   Mackenbach, J. D.
TI A city profile of tautahi Christchurch
SO CITIES
LA English
DT Article
DE Maori-indigenous; Urban community; Disruption; Earthquakes; Recovery;
   Health
AB This city profile provides a transdisciplinary story of Otautahi Christchurch, Aotearoa New Zealand. We take a socio-cultural history approach to describe multiple disruptions that have led to the city's current urban form and community resilience, with a specific emphasis on the experiences of Maori since colonisation. Otautahi Christchurch is the ancestral home of Ngai Tahu people who exercise mana whenua - Indigenous sovereignty with respect to land, derived from genealogy and occupation. The area was colonised in the early 1800s and the city's strong colonial English ties are still visible in the city's layout, public spaces, urban representations, and architecture. Te Waipounamu South Island lies in an active fault zone resulting in high seismic activity. The Canterbury Earthquake Sequence 2010-2012 had a significant impact on the health of local communities, infrastructure and economies across the region. Subsequent recovery and long-term regeneration strategies across the region have been developed and partly implemented to date. Citizens embrace collaborative temporary urban projects to bridge the gap between emergency response and urban recovery with a return of Maori influence post-quake. This type of place-making contributes to the re-establishment of a sense of place in Otautahi Christchurch and a continuous engagement focused in reconnecting the citizens with the city. With this city profile we contribute to the field of critical geographies by sharing the cultural lessons learnt on indigenous resilience to disasters recovery, which may be of relevance to other cities facing ecological and cultural disruptions.
C1 [Hobbs, M.; Wiki, J.; Marek, L.] Univ Canterbury, GeoHlth Lab, Canterbury, New Zealand.
   [Hobbs, M.; Ahuriri-Driscoll, A.; Schluter, P.] Univ Canterbury, Sch Hlth Sci, Coll Educ Hlth & Human Dev, Canterbury, New Zealand.
   [Kingham, S.; Dionisio, M. R.; Banwell, K.] Univ Canterbury, Sch Earth & Environm, Canterbury, New Zealand.
   [Kingham, S.; Dionisio, M. R.] Univ Canterbury, Geospatial Res Inst, Canterbury, New Zealand.
   [Curl, A.] Univ Otago, Dept Populat Hlth, Canterbury, New Zealand.
   [Mackenbach, J. D.] Vrije Univ, Dept Epidemiol & Data Sci, Amsterdam UMC, Amsterdam, Netherlands.
   [Mackenbach, J. D.] Amsterdam UMC, Upstream Team, Amsterdam, Netherlands.
C3 University of Canterbury; University of Canterbury; University of
   Canterbury; University of Canterbury; University of Otago; Vrije
   Universiteit Amsterdam; University of Amsterdam; University of Amsterdam
RP Hobbs, M (corresponding author), Manawa Bldg,276 Antigua St, Canterbury, New Zealand.
EM matt.hobbs@canterbury.ac.nz
OI De Jesus Dionisio, Maria Rita/0000-0002-7660-6186; Mackenbach,
   Joreintje/0000-0002-2783-721X
CR Amore A, 2017, LOCAL ECON, V32, P617, DOI 10.1177/0269094217734326
   Anderson C., 2015, the Guardian
   Anderson I, 2016, LANCET, V388, P131, DOI 10.1016/S0140-6736(16)00345-7
   [Anonymous], 2013, Monitoring Human Rights in the Canterbury Earthquake Recovery
   [Anonymous], 2014, WORLD URBANIZATION P, DOI [10.4054/DemRes.2005.12.9, DOI 10.4054/DEMRES.2005.12.9]
   [Anonymous], 2017, OECD Environmental Performance Review: Korea 2017
   [Anonymous], 2010, How we fund New Zealands transport system
   [Anonymous], 2020, A history of New Zealand 1769-1914
   [Anonymous], 2012, Christchurch Central Recovery Plan: Te Mahere "Maraka Otautahi
   Ardagh MW, 2012, LANCET, V379, P2109, DOI 10.1016/S0140-6736(12)60313-4
   Atkinson J., 2019, NZDEP2018 INDEX DEPR
   Bannister S, 2012, NEW ZEAL J GEOL GEOP, V55, P295, DOI 10.1080/00288306.2012.680475
   Banwell K., 2017, Planning for resilient communities: And every other day: Learning from the Canterbury 2010-2012 earthquake sequence, DOI [10.26021/8224, DOI 10.26021/8224]
   Beaglehole B, 2017, AUST NZ J PUBL HEAL, V41, P70, DOI 10.1111/1753-6405.12625
   Bécares L, 2013, SOC SCI MED, V88, P76, DOI 10.1016/j.socscimed.2013.04.007
   Begg A, 2021, AUST NZ J PUBL HEAL, V45, P158, DOI 10.1111/1753-6405.13054
   Berke PR, 2006, ANN AM ACAD POLIT SS, V604, P192, DOI 10.1177/0002716205285533
   Brand D, 2016, J URBAN DES, V21, P159, DOI 10.1080/13574809.2015.1133231
   Canterbury District Health Board, 2012, Housing, home heating and air quality: a public health perspective
   Canterbury District Health Board, 2011, Christchurch city health profile: Noise
   Canterbury Earthquake Recovery Authority, 2016, Canterbury wellbeing index: June 2015
   Care Quality Commission, 2020, The fundamental standards, 2020'
   Carr J, 2017, CITIES, V70, P73, DOI 10.1016/j.cities.2017.06.009
   CERA, 2013, Land use recovery plan. Te Mahere Whakahaumanu Taone
   Christchurch City Council, 2013, Contextual historical overview: Theme one land and people
   Christchurch City Council, 2012, Share an idea
   Christchurch City Council, 2014, Major cycleways: Activity management plan
   Christchurch City Council, 2011, Draft Central City plan
   Christchurch City Council, 2018, Future projects: Precincts
   Christchurch City Council, 2020, Christchurch cycleways win 'shovel -ready' funding
   Christchurch City Council, 2020, Planning for sea level rise
   Christchurch N. Z., 2017, Out story
   Clausen T, 2009, NOISE HEALTH, V11, P93, DOI 10.4103/1463-1741.50693
   COLLETTE J, 1974, HUM ORGAN, V33, P147, DOI 10.17730/humo.33.2.14828q232u253502
   Coussens J, 2018, GEOPHYS RES LETT, V45, P10323, DOI 10.1029/2018GL078692
   Davie GS, 2007, BMC PUBLIC HEALTH, V7, DOI 10.1186/1471-2458-7-263
   Dionisio M R., 2016, Australasian Journal of Disaster and Trauma Studies, P107
   Dionisio R, 2021, NEW ZEAL GEOGR, V77, P55, DOI 10.1111/nzg.12303
   Dombroski K, 2019, LOCAL ENVIRON, V24, P313, DOI 10.1080/13549839.2019.1567480
   Environment Canterbury | Te Mahere Whakahaumanu Taone, 2013, Draft: Land use recovery plan
   Environment Canterbury | Te Mahere Whakahaumanu Taone, 2018, Water quality trends in Canterbury
   Environment Canterbury | Te Mahere Whakahaumanu Taone, 2021, Home heating measures in my clean air zone
   Environment Canterbury | Te Mahere Whakahaumanu Taone, 2021, Water: Measuring progress
   Environmental Health Indicators New Zealand, 2019, Wood and coal fires
   Exeter DJ, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0181260
   Eze IC, 2020, ENVIRON INT, V144, DOI 10.1016/j.envint.2020.106014
   Finucane ML, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17020482
   Forsyth P., 2008, 2008 geology of the Christchurch area: Scale 1:250,000
   Fowler T, 2015, EUR J PUBLIC HEALTH, V25, P339, DOI 10.1093/eurpub/cku073
   GeoNet, 2020, Geological hazard information for New Zealand
   Gledhill K, 2011, SEISMOL RES LETT, V82, P378, DOI 10.1785/gssrl.82.3.378
   GNS Science, 2011, About us
   Greater Christchurch, 2020, Residents' survey 2020. Greater Christchurch 2050. Results snapshot
   Hales S, 2000, AUST NZ J PUBL HEAL, V24, P89, DOI 10.1111/j.1467-842X.2000.tb00731.x
   Hayward BM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05947-180437
   Hickey B., 2020, NZ can build enough affordable homes-Christchurch proves it
   Hobbs M., 2019, Investigating the rates and spatial distribution of childhood ambulatory sensitive hospitalisations in New Zealand
   Hobbs M, 2019, LANCET, V394, P1613, DOI 10.1016/S0140-6736(19)30044-3
   Hobbs M, 2019, INT J PUBLIC HEALTH, V64, P625, DOI 10.1007/s00038-019-01239-8
   Hogg D, 2016, HEALTH PLACE, V41, P78, DOI 10.1016/j.healthplace.2016.08.002
   Hogg D, 2016, SOC SCI MED, V152, P18, DOI 10.1016/j.socscimed.2016.01.025
   Hong R. J., 2013, Social Impact Research Experience (SIRE), P18
   Howard E., 1902, Garden Cities of To-Morrow
   Jatrana S, 2009, HEALTH POLICY, V93, P1, DOI 10.1016/j.healthpol.2009.05.006
   Kerdemelidis M., 2019, Wellbeing recovery after mass shootings: Information for the response to the Christchurch mosque attacks 2019: A rapid literature review
   Kiddle R., 2014, Once in a lifetime: City-building after disaster in Christchurch, P221
   King A, 2014, EARTHQ SPECTRA, V30, P475, DOI 10.1193/022813EQS058M
   Lambert S., 2014, AUSTRALASIAN J DISAS, V18, P39
   Lange R., 2018, Te hauora Maori i mua-history of Maori health
   Little TA, 2005, GEOL SOC AM BULL, V117, P707, DOI 10.1130/B25500.1
   Lock Sarah, 2012, PLoS Curr, V4, DOI 10.1371/currents.dis.a9b76fed1b2dd5c5bfcfc13c87a2f24f
   Macfarlane S., 2015, Sociocultural Realities: Exploring New Horizons, P52
   Mackenbach J. D., 2019, Personal picture taken in 2019 of the Tasman braided river
   Mackenbach J. D., 2019, JD
   Mackenbach J. D., 2013, Personal pictures taken in 2013 after the Christchurch Earthquake Sequence
   Marek L, 2021, EUR J PUBLIC HEALTH, V31, P561, DOI 10.1093/eurpub/ckaa225
   Marek L, 2020, NEW ZEAL MED J, V133, P121
   Matapopore, 2021, Matapopore
   McClymont W., 1940, The exploration of New Zealand
   MEMON PA, 1995, ENVIRON PLANN B, V22, P109, DOI 10.1068/b220109
   Ministry for the Environment &amp Statistics New Zealand, 2018, Our air 2018
   Ministry of Health, 2017, Maori health models-Te Pae Mahutonga
   Ministry of Health, 2015, Independent life expectancy in New Zealand 2013
   Minority Rights Group International, 2015, STATE WORLDS MINORIT
   Mitchell A., 1972, The half-gallon quarter-acre pavlova paradise
   Moore T., 2015, The Transitional City
   Morgan J, 2015, INT J DISAST RISK RE, V14, P96, DOI 10.1016/j.ijdrr.2015.01.012
   Münzel T, 2018, ANTIOXID REDOX SIGN, V28, P873, DOI 10.1089/ars.2017.7118
   Mutu M., 2010, Wheeping waters: The Treaty of Waitangi and Constitutional Change, P19
   National Film Unit, 1952, Christchurch Garden City of New Zealand (1952)
   New Zealand Transport Agency, 2018, Urban cycleways programme
   Ngai Tahu Maori Trust Board, 1991, WAI 27: Ngai Tahu land report
   Pearce J, 2008, ENVIRON PLANN A, V40, P2469, DOI 10.1068/a409
   Pearce J, 2007, INT J EPIDEMIOL, V36, P348, DOI 10.1093/ije/dyl267
   Pearce J, 2006, ENVIRON PLANN A, V38, P919, DOI 10.1068/a37446
   Phibbs S, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15050916
   Pickles K., 2021, The Conversation
   Pickles Katie., 2016, Christchurch Ruptures
   Pierce J, 2011, T I BRIT GEOGR, V36, P54, DOI 10.1111/j.1475-5661.2010.00411.x
   Pool I., 2018, Taupori Maori-Maori population change-Population changes, 1769-1840
   Potter SH, 2015, INT J DISAST RISK RE, V14, P6, DOI 10.1016/j.ijdrr.2015.01.014
   Prendergast T., 2016, Architecture Now
   Reid J., 2017, COLONIZING ENV AETIO
   Ryks J, 2016, NEW ZEAL GEOGR, V72, P28, DOI 10.1111/nzg.12113
   Statistics New Zealand, 2020, NZ.Stat table viewer
   Statistics New Zealand, 2018, Canterbury rebuild seven years on
   Statistics New Zealand, 2006, HIST SURV NZ COH LIF
   Statistics NZ, 2020, 2018 CENS PLAC SUMM
   Stevens K, 2017, J PAC HIST, V52, P135, DOI 10.1080/00223344.2017.1366820
   Tau T.M., 2016, Grand Narrative. Christchurch: Canterbury Earthquake Recovery Authority
   Te Runanga o Ngai Tahu (TRoNT), 2020, Annual report 2019-2020
   Teng AM, 2017, LANCET PLANET HEALTH, V1, pE242, DOI [10.1016/S2542-5196(17)30101-8, 10.1016/s2542-5196(17)30101-8]
   Thornley L, 2015, KOTUITUI, V10, P23, DOI 10.1080/1177083X.2014.934846
   Tonkin & Taylor, 2021, Canterbury earthquake sequence
   Tudor R, 2021, CRIT POLICY STUD, V15, P311, DOI 10.1080/19460171.2020.1842221
   Tudor R, 2020, BRIT J SOC WORK, V50, P1457, DOI 10.1093/bjsw/bcz140
   Tupuola A., 2007, EXP GROUP M URB IND
   Waka Nga Mata, 2015, Te Kowatawata: the dawn of a new city
   Wang ZQ, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101309
   White V., 2017, BRANZ Study Report SR372
   Whitehead J, 2019, RURAL REMOTE HEALTH, V19, DOI 10.22605/RRH5349
   Wilson J, 2005, Contextual historical overview for Christchurch City 2005
   Witten K, 2003, URBAN STUD, V40, P161, DOI 10.1080/00420980220080221
NR 123
TC 8
Z9 8
U1 8
U2 9
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD FEB
PY 2022
VL 121
AR 103481
DI 10.1016/j.cities.2021.103481
PG 16
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA VN8AE
UT WOS:001198196600002
DA 2025-04-22
ER

PT J
AU Amer, L
   Erkoc, M
   Feagin, RA
   Kameshwar, S
   Mach, KJ
   Mitsova, D
AF Amer, Lamis
   Erkoc, Murat
   Feagin, Rusty A.
   Kameshwar, Sabarethinam
   Mach, Katharine J.
   Mitsova, Diana
TI Measuring Resilience to Sea-Level Rise for Critical Infrastructure
   Systems: Leveraging Leading Indicators
SO JOURNAL OF MARINE SCIENCE AND ENGINEERING
LA English
DT Review
DE leading indicators; resilience measures; structure-based resilience;
   critical infrastructure; adaptation; sea-level rise; climate adaptation
ID STRUCTURAL VULNERABILITY ASSESSMENT; CLIMATE-CHANGE; TRANSPORT
   INFRASTRUCTURE; SEDIMENT CONNECTIVITY; INTEGRATED ASSESSMENT;
   URBAN-TRANSPORTATION; SEAWATER INTRUSION; NETWORK ANALYSIS; IMPACTS;
   ADAPTATION
AB There has been a growing interest in research on how to define and build indicators of resilience to address challenges associated with sea-level rise. Most of the proposed methods rely on lagging indicators constructed based on the historical performance of an infrastructure sub-system. These indicators are traditionally utilized to build curves that describe the past response of the sub-system to stressors; these curves are then used to predict the future resilience of the sub-system to hypothesized events. However, there is now a growing concern that this approach cannot provide the best insights for adaptive decision-making across the broader context of multiple sub-systems and stakeholders. As an alternative, leading indicators that are built on the structural characteristics that embody system resilience have been gaining in popularity. This structure-based approach can reveal problems and gaps in resilience planning and shed light on the effectiveness of potential adaptation activities. Here, we survey the relevant literature for these leading indicators within the context of sea-level rise and then synthesize the gained insights into a broader examination of the current research challenges. We propose research directions on leveraging leading indicators as effective instruments for incorporating resilience into integrated decision-making on the adaptation of infrastructure systems.
C1 [Amer, Lamis; Erkoc, Murat] Univ Miami, Dept Ind & Syst Engn, Coral Gables, FL 33146 USA.
   [Feagin, Rusty A.] Texas A&M Univ, Dept Ecol & Conservat Biol, College Stn, TX 77843 USA.
   [Feagin, Rusty A.] Texas A&M Univ, Dept Ocean Engn, College Stn, TX 77843 USA.
   [Kameshwar, Sabarethinam] Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA 70803 USA.
   [Mach, Katharine J.] Univ Miami, Rosenstiel Sch Marine Atmospher & Earth Sci & Leon, Dept Environm Sci & Policy, Miami, FL 33149 USA.
   [Mach, Katharine J.] Univ Miami, Jayne Abess Ctr Ecosyst Sci & Policy, Miami, FL 33149 USA.
   [Mitsova, Diana] Florida Atlantic Univ, Dept Urban & Reg Planning, Boca Raton, FL 33431 USA.
C3 University of Miami; Texas A&M University System; Texas A&M University
   College Station; Texas A&M University System; Texas A&M University
   College Station; Louisiana State University System; Louisiana State
   University; University of Miami; University of Miami; State University
   System of Florida; Florida Atlantic University
RP Erkoc, M (corresponding author), Univ Miami, Dept Ind & Syst Engn, Coral Gables, FL 33146 USA.
EM lxa659@miami.edu; merkoc@miami.edu; feaginr@tamu.edu;
   skameshwar1@lsu.edu; kmach@miami.edu; dmitsova@fau.edu
RI Kameshwar, Sabarethinam/J-2921-2019
OI Mach, Katharine/0000-0002-5591-8148; Kameshwar,
   Sabarethinam/0000-0003-0205-8022; Erkoc, Murat/0000-0002-9626-1592
FU National Science Foundation (NSF) [2115275]
FX This research was funded by National Science Foundation (NSF), grant
   number 2115275.
CR Abuodha Pamela A. O., 2010, Journal of Coastal Conservation, V14, P189, DOI 10.1007/s11852-010-0097-0
   Agathokleous A, 2017, WATER RESOUR MANAG, V31, P4007, DOI 10.1007/s11269-017-1721-7
   Amarasinghe P, 2016, J HYDROL, V540, P1043, DOI 10.1016/j.jhydrol.2016.07.021
   Amer L., 2023, OPERATIONALIZING RES
   [Anonymous], 2015, SC080039R7 ENV AG
   Antle JM, 2004, CLIMATIC CHANGE, V64, P289, DOI 10.1023/B:CLIM.0000025748.49738.93
   Armstrong Amit, 2014, ICSI 2014 - Creating Infrastructure for a Sustainable World. Proceedings of the 2014 International Conference on Sustainable Infrastructure, P150
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Asseng S., 2014, Simulation modeling: Applications in cropping systems
   Ayyub BM, 2012, RISK ANAL, V32, P1901, DOI 10.1111/j.1539-6924.2011.01710.x
   de Almeida BA, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8111115
   Bai H, 2015, IET GENER TRANSM DIS, V9, P1324, DOI 10.1049/iet-gtd.2014.1016
   Balaei B, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102077
   Balijepalli C, 2014, J TRANSP GEOGR, V39, P145, DOI 10.1016/j.jtrangeo.2014.06.025
   Beccari Benjamin, 2016, PLoS Curr, V8, DOI 10.1371/currents.dis.453df025e34b682e9737f95070f9b970
   Bhamidipati S, 2015, TRANSP RES PROC, V8, P17, DOI 10.1016/j.trpro.2015.06.038
   Bierkandt R, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124022
   Bles T, 2016, TRANSP RES PROC, V14, P58, DOI 10.1016/j.trpro.2016.05.041
   Blumenau A., 2011, EFFECTS SEA LEVEL RI
   Brown S, 2014, CLIMATIC CHANGE, V122, P81, DOI 10.1007/s10584-013-0996-9
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruun P., 1954, Coast Erosion and the Development of Beach Profiles
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Buzzanga B., 2017, Precipitation and Sea Level Rise Impacts on Groundwater Levels in Virginia Beach
   Candelieri A, 2015, ENVIRON ENG MANAG J, V14, P1261, DOI 10.30638/eemj.2015.136
   Cao A, 2020, NAT HAZARDS, V103, P885, DOI 10.1007/s11069-020-04017-5
   Catanese A.J., 2006, CHARTING COURSE IS S
   Cavalli M, 2013, GEOMORPHOLOGY, V188, P31, DOI 10.1016/j.geomorph.2012.05.007
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/NCLIMATE2153, 10.1038/nclimate2153]
   Champagne C, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11040372
   Chang SE, 2001, TRANSPORT RES A-POL, V35, P475, DOI 10.1016/S0965-8564(00)00003-3
   Chaudry M., 2011, BUILDING RESILIENT U
   Chen X, 1999, APPL GEOGR, V19, P69, DOI 10.1016/S0143-6228(98)00035-6
   Chen XZ, 2015, TRANSPORT RES REC, P37, DOI 10.3141/2532-05
   Chifflard P, 2018, J HYDROL HYDROMECH, V66, P1, DOI 10.1515/johh-2017-0037
   Cho H., 2017, International Journal of Safety and Security Engineering, V7, P352, DOI [10.2495/SAFE-V7-N3-352-360, DOI 10.2495/SAFE-V7-N3-352-360]
   Chughtai F, 2008, J PERFORM CONSTR FAC, V22, P333, DOI 10.1061/(ASCE)0887-3828(2008)22:5(333)
   Ciscar JC, 2014, ENERG ECON, V46, P531, DOI 10.1016/j.eneco.2014.07.003
   Cooper JAG, 2004, GLOBAL PLANET CHANGE, V43, P157, DOI 10.1016/j.gloplacha.2004.07.001
   Corley H. W., 1982, Operations Research Letters, V1, P157, DOI 10.1016/0167-6377(82)90020-7
   Creaco E, 2015, WATER SCI TECH-W SUP, V15, P1253, DOI 10.2166/ws.2015.091
   Cuadra L, 2015, ENERGIES, V8, P9211, DOI 10.3390/en8099211
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Dawson D, 2016, J TRANSP GEOGR, V51, P97, DOI 10.1016/j.jtrangeo.2015.11.009
   Demirel H, 2015, TRANSPORT RES A-POL, V81, P62, DOI 10.1016/j.tra.2015.05.002
   Dewenter T, 2015, NEW J PHYS, V17, DOI 10.1088/1367-2630/17/1/015005
   Douxchamps Sabine, 2017, World Development Perspectives, V5, P10, DOI 10.1016/j.wdp.2017.02.001
   Eijgenraam C, 2014, INTERFACES, V44, P7, DOI 10.1287/inte.2013.0721
   Eum HI, 2012, WATER RESOUR MANAG, V26, P3785, DOI 10.1007/s11269-012-0103-4
   Fan WL, 2016, IET GENER TRANSM DIS, V10, P3940, DOI 10.1049/iet-gtd.2016.0692
   Fang JK, 2018, IEEE T SMART GRID, V9, P777, DOI 10.1109/TSG.2016.2565619
   FEMA, 2009, Multi-Hazard Loss Estimation Methodology, Flood Model, Hazus-MH Technical Manual
   Friedrich E, 2012, WATER SA, V38, P755, DOI 10.4314/wsa.v38i5.15
   Garner GG, 2018, ENVIRON MODELL SOFTW, V107, P96, DOI 10.1016/j.envsoft.2018.05.006
   Gasser P, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105731
   Genovese E, 2015, J RISK RES, V18, P407, DOI 10.1080/13669877.2014.896400
   Geurs K. T., 2004, Journal of Transport Geography, V12, P127, DOI DOI 10.1016/J.JTRANGEO.2003.10.005
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Goodwin P.B., 1992, Traffic Engineering and Control, V33, P661
   Gornitz V.M., 1990, J COASTAL RES, VSI 9, P201, DOI [10.1007/s10661-017-6282-y, DOI 10.1007/S10661-017-6282-Y]
   Gupta E, 2008, ENERG POLICY, V36, P1195, DOI 10.1016/j.enpol.2007.11.011
   HANKS RJ, 1978, IRRIGATION SCI, V1, P47, DOI 10.1007/BF00269007
   HANSEN WG, 1959, J AM I PLANNERS, V25, P73, DOI 10.1080/01944365908978307
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Hay J. E., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P717, DOI 10.1007/s11027-005-7305-5
   Hély V, 2019, SUSTAIN CITIES SOC, V44, P844, DOI 10.1016/j.scs.2018.10.035
   Hinze J, 2013, SAFETY SCI, V51, P23, DOI 10.1016/j.ssci.2012.05.016
   Hoghooghi N, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0256606
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hsu NS, 2008, ADV WATER RESOUR, V31, P776, DOI 10.1016/j.advwatres.2008.01.009
   Hummel MA, 2018, EARTHS FUTURE, V6, P622, DOI 10.1002/2017EF000805
   Idier D, 2013, NAT HAZARD EARTH SYS, V13, P999, DOI 10.5194/nhess-13-999-2013
   Jafino BA, 2021, TRANSPORT RES A-POL, V144, P204, DOI 10.1016/j.tra.2020.12.013
   Kahlown MA, 2002, IRRIG DRAIN, V51, P329, DOI 10.1002/ird.62
   Kalantari Z, 2019, SCI TOTAL ENVIRON, V661, P393, DOI 10.1016/j.scitotenv.2019.01.009
   Karamouz M, 2016, J HYDROINFORM, V18, P990, DOI 10.2166/hydro.2016.084
   Kermanshah A, 2017, NAT HAZARDS, V86, P151, DOI 10.1007/s11069-016-2678-1
   Ketabchi H, 2016, J HYDROL, V535, P235, DOI 10.1016/j.jhydrol.2016.01.083
   Kim S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111883
   Knott JF, 2018, TRANSPORT RES REC, V2672, P11, DOI 10.1177/0361198118757441
   Koç Y, 2014, IEEE INT C NETW SENS, P386, DOI 10.1109/ICNSC.2014.6819657
   Kopp RE, 2019, EARTHS FUTURE, V7, P1235, DOI 10.1029/2018EF001145
   Kopp RE, 2016, P NATL ACAD SCI USA, V113, pE1434, DOI 10.1073/pnas.1517056113
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Krol MS, 2011, WATER RESOUR MANAG, V25, P3017, DOI 10.1007/s11269-011-9787-0
   Kruyt B, 2009, ENERG POLICY, V37, P2166, DOI 10.1016/j.enpol.2009.02.006
   Kundzewicz ZW, 2008, HYDROLOG SCI J, V53, P3, DOI 10.1623/hysj.53.1.3
   Leobons CM, 2019, TRANSP RES PROC, V37, P322, DOI 10.1016/j.trpro.2018.12.199
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Li MT, 2015, ESTUAR COAST SHELF S, V156, P52, DOI 10.1016/j.ecss.2014.07.007
   Li T, 2012, INT J LIFE CYCLE ASS, V17, P593, DOI 10.1007/s11367-012-0394-y
   Liu DD, 2012, WATER RESOUR MANAG, V26, P3743, DOI 10.1007/s11269-012-0100-7
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   Lobo-Ferreira J.P., 2005, The fourth Inter-Celtic colloquium on hydrology anf management of water resources, Guimaraes Portugal July11-14, P1, DOI [10.1016/j.jhydrol.2005.02.014, DOI 10.1017/CBO9781107415324.004]
   López E, 2008, EUR PLAN STUD, V16, P277, DOI 10.1080/09654310701814629
   Lu QC, 2015, J TRANSP ENG, V141, DOI 10.1061/(ASCE)TE.1943-5436.0000743
   Maas E. V., 1977, Journal of the Irrigation and Drainage Division, American Society of Civil Engineers, V103, P115
   Maiolo M, 2018, WATER-SUI, V10, DOI 10.3390/w10081005
   Mall RK, 2017, CURRENT DEVELOPMENTS IN BIOTECHNOLOGY AND BIOENGINEERING: CROP MODIFICATION, NUTRITION, AND FOOD PRODUCTION, P23, DOI 10.1016/B978-0-444-63661-4.00002-5
   Manik SMN, 2019, FRONT PLANT SCI, V10, DOI [10.3389/fpls.2019.00140, 10.3389/fneur.2019.00784]
   Mehran A, 2015, J GEOPHYS RES-ATMOS, V120, P7520, DOI 10.1002/2015JD023147
   Messner S., 2013, WIT Trans. Ecology Environ., V169, P141, DOI [10.2495/CP130131, DOI 10.2495/CP130131]
   Molyneaux L, 2012, ENERG POLICY, V47, P188, DOI 10.1016/j.enpol.2012.04.057
   Montgomery M, 2018, RISK ANAL, V38, P2275, DOI 10.1111/risa.13127
   Nik VM, 2021, NATL SCI REV, V8, DOI 10.1093/nsr/nwaa134
   Noland RB, 2019, TRANSPORT RES D-TR E, V77, P560, DOI 10.1016/j.trd.2019.09.017
   Nursey-Bray M, 2013, J ENVIRON PLANN MAN, V56, P1021, DOI 10.1080/09640568.2012.716363
   OECD, 2008, Handbook on Constructing Composite Indicators: Methodology and User Guide, DOI [DOI 10.1787/9789264043466-EN, 10.1787/9789264043466-EN]
   Panteli M, 2017, IEEE T POWER SYST, V32, P4732, DOI 10.1109/TPWRS.2017.2664141
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Pedrozo-Acuña A, 2017, TRANSPORT RES D-TR E, V50, P182, DOI 10.1016/j.trd.2016.11.004
   Peeta S, 2010, COMPUT OPER RES, V37, P1708, DOI 10.1016/j.cor.2009.12.006
   Peñaloza GA, 2020, SAFETY SCI, V130, DOI 10.1016/j.ssci.2020.104864
   Pepyne DL, 2007, J SYST SCI SYST ENG, V16, P202, DOI 10.1007/s11518-007-5044-8
   Pinto J, 2010, WATER RESOUR MANAG, V24, P4237, DOI 10.1007/s11269-010-9655-3
   Poon Y., 2011, COASTAL ENG PRACTICE, P373
   Poulter B, 2008, J HYDROL, V357, P207, DOI 10.1016/j.jhydrol.2008.05.022
   Prasad TD, 2004, J WATER RES PLAN MAN, V130, P73, DOI 10.1061/(ASCE)0733-9496(2004)130:1(73)
   Raje D, 2010, ADV WATER RESOUR, V33, P312, DOI 10.1016/j.advwatres.2009.12.008
   Ren K, 2020, J CLEAN PROD, V252, DOI 10.1016/j.jclepro.2019.119806
   Renschler CS., 2010, A framework for defining and measuring resilience at the community scale: The PEOPLES resilience framework
   Rial-Lovera K, 2017, J SCI FOOD AGR, V97, P17, DOI 10.1002/jsfa.7767
   Rinaldi M, 2014, ADV AGRON, V123, P229, DOI 10.1016/B978-0-12-420225-2.00006-6
   Rodina L, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1334
   Roege PE, 2014, ENERG POLICY, V72, P249, DOI 10.1016/j.enpol.2014.04.012
   Romanazzi A, 2015, ENVIRON EARTH SCI, V74, P115, DOI 10.1007/s12665-015-4423-6
   Rossato L, 2017, FRONT ENV SCI-SWITZ, V5, DOI 10.3389/fenvs.2017.00073
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Sadler JM, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000397
   Sathaye J., 2012, ESTIMATING RISK CALI
   Schaeffer R, 2012, ENERGY, V38, P1, DOI 10.1016/j.energy.2011.11.056
   Scott DM, 2006, J TRANSP GEOGR, V14, P215, DOI 10.1016/j.jtrangeo.2005.10.003
   Sellberg MM, 2018, J ENVIRON MANAGE, V217, P906, DOI 10.1016/j.jenvman.2018.04.012
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Shafieezadeh A, 2014, IEEE T POWER DELIVER, V29, P131, DOI 10.1109/TPWRD.2013.2281265
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shaw J., 1994, COASTAL ZONE, P2377
   Shields GM, 2016, PROCEDIA ENGINEER, V145, P340, DOI 10.1016/j.proeng.2016.04.086
   Shin S, 2018, WATER-SUI, V10, DOI 10.3390/w10020164
   Shirazi YA, 2019, J ENVIRON MANAGE, V244, P228, DOI 10.1016/j.jenvman.2019.04.056
   Small C., 2000, Environ. Geosci, V7, P3, DOI DOI 10.1046/J.1526-0984.2000.71005.X
   Snoussi M, 2009, GEOMORPHOLOGY, V107, P32, DOI 10.1016/j.geomorph.2006.07.043
   Sohn J, 2006, TRANSPORT RES A-POL, V40, P491, DOI 10.1016/j.tra.2005.08.006
   Stirling A, 2010, ENERG POLICY, V38, P1622, DOI 10.1016/j.enpol.2009.02.023
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   Sun WJ, 2020, SUSTAIN RESIL INFRAS, V5, P168, DOI 10.1080/23789689.2018.1448663
   Tachaudomdach S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063172
   Tariq H, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102358
   Taylor M., 2008, P AUSTR TRANSP RES F, VVolume 31
   Thieler E.R., 1999, National Assessment of Coastal Vulnerability to Sea-Level Rise, DOI 10.3133/ofr99593
   Thilakarathne M, 2017, WEATHER CLIM EXTREME, V17, P47, DOI 10.1016/j.wace.2017.07.004
   Thuy NN., 2015, International Journal on Advanced Science, Engineering and Information Technology, DOI [DOI 10.18517/IJASEIT.5.4.545, 10.18517/ijaseit.5.4.545]
   Todini E., 2000, Urban Water, V2, P115, DOI [10.1016/S1462-0758, DOI 10.1016/S1462-0758, 10.1016/S1462-0758(00)00049-2, DOI 10.1016/S1462-0758(00)00049-2, 10.1016/s1462-0758(00)00049-2]
   Tonmoy FN, 2014, SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON, P2407
   Valenzuela YB, 2017, INTERNATIONAL CONFERENCE ON SUSTAINABLE INFRASTRUCTURE 2017: TECHNOLOGY, P349
   Verruijt A., 1968, INT ASSCI HYDROL B, V13, P43, DOI [10.1080/02626666809493624, DOI 10.1080/02626666809493624]
   Wang CH, 2009, J WATER RES PLAN MAN, V135, P528, DOI 10.1061/(ASCE)0733-9496(2009)135:6(528)
   Watkiss P, 2012, CLIMATIC CHANGE, V112, P101, DOI 10.1007/s10584-011-0342-z
   Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
   Werner AD, 2012, GROUND WATER, V50, P48, DOI 10.1111/j.1745-6584.2011.00817.x
   Werner AD, 2009, GROUND WATER, V47, P197, DOI 10.1111/j.1745-6584.2008.00535.x
   Wright R, 2015, PROCEDIA ENGINEER, V119, P1249, DOI 10.1016/j.proeng.2015.08.987
   WU X, 1993, CIVIL ENG SYST, V10, P301, DOI 10.1080/02630259308970130
   Xu XD, 2018, TRANSPORT RES B-METH, V114, P68, DOI 10.1016/j.trb.2018.05.014
   Yazdani A, 2011, ENVIRON MODELL SOFTW, V26, P1574, DOI 10.1016/j.envsoft.2011.07.016
   Zhang C, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030397
   Zimmerman R, 2010, ANN NY ACAD SCI, V1196, P63, DOI 10.1111/j.1749-6632.2009.05318.x
NR 167
TC 4
Z9 4
U1 4
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-1312
J9 J MAR SCI ENG
JI J. Mar. Sci. Eng.
PD JUL
PY 2023
VL 11
IS 7
AR 1421
DI 10.3390/jmse11071421
PG 28
WC Engineering, Marine; Engineering, Ocean; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA N3LV6
UT WOS:001036077500001
OA gold
DA 2025-04-22
ER

PT J
AU McPhearson, T
   Hamstead, ZA
   Kremer, P
AF McPhearson, Timon
   Hamstead, Zoe A.
   Kremer, Peleg
TI Urban Ecosystem Services for Resilience Planning and Management in New
   York City
SO AMBIO
LA English
DT Article
DE Urban ecosystem services; Urban planning; Management; Scale; New York
   City
ID CAPACITY; SYSTEMS; STATE; MODEL
AB We review the current state of knowledge about urban ecosystem services in New York City (NYC) and how these services are regulated, planned for, and managed. Focusing on ecosystem services that have presented challenges in NYC-including stormwater quality enhancement and flood control, drinking water quality, food provisioning and recreation-we find that mismatches between the scale of production and scale of management occur where service provision is insufficient. Adequate production of locally produced services and services which are more accessible when produced locally is challenging in the context of dense urban development that is characteristic of NYC. Management approaches are needed to address scale mismatches in the production and consumption of ecosystem services. By coordinating along multiple scales of management and promoting best management practices, urban leaders have an opportunity to ensure that nature and ecosystem processes are protected in cities to support the delivery of fundamental urban ecosystem services.
C1 [McPhearson, Timon; Kremer, Peleg] New Sch, Tishman Environm & Design Ctr, New York, NY 10003 USA.
   [Hamstead, Zoe A.] New Sch, Milano Sch Int Affairs Management & Urban Policy, New York, NY 10003 USA.
C3 The New School; The New School
RP McPhearson, T (corresponding author), New Sch, Tishman Environm & Design Ctr, 79 Fifth Ave,16th Fl, New York, NY 10003 USA.
EM mcphearp@newschool.edu; hamsz235@newschool.edu; kremerp@newschool.edu
RI Kremer, Peleg/H-8373-2019; McPhearson, Timon/JOZ-3799-2023
OI McPhearson, Timon/0000-0002-9499-0791; kremer,
   peleg/0000-0001-6844-5557; Hamstead, Zoe/0000-0003-4104-2373
FU Tishman Environment and Design Center at The New School; Urban
   Biodiversity and Ecosystem Services Project
FX This project was supported by the Tishman Environment and Design Center
   at The New School and the Urban Biodiversity and Ecosystem Services
   Project (http://urbesproject.org/).
CR Ackerman K., 2012, POTENTIAL URBAN AGR
   Added Value, 2013, US OV MISS
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   [Anonymous], 2010, NY TIMES
   [Anonymous], REP PUBL US CENTR PA
   [Anonymous], 2007, Rand Corporation evaluation of New York Citys School-Wide Performance Bonus Program (SPBP)
   [Anonymous], 2010, PLANYC SUST STORMW M
   [Anonymous], 2011, NY TIMES
   Appleton A.F., 2002, KAT C NEW YORK CIT
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Brannen S., 2011, FOOD WORKS VISION IM
   Bronx River Alliance, AB US
   Brown T., 2011, IS WATER SEWAGE CONT
   Cadenasso ML, 2007, FRONT ECOL ENVIRON, V5, P80, DOI 10.1890/1540-9295(2007)5[80:SHIUER]2.0.CO;2
   Catskill Watershed Corporation, 2013, STORMW PROGR
   Chandler T, 1987, Four Thousand Years of Urban Growth: an Historical Census
   City New York, 2008, PLANYC SUST STORMW M
   City of New York, 2006, NEW YORK CIT POP PRO
   City of New York, 2011, PLANYC UPD APR 2011
   City of New York Parks and Recreation, 2013, SCHOOL PLAYG
   City of New York Parks and Recreation, 2012, BEACH
   Clancy K., 2010, CHOICES MAGAZINE FOO, V25
   Cohen N., 2012, 5 BOROUGH FARM SEEDI
   Crossman ND, 2013, ECOSYST SERV, V4, P4, DOI 10.1016/j.ecoser.2013.02.001
   Eastern Queens Alliance, 2013, SPEC MISS ENV OP SOU
   EcoStation: NY Inc, 2013, ECOSTATION NY FOOD J
   EPA Region 2, 2011, NEW YORK CIT WAT
   Faeth SH, 2011, ANN NY ACAD SCI, V1223, P69, DOI 10.1111/j.1749-6632.2010.05925.x
   Farming Concrete, 2011, FARM CONCR 2011 HARV
   Flores A, 1998, LANDSCAPE URBAN PLAN, V39, P295, DOI 10.1016/S0169-2046(97)00084-4
   Gittleman M., 2010, Community Garden Survey, New York City, Results 2009/2010
   Gomez-Baggethun Erik, 2013, P175
   Gordon C, 2011, HEALTH PLACE, V17, P696, DOI 10.1016/j.healthplace.2010.12.012
   Green Guerillas, 2013, OUR PROGR
   Grove J.M., 2006, REPORT NEW YORK CITY
   Harlem Grow, 2012, AB US
   Hough M., 2004, CITIES NATURAL PROCE
   Howard Ebenezer., 1965, Garden Cities of Tomorrow
   Howarth RW, 2000, ECOSYSTEMS, V3, P210, DOI 10.1007/s100210000020
   Hudson River Foundation, 2013, NEW YORK CIT ENV FUN
   Jacobs J., 1961, DEATH LIFE GT AM CIT
   Kloppenburg J, 2000, HUM ORGAN, V59, P177, DOI 10.17730/humo.59.2.8681677127123543
   Kremen C, 2005, ECOL LETT, V8, P468, DOI 10.1111/j.1461-0248.2005.00751.x
   Kremer P, 2013, LANDSCAPE URBAN PLAN, V120, P218, DOI 10.1016/j.landurbplan.2013.05.003
   Kurlansky Mark., 2006, BIG OYSTER HIST HALF
   Lobo A.P., 2004, NEWEST NEW YORKERS 2
   Mackun P., 2010, Population Distribution and Change: 2000 to 2010
   Mayor's Office of Long-Term Planning and Sustainability and New York City, 2012, NEW YORK CIT WETL ST
   McHarg I.L., 1992, DESIGN NATURE, V1
   McPhearson P.T., 2011, SUSTAINABILITY AMERI, P181, DOI DOI 10.5822/978-1-61091-028-6_9
   McPhearson T., 2013, Trans-disciplinary Perspectives, P193
   McPhearson Timon, 2013, P279
   Miller Cyrus., 1913, REPORT MAYORS MARKET
   MillionTreesNYC, 2012, GETT MILL TREES TARG
   Monger R., 2011, US LEG PERM RES
   *NAT RES COUNC, 2000, WAT MAN POT WAT SUPP
   National Park Service, 2013, THINGS DO JAM BAY
   New York City, 2007, PLANYC GREEN GREAT N
   New York City Department of City Planning, 2002, NEW WAT REV PROGR
   New York City Department of City Planning, 2013, NEW YORK CIT LAND US
   New York City Watershed Memorandum of Agreement, 1997, NEW YORK CIT WAT MEM
   New York/New Jersey Harbor & Estuary Program, 2011, NEW YORK NEW JERS HA
   New York Restoration Project, 2013, MILLIONTREESNYC
   New York Sea Grant, 2001, EC CONTR SPORT FISH
   New York State Department of Environmental Conservation, 2010, NEW YORK STAT IND TI
   Newtown Creek Alliance, MISS
   North Shore Waterfront Conservancy of Staten Island, MISS STAT
   Nowak D. J., 2007, RESOURCE B NRS
   NY/NJ Baykeeper, 2009, AB US
   NYC Coalition against Hunger, 2013, HUNG NEW YORK CIT
   NYC Comprehensive Waterfront Plan, 2011, VIS 2020 NEW YORK CI
   NYC Department of Education, 2013, GROW LEARN CIT SCH G
   NYC Department of Health and Mental Hygiene, 2004, HLTH DISPARITIES NEW
   NYC Environmental Protection, 2010, NYC GREEN INFR PLAN
   NYC Environmental Protection, 2010, DRINK WAT SUPPL QUAL
   NYC Mayor's Office of Environmental Coordination, 2013, OP SPAC MAPS
   NYC Soil and Water Conservation District, 2013, RES CONS DEV WHOL MA
   NYC Soil and Water Conservation District, STORMW PROGR
   Peters CJ, 2007, RENEW AGR FOOD SYST, V22, P145, DOI 10.1017/S1742170507001767
   Peters CJ, 2009, RENEW AGR FOOD SYST, V24, P72, DOI 10.1017/S1742170508002457
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Pires M, 2004, LAND USE POLICY, V21, P161, DOI 10.1016/j.landusepol.2003.08.001
   Plumb M., 2006, SUSTAINABLE RAINDROP
   Regional Greenhouse Gas Initiative, 2013, AFF
   Riverkeeper, 2013, NYC WAT PROT
   Rockaway Waterfront Alliance, 2013, OUR MISS
   Rosenzweig C., 2009, CLIMATE RISK INFORM
   State of New York Department of Environmental Conservation, 2009, 2009 NEW YORK STAT O
   Stormwater Infrastructure Matters, 2010, AB US
   Sustainable South Bronx, 2013, OUR MISS
   TEEB (The Economics of Ecosystems and Biodiversity), 2011, MAN CIT ECOS SERV UR
   The Battery Conservancy, 2012, BATT URB FARM
   Tidball K.G., 2010, CITIES ENV, V3, P1, DOI DOI 10.15365/CATE.31112010
   Trust for Public Land, 2011, 2011 CIT PARK FACTS
   U.S. Census Bureau, 2010, POP HOUS OCC STAT 20
   U.S. Environmental Protection Agency, 2010, NYC WAT AGR PROGR
   U.S. Environmental Protection Agency, 2001, FREQU ASK QUEST ATM
   United States National Park Service, 2003, EV LEG JAM BAY GAT N
   USDA, 2007, 2007 CENS AGR STAT D
   USDA Forest Service, 2007, NEW YORK CIT NEW YOR
   Vintinner E.C., THIRSTY METROPOLIS C
   Voicu I, 2008, REAL ESTATE ECON, V36, P241, DOI 10.1111/j.1540-6229.2008.00213.x
   Watershed Agricultural Council, 2011, WAT AGR COUNC 2010 A
   Watershed Agricultural Council, 2013, WAT AGR COUNC 2012 A
   Yli-Pelkonen V, 2005, BIODIVERS CONSERV, V14, P1947, DOI 10.1007/s10531-004-2124-7
NR 105
TC 123
Z9 150
U1 12
U2 260
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD MAY
PY 2014
VL 43
IS 4
SI SI
BP 502
EP 515
DI 10.1007/s13280-014-0509-8
PG 14
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA AF0YY
UT WOS:000334442400009
PM 24740621
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Zhang, XC
   Zhang, N
   Zhao, C
   Yu, HZ
   Deng, XP
AF Zhang, Xicheng
   Zhang, Na
   Zhao, Chao
   Yu, Haizhe
   Deng, Xiaopeng
TI Identification of Influencing Variables on Improving Resilience of
   High-Speed Railway System
SO JOURNAL OF ADVANCED TRANSPORTATION
LA English
DT Article
ID ORGANIZATIONAL RESILIENCE; RELIABILITY ASSESSMENT; URBAN RESILIENCE;
   FAULT-DIAGNOSIS; RISK; TRAIN; INFRASTRUCTURE; COMMUNICATION;
   CONSTRUCTION; PROJECTS
AB In recent years, frequent natural disasters have brought great challenges to the stable operation of the high-speed railway (HSR). Improving the resilience of the HSR system is an urgent problem to be solved. This study aims to explore how to improve the resilience of the HSR system. Based on an in-depth literature review and case study, 11 variables and 15 hypothetical paths were proposed. Then the questionnaires were distributed to professionals from academia and industry. A total of 270 valid responses were received. Finally, the structural equation model was used to evaluate these variables' influence degree and their influence path. The results indicated that the infrastructure components (i.e., quality control and equipment operation and maintenance) play a positive role in the persistence ability. The organizational operation and maintenance components (i.e., organizational structure and organizational efficiency) promote the speed of function restoration. The interactive system components (i.e., technical system and system operation and maintenance) also have a positive effect on adaptability and transformability. The three components of HSR system play a positive role in different resilience attributes (i.e., persistence ability, function restoration, adaptability, and transformability), which further positively impacts the effectiveness of improving resilience. Based on the accepted hypothetical paths, five strategies for improving resilience were discussed, such as a certain degree redundancy of key organizations or members, encouragement of self-organized decision-making, and establishment of the "health records" of each HSR line. This study would enrich the theoretical system of resilience and help practitioners better understand the influencing variables and influencing paths of the resilience of the HSR system.
C1 [Zhang, Xicheng; Yu, Haizhe; Deng, Xiaopeng] Southeast Univ, Sch Civil Engn, Nanjing 211189, Peoples R China.
   [Zhang, Na] Zhejiang Sci Tech Univ, Sch Civil Engn & Architecture, Hangzhou 310018, Peoples R China.
   [Zhao, Chao] China Railway Grp Ltd, Beijing 100039, Peoples R China.
C3 Southeast University - China; Zhejiang Sci-Tech University; China
   Railway Engineering Corporation
RP Deng, XP (corresponding author), Southeast Univ, Sch Civil Engn, Nanjing 211189, Peoples R China.
EM 220201399@seu.edu.cn; zstuzn828@zstu.edu.cn; czhao225@wisc.edu;
   220201400@seu.edu.cn; dxp@seu.edu.cn
RI Zhang, Na/IUN-9412-2023; Deng, Xiaopeng/AGE-5078-2022
OI Yu, Haizhe/0009-0008-9970-5735; Deng, Xiaopeng/0000-0002-2987-505X
FU National Natural Science Foundation of China [NSFC-71771052, 72171048]
FX (is study was funded by the National Natural Science Foundation of China
   (NSFC-71771052 and 72171048).
CR Ai BB, 2020, P IEEE, V108, P856, DOI 10.1109/JPROC.2020.2988595
   Andersson T, 2019, SCAND J MANAG, V35, P36, DOI 10.1016/j.scaman.2019.01.001
   Azadeh A, 2018, TRANSP LETT, V10, P12, DOI 10.1080/19427867.2016.1207928
   Bagherpour M, 2020, J CIV ENG MANAG, V26, P524, DOI 10.3846/jcem.2020.12182
   BENTLER PM, 1987, SOCIOL METHOD RES, V16, P78, DOI 10.1177/0049124187016001004
   Bigolin M, 2021, INT J DISASTER RESIL, V12, P1, DOI 10.1108/IJDRBE-04-2020-0024
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Brown C, 2017, INT J CRIT INFR PROT, V18, P37, DOI 10.1016/j.ijcip.2017.05.002
   Bruneau BG, 2003, CLIN GENET, V63, P252, DOI 10.1034/j.1399-0004.2003.00066.x
   Bruyelle JL, 2014, SAFETY SCI, V62, P37, DOI 10.1016/j.ssci.2013.07.022
   Cao Y, 2018, FUTURE GENER COMP SY, V88, P279, DOI 10.1016/j.future.2018.05.038
   Chadwick SG, 2014, SAFETY SCI, V68, P128, DOI 10.1016/j.ssci.2014.03.003
   Chang TY, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11154157
   Chen GX, 2019, INT J CONSTR MANAG, V19, P1, DOI 10.1080/15623599.2017.1354514
   Chen HT, 2020, IEEE T INTELL TRANSP, V21, P450, DOI 10.1109/TITS.2019.2897583
   Chen HH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197910
   Chen RP, 2016, J PERFORM CONSTR FAC, V30, DOI 10.1061/(ASCE)CF.1943-5509.0000789
   Cho K, 2009, EXPERT SYST APPL, V36, P10461, DOI 10.1016/j.eswa.2009.01.032
   Coaffee J, 2017, NATO SCI PEACE SECUR, P359, DOI 10.1007/978-94-024-1123-2_13
   Coetzee C, 2016, DISASTER PREV MANAG, V25, P196, DOI 10.1108/DPM-07-2015-0153
   Dong SC, 2018, J GEOGR SCI, V28, P900, DOI 10.1007/s11442-018-1512-y
   Dressler WH, 2017, ANN AM ASSOC GEOGR, V107, P647, DOI 10.1080/24694452.2016.1261684
   Feng D, 2018, MICROELECTRON RELIAB, V88-90, P1195, DOI 10.1016/j.microrel.2018.06.032
   Feng D, 2017, IEEE T TRANSP ELECTR, V3, P739, DOI 10.1109/TTE.2017.2694800
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Givoni M, 2006, TRANSPORT REV, V26, P593, DOI 10.1080/01441640600589319
   Guo QJ, 2020, RELIAB ENG SYST SAFE, V201, DOI 10.1016/j.ress.2020.106956
   Gustafsson JE, 2002, CONTEMP PSYCHOL, V47, P478
   He M., 2020, PAPER PRESENTED 6 IN
   He QH, 2021, FRONT ENG MANAG, V8, P5, DOI 10.1007/s42524-019-0058-8
   Ho TW, 2016, PROCEDIA ENGINEER, V145, P646, DOI 10.1016/j.proeng.2016.04.055
   HOLLAND JH, 1992, DAEDALUS, V121, P17
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Huang KH, 2019, INT REV SPAT PLAN SU, V7, P4, DOI 10.14246/irspsd.7.3_4
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Janic M, 2016, J MOD TRANSP, V24, P1, DOI 10.1007/s40534-015-0094-y
   Jia X, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101614
   Jiang L, 2016, P I MECH ENG F-J RAI, V230, P295, DOI 10.1177/0954409714541437
   Johnsen SO, 2013, COGN TECHNOL WORK, V15, P95, DOI 10.1007/s10111-011-0187-2
   KAISER HF, 1974, PSYCHOMETRIKA, V39, P31, DOI 10.1007/BF02291575
   Karimpour M, 2018, J ADV TRANSPORT, DOI 10.1155/2018/3096190
   Kirchherr J, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0201710
   Lei S, 2021, J ADV TRANSPORT, V2021, DOI 10.1155/2021/5538320
   Li HQ, 2021, ENG CONSTR ARCHIT MA, V28, P1657, DOI 10.1108/ECAM-04-2020-0232
   Li T, 2020, TRANSPORT RES A-POL, V132, P666, DOI 10.1016/j.tra.2019.12.019
   Li T, 2019, TRANSPORT RES A-POL, V127, P55, DOI 10.1016/j.tra.2019.07.008
   Li YL, 2018, INT J NURS STUD, V88, P79, DOI 10.1016/j.ijnurstu.2018.08.011
   Li ZP, 2017, MECH SYST SIGNAL PR, V85, P512, DOI 10.1016/j.ymssp.2016.08.042
   Lin F, 2021, ADV CIV ENG, V2021, DOI 10.1155/2021/9954018
   Lin S, 2018, QUAL RELIAB ENG INT, V34, P772, DOI 10.1002/qre.2289
   Liu G, 2019, FRONT ENG MANAG, V6, P327, DOI 10.1007/s42524-019-0051-2
   Liu LJ, 2020, MATH BIOSCI ENG, V17, P7302, DOI 10.3934/mbe.2020374
   Lu CF, 2020, TRANSP GEOTECH, V25, DOI 10.1016/j.trgeo.2020.100397
   Lu CF, 2019, FRONT ENG MANAG, V6, P503, DOI 10.1007/s42524-019-0073-9
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Montenegro PA, 2021, ENG STRUCT, V241, DOI 10.1016/j.engstruct.2021.112425
   Mudigonda S, 2019, J TRANSP SAF SECUR, V11, P491, DOI 10.1080/19439962.2018.1436105
   Niu YL, 2021, J INFRASTRUCT SYST, V27, DOI 10.1061/(ASCE)IS.1943-555X.0000645
   Nunes DM, 2019, J ENVIRON MANAGE, V244, P422, DOI 10.1016/j.jenvman.2019.05.027
   Ochman M, 2019, LAT AM POLICY, V10, P144, DOI 10.1111/lamp.12157
   Patriarca R, 2018, SAFETY SCI, V102, P79, DOI 10.1016/j.ssci.2017.10.005
   Peixer MA, 2021, ENG FAIL ANAL, V121, DOI 10.1016/j.engfailanal.2020.105133
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Rehak D, 2018, SYSTEMS, V6, DOI 10.3390/systems6020021
   Sa'adin SLB, 2016, AUST J CIV ENG, V14, P123, DOI 10.1080/14488353.2017.1336895
   Saltzman WR, 2016, FAM PROCESS, V55, P633, DOI 10.1111/famp.12238
   Sgrò CM, 2011, EVOL APPL, V4, P326, DOI 10.1111/j.1752-4571.2010.00157.x
   Sone S, 2015, J ZHEJIANG UNIV-SC A, V16, P769, DOI 10.1631/jzus.A1500220
   Thomas LJ, 2018, NURSE EDUC PRACT, V28, P231, DOI 10.1016/j.nepr.2017.10.001
   UIC, 2020, REF BUS IS ORG
   Sanchis IV, 2020, TRANSPORT RES D-TR E, V82, DOI 10.1016/j.trd.2020.102312
   Wanberg J, 2013, J CONSTR ENG M, V139, DOI 10.1061/(ASCE)CO.1943-7862.0000732
   Wang XH, 2021, J INFRASTRUCT SYST, V27, DOI 10.1061/(ASCE)IS.1943-555X.0000643
   Wen C, 2015, P I MECH ENG F-J RAI, V229, P268, DOI 10.1177/0954409713509978
   Witmer H, 2019, GEND MANAG, V34, P510, DOI 10.1108/GM-10-2018-0127
   Woods DD, 2015, RELIAB ENG SYST SAFE, V141, P5, DOI 10.1016/j.ress.2015.03.018
   Wu YK, 2019, IEEE T SYST MAN CY-S, V49, P2108, DOI 10.1109/TSMC.2017.2757264
   Xie ZY, 2019, ADV MECH ENG, V11, DOI 10.1177/1687814018821511
   Xue YT, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17155307
   Yang XH, 2019, J ADV TRANSPORT, V2019, DOI 10.1155/2019/1279489
   Ye ZJ, 2017, EUR J ONCOL NURS, V27, P9, DOI 10.1016/j.ejon.2017.01.002
   Yin MJ, 2020, TRANSP SAFETY ENV, V2, P247, DOI 10.1093/tse/tdaa022
   Zampieri M, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3375
   Zhang KP, 2018, IEEE T CONTR SYST T, V26, P1552, DOI 10.1109/TCST.2017.2735360
   Zhang N, 2019, INT J CIV ENG, V17, P1115, DOI 10.1007/s40999-018-0373-1
   Zhang Q, 2020, J ADV TRANSPORT, V2020, DOI 10.1155/2020/3158468
   Zhao KW, 2009, J IRON STEEL RES INT, V16, P20, DOI 10.1016/S1006-706X(09)60038-8
   Zhou L, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102362
NR 89
TC 2
Z9 2
U1 12
U2 78
PU WILEY-HINDAWI
PI LONDON
PA ADAM HOUSE, 3RD FL, 1 FITZROY SQ, LONDON, WIT 5HE, ENGLAND
SN 0197-6729
EI 2042-3195
J9 J ADV TRANSPORT
JI J. Adv. Transp.
PD MAR 24
PY 2022
VL 2022
AR 3013243
DI 10.1155/2022/3013243
PG 15
WC Engineering, Civil; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Transportation
GA 1Y7LP
UT WOS:000808321900001
OA gold
DA 2025-04-22
ER

PT J
AU Smith, ME
   Ortman, SG
   Lobo, J
AF Smith, Michael E.
   Ortman, Scott G.
   Lobo, Jose
TI Heritage sites, climate change, and urban science
SO URBAN CLIMATE
LA English
DT Article
DE Heritage sites; Archaeology; Urban adaptation; Urban sustainability
AB We describe a new research perspective on the relationship between climate change and heritage sites around the world. Existing efforts focus mainly on either the climate-related damages to cultural heritage resources, or the role of local and indigenous communities in using and pre-serving heritage sites. We argue that heritage sites also provide an empirical record of past successes and failures in the ways that cities and settlements have responded to environmental shocks and stresses. The scientific analysis of the relevant archaeological remains can generate hypotheses on the range of factors that facilitated or hindered resilience and influenced successful and unsuccessful urban adaptations. This knowledge, in turn, may help illuminate the drivers of urban adaptations to climate change today. The consideration of heritage sites as sources of in-sights for urban science and urban climate science adds a new dimension to the nexus between climate change research and heritage sites; it does not substitute for existing approaches.
C1 [Smith, Michael E.] Arizona State Univ, Sch Human Evolut & Social Change, Tempe, AZ 85281 USA.
   [Ortman, Scott G.] Univ Colorado Boulder, Dept Anthropol, Boulder, CO USA.
   [Lobo, Jose] Arizona State Univ, Coll Global Futures, Sch Sustainabil, Tempe, AZ USA.
C3 Arizona State University; Arizona State University-Tempe; University of
   Colorado System; University of Colorado Boulder; Arizona State
   University; Arizona State University-Tempe
RP Smith, ME (corresponding author), Arizona State Univ, Sch Human Evolut & Social Change, Tempe, AZ 85281 USA.
EM mesmith9@asu.edu
RI Smith, Michael/A-2935-2008; Lobo, Jose/AAG-2746-2021
OI ORTMAN, SCOTT/0000-0003-0709-5287
CR Alexandrakis G, 2019, HERITAGE-BASEL, V2, P279, DOI 10.3390/heritage2010019
   ArchaeoGLOBE Project, 2019, HarvardDataverse, V2, DOI 10.7910/DVN/6ZXAGT
   Atalay Sonja., 2012, Community-Based Archaeology: Research with, by, and for Indigenous and Local Communities
   Bernstein B, 2020, ADV ARCHAEOL PRACT, V8, P95, DOI 10.1017/aap.2020.3
   Carballo DM, 2022, URBAN STUD, DOI 10.1177/00420980221105418
   Field C.B., 2012, SPECIAL REPORT IPCC
   Fisher C, 2021, HERITAGE-BASEL, V4, P979, DOI 10.3390/heritage4020053
   Fluck H, 2021, HIST ENVIRON POLICY, V12, P263, DOI 10.1080/17567505.2021.1990492
   Hambrecht G, 2017, AM ANTIQUITY, V82, P627, DOI 10.1017/aaq.2017.30
   Henrich J, 2010, BEHAV BRAIN SCI, V33, P61, DOI 10.1017/S0140525X0999152X
   Henrique KP, 2021, PROG HUM GEOG, V45, P1169, DOI 10.1177/0309132520962856
   Kawagley AO, 1998, J RES SCI TEACH, V35, P133, DOI 10.1002/(SICI)1098-2736(199802)35:2<133::AID-TEA4>3.0.CO;2-T
   Lobo J, 2020, URBAN STUD, V57, P731, DOI 10.1177/0042098019873796
   Loring P.A., 2020, Finding our niche: Toward a restorative human ecology
   Oliveira MLS, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100927
   Prieur- Richard A.-H., 2019, GLOBAL RES ACTION AG, V13
   Schmidt Peter R., 2019, ARCHAEOLOGIES LISTEN
   Sesana E, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.710
   Simpson NP, 2022, NAT CLIM CHANGE, V12, P210, DOI 10.1038/s41558-022-01279-8
   Smith L., 2009, HERITAGE COMMUNITIES
   Smith ME, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018155118
   Westman L, 2022, AMBIO, V51, P1402, DOI 10.1007/s13280-021-01697-6
NR 22
TC 4
Z9 4
U1 11
U2 23
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JAN
PY 2023
VL 47
AR 101371
DI 10.1016/j.uclim.2022.101371
EA DEC 2022
PG 4
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 7N9DP
UT WOS:000907635900002
DA 2025-04-22
ER

PT J
AU Jurjonas, M
   Seekamp, E
   Rivers, L
   Cutts, B
AF Jurjonas, Matthew
   Seekamp, Erin
   Rivers, Louie, III
   Cutts, Bethany
TI Uncovering climate (in)justice with an adaptive capacity assessment: A
   multiple case study in rural coastal North Carolina
SO LAND USE POLICY
LA English
DT Article
DE Resilience; Sea level rise; Climate change adaptation; Ethnocentrism;
   Colorblindness
ID SEA-LEVEL RISE; SOCIAL-ECOLOGICAL SYSTEMS; ENVIRONMENTAL JUSTICE;
   TROPICAL COASTAL; VULNERABILITY; RESILIENCE; ADAPTATION; KNOWLEDGE;
   COMMUNICATION; MANAGEMENT
AB Climate change resilience is an area of praxis where efforts to enhance community adaptive capacity are informed by theory. However, there is growing evidence that ethnocentrism and privilege are shaping coastal management policies while many communities with climate justice issues struggle to build resilience. Particularly, rural coastal communities, contrasting urban areas, have limited access to centralized planning efforts, unique local contexts for outreach, compounding social vulnerabilities (job loss, out-migration, limited social services), and receive less attention from resilience researchers. Following calls to integrate climate justice into resilience praxis, we assess perceptions of adaptive capacity within predominately African American communities in a rural low-lying coastal region in eastern North Carolina. We add a climate justice lens to evaluate the previously-validated Rural Coastal Community Resilience (RCCR) framework. The RCCR is intended to improve planning efforts by providing climate change information, initiating conversations, and contributing to resilience theory. In contrast to its previous applications, engagement led to declines in perceived adaptive capacity. This result highlights that the information sharing goals of the engagement efforts were poorly aligned with community concerns and threat perceptions. Additionally, perceived climate injustices emerged revealing instances of adaptation oppression. This study recommends strategies to rethink traditional extension efforts to improve inclusiveness by deeply interrogating the inherent whiteness of standard modes of communicating climate science.
C1 [Jurjonas, Matthew; Seekamp, Erin; Cutts, Bethany] NC State Univ, Dept Pk Recreat & Tourism Management, Raleigh, NC 27695 USA.
   [Rivers, Louie, III] NC State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA.
   [Cutts, Bethany] NC State Univ, Ctr Geospatial Analyt, Raleigh, NC 27695 USA.
C3 North Carolina State University; North Carolina State University; North
   Carolina State University
RP Seekamp, E (corresponding author), North Carolina State Univ, Dept Pk Recreat & Tourism Management, Coll Nat Resources, 3028C Biltmore Hall,Campus Box 8004,2820 Faucette, Raleigh, NC 27695 USA.
EM elseekam@ncsu.edu
RI Cutts, Bethany/L-2757-2019
OI Cutts, Bethany/0000-0001-7879-526X; Seekamp, Erin/0000-0001-5082-1921
FU National Oceanic and Atmospheric Administration (NOAA) Climate Program
   Office [NA11OAR4310148, NA16OAR4310163]; College of Natural Resources at
   NC State University's Building Interdisciplinary Strengths initiative
FX This work was inspired by and contributes to a research project
   partially supported by the National Oceanic and Atmospheric
   Administration (NOAA) Climate Program Office (grant no. NA11OAR4310148
   and NA16OAR4310163) to the Carolinas Integrated Sciences and Assessments
   (CISA) (project title: "Resilience Inclusion on the Coast: Exploring Sea
   Level Rise in Diverse Communities on the Albemarle Pamlico Peninsula of
   North Carolina") and partially supported by the College of Natural
   Resources at NC State University's Building Interdisciplinary Strengths
   initiative (project title: "SocioEcological Solutions to the
   Salinization of Albemarle-Pamlico Peninsula: An Interdisciplinary
   Assessment of Land and Water Resources and Community Climate
   Readiness").
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Agyeman J, 2016, ANNU REV ENV RESOUR, V41, P321, DOI 10.1146/annurev-environ-110615-090052
   Aldunce P, 2016, ENVIRON HAZARDS-UK, V15, P58, DOI 10.1080/17477891.2015.1134427
   Allen BL, 2007, SOC STUD SCI, V37, P103, DOI 10.1177/0306312706069431
   Allen JS, 2018, SOCIOL QUART, V59, P320, DOI 10.1080/00380253.2018.1436945
   [Anonymous], NIST COMM RES PLANN
   [Anonymous], OCEAN COAST MANAG
   [Anonymous], OCEAN COAST MANAG
   [Anonymous], ENV JUSTICE EYE HURR
   [Anonymous], CHALLENGES RESILIENC
   [Anonymous], SWAN QUARTER DIKE GI
   [Anonymous], RESILIENCE
   [Anonymous], NIST COMM RES PLANN
   [Anonymous], J LAND USE ENV LAW
   [Anonymous], J SUSTAIN TOUR
   [Anonymous], WALL STREET J
   [Anonymous], ANN REV PUBL HLTH
   [Anonymous], CLIM DEV
   [Anonymous], GEORGETOWN LAW J
   [Anonymous], OCEAN COAST MANAG
   [Anonymous], CLIM CHANGE
   [Anonymous], SCI LETT
   [Anonymous], J AM PLAN ASS
   [Anonymous], CLIM READ N CAR BUIL
   [Anonymous], HERES LOOK DAMAGE HU
   Antadze N, 2018, ETHICS POLICY ENV, V21, P45, DOI 10.1080/21550085.2018.1448034
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Barrett S, 2013, GLOBAL ENVIRON CHANG, V23, P1819, DOI 10.1016/j.gloenvcha.2013.07.015
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Bostick T.P., 2016, Risk Analysis
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Bullard RobertD., 2009, Race, place, and environmental justice after Hurricane Katrina: Struggles to reclaim, rebuild, and revitalize New Orleans and the Gulf Coast, DOI 10.4324/9780429497858
   Capozzo M, 2019, J EARTHQ TSUNAMI, V13, DOI 10.1142/S1793431119500088
   Carpenter SR, 2008, ECOL SOC, V13
   Church JA, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1137
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Clarke B, 2013, OCEAN COAST MANAGE, V86, P88, DOI 10.1016/j.ocecoaman.2013.02.009
   Covi MP, 2016, ENVIRON COMMUN, V10, P612, DOI 10.1080/17524032.2015.1056541
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutts BB, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196416
   Cutts BB, 2015, SOC NATUR RESOUR, V28, P1340, DOI 10.1080/08941920.2015.1020581
   Deason G, 2014, MAR POLICY, V50, P142, DOI 10.1016/j.marpol.2014.05.008
   Donner W, 2008, SOC FORCES, V87, P1089
   Dow K, 2013, REG ENVIRON CHANGE, V13, P1235, DOI 10.1007/s10113-013-0440-8
   Emery M, 2006, COMMUNITY DEV, V37, P19, DOI 10.1080/15575330609490152
   Endres D, 2009, WESTERN J COMM, V73, P418, DOI 10.1080/10570310903279083
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Ferrol-Schulte D, 2013, MAR POLICY, V42, P253, DOI 10.1016/j.marpol.2013.03.007
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Flick U., 2018, An introduction to qualitative research
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forster J, 2014, MAR POLICY, V45, P204, DOI 10.1016/j.marpol.2013.10.017
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hardy RD, 2018, APPL GEOGR, V91, P10, DOI 10.1016/j.apgeog.2017.12.019
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Harrison J.L., 2017, ENVIRON SOCIOL, V3, P197, DOI DOI 10.1080/23251042.2017.1344918
   Hauer ME, 2016, NAT CLIM CHANGE, V6, P691, DOI [10.1038/NCLIMATE2961, 10.1038/nclimate2961]
   Hayward T., 2006, Human Rights vs Emissions Rights: Climate Justice and the Equitable Distribution of Ecological Space
   Haywood BK, 2014, J ENVIRON POL PLAN, V16, P75, DOI 10.1080/1523908X.2013.817948
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/nclimate3252, 10.1038/NCLIMATE3252]
   Jackson RL, 1999, Q J SPEECH, V85, P38, DOI 10.1080/00335639909384240
   Kaijser A, 2014, ENVIRON POLIT, V23, P417, DOI 10.1080/09644016.2013.835203
   Kapucu N, 2013, RISK HAZARDS CRISIS, V4, P215, DOI 10.1002/rhc3.12043
   Kettle NP, 2014, CLIM RISK MANAG, V4-5, P17, DOI 10.1016/j.crm.2014.07.001
   Kettle NP, 2014, ENVIRON SCI POLICY, V44, P279, DOI 10.1016/j.envsci.2014.08.013
   Kittinger JN, 2010, COAST MANAGE, V38, P634, DOI 10.1080/08920753.2010.529038
   Kopp RE, 2015, CLIMATIC CHANGE, V132, P693, DOI 10.1007/s10584-015-1451-x
   Lackstrom K, 2014, WEATHER CLIM SOC, V6, P238, DOI 10.1175/WCAS-D-13-00030.1
   Lane D, 2013, SUSTAIN SCI, V8, P469, DOI 10.1007/s11625-013-0213-9
   Lazrus H, 2012, ANNU REV ANTHROPOL, V41, P285, DOI 10.1146/annurev-anthro-092611-145730
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Linkov I, 2019, RISK SYST DECIS, P1, DOI 10.1007/978-3-319-77492-3_1
   Linkov I, 2018, RISK ANAL, V38, P1772, DOI 10.1111/risa.12991
   Macintosh A, 2013, MITIG ADAPT STRAT GL, V18, P1035, DOI 10.1007/s11027-012-9406-2
   Malin SA, 2018, ENVIRON SOCIOL, V4, P1, DOI 10.1080/23251042.2018.1446711
   Mays N, 2000, BMJ-BRIT MED J, V320, P50, DOI 10.1136/bmj.320.7226.50
   McCreedy C., 2018, The George Wright Forum, V35, P109
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Miller F, 2010, ECOL SOC, V15
   Morss RE, 2011, ANNU REV ENV RESOUR, V36, P1, DOI 10.1146/annurev-environ-060809-100145
   Mullin M, 2019, CLIMATIC CHANGE, V152, P275, DOI 10.1007/s10584-018-2191-5
   NIST, 2015, SYSTEMS IROS2015, DOI https://doi.org/10.6028/NIST.SP.1190v1
   Nussbaum M. C., 2011, CREATING CAPABILITIE
   Nussbaum MC, 1997, FORDHAM LAW REV, V66, P273
   O'Brien K, 2009, ECOL SOC, V14
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Paxson C, 2012, SOC SCI MED, V74, P150, DOI 10.1016/j.socscimed.2011.10.004
   Peroff DM, 2017, J OUTDOOR REC TOUR, V17, P100, DOI 10.1016/j.jort.2016.10.001
   Phillips L, 2012, NATURE, V486, P450, DOI 10.1038/486450a
   Poulter B, 2009, OCEAN COAST MANAGE, V52, P147, DOI 10.1016/j.ocecoaman.2008.09.010
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Rand K, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101310
   Renn O, 2011, AMBIO, V40, P231, DOI 10.1007/s13280-010-0134-0
   Resilient Cities, 2019, Resilient Cities, Resilient Lives
   Richter L, 2018, ENVIRON SOCIOL, V4, P107, DOI 10.1080/23251042.2017.1410988
   Riggs S.R., 2008, N CAROLINAS COASTS C
   Rivers L, 2006, RISK ANAL, V26, P1, DOI 10.1111/j.1539-6924.2006.00718.x
   Robbins P, 2011, POLITICAL ECOLOGY CR, V16
   Robbins Paul., 2011, Political ecology: A critical introduction, V16
   Roberts JT, 2009, INT J COMP SOCIOL, V50, P385, DOI 10.1177/0020715209105147
   Robinson M, 2018, NAT CLIM CHANGE, V8, P564, DOI 10.1038/s41558-018-0189-7
   Sampson R.J., 2006, MANY COLORS CRIME IN, P8
   Schlosberg D, 2017, ENVIRON POLIT, V26, P413, DOI 10.1080/09644016.2017.1287628
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Schlosberg David., 2009, DEFINING ENV JUSTICE, DOI 10.1093/acprof:oso/9780199286294.001.0001
   Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011
   Sen AK., 2010, IDEA JUSTICE, DOI DOI 10.2307/J.CTVJNRV7N
   Skinner MW, 2018, GERONTOLOGIST, V58, P15, DOI 10.1093/geront/gnx094
   Spanger-Siegfried Erika., 2017, RISING SEAS HIT HOME
   Spillett M.A., 2003, ACAD EXCHANGE, V7, P36
   Stevenson KT, 2014, CLIMATIC CHANGE, V126, P293, DOI 10.1007/s10584-014-1228-7
   Titus J., 1998, Maryland Land Review, V27, P1279
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Turner MD, 2016, GEOFORUM, V68, P29, DOI 10.1016/j.geoforum.2015.11.006
   Walker G, 2011, CRIT SOC POLICY, V31, P216, DOI 10.1177/0261018310396149
   Widener P, 2018, ENVIRON SOCIOL, V4, P162, DOI 10.1080/23251042.2018.1434035
   Willcocks LP, 2015, TECHNOL WORK GLOB, P1, DOI 10.1057/9781137474056
   Wilson Omega R, 2008, Prog Community Health Partnersh, V2, P237, DOI 10.1353/cpr.0.0027
   Wilson SM, 2008, ENVIRON JUSTICE, V1, P63, DOI 10.1089/env.2008.0509
   Wolanin T.R., 1998, NEW DIR HIGHER EDUC, P17
   Yin R. K., 2014, CASE STUDY RES DESIG
   Yoo G, 2011, OCEAN COAST MANAGE, V54, P524, DOI 10.1016/j.ocecoaman.2011.04.001
NR 126
TC 25
Z9 32
U1 13
U2 85
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAY
PY 2020
VL 94
AR 104547
DI 10.1016/j.landusepol.2020.104547
PG 16
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LE4WJ
UT WOS:000526720000062
DA 2025-04-22
ER

PT J
AU D'Ambrosio, V
   Di Martino, F
   Rigillo, M
AF D'Ambrosio, Valeria
   Di Martino, Ferdinando
   Rigillo, Marina
TI GIS-Based Model for Constructing Ecological Efficiency Maps of Urban
   Green Areas: The Case Study of Western Naples, Italy
SO SUSTAINABILITY
LA English
DT Article
DE ecological efficiency; green infrastructure; GIS-based framework;
   hierarchical database model; urban green areas
ID ECOSYSTEM SERVICES; INFRASTRUCTURE; IMPACT; RESILIENCE; DESIGN; AIR
AB This research implements a GIS framework model aimed at evaluating the ecological efficiency of urban green areas. The model classifies urban green areas by identifying those that can provide ecosystem services to sustain green infrastructure at an urban district level. This model can also guide decision makers in the proper placement of the green infrastructure. The model works on the interrelation of four indicators of size, shape, vegetation structure and vegetation diversity, and it was tested in the case study of the Western Urban Districts of Naples (Italy). The selection of this study area is because it presents four urban districts that are different for physiography, urban patterns, land use, land cover and for the existing building stock. The proposed GIS-based framework can be a useful tool for planning actions and measures to protect, implement and restore existing green areas through integration into urban green infrastructure.
C1 [D'Ambrosio, Valeria; Di Martino, Ferdinando; Rigillo, Marina] Univ Naples Federico II, Dept Architecture, I-80134 Naples, Italy.
C3 University of Naples Federico II
RP Di Martino, F (corresponding author), Univ Naples Federico II, Dept Architecture, I-80134 Naples, Italy.
EM valeria.dambrosio@unina.it; ferdinando.dimartino@unina.it;
   marina.rigillo@unina.it
RI Di Martino, Ferdinando/H-8056-2019; Rigilllo, Marina/AAC-4089-2021
OI RIGILLO, Marina/0000-0003-4865-0961; Di Martino,
   Ferdinando/0000-0001-5690-5384
FU Italian Ministry of University and Research (MUR) [20177JHMLA_001]
FX The study works under the Italian National Research Project (PRIN)
   titled "TECH-START-key enabling TECHnologies and Smart environmenT in
   the Age of gReen economy. convergent innovations in the open
   space/building system for climaTe mitigation". funder: Italian Ministry
   of University and Research (MUR), funding number: 20177JHMLA_001.
   (2020-2023).
CR Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Ajuntament de Barcelona, 2013, BARC GREEN INFR BIOD
   [Anonymous], 2011, 070307201057718ETUF1
   [Anonymous], 2012, NYV GREEN INFR PLAN
   [Anonymous], 2005, ECOSYSTEMS HUMAN WEL, V5
   [Anonymous], 2011, Green Infrastructure and Territorial Cohesion. The Concept of Green Infrastructure and its Integration into Policies Using Monitoring Systems
   [Anonymous], 2013, Green Infrastructure (GI) - Enhancing Europe's Natural Capital. COM (2013) 249 final, DOI DOI 10.1017/CBO9781107415324.004
   Apreda C, 2019, ENVIRON SCI POLICY, V93, P11, DOI 10.1016/j.envsci.2018.12.016
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Calderoni G, 1998, HOLOCENE, V8, P581, DOI 10.1191/095968398671591932
   Cook EA, 2002, LANDSCAPE URBAN PLAN, V58, P269, DOI 10.1016/S0169-2046(01)00226-2
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Di Martino F., 2019, ENV DESIGN CLIMATE C, P46
   Essl F, 2013, BIODIVERSITAT KLIMAW
   Estreguil C., 2019, EUR 29449, DOI [10.2760/06072, DOI 10.2760/06072]
   European Commission, COM2019236 EUR COMM
   European Commission, SWD2019184 EUR COMM
   European Commission Commission Staff Working Document Technical Information on Green Infrastructure (GI), COM20130249 EUR COM
   European Commission. DG Environment News Alert Service, 2012, MULT GREEN INFR SCI
   Fauzi M. A., 2013, INT C ARCH BUILT ENV, P755
   Fenu Gianni, 2018, Appl Netw Sci, V3, P22, DOI 10.1007/s41109-018-0085-0
   FORMAN RTT, 1981, BIOSCIENCE, V31, P733, DOI 10.2307/1308780
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   Jaganmohan M, 2016, J ENVIRON QUAL, V45, P134, DOI 10.2134/jeq2015.01.0062
   Jiang YF, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17228684
   Kershaw T, 2017, IOP EXPAND PHYS, P1, DOI 10.1088/978-0-7503-1197-7
   Li Y, 2021, SUSTAIN PROD CONSUMP, V28, P1724, DOI 10.1016/j.spc.2021.09.012
   Liao W, 2021, ENERG BUILDINGS, V244, DOI 10.1016/j.enbuild.2021.111027
   Lindeman RL, 1942, ECOLOGY, V23, P399, DOI 10.2307/1930126
   Liquete C, 2015, ENVIRON SCI POLICY, V54, P268, DOI 10.1016/j.envsci.2015.07.009
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Monteiro MV, 2016, URBAN FOR URBAN GREE, V16, P160, DOI 10.1016/j.ufug.2016.02.008
   Mussinelli E, 2018, TECHNE, V15, P116, DOI 10.13128/Techne-22112
   Parker J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113182
   Potschin MB, 2011, PROG PHYS GEOG, V35, P575, DOI 10.1177/0309133311423172
   Ricklefs R.E., 2000, ECOLOGY, V4th, P822
   Skelhorn C, 2014, LANDSCAPE URBAN PLAN, V121, P129, DOI 10.1016/j.landurbplan.2013.09.012
   Staccione A, 2022, ENVIRON SCI POLICY, V131, P57, DOI 10.1016/j.envsci.2022.01.017
   Sun RH, 2017, ECOSYST SERV, V23, P38, DOI 10.1016/j.ecoser.2016.11.011
   Tan Z, 2016, ENERG BUILDINGS, V114, P265, DOI 10.1016/j.enbuild.2015.06.031
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   United Nations, 2021, System of Environmental-Economic Accounting-Ecosystem Accounting (SEEA EA)
   Valente R., 2020, ADAPTING CHANGING CL
   Wang JX, 2018, ECOL INDIC, V85, P758, DOI 10.1016/j.ecolind.2017.09.018
   Yao JD, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107827
   Ying J, 2022, ECON RES-EKON ISTRAZ, V35, P343, DOI 10.1080/1331677X.2021.1893202
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
NR 50
TC 3
Z9 3
U1 8
U2 59
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2022
VL 14
IS 11
AR 6830
DI 10.3390/su14116830
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 1Z5UM
UT WOS:000808889300001
OA gold
DA 2025-04-22
ER

PT J
AU O'Shea, TE
   Grobusch, LC
   Zhang, MRY
   Neal, J
   Daron, J
   Jones, RG
   Jack, C
   Mcclure, A
   Siame, G
   Ndhlovu, D
   Bharwani, S
AF O'Shea, Thomas E.
   Grobusch, Lena C.
   Zhang, Mary
   Neal, Jeff
   Daron, Joseph
   Jones, Richard G.
   Jack, Christopher
   Mcclure, Alice
   Siame, Gilbert
   Ndhlovu, Dorothy
   Bharwani, Sukaina
TI Integrating social narratives of flood events into a text network
   analysis-based decision support framework to reduce vulnerability to
   climate change in Africa
SO CLIMATE SERVICES
LA English
DT Article
DE Flood Resilience; Climate Change; Community-Based Narratives; Disaster
   Risk Management; Stakeholder Engagement
ID DISASTER RISK; ENHANCING RESILIENCE; BUILDING RESILIENCE; SCALE;
   CHALLENGES; RAINFALL; IMPACTS; SYSTEMS; LUSAKA; MODELS
AB In many African countries, the response to climate change is obstructed by a lack of accessible and usable information, such as localised flood maps. Compounding this, current disaster risk management systems often fail to account for context-specific drivers of social vulnerability and environmental risks, crucial for enhancing social resilience to flood impacts. This paper captures the community-based narratives of flood risk in Lusaka, Zambia. Using a well-established network from the Future Resilience for African Cities And Lands (FRACTAL) group, a cross-disciplinary approach of natural and social sciences to support decision-making for flood resilience is presented as the Participatory Climate Information Distillation for Urban Flood Resilience in Lusaka (FRACTAL-PLUS) project. Local flood inundation maps were created using global rainfall and GIS datasets and then analysed across two interactive "Learning Labs" with local stakeholders. Historical observations and lived experiences were distilled from the learning labs into three community-based social narratives of flood risk. These narratives were used to calibrate the flood maps with insights from Lusaka's stakeholders using Natural Language Processing (NLP) and Text Network Analysis (TNA). The narrative-informed flood maps provide a dynamic entry point for enhancing stakeholder engagement by discussing social vulnerability to floods and climate change, highlighting future challenges and opportunities for resilience planning. The outputs demonstrate the value of convening stakeholders to discuss these topics in a sustainable setting for addressing the interdisciplinary challenges of climate resilience, offering a benchmark for better use of available resources and enabling a swift evaluation of needs and measures for resilience building.
C1 [O'Shea, Thomas E.] Univ Salford, Sch Sci Engn & Environm, Salford, England.
   [Grobusch, Lena C.; Bharwani, Sukaina] Stockholm Environm Inst SEI Oxford Ctr, Oxford, England.
   [Zhang, Mary] Univ Birmingham, Sch Social Policy & Soc, Dept Social Policy Sociol & Criminol, Birmingham, England.
   [Neal, Jeff; Daron, Joseph] Univ Bristol, Sch Geog Sci, Bristol, England.
   [Jones, Richard G.] Met Off, Hadley Ctr, Exeter, England.
   [Jones, Richard G.] Univ Oxford, Sch Geog & Environm, Oxford, England.
   [Jack, Christopher; Mcclure, Alice] Univ Cape Town, Climate Syst Anal Grp, Cape Town, South Africa.
   [Siame, Gilbert; Ndhlovu, Dorothy] Univ Zambia, Ctr Urban Res & Planning, Dept Geog & Environm Studies, Lusaka, Zambia.
C3 University of Salford; University of Birmingham; University of Bristol;
   Met Office - UK; Hadley Centre; University of Oxford; University of Cape
   Town; University of Zambia
RP O'Shea, TE (corresponding author), Univ Salford, Sch Sci Engn & Environm, Salford, England.
EM t.e.oshea@salford.ac.uk
RI Grobusch, Lena/KUF-1694-2024; Siame, Gilbert/IWD-6465-2023; Zhang,
   Mary/ABE-1001-2021; Daron, Joseph/I-3942-2014; Neal, Jeffrey/C-8723-2009
OI Daron, Joseph/0000-0003-1917-0264; Zhang, Mary/0000-0003-2534-3811;
   Neal, Jeffrey/0000-0001-5793-9594
FU NERC/COP26 Adaptation and Resilience Scoping call Grant
   [2021COPAR37Daron];  [2021COPA R37Daron]
FX NERC/COP26 Adaptation and Resilience Scoping callGrant Ref:
   2021COPA&R37Daron.
CR Adams J, 2005, NUCL PHYS A, V757, P102, DOI 10.1016/j.nuclphysa.2005.03.085
   Adano W.R., 2012, Institute for Security Studies Papers, V2012, P20
   Alexander M., 2011, A GIS-based Flood Risk Assessment Tool: Supporting Flood Incident Management at the local scale
   Ali K., 2017, J. Geograp. Natl. Disast., V7, P1
   Andreadis KM, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac9197
   [Anonymous], 2016, Baseline Assessment for Lusaka-prepared for FRACTAL
   Antoniadou M, 2022, DENT J-BASEL, V10, DOI 10.3390/dj10060108
   Ballesteros C, 2018, NAT HAZARDS, V90, P265, DOI 10.1007/s11069-017-3042-9
   Bates PD, 2024, INTERFACE FOCUS, V14, DOI 10.1098/rsfs.2023.0079
   Bates PD, 2010, J HYDROL, V387, P33, DOI 10.1016/j.jhydrol.2010.03.027
   Best J, 2022, NAT SUSTAIN, V5, P811, DOI 10.1038/s41893-022-00929-1
   Biancamaria S, 2009, J HYDROL, V379, P136, DOI 10.1016/j.jhydrol.2009.09.054
   Bizimana JP, 2010, GEOTECH ENVIRON, V2, P99, DOI 10.1007/978-90-481-2238-7_6
   Boehm S., 2023, 10 Big findings from the 2023 IPCC report on climate change
   Bromhead H, 2021, LANG SCI, V85, DOI 10.1016/j.langsci.2021.101381
   Bulti DT, 2020, MODEL EARTH SYST ENV, V6, P1293, DOI 10.1007/s40808-020-00803-z
   Cabos W, 2019, CLIM DYNAM, V52, P4305, DOI 10.1007/s00382-018-4381-2
   Chabala L.M., 2013, Universal Journal of Agricultural Research, V1, P134, DOI DOI 10.13189/UJAR.2013.010403
   Chalchissa FB, 2022, ENVIRON MONIT ASSESS, V194, DOI 10.1007/s10661-022-09775-2
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   CRED-UNDRR, 2020, The Human Cost of Disasters-An overview of the last 20 years 2000-2019-World
   Crutzen P.J., 2000, Global. Change. Newsletter, V41, P17
   da Paz AR, 2011, HYDROL PROCESS, V25, P1498, DOI 10.1002/hyp.7926
   Daniels E, 2020, CLIM SERV, V19, DOI 10.1016/j.cliser.2020.100181
   Di Baldassarre G, 2019, WATER RESOUR RES, V55, P6327, DOI 10.1029/2018WR023901
   Di Baldassarre G, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL045467
   de Paiva RCD, 2013, WATER RESOUR RES, V49, P1226, DOI 10.1002/wrcr.20067
   Djalante R, 2011, INT J DISAST RISK SC, V2, P1, DOI 10.1007/s13753-011-0015-6
   Favretto N, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030779
   Filho WL, 2022, TECHNOL FORECAST SOC, V180, DOI 10.1016/j.techfore.2022.121662
   Flottum K, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.429
   Flyvbjerg B, 2022, J MANAGE INFORM SYST, V39, P607, DOI 10.1080/07421222.2022.2096544
   Fu XY, 2023, J AM PLANN ASSOC, V89, P107, DOI 10.1080/01944363.2022.2038659
   Ganeshu P, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15054600
   Goddard C, 2021, ROUT HANDB LINGUIST, P93
   Graham LP, 2007, CLIMATIC CHANGE, V81, P293, DOI 10.1007/s10584-006-9215-2
   Granderson AA, 2014, CLIM RISK MANAG, V3, P55, DOI 10.1016/j.crm.2014.05.003
   Grenfell SE, 2014, GEOMORPHOLOGY, V205, P142, DOI 10.1016/j.geomorph.2012.05.010
   Grobusch L.C., 2022, Master thesis
   Gronwall J.T., 2010, GROUNDWATER SELF SUP
   Harris Richard., 2012, Colonial Architecture and Urbanism in Africa, P127
   Hawker L, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4d4f
   Hegazi YS, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app122110916
   Hegger DLT, 2016, ECOL SOC, V21, DOI 10.5751/ES-08854-210452
   Hendrix CS, 2012, J PEACE RES, V49, P35, DOI 10.1177/0022343311426165
   Hosseinzadehtalaei P, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126239
   Hubbard DW  ..., 2020, The failure of risk management: Why it's broken and how to fix it, DOI 10.1002/9781119521914
   Jack CD, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100239
   Jung HC, 2010, EARTH SURF PROC LAND, V35, P294, DOI 10.1002/esp.1914
   Kaack LH, 2022, NAT CLIM CHANGE, V12, P518, DOI 10.1038/s41558-022-01377-7
   Kangwa K., 2024, Smart and Resilient Infrastructure for Emerging Economies: Perspectives on Building Better, P90
   Karlsson IB, 2016, J HYDROL, V535, P301, DOI 10.1016/j.jhydrol.2016.01.069
   Kendon EJ, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09776-9
   Kennedy Melissa., 2017, Narratives of Inequality: Postcolonial Literary Economics
   Kienberger S, 2014, J MAPS, V10, P269, DOI 10.1080/17445647.2014.891265
   Kiptum A, 2023, J FLOOD RISK MANAG, DOI 10.1111/jfr3.12884
   Konar M, 2019, WATER RESOUR RES, V55, P874, DOI 10.1029/2018WR024088
   Kourtis IM, 2021, SCI TOTAL ENVIRON, V771, DOI 10.1016/j.scitotenv.2021.145431
   Lavell A, 2014, ENVIRON HAZARDS-UK, V13, P267, DOI 10.1080/17477891.2014.935282
   Lowe T, 2006, PUBLIC UNDERST SCI, V15, P435, DOI 10.1177/0963662506063796
   Lupale M, 2019, BULL GEOGR SOCIO-ECO, V46, P53, DOI 10.2478/bog-2019-0034
   Mabuku MP, 2019, PHYS CHEM EARTH, V111, P20, DOI 10.1016/j.pce.2018.12.009
   Martínez C, 2018, WATER RESOUR MANAG, V32, P4329, DOI 10.1007/s11269-018-2054-x
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   Milner-Thornton J., 2011, The long shadow of the British Empire: the ongoing legacies of race and class in Zambia
   Mubanga K.H., 2022, Europ. J. Environ. Earth Sci., V3, P80
   Muchanga M., 2013, Southern Afr. J. Environ. Educat., P94, DOI 122263
   Mugume SN, 2015, WATER SCI TECH-W SUP, V15, P1343, DOI 10.2166/ws.2015.098
   Mwamba D.N., 2018, Policy brief Lusaka-Water supply & sanitation
   Nchito W.S., 2018, Policy Brief Lusaka: Preparing for increased flooding
   Nchito WS, 2007, ENVIRON URBAN, V19, P539, DOI 10.1177/0956247807082835
   Neal J.C., 2012, AGU FALL M, V2012, pEP34A
   Neal J, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028301
   Neal J, 2012, HYDROL PROCESS, V26, P2264, DOI 10.1002/hyp.8339
   NEIMAN M, 1976, AM POLIT SCI REV, V70, P149, DOI 10.1017/S0003055400264071
   Notre Dame Global Adaptation Initiative, 2022, Zambia Country Index
   Papa F, 2023, SURV GEOPHYS, V44, P43, DOI 10.1007/s10712-022-09700-9
   Paranyushkin D, 2019, WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), P3584
   Parnell S., 2014, Routledge Handbook on Cities of the Global South, DOI [10.4324/9780203387832, DOI 10.4324/9780203387832]
   Pelling M, 2003, INT DEV PLANN REV, V25, pI, DOI 10.3828/idpr.25.4.1
   Piazza P, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15129798
   Pilli-Sihvola K, 2016, INT J DISAST RISK RE, V19, P461, DOI 10.1016/j.ijdrr.2016.07.010
   Quagraine KA, 2019, J CLIMATE, V32, P2483, DOI 10.1175/JCLI-D-18-0689.1
   Re M, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12524
   Reed PM, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002621
   Rollason E, 2018, NAT HAZARDS, V92, P1665, DOI 10.1007/s11069-018-3273-4
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Sakapaji Stephen Chitengi, 2021, International Journal of Climate Change: Impacts and Responses, V13, P61, DOI 10.18848/1835-7156/CGP/v13i02/61-83
   Sampson CC, 2015, WATER RESOUR RES, V51, P7358, DOI 10.1002/2015WR016954
   Sampson CC, 2013, HYDROL PROCESS, V27, P467, DOI 10.1002/hyp.9515
   Sanchez E, 2022, EDUC INF TECHNOL, V27, P4501, DOI 10.1007/s10639-021-10783-x
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Scanlon BR, 2023, NAT REV EARTH ENV, V4, P87, DOI 10.1038/s43017-022-00378-6
   Schmitt TG, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1401
   Schumann GJP, 2013, WATER RESOUR RES, V49, P6248, DOI 10.1002/wrcr.20521
   Scott D, 2024, J SUSTAIN TOUR, V32, P1725, DOI 10.1080/09669582.2023.2195597
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Shongwe P., 2014, Journal of Agricultural Studies, V2, P86
   Sichingabula H., 1998, Rainfall variability, drought and implications of its impacts on Zambia, 1886-1996
   Simatele D, 2012, J HUM DEV CAPABIL, V13, P269, DOI 10.1080/19452829.2011.645029
   Sunyer MA, 2012, ATMOS RES, V103, P119, DOI 10.1016/j.atmosres.2011.06.011
   Taylor A., 2021, Climate Risk in Africa, P115
   Taylor A, 2021, CURR OPIN ENV SUST, V51, P77, DOI 10.1016/j.cosust.2021.03.006
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Termeer C., 2017, Oxford Research Encyclopedia of Climate Science, P1, DOI [10.1093/acrefore/9780190228620.013.600, DOI 10.1093/ACREFORE/9780190228620.013.600]
   Tonn G, 2022, WATER ECON POLICY, V08, DOI 10.1142/S2382624X22400021
   Trigg MA, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094014
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8080, DOI 10.1073/pnas.1231334100
   Umar BB, 2023, URBAN FORUM, V34, P133, DOI 10.1007/s12132-022-09473-9
   UN Habitat & Disaster Risk Management Sustainability and Urban Resilience (DiMSUR), 2020, City Resilience Action Planning Tool
   Viavattene C, 2018, COAST ENG, V134, P33, DOI 10.1016/j.coastaleng.2017.09.002
   Wang C, 2024, PHARMACOGENOMICS, V25, P367, DOI [10.1080/14622416.2024.2380240, 10.1080/10837450.2024.2342965, 10.1007/978-981-97-1099-7_1]
   Ward PJ, 2015, NAT CLIM CHANGE, V5, P712, DOI 10.1038/nclimate2742
   Wasko C, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126994
   Wilkinson E, 2019, DISASTERS, V43, pS233, DOI 10.1111/disa.12345
   Wing OEJ, 2024, WATER RESOUR RES, V60, DOI 10.1029/2023WR036460
   Wragg E, 2015, HABITAT INT, V46, P260, DOI 10.1016/j.habitatint.2014.10.005
   Wung GB, 2019, DISASTER PREV MANAG, V28, P76, DOI 10.1108/DPM-06-2018-0193
   Ziervogel G, 2021, URBAN GEOGR, V42, P733, DOI 10.1080/02723638.2020.1850629
NR 119
TC 0
Z9 0
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD JAN
PY 2025
VL 37
AR 100538
DI 10.1016/j.cliser.2024.100538
EA JAN 2025
PG 18
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA W3A3P
UT WOS:001417342900001
OA gold
DA 2025-04-22
ER

PT J
AU Li, JK
   Jiang, YS
   Zhai, MM
   Gao, JY
   Yao, YT
   Li, YF
AF Li, Jiake
   Jiang, Yishuo
   Zhai, Mengmeng
   Gao, Jiayu
   Yao, Yutong
   Li, Yafang
TI Construction and application of sponge city resilience evaluation
   system: a case study in Xi'an, China
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Sponge city resilience; Indicator system; Layout optimization; Grey
   relational analysis; SWMM
ID URBANIZATION; SELECTION; QUALITY; GREEN
AB Urban vulnerability is evident when highly complex flood risks overlap with diverse cities, and it is important to enhance the resilience of cities to flood shocks. In this study, a sponge city resilience assessment system is established considering engineering, environmental and social indicators, and the grey relational analysis method (GRA) is used to quantify sponge city resilience. At the same time, a multi-objective optimization model is established based on the three dimensions of water ecological environment, drainage safety, and waterlogging safety. The optimal configuration of grey-green infrastructure is weighed by combining the ideal point method, aiming to ensure that cities effectively reduce flood risk through the optimal configuration scheme. Taking the Xiaozhai area in Xi'an as the study area, the evaluation results show that the grey relational degree (GRD) of the resilience indexes of the original scheme is between 0.390 and 0.661 under the seven different return periods, while the optimization scheme ranges from 0.648 to 0.765, with the best sponge city resilience at a return period of 2a. Compared with the original scheme, the optimized sponge city resilience level increases from level II to nearly level I in the low return period and from level IV to level II in the high return period, indicating that city's ability to cope with waterlogging and pollution is enhanced significantly. Besides, the main factor affecting the sponge city resilience is the runoff control rate, followed by pollutant load reduction rate, which can provide a methodological framework for the assessment and improvement of sponge city resilience.
C1 [Li, Jiake; Jiang, Yishuo; Zhai, Mengmeng; Gao, Jiayu; Yao, Yutong; Li, Yafang] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China.
C3 Xi'an University of Technology
RP Li, JK (corresponding author), Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China.
EM xaut_ljk@163.com
RI zhai, Mengmeng/AGY-5026-2022
FU National Natural Science Foundation of China [52070157]; Natural Science
   Foundation of Shaanxi Province [2019JM-347]; Construction of QIN CHUANG
   YUAN "scientist + engineer" Team in Shaanxi Province [2022KXJ-115)]
FX This work is financially supported by the National Natural Science
   Foundation of China (52070157), Natural Science Foundation of Shaanxi
   Province (2019JM-347) and Construction of QIN CHUANG YUAN "scientist +
   engineer" Team in Shaanxi Province (2022KXJ-115).
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alves A, 2018, WATER RESOUR MANAG, V32, P2505, DOI 10.1007/s11269-018-1943-3
   [Anonymous], 2014, Disaster Resilience Scorecard for Cities
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Chai NJ, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108722
   Chen WJ, 2021, INT J DISAST RISK RE, V54, DOI 10.1016/j.ijdrr.2021.102045
   Cheng T, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2021.101058
   Deng JL., 1993, J HUAZHONG U SCI TEC, V10, P9
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Duan HF, 2016, WATER RESOUR MANAG, V30, P4635, DOI 10.1007/s11269-016-1444-1
   Geis D.E., 2000, NAT HAZARDS REV, P151, DOI DOI 10.1061/(ASCE)1527-6988(2000)1:3(151)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   He HM, 2008, J ENVIRON MANAGE, V86, P731, DOI 10.1016/j.jenvman.2006.12.043
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang YS, 2019, J CLEAN PROD, V209, P415, DOI 10.1016/j.jclepro.2018.10.128
   Jacobson CR, 2011, J ENVIRON MANAGE, V92, P1438, DOI 10.1016/j.jenvman.2011.01.018
   Jin X, 1990, CHINA WATER WASTEWAT, P59, DOI [10.19853/j.zgjsps.1000-4602.1990.02.020, DOI 10.19853/J.ZGJSPS.1000-4602.1990.02.020]
   Kumar S, 2022, J HYDROL, V606, DOI 10.1016/j.jhydrol.2022.127455
   Le Floch N, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128178
   Li AD, 2016, COMPUT IND, V82, P95, DOI 10.1016/j.compind.2016.05.008
   Li F, 2019, WATER RESOUR MANAG, V33, P3271, DOI 10.1007/s11269-019-02300-0
   [刘兴坡 Liu Xingpo], 2009, [给水排水, Water & Wastewater Engineering], V35, P213
   Long X, 2022, ECOL INDIC, V138, DOI 10.1016/j.ecolind.2022.108863
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Luan WF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020303
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Ministry of Housing and Urban-Rural Development of the People's Republic of China (MOHURD), 2021, 500142021 GB
   Ministry of Housing and Urban-Rural Development of the Peoples Republic of China (MOHURD), 2015, TECHN GUID SPONG CIT
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Qiao XJ, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101963
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tansar H, 2022, WATER RESOUR MANAG, V36, P507, DOI 10.1007/s11269-021-03036-6
   Walker B, 2004, ECOL SOC, V9
   Wang M, 2022, SCI TOTAL ENVIRON, V834, DOI 10.1016/j.scitotenv.2022.155267
   Wang M, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103358
   Wu YW, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128349
   Xu CQ, 2019, J CLEAN PROD, V213, P1103, DOI 10.1016/j.jclepro.2018.12.272
   Yao YT, 2022, J CLEAN PROD, V367, DOI 10.1016/j.jclepro.2022.133061
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Zhong CH, 2022, ENVIRON RES, V204, DOI 10.1016/j.envres.2021.111956
   Zhu HW, 2022, ENG FAIL ANAL, V138, DOI 10.1016/j.engfailanal.2022.106293
NR 41
TC 14
Z9 15
U1 30
U2 169
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0944-1344
EI 1614-7499
J9 ENVIRON SCI POLLUT R
JI Environ. Sci. Pollut. Res.
PD MAY
PY 2023
VL 30
IS 22
SI SI
BP 62051
EP 62066
DI 10.1007/s11356-023-26357-y
EA MAR 2023
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA F9HL1
UT WOS:000954375300007
PM 36934183
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Laskey, AB
   Stanley, E
   Islam, K
   Schwetschenau, S
   Sobeck, J
   Smith, RJ
   McElmurry, SP
   Kilgore, P
   Taylor, K
   Seeger, MW
AF Laskey, Allison B.
   Stanley, Erin
   Islam, Khairul
   Schwetschenau, Sara
   Sobeck, Joanne
   Smith, Richard J.
   McElmurry, Shawn P.
   Kilgore, Paul
   Taylor, Kristin
   Seeger, Matthew W.
TI Perspectives and Propositions on Resilience as Interdisciplinary,
   Multilevel, and Interdependent
SO NATURAL HAZARDS REVIEW
LA English
DT Review
ID LOS-ANGELES AQUEDUCT; ELEVATED BLOOD LEAD; COMMUNITY RESILIENCE; WATER
   CRISIS; CALIFORNIA WATER; CHEMICAL SPILL; CLIMATE-CHANGE;
   INFRASTRUCTURE; COMMUNICATION; RELIABILITY
AB The concept of resilience is surging in popularity, but relevant discussions are often disconnected from one field to another. To prompt integration of disparate conversations on resilience, we examine the concept's origins etymologically, genealogically, and by analyzing the interdependencies of drinking water and public health systems in six academic disciplines and practice-oriented fields. These disciplines are engineering, social work, urban studies, political science, communication, and public health. While the disciplinary resilience literatures are relatively stove-piped from one another's contexts, they all theorize resilience at multiple levels of analysis. They also engage a range of understandings of how to build resilience in complex systems. This paper brings several conversations together, addressing gaps and resonances in disciplinary conceptualizations of resilience with nine propositions to cultivate interdisciplinary and transdisciplinary discussions and debates. We ground this creative inquiry in real-world examples of water system crises to highlight subthemes among the propositions and stimulate more diverse discussions moving forward. We examine dynamics of interfaces and interactions within and between systems through the Elk River Water chemical contamination in Charleston, West Virginia in 2014. We investigate tensions that arise in knowledge and practice through lead poisoning of public water systems in Washington, DC and Flint, MI. Finally, we consider how change and persistence shape learning through water infrastructure in Southern California. All together, these propositions offer a starting point and a provocation to strengthen theorizing around resilience for critical infrastructure systems.
C1 [Laskey, Allison B.] Wayne State Univ, Dept Urban Studies & Planning, 656 West Kirby St, Detroit, MI 48202 USA.
   [Stanley, Erin] Wayne State Univ, Social Work & Anthropol, 573 W Grand Blvd, Detroit, MI 48216 USA.
   [Islam, Khairul] Wayne State Univ, Dept Commun, 585 Manoogian Hall, Detroit, MI 48201 USA.
   [Schwetschenau, Sara] Columbia Univ, Columbia Water Ctr, 842 SW Mudd,500 West 120th St, New York, NY 10027 USA.
   [Sobeck, Joanne] Wayne State Univ, Sch Social Work, 5447 Woodward Ave, Detroit, MI 48202 USA.
   [Smith, Richard J.] Wayne State Univ, Sch Social Work, 5447 Woodward Ave, Detroit, MI 48202 USA.
   [McElmurry, Shawn P.] Wayne State Univ, Dept Civil & Environm Engn, 2158 Engn Bldg,5050 Anthony Wayne Dr, Detroit, MI 48202 USA.
   [Kilgore, Paul] Wayne State Univ, Eugene Applebaum Coll Pharm & Hlth Sci, Dept Pharm Practice, 259 MackAve,Room 2156, Detroit, MI 48201 USA.
   [Taylor, Kristin] Wayne State Univ, Dept Polit Sci, Fac Adm Bldg,646 W Kirby St, Detroit, MI 48202 USA.
   [Seeger, Matthew W.] Wayne State Univ, Coll Fine Performing & Commun Arts, 5104 Gullen Mall,Linsell House, Detroit, MI 48202 USA.
C3 Wayne State University; Wayne State University; Wayne State University;
   Columbia University; Wayne State University; Wayne State University;
   Wayne State University; Wayne State University; Wayne State University;
   Wayne State University
RP Laskey, AB (corresponding author), Wayne State Univ, Dept Urban Studies & Planning, 656 West Kirby St, Detroit, MI 48202 USA.
EM ablaskey@wayne.edu; kislam@wayne.edu; saraschwetschenau@gmail.com
RI Islam, Khairul/ABS-1870-2022; McElmurry, Shawn/ABE-8418-2020; Kilgore,
   Paul/L-1462-2013; Smith, Richard/L-8555-2016
OI Kilgore, Paul/0000-0003-3214-4482; Laskey, Allison/0000-0002-2091-8500;
   Smith, Richard/0000-0002-6825-888X; Islam, Ph.D.,
   Khairul/0000-0001-7624-0041
FU National Science Foundation (NSF) [CBET-1832692]
FX The authors wish to thank Eduardo Piqueiras, Nancy Love, and Jackie
   MacDonald Gibson for their input on early conceptions and drafts of this
   article. We also wish to thank three anonymous reviewers, the Associate
   Editor, and Dr. Louise Comfort, who thoughtfully and thoroughly engaged
   with and pushed our thinking and articulation in this paper. This work
   was developed as part of the Water and Health Infrastructure Resilience
   and Learning (WHIRL) project funded by the National Science Foundation
   (NSF) under Grant No. CBET-1832692. We are grateful for feedback
   provided by other WHIRL collaborators that enhanced this work. The
   content is solely the responsibility of the authors and does not
   necessarily represent the official views of the NSF.
CR Ackerman Fred., 2011, LAST DROP CLIMATE CH
   Adger W.N., 2003, IHDP UPDATE, V2, P1
   Aldrich DanielP., 2012, Building resilience: Social capital in post-disaster recovery, DOI 10.7208/chicago/9780226012896.001.0001
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Allmark P, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-62
   American Water Works Association, 2010, J10010R13 ANSIAWWA
   Antonacopoulou EP, 2014, J MANAGE INQUIRY, V23, P5, DOI 10.1177/1056492612472730
   Ashby W.R., 2011, EMERGENCE-COMPLEX OR, V13, P190
   Ayyub BM, 2015, ASCE-ASME J RISK U A, V1, DOI 10.1061/AJRUA6.0000826
   Balaei B, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000292
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Birkland T., 1998, Journal of Public Policy, V18, P53, DOI DOI 10.1017/S0143814X98000038
   Birkland T, 2008, PUBLIUS J FEDERALISM, V38, P692, DOI 10.1093/publius/pjn020
   Blake NelsonManfred., 1956, Water for the Cities: A History of the Urban Water Supply Problem in the United States
   Boin A., 2007, J CCM, V15, P50, DOI DOI 10.1111/J.1468-5973.2007.00504.X
   Bottrell D., 2009, QUAL SOC WORK, V8, P321, DOI [DOI 10.1177/1473325009337840, 10.1177/1473325009337840]
   Bourbeau P, 2018, INT POLIT SOCIOL, V12, P19, DOI 10.1093/ips/olx026
   Bourbeau P, 2015, INT STUD REV, V17, P374, DOI 10.1111/misr.12226
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Butler LJ, 2016, ENVIRON JUSTICE, V9, P93, DOI 10.1089/env.2016.0014
   Buzzanell PM, 2021, MANAGE COMMUN Q, V35, P127, DOI 10.1177/0893318920975211
   Buzzanell PM, 2018, J APPL COMMUN RES, V46, P14, DOI 10.1080/00909882.2018.1426711
   Buzzanell PM, 2010, J COMMUN, V60, P1, DOI 10.1111/j.1460-2466.2009.01469.x
   Cairns-Nagi JM, 2013, SOC SCI MED, V91, P229, DOI 10.1016/j.socscimed.2013.03.014
   Capano G, 2017, POLICY SCI, V50, P399, DOI 10.1007/s11077-016-9273-x
   Carvalhaes T, 2022, ANN AM ASSOC GEOGR, V112, P2413, DOI 10.1080/24694452.2022.2071200
   Centers for Disease Control and Prevention (CDC), 2018, PUBL HLTH EM PREP RE
   Cilliers P, 2013, ECOL SOC, V18, DOI 10.5751/ES-05382-180301
   Coleman N, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000401
   Cooke N.J., 2015, Enhancing the Effectiveness of Team Science, DOI [10.17226/19007, DOI 10.17226/19007]
   Davis C. A., 2018, ESTABLISHING CHARACT
   Davis CA, 2021, NAT HAZARDS REV, V22, DOI 10.1061/(ASCE)NH.1527-6996.0000431
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dig Deep Right to Water Project US Water Alliance, 2019, CLOS WAT ACC GAP US
   Drevno A, 2018, CALIF AGR, V72, P127, DOI 10.3733/ca.2018a0015
   Edwards M, 2009, ENVIRON SCI TECHNOL, V43, P1618, DOI 10.1021/es802789w
   Evans Brad., 2015, Resilient Life: The Art of Living Dangerously
   Field C.B., 2012, SPECIAL REPORT IPCC
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Fridell M, 2020, INT J HEALTH POLICY, V9, P6, DOI 10.15171/ijhpm.2019.71
   Garrett PM, 2016, BRIT J SOC WORK, V46, P1909, DOI 10.1093/bjsw/bcv017
   Gheisi A, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000690
   Glonti K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0123117
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   HAAS PM, 1992, INT ORGAN, V46, P1, DOI 10.1017/S0020818300001442
   Hagar A., 2022, CALIFORNIA WATER AGE
   Hall P.A., 2013, Social resilience in the neoliberal era
   Hanna-Attisha M, 2016, AM J PUBLIC HEALTH, V106, P283, DOI 10.2105/AJPH.2015.303003
   Harter T, 2014, CALIF AGR, V68, P54, DOI 10.3733/ca.v068n03p54
   Hellmann O, 2018, INT POLIT SCI REV, V39, P67, DOI 10.1177/0192512117692643
   Hess S, 2013, INT POLIT SCI REV, V34, P254, DOI 10.1177/0192512112460258
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Houston JB, 2015, AM BEHAV SCI, V59, P270, DOI 10.1177/0002764214548563
   Huang SM, 2021, J RURAL STUD, V83, P96, DOI 10.1016/j.jrurstud.2021.02.017
   Huang SM, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000308
   Huck PM, 2004, J TOXICOL ENV HEAL A, V67, P1581, DOI 10.1080/15287390490491891
   Humbert C, 2019, RESILIENCE-ABINGDON, V7, P215, DOI 10.1080/21693293.2019.1613738
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   KAHRL WL, 1976, CALIF HIST QUART, V55, P2, DOI 10.2307/25157605
   Klein Naomi., 2018, The Battle for Paradise: Puerto Rico Takes on the Disaster Capitalists
   Kolar K, 2011, INT J MENT HEALTH AD, V9, P421, DOI 10.1007/s11469-011-9329-2
   Kruk ME, 2015, LANCET, V385, P1910, DOI 10.1016/S0140-6736(15)60755-3
   L'Heureux AV, 2013, J CONTING CRISIS MAN, V21, P211, DOI 10.1111/1468-5973.12030
   Lehrman B, 2018, J MAPS, V14, P52, DOI 10.1080/17445647.2018.1473815
   Lempert R. J., 2019, ROBUST DECISION MAKI
   Li Yao., 2018, Playing by the Informal Rules: Why the Chinese Regime Remains Stable Despite Rising Protests
   Liu WT, 2014, ECOL SOC, V19, DOI 10.5751/ES-06843-190421
   Mann ME, 2015, P NATL ACAD SCI USA, V112, P3858, DOI 10.1073/pnas.1503667112
   Martusewicz RA., 2015, EcoJustice education: Towards diverse, democratic and sustainable communities, V2nd
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Melosi M.V., 2000, The Sanitary City: Urban Infrastructure in America from Colonial Times to the Present
   MELOSI MV, 1980, J AM CULTURE, V3, P526, DOI 10.1111/j.1542-734X.1980.0303_526.x
   Menakem R., 2017, MY GRANDMOTHERS HAND
   Morley K. M., 2012, THESIS G MASON U
   Morris KS, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000142
   Morton MJ, 2013, AM J PUBLIC HEALTH, V103, P1158, DOI 10.2105/AJPH.2013.301354
   Mostafavi A, 2018, NAT HAZARDS REV, V19, DOI [10.1061/(ASCE)NH.1527-6996.0000263, 10.1061/(asce)nh.1527-6996.0000263]
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Newell JM, 2020, SOC WORK, V65, P65, DOI 10.1093/sw/swz044
   NIST, 2015, Community resilience planning guide for buildings and infrastructure systems: Volume II
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Nowling WD, 2020, J APPL COMMUN RES, V48, P270, DOI 10.1080/00909882.2020.1734224
   Noyes Dorothy., 2016, HUMBLE THEORY FOLKLO
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   OShay S., 2020, BOIL WATER ADVISORIE
   Ostfeld A, 2004, J WATER RES PLAN MAN, V130, P377, DOI 10.1061/(ASCE)0733-9496(2004)130:5(377)
   Pagano A, 2018, COMPLEXITY, DOI 10.1155/2018/3074791
   Park Y, 2020, J SOC WORK, V20, P152, DOI 10.1177/1468017318792953
   Petrescu D, 2016, BUILD RES INF, V44, P717, DOI 10.1080/09613218.2016.1214891
   Pinkerton J, 2007, CHILD FAM SOC WORK, V12, P219, DOI 10.1111/j.1365-2206.2007.00497.x
   Platt R.H., 2012, Disasters and democracy: the politics of extreme natural events
   Quarantelli EnricoL., 2005, What Is a Disaster: New Answers to Old Questions, P325
   Rabin R, 2008, AM J PUBLIC HEALTH, V98, P1584, DOI 10.2105/AJPH.2007.113555
   Ravenel MazyckP., 1970, HALF CENTURY PUBLIC
   Reed SO, 2013, ENVIRON URBAN, V25, P393, DOI 10.1177/0956247813501136
   Roberts P, 2009, ADMIN SOC, V41, P763, DOI 10.1177/0095399709345628
   Rodin Judith., 2014, RESILIENCE DIVIDEND
   Rogov M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124431
   Rose S, 2020, J SOC WORK, V20, P23, DOI 10.1177/1468017318793614
   Ross A.D., 2013, Local disaster resilience: Administrative and political perspectives, DOI DOI 10.4324/9780203551912
   Seeger MW, 2006, J APPL COMMUN RES, V34, P232, DOI 10.1080/00909880600769944
   Senier S., 2014, RESILIENCE J ENV HUM, V1, DOI [10.5250/RESILIENCE.1.2.009, DOI 10.5250/RESILIENCE.1.2.009]
   Service RF, 2009, SCIENCE, V323, P1665, DOI 10.1126/science.323.5922.1665
   Smith O. G., 2018, FLINTS HIST EMERGENC
   Somers S., 2009, J CONTINGENCIES CRIS, V17, P12, DOI [10.1111/j.1468-5973.2009.00558.x, DOI 10.1111/J.1468-5973.2009.00558.X]
   Spialek ML, 2018, COMMUN RES, V45, P934, DOI 10.1177/0093650217697521
   Stark A, 2014, AUST J POLIT SCI, V49, P300, DOI 10.1080/10361146.2014.899966
   Stokols D., 2018, Social ecology in the digital age: Solving complex problems in a globalized world
   SU YC, 1987, J HYDRAUL ENG-ASCE, V113, P1539, DOI 10.1061/(ASCE)0733-9429(1987)113:12(1539)
   Tarr JoelA., 1996, SEARCH ULTIMATE SINK
   Thomasson ED, 2017, PUBLIC HEALTH REP, V132, P196, DOI 10.1177/0033354917691257
   Tiemann M., 2017, Safe Drinking Water Act (SDWA): A Summary of the Act and Its Major Requirements
   Tierney K, 2015, AM BEHAV SCI, V59, P1327, DOI 10.1177/0002764215591187
   Turenne CP, 2019, SOC SCI MED, V232, P168, DOI 10.1016/j.socscimed.2019.04.020
   Turley B., 2016, THESIS OHIO STATE U
   USEPA, 2015, DRINK WAT CONT
   van Breda AD, 2016, HUM SERV ORG MANAGE, V40, P62, DOI 10.1080/23303131.2015.1093571
   WAGNER JM, 1988, J WATER RES PL-ASCE, V114, P253, DOI 10.1061/(ASCE)0733-9496(1988)114:3(253)
   Walker B, 2004, ECOL SOC, V9
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Water Education Foundation, CAL WAT 101
   Weick KE, 2015, MANAGEMENT, V18, P189, DOI 10.3917/mana.182.0189
   Whelton AJ, 2017, ENVIRON SCI-WAT RES, V3, P312, DOI [10.1039/c5ew00294j, 10.1039/C5EW00294J]
   Whelton AJ, 2015, ENVIRON SCI TECHNOL, V49, P813, DOI 10.1021/es5040969
   White GF, 1999, ENVIRONMENT, V41, pCOVER2
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Williams AP, 2022, NAT CLIM CHANGE, V12, P232, DOI 10.1038/s41558-022-01290-z
   Yodo N, 2016, J MECH DESIGN, V138, DOI 10.1115/1.4034223
   Zahran S, 2018, P NATL ACAD SCI USA, V115, pE1730, DOI 10.1073/pnas.1718679115
   Zautra A.J., 2010, Handbook of adult resilience, P3
NR 134
TC 3
Z9 3
U1 19
U2 32
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
J9 NAT HAZARDS REV
JI Nat. Hazards Rev.
PD AUG 1
PY 2023
VL 24
IS 3
AR 03123004
DI 10.1061/NHREFO.NHENG-1471
PG 15
WC Engineering, Civil; Environmental Studies; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
GA J6YC6
UT WOS:001011046300020
DA 2025-04-22
ER

PT J
AU Qin, WM
   Lin, AW
   Fang, J
   Wang, LC
   Li, M
AF Qin, Wenmin
   Lin, Aiwen
   Fang, Jian
   Wang, Lunche
   Li, Man
TI Spatial and temporal evolution of community resilience to natural
   hazards in the coastal areas of China
SO NATURAL HAZARDS
LA English
DT Article
DE Community resilience; Natural hazards; Coastal areas; China
ID SOCIAL VULNERABILITY; CLIMATE-CHANGE; URBAN RESILIENCE; DISASTERS;
   CAPACITY; RECOVERY; DROUGHT; PEOPLE; FOOD
AB With the accelerating progress of industrialization, urbanization and population growth in recent decades, community resilience, the ability of communities to function effectively and recover successfully in the aftermath of disasters and shocks, has received great attentions. A number of studies had been conducted focusing on community resilience. This article applied community resilience framework to the coastal areas of China, which are the most densely populated and economically developed areas in China with the most frequent marine disasters. City-level social and economic data were used to construct a community resilience index (CRI). Using factor analysis and the global principal component analysis method, 55 city-level indexes were reduced into 15 factors that explain 73.99% of the variance. Getis-Ord G* Statistics were used to depict the high-value clusters and low-value clusters of the CRI. Clearly identified spatial and temporal variations of the CRI showed that both the overall level and regional differences of the CRI increased from 2003 to 2013; the overall spatial agglomeration characteristic of community resilience was not significant. Our findings also highlighted the key elements to improving community resilience: a robust and developed economic system; excellent education programs and training to improve consciousness on disaster prevention and mitigation; adequate investment on critical infrastructure, especially transportation and communication; proper environmental policies to protect ecosystems and water rouses; and extra attention and disaster risk budgets for vulnerable populations.
C1 [Qin, Wenmin; Lin, Aiwen; Fang, Jian] Wuhan Univ, Sch Resources & Environm Sci, Wuhan, Hubei, Peoples R China.
   [Wang, Lunche] China Univ Geosci, Sch Earth Sci, Wuhan, Hubei, Peoples R China.
   [Li, Man] Wuhan Univ, Econ & Management Sch, Wuhan, Hubei, Peoples R China.
C3 Wuhan University; China University of Geosciences; Wuhan University
RP Lin, AW; Fang, J (corresponding author), Wuhan Univ, Sch Resources & Environm Sci, Wuhan, Hubei, Peoples R China.
EM nanian260@gmail.com; fj20061028@126.com
RI Fang, Jian/AAX-2931-2021
OI Wang, Lunche/0000-0001-7783-5725
FU Natural Science Foundation of China [41601561]; China Postdoctoral
   Science Foundation [2015M582263]
FX This work was supported by the Natural Science Foundation of China
   project "Flood risk assessment in Yangtze River basin based on future
   scenarios" (No. 41601561) and China Postdoctoral Science Foundation
   project "Analysis of temporal and spatial variation of flood disaster
   and the impacts of climate change" (No. 2015M582263). Meanwhile, the
   authors would like to thank the editor and anonymous reviewers for their
   constructive comments and remarks.
CR Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Alessa L, 2008, ENVIRON MANAGE, V42, P523, DOI 10.1007/s00267-008-9152-0
   Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   [Anonymous], 2008, COMMUNITY RESILIENCE
   [Anonymous], ESRI GUIDE GIS ANAL
   [Anonymous], 2015, GLOB ASS REP DIS RIS
   Bergstrand K, 2015, SOC INDIC RES, V122, P391, DOI 10.1007/s11205-014-0698-3
   Brock MA, 2003, FRESHWATER BIOL, V48, P1207, DOI 10.1046/j.1365-2427.2003.01083.x
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Cutter S.L., 2010, J HOMEL SECUR EMERG, V7, P1271
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Darychuk A, 2015, AFFILIA J WOM SOC WO, V30, P447, DOI 10.1177/0886109915572845
   Edmonds AS, 2008, J HOMEL SECUR EMERG, V5
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   [方佳毅 Fang Jiayi], 2015, [北京师范大学学报. 自然科学版, Journal of Beijing Normal University. Natural Science], V51, P280
   Ge Y, 2013, STOCH ENV RES RISK A, V27, P1899, DOI 10.1007/s00477-013-0725-y
   GETIS A, 1992, GEOGR ANAL, V24, P189, DOI 10.1111/j.1538-4632.1992.tb00261.x
   H. John Heinz III Center for Science Economics and the Environment, 2000, HIDD COSTS COAST HAZ, P252
   Harris KI, 2015, INT J CHILD SPIRITUA, V20, P161, DOI 10.1080/1364436X.2015.1086728
   Hou JD, 2016, NAT HAZARDS, V84, pS97, DOI 10.1007/s11069-015-1931-3
   Kim JO, 1994, CAN MED ASSOC J, V161, P1414
   King CA, 2008, SYST RES BEHAV SCI, V25, P111, DOI 10.1002/sres.854
   Lawley DN, 1962, STATISTICIAN, V12, P209, DOI DOI 10.2307/2986915
   Ledger ME, 2012, ADV ECOL RES, V46, P211, DOI 10.1016/B978-0-12-396992-7.00003-4
   Liu DL, 2016, NAT HAZARD EARTH SYS, V16, P1123, DOI 10.5194/nhess-16-1123-2016
   Liu XQ, 2016, INT J OFFSHORE POLAR, V26, P192, DOI 10.17736/ijope.2016.jc639
   Marin LEM, 2016, AGR HUM VALUES, V33, P179, DOI 10.1007/s10460-015-9628-5
   Mason G, 2013, BR J CRIMINOL, V2013
   Mileti D.S., 1999, DISASTER DESIGN
   Morrow BH, 1999, DISASTERS, V23, P1, DOI 10.1111/1467-7717.00102
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Nystad K, 2014, TRANSCULT PSYCHIATRY, V51, P651, DOI 10.1177/1363461514532511
   Paton D, 2001, NAT HAZARDS, V24, P157, DOI 10.1023/A:1011882106373
   Perz SG, 2010, RURAL SOCIOL, V75, P300, DOI 10.1111/j.1549-0831.2009.00008.x
   Qin D, 2016, SPR ENVIR SCI ENG, P1, DOI 10.1007/978-3-662-48482-1
   Reimann C, 2011, STAT DATA ANAL EXPLA, P211
   Saavedra C, 2009, HABITAT INT, V33, P246, DOI 10.1016/j.habitatint.2008.10.004
   Sadiq AA, 2015, NAT HAZARDS, V78, P1413, DOI 10.1007/s11069-015-1776-9
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Shi XW, 2015, NAT HAZARDS, V79, P237, DOI 10.1007/s11069-015-1838-z
   Smith TF, 2011, FUTURES, V43, P673, DOI 10.1016/j.futures.2011.05.008
   Su SL, 2015, OCEAN COAST MANAGE, V116, P1, DOI 10.1016/j.ocecoaman.2015.06.026
   Tierney K.J., 2002, Disaster Prevention and Management: An International Journal, V11, P222, DOI DOI 10.1108/DPM.2002.11.3.222.1
   Wilson G, 2010, T I BRIT GEOGR, V35, P364
   Wilson GA, 2013, AREA, V45, P207, DOI 10.1111/area.12012
   Xerandy, 2016, SAFETY SCI, V90, P84, DOI 10.1016/j.ssci.2016.05.010
   Yang SN, 2015, NAT HAZARDS, V76, P1, DOI 10.1007/s11069-014-1225-1
   Yi LX, 2014, ENVIRON EARTH SCI, V71, P3109, DOI 10.1007/s12665-013-2689-0
   Yin J, 2012, J COAST CONSERV, V16, P123, DOI 10.1007/s11852-012-0180-9
   Zhang N, 2013, CHINESE SCI BULL, V58, P2387, DOI 10.1007/s11434-013-5835-x
   Zhang YL, 2014, NAT HAZARDS, V71, P2113, DOI 10.1007/s11069-013-0996-0
   Zhou Y, 2014, NAT HAZARDS, V71, P2165, DOI 10.1007/s11069-013-1003-5
NR 56
TC 35
Z9 38
U1 9
U2 153
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD OCT
PY 2017
VL 89
IS 1
BP 331
EP 349
DI 10.1007/s11069-017-2967-3
PG 19
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA FG0VD
UT WOS:000409497100016
DA 2025-04-22
ER

PT J
AU Ashley, R
   Lundy, L
   Ward, S
   Shaffer, P
   Walker, L
   Morgan, C
   Saul, A
   Wong, T
   Moore, S
AF Ashley, Richard
   Lundy, Lian
   Ward, Sarah
   Shaffer, Paul
   Walker, Louise
   Morgan, Celeste
   Saul, Adrian
   Wong, Tony
   Moore, Sarah
TI Water-sensitive urban design: opportunities for the UK
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER
LA English
DT Article
DE buildings, structures & design; sewers & drains; water supply
ID CLIMATE-CHANGE; MANAGEMENT; FUTURE; CITIES; CITY
AB Water-sensitive urban design (WSUD) is a concept that is gaining support as a means to manage urban water systems in an integrated way through the better positioning of the topic of water in urban planning and design processes. Water-sensitive urban design is emerging in the UK and this paper sets the scene and identifies the opportunities and constraints from a UK perspective. Recent developments in integrated water management, ecosystem services and multifunctional land use provide new opportunities for getting more for less'. These can range from seeing all forms of water as a resource, exploiting opportunities to contribute to the green and blue infrastructure agendas, resilience to climate and other changes. This paper draws on international experience as to how water-sensitive urban design can deliver opportunities; mitigate the urban development challenges; implement and support institutional, regulatory and practical opportunities and demonstrate the benefits of taking a water-sensitive urban design approach in the UK. The key requirements for delivery are highlighted and a proposed vision for water-sensitive urban design in the UK outlined.
C1 [Ashley, Richard; Saul, Adrian; Moore, Sarah] Univ Sheffield, Pennine Water Grp, Sheffield S10 2TN, S Yorkshire, England.
   [Ashley, Richard; Saul, Adrian; Moore, Sarah] Univ Bradford, Pennine Water Grp, Bradford BD7 1DP, W Yorkshire, England.
   [Lundy, Lian] Middlesex Univ, Dept Nat Sci, London N17 8HR, England.
   [Ward, Sarah] Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, Exeter, Devon, England.
   [Shaffer, Paul] Construct Ind Res & Informat Assoc, London, England.
   [Walker, Louise] Univ Leeds, Dept Geog, Leeds, W Yorkshire, England.
   [Morgan, Celeste] AECOM Ltd, Sustainabil Design & Planning, London, England.
   [Wong, Tony] Monash Univ, CRC Water Sensit Cities, Melbourne, Vic 3004, Australia.
C3 University of Sheffield; University of Bradford; Middlesex University;
   University of Exeter; University of Leeds; Monash University
RP Ashley, R (corresponding author), Univ Sheffield, Pennine Water Grp, Sheffield S10 2TN, S Yorkshire, England.
RI Ward, Sarah/AAK-5052-2020; Walker, Louise/K-5423-2015; Ward,
   Sarah/Q-2728-2015
OI Walker, Anne Louise/0000-0001-8312-7987; Ward, Sarah/0000-0002-1432-4204
FU EPSRC [EP/I029346/1] Funding Source: UKRI
CR Allen MichelleElizabeth., 2008, CLEANSING CITY
   [Anonymous], 2010, ELIZABETH 2, VII
   [Anonymous], 2007, SUDS MAN
   [Anonymous], 2011, MAINSTREAMING SUSTAI
   [Anonymous], INT WAT RES ASS 10 W
   [Anonymous], 2011, REV CURRENT KNOWLEDG
   [Anonymous], 2012, CRC WAT SENS CIT
   Armitage N, 2012, WATER SENSITIVE URBA
   Ashley R., 2006, Offprint of Infrastructure to 2030: Telecom, Land Transport, Water and Electricity, P241
   Beddington J, 2010, FOOD ENERGY WATER CL
   Binney P, 2010, CONCL WORLD WAT C MO
   BMT WBM, 2009, EV OPT WAT SENS URB
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Brown R, 2012, CITIES FUTURE SERIES, P29
   Burton A, 2012, VALLEYS COASTS WATER
   Carmon N, 2010, WATER ENVIRON J, V24, P181, DOI 10.1111/j.1747-6593.2009.00172.x
   Cities as Water Supply Catchments, 2012, STORMWATER MANAGEMEN
   Dale VH, 2011, LANDSCAPE ECOL, V26, P755, DOI 10.1007/s10980-011-9606-2
   DCLG, 2011, Code for sustainable homes-technical guide
   DCLG, 2012, TECHN GUID NAT PLANN
   DCLG, 2009, EC S PLANN POL STAT
   Defra, 2007, INTRO GUIDE VALUING
   Defra, 2012, CM8375
   Digman C., 2012, C713 CIRIA
   Donovan I, 2003, WATER SENSITIVE PLAN
   Duffy A, 2012, P IWA C WAT CLIM EN
   EA and Energy Saving Trust (EST), 2009, QUANT EN CARB EFF WA
   Eftec (Economics for the Environment Consultancy), 2010, FLOOD COAST ER RISK
   Ellis JB, 2010, WATER ENVIRON J, V24, P1, DOI 10.1111/j.1747-6593.2009.00203.x
   Elmer V, 2012, CITIES FUTURE SERIES, P193
   European Commission, 2012, WAT SCARC DROUGHTS 2
   Everard M, 2012, WATER ENVIRON J, V26, P165, DOI 10.1111/j.1747-6593.2011.00273.x
   Gersonius B, 2012, P 7 INT C WAT SENS U
   Grigg N.S., 2008, TOTAL WATER MANAGEME
   HMG (Her Majesty's Government), 2011, WAT WHIT PAP
   Hoban A, 2006, P 1 AUSTR INT HYDR C
   House of Lords, 2006, WAT MAN, V1
   Howe C, 2012, CITIES FUTURE SERIES, P1
   Hoyer Jacqueline., 2011, WATER SENSITIVE URBA
   ICE, 2012, STAT NAT WAT 2012
   Islington Council, 2010, SUST STRAT 2010 12 L
   Kenway SJ, 2012, CITIES FUTURE SERIES, P63
   Khoo T C., 2009, Water Management in 2020 and Beyond, P237, DOI [DOI 10.1007/978-3-540-89346-2_12, 10.1007/978-3-540-89346-212, DOI 10.1007/978-3-540-89346-212]
   Landscape Institute and Town and Country Planning Association, 2012, GREEN INFRASTRUCTURE
   Laws D, 2011, P I CIVIL ENG-ENG SU, V164, P25, DOI 10.1680/ensu.2011.164.1.25
   London Borough of Croydon Kingston University and URS, 2011, DEV URBAN BLUE CORRI
   Luan IOB, 2010, INT J WATER RESOUR D, V26, P65, DOI 10.1080/07900620903392190
   Lundy L, 2011, PROG PHYS GEOG, V35, P653, DOI 10.1177/0309133311422464
   Macpherson L, 2012, CITIES FUTURE SERIES, P123
   Maimone M, 2012, IWA WORLD C WAT CLIM
   Millennium Ecosystem Assessment, 2005, ECOSYSTEMS HUMAN WEL
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Monbiot G, 2012, GUARDIAN, P25
   NAO (National Audit Office), 2011, FLOOD RISK MANAGEMEN
   Nelson V, 2012, CITIES FUTURE SERIES, P9
   Newman R, 2011, P I CIVIL ENG-ENG SU, V164, P95, DOI 10.1680/ensu.1000032
   Novotny V, 2011, WATER SCI TECHNOL, V63, P184, DOI 10.2166/wst.2011.031
   Novotny V, 2012, CITIES FUTURE SERIES, P171
   Philadelphia Water Department, 2009, PHIL COMB SEW OV LON, V2
   Potter K, 2011, P I CIVIL ENG-ENG SU, V164, P239, DOI 10.1680/ensu.2011.164.4.239
   Potz H., 2012, URBAN BLUE GREEN GRI
   Queensland Queensland Floods Commission of Inquiry, 2012, FIN REP
   Scottish Government, 2012, SCOTL HYDR PROSP PRO
   Shaffer P, 2012, P INT C WAT SENS URB
   Sieker H., 2008, P 11 INT C URB DRAIN
   Thurston H.W., 2012, EC INCENTIVES STORMW
   Water UK, 2011, SUSTAINABILITY INDIC
   Waterwise, 2009, WATER ENERGY IMPLICA
   Wong T, 2006, IWA IAHR JOINT UNPUB
   Wong THF, 2006, WATER PRACT TECHNOL, V1, DOI 10.2166/WPT.2006018
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Wong THF, 2006, AUSTRALAS J WAT RESO, V10, P213, DOI 10.1080/13241583.2006.11465296
   Woods A, 2012, P INT C WAT SENS URB
   Woods-Ballard B, 2012, NAT SUDS C GETT SUDS
   Yorkshire Water, 2012, TAKING RESPONSIBILIT
NR 75
TC 83
Z9 89
U1 4
U2 183
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 0965-0903
EI 1751-7699
J9 P I CIVIL ENG-MUNIC
JI Proc. Inst. Civil Eng.-Munic. Eng.
PD JUN
PY 2013
VL 166
IS 2
BP 65
EP 76
DI 10.1680/muen.12.00046
PG 12
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA 186RX
UT WOS:000322063100002
OA Green Published
DA 2025-04-22
ER

PT J
AU Liu, ZM
   Zhang, JF
   Li, X
   Chen, XL
AF Liu, Zhumei
   Zhang, Jingfa
   Li, Xue
   Chen, Xiaolin
TI Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected
   Counties Using DMSP-OLS Nighttime Light Images
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
LA English
DT Article
DE Resilience; Earthquakes; Economics; Sociology; Computational modeling;
   Urban areas; Soil; Earthquake; hazards; linear regression; remote
   sensing; rural areas
ID INFRASTRUCTURE SYSTEMS; DISASTER RESILIENCE; RECOVERY; FRAMEWORK; AREA
AB This article demonstrates the potential of Defense Meteorological Satellite Program-Operational Linescan System stable nighttime light imagery for county-level earthquake resilience analysis. In this article, we firstly intercalibrated the nighttime light data and calculated the total sum of stable lights for each of the 261 counties affected by the Mw 7.9 Wenchuan earthquake from 1992 to 2013; secondly established an earthquake resilience model based on a nighttime light index to analyze the static and dynamic resilience of different counties; and lastly discussed the possible influencing factors from geographic, disaster-related, political and socioeconomic perspectives. The results first show that the static resilience of the extremely hard-hit counties in the Wenchuan earthquake-affected area increased from south to north along the long axis of the intensity zone, and plain and hilly counties exhibited faster short-term economic recovery than plateau and mountainous counties. Moreover, all extremely hard-hit counties except Wenchuan, Dujiangyan and Pingwu recovered to the normal level before 2011, whereas 52% of the counties in the generally affected areas recovered within three years. Through linear regression analysis, we also found that the different earthquake resilience capabilities across counties are most likely related to the soil liquefaction risk, average elevation, land-use degree, and socioeconomic factors, such as the industrial structure, the population age distribution, and social welfare.
C1 [Liu, Zhumei] China Earthquake Adm, Key Lab Earthquake Engn & Engn Vibrat, Inst Engn Mech, Harbin, Peoples R China.
   [Liu, Zhumei; Li, Xue; Chen, Xiaolin] China Earthquake Adm, Key Lab Earthquake Geodesy, Inst Seismol, Wuhan 430071, Peoples R China.
   [Zhang, Jingfa] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
C3 China Earthquake Administration; Institute of Engineering Mechanics,
   CEA; China Earthquake Administration
RP Li, X (corresponding author), China Earthquake Adm, Key Lab Earthquake Geodesy, Inst Seismol, Wuhan 430071, Peoples R China.; Zhang, JF (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
EM ailiuzhumei@163.com; zhangjingfa@hotmail.com; leexue1211@126.com;
   cxlcug@126.com
RI CHEN, XIAOLIN/AFR-6814-2022
FU Special Item for the Public Welfare of Scientific Research Project from
   Institute of Crustal Dynamics, China Earthquake Administration
   [ZDJ-2017-29]; National Natural Science Foundation of China [42004044]
FX This work was supported in part by the Special Item for the Public
   Welfare of Scientific Research Project from Institute of Crustal
   Dynamics, China Earthquake Administration under Grant ZDJ-2017-29 and in
   part by the National Natural Science Foundation of China under Grant
   42004044.
CR Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   Aldrich DP, 2011, NAT HAZARDS, V56, P595, DOI 10.1007/s11069-010-9577-7
   Bennett MM, 2017, REMOTE SENS ENVIRON, V192, P176, DOI 10.1016/j.rse.2017.01.005
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   [曹子阳 Cao Ziyang], 2015, [地球信息科学学报, Journal of Geo-Information Science], V17, P1092
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chang SE, 2014, RISK ANAL, V34, P416, DOI 10.1111/risa.12133
   Chen RF, 2006, ENG GEOL, V88, P160, DOI 10.1016/j.enggeo.2006.09.008
   Chen ZQ, 2021, EARTH SYST SCI DATA, V13, P889, DOI 10.5194/essd-13-889-2021
   China Government Net, 2008, MOST BUILD COLL BEIC
   COLE S, 1993, NCEER930002
   Contreras D, 2016, CARTOGR GEOGR INF SC, V43, P115, DOI 10.1080/15230406.2015.1029520
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Dell'Acqua F, 2012, P IEEE, V100, P2876, DOI 10.1109/JPROC.2012.2196404
   Dong LG, 2013, ISPRS J PHOTOGRAMM, V84, P85, DOI 10.1016/j.isprsjprs.2013.06.011
   Elvidge C.D., 2014, GLOBAL URBAN MONITOR
   Elvidge CD, 1997, PHOTOGRAMM ENG REM S, V63, P727
   Elvidge CD, 2009, ENERGIES, V2, P595, DOI 10.3390/en20300595
   Feder A, 2013, J AFFECT DISORDERS, V147, P156, DOI 10.1016/j.jad.2012.10.027
   Gao SJ, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12122009
   Gaston KJ, 2013, BIOL REV, V88, P912, DOI 10.1111/brv.12036
   Geiss C, 2013, NAT HAZARDS, V68, P7, DOI 10.1007/s11069-012-0322-2
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Houston JB, 2015, DISASTERS, V39, P1, DOI 10.1111/disa.12092
   Huang QX, 2014, REMOTE SENS-BASEL, V6, P6844, DOI 10.3390/rs6086844
   Klomp J, 2016, GLOBAL ENVIRON CHANG, V36, P67, DOI 10.1016/j.gloenvcha.2015.11.001
   Lam NSN, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000193
   Levin N, 2020, REMOTE SENS ENVIRON, V237, DOI 10.1016/j.rse.2019.111443
   Levin N, 2012, REMOTE SENS ENVIRON, V119, P1, DOI 10.1016/j.rse.2011.12.005
   Li Q., 2019, THESIS SW U FINANCE
   Li X, 2020, REMOTE SENS ENVIRON, V247, DOI 10.1016/j.rse.2020.111942
   Li X, 2019, REMOTE SENS ENVIRON, V233, DOI 10.1016/j.rse.2019.111357
   Li X, 2013, IEEE J-STARS, V6, P2302, DOI 10.1109/JSTARS.2013.2241021
   Li XL, 2016, INT J DISAST RISK SC, V7, P393, DOI 10.1007/s13753-016-0109-2
   Li X, 2019, J APPL REMOTE SENS, V13, DOI 10.1117/1.JRS.13.044515
   Li X, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10040588
   Li XC, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0510-y
   [刘婧 LIU Jing], 2006, [地球科学进展, Advance in Earth Sciences], V21, P211
   Liu ZF, 2012, LANDSCAPE URBAN PLAN, V106, P62, DOI 10.1016/j.landurbplan.2012.02.013
   Manighetti I, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59229-3
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Miles SB, 2006, EARTHQ SPECTRA, V22, P439, DOI 10.1193/1.2192847
   National Commission for Disaster Reduction, 2008, COMPR AN ASS WENCH E
   Noy I, 2018, INT REV ENVIRON RESO, V12, P325, DOI 10.1561/101.00000104
   Papadopoulos T, 2017, J CLEAN PROD, V142, P1108, DOI 10.1016/j.jclepro.2016.03.059
   People's Government of Sichuan Province, 2017, WENCHUAN EARTHQUAKE
   Platt S, 2016, INT J DISAST RISK RE, V19, P447, DOI 10.1016/j.ijdrr.2016.05.006
   Potter M. C., 2005, ADV ENG MATH
   Qiang Y, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102115
   Robinson J, 2000, GEOL SOC AM BULL, V112, P364, DOI 10.1130/0016-7606(2000)112<0364:NSASIF>2.3.CO;2
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Steenge AE., 2007, ECON SYST RES, V19, P205, DOI DOI 10.1080/09535310701330308
   Tang CX, 2020, NAT HAZARD EARTH SYS, V20, P1163, DOI 10.5194/nhess-20-1163-2020
   Tang Y., 2019, THESIS CHONGQING U C
   The people's government of Sichuan province office, 2010, 3 YEAR REC TASK COMP
   Timmermann P., 1981, ENV MONOGRAPH, V1, P1
   Tozer B, 2019, EARTH SPACE SCI, V6, P1847, DOI 10.1029/2019EA000658
   Tuttle BT, 2013, PHOTOGRAMM ENG REM S, V79, P287, DOI 10.14358/PERS.79.3.287
   Wang JF, 2018, NAT HAZARD EARTH SYS, V18, P3253, DOI 10.5194/nhess-18-3253-2018
   Wang ZS, 2021, REMOTE SENS ENVIRON, V263, DOI 10.1016/j.rse.2021.112557
   Wessel P, 2019, GEOCHEM GEOPHY GEOSY, V20, P5556, DOI 10.1029/2019GC008515
   Wu JS, 2013, INT J REMOTE SENS, V34, P7356, DOI 10.1080/01431161.2013.820365
   X. News, 2008, X NEWS
   Xiong BS, 2020, GEOD GEODYN, V11, P358, DOI 10.1016/j.geog.2020.05.005
   Yu SS, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020194
   [张宝军 Zhang Baojun], 2018, [灾害学, Journal of Catastrophology], V33, P12
   Zhang QL, 2016, IEEE T GEOSCI REMOTE, V54, P5821, DOI 10.1109/TGRS.2016.2572724
   Zhao M, 2020, IEEE T GEOSCI REMOTE, V58, P1843, DOI 10.1109/TGRS.2019.2949797
   Zhao NZ, 2015, IEEE T GEOSCI REMOTE, V53, P2039, DOI 10.1109/TGRS.2014.2352598
   Zhao XZ, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10101526
   Zheng ZH, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11182185
   Zhong C, 2020, INT J REMOTE SENS, V41, P1555, DOI 10.1080/01431161.2019.1672904
   [周侃 Zhou Kan], 2019, [地理学报, Acta Geographica Sinica], V74, P2078
   Zhuang DF., 1997, J NAT RESOUR, V12, P105, DOI DOI 10.11849/ZRZYXB.1997.02.002
   Zorn C., 2019, Global liquefaction susceptibility map (Version 1) [Data set], DOI 10.5281/zenodo.2583746
NR 76
TC 10
Z9 10
U1 9
U2 52
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
J9 IEEE J-STARS
JI IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.
PY 2021
VL 14
BP 10854
EP 10874
DI 10.1109/JSTARS.2021.3121789
PG 21
WC Engineering, Electrical & Electronic; Geography, Physical; Remote
   Sensing; Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
GA WR7ZC
UT WOS:000714714100006
OA gold
DA 2025-04-22
ER

PT J
AU Ding, AQ
   Cenci, J
   Zhang, JZ
AF Ding, Anqi
   Cenci, Jeremy
   Zhang, Jiazhen
TI Links between the pandemic and urban green spaces, a perspective on
   spatial indices of landscape garden cities in China
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE city resilience; human settlements environment; National landscape
   garden city; public open space; spatial distribution characteristics;
   urban green space
ID ENVIRONMENTAL JUSTICE; ECO-CITY; TRANSFORMATION; HEALTH; AREA
AB The COVID-19 pandemic has inevitably changed people's lifestyles and demands for urban green space and public open space. The National Landscape Garden Cities in China (NLGCC) policy is one of the key development models in China aimed at building sustainable cities and society. In this paper, the development of the study's selection criteria and the significance and benefits of the NLGCC policy are first summarised. 391 cities were chosen from the NLGCC list to analyse the spatial distribution and construction of driving factors. The results show that the NLGCC's selection criteria have shifted from a focus on quantity to overall habitat quality. During the COVID-19 pandemic, city resilience has been examined more closely. The NLGCC policies have boosted to address ecological and environmental crises and enhanced urban disaster preparedness. The spatial distribution analysis shows that the NLGCC is spatially unevenly distributed and has a clustering trend. A total of 54.96% of the NLGCC is concentrated in China's eastern and central regions. The natural environment and socioeconomics are two main categories of driving factors. This study provides significant value to the understanding of the spatial pattern of the NLGCC offers a reference for decision-making about the construction of urban environments worldwide.
C1 [Ding, Anqi] Nanchang Univ, Sch Architecture & Design, Inst Ave 999, Nanchang 330031, Peoples R China.
   [Cenci, Jeremy; Zhang, Jiazhen] Univ Mons, Fac Architecture & Urban Planning, Rue Havre 88, B-7000 Mons, Belgium.
C3 Nanchang University; University of Mons
RP Zhang, JZ (corresponding author), Univ Mons, Fac Architecture & Urban Planning, Rue Havre 88, B-7000 Mons, Belgium.
EM Jiazhen.zhang@umons.ac.be
RI ZHANG, Jiazhen/AAC-2039-2021; Ding, Anqi/GRS-7373-2022
OI ZHANG, Jiazhen/0000-0001-7455-0548
FU University of Mons
FX This work was supported by the University of Mons, grant project CoMod,
   Compacite ? urbaine sous l?angle de la mode ? lisation mathe ? ma- tique
   (the ? orie des graphes et des jeux) of the Faculty of Architecture and
   Urban Planning and the Faculty of Sciences.
CR [Anonymous], 2007, 1 INT WORKSH MAR SPA
   [Anonymous], 2016, HLTH COMM HLTH LIV L
   Beckmann-Wubbelt A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103240
   Beevers Robert., 1988, The Garden City Utopia: A Critical Biography of Ebenezer Howard
   Berdejo-Espinola V, 2021, PEOPLE NAT, V3, P597, DOI 10.1002/pan3.10218
   Buder Stanley., 1990, VISIONARIES PLANNERS
   Chang ICC, 2016, REG STUD, V50, P929, DOI 10.1080/00343404.2015.1108519
   Chen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102892
   Chu Z, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103304
   Dumais G, 2002, REV ECON STAT, V84, P193, DOI 10.1162/003465302317411479
   Feng DR, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2021.105389
   Gao BY, 2014, LAND USE POLICY, V36, P1, DOI 10.1016/j.landusepol.2013.06.007
   Geary RS, 2021, PREV MED, V145, DOI 10.1016/j.ypmed.2021.106425
   Honey-Roses Jordi, 2021, CITIES HLTH, V5, P263, DOI [DOI 10.1080/23748834.2020.1780074, 10.31219/osf.io/rf7xa, DOI 10.31219/OSF.IO/RF7XA]
   Hu T., 2020, Research in Urbanism Series, V6, P99, DOI 10.7480/rius.6.96
   Huang CB, 2018, URBAN FOR URBAN GREE, V30, P295, DOI 10.1016/j.ufug.2017.12.016
   Jain-Chandra M.S., 2018, Inequality in China-trends, drivers and policy remedies
   Jim CY, 2003, LANDSCAPE URBAN PLAN, V65, P95, DOI 10.1016/S0169-2046(02)00244-X
   John G, 2005, BUILD ENVIRON, V40, P319, DOI 10.1016/j.buildenv.2004.05.011
   Joss S, 2013, J URBAN TECHNOL, V20, P115, DOI 10.1080/10630732.2012.735411
   Keswick Maggie., 2003, CHINESE GARDEN HIST, V2003
   Kong FH, 2006, LANDSCAPE URBAN PLAN, V78, P147, DOI 10.1016/j.landurbplan.2005.07.006
   Korpilo S, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.713977
   Koutra S, 2021, Structural Studies, Repairs and Maintenance of Heritage Architecture XVII Earthquake Resistant Engineering Structures XIII, VXIII, P285
   Laver M, 2022, J GERRING W VEENENDA
   Li FZ, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-6871-4
   Li Y, 2022, INT J DIGIT EARTH, V15, P527, DOI 10.1080/17538947.2022.2041117
   Liang X., 2021, CHINA ENV EARTH SCI, V80, P1
   Liu K, 2019, J CLEAN PROD, V206, P356, DOI 10.1016/j.jclepro.2018.09.194
   Liu OY, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102772
   Lu Y, 2021, SCI TOTAL ENVIRON, V777, DOI 10.1016/j.scitotenv.2021.146092
   Meyer N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195514
   Miao JT, 2019, HABITAT INT, V87, P44, DOI 10.1016/j.habitatint.2019.04.004
   NORTH DC, 1994, AM ECON REV, V84, P359
   Olszewska-Guizzo A, 2021, J ENVIRON PSYCHOL, V75, DOI 10.1016/j.jenvp.2021.101590
   Pan JH, 2019, CITIES, V94, P55, DOI 10.1016/j.cities.2019.05.022
   Pearson C, 2021, HUMANISM URBAN WORLD
   Pommerening A, 2020, ECOL MODEL, V435, DOI 10.1016/j.ecolmodel.2020.109232
   Porfyriou H, 2019, HERITAGE-BASEL, V2, P2417, DOI 10.3390/heritage2030149
   Pouso S, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.143984
   Qi Ye Qi Ye, 2008, Journal of Environment & Development, V17, P379, DOI 10.1177/1070496508326123
   Qu S, 2020, ECOL INDIC, V108, DOI 10.1016/j.ecolind.2019.105724
   Quistberg DA, 2022, LANCET PLANET HEALTH, V6, pE122, DOI 10.1016/S2542-5196(21)00323-5
   Sauvé S, 2016, ENVIRON DEV, V17, P48, DOI 10.1016/j.envdev.2015.09.002
   Schrammeijer EA, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103249
   Sepe M, 2021, URBAN DES INT, V26, P159, DOI 10.1057/s41289-021-00153-x
   Shi SH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114103
   Shi Y, 2013, RENEW SUST ENERG REV, V22, P432, DOI 10.1016/j.rser.2013.02.003
   Shorfuzzaman M, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102582
   Song WM, 2015, J GEOPHYS RES-BIOGEO, V120, P1475, DOI 10.1002/2015JG003043
   Su MR, 2010, SCI TOTAL ENVIRON, V408, P2425, DOI 10.1016/j.scitotenv.2010.03.009
   Suárez M, 2020, ENVIRON SCI POLICY, V108, P133, DOI 10.1016/j.envsci.2020.03.014
   Tang YQ, 2018, J APPL REMOTE SENS, V12, DOI 10.1117/1.JRS.12.026004
   Tian GJ, 2012, ECOL MODEL, V231, P25, DOI 10.1016/j.ecolmodel.2012.01.023
   Ugolini F, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126888
   Wang JJ, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103058
   Wang XF, 2021, HERITAGE-BASEL, V4, P2942, DOI 10.3390/heritage4040164
   WHO, 2016, Urban green spaces and health
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wu J, 2022, RESOUR POLICY, V75, DOI 10.1016/j.resourpol.2021.102491
   Xu JP, 2012, DISCRETE DYN NAT SOC, V2012, DOI 10.1155/2012/710854
   Yang G., 2022, CHIN J MECH ENG ADDI, V1, P28
   Ye P., 2011, ADV MAT RES, V243, P6660
   Yuan ZY, 2014, ECOL MODEL, V289, P26, DOI 10.1016/j.ecolmodel.2014.06.015
   Zhang CJ, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13020275
   Zhang HN, 2018, APPL ECOL ENV RES, V16, P4717, DOI 10.15666/aeer/1604_47174734
   Zhang JZ, 2022, ENVIRON SCI POLLUT R, V29, P27124, DOI 10.1007/s11356-021-17866-9
   Zhao H, 2019, J CLEAN PROD, V235, P724, DOI 10.1016/j.jclepro.2019.06.251
   Zhao J., 2011, Towards Sustainable Cities in China, P15, DOI DOI 10.1007/978-1-4419-8243-82
   Zhao JJ, 2013, SCI TOTAL ENVIRON, V442, P455, DOI 10.1016/j.scitotenv.2012.10.014
   Zhou DY, 2018, ECOL INDIC, V95, P152, DOI 10.1016/j.ecolind.2018.07.007
   Zhu JY, 2021, URBAN FOR URBAN GREE, V58, DOI 10.1016/j.ufug.2020.126913
NR 72
TC 39
Z9 39
U1 5
U2 83
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD OCT
PY 2022
VL 85
AR 104046
DI 10.1016/j.scs.2022.104046
EA JUL 2022
PG 12
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA 3C4TL
UT WOS:000828616900002
PM 35818589
OA Green Published
DA 2025-04-22
ER

PT J
AU Gu, Y
   Fu, X
   Liu, ZY
   Xu, XD
   Chen, A
AF Gu, Yu
   Fu, Xiao
   Liu, Zhiyuan
   Xu, Xiangdong
   Chen, Anthony
TI Performance of transportation network under perturbations: Reliability,
   vulnerability, and resilience
SO TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
LA English
DT Article
DE Urban transportation networks; Perturbations; Reliability;
   Vulnerability; Resilience
ID TRAVEL-TIME RELIABILITY; CAPACITY RELIABILITY; ROAD NETWORK; MODEL;
   RISK; ACCESSIBILITY; SYSTEMS; IDENTIFICATION; DEFINITIONS; STABILITY
AB We review recent studies on transportation network performance under perturbations. Three representative concepts relating to network performance are covered: reliability, vulnerability, and resilience. With an overview of the definitions and the quantitative indices of these three concepts, we analyse and compare their similarities and differences in the context of transportation. These concepts differ from each other in terms of focus, measurement, and application scenario. Numerical examples are conducted to assess these concepts under different perturbation scenarios. The results indicate their rationale in reflecting network performance under perturbations, yet their outputs differ. Moreover, the relationship among the three concepts is intuitively illustrated by the analysis results.
C1 [Gu, Yu; Fu, Xiao; Liu, Zhiyuan] Southeast Univ, Sch Transportat, Jiangsu Key Lab Urban ITS, Jiangsu Prov Collaborat Innovat Ctr Modem Urban T, Nanjing, Peoples R China.
   [Xu, Xiangdong] Tongji Univ, Coll Transportat Engn, Shanghai, Peoples R China.
   [Gu, Yu; Chen, Anthony] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China.
C3 Southeast University - China; Tongji University; Hong Kong Polytechnic
   University
RP Liu, ZY (corresponding author), Southeast Univ, Sch Transportat, Jiangsu Key Lab Urban ITS, Jiangsu Prov Collaborat Innovat Ctr Modem Urban T, Nanjing, Peoples R China.
EM 220162610@seu.edu.cn; fuxiao@seu.edu.cn; zhiyuanl@seu.edu.cn;
   xiangdongxu@tongji.edu.cn; anthony.chen@polyu.edu.hk
RI Liu, Zhiyuan/J-6671-2014; Xu, Xiangdong/B-8986-2011; Fu,
   Xiao/AAR-3856-2021; CHEN, Anthony/IWM-5418-2023
OI Fu, Xiao/0000-0003-0446-0971; Gu, Yu/0000-0002-2757-3066; CHEN,
   Anthony/0000-0003-4363-5041
FU National Natural Science Foundations of China [71601045, 71771049];
   Research Grants Council of the Hong Kong Special Administrative Region
   [15267116]; Research Committee of the Hong Kong Polytechnic University
   [1-ZVJV]
FX The work described in this paper was jointly supported by the National
   Natural Science Foundations of China (71601045, 71771049), the Research
   Grants Council of the Hong Kong Special Administrative Region (Project
   No. 15267116) and the Research Committee of the Hong Kong Polytechnic
   University (Project No. 1-ZVJV).
CR Abegaz D, 2017, TRANSPORT RES B-METH, V104, P409, DOI 10.1016/j.trb.2017.08.001
   [Anonymous], 1995, Transportation Research Record
   Asakura Y., 1991, P 19 PTRC SUMMER ANN, P73
   Aven T, 2011, RISK ANAL, V31, P515, DOI 10.1111/j.1539-6924.2010.01528.x
   Bates J, 2001, TRANSPORT RES E-LOG, V37, P191, DOI 10.1016/S1366-5545(00)00011-9
   Bell MGH, 2017, TRANSPORT RES B-METH, V99, P251, DOI 10.1016/j.trb.2017.03.002
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Berche B, 2012, ADV COMPLEX SYST, V15, DOI 10.1142/S0219525912500634
   Berdica K., 2002, Transp. Policy, V9, P117, DOI [DOI 10.1016/S0967-070X(02)00011-2, 10.1016/S0967-070X, DOI 10.1016/S0967-070X]
   Bier V, 2019, EUR J OPER RES, V276, P626, DOI 10.1016/j.ejor.2019.01.011
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Carrion C, 2012, TRANSPORT RES A-POL, V46, P720, DOI 10.1016/j.tra.2012.01.003
   Chang JS, 2010, J TRANSP GEOGR, V18, P419, DOI 10.1016/j.jtrangeo.2009.06.012
   Chen A, 2002, TRANSPORT RES B-METH, V36, P225, DOI 10.1016/S0191-2615(00)00048-5
   Chen A, 1999, J ADV TRANSPORT, V33, P183, DOI 10.1002/atr.5670330207
   Chen A, 2007, NETW SPAT ECON, V7, P241, DOI 10.1007/s11067-006-9012-5
   Chen A, 2013, J ADV TRANSPORT, V47, P79, DOI 10.1002/atr.216
   Chen A, 2011, TRANSPORT RES A-POL, V45, P105, DOI 10.1016/j.tra.2010.11.003
   Chen BY, 2012, TRANSPORT RES A-POL, V46, P501, DOI 10.1016/j.tra.2011.11.018
   Chen BY, 2011, MATH COMPUT MODEL, V54, P1428, DOI 10.1016/j.mcm.2011.04.015
   Chen H, 2017, TRANSPORT RES E-LOG, V97, P282, DOI 10.1016/j.tre.2016.10.008
   Cheng QX, 2019, TRANSPORTMETRICA B, V7, P1286, DOI 10.1080/21680566.2019.1602487
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   D'Este GM, 2003, NETWORK RELIABILITY OF TRANSPORT, PROCEEDINGS, P23, DOI 10.1016/B978-008044109-2/50003-3
   de Oliveira EL, 2016, TRANSPORT RES A-POL, V88, P195, DOI 10.1016/j.tra.2016.04.004
   de Palma A, 2005, TRANSPORT RES A-POL, V39, P295, DOI 10.1016/j.tra.2004.10.001
   Demar Urka., 2008, Transactions in GIS, V12, P61, DOI DOI 10.1111/J.1467-9671.2008.01086.X
   Dunn S, 2016, TRANSPORT RES E-LOG, V90, P39, DOI 10.1016/j.tre.2015.09.011
   Engelson L, 2016, TRANSPORT RES B-METH, V91, P555, DOI 10.1016/j.trb.2016.06.012
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Faturechi R, 2014, TRANSPORT RES B-METH, V70, P47, DOI 10.1016/j.trb.2014.08.007
   Faturechi R, 2014, COMPUT-AIDED CIV INF, V29, P572, DOI 10.1111/mice.12027
   Fosgerau M, 2012, TRANSPORT RES C-EMER, V24, P83, DOI 10.1016/j.trc.2012.02.008
   Fosgerau M, 2010, TRANSPORT RES B-METH, V44, P38, DOI 10.1016/j.trb.2009.05.002
   Fu X, 2018, J ADV TRANSPORT, DOI 10.1155/2018/9247102
   Fu X, 2018, TRANSPORTATION, V45, P23, DOI 10.1007/s11116-016-9720-8
   Fu X, 2014, J ADV TRANSPORT, V48, P66, DOI 10.1002/atr.202
   Fu X, 2014, TRANSPORTATION, V41, P37, DOI 10.1007/s11116-013-9470-9
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Husdal J., 2005, P TRANSP RES BOARD A
   Iida Y., 1989, P 5 WCTR, V37, P367
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Jenelius E, 2006, TRANSPORT RES A-POL, V40, P537, DOI 10.1016/j.tra.2005.11.003
   Jenelius E, 2012, TRANSPORT RES A-POL, V46, P746, DOI 10.1016/j.tra.2012.02.003
   Jiang YL, 2018, TRANSPORT POLICY, V63, P10, DOI 10.1016/j.tranpol.2017.11.003
   Kaviani A, 2017, TRANSPORTMETRICA A, V13, P794, DOI 10.1080/23249935.2017.1335807
   Kurauchi F, 2009, TRANSPORTATION AND TRAFFIC THEORY 2009: GOLDEN JUBILEE, P637, DOI 10.1007/978-1-4419-0820-9_31
   Lam TC, 2001, TRANSPORT RES E-LOG, V37, P231, DOI 10.1016/S1366-5545(00)00016-8
   Lei C, 2016, INT J EMBED SYST, V8, P1, DOI 10.1504/IJES.2016.073746
   Li DQ, 2015, P NATL ACAD SCI USA, V112, P669, DOI 10.1073/pnas.1419185112
   Li XA, 2015, TRANSPORTMETRICA A, V11, P856, DOI 10.1080/23249935.2015.1087695
   Li Z, 2010, TRANSPORT RES E-LOG, V46, P384, DOI 10.1016/j.tre.2009.12.005
   Li ZC, 2008, NETW SPAT ECON, V8, P355, DOI 10.1007/s11067-007-9018-7
   Liu J, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081479
   Liu ZY, 2019, TRANSPORT RES C-EMER, V108, P130, DOI 10.1016/j.trc.2019.09.006
   Liu ZY, 2018, TRANSPORT RES B-METH, V117, P37, DOI 10.1016/j.trb.2018.08.004
   Lo HK, 2006, TRANSPORT RES B-METH, V40, P792, DOI 10.1016/j.trb.2005.10.003
   Lomax T., 2003, TTI20033
   Luathep P, 2011, TRANSPORTATION, V38, P799, DOI 10.1007/s11116-011-9350-0
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   Mine H., 1982, MATH RELIABILITY AVA
   Morlok EK, 2004, TRANSPORT RES A-POL, V38, P405, DOI 10.1016/j.tra.2004.03.001
   NGUYEN S, 1984, TRANSPORT SCI, V18, P185, DOI 10.1287/trsc.18.2.185
   Nicholson A, 1997, TRANSPORT RES B-METH, V31, P209, DOI 10.1016/S0191-2615(96)00022-7
   O'Kelly ME, 2015, NETW SPAT ECON, V15, P235, DOI 10.1007/s11067-014-9267-1
   Omer Mayada, 2011, American Journal of Engineering and Applied Sciences, V4, P153, DOI 10.3844/ajeassp.2011.153.161
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Qiang Q, 2008, OPTIM LETT, V2, P127, DOI 10.1007/s11590-007-0049-2
   Reggiani A, 2013, TRANSPORT POLICY, V28, P63, DOI 10.1016/j.tranpol.2012.09.007
   Reggiani A, 2015, TRANSPORT RES A-POL, V81, P4, DOI 10.1016/j.tra.2014.12.012
   Shao H, 2006, TRANSPORT RES REC, P220
   SMALL KA, 1982, AM ECON REV, V72, P467
   Sumalee A, 2006, NETW SPAT ECON, V6, P205, DOI 10.1007/s11067-006-9280-0
   Sun C, 2019, TRANSPORT RES D-TR E, V66, P3, DOI 10.1016/j.trd.2017.03.002
   Talebpour A, 2017, TRANSP RES PROC, V23, P81, DOI 10.1016/j.trpro.2017.05.006
   Taylor M., 2017, VULNERABILITY ANAL T
   Taylor M.A. P., 2007, Critical Infrastructure, Advances in Spatial Science, P9, DOI [DOI 10.1007/978-3-540-68056-7_2, 10.1007/978-3-540-68056-7_2]
   Taylor MAP, 2006, NETW SPAT ECON, V6, P267, DOI 10.1007/s11067-006-9284-9
   Taylor MAP, 2017, TRANSPORT RES B-METH, V97, P50, DOI 10.1016/j.trb.2016.12.001
   Taylor MAP, 2013, TRANSPORTMETRICA B, V1, P174, DOI 10.1080/21680566.2013.859107
   Twumasi-Boakye R., 2018, J TRANSPORT ENG A, V144, P1
   van Lint JWC, 2008, TRANSPORT RES A-POL, V42, P258, DOI 10.1016/j.tra.2007.08.008
   van Loon R, 2011, J TRANSP GEOGR, V19, P917, DOI 10.1016/j.jtrangeo.2010.11.009
   von Ferber C, 2012, J TRANSP SECUR, V5, P199, DOI 10.1007/s12198-012-0092-9
   Wakabayashi H, 2012, J ADV TRANSPORT, V46, P318, DOI 10.1002/atr.1194
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wang DZW, 2016, TRANSPORTMETRICA A, V12, P346, DOI 10.1080/23249935.2015.1137373
   Wang YO, 2015, TRANSPORTMETRICA A, V11, P873, DOI 10.1080/23249935.2015.1087234
   Wong SC, 1997, TRANSPORT RES B-METH, V31, P397, DOI 10.1016/S0191-2615(97)00002-7
   Xu CC, 2018, RELIAB ENG SYST SAFE, V169, P299, DOI 10.1016/j.ress.2017.09.005
   Xu XD, 2018, TRANSPORT RES C-EMER, V94, P338, DOI 10.1016/j.trc.2017.08.015
   Xu XD, 2018, TRANSPORT RES B-METH, V114, P68, DOI 10.1016/j.trb.2018.05.014
   Xu XY, 2019, TRANSPORTMETRICA B, V7, P446, DOI 10.1080/21680566.2018.1434020
   Ye Q, 2015, J TRANSP SAF SECUR, V7, P91, DOI 10.1080/19439962.2014.907384
   Zhalechian M, 2018, TRANSPORT RES E-LOG, V109, P20, DOI 10.1016/j.tre.2017.11.001
   Zhang J, 2015, INT J PATTERN RECOGN, V29, DOI 10.1142/S0218001415520011
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
NR 100
TC 216
Z9 226
U1 77
U2 499
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1366-5545
EI 1878-5794
J9 TRANSPORT RES E-LOG
JI Transp. Res. Pt. e-Logist. Transp. Rev.
PD JAN
PY 2020
VL 133
AR 101809
DI 10.1016/j.tre.2019.11.003
PG 16
WC Economics; Engineering, Civil; Operations Research & Management Science;
   Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Engineering; Operations Research & Management
   Science; Transportation
GA KL2ZZ
UT WOS:000513298400021
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Han, Z
   Ma, DH
   Hou, BW
   Wang, W
AF Han, Zhao
   Ma, Donghui
   Hou, Benwei
   Wang, Wei
TI Seismic Resilience Enhancement of Urban Water Distribution System Using
   Restoration Priority of Pipeline Damages
SO SUSTAINABILITY
LA English
DT Article
DE water distribution system; seismic resilience; post-earthquake
   restoration; repair priority
ID EARTHQUAKE; RELIABILITY; LIFELINES; FRAMEWORK; NETWORKS
AB The malfunction of the water distribution system (WDS) following severe earthquakes have significant impacts on the post-earthquake rescue. Moreover, the restoration priority of earthquake-induced pipeline damages plays an important role in improving the post-earthquake serviceability of WDS and the "seismic resilience". Thus, to enhance the seismic resilience of WDS, this study develops a dynamic cost-benefit method and introduces three existing methods to determine the restoration priority of pipeline damages based on a quantitative resilience evaluation framework. In this resilience evaluation framework, the restoration priority is firstly determined. Then the time-varying performance of post-earthquake WDS is modeled as a discrete event dynamic system. In this model, the system state changes after the reparation of pipeline damage, and the system performance is simulated by a hydraulic model to be consistent with the system state. In this study, this method is also tested and compared with other existing methods, and the results show that the system resilience corresponding to the restoration priority obtained by this method is close to that obtained by the global optimization method with a relative difference of less than 3%, whereas the calculation complexity is about 0.4% of the optimization model. It is concluded that this proposed method is valid.
C1 [Han, Zhao; Hou, Benwei] Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China.
   [Han, Zhao; Ma, Donghui; Wang, Wei] Beijing Univ Technol, Inst Earthquake Resistance & Disaster Reduct, Beijing 100124, Peoples R China.
   [Ma, Donghui; Wang, Wei] Beijing Univ Technol, Coll Architecture & Urban Planning, Beijing 100124, Peoples R China.
C3 Beijing University of Technology; Beijing University of Technology;
   Beijing University of Technology
RP Hou, BW (corresponding author), Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China.
EM hanzbao@emails.bjut.edu.cn; mdh@bjut.edu.cn; benweihou@bjut.edu.cn;
   ieeww@bjut.edu.cn
OI wei, wang/0000-0001-6949-3796; Ma, Donghui/0000-0001-8971-3223; han,
   zhao/0000-0001-9510-255X
FU National Natural Science Foundation of China [51978023, 51678017]
FX This research was funded by the National Natural Science Foundation of
   China, grant numbers 51978023 and 51678017.
CR Adachi T, 2008, RELIAB ENG SYST SAFE, V93, P78, DOI 10.1016/j.ress.2006.10.014
   [Anonymous], 2001, Seismic Fragility Formulations for Water Systems, Part-1-Guidelines Reports
   Baggio S, 2018, ENG STRUCT, V167, P272, DOI 10.1016/j.engstruct.2018.03.093
   Balut A., 2018, PROC 1 INT WDSACCWI
   Bragalli C, 2012, OPTIM ENG, V13, P219, DOI 10.1007/s11081-011-9141-7
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Castelli V., 2012, ANN GEOPHYS, V55
   Castro-Gama M.E., 2018, P 1 INT WAT DISTR SY
   CHOI J, 2018, SUSTAINABILITY-BASEL, V10, DOI DOI 10.3390/SU10103618
   Cimellaro G.P., 2016, J STRUCT ENG, V142
   Dai MZ, 2018, ADV THEOR SIMUL, V1, DOI 10.1002/adts.201800023
   Davis CA, 2014, EARTHQ SPECTRA, V30, P1487, DOI 10.1193/022912EQS058M
   DAVIS T, 1994, PROCEEDINGS OF THE FORTY-SEVENTH ANNUAL MEETING OF THE UTAH MOSQUITO ABATEMENT ASSOCIATION, P15
   Deuerlein J., 2018, P 1 INT WAT DISTR SY
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Giovinazzi S, 2011, BULL N Z SOC EARTHQ, V44, P402, DOI 10.5459/bnzsee.44.4.402-417
   [韩朝 Han Zhao], 2019, [中国科学. 技术科学, Scientia Sinica Technologica], V49, P351
   Hwang, 1998, J INFRASTRUCT SYST, V4, P118, DOI DOI 10.1061/(ASCE)1076-0342(1998)4:3(118)
   Isoyama R, 2000, WATER SUPP, V18, P63
   Jeon SS, 2005, B SEISMOL SOC AM, V95, P294, DOI 10.1785/0120040020
   Kammouh O, 2018, ENG STRUCT, V173, P393, DOI 10.1016/j.engstruct.2018.06.093
   Laucelli D, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000478
   Li J, 2002, EARTHQUAKE ENG STRUC, V31, P1525, DOI 10.1002/eqe.174
   Li Y, 2018, IET MICROW ANTENNA P, V12, P23, DOI 10.1049/iet-map.2017.0159
   Lim HW, 2012, EARTHQ ENG STRUCT D, V41, P1861, DOI 10.1002/eqe.2162
   Liu S., 2013, Investigation Report on Seismic Hazards and Earthquake Relief of Urban Water Supply Systems in the Wenchuan Earthquake
   Liu W, 2012, SCI CHINA TECHNOL SC, V55, P3047, DOI 10.1007/s11431-012-4965-8
   Luna R, 2011, J INFRASTRUCT SYST, V17, P25, DOI 10.1061/(ASCE)IS.1943-555X.0000039
   Morley M.S., 2008, Pressure-driven demand extension for EPANET (EPANETpdd)
   ORourke M. J., 1999, MONOGRAPH SERIES MUL
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V141, P74, DOI 10.1016/j.ress.2015.03.011
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Paez D., 2018, P 1 INT WAT DISTR SY
   Shi P., 2008, Seismic response modeling of water supply systems
   Shi P., 2006, P 8 US NAT C EARTHQ
   Shi PX, 2015, SOIL DYN EARTHQ ENG, V72, P89, DOI 10.1016/j.soildyn.2015.02.006
   Sophocleous S., 2018, P 1 INT WAT DISTR SY
   Tabucchi T., 2008, POSTEARTHQUAKE RESTO
   TAKADA S, 1987, J PRESS VESS-T ASME, V109, P80, DOI 10.1115/1.3264859
   WAGNER JM, 1988, J WATER RES PL-ASCE, V114, P276, DOI 10.1061/(ASCE)0733-9496(1988)114:3(276)
   Yang I.-C., 2019, HONG KONG J EMERG ME
   Yoo DG, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000727
NR 42
TC 19
Z9 22
U1 1
U2 47
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2020
VL 12
IS 3
AR 914
DI 10.3390/su12030914
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA KT6PA
UT WOS:000519135103017
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Battemarco, BP
   Veról, AP
   Miguez, MG
AF Battemarco, Bruna Peres
   Verol, Aline Pires
   Miguez, Marcelo Gomes
TI Methodological framework for quantitative assessment of urban
   development projects considering flood risks and city responses
SO URBAN WATER JOURNAL
LA English
DT Article
DE Water and city interactions; flood risks; decision-making process;
   quantitative assessment; urban planning support tool
ID DRAINAGE SYSTEMS; MANAGEMENT; RESILIENCE; INSIGHTS; SUPPORT; INDEX
AB This work proposes a methodological framework to hierarchize urban development projects, jointly considering flood risk aspects; urban environment restoration; and optimal urban infrastructure use. A hydrodynamic mathematical model is used to support flood mapping. Then, different dimensions of project assessment are represented by multicriteria indexes to approach socioeconomic, urban, and environmental aspects. Finally, the integrated Design Evaluation Index (DEIx) is defined, providing a general measure for supporting decision-making to hierarchize urban development projects, fulfilling the gap of a quantitative integrated measure regarding natural and urban aspects. The proposed method is applied in an exploratory case study in Vargem Grande, an urban expansion neighborhood of Rio de Janeiro/Brazil. The results showed that alternatives combining blue-green infrastructure solutions such as linear parks and retention basins composed more sustainable projects in the long-term perspective. This framework allowed to identify positive behaviors/advantages resulting from each design choice, showing its functionality.
C1 [Battemarco, Bruna Peres; Verol, Aline Pires; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, COPPE, Programa Engn Civil, Av Athos da Silveira Ramos 149,Bloco 1,2 Andar, BR-21941909 Rio De Janeiro, RJ, Brazil.
   [Verol, Aline Pires] Univ Fed Rio de Janeiro, Fac Arquitetura & Urbanismo, Programa Posgrad Arquitetura, Rio De Janeiro, Brazil.
   [Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, Escola Politecn & Escola Quim, Programa Engn Ambiental, Rio De Janeiro, Brazil.
   [Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, Escola Politecn, Programa Engn Urbana, Rio De Janeiro, Brazil.
C3 Universidade Federal do Rio de Janeiro; Universidade Federal do Rio de
   Janeiro; Universidade Federal do Rio de Janeiro; Universidade Federal do
   Rio de Janeiro
RP Battemarco, BP (corresponding author), Univ Fed Rio de Janeiro, COPPE, Programa Engn Civil, Av Athos da Silveira Ramos 149,Bloco 1,2 Andar, BR-21941909 Rio De Janeiro, RJ, Brazil.
EM brunabattemarco@poli.ufrj.br
RI VEROL, ALINE PIRES/R-2750-2017; Miguez, Marcelo Gomes/A-3252-2013
OI VEROL, ALINE PIRES/0000-0001-7793-1143; Miguez, Marcelo
   Gomes/0000-0003-4206-4013; Battemarco, Bruna/0000-0003-1388-4688
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brasil
   (CAPES) [001, 88887.495814/2020-00]; Conselho Nacional de
   Desenvolvimento Cientifico e Tecnologico -Brasil (CNPq) [303862/2020-3];
   Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de
   Janeiro (FAPERJ) [E-26/201.404/2021]
FX This work was supported by the Coordenacao de Aperfeicoamento de Pessoal
   de Nivel Superior-Brasil (CAPES) under Grant [Finance Code 001;
   88887.495814/2020-00]; Conselho Nacional de Desenvolvimento Cientifico e
   Tecnologico -Brasil (CNPq) under Grant [303862/2020-3]; Fundacao Carlos
   Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ)
   under Grant [E-26/201.404/2021].
CR Abdulkareem M, 2018, INT J DISAST RISK RE, V28, P176, DOI 10.1016/j.ijdrr.2018.02.009
   Ali-Toudert F, 2020, PROG PLANN, V140, DOI 10.1016/j.progress.2019.03.001
   Alves PBR, 2021, URBAN WATER J, V18, P530, DOI 10.1080/1573062X.2021.1913505
   Balica, 2007, THESIS UNESCO IHE DE
   Battemarco BP, 2022, J CLEAN PROD, V333, DOI 10.1016/j.jclepro.2021.129993
   Berndtsson R, 2019, J ENVIRON MANAGE, V240, P47, DOI 10.1016/j.jenvman.2019.03.094
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bhave AG, 2018, WATER RESOUR RES, V54, P708, DOI 10.1002/2017WR020970
   Cardeman RogerioGoldfeld., 2014, THESIS PROARQ UFRJ R
   Carmon N, 2010, WATER ENVIRON J, V24, P181, DOI 10.1111/j.1747-6593.2009.00172.x
   Chen Y, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102211
   Cho SY, 2017, NAT HAZARDS, V88, P633, DOI 10.1007/s11069-017-2869-4
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Gencer Ebru A., 2017, How To Make Cities More Resilient. A Handbook for Local Government Leaders
   Guimaraes LF, 2021, ENERGY REP, V7, P8357, DOI 10.1016/j.egyr.2021.07.047
   Gyenizse P., 2014, LANDSC AMP ENV, V8, P78
   Habitat III UN., 2017, HAB 3 ISS PAP, V2015
   Hadidi A, 2020, URBAN WATER J, V17, P407, DOI 10.1080/1573062X.2020.1713172
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   Hoang L, 2016, URBAN WATER J, V13, P739, DOI 10.1080/1573062X.2015.1036083
   IBGE-Instituo Brasileiro de Geografia e Estatistica, 2010, Censo Demografico
   Jha A.K., 2013, BUILDING URBAN RESIL, DOI [10.1596/978-0-8213-8865-5, DOI 10.1596/978-0-8213-8865-5]
   Kato S., 2009, Journal of The Japanese Institute of Landscape Architecture, V72, P799, DOI [DOI 10.5632/JILA.72.799, 10.5632/jila.72.799]
   Kellon D, 2011, J ENVIRON MANAGE, V92, P363, DOI 10.1016/j.jenvman.2010.10.010
   Kuhlicke C, 2011, NAT HAZARDS, V58, P789, DOI 10.1007/s11069-011-9751-6
   Laeni N, 2019, CITIES, V90, P157, DOI 10.1016/j.cities.2019.02.002
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Lourenço IB, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.123096
   Machado ACM, 2020, J CLEAN PROD, V254, DOI 10.1016/j.jclepro.2020.120000
   McGarigal K., 1994, Spatial pattern analysis program for quantifying landscape structure. FRAGSTATS version 2.0
   Miguez M. G., 2018, Urban Agglomeration,, DOI [10.5772/intechopen.71658, DOI 10.5772/INTECHOPEN.71658]
   Miguez MG, 2019, J CLEAN PROD, V231, P1281, DOI 10.1016/j.jclepro.2019.05.187
   Miguez MG, 2017, WATER-SUI, V9, DOI 10.3390/w9060445
   O'Donnell EC, 2017, URBAN WATER J, V14, P964, DOI 10.1080/1573062X.2017.1279190
   Pereira C, 2020, J SUSTAIN DEV ENERGY, V8, P235, DOI 10.13044/j.sdewes.d7.0288
   Ran J, 2016, COMPUT ENVIRON URBAN, V57, P68, DOI 10.1016/j.compenvurbsys.2016.01.008
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Gomes MVR, 2021, BLUE-GREEN SYST, V3, P281, DOI 10.2166/bgs.2021.119
   Rio de Janeiro  (Munic?pio), 2021, DECR 48990 17 JUNH 2
   Rio de Janeiro  (Munic?pio), 2009, LEI COMPL 104 27 NOV
   Robadey Carvalho Vict?riaFerreira., 2019, PERI DICO T CNICO CI, V7, P29, DOI [10.17271/2317860461520192034, DOI 10.17271/2317860461520192034]
   Rojas O, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020195
   Rubio CJ, 2020, WATER SUPPLY, V20, P851, DOI 10.2166/ws.2020.010
   Selerio EF, 2021, URBAN WATER J, V18, P12, DOI 10.1080/1573062X.2020.1846064
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Silva GabriellyCristhianeOliveirae., 2018, 1 LATIN AM C SUSTAIN, P1
   Tingsanchali T, 2012, PROCEDIA ENGINEER, V32, P25, DOI 10.1016/j.proeng.2012.01.1233
   Le TDN, 2020, MITIG ADAPT STRAT GL, V25, P739, DOI 10.1007/s11027-019-09888-z
   Veról AP, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114677
   Veról AP, 2019, J CLEAN PROD, V239, DOI 10.1016/j.jclepro.2019.118058
   Zanobetti D., 1970, Journal of the Waterways, Harbors and Coastal Engineering Division, V96, P181, DOI DOI 10.1061/AWHCAR.0000013
   Zeng H., 2005, COMPUT ENVIRON URBAN, V29, P159, DOI [10.1016/j.compenvurbsys.2003.09.002, DOI 10.1016/J.COMPENVURBSYS.2003.09.002]
NR 52
TC 3
Z9 3
U1 6
U2 38
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-062X
EI 1744-9006
J9 URBAN WATER J
JI Urban Water J.
PD NOV 26
PY 2023
VL 20
IS 10
SI SI
BP 1695
EP 1712
DI 10.1080/1573062X.2022.2134804
EA OCT 2022
PG 18
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA DA2G4
UT WOS:000870169200001
DA 2025-04-22
ER

PT J
AU Zhang, JX
   Zhang, XH
   Li, HZ
   Fan, YZ
   Meng, ZZ
   Liu, D
   Pan, SL
AF Zhang, Jinxin
   Zhang, Xinhai
   Li, Hanze
   Fan, Yazhou
   Meng, Zhenzhu
   Liu, Dan
   Pan, Suli
TI Optimization of Water Quantity Allocation in Multi-Source Urban Water
   Supply Systems Using Graph Theory
SO WATER
LA English
DT Article
DE urban water supply system; water quantity allocation; multi-source
   optimization; graph theory; Lishui City
ID MODEL
AB The optimization of urban multi-source water supply systems is essential for addressing the growing challenges of water allocation, cost management, and system resilience in modern cities. This study introduces a graph-theory-based optimization model to analyze the structural and operational dynamics of urban water supply systems, incorporating constraints such as water quality, pressure, and system connectivity. Using Lishui City as a case study, the model evaluates three water allocation plans to meet the projected 2030 water demand. Advanced algorithms, including Floyd's shortest path algorithm and the GA-COA-SA hybrid optimization algorithm, were employed to address constraints such as pipeline pressure, water quality attenuation, and nonlinear flow dynamics. Results indicate a 1.4% improvement in cost-effectiveness compared to the current allocation strategy, highlighting the model's capability to enhance efficiency. Among the evaluated options, Plan 2 emerges as the most cost-effective solution, achieving a supply capacity of 4.5920 x 105 m3/d with the lowest annual cost of 5.7015 x 107 yuan, highlighting the model's capability to improve both efficiency and resilience. This study prioritizes cost-efficiency tailored to regional challenges, distinguishing itself from prior research that emphasized redundancy and water quality analysis. The findings demonstrate the potential of graph-theoretic approaches combined with advanced optimization techniques to enhance decision-making for sustainable urban water management.
C1 [Zhang, Jinxin; Meng, Zhenzhu; Liu, Dan; Pan, Suli] Zhejiang Univ Water Resources & Elect Power, Sch Hydraul Engn, Hangzhou 310018, Peoples R China.
   [Zhang, Xinhai; Li, Hanze; Fan, Yazhou] Zhejiang Inst Hydraul & Estuary, Zhejiang Inst Marine Planning & Design, Hangzhou 310020, Peoples R China.
C3 Zhejiang University of Water Resources and Electric Power
RP Meng, ZZ (corresponding author), Zhejiang Univ Water Resources & Elect Power, Sch Hydraul Engn, Hangzhou 310018, Peoples R China.
EM zhangjx@zjweu.edu.cn; 13395716890@163.com; jorelllee@163.com;
   yaz_fan@163.com; mengzhzh@zjweu.edu.cn; liud@zjweu.edu.cn;
   pansl@zjweu.edu.cn
RI Fan, Yazhou/GYU-6536-2022
OI MENG, Zhenzhu/0000-0002-3497-0254
FU General Projects of Zhejiang Provincial Education Department; Joint
   Funds of Zhejiang Provincial Natural Science Foundation of China
   [LZJWY22E090003];  [Y202250299]
FX This research was funded by the General Projects of Zhejiang Provincial
   Education Department (No. Y202250299), the Joint Funds of Zhejiang
   Provincial Natural Science Foundation of China (No. LZJWY22E090003).
CR Afyouni I, 2022, INFORM FUSION, V79, P279, DOI 10.1016/j.inffus.2021.10.013
   Alqaisi R, 2020, IEEE ACCESS, V8, P228206, DOI 10.1109/ACCESS.2020.3046494
   Ates S, 2017, FLOW MEAS INSTRUM, V53, P243, DOI 10.1016/j.flowmeasinst.2016.12.002
   Bello O, 2019, WATER-SUI, V11, DOI 10.3390/w11030562
   Chen CJ, 2021, IEEE T VIS COMPUT GR, V27, P3701, DOI 10.1109/TVCG.2021.3084694
   Chen H, 2025, J HYDROL, V648, DOI 10.1016/j.jhydrol.2024.132392
   Cullen AC, 2023, ARTIF INTELL REV, V56, P10921, DOI 10.1007/s10462-023-10449-9
   Deep A., 2021, Nature-Inspired Algorithms Applications, P295, DOI [10.1002/9781119681984.ch11, DOI 10.1002/9781119681984.CH11]
   Durlik I, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13179742
   Dziwinski P, 2020, IEEE T FUZZY SYST, V28, P1140, DOI 10.1109/TFUZZ.2019.2957263
   Fan Y, 2023, WATER RESOUR MANAG, V37, P1341, DOI 10.1007/s11269-023-03437-9
   Geem Z.W., 2017, Tools Appl, V76, P22803, DOI [10.1007/s11042-016-3907-z, DOI 10.1007/S11042-016-3907-Z]
   Gupta R.S., 2016, Hydrology and Hydraulic Systems
   Hailemariam FM, 2014, HYDROL PROCESS, V28, P1742, DOI 10.1002/hyp.9717
   Handmer J, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P231
   Jahandideh-Tehrani M, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-8228-z
   Jamaloei BY, 2021, THEOR APPL FRACT MEC, V113, DOI 10.1016/j.tafmec.2021.102937
   Katoch S, 2021, MULTIMED TOOLS APPL, V80, P8091, DOI 10.1007/s11042-020-10139-6
   KIRKPATRICK S, 1983, SCIENCE, V220, P671, DOI 10.1126/science.220.4598.671
   Lachowicz M, 2011, PROBABILIST ENG MECH, V26, P54, DOI 10.1016/j.probengmech.2010.06.007
   Leclercq L, 2014, TRANSPORT RES B-METH, V62, P1, DOI 10.1016/j.trb.2014.01.007
   Li M, 2017, REG ENVIRON CHANGE, V17, P1153, DOI 10.1007/s10113-016-1100-6
   Lishui Water Resources Bureau, 2024, Lishui City Water Resources Bulletin 2023
   Lishui Water Resources Bureau, 2022, Lishui City Water Resources Planning (20202030)
   Lu LJ, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15041014
   Lützenkirchen J, 2008, PHYS CHEM CHEM PHYS, V10, P4946, DOI 10.1039/b807395c
   MacBroom J.G., 2012, Tidal Marsh Restoration, P13, DOI [DOI 10.5822/978-1-61091-229-7_2, 10.5822/978-1-61091-229-72, DOI 10.5822/978-1-61091-229-72]
   Mandal S., 2023, Water, V15, DOI [10.3390/w15101906, DOI 10.3390/W15101906]
   Marsili V, 2023, WATER RESOUR RES, V59, DOI 10.1029/2023WR035031
   Mishra BK, 2021, WATER-SUI, V13, DOI 10.3390/w13040490
   Monteiro L, 2020, URBAN WATER J, V17, P754, DOI 10.1080/1573062X.2020.1804595
   Moore I. D., 1993, Environmental modeling with GIS., P196
   Vilanova MRN, 2015, RENEW SUST ENERG REV, V48, P540, DOI 10.1016/j.rser.2015.04.024
   Pagano A, 2019, WATER RESOUR MANAG, V33, P2925, DOI 10.1007/s11269-019-02276-x
   Qiao ZX, 2021, WATER SUPPLY, V21, P368, DOI 10.2166/ws.2020.305
   Rani D., 2024, Water Resour. Manag, V11, P1, DOI [10.1007/s11269-024-04025-1, DOI 10.1007/S11269-024-04025-1]
   Shaikh PW, 2022, IEEE T INTELL TRANSP, V23, P48, DOI 10.1109/TITS.2020.3014296
   Shuang Q, 2019, WATER-SUI, V11, DOI 10.3390/w11061189
   SITKOFF D, 1994, J PHYS CHEM-US, V98, P1978, DOI 10.1021/j100058a043
   Sitzenfrei R, 2021, WATER RES, V201, DOI 10.1016/j.watres.2021.117359
   Tong LY, 2024, J BUILD ENG, V96, DOI 10.1016/j.jobe.2024.110547
   van der Heijde B, 2017, ENERG CONVERS MANAGE, V151, P158, DOI 10.1016/j.enconman.2017.08.072
   Wang L, 2006, INT J GEOGR INF SCI, V20, P193, DOI 10.1080/13658810500433453
   Xing JP, 2022, PHYSICA A, V595, DOI 10.1016/j.physa.2022.127079
   Yamazaki D, 2009, HYDROL EARTH SYST SC, V13, P2241, DOI 10.5194/hess-13-2241-2009
   Yang J, 2024, J GEOGR SCI, V34, P203, DOI 10.1007/s11442-024-2202-6
   Yazdani A, 2012, J WATER RES PLAN MAN, V138, P153, DOI 10.1061/(ASCE)WR.1943-5452.0000159
   Yoo DG, 2019, WATER-SUI, V11, DOI 10.3390/w11020333
   Zhang H., 2022, J. Water Resour. Plan. Manag, V148, DOI [10.1061/(ASCE)WR.1943-5452.0001411, DOI 10.1061/(ASCE)WR.1943-5452.0001411]
   Zhang H., 2024, Water Resour. Manag, V38, P2229, DOI [10.1007/s11269-024-03755-6, DOI 10.1007/S11269-024-03755-6]
   Zhang JX, 2023, WATER-SUI, V15, DOI 10.3390/w15071388
   Zhou T., 2019, WATER-SUI, V11, DOI [10.3390/w11071443, DOI 10.3390/w11071443]
NR 52
TC 5
Z9 5
U1 13
U2 13
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JAN
PY 2025
VL 17
IS 1
AR 61
DI 10.3390/w17010061
PG 29
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA R7S1V
UT WOS:001393392300001
OA gold
DA 2025-04-22
ER

PT J
AU Caprotti, F
AF Caprotti, Federico
TI Critical research on eco-cities? A walk through the Sino-Singapore
   Tianjin Eco-City, China
SO CITIES
LA English
DT Article
DE Eco-city; Sustainable city; Green urbanism; Resilience
ID POLITICS
AB This article uses the narrative tool of a walk through Tianjin Eco-City, China, as an entry point in raising and discussing key questions in contemporary eco-city research. Eco-city projects are becoming increasingly prevalent in policy and political-economic discourses in a variety of locations as new urban spaces where blueprints for low carbon economies can be trialled. In light of this, the article highlights the key necessity of, firstly, considering scale when analyzing eco-city 'futures'. Secondly, the article argues for the need to interrogate eco-cities' definitions, as well as evaluation, performance and monitoring frameworks, as this will aid in critical analyses of the marketing, presentation and actually built urban environments in eco-city projects. Thirdly, the question of internal social resilience and the emergence of communities within newly-built eco-cities needs to be assessed: this is of crucial importance in light of the exclusive, gated nature of several flagship eco-city projects under construction at the time of writing. Lastly, the article argues that research on eco-city projects needs to consider not only the high-tech, new urban environments materialized as eco-cities, but also the production and reproduction of large, often transient populations of low-paid workers who build eco-cities and who form what the article calls the 'new urban poor', forming 'workers' cities' on the edges of flagship 'sustainable' urban projects worldwide. (C) 2013 Elsevier Ltd. All rights reserved.
C1 Kings Coll London, Dept Geog, London WC2R 2LS, England.
C3 University of London; King's College London
RP Caprotti, F (corresponding author), Kings Coll London, Dept Geog, London WC2R 2LS, England.
EM federico.caprotti@kcl.ac.uk
RI Caprotti, Federico/AHB-0702-2022
OI Caprotti, Federico/0000-0002-5280-1016
CR Baeumler Axel., 2009, Sino-Singapore Tianjin Eco-City: A Case Study of an Emerging Eco-City in China China
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Bulkeley H., 2011, EUROPEAN FINANCIAL R, P24
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Chang ICC, 2013, J URBAN TECHNOL, V20, P57, DOI 10.1080/10630732.2012.735104
   Cockrell C., 2008, 2 CLASS WORKERS CHIN
   Cugurullo F, 2013, J URBAN TECHNOL, V20, P23, DOI 10.1080/10630732.2012.735105
   Danish Architecture Centre, 2012, DONGT WORLDS 1 LARG
   Davidson CM., 2009, Middle East report, V251, P8
   Davis Mike., 1998, Ecology of Fear: Los Angeles and the Imagination of Disaster
   de Jong M, 2013, J URBAN TECHNOL, V20, P95, DOI 10.1080/10630732.2012.756202
   Dovey Kim., 1999, Framing places: mediating power in built form
   Farreny R, 2011, ENVIRON PLANN A, V43, P1118, DOI 10.1068/a43551
   Gandy M, 2010, ARCHIT DESIGN, P28
   Gibbs D., 2007, The Sustainable Development Paradox: Urban political economy in the United States and Europe, P95
   Golubchikov Oleg., 2012, SUSTAINABLE HOUSING
   Harvey D, 2003, INT J URBAN REGIONAL, V27, P939, DOI 10.1111/j.0309-1317.2003.00492.x
   Harvey D., 2012, Rebel cities: From the right to the city to the urban revolution
   Harvey David., 2000, Spaces of Hope
   Haughton G, 1997, CITIES, V14, P189, DOI 10.1016/S0264-2751(97)00002-4
   Hodson M., 2010, CITY, V14, P299
   Huang T.-Y.M., 2004, Walking between slums and skyscrapers: Illusions of open space in Hong Kong, Tokyo, and Shanghai
   Iverot Sofie Pandis, 2011, Environment Development and Sustainability, V13, P1043, DOI 10.1007/s10668-011-9304-x
   Jackson M S, 2011, LANDSCAPES IDENTITIE, P95
   Johansson M, 2012, URBAN STUD, V49, P3611, DOI 10.1177/0042098012446991
   Joss S, 2010, WIT TRANS ECOL ENVIR, V129, P239, DOI 10.2495/SC100211
   Joss S., 2011, ECO CITIES GLOBAL SU
   Joss S, 2013, J URBAN TECHNOL, V20, P115, DOI 10.1080/10630732.2012.735411
   Joss S, 2011, J ENVIRON POL PLAN, V13, P331, DOI 10.1080/1523908X.2011.611288
   Kargon RH, 2008, LEMELSON CENT STUD I, P1
   Kim C, 2010, CITIES, V27, P13, DOI 10.1016/j.cities.2009.11.013
   Logan J.R., 2008, Urban China in transition, P1
   Masdar, 2012, DEL SUST SUST REP 20
   Mohammad R, 2012, INT J URBAN REGIONAL, V36, P606, DOI 10.1111/j.1468-2427.2011.01099.x
   Ong A, 2011, STUD URBAN SOC CH, P1
   Pickerill J., 2013, CITIES LOW CARBON TR, P178
   Pinder D., 2005, VISIONS CITY UTOPIAN
   Pow C.-P., 2013, URBAN STUDIES
   Pow CP, 2010, Towards a Liveable and Sustainable Urban Environment: Eco-cities in East Asia, P91
   *PWC, 2005, CIT FUT GLOB COMP LO, DOI DOI 10.1177/0002764214550300
   Ren Xuefei., 2011, Building Globalization: Transnational Architecture Production in Urban China
   Roseland M, 1997, CITIES, V14, P197, DOI 10.1016/S0264-2751(97)00003-6
   Shen JF, 2013, HABITAT INT, V39, P1, DOI 10.1016/j.habitatint.2012.10.004
   Shen J, 2012, J URBAN AFF, V34, P255, DOI 10.1111/j.1467-9906.2011.00577.x
   Shwayri ST, 2013, J URBAN TECHNOL, V20, P39, DOI 10.1080/10630732.2012.735409
   Song L., 2008, URBAN CHINA TRANSITI, P46
   Tianjin Planning Bureau, 2011, DEV PLANN BOH RIM ME
   Tidball K.G., 2007, SOCIAL LEARNING SUST, P149, DOI DOI 10.3920/978-90-8686-594-9
   Trieu H., 2009, DESIGNING URBAN MED
   Van Berkel R, 2009, J ENVIRON MANAGE, V90, P1544, DOI 10.1016/j.jenvman.2008.11.010
   While A, 2004, INT J URBAN REGIONAL, V28, P549, DOI 10.1111/j.0309-1317.2004.00535.x
   White M.J., 2008, Urban China in transition, P115
   Wong S -l., 2013, New York Times
   Wong TC, 2011, ECO-CITY PLANNING- POLICIES, PRACTICE AND DESIGN, P131, DOI 10.1007/978-94-007-0383-4_7
   Wu FL, 2012, GEOFORUM, V43, P169, DOI 10.1016/j.geoforum.2011.08.001
   Yeoh BSA, 2005, URBAN STUD, V42, P945, DOI 10.1080/00420980500107201
NR 57
TC 166
Z9 183
U1 13
U2 274
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD FEB
PY 2014
VL 36
SI SI
BP 10
EP 17
DI 10.1016/j.cities.2013.08.005
PG 8
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 285IA
UT WOS:000329386100002
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Birtchnell, T
   Gill, N
   Sultana, R
AF Birtchnell, Thomas
   Gill, Nicholas
   Sultana, Razia
TI Sleeper cells for urban green infrastructure: Harnessing latent
   competence in greening Dhaka's slums
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Gardening; Participation; Social practices; Korail; Bangladesh
ID CLIMATE-CHANGE ADAPTATION; INDIGENOUS KNOWLEDGE; ECOSYSTEM SERVICES;
   COMMUNITY GARDENS; RESILIENCE; CITIES; SPACE; BIODIVERSITY; MANAGEMENT;
   IMPROVEMENT
AB The aim of this article is to examine urban green infrastructure (UGI) as a strategy for adaptation to a nexus of challenges facing slum dwellers in Dhaka, Bangladesh. In Bangladesh and elsewhere in the global South urban slum dwellers are often wells of knowledge on sustainable practices through their prior competence developed in rural areas. Due to poverty and frequent natural hazards many rural people take shelter within informal settlements in cities. One of the prime challenges for urban slum dwellers is to harness and distribute their competence within the context of their changed circumstances and in regards to the materials available to them and meanings around which they shape their lives. Pertinent issues such as land insecurity, space constraints, unemployment, crime, corruption and cultural exclusion to name a handful, have created strains on slum dwellers' lives and livelihoods. One important aspect that can enhance slum dwellers' capacity to cope is the harvesting of latent competence as one facet of their overall social practices. The contribution draws upon semi-structured in-depth interviews with slum dwellers in Korail slum, Dhaka and ethnographic observation. In the empirical data, we explore how latent competence in UGI serves as a source of community resilience and 'trickle-up' development action in precarious urban settings through user participation.
C1 [Birtchnell, Thomas; Gill, Nicholas; Sultana, Razia] Univ Wollongong, Fac Social Sci, Sch Geog & Sustainable Communities, Wollongong, NSW 2500, Australia.
C3 University of Wollongong
RP Birtchnell, T (corresponding author), Univ Wollongong, Fac Social Sci, Sch Geog & Sustainable Communities, Wollongong, NSW 2500, Australia.
EM thomas.birtchnell@uow.edu.au; ngill@uow.edu.au; rs362@uowmail.edu.au
RI Gill, Nicholas/H-6240-2016; Birtchnell, Thomas/K-8474-2015
OI Birtchnell, Thomas/0000-0002-6095-5576
CR Abhijith KV, 2017, ATMOS ENVIRON, V162, P71, DOI 10.1016/j.atmosenv.2017.05.014
   Ackerman K, 2014, ECON SOC REV, V45, P189
   Adegun OB, 2017, J ARCHIT URBAN, V41, P22, DOI 10.3846/20297955.2017.1296791
   Adri N., 2017, CLIM DEV, V9, P1
   Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Alamgir M, 2014, SMALL-SCALE FOR, V13, P445, DOI 10.1007/s11842-014-9264-8
   Anguluri R, 2017, URBAN FOR URBAN GREE, V25, P58, DOI 10.1016/j.ufug.2017.04.007
   [Anonymous], 2015, Final Report of the Horizon 2020 Expert Group on Nature-Based Solutions and Re-Naturing Cities
   [Anonymous], 2011, Our life insurance
   [Anonymous], 2013, COM/2013/0249 Final
   Arnberger A, 2017, URBAN FOR URBAN GREE, V21, P102, DOI 10.1016/j.ufug.2016.11.012
   Arrizon Alicia., 2000, Latinas on Stage, DOI 10.4324/9780203977453
   Audefroy J.F., 2017, International Journal of Sustainable Built Environment, V6, P228, DOI [10.1016/j.ijsbe.2017.03.007, DOI 10.1016/J.IJSBE.2017.03.007]
   Banerjee L, 2007, DEV CHANGE, V38, P641, DOI 10.1111/j.1467-7660.2007.00427.x
   Banks N, 2016, DEV CHANGE, V47, P266, DOI 10.1111/dech.12219
   Barthel S, 2013, ECOL ECON, V86, P224, DOI 10.1016/j.ecolecon.2012.06.018
   Beery TH, 2017, AMBIO, V46, P717, DOI 10.1007/s13280-017-0920-z
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Benedict M. A., 2006, GREEN INFRASTRUCTURE, P2006
   Berland A, 2017, LANDSCAPE URBAN PLAN, V162, P167, DOI 10.1016/j.landurbplan.2017.02.017
   Birtchnell T, 2018, ENVIRON INNOV SOC TR, V27, P118, DOI 10.1016/j.eist.2017.11.002
   Birtchnell T, 2012, J TRANSP GEOGR, V24, P497, DOI 10.1016/j.jtrangeo.2012.01.020
   Borysiak J, 2017, URBAN ECOSYST, V20, P323, DOI 10.1007/s11252-016-0595-4
   Bottalico F, 2016, AGRIC AGRIC SCI PROC, V8, P243, DOI 10.1016/j.aaspro.2016.02.099
   Castree Noel., 2013, DICT HUMAN GEOGRAPHY
   Chan J, 2015, URBAN FOR URBAN GREE, V14, P625, DOI 10.1016/j.ufug.2015.06.005
   Chini CM, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010105
   Collins R, 2017, LAND USE POLICY, V64, P114, DOI 10.1016/j.landusepol.2017.02.025
   Connop S, 2016, ENVIRON SCI POLICY, V62, P99, DOI 10.1016/j.envsci.2016.01.013
   Cosgrave E., 2017, FUTURE FLOATING CITI
   Degert I, 2016, CITIES, V56, P63, DOI 10.1016/j.cities.2016.03.002
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Elmqvist T., 2013, URBANIZATION BIODIVE, P2013
   Fors H, 2015, URBAN FOR URBAN GREE, V14, P722, DOI 10.1016/j.ufug.2015.05.007
   Forsyth T, 2015, DEV CHANGE, V46, P225, DOI 10.1111/dech.12154
   Gulsrud NM, 2013, URBAN FOR URBAN GREE, V12, P330, DOI 10.1016/j.ufug.2013.03.001
   Haase D, 2017, HABITAT INT, V64, P41, DOI 10.1016/j.habitatint.2017.04.005
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hiwasaki L, 2015, CLIMATIC CHANGE, V128, P35, DOI 10.1007/s10584-014-1288-8
   Hossain N, 2010, DEV CHANGE, V41, P907, DOI 10.1111/j.1467-7660.2010.01663.x
   Husain M., 2015, BBC NEWS
   Husain M., 2015, The Dhaka slum being transformed by women
   Ioja CL, 2014, URBAN FOR URBAN GREE, V13, P704, DOI 10.1016/j.ufug.2014.07.002
   Islam MM, 2010, WATER SCI TECHNOL, V61, P1515, DOI 10.2166/wst.2010.049
   Islam MR, 2017, INT SOC WORK, V60, P479, DOI 10.1177/0020872815574133
   Islam SA, 2012, S ASIA, V35, P885, DOI 10.1080/00856401.2012.732555
   Jabeen H, 2010, ENVIRON URBAN, V22, P415, DOI 10.1177/0956247810379937
   Jayasooriya VM, 2017, URBAN FOR URBAN GREE, V21, P34, DOI 10.1016/j.ufug.2016.11.007
   Jerome G, 2017, LANDSCAPE RES, V42, P223, DOI 10.1080/01426397.2016.1229463
   John Milton, 2017, PARADISO PERDUTO
   Jones S, 2014, GEOGR J, V180, P191, DOI 10.1111/geoj.12059
   Karim TF, 2017, INT J RENEW ENERGY R, V7, P1296
   Lennon M, 2014, J URBAN DES, V19, P745, DOI 10.1080/13574809.2014.944113
   Mapfumo P, 2016, CLIM DEV, V8, P72, DOI 10.1080/17565529.2014.998604
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McAfee K, 2012, DEV CHANGE, V43, P105, DOI 10.1111/j.1467-7660.2011.01745.x
   McFarlane C, 2012, URBAN STUD, V49, P2795, DOI 10.1177/0042098012452460
   Mell IC, 2017, LANDSCAPE RES, V42, P135, DOI 10.1080/01426397.2016.1250875
   Miller JT, 2016, URBAN FOR URBAN GREE, V19, P285, DOI 10.1016/j.ufug.2016.03.004
   Molin JF, 2014, URBAN FOR URBAN GREE, V13, P553, DOI 10.1016/j.ufug.2014.03.006
   Morckel V, 2015, URBAN FOR URBAN GREE, V14, P714, DOI 10.1016/j.ufug.2015.07.001
   Naznin A., 2013, INT J CLIM CHANGE IM, V4, P13
   Passidomo C, 2016, URBAN FOR URBAN GREE, V19, P271, DOI 10.1016/j.ufug.2016.01.001
   Pitman SD, 2015, T ROY SOC SOUTH AUST, V139, P97, DOI 10.1080/03721426.2015.1035219
   Ramyar R, 2017, APPL ECOL ENV RES, V15, P1193, DOI 10.15666/aeer/1503_11931209
   Sandifer PA, 2015, ECOSYST SERV, V12, P1, DOI 10.1016/j.ecoser.2014.12.007
   Schubert JE, 2017, ADV WATER RESOUR, V108, P55, DOI 10.1016/j.advwatres.2017.07.009
   Schuch G, 2017, LAND USE POLICY, V63, P539, DOI 10.1016/j.landusepol.2017.01.042
   Seyfang G, 2007, ENVIRON POLIT, V16, P584, DOI 10.1080/09644010701419121
   Shove E., 2012, DYNAMICS SOCIAL PRAC
   Shove E, 2015, EUR J SOC THEORY, V18, P274, DOI 10.1177/1368431015579964
   Sjöman H, 2015, URBAN FOR URBAN GREE, V14, P858, DOI 10.1016/j.ufug.2015.08.004
   Thompson CW, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040440
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Zardo L, 2017, ECOSYST SERV, V26, P225, DOI 10.1016/j.ecoser.2017.06.016
   Zhang DQ, 2017, URBAN WATER J, V14, P113, DOI 10.1080/1573062X.2015.1076488
NR 77
TC 16
Z9 16
U1 2
U2 24
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD APR
PY 2019
VL 40
SI SI
BP 93
EP 104
DI 10.1016/j.ufug.2018.05.014
PG 12
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA HX2ZR
UT WOS:000467261400011
DA 2025-04-22
ER

PT J
AU Leprince, J
   Schledorn, A
   Guericke, D
   Dominkovic, DF
   Madsen, H
   Zeiler, W
AF Leprince, Julien
   Schledorn, Amos
   Guericke, Daniela
   Dominkovic, Dominik Franjo
   Madsen, Henrik
   Zeiler, Wim
TI Can occupant behaviors affect urban energy planning? Distributed
   stochastic optimization for energy communities
SO APPLIED ENERGY
LA English
DT Article
DE Energy communities; District energy management; Optimal energy planning;
   Stochastic optimization; Occupant behavior; Demand side management
ID RENEWABLE ENERGY; SYSTEMS; MANAGEMENT; DESIGN; UNCERTAINTY; CLIMATE;
   MODEL; HUBS
AB To meet carbon emission reduction goals in line with the Paris agreement, planning resilient and sustainable energy systems has never been more important. In the building sector, particularly, strategic urban energy planning engenders large optimization problems across multiple spatiotemporal scales leading to necessary system scope simplifications. This has resulted in disconnected system scales, namely, building occupants (bottom layer) and smart-city energy networks (top layer). This paper intends on bridging these disjointed scales to secure both resilient and more energy-efficient urban planning. To assess the aggregated impact of user behavior stochasticities on optimal urban energy planning, a stochastic energy community sizing and operation problem is designed, encompassing multi-level utilities founded on energy hub concepts for improved energy and carbon emission efficiencies. The problem is solved through an organic spatial problem distribution suitable for field deployment, validated by a proof of concept. We examine uncertainty factors affecting urban energy planning through a local sensitivity analysis, namely, economic, climate, and occupant-behavior uncertainties. Founded on this modeling setup, an energy community of 41 Dutch residential buildings is optimally designed using historical measurements. Results disclose a fast-converging distributed stochastic problem, showcasing boilers as the preferred heating utility. Distributed renewable energy and storage systems are identified as unprofitable for the community. Occupant behavior is particularly exposed as the leading uncertainty factor impacting energy community planning. This demonstrates the relevance and value of our approach in connecting occupants to cities for improved, and more resilient, urban energy planning strategies.
C1 [Leprince, Julien] Tech Univ Eindhoven, 5 Groene Loper, NL-5600 MB Eindhoven, Netherlands.
   [Leprince, Julien; Schledorn, Amos; Dominkovic, Dominik Franjo; Madsen, Henrik] Tech Univ Denmark, Bldg 303B Matematiktorvet, DK-2800 Lyngby, Denmark.
   [Guericke, Daniela] Univ Twente, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands.
C3 Eindhoven University of Technology; Technical University of Denmark;
   University of Twente
RP Leprince, J (corresponding author), Tech Univ Eindhoven, 5 Groene Loper, NL-5600 MB Eindhoven, Netherlands.
EM j.j.leprince@tue.nl; amosc@dtu.dk; d.guericke@utwente.nl; dodo@dtu.dk;
   hmad@dtu.dk; w.zeiler@tue.nl
RI Madsen, Henrik/HNQ-0927-2023; Dominkovic, Dominik/K-7209-2019
OI Dominkovic, Dominik Franjo/0000-0002-0773-1477; Madsen,
   Henrik/0000-0003-0690-3713; Leprince, Julien/0000-0003-3575-0947;
   Guericke, Daniela/0000-0002-0668-9094; Schledorn,
   Amos/0000-0001-9517-2312
FU Dutch Research Council (NWO); Innovation Fund Denmark [0143-0004]
FX This work is funded by the Dutch Research Council (NWO) , in the context
   of the call for Energy System Integration & amp; Big Data (ESI-bida) .
   Support by SEM4Cities funded by Innovation Fund Denmark (Project No.
   0143-0004) is also gratefully acknowledged. Finally, we wish to express
   our appreciation to Eneco, with particular thanks to Dr. Kaustav Basu
   and Rik van der Vlist, as well as Eneco customers for their
   contributions to this research. All authors have read and agreed to the
   published version of the manuscript.
CR Agreement P., 2015, Report of the Conference of the Parties to the United Nations Framework Convention on Climate Change (21st Session, 2015: Paris), V4, DOI DOI 10.1017/S0020782900004253
   [Anonymous], 2013, IEEE PES ISGT EUROPE
   Ashouri A, 2013, ENERGY, V59, P365, DOI 10.1016/j.energy.2013.06.053
   Bacher P, 2011, ENERG BUILDINGS, V43, P1511, DOI 10.1016/j.enbuild.2011.02.005
   Bansal V, 2002, IND ENG CHEM RES, V41, P760, DOI 10.1021/ie010156n
   Belastingdienst, 2021, TABL RAT ENV TAX
   Blanco I, 2018, ENERGIES, V11, DOI 10.3390/en11123310
   Braun JE, 2003, J SOL ENERG-T ASME, V125, P292, DOI 10.1115/1.1592184
   Cajot S, 2017, SUSTAIN CITIES SOC, V30, P223, DOI 10.1016/j.scs.2017.02.003
   Marín-Cano CC, 2020, ENERGIES, V13, DOI 10.3390/en13153777
   Chen D, 2013, ENVIRON DEV, V6, P69, DOI 10.1016/j.envdev.2013.03.007
   Commission E, 2017, PROP DIR EUR PARL CO
   Conejo AJ, 2010, INT SER OPER RES MAN, V153, P1, DOI 10.1007/978-1-4419-7421-1
   D'Agostino D, 2017, ENERGIES, V10, DOI 10.3390/en10010117
   Danish Energy Agency, 2023, Technology data
   Darivianakis G, 2017, IEEE CONTR SYST LETT, V1, P394, DOI 10.1109/LCSYS.2017.2714426
   Dudek AE, 2014, J TIME SER ANAL, V35, P89, DOI 10.1002/jtsa.12053
   Economidou M, 2020, ENERG BUILDINGS, V225, DOI 10.1016/j.enbuild.2020.110322
   Eltigani D, 2015, RENEW SUST ENERG REV, V52, P770, DOI 10.1016/j.rser.2015.07.140
   ENTSO-E, 2023, EL DAY AH PRIC
   Aliabadi FE, 2021, IEEE ACCESS, V9, P36417, DOI 10.1109/ACCESS.2021.3061995
   European Commission, 2020, A European Green Deal, DOI [10.2775/19001, DOI 10.2775/19001]
   Eurostat, 2023, Natural gas price statistics
   Fazeli A, 2011, IEEE PES INNOV SMART
   Fazlollahi S, 2013, APPL THERM ENG, V50, P1504, DOI 10.1016/j.applthermaleng.2011.11.035
   Gabrielli P, 2018, APPL ENERG, V219, P408, DOI 10.1016/j.apenergy.2017.07.142
   Gjorgievski VZ, 2021, RENEW ENERG, V169, P1138, DOI 10.1016/j.renene.2021.01.078
   Guericke D, 2022, Arxiv, DOI [arXiv:2211.00934, 10.48550/ARXIV.2211.00934, DOI 10.48550/ARXIV.2211.00934]
   Gurobi Optimization LLC., 2023, Gurobi Optimizer Reference Manual
   Happle G, 2018, ENERG BUILDINGS, V174, P276, DOI 10.1016/j.enbuild.2018.06.030
   Haurie A, 2012, ENVIRON MODEL ASSESS, V17, P1, DOI 10.1007/s10666-011-9271-5
   Hoes P, 2009, ENERG BUILDINGS, V41, P295, DOI 10.1016/j.enbuild.2008.09.008
   Hu S, 2020, BUILD ENVIRON, V175, DOI 10.1016/j.buildenv.2020.106807
   Huang P, 2019, APPL ENERG, V255, DOI 10.1016/j.apenergy.2019.113864
   IEA, 2020, GLOB EN REL CO2 EM S
   Jing R, 2019, APPL ENERG, V252, DOI 10.1016/j.apenergy.2019.113424
   Kim MH, 2019, ENERGY, V187, DOI 10.1016/j.energy.2019.115916
   KNMI, 2023, HOURL VAL WEATH STAT
   Kucherenko S, 2009, RELIAB ENG SYST SAFE, V94, P1135, DOI 10.1016/j.ress.2008.05.006
   Leprince Julien, 2022, SenSys '22: Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems, P1067, DOI 10.1145/3560905.3567760
   Leprince J, 2022, ENERG BUILDINGS, V266, DOI 10.1016/j.enbuild.2022.112095
   Lopes RA, 2020, APPL ENERG, V277, DOI 10.1016/j.apenergy.2020.115587
   Lundberg SM, 2020, NAT MACH INTELL, V2, P56, DOI 10.1038/s42256-019-0138-9
   Maroufmashat A, 2015, ENERGY, V93, P2546, DOI 10.1016/j.energy.2015.10.079
   Mavromatidis G, 2018, APPL ENERG, V222, P932, DOI 10.1016/j.apenergy.2018.04.019
   Mitchell S., 2011, PuLP: a linear programming toolkit for Python, V65
   Mohammadi M, 2018, RENEW SUST ENERG REV, V89, P33, DOI 10.1016/j.rser.2018.02.035
   Moret S., 2017, STRATEGIC ENERGY PLA
   Moret S, 2017, APPL ENERG, V202, P597, DOI 10.1016/j.apenergy.2017.05.106
   Morio J, 2011, EUR J PHYS, V32, P1577, DOI 10.1088/0143-0807/32/6/011
   Murray P, 2018, APPL ENERG, V231, P1285, DOI 10.1016/j.apenergy.2018.08.106
   Netherlands Authority for Consumers and Markets, 2021, DEC SETT MAX EL DIST
   Orehounig K, 2015, APPL ENERG, V154, P277, DOI 10.1016/j.apenergy.2015.04.114
   Paone A, 2018, ENERGIES, V11, DOI 10.3390/en11040953
   Park HS, 2009, EXPERT SYST APPL, V36, P3336, DOI 10.1016/j.eswa.2008.01.039
   Perry S, 2008, ENERGY, V33, P1489, DOI 10.1016/j.energy.2008.03.008
   Rager JMF, 2015, Urban energy system design from the heat perspective using mathematical programming including thermal storage
   Rahgozar S, 2022, J ENERGY STORAGE, V52, DOI 10.1016/j.est.2022.104841
   Rehman HU, 2019, ENERG CONVERS MANAGE, V196, P175, DOI 10.1016/j.enconman.2019.06.005
   Santos MJ, 2016, ENERGY, V115, P1400, DOI 10.1016/j.energy.2016.03.080
   Sarbu I, 2014, ENERG BUILDINGS, V70, P441, DOI 10.1016/j.enbuild.2013.11.068
   Schütz T, 2017, APPL ENERG, V185, P1, DOI 10.1016/j.apenergy.2016.10.049
   Sheikhi A, 2015, IEEE T SMART GRID, V6, P675, DOI 10.1109/TSG.2014.2377020
   Smith S, INDEPENDENT
   Song XN, 2021, ENVIRON IMPACT ASSES, V90, DOI 10.1016/j.eiar.2021.106624
   Stadler P, 2016, 2016 ANN IEEE SYSTEM, P1
   Stadler P, 2018, FRONT ENERGY RES, V6, DOI 10.3389/fenrg.2018.00022
   Stadler P, 2016, ENERG BUILDINGS, V120, P103, DOI 10.1016/j.enbuild.2016.03.051
   Stephant M, 2021, SIMUL MODEL PRACT TH, V108, DOI 10.1016/j.simpat.2020.102242
   Tan KM, 2021, J ENERGY STORAGE, V39, DOI 10.1016/j.est.2021.102591
   Toubeau JF, 2018, IEEE T POWER SYST, V33, P1399, DOI 10.1109/TPWRS.2017.2718246
   Usher W, 2013, ENERG POLICY, V61, P811, DOI 10.1016/j.enpol.2013.06.110
   Van Cutsem O, 2020, INT J ELEC POWER, V117, DOI 10.1016/j.ijepes.2019.105643
   Yan D, 2015, ENERG BUILDINGS, V107, P264, DOI 10.1016/j.enbuild.2015.08.032
   Zhang SC, 2021, ENERG POLICY, V159, DOI 10.1016/j.enpol.2021.112661
   Zheng QPP, 2015, IEEE T POWER SYST, V30, P1913, DOI 10.1109/TPWRS.2014.2355204
   Zhou Z, 2013, APPL ENERG, V103, P135, DOI 10.1016/j.apenergy.2012.09.019
NR 77
TC 6
Z9 6
U1 6
U2 41
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0306-2619
EI 1872-9118
J9 APPL ENERG
JI Appl. Energy
PD OCT 15
PY 2023
VL 348
AR 121589
DI 10.1016/j.apenergy.2023.121589
EA JUL 2023
PG 14
WC Energy & Fuels; Engineering, Chemical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Engineering
GA P1JY0
UT WOS:001048284700001
OA Green Submitted, Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Markolf, SA
   Chester, MV
   Helmrich, AM
   Shannon, K
AF Markolf, Samuel A.
   Chester, Mikhail V.
   Helmrich, Alysha M.
   Shannon, Kelsey
TI Re-imagining design storm criteria for the challenges of the 21st
   century
SO CITIES
LA English
DT Article
DE Resilience; Infrastructure systems; Uncertainty; Complexity; Climate
   change
ID ROBUST DECISION-MAKING; FLOOD RISK-MANAGEMENT; CLIMATE-CHANGE; RETURN
   PERIOD; INTERDEPENDENT INFRASTRUCTURE; LOCK-IN; RESILIENCE; ADAPTATION;
   FRAMEWORK; FUTURE
AB Design storm criteria (i.e., the specific intensity and/or frequency to which infrastructure systems are designed to withstand) are a critical part of resilience efforts within urban and infrastructure systems. However, factors like climate change and increasing complexity within our urban systems call into question the viability of current approaches to and implementation of design storm criteria moving forward. This paper seeks to identify design practices and strategies that are well-suited for the increasingly complex and rapidly changing contexts in which our cities and infrastructure are operating. We posit that the advancement of a multi-scalar perspective on resilience will be increasingly necessary in response to the growing challenges our cities and infrastructure face. At the scale of single components/sub-systems, return periods (or similar criteria) will likely remain a necessary element of the design process. At the scale of the entire system(s), approaches like safe-to-fail, robust decision making, and enhanced sensing and simulation appear well suited for complementing existing approaches by more explicitly considering failure consequences in the design and management processes. Ultimately, this paper seeks to spur continual research and advancement of these topics in order to facilitate the evolution of the design storm process for an increasingly complex and non-stationary world.
C1 [Markolf, Samuel A.; Chester, Mikhail V.; Helmrich, Alysha M.] Arizona State Univ, Sch Sustainable Engn & Built Environm, 660 S Coll Ave, Tempe, AZ 85281 USA.
   [Shannon, Kelsey] Florida Int Univ, Dept Phys, Miami, FL 33199 USA.
C3 Arizona State University; Arizona State University-Tempe; State
   University System of Florida; Florida International University
RP Markolf, SA (corresponding author), Arizona State Univ, Sch Sustainable Engn & Built Environm, 660 S Coll Ave, Tempe, AZ 85281 USA.
EM smarkolf@asu.edu
OI Helmrich, Alysha/0000-0002-3753-8811; Markolf,
   Samuel/0000-0003-4744-0006
FU US National Science Foundation [SRN-1444755, GCR-1934933]; Central
   Arizona-Phoenix Long-Term Ecological Research [DEB-1832016]
FX This paper is based upon work supported by several US National Science
   Foundation grants including the Urban Resilience to Extremes
   Sustainability Research Network (Award No. SRN-1444755), Resilience
   Convergence (Award No. GCR-1934933) and Central Arizona-Phoenix
   Long-Term Ecological Research (Award No. DEB-1832016) projects. We also
   thank Ernotsignica Gilrein for her work in support of this research and
   article.
CR Adams B.J., 1986, CANADIAN WATER RESOU, V11, P49, DOI DOI 10.4296/CWRJ1103049
   ADAMS BJ, 1986, J ENVIRON ENG-ASCE, V112, P827, DOI 10.1061/(ASCE)0733-9372(1986)112:5(827)
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   American Meteorological Society, 2012, AMS GLOSS
   American Society of Civil Engineers, 1994, 793 ASCE
   [Anonymous], 2007, ADV URBAN FLOOD MANA
   [Anonymous], 2017, NATURE BASED SOLUTIO, DOI DOI 10.1007/978-3-319-56091-5_6
   ASCE, 2017, ASCE 7-16: Minimum design loads and associated criteria for buildings and other structures, DOI [10.1061/9780784414248, DOI 10.1061/9780784414248]
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bartos MD, 2015, NAT CLIM CHANGE, V5, P748, DOI [10.1038/nclimate2648, 10.1038/NCLIMATE2648]
   Bauer J., 2011, Summary of State Stormwater Standards Office of Water Office of Wastewater Management Water Permits Division
   Blessing R, 2017, NAT HAZARDS REV, V18, DOI [10.1061/(ASCE)NH.1527-6996.0000242, 10.1061/(asce)nh.1527-6996.0000242]
   Boburg Shawn, 2017, WASHINGTON POST
   Bogost I., 2017, The Atlantic
   Bonaccorso B, 2003, STOCH ENV RES RISK A, V17, P157, DOI 10.1007/s00477-003-0127-7
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Burillo D, 2016, PROCEDIA ENGINEER, V145, P1346, DOI 10.1016/j.proeng.2016.04.173
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Butler C, 2011, ENVIRON PLANN C, V29, P533, DOI 10.1068/c09181j
   Chester MV, 2020, NAT CLIM CHANGE, V10, P488, DOI 10.1038/s41558-020-0741-0
   Chester MV, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.360
   Clarke J, 2016, TRANSP RES PROC, V14, P1355, DOI 10.1016/j.trpro.2016.05.208
   Cook LM, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000382
   Corvellec H, 2013, J CLEAN PROD, V50, P32, DOI 10.1016/j.jclepro.2012.12.009
   Davoudi S, 2018, CITY COMMUNITY, V17, P3, DOI 10.1111/cico.12281
   Davoudi S, 2014, ENVIRON PLANN C, V32, P360, DOI 10.1068/c12269
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Davoudi Simin., 2016, Governmentality after Neoliberalism, P210
   Della-Marta PM, 2009, INT J CLIMATOL, V29, P437, DOI 10.1002/joc.1794
   Desroches R., 2018, Bridge, V48, P13
   DeVerteuil G., 2016, CITY, V20, P143, DOI [DOI 10.1080/13604813.2015.1125714, https://doi.org/10.1080/13604813.2015.1125714]
   Di Baldassarre G, 2009, HYDROLOG SCI J, V54, P1007, DOI 10.1623/hysj.54.6.1007
   Durairajan R, 2018, PROCEEDINGS OF THE 2018 APPLIED NETWORKING RESEARCH WORKSHOP (ANRW '18), P9, DOI 10.1145/3232755.3232775
   ELLINGWOOD BR, 1994, STRUCT SAF, V13, P159, DOI 10.1016/0167-4730(94)90024-8
   Ellingwood & Bruce, 1980, NBS SPEC PUBL 577
   Emanuel K, 2010, J APPL METEOROL CLIM, V49, P837, DOI 10.1175/2009JAMC2236.1
   Federal Emergency Management Agency, 1983, The 100 Year Base Flood Standard and the Floodplain Management Executive Order: A Review Prepared for the Office of Management and Budget by the Federal Emergency Management Agency, P44332
   FEMA, 2013, MAK CRIT FAC SAF HIG
   Fernández B, 1999, J HYDROL ENG, V4, P308, DOI 10.1061/(ASCE)1084-0699(1999)4:4(308)
   Fessenden F., 2017, NY TIMES
   Fleming G, 2002, PHILOS T ROY SOC A, V360, P1527, DOI 10.1098/rsta.2002.1014
   Flood Control District of Maricopa County, 2013, HYDROLOGY
   Flynn CD, 2016, ECOL SOC, V21, DOI 10.5751/ES-08756-210419
   Gardoni P., 2016, Multi-Hazard Approaches to Civil Infrastructure Engineering, P3, DOI [10.1007/978-3-319-29713-2., DOI 10.1007/978-3-319-29713-2_1]
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grimm NB, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1002/ehs2.1255
   Grimm NancyB., 2015, Routledge Handbooks Online, DOI [10.4324/9781315849256.CH, DOI 10.4324/9781315849256.CH]
   Hall JW, 2012, RISK ANAL, V32, P1657, DOI 10.1111/j.1539-6924.2012.01802.x
   Harvey C, 2017, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2017: INTERNATIONAL PERSPECTIVES, HISTORY AND HERITAGE, EMERGING TECHNOLOGIES, AND STUDENT PAPERS, P1
   Healey P, 1998, ENVIRON PLANN A, V30, P1531, DOI 10.1068/a301531
   Hedger McKenzie M, 2000, METHODOLOGICAL TECHN, P105
   HEINSELMAN M L, 1973, Quaternary Research (Orlando), V3, P329, DOI 10.1016/0033-5894(73)90003-3
   Helmrich AM, 2022, SUSTAIN RESIL INFRAS, V7, P83, DOI 10.1080/23789689.2019.1708179
   Hershfield D.M., 1961, RAINFALL FREQUENCY A, P65
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/NCLIMATE1911, 10.1038/nclimate1911]
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Ingraham C., 2017, WASH POST
   Institute for Business and Home Safety, 2012, HURR STAND
   Irland LC, 2000, SCI TOTAL ENVIRON, V262, P231, DOI 10.1016/S0048-9697(00)00525-8
   Johnson CL, 2008, INT J WATER RESOUR D, V24, P513, DOI 10.1080/07900620801923146
   JOHNSON EA, 1985, CAN J FOREST RES, V15, P214, DOI 10.1139/x85-039
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kaplan S., 1981, Risk Anal, V1, P11, DOI [10.1111/j.1539-6924.1981.tb01350.x, DOI 10.1111/J.1539-6924.1981.TB01350.X]
   KATZ RW, 1992, CLIMATIC CHANGE, V21, P289, DOI 10.1007/BF00139728
   Keim BD, 2007, J CLIMATE, V20, P3498, DOI 10.1175/JCLI4187.1
   Kim Y, 2019, EARTHS FUTURE, V7, P704, DOI 10.1029/2019EF001208
   Kim Y, 2017, CLIMATIC CHANGE, V145, P397, DOI 10.1007/s10584-017-2090-1
   Koerth-Baker Maggie., 2017, FiveThirtyEight
   Korkali M, 2017, SCI REP-UK, V7, DOI 10.1038/srep44499
   Koutsoyiannis D, 2011, J AM WATER RESOUR AS, V47, P481, DOI 10.1111/j.1752-1688.2011.00543.x
   Kuichling E., 1889, T ASCE, V20, P60, DOI 10.1061/TACEAT.0000694
   LAGOMARSINO S, 1992, J WIND ENG IND AEROD, V41, P485, DOI 10.1016/0167-6105(92)90452-G
   Laugé A, 2015, INT J CRIT INFR PROT, V8, P16, DOI 10.1016/j.ijcip.2014.12.004
   Lejano RP, 2019, CITIES, V85, P25, DOI 10.1016/j.cities.2018.12.001
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Lempert RJ, 2010, TECHNOL FORECAST SOC, V77, P960, DOI 10.1016/j.techfore.2010.04.007
   Lempert RJ, 2010, FUTURIST, V44, P47
   Levine B., 2018, ST PAUL MINN MODERNI
   LEWIS GL, 1992, J WATER RES PL-ASCE, V118, P166, DOI 10.1061/(ASCE)0733-9496(1992)118:2(166)
   Lins H., 2012, NOTE STATIONARITY NO
   Lopez-Cantu T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac696
   Luterbacher J, 2004, SCIENCE, V303, P1499, DOI 10.1126/science.1093877
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   McGuire K., 2016, Houston Chronicle
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller P, 2001, SOC RES, V68, P379
   Miller Peter., 2008, J CULT ECON-UK, V1, P51, DOI DOI 10.1080/17530350801913643
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mohammadi N, 2017, 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)
   Munn R. E., 1986, Sustainable Development of the Biosphere, P292
   Naess A, 1998, J ENG MECH-ASCE, V124, P252, DOI 10.1061/(ASCE)0733-9399(1998)124:3(252)
   National Oceanic and Atmospheric Administration (NOAA), 1977, NOAA TECHNICAL MEMOR
   O'Hare P, 2016, ENVIRON PLANN C, V34, P1175, DOI 10.1177/0263774X15602022
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   PACKMAN JC, 1980, WATER RESOUR RES, V16, P994, DOI 10.1029/WR016i006p00994
   Parey S, 2010, ENVIRONMETRICS, V21, P698, DOI 10.1002/env.1060
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Pinter N., 2017, Preliminary Analysis of Hurricane Harvey Flooding in Harris County, Texas
   Read LK, 2015, WATER RESOUR RES, V51, P6381, DOI 10.1002/2015WR017089
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Salas JD, 2014, J HYDROL ENG, V19, P554, DOI 10.1061/(ASCE)HE.1943-5584.0000820
   Scott M, 2013, PLAN THEORY PRACT, V14, P103, DOI 10.1080/14649357.2012.761904
   Seager T. P., 2017, RESILIENCE RISK NATO
   Shortridge J, 2019, RISK ANAL, V39, P959, DOI 10.1111/risa.13234
   Snowden DJ, 2007, HARVARD BUS REV, V85, P68
   Stevens M, 2012, J REGIONAL SCI, V52, P885, DOI 10.1111/jors.12006_6
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Texas Department of Transportation, 2016, HYDR DES MAN
   The American Institutes for Research, 2002, A Chronology of Major Events Affecting the National Flood Insurance Program
   The Rockefeller Foundation, 2020, 100 RES CIT
   Thompson D.B., 2006, The Rational Method
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   U.K. Department for Environment Food and Rural Affairs (DEFRA), 2014, BEST PRACT PROP LEV
   U.S. Department of Agriculture, 1986, TECHN REL 55 TR 55 U
   Underwood BS, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000567
   Underwood BS, 2017, NAT CLIM CHANGE, V7, P704, DOI [10.1038/NCLIMATE3390, 10.1038/nclimate3390]
   van Vliet MTH, 2012, NAT CLIM CHANGE, V2, P676, DOI [10.1038/nclimate1546, 10.1038/NCLIMATE1546]
   Virginia Department of Transportation (DOT), 2018, PAV EV DES
   Wang SL, 2012, PHYSICA A, V391, P3323, DOI 10.1016/j.physa.2011.12.043
   Warner JF, 2013, MAKING SPACE FOR THE RIVER: GOVERNANCE EXPERIENCES WITH MULTIFUNCTIONAL RIVER FLOOD MANAGEMENT IN THE US AND EUROPE, P1
   Waters D., 2003, J ENVIRON PLANN MAN, V46, P755, DOI DOI 10.1080/0964056032000138472
   Watt E, 2013, CAN J CIVIL ENG, V40, P105, DOI 10.1139/cjce-2011-0594
   White I, 2018, J FLOOD RISK MANAG, V11, pS468, DOI 10.1111/jfr3.12239
   White I, 2010, NAT BUILT ENVIRON SE, P1
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   White I, 2020, URBAN STUD, V57, P2885, DOI 10.1177/0042098019886764
   Winkler J, 2011, J INFRASTRUCT SYST, V17, P138, DOI 10.1061/(ASCE)IS.1943-555X.0000068
   Woods DD, 2015, RELIAB ENG SYST SAFE, V141, P5, DOI 10.1016/j.ress.2015.03.018
   ZEVENBERGEN Chris., 2010, Urban flood management
   Zhang YL, 2016, J SYST SCI SYST ENG, V25, P102, DOI 10.1007/s11518-016-5295-3
   Zwiers FW, 2011, J CLIMATE, V24, P881, DOI 10.1175/2010JCLI3908.1
NR 139
TC 23
Z9 30
U1 2
U2 29
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD FEB
PY 2021
VL 109
AR 102981
DI 10.1016/j.cities.2020.102981
EA JAN 2021
PG 11
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA PR9TU
UT WOS:000607573900005
OA hybrid
DA 2025-04-22
ER

PT J
AU Anguelovski, I
   Irazábal-Zurita, C
   Connolly, JJT
AF Anguelovski, Isabelle
   Irazabal-Zurita, Clara
   Connolly, James J. T.
TI Grabbed Urban Landscapes: Socio-spatial Tensions in Green Infrastructure
   Planning in Medellin
SO INTERNATIONAL JOURNAL OF URBAN AND REGIONAL RESEARCH
LA English
DT Article
DE green infrastructure; urban resilience; environmental privilege; green
   gentrification; accumulation by green dispossession; displacement;
   informal settlements; growth control; urban climate adaptation; urban
   nature; Medellin; Colombia
ID CLIMATE ADAPTATION; SUSTAINABILITY FIX; RESILIENCE; JUSTICE; POLICY;
   GENTRIFICATION; VULNERABILITY; CHALLENGES; PROVISION; POLITICS
AB Cities confronted with unsustainable development and climatic changes are increasingly turning to green infrastructure as an approach for growth and climate risk management. In this context, recent scholarly attention has been paid to gentrification, real-estate speculation and resident displacement in the context of sustainability and green planning in the global North. Yet we know little about the environmental-justice implications of green infrastructure planning in the context of self-built settlements of the global South. To what extent do green infrastructure interventions produce or exacerbate urban socio-spatial inequities in self-built settlements? Through the analysis of a greenbelt project, an emblematic case of green infrastructure planning in Medellin, we argue that, as the Municipality of Medellin is containing and beautifying low-income neighborhoods through grabbing part of their territories and turning them into green landscapes of privilege and pleasure, communities are becoming dispossessed of their greatest assets-location, land and social capital. In the process, community land is transformed into a new form of aesthetically controlled and ordered nature for the middle and upper classes and for tourists. By contrast, communities' planning alternatives reveal how green planning can better address growth and climate risks in tandem with equitable community development.
C1 [Anguelovski, Isabelle] ICREA, Passeig Lluis Companys 23, Barcelona 08010, Spain.
   [Irazabal-Zurita, Clara] Univ Missouri Kansas City, Architecture Urban Planning & Design, Kansas City, MO 64110 USA.
   [Connolly, James J. T.] Univ Autonoma Barcelona, ICTA Inst Environm Sci & Technol, Barcelona Lab Urban Environm Justice & Sustainabi, ICTA ICP Bldg Z Campus,Carrer Dr Aiguader 88, Barcelona 08003, Spain.
C3 ICREA; University of Missouri System; University of Missouri Kansas
   City; Autonomous University of Barcelona
RP Anguelovski, I (corresponding author), ICREA, Passeig Lluis Companys 23, Barcelona 08010, Spain.
EM Isabelle.Anguelovski@uab.cat; irazabalzuritac@umkc.edu;
   jamesjohntimothy.connolly@uab.cat
RI Irazabal, Clara/AAD-4968-2021; Connolly, James/AAZ-6161-2021
FU MINECO Ramon y Cajal grant program [RYC-2014-15870]; Juan de la Cierva
   grant program [IJCI-2016-31100]; EU H2020 ERC project GreenLULUs
   [GA678034]; Maria de Maetzu funding scheme [MDM-2015-0552]
FX We wish to express our gratitude to the people of Comuna 8 who
   generously shared their knowledge and their community with us. We also
   recognize the contribution of academic and government-official
   interviewees from multiple institutions, as well as planning studio
   participants from the Universidad Nacional de Colombia, Medellin and
   Bogota; Universidad Pontificia Bolivariana, Medellin; Universitat
   Internacional de Catalunya and Columbia University. This article is
   based on research results presented in Lia Brum's master's thesis on
   green infrastructure planning in Medellin. We dedicate this article to
   Jairo Maya, late leader of Comuna 8 and contributor to our work. The
   research described in this article was supported by the MINECO Ramon y
   Cajal grant program (RYC-2014-15870), the Juan de la Cierva grant
   program (IJCI-2016-31100), the EU H2020 ERC project GreenLULUs
   (GA678034) and the Maria de Maetzu [MDM-2015-0552] funding scheme.
CR Agudelo Patino L.C., 2013, FORMULACION CINTURON
   Agyeman Julian., 2013, Introducing Just Sustainabilities: Policy, Planning, and Practice
   Anderson MG, 2013, J INT DEV, V25, P147, DOI 10.1002/jid.1807
   Angotti T., 2017, Planning Latin American cities: dependencies and 'best practices'
   Anguelovski I., 2018, City, V22, P417, DOI [10.1080/13604813.2018.1473126, DOI 10.1080/13604813.2018.1473126]
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Anguelovski I, 2015, INT J URBAN REGIONAL, V39, P1209, DOI 10.1111/1468-2427.12299
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], SUSTAINABLE DEV PARA
   [Anonymous], 2017, CONCORD SAUNTERER
   [Anonymous], RETOS URBANO AMBIENT
   Arango S., 2013, RADIOGRAFIA CINTURON
   Bautista E, 2015, LOCAL ENVIRON, V20, P664, DOI 10.1080/13549839.2014.949644
   Bickerstaff K, 2009, INT J URBAN REGIONAL, V33, P591, DOI 10.1111/j.1468-2427.2009.00858.x
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brum L., 2013, THESIS
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bulkeley H, 2013, GLOBAL ENVIRON CHANG, V23, P914, DOI 10.1016/j.gloenvcha.2013.05.010
   Bunce S, 2009, LOCAL ENVIRON, V14, P651, DOI 10.1080/13549830903097740
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Castree N, 2008, ENVIRON PLANN A, V40, P131, DOI 10.1068/a3999
   Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Connolly JJT, 2019, CITIES, V91, P64, DOI 10.1016/j.cities.2018.05.011
   Connolly JJT, 2018, CITY COMMUNITY, V17, P8, DOI 10.1111/cico.12282
   Dahmann N, 2010, HEALTH PLACE, V16, P431, DOI 10.1016/j.healthplace.2009.11.005
   desMedellin Alcaldia, 2015, PRESENTACION CINTURO
   Dooling S, 2009, INT J URBAN REGIONAL, V33, P621, DOI 10.1111/j.1468-2427.2009.00860.x
   EDU and Alcaldia de Medellin, 2013, PRES CINT VERD METR
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Franz T, 2017, LAT AM PERSPECT, V44, P52, DOI 10.1177/0094582X16668313
   Frenzel Fabian., 2012, Slum Tourism
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Gleditsch KS, 2007, J PEACE RES, V44, P293, DOI 10.1177/0022343307076637
   Godschalk D.R., 2003, Journal of Environmental Planning and Management, V46, P733, DOI [10.1080/0964056032000138463, DOI 10.1080/0964056032000138463]
   Godschalk DR, 2004, J AM PLANN ASSOC, V70, P5, DOI 10.1080/01944360408976334
   Harvey D, 2007, ANN AM ACAD POLIT SS, V610, P22, DOI 10.1177/0002716206296780
   Hastings A, 2007, ENVIRON PLANN C, V25, P896, DOI 10.1068/c0657
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Hoberman G., 2012, DRR FACULTY PUBLICAT
   Hodson Mike., 2010, CITY, V14, P298, DOI DOI 10.1080/13604813.2010.482277
   Hof A, 2015, J SUSTAIN TOUR, V23, P770, DOI 10.1080/09669582.2014.991397
   IPCC, 2014, Environmental Policy Collection
   Irazabal C., 2013, GROWTH MAN MED COL
   Irazabal C., 2016, PRIVATE COMMUNITIES
   Irazábal C, 2015, CURR OPIN ENV SUST, V17, P22, DOI 10.1016/j.cosust.2015.07.020
   Irazábal C, 2009, J URBAN AFF, V31, P1, DOI 10.1111/j.1467-9906.2008.00426.x
   Janoschka M, 2014, INT J URBAN REGIONAL, V38, P1234, DOI 10.1111/1468-2427.12030
   Kabisch N, 2014, LANDSCAPE URBAN PLAN, V122, P129, DOI 10.1016/j.landurbplan.2013.11.016
   Keenan J., 2018, ENV RES LETT, V13
   Keil R., 2007, SUSTAINABLE DEV PARA
   Keil R, 2005, URBAN GEOGR, V26, P640, DOI 10.2747/0272-3638.26.7.640
   Landry SM, 2009, ENVIRON PLANN A, V41, P2651, DOI 10.1068/a41236
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Letelier F., 2017, J PLAN EDUC RES, V38, P67
   Long JH, 2016, URBAN STUD, V53, P149, DOI 10.1177/0042098014560501
   Macdonald S, 2012, PROF GEOGR, V64, P125, DOI 10.1080/00330124.2011.586874
   Marcuse P, 2009, QUESTION CITIES, P1
   Marcuse P., 1985, Wash. UJ Urb. & Contemp. L., V28, P195
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McDougall A, 2009, STUD CONFL TERROR, V32, P322, DOI 10.1080/10576100902743815
   Municipality of Medellin, 2013, PRES CINT VERD METR
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Park LisaSun-Hee., 2011, SLUMS ASPEN IMMIGRAN
   Parks BC, 2006, SOC NATUR RESOUR, V19, P337, DOI 10.1080/08941920500519255
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2014, CLIMATIC CHANGE, V133
   Pelling M, 2011, ECOL SOC, V16
   Pelling M, 2010, PROG HUM GEOG, V34, P21, DOI 10.1177/0309132509105004
   Quastel N, 2009, URBAN GEOGR, V30, P694, DOI 10.2747/0272-3638.30.7.694
   Robbins Paul., 2011, Political ecology: A critical introduction, V16
   Safransky S, 2014, GEOFORUM, V56, P237, DOI 10.1016/j.geoforum.2014.06.003
   Shatkin G, 2004, URBAN STUD, V41, P2469, DOI 10.1080/00420980412331297636
   Sotomayor L, 2017, LAT AM PERSPECT, V44, P71, DOI 10.1177/0094582X16682758
   Spivak G. C., 1988, PHILOSOPHIN, V14, P42
   Temenos C, 2012, ENVIRON PLANN A, V44, P1389, DOI 10.1068/a44314
   Tovar-Restrepo M, 2014, LAT AM PERSPECT, V41, P39, DOI 10.1177/0094582X13492134
   Tretter EM, 2013, INT J URBAN REGIONAL, V37, P297, DOI 10.1111/j.1468-2427.2012.01166.x
   UN Habitat, 2016, WORLD CIT REP
   Vainer C., 2015, MEGA EVENTS GLOBALIZ
   Waldmann P, 2007, TERROR POLIT VIOLENC, V19, P593, DOI 10.1080/09546550701626836
   Walker S, 2016, URBAN GEOGR, V37, P163, DOI 10.1080/02723638.2015.1056606
   While A, 2004, INT J URBAN REGIONAL, V28, P549, DOI 10.1111/j.0309-1317.2004.00535.x
   Wilkinson C, 2012, PLAN THEORY PRACT, V13, P319
NR 85
TC 126
Z9 136
U1 12
U2 119
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0309-1317
EI 1468-2427
J9 INT J URBAN REGIONAL
JI Int. J. Urban Reg. Res.
PD JAN
PY 2019
VL 43
IS 1
BP 133
EP 156
DI 10.1111/1468-2427.12725
PG 24
WC Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration; Urban Studies
GA HI2CX
UT WOS:000456253500009
OA Green Accepted
DA 2025-04-22
ER

PT J
AU O'Grady, N
   Shaw, D
AF O'Grady, Nathaniel
   Shaw, Duncan
TI Resilience, responsibility and state abandon: The changing role of the
   government in emergencies
SO POLITICAL GEOGRAPHY
LA English
DT Article
ID COMMUNITY RESILIENCE; URBAN RESILIENCE; SECURITY; POLITICS; DISASTER;
   LIFE; NEOLIBERALISM; PREPAREDNESS; UNCERTAINTY; INSECURITY
AB Scholars have explored how governmental agendas pursued in the name of resilience redistribute the responsibility for attending to emergencies amongst gov-ernments and communities. In this paper, we draw on two years of research with community groups responding to Covid-19 in the United Kingdom to deepen these debates concerning the effects of so-called 'responsibilization' amid appeals for resilience. Against popular claims that equate resilience to state abandonment in an era of neo-liberal reform, we argue that resilience has also prompted new forms of coordination between government and non-government community actors that in themselves are fraught with political complications warranting critical scrutiny. After years of public spending cuts, the government increasingly plays an enabler role in emergencies; orchestrating other actors rather than directly intervening themselves. This role is important to consider because it reshapes people's affective encounter with the figure of 'the government' when emergencies happen by sequestering the government's activities and generating feelings of government inaction. With the government's obfuscation, community actors valorise their own interpretation of 'resilience' as a way to deal with emergencies without government support, despite the government's ongoing presence. This belief in successful non-state resilience could have grave consequences if it is used to justify future government-led attempts to accelerate a long-established policy of reducing expenditure on public services, thus engendering in the future the very state abandon through which some scholars diagnose the present. Overall, the paper challenges popular conceptualisations of the re-distribution of responsibility under resilience agendas, unpacks how resilience agendas reconfigure relationships between people and governments in times of crisis and elaborates on the ramifications for public emergency governance if belief in resilience as non-state responsibility proliferates in the future.
C1 [O'Grady, Nathaniel] Univ Manchester, Humanitarian Conflict Response Inst, Manchester M13 9PL, England.
   [Shaw, Duncan] Univ Manchester, Alliance Manchester Business Sch, Manchester M13 9PL, England.
C3 University of Manchester; University of Manchester; Alliance Manchester
   Business School
RP O'Grady, N (corresponding author), Univ Manchester, Humanitarian Conflict Response Inst, Manchester M13 9PL, England.
EM nathaniel.ogrady@manchester.ac.uk; duncan.shaw-2@manchester.ac.uk
RI Shaw, Duncan/M-3325-2014
OI Shaw, Duncan/0000-0002-5693-8052
FU United Kingdom's Economic and Social Research Council (ESRC)
   [ES/V015346/1]
FX The evidence presented in this paper derives from a research project
   funded by the United Kingdom's Economic and Social Research Council
   (ESRC) Research and Innovation's rapid response to COVID-19 [Project
   number: ES/V015346/1] .
CR Adey P, 2014, ENVIRON PLANN D, V32, P834, DOI 10.1068/d21312
   Allen J, 2010, ANTIPODE, V42, P1071, DOI 10.1111/j.1467-8330.2010.00794.x
   Amoore Louise., 2013, The Politics of Possibility: Risk and Security Beyond Probability
   Anderson B, 2021, ENVIRON PLAN C-POLIT, V39, P1356, DOI 10.1177/2399654420954214
   Anderson B, 2017, SOC CULT GEOGR, V18, P158, DOI 10.1080/14649365.2016.1163727
   Anderson B, 2015, POLITICS-OXFORD, V35, P60, DOI 10.1111/1467-9256.12079
   Anderson B, 2011, ENVIRON PLANN D, V29, P1092, DOI 10.1068/d14110
   Anderson B, 2010, PROG HUM GEOG, V34, P777, DOI 10.1177/0309132510362600
   [Anonymous], 2011, Strategic national framework on community resilience
   Barrios Roberto., 2017, Nebraska, P1
   Bohland J., 2019, RESILIENCE MACHINE
   Bond D, 2013, CULT ANTHROPOL, V28, P694, DOI 10.1111/cuan.12033
   Bonilla Y, 2020, SMALL AXE, V24, P147, DOI 10.1215/07990537-8604562
   Bonilla Y, 2020, POLIT GEOGR, V78, DOI 10.1016/j.polgeo.2020.102181
   Bonilla Yarimar., 2019, Aftershocks of Disaster: Puerto Rico before and after the Storm
   Boyer D, 2022, CURR ANTHROPOL, V63, P615, DOI 10.1086/722270
   Calhoun C, 2006, PUBLIC CULTURE, V18, P257, DOI 10.1215/08992363-2006-001
   Chandler D., 2014, RESILIENCE GOVERNANC
   Chandler D., 2016, The neoliberal subject: resilience, adaptation and vulnerability
   Chandler D, 2019, RESILIENCE-ABINGDON, V7, P304, DOI 10.1080/21693293.2019.1605660
   Chandler D, 2014, RESILIENCE, V2, P47, DOI 10.1080/21693293.2013.878544
   Choi VY, 2015, CULT ANTHROPOL, V30, P286, DOI 10.14506/ca30.2.09
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Coaffee J, 2008, SPACE POLITY, V12, P101, DOI 10.1080/13562570801969556
   Collier SJ, 2008, ENVIRON PLANN D, V26, P7, DOI 10.1068/d446t
   Collier SJ, 2015, THEOR CULT SOC, V32, P19, DOI 10.1177/0263276413510050
   Collier StephenJ., 2021, The government of emergency: Vital systems, expertise, and the politics of security
   Côte M, 2019, DIALOGUES HUM GEOGR, V9, P189, DOI 10.1177/2043820619827718
   Cox S, 2022, GEOGR J, V188, P294, DOI 10.1111/geoj.12437
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Cretney R, 2014, RESILIENCE, V2, P18, DOI 10.1080/21693293.2013.872449
   DeVerteuil G, 2021, GEOFORUM, V125, P78, DOI 10.1016/j.geoforum.2021.07.004
   Eakin H, 2022, WORLD DEV, V159, DOI 10.1016/j.worlddev.2022.106056
   Evans B, 2013, RESILIENCE, V1, P83, DOI 10.1080/21693293.2013.770703
   Foucault M, 2007, MICHEL FOUCAULT: SECURITY, TERRITORY, POPULATION, 1977-78, P1, DOI 10.1057/9780230245075
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gray GC, 2009, BRIT J CRIMINOL, V49, P326, DOI 10.1093/bjc/azp004
   Grove K, 2020, ANN AM ASSOC GEOGR, V110, P1613, DOI 10.1080/24694452.2020.1715778
   Grove K, 2015, POLITICS-OXFORD, V35, P78, DOI 10.1111/1467-9256.12078
   Grove K, 2014, ENVIRON PLANN D, V32, P240, DOI 10.1068/d4813
   Grove Kevin., 2018, Resilience
   Grove KJ, 2017, ENVIRON PLANN D, V35, P184, DOI 10.1177/0263775816686583
   Grove KJ, 2014, ANTIPODE, V46, P611, DOI 10.1111/anti.12066
   Hill L. J., 2017, ASSEMBLING NEOLIBERA
   Hornborg A, 2013, RESILIENCE-ABINGDON, V1, P116, DOI 10.1080/21693293.2013.797661
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kynaston D., 2008, AUSTERITY BRITAIN, V1, P1945
   Lakoff A, 2008, CULT ANTHROPOL, V23, P399, DOI 10.1111/j.1548-1360.2008.00013.x
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Lentzos F, 2009, ECON SOC, V38, P230, DOI 10.1080/03085140902786611
   Löwenheim O, 2007, INT POLIT SOCIOL, V1, P203, DOI 10.1111/j.1749-5687.2007.00014.x
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Massumi B., 2015, ONTOPOWER WAR POWERS, DOI DOI 10.1515/9780822375197
   McDonnell S, 2020, ANTHROPOL FORUM, V30, P55, DOI 10.1080/00664677.2019.1647828
   Mckeown A, 2018, REV INT STUD, V44, P193, DOI 10.1017/S0260210517000493
   MITCHELL T, 1991, AM POLIT SCI REV, V85, P77, DOI 10.2307/1962879
   Moulton AA., 2019, J EXTREME EVENTS, V6, P1940003, DOI DOI 10.1142/S2345737619400037
   Noboa P. N., 2019, AFTERSHOCKS DISASTER
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   O'Grady N, 2022, GEOFORUM, V132, P32, DOI 10.1016/j.geoforum.2022.03.021
   O'Malley P, 2010, ECON SOC, V39, P488, DOI 10.1080/03085147.2010.510681
   OGrady N., 2018, GOVERNING FUTURE EME
   Paudel D, 2020, GEOPOLITICS, V25, P838, DOI 10.1080/14650045.2018.1533818
   Popke J., 2019, J. Extreme Events, V6
   Power ER, 2022, PROG HUM GEOG, V46, P1165, DOI 10.1177/03091325221109837
   Pugh J, 2017, ANTIPODE, V49, P867, DOI 10.1111/anti.12305
   Radestad C, 2020, CRIT POLICY STUD, V14, P86, DOI 10.1080/19460171.2018.1530604
   Rex B, 2022, CULT TRENDS, V31, P23, DOI 10.1080/09548963.2021.1915096
   Rhiney Kevon., 2018, Journal of Extreme Events, V05, P1840002, DOI [DOI 10.1142/S2345737618500173, https://doi.org/10.1142/S234573761840002X]
   Roepstorff K, 2020, THIRD WORLD Q, V41, P284, DOI 10.1080/01436597.2019.1644160
   Rose N., 2013, Governing the Present: Administering Economic, Social and Personal Life
   Roth F., 2014, BEHEMOTH A J CIVILIS, V7, P103
   Schuller Mark., 2016, Humanitarian Aftershocks in Haiti
   Shamir R, 2008, ECON SOC, V37, P1, DOI 10.1080/03085140701760833
   Sheller Mimi., 2020, Island Futures: Caribbean Survival in the Anthropocene
   Simon GL., 2017, Flame and Fortune in the American West: Urban development, environmental change, and the great Oakland hills fire
   Simon S, 2016, DIALOGUES HUM GEOGR, V6, P3, DOI 10.1177/2043820615624047
   Tierney K, 2015, AM BEHAV SCI, V59, P1327, DOI 10.1177/0002764215591187
   Wakefield S., 2020, Anthropocene back loop: Experimentation in unsafe operating space
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   Wilson D, 2018, URBAN GEOGR, V39, P1265, DOI 10.1080/02723638.2018.1452873
   Wilson GA, 2018, GEOGR J, V184, P89, DOI 10.1111/geoj.12232
   Zebrowski C, 2017, RESILIENCE-ABINGDON, V5, P44, DOI 10.1080/21693293.2016.1228158
   Zebrowski C, 2013, RESILIENCE, V1, P159, DOI 10.1080/21693293.2013.804672
NR 85
TC 10
Z9 10
U1 6
U2 23
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0962-6298
EI 1873-5096
J9 POLIT GEOGR
JI Polit. Geogr.
PD JAN
PY 2023
VL 100
AR 102796
DI 10.1016/j.polgeo.2022.102796
EA NOV 2022
PG 9
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA 7I5HG
UT WOS:000903918200002
OA hybrid
DA 2025-04-22
ER

PT J
AU Yao, KS
   Chen, L
   Chen, SR
AF Yao, Kaisen
   Chen, Larry
   Chen, Suren
TI Time-evolving traffic resilience performance forecasting during
   hazardous weather toward proactive intervention
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Resilience; Forecast; Percolation; Sir model; Deep learning;
   Intervention; Disruption; hazard
ID PREDICTION; NETWORK; LSTM
AB Transportation systems experience significant disruptions and loss during hazardous weather events, exhibiting great needs of timely intervention to effectively improve the resilience of the affected traffic systems. An informed and science-based proactive intervention strategy depends on accurate forecasting of the resilience performance of traffic systems with essential lead time during hazards. A new resilience performance forecasting methodology at both global and local scales is proposed for traffic networks under natural hazards by addressing unique challenges such as scarcity and time-evolving nature of hazard-specific data. The proposed methodology consists of two modules: the local traffic resilience performance short-term forecasting module based on the modified diffusion convolutional recurrent neural network (DCRNN) and transfer learning techniques, and the global traffic resilience performance forecasting module integrating percolation-based robustness assessment and SIR-based congestion propagation modeling. A case study of an urban traffic network during a major snowstorm hazard is conducted as a demonstration, followed by the feasibility investigation to guide proactive intervention during hazards. It is found the proposed methodology can forecast the time-evolving traffic resilience performance with good accuracy at both global and local scales. With sufficient lead time for the forecast, it bears promising potential to assist the stakeholders to make informed and timely decision about possible proactive intervention by providing key information to help identify the optimal moments and individual strategic links for possible intervention.
C1 [Yao, Kaisen] Colorado State Univ, Dept Civil & Environm Eng, Ft Collins, CO 80523 USA.
   [Chen, Larry] Northwestern Univ, Dept Mat Sci & Engn, Evanston, IL 60208 USA.
   [Chen, Suren] Southeast Univ, Sch Transportat, Nanjing, Peoples R China.
   [Chen, Suren] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA.
C3 Colorado State University System; Colorado State University Fort
   Collins; Northwestern University; Southeast University - China; Colorado
   State University System; Colorado State University Fort Collins
RP Chen, SR (corresponding author), Southeast Univ, Sch Transportat, Nanjing, Peoples R China.
EM srchen@seu.edu.cn
RI Chen, Su-Ren/S-1025-2017
FU Mountain-Plains Consortium; U.S. Department of Transportation
FX The work presented in this paper was conducted with support from the
   Mountain-Plains Consortium, a University Transportation Center funded by
   the U.S. Department of Transportation. The contents of this paper
   reflect the views of the authors, who are responsible for the facts and
   accuracy of the information presented. The authors would also like to
   acknowledge the traffic operation division of City of Fort Collins for
   providing the traffic data used in this study.
CR Abdulla B, 2021, J COMPUT CIVIL ENG, V35, DOI 10.1061/(ASCE)CP.1943-5487.0000938
   Andronov Roman, 2018, MATEC Web of Conferences, V143, DOI 10.1051/matecconf/201814304008
   Bai L, 2020, ADV NEUR IN, V33
   Cheng XY, 2018, IEEE IJCNN
   CSU (Colorado State University), 2023, Access colorado data
   Cui Z, 2019, P TRANSP RES BOARD 9, P19
   Dai XY, 2017, Arxiv, DOI arXiv:1707.03213
   Dong SJ, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000533
   Fan C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70524-x
   Florez J, 2014, PROCD SOC BEHV, V160, P130, DOI 10.1016/j.sbspro.2014.12.124
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gao JX, 2016, NATURE, V530, P307, DOI 10.1038/nature16948
   Gao JX, 2011, PHYS REV LETT, V107, DOI 10.1103/PhysRevLett.107.195701
   Hou GY, 2020, ACCIDENT ANAL PREV, V145, DOI 10.1016/j.aap.2020.105698
   Hou GY, 2019, J AEROSPACE ENG, V32, DOI 10.1061/(ASCE)AS.1943-5525.0001050
   Iyer S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059613
   Jia YH, 2017, IET INTELL TRANSP SY, V11, P531, DOI 10.1049/iet-its.2016.0257
   Kermack WO, 1927, P R SOC LOND A-CONTA, V115, P700, DOI 10.1098/rspa.1927.0118
   Koks EE, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10442-3
   Kumar N, 2021, TRANSPORT RES C-EMER, V133, DOI 10.1016/j.trc.2021.103432
   Li DQ, 2015, P NATL ACAD SCI USA, V112, P669, DOI 10.1073/pnas.1419185112
   Li M, 2021, PHYS REP, V907, P1, DOI 10.1016/j.physrep.2020.12.003
   Li Y., 2018, PROC INT C LEARN REP, P1
   Mallick T, 2021, INT C PATT RECOG, P10367, DOI 10.1109/ICPR48806.2021.9413270
   Marinov T. T., 2020, Chaos, Solitons & Fractals: X, V5, DOI [10.1016/j.csfx.2020.100041, DOI 10.1016/J.CSFX.2020.100041]
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   Newman M. E. J., 2010, NETWORKS
   Newman MEJ, 1998, P ROY SOC B-BIOL SCI, V265, P1333, DOI 10.1098/rspb.1998.0438
   Pan ZY, 2019, KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P1720, DOI 10.1145/3292500.3330884
   Paprotny D, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04253-1
   Ranjan N, 2020, IEEE ACCESS, V8, P81606, DOI 10.1109/ACCESS.2020.2991462
   Reggiani A, 2013, TRANSPORT POLICY, V28, P63, DOI 10.1016/j.tranpol.2012.09.007
   Saberi M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15353-2
   Shafiei S, 2018, SIMUL MODEL PRACT TH, V86, P169, DOI 10.1016/j.simpat.2018.04.006
   Sheikh MS, 2021, PHYSICA A, V580, DOI 10.1016/j.physa.2021.126162
   Shin DH, 2020, IEEE ACCESS, V8, P150784, DOI 10.1109/ACCESS.2020.3016469
   Soua R, 2016, IEEE IJCNN, P3195, DOI 10.1109/IJCNN.2016.7727607
   Sun SM, 2019, INT J DISTRIB SENS N, V15, DOI 10.1177/1550147719847440
   Taylor MAP, 2008, GROWTH CHANGE, V39, P593, DOI 10.1111/j.1468-2257.2008.00448.x
   Tedjopurnomo DA, 2022, IEEE T KNOWL DATA EN, V34, P1544, DOI 10.1109/TKDE.2020.3001195
   Wu YY, 2021, RELIAB ENG SYST SAFE, V211, DOI 10.1016/j.ress.2021.107612
   Xie ZP, 2020, IEEE ACCESS, V8, P63349, DOI 10.1109/ACCESS.2019.2915364
   Xu DW, 2019, CHAOS, V29, DOI 10.1063/1.5117180
   Yao KS, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-7364
   Yao KS, 2022, J TRANSP ENG A-SYST, V148, DOI 10.1061/JTEPBS.0000671
   Yu B, 2018, PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, P3634
   Yu R, 2017, Proceedings of the 2017 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, P777, DOI DOI 10.1137/1.9781611974973.87
   Zhang D, 2017, 2017 IEEE 15TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 15TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 3RD INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS(DASC/PICOM/DATACOM/CYBERSCI, P1216, DOI 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.194
   Zou QL, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000524
   Zou QL, 2019, RELIAB ENG SYST SAFE, V191, DOI 10.1016/j.ress.2019.106557
NR 50
TC 2
Z9 2
U1 26
U2 26
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0951-8320
EI 1879-0836
J9 RELIAB ENG SYST SAFE
JI Reliab. Eng. Syst. Saf.
PD JAN
PY 2025
VL 253
AR 110521
DI 10.1016/j.ress.2024.110521
EA OCT 2024
PG 15
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA I7M4M
UT WOS:001332061400001
DA 2025-04-22
ER

PT J
AU Wang, K
AF Wang, Kyungsoon
TI Housing market resilience: Neighbourhood and metropolitan factors
   explaining resilience before and after the US housing crisis
SO URBAN STUDIES
LA English
DT Article
DE housing; neighbourhood; planning; policy; recovery; resilience
ID FORTUNES; HOMES
AB The advent of the millennium witnessed unparalleled volatility in the housing market, a cycle of bust and recovery to which some US neighbourhoods were resilient and others not. Most planning scholars interested in resilience have paid little attention to examining the resilience of the housing market to economic shocks at the neighbourhood level across the USA. Using cluster analysis and hierarchical linear models, together with changes in housing prices, this study examines patterns and drivers explaining neighbourhood resilience within the context of metropolitan housing markets over periods of housing boom, bust, and recovery. Findings suggest that neighbourhood and metropolitan factors associated with housing market resilience varied across space and time: housing and mortgage market conditions affected neighbourhood recovery in the relatively short term while most urban form variables affected recovery over the long term. In addition, the associations and recovery patterns varied among the types of metropolitan areas, showing that neighbourhoods in strong markets had more drivers of resilience and reverted to their original status more quickly than those in weak markets, highlighting the growth of regional housing disparity during the housing recovery. Across the nation, however, home values in neighbourhoods that experienced more extreme periods of boom and bust underwent short-lived depreciation during the recession but long-term appreciation. This study should help policy makers establish sound policies that stabilise neighbourhoods and prevent future downturns.
C1 [Wang, Kyungsoon] Georgia Inst Technol, Atlanta, GA 30332 USA.
C3 University System of Georgia; Georgia Institute of Technology
RP Wang, K (corresponding author), Georgia Inst Technol, Sch City & Reg Planning, 245-4th St, Atlanta, GA 30332 USA.
EM kwang42@gatech.edu
RI Wang, Kyungsoon/AAG-7113-2019
OI Wang, Kyungsoon/0000-0002-3954-0798
CR Amromin G., 2009, FEDERAL RESERVE BANK, VQ2, P18
   [Anonymous], 2012, Endangered Sea Turtles: Better Coordination, Data Collection, and Planning Could Improve Federal Protection and Recovery Efforts GAO-12-242
   [Anonymous], WORKING PAPER
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   Carson RT, 2013, CONTEMP ECON POLICY, V31, P22, DOI 10.1111/j.1465-7287.2011.00290.x
   Chapple K, 2010, CAMB J REG ECON SOC, V3, P85, DOI 10.1093/cjres/rsp031
   Cutts A. C., 2008, UCC0815 HARV U JOINT
   Dong HW, 2016, HOUS POLICY DEBATE, V26, P150, DOI 10.1080/10511482.2015.1038575
   Dong HW, 2015, J PLAN EDUC RES, V35, P5, DOI 10.1177/0739456X14560769
   Ellen IG, 2008, URBAN STUD, V45, P845, DOI 10.1177/0042098007088471
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Galster GC, 2003, URBAN AFF REV, V39, P205, DOI 10.1177/1078087403254493
   Gyourko J, 2008, URBAN STUD, V45, P693, DOI 10.1177/0042098007087341
   Harding JP, 2009, J URBAN ECON, V66, P164, DOI 10.1016/j.jue.2009.07.003
   Hartell A. M., 2016, HOUS POLICY DEBATE, V3, P356
   Helms AC, 2003, J URBAN ECON, V54, P474, DOI 10.1016/S0094-1190(03)00081-0
   Hepp S, 2013, HOUS POLICY DEBATE, V23, P497, DOI 10.1080/10511482.2013.771787
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Huang HF, 2012, J URBAN ECON, V71, P93, DOI 10.1016/j.jue.2011.08.001
   Immergluck D., 2009, FORECLOSED HIGH RISK
   Immergluck D, 2013, HOUS POLICY DEBATE, V23, P199, DOI 10.1080/10511482.2012.749933
   Immergluck D, 2010, HOUS POLICY DEBATE, V20, P619, DOI 10.1080/10511482.2010.505872
   Immergluck D, 2010, URBAN AFF REV, V46, P3, DOI 10.1177/1078087410375404
   Kreft I., 2004, INTRO MULTILEVEL MOD
   Mallach Alan., 2006, BRINGING BUILDINGS B
   McGranahan D. A., 1999, Agricultural Economic Report No. AER781
   Pendall R., 2008, RESILIENCE REGIONS B
   Rosenthal SS, 2008, J URBAN ECON, V63, P816, DOI 10.1016/j.jue.2007.06.003
   Schuetz J, 2008, J HOUS ECON, V17, P306, DOI 10.1016/j.jhe.2008.09.004
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   US Government Publishing Office, 2017, EL COD FED REG TITL
   WANG K, 2016, THESIS
   Wang K, 2019, HOUS POLICY DEBATE, V29, P296, DOI 10.1080/10511482.2018.1515098
   Wang K, 2015, J URBAN AFF, V37, P166, DOI 10.1111/juaf.12100
   Zhang Y, 2010, J AM PLANN ASSOC, V76, P5, DOI 10.1080/01944360903294556
NR 37
TC 14
Z9 16
U1 4
U2 35
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0042-0980
EI 1360-063X
J9 URBAN STUD
JI Urban Stud.
PD OCT
PY 2019
VL 56
IS 13
BP 2688
EP 2708
DI 10.1177/0042098018800435
PG 21
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA IX7RG
UT WOS:000485882000006
DA 2025-04-22
ER

PT J
AU Usamah, M
   Handmer, J
   Mitchell, D
   Ahmed, I
AF Usamah, Muhibuddin
   Handmer, John
   Mitchell, David
   Ahmed, Iftekhar
TI Can the vulnerable be resilient? Co-existence of vulnerability and
   disaster resilience: Informal settlements in the Philippines
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Vulnerability; Resilience; Informal settlements; Philippines
ID COMMUNITY RESILIENCE
AB This paper explores the relationship between vulnerability and resilience in the context of informal settlements, using a case study of two barangays in a rural province in the Philippines. Central to the discussion in this paper is whether and how vulnerability and resilience can exist simultaneously.
   The authors first identify community vulnerability, which is explored through geographical, economic, and physical vulnerability. Another element involves land-related vulnerability characterised by unsustainable land use, poor urban planning, nonexistence of building codes and weak land administration. Approximately sixty per cent of all properties in the case study areas are held in informal land tenures. Many of these informal settlers have established houses on land with a high hazard risk - for example, adjacent to rivers, on disused railway reserves and along road corridors. The result is they face the threat of eviction, and may have difficulty returning to their land after disasters.
   Qualitative analysis of households in the case study areas revealed that the strength of social relationships helps to reduce the vulnerability of the communities. A paradoxical relationship between vulnerability and resilience is evident. Strong community perceptions of their level of resilience to the impacts of disasters are supported by the social domains of the community. They have inbuilt resilience resulting from the perception of disasters as part of life, strong social bonds and government awareness of the validity of the informal settlements. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Usamah, Muhibuddin; Handmer, John; Mitchell, David] RMIT Univ, Sch Math & Geospatial Sci, Melbourne, Vic, Australia.
   [Ahmed, Iftekhar] RMIT Univ, Sch Architecture & Design, Melbourne, Vic, Australia.
C3 Royal Melbourne Institute of Technology (RMIT); Royal Melbourne
   Institute of Technology (RMIT)
RP Usamah, M (corresponding author), RMIT Univ, Sch Math & Geospatial Sci, Melbourne, Vic, Australia.
EM muhy.usamah@gmail.com
RI Ahmed, Iftekhar/GPW-8881-2022; Mitchell, David/N-4148-2016
OI Mitchell, David/0000-0002-8782-6440; Ahmed, Iftekhar/0000-0001-5316-4584
FU AusAid through Australian Leadership Awards; School of Mathematical and
   Geospatial Sciences of RMIT University
FX The authors would like to thank Jed Villanueva from the Municipal
   Disaster Management Office, Camalig Municipality for facilitating the in
   depth-interviews and FGD during the data collection process. Estela
   Gumabon from NAMRIA (The National Mapping and Resource Information
   Authority) is acknowledged for her assistance with maps. We are grateful
   to the residents of the two barangays who contributed their time and
   experiences to the study. This research is funded by AusAid through
   Australian Leadership Awards and the School of Mathematical and
   Geospatial Sciences of RMIT University.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Andrew Markus, 2011, MAPPING SOCIAL COHES
   [Anonymous], VULNERABILITY CITIES
   [Anonymous], 2007, HYOGO FRAMEWORK ACTI
   [Anonymous], MUN DIS MAN CONT PLA
   [Anonymous], 2005, Good Practices and Lessons Learned on Child and Adolescent Domestic Labor, P47
   [Anonymous], BUILDING RESILIENT C
   [Anonymous], 2010, [No title captured]
   Blaikie P., 1994, RISK NATURAL HAZARDS
   Blyth Dale A, 1993, HLTH COMMUNITIES HLT
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Buckle P., 2000, AUST J EMERG MANAG, V15, P8, DOI 10.3316/ielapa.369155833780624
   Cardona O.D., 2003, NOTIONS DISASTER RIS
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Cutter Susan L, 2010, J HOMELAND SECUR EME, V7
   de Leon Villagran., 2006, Vulnerability . A Conceptual and Methodological Review
   DENR, 1998, 9812 DENR DAO
   DOW K, 1992, GEOFORUM, V23, P417, DOI 10.1016/0016-7185(92)90052-6
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Forrest R, 2001, URBAN STUD, V38, P2125, DOI 10.1080/00420980120087081
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Government of Albay, 2010, PROV DEV PHYS FRAM P
   GSDRC (Governance and Social Development Resource Centre), 2014, DIS RES TOP GUID
   Handmer J., 1996, Organization Environment, V9, P482, DOI [10.1177/108602669600900403, DOI 10.1177/108602669600900403]
   Jane Jenson, 2010, DEFINING MEASURING S
   Joerin J, 2012, INT J DISAST RISK RE, V1, P44, DOI 10.1016/j.ijdrr.2012.05.006
   John Twigg, 2009, CHARACTERISTICS DISA
   Johnson JL, 2004, SUBST USE MISUSE, V39, P657, DOI 10.1081/JA-120034010
   Juergen Weichselgartner, 2014, PROG HUM GEOGR
   Kenneth Hewitt, 1997, REGIONS RISK GEOGRAP
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Lapiz, 2006, WHAT MAK FIL SPEC
   Maguire B, 2007, AUST J EMERG MANAG, V22, P16
   Manyena SB, 2006, DISASTERS, V30, P433
   Mark Pelling, 1997, ENVIRON URBAN, V9, P203
   MCCUBBIN HI, 1988, FAM RELAT, V37, P247, DOI 10.2307/584557
   Mileti Dennis A, 1999, DISASTERS DESIGN REA
   MoC, 2010, BRIEF PROF CAM MUN
   Mulvaney-Day NE, 2007, SOC SCI MED, V64, P477, DOI 10.1016/j.socscimed.2006.08.030
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   NSCB, 2009, ANN CAP POV THRESH P
   Paton D., 2003, Disaster Prevention and Management, V12, P210, DOI DOI 10.1108/09653560310480686
   Peter Timmerman, 1981, ENV MONOGR, V1
   Philipp Buckle, 2006, DISASTER RESILIENCE
   Rolf J.E., 1999, RESILIENCE DEV POSIT, P5
   Seccombe K, 2002, J MARRIAGE FAM, V64, P384, DOI 10.1111/j.1741-3737.2002.00384.x
   Terry Cannon, 2000, FLOODS, VI
   UN-HABITAT, 2010, LAND NAT DIS GUID PR
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Walker B., 2004, Ecology and Society, V9, P5
   Weichselgartner J, 2000, MANAG INFORMAT SYST, V3, P3
   Weichselgartner J., 2001, DISASTER PREV MANAG, V10, P85, DOI [10.1108/09653560110388609, DOI 10.1108/09653560110388609]
   Wisner B., 2004, Mapping Vulnerability: Disasters, Development, and People, P183, DOI DOI 10.4324/9781849771924
   Wisner B., 2009, INT ENCY HUMAN GEOGR, P176
   Wisner Ben, 2003, RISK NATURAL HAZARDS
   Yengoyan Aram A, 2004, PHILIPPINE SOC INDIV, P13
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
NR 60
TC 68
Z9 69
U1 4
U2 45
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD DEC
PY 2014
VL 10
BP 178
EP 189
DI 10.1016/j.ijdrr.2014.08.007
PN A
PG 12
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA CM5NC
UT WOS:000357733900014
DA 2025-04-22
ER

PT J
AU Sharma, AK
   Tjandraatmadja, G
   Cook, S
   Gardner, T
AF Sharma, Ashok K.
   Tjandraatmadja, Grace
   Cook, Stephen
   Gardner, Ted
TI Decentralised systems - definition and drivers in the current context
SO WATER SCIENCE AND TECHNOLOGY
LA English
DT Article
DE decentralised urban water systems; integrated urban water management;
   on-site wastewater; water sensitive urban design
ID URBAN WATER MANAGEMENT; DESIGN
AB This paper explores the current context for decentralised approaches in the provision of urban water services. It examines the recent history of decentralised systems' implementation in Australia and identifies its drivers. The drivers included addressing capacity constraints of centralised systems, mitigating the environmental impact of urban development, and increasing the resilience of urban water systems to episodic droughts and the projected impacts of climate change. The concepts of integrated urban water management and water sensitive urban design were prevalent in many of the innovative approaches used for the provision of decentralised urban water services. However, there remains a degree of confusion among water professionals in the terminology adopted for on-site and decentralised systems. Based on a literature review, consultation with water industry professionals and examination of decentralised urban developments in Australia, this paper has developed a generalised definition of decentralised systems for adoption across the water sector. The definition encompasses the various development scales in which decentralised systems are implemented, and reflects the new functions and characteristics inherent to those systems.
C1 [Sharma, Ashok K.; Tjandraatmadja, Grace; Cook, Stephen] CSIRO Land & Water, Highett, Vic 3190, Australia.
   [Gardner, Ted] CSIRO Land & Water, Dutton Pk, Qld, Australia.
   [Gardner, Ted] Cent Queensland Univ, Rockhampton, Qld 4702, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Central Queensland University
RP Sharma, AK (corresponding author), CSIRO Land & Water, 37 Graham Rd, Highett, Vic 3190, Australia.
EM ashok.sharma@csiro.au
RI Cook, Stephen/B-4156-2010; Cook, Stephen/G-7216-2011; Sharma,
   Ashok/A-4945-2008
OI Cook, Stephen/0000-0002-9623-7031; Sharma, Ashok/0000-0002-0172-5033
CR [Anonymous], 2002, EPA/625/R-00/008, P1
   [Anonymous], 2007, Sustainable Subdivisions-Review of technologies for integrated water services
   [Anonymous], 2008, Vital Water Graphics: An Over of the State of the Worlds Fresh and Marine Waters
   [Anonymous], WAT QUAL GUID REC WA
   [Anonymous], 2010, WORLD URB PROSP 2009
   Argue JR., 2004, Water Sensitive Urban Design: basic procedures for "source control" of stormwater
   Barton AB, 2007, AUSTRALAS J WAT RESO, V11, P31, DOI 10.1080/13241583.2007.11465309
   Bieker S, 2010, WATER SCI TECHNOL, V61, P2905, DOI 10.2166/wst.2010.189
   Brown R, 2009, INT J WATER RESOUR D, V25, P15, DOI 10.1080/07900620802586090
   Burn S, 2012, WATER SCI TECHNOL, V66, P113, DOI 10.2166/wst.2012.071
   Chong M. N., 2011, INT WAT MAN 2011 IWA
   Crites R.W., 1998, SMALL DECENTRALIZED
   Danielson T., 2008, WATER ENV TECHNOLOGY, V20
   Defrain M., 2010, DECENTRALISED WASTEW
   Diaper C, 2007, TRANSITIONS PATHWAYS
   DIAPER C, 2004, 2004073 CSIRO MIT
   Fielding M., 2007, PUBLIC WORKS MA 0110
   Geisinger D., 2005, Clearwaters, V35, P6
   Gikas P, 2009, J ENVIRON MANAGE, V90, P144, DOI 10.1016/j.jenvman.2007.08.016
   Gray S.R., 2002, Urban Water, V4, P331, DOI [DOI 10.1016/S1462-0758(02)00033-X, 10.1016/S1462-0758(02)00033-X]
   Mitchell C., 2003, Water, V30, P25
   Mitchell VG, 2006, ENVIRON MANAGE, V37, P589, DOI 10.1007/s00267-004-0252-1
   Mpelasoka F, 2008, INT J CLIMATOL, V28, P1283, DOI 10.1002/joc.1649
   Pinkham R., 2004, Valuing decentralized wastewater technologies
   Queensland Government, INT FIN QUEENS UNPUB
   Queensland Government, 2007, GUID QUEENSL PLUMB W
   Radcliffe J.C., 2004, WATER RECYCLING AUST
   Reynders C., 2012, J EC DEV ENV PEOPLE, V1, P69
   Sharma A., 2007, WATER MANAGEMENT CHA
   Sharma AK, 2010, WATER SCI TECHNOL, V62, P570, DOI 10.2166/wst.2010.205
   Sharma AK, 2008, URBAN WATER J, V5, P147, DOI 10.1080/15730620701736829
   Sharma AK, 2009, ENVIRON ENG SCI, V26, P921, DOI 10.1089/ees.2008.0063
   Standards Australia and New Zealand, 2000, 15472000 ASNZS ONS D
   Tjandraatmadja G., 2008, ICON WATER SENSITIVE
   USEPA, 2005, 832R05002 USEPA
   van Roon M, 2007, J ENVIRON MANAGE, V83, P437, DOI 10.1016/j.jenvman.2006.04.008
   [No title captured]
NR 37
TC 39
Z9 39
U1 0
U2 39
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 0273-1223
EI 1996-9732
J9 WATER SCI TECHNOL
JI Water Sci. Technol.
PY 2013
VL 67
IS 9
BP 2091
EP 2101
DI 10.2166/wst.2013.093
PG 11
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA 148PA
UT WOS:000319256300026
PM 23656954
DA 2025-04-22
ER

PT J
AU Akhtar, N
   Saqib, Z
   Khan, MI
   Martin, MA
   Atif, SB
   Zaman, MH
AF Akhtar, N.
   Saqib, Z.
   Khan, M., I
   Martin, M. A.
   Atif, S. B.
   Zaman, M. H.
TI A BIBLIOMETRIC ANALYSIS OF CONTEMPORARY RESEARCH REGARDING INDUSTRIAL
   SYMBIOSIS: A PATH TOWARDS URBAN ENVIRONMENTAL RESILIENCE
SO APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
LA English
DT Article
DE industrial ecology; bibliometric analysis; ecological sustainability;
   environmental resilience; applied ecology
ID NETWORK ANALYSIS; EVOLUTION; PARK; OPTIMIZATION; MITIGATION; ALLOCATION;
   BENEFITS; TRENDS
AB The conceptual framework of industrial symbiosis (IS) is gaining recognition for ensuring the conservation of natural resources and resilience of socio-ecological surroundings. Significant scholastic strides have been made for explaining the conceptual paradigm of IS. The current study relied upon the Bibliometric mapping technique to decipher the contemporary orientations in the recent publications (2007-2017). The findings revealed that China, UK and the USA are the pivot for promoting research interests in the field. The loci of IS research was observed more skewed in favour of economically developed and industrialized countries. The findings of this study also acknowledge a growing propensity towards research collaboration between and among nations.
C1 [Akhtar, N.; Khan, M., I] Int Islamic Univ, Dept Environm Sci, Sect H-10, Islamabad 44000, Pakistan.
   [Saqib, Z.; Atif, S. B.; Zaman, M. H.] Int Islamic Univ, Dept Environm Sci, GIS & Ecoinformat Lab, Sect H-10, Islamabad 44000, Pakistan.
   [Atif, S. B.] Govt Coll, Dept Geog, Asghar Mall, Rawalpindi, Pakistan.
   [Martin, M. A.] IVL Swedish Environm Res Inst, Stockholm, Sweden.
C3 International Islamic University, Pakistan; International Islamic
   University, Pakistan; IVL Swedish Environmental Research Institute
RP Akhtar, N (corresponding author), Int Islamic Univ, Dept Environm Sci, Sect H-10, Islamabad 44000, Pakistan.
EM nadia@iiu.edu.pk
RI Saqib, Zafeer/R-2044-2019; Akhtar, Nadia/AGG-0404-2022; Martin,
   Michael/Y-1206-2019; ul Haq, Muhammad Zaman/ABI-1160-2022; Saqib,
   Zafeer/J-4364-2017
OI Martin, Michael/0000-0003-3014-8930; Akhtar, Nadia/0000-0003-4214-4726;
   Saqib, Zafeer/0000-0002-8008-750X; ul Haq, Muhammad
   Zaman/0000-0002-7774-6033
FU Higher Education Commission of Pakistan (HEC, Pakistan) under National
   Research Program for Universities (NRPU) [4728]
FX The financial assistance rendered by Higher Education Commission of
   Pakistan (HEC, Pakistan) under National Research Program for
   Universities (NRPU) Project No. 4728 is acknowledged. We are also
   indebted to anonymous reviewers for their invaluable suggestions to
   improve the orientation and quality of this manuscript.
CR Alfaro J, 2014, J IND ECOL, V18, P145, DOI 10.1111/jiec.12077
   [Anonymous], 17TH INTERNATIONAL D
   Atif SB, 2018, APPL ECOL ENV RES, V16, P3545, DOI 10.15666/aeer/1603_35453581
   Baas L, 2011, BUS STRATEG ENVIRON, V20, P428, DOI 10.1002/bse.735
   Boons F, 2015, COMPARING IND SYMBIO
   Boons F, 2017, J IND ECOL, V21, P938, DOI 10.1111/jiec.12468
   Boons F, 2014, J IND ECOL, V18, P341, DOI 10.1111/jiec.12116
   Boons F, 2012, J IND ECOL, V16, P61, DOI 10.1111/j.1530-9290.2011.00432.x
   Boons F, 2011, J CLEAN PROD, V19, P905, DOI 10.1016/j.jclepro.2011.01.003
   Chertow M., 2016, Taking Stock of Industrial Ecology, P87, DOI [10.1007/978-3-319-20571-7_5, DOI 10.1007/978-3-319-20571-7_5]
   Chertow M. R, 2008, SUSTAINABLE DEV ENV
   Chertow MR, 2000, ANNU REV ENERG ENV, V25, P313, DOI 10.1146/annurev.energy.25.1.313
   Cobo MJ, 2011, J AM SOC INF SCI TEC, V62, P1382, DOI 10.1002/asi.21525
   Desrochers Pierre, 2001, Journal of Industrial Ecology, V5, P29, DOI 10.1162/10881980160084024
   Dong L, 2013, ENERG POLICY, V61, P864, DOI 10.1016/j.enpol.2013.06.084
   Eito-Brun R, 2016, SCIENTOMETRICS, V109, P551, DOI 10.1007/s11192-016-2053-8
   Geng Y, 2009, J IND ECOL, V13, P15, DOI 10.1111/j.1530-9290.2008.00071.x
   Govindaradjou S, 2014, S AFR J LIBR INF, V80, P27, DOI 10.7553/80-1-181
   Hein A. M, 2015, ASME 2015 INT DES EN
   Hein A. M, 2016, ASME 2016 INT DES EN
   Hein A. M, 2017, INT C RES DES, P691
   Hein AM, 2017, J CLEAN PROD, V148, P923, DOI 10.1016/j.jclepro.2017.01.136
   Iglic H, 2017, SCIENTOMETRICS, V112, P153, DOI 10.1007/s11192-017-2386-y
   Laybourn P, 2012, J IND ECOL, V16, P11, DOI 10.1111/j.1530-9290.2011.00451.x
   Lifset R, 2012, J IND ECOL, V16, P1, DOI 10.1111/j.1530-9290.2011.00448.x
   Liu CL, 2016, SCIENTOMETRICS, V109, P159, DOI 10.1007/s11192-016-2045-8
   Lombardi DR, 2012, J IND ECOL, V16, P2, DOI 10.1111/j.1530-9290.2012.00455.x
   MacLachlan I, 2013, AUST GEOGR, V44, P383, DOI 10.1080/00049182.2013.852505
   Marinos-Kouris D, 2013, FRESEN ENVIRON BULL, V22, P2174
   Martin M, 2011, BIOMASS BIOENERG, V35, P1747, DOI 10.1016/j.biombioe.2011.01.016
   Mauthoor S, 2017, J CLEAN PROD, V147, P506, DOI 10.1016/j.jclepro.2017.01.138
   Mirata M, 2006, INDUSTRIAL ECOLOGY AND SPACES OF INNOVATION, P77
   Mishra D, 2018, ANN OPER RES, V270, P313, DOI 10.1007/s10479-016-2236-y
   Neff MW, 2009, SCIENTOMETRICS, V80, P657, DOI 10.1007/s11192-008-2099-3
   Ng R. T, 2014, COMPUTER AIDED CHEM
   Ng RTL, 2014, CHEM ENGINEER TRANS, V39, P859, DOI 10.3303/CET1439144
   Ng RTL, 2014, J ENVIRON CHEM ENG, V2, P652, DOI 10.1016/j.jece.2013.11.003
   Paquin RL, 2013, ORGAN STUD, V34, P1623, DOI 10.1177/0170840612470230
   Persson O., 2009, Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at his 60th Birthday, P9
   Tan RR, 2016, CHEM ENG RES DES, V106, P43, DOI 10.1016/j.cherd.2015.11.009
   Trokanas N, 2014, COMPUTER AIDED CHEM
   Trokanas N, 2012, COMPUTER AIDED CHEM
   Trokanas N, 2015, COMPUTER AIDED CHEM
   Trokanas N, 2015, J CLEAN PROD, V96, P349, DOI 10.1016/j.jclepro.2013.12.046
   Trokanas N, 2014, COMPUT CHEM ENG, V66, P259, DOI 10.1016/j.compchemeng.2014.02.010
   Van Eck N.J., 2011, ARXIV11092058
   Wasserman S., 1994, SOCIAL NETWORK ANAL
   Yu C, 2014, J IND ECOL, V18, P280, DOI 10.1111/jiec.12073
   Yu F, 2015, J CLEAN PROD, V103, P811, DOI 10.1016/j.jclepro.2014.05.038
   Yu F, 2015, ENVIRON SCI POLLUT R, V22, P5511, DOI 10.1007/s11356-014-3712-z
   Yu F, 2015, J CLEAN PROD, V87, P339, DOI 10.1016/j.jclepro.2014.10.058
   Zhang H, 2013, SUSTAIN ENERGY TECHN, V2, P67, DOI 10.1016/j.seta.2013.03.003
   Zhang H, 2013, ENERG POLICY, V61, P1400, DOI 10.1016/j.enpol.2013.05.066
   Zhang Y, 2016, FRONT EARTH SCI-PRC, V10, P352, DOI 10.1007/s11707-015-0520-9
   Zhang Y, 2015, ECOL MODEL, V306, P174, DOI 10.1016/j.ecolmodel.2014.05.005
   Zhang Y, 2015, J CLEAN PROD, V96, P126, DOI 10.1016/j.jclepro.2014.01.096
   Zhang Y, 2015, FRONT EARTH SCI-PRC, V9, P91, DOI 10.1007/s11707-014-0445-8
   Zhang Y, 2013, FRONT EARTH SCI-PRC, V7, P169, DOI 10.1007/s11707-012-0349-4
NR 58
TC 10
Z9 10
U1 2
U2 34
PU CORVINUS UNIV BUDAPEST
PI BUDAPEST
PA VILLANYI UT 29/43, BUDAPEST, H-1118, HUNGARY
SN 1589-1623
EI 1785-0037
J9 APPL ECOL ENV RES
JI Appl. Ecol. Environ. Res.
PY 2019
VL 17
IS 1
BP 1159
EP 1221
DI 10.15666/aeer/1701_11591221
PG 63
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HK0OA
UT WOS:000457598100077
OA gold
DA 2025-04-22
ER

PT J
AU Herrick, AL
   Lim, SH
   Wei, CY
   Smith, H
   Guadamuz, T
   Friedman, MS
   Stall, R
AF Herrick, Amy L.
   Lim, Sin How
   Wei, Chongyi
   Smith, Helen
   Guadamuz, Thomas
   Friedman, Mark S.
   Stall, Ron
TI Resilience as an Untapped Resource in Behavioral Intervention Design for
   Gay Men
SO AIDS AND BEHAVIOR
LA English
DT Article
DE Gay men's health; Intervention design; Resilience; Strength-based
ID PSYCHOSOCIAL HEALTH-PROBLEMS; URBAN MEN; DRUG-USE; SEX; RISK; HIV;
   METAANALYSIS; CHILDHOOD; ALCOHOL; SAMPLE
AB Men who have sex with men experience high rates of psychosocial health problems such as depression, substance use, and victimization that may be in part the result of adverse life experiences related to cultural marginalization and homophobia. These psychosocial health conditions interact to form a syndemic which may be driving HIV risk within this population. However, MSM also evidence great resilience to both the effects of adversity and the effects of syndemics. Investigating and harnessing these natural strengths and resiliencies may enhance HIV prevention and intervention programs thereby providing the additional effectiveness needed to reverse the trends in HIV infection among MSM.
C1 [Herrick, Amy L.; Lim, Sin How; Wei, Chongyi; Smith, Helen; Guadamuz, Thomas; Friedman, Mark S.; Stall, Ron] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Behav & Community Hlth Sci, Pittsburgh, PA 15260 USA.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE); University
   of Pittsburgh
RP Herrick, AL (corresponding author), Univ Pittsburgh, Grad Sch Publ Hlth, Dept Behav & Community Hlth Sci, 130 DeSoto St, Pittsburgh, PA 15260 USA.
EM alh75@pitt.edu
RI Guadamuz, Thomas/IXX-2284-2023; Lim, Sin/AAC-8004-2020
OI Guadamuz, Thomas/0000-0001-6803-1127
FU NIMH NIH HHS [K01 MH085567] Funding Source: Medline
CR [Anonymous], LATINOGAY MEN HIV CU
   [Anonymous], VIENN INT AIDS C
   Braveman Paula, 2009, Pediatrics, V124 Suppl 3, pS163, DOI 10.1542/peds.2009-1100D
   *CDCP, SYND PREV NETW SPOTL
   Ciesla JA, 2001, AM J PSYCHIAT, V158, P725, DOI 10.1176/appi.ajp.158.5.725
   Cruz J M, 2001, Violence Vict, V16, P161
   FRIEDMAN MS, 2010, AM J PUBLIC IN PRESS
   Greenwood GL, 2005, AM J PUBLIC HEALTH, V95, P145, DOI 10.2105/AJPH.2003.021451
   Greenwood GL, 2002, AM J PUBLIC HEALTH, V92, P1964, DOI 10.2105/AJPH.92.12.1964
   Herbst JH, 2005, JAIDS-J ACQ IMM DEF, V39, P228
   HERRICK A, 2010, J ADOLESC H IN PRESS
   Johnson WD, 2008, COCHRANE DB SYST REV, DOI 10.1002/14651858.CD001230.pub2
   Marshal MP, 2008, ADDICTION, V103, P546, DOI 10.1111/j.1360-0443.2008.02149.x
   Meyer IH, 2003, PSYCHOL BULL, V129, P674, DOI 10.1037/0033-2909.129.5.674
   Mills TC, 2004, AM J PSYCHIAT, V161, P278, DOI 10.1176/appi.ajp.161.2.278
   Mustanski B, 2007, ANN BEHAV MED, V34, P37, DOI 10.1007/BF02879919
   Paul JP, 2001, CHILD ABUSE NEGLECT, V25, P557, DOI 10.1016/S0145-2134(01)00226-5
   STALL R, 1988, DRUG ALCOHOL DEPEN, V22, P63, DOI 10.1016/0376-8716(88)90038-5
   Stall R, 2003, AM J PUBLIC HEALTH, V93, P939, DOI 10.2105/AJPH.93.6.939
   Stall R, 2001, ADDICTION, V96, P1589, DOI 10.1046/j.1360-0443.2001.961115896.x
   Stall R, 2008, Unequal Opportunity: Health Disparities Affecting Aay Bisexual Men United States, P251, DOI DOI 10.1093/ACPROF:OSO/9780195301533.003.0009
   Weich S, 2009, BRIT J PSYCHIAT, V194, P392, DOI 10.1192/bjp.bp.107.042515
   Wolitski R.J., 2008, UNEQUAL OPPORTUNITY
NR 23
TC 134
Z9 177
U1 0
U2 17
PU SPRINGER/PLENUM PUBLISHERS
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1090-7165
EI 1573-3254
J9 AIDS BEHAV
JI AIDS Behav.
PD APR
PY 2011
VL 15
SU 1
BP S25
EP S29
DI 10.1007/s10461-011-9895-0
PG 5
WC Public, Environmental & Occupational Health; Social Sciences, Biomedical
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Biomedical Social Sciences
GA 814EG
UT WOS:000294428800004
PM 21344306
OA Bronze
DA 2025-04-22
ER

PT J
AU Keller, R
   Vance, C
AF Keller, Rose
   Vance, Colin
TI Linked to Landscape: Assessing Urbanization in Germany through Landscape
   and Economic Factors
SO PROFESSIONAL GEOGRAPHER
LA English
DT Article
DE environmental amenities; fragmentation; Germany; satellite imagery;
   spatial regression models; urban land use change
ID EXURBAN DEVELOPMENT; LAND-USE; URBAN; PATTERN; CHOICE; RESILIENCE;
   SPRAWL; GROWTH; AREAS
AB The ongoing encroachment of urban land into natural landscapes has resulted in the degradation of ecosystems throughout Europe. Understanding why the share of urban land has increased is important for managing urban growth and maintaining ecosystem services. We estimate a model of landscape change that integrates geospatial and socioeconomic data in a spatial autoregressive model to explain the variance in urban growth observed in Germany between 2000 and 2006. In doing so, we test several determinants of urbanization identified by theoretical frameworks from landscape ecology and economics, including landscape pattern and transit infrastructure. The results show that despite planning guidelines and policies to promote dense development, urban growth has been extensive. Regions with a high degree of fragmented land and the prevalence of environmental amenities are characterized by particularly strong growth, pointing to challenges in crafting landscape policies that balance economic development with environmental conservation.
C1 [Keller, Rose] Denali Natl Pk, Natl Pk Serv, Denali Natl Pk, AK 99743 USA.
   [Keller, Rose] Univ Bremen, Bremen, Germany.
   [Vance, Colin] Jacobs Univ Bremen, Dept Social & Econ Sci, D-28759 Bremen, Germany.
   [Vance, Colin] RWI, Essen, Germany.
C3 United States Department of the Interior; US National Park Service;
   University of Bremen; Constructor University
RP Keller, R (corresponding author), Denali Natl Pk, Natl Pk Serv, Denali Natl Pk, AK 99743 USA.; Keller, R (corresponding author), Univ Bremen, Bremen, Germany.
EM rose_keller@nps.gov; c.vance@jacobs-university.de
RI Keller, Rose/AAM-7568-2020
OI Keller, Rose/0000-0003-0491-7513
CR An L, 2011, J LAND USE SCI, V6, P13, DOI 10.1080/1747423X.2010.500686
   [Anonymous], 2008, LANDSCHAFTSZERSCHNEI
   [Anonymous], 2012, MODERN EC, V3, P253
   [Anonymous], 2011, LAY FDN GREEN TRANSP
   [Anonymous], 2010, Handbook of Applied Spatial Analysis, DOI [DOI 10.1007/978-3-642-03647-7_18, DOI 10.1007/978-3-642-03647-718]
   Anselin L, 2003, INT REGIONAL SCI REV, V26, P153, DOI 10.1177/0160017602250972
   Anselin L., 2011, SPATIAL FIXED EFFECT
   Aslaksen I, 2012, POLAR GEOGR, V35, P135, DOI 10.1080/1088937X.2011.654357
   Beckmann Jon P., 2010, P3
   Berechman Joseph., 2013, Public transit economics and deregulation policy
   Brueckner JK, 2005, REG SCI URBAN ECON, V35, P715, DOI 10.1016/j.regsciurbeco.2005.01.001
   Bundesministerium fur Raumordnung Bauwesen und Stadtebau, 1993, LEITB FUER REUML ENT
   CAPOZZA DR, 1989, J URBAN ECON, V26, P295, DOI 10.1016/0094-1190(89)90003-X
   Castle EN, 2011, APPL ECON PERSPECT P, V33, P179, DOI 10.1093/aepp/ppr009
   Cervero R, 2002, TRANSPORT RES D-TR E, V7, P265, DOI 10.1016/S1361-9209(01)00024-4
   Cervero R, 2003, J AM PLANN ASSOC, V69, P145, DOI 10.1080/01944360308976303
   Cervero R, 2002, J PLAN LIT, V17, P3, DOI 10.1177/088122017001001
   Clark JK, 2009, LANDSCAPE URBAN PLAN, V90, P178, DOI 10.1016/j.landurbplan.2008.11.002
   Compas E, 2007, LANDSCAPE URBAN PLAN, V82, P56, DOI 10.1016/j.landurbplan.2007.01.016
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cressie N. A. C., 2011, Statistics for Spatio-Temporal Data
   DeFries R, 2007, ECOL APPL, V17, P1031, DOI 10.1890/05-1111
   Dong HW, 2013, URBAN GEOGR, V34, P989, DOI 10.1080/02723638.2013.778587
   Dunham IM, 2015, PROF GEOGR, V67, P132, DOI 10.1080/00330124.2014.907697
   EEA, 2021, Land take in Europe
   EEA, 2012, ENV IND REP 2012
   Ellis EC, 2013, P NATL ACAD SCI USA, V110, P7978, DOI 10.1073/pnas.1217241110
   European Environmental Agency (EEA), 2006, INT ENV IND IRENA IN
   European Pollutant Emission Register (EPER), 2004, EUR ENV AG DAT FIL
   Fahrig L, 2005, ECOSYSTEM FUNCTION IN HETEROGENEOUS LANDSCAPES, P95, DOI 10.1007/0-387-24091-8_6
   Fischer J, 2006, FRONT ECOL ENVIRON, V4, P80, DOI 10.1890/1540-9295(2006)004[0080:BEFART]2.0.CO;2
   Galler C., 2013, Landscape Ecology for Sustainable Environment and Culture, P249
   Geoghegan J, 2002, LAND USE POLICY, V19, P91, DOI 10.1016/S0264-8377(01)00040-0
   Graves PE, 2003, ENVIRON PLANN A, V35, P191, DOI 10.1068/a3577
   Gustafson EJ, 2005, LANDSCAPE ECOL, V20, P773, DOI 10.1007/s10980-005-2149-7
   Hanson S., 2004, The geography of urban transportation, V3rd
   Iovanna R., 2012, SFB DISCUSSION PAPER, V828
   Irwin EG, 2007, P NATL ACAD SCI USA, V104, P20672, DOI 10.1073/pnas.0705527105
   Jaeger J., 2006, MEASURING LANDSCAPE
   Jaeger JAG, 2000, LANDSCAPE ECOL, V15, P115, DOI 10.1023/A:1008129329289
   Keller R, 2013, J TRANSP GEOGR, V33, P250, DOI 10.1016/j.jtrangeo.2013.07.006
   Klar N, 2012, LANDSCAPE URBAN PLAN, V105, P376, DOI 10.1016/j.landurbplan.2012.01.007
   Lake RW, 2005, URBAN GEOGR, V26, P266, DOI 10.2747/0272-3638.26.3.266
   Lake RW, 2003, SOC SCI QUART, V84, P1002, DOI 10.1046/j.0038-4941.2003.08404013.x
   Lambin E.F., 2006, Land-Use and Land-Cover Change, DOI 10.1007/3-540-32202-7
   Lindenmayer DB, 2013, LANDSCAPE ECOL, V28, P1099, DOI 10.1007/s10980-012-9720-9
   Mansfield B, 2015, ANN ASSOC AM GEOGR, V105, P284, DOI 10.1080/00045608.2014.973802
   MCGARIGAL K, 1995, ECOL MONOGR, V65, P235, DOI 10.2307/2937059
   Mitchell CJA, 2004, J RURAL STUD, V20, P15, DOI 10.1016/S0743-0167(03)00031-7
   Mitchell CJA, 2013, J RURAL STUD, V32, P375, DOI 10.1016/j.jrurstud.2013.09.005
   Musacchio LR, 2009, LANDSCAPE ECOL, V24, P993, DOI 10.1007/s10980-009-9396-y
   Park J. R., 2009, Environment Development and Sustainability, V11, P735, DOI 10.1007/s10668-008-9140-9
   Radeloff VC, 2010, P NATL ACAD SCI USA, V107, P940, DOI 10.1073/pnas.0911131107
   Rasker R, 2006, SOC NATUR RESOUR, V19, P191, DOI 10.1080/08941920500460583
   Rasker R., 2013, Journal of Regional Analysis and Policy, V43, P110
   Rudel TK, 2009, P NATL ACAD SCI USA, V106, P20675, DOI 10.1073/pnas.0812540106
   Rudzitis G., 1996, WILDERNESS CHANGING
   Salvati L, 2014, SCOT GEOGR J, V130, P22, DOI 10.1080/14702541.2013.838636
   Salvati L, 2013, URBAN GEOGR, V34, P376, DOI 10.1080/02723638.2013.778675
   Schmidt L, 2006, J REGIONAL SCI, V46, P931, DOI 10.1111/j.1467-9787.2006.00491.x
   Schmidt S, 2011, URBAN GEOGR, V32, P105, DOI 10.2747/0272-3638.32.1.105
   Schneider A, 2008, URBAN STUD, V45, P659, DOI 10.1177/0042098007087340
   Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104
   Vias AC, 2005, GROWTH CHANGE, V36, P244, DOI 10.1111/j.1468-2257.2005.00276.x
   Waddell P, 2002, J AM PLANN ASSOC, V68, P297, DOI 10.1080/01944360208976274
   Walker PeterA., 2011, PLANNING PARADISE PO
   Weber JL, 2007, ECOL ECON, V61, P695, DOI 10.1016/j.ecolecon.2006.05.023
   Wu JG, 2010, LANDSCAPE ECOL, V25, P1, DOI 10.1007/s10980-009-9444-7
   Wu J, 2008, AM J AGR ECON, V90, P392, DOI 10.1111/j.1467-8276.2007.01126.x
NR 69
TC 2
Z9 3
U1 0
U2 23
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0033-0124
EI 1467-9272
J9 PROF GEOGR
JI Prof. Geogr.
PY 2017
VL 69
IS 3
BP 424
EP 437
DI 10.1080/00330124.2016.1266946
PG 14
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA EY2HW
UT WOS:000403790200008
DA 2025-04-22
ER

PT J
AU Gorostiza, S
   March, H
   Sauri, D
AF Gorostiza, Santiago
   March, Hug
   Sauri, David
TI "Urban Ecology Under Fire": Water Supply in Madrid During the Spanish
   Civil War (1936-1939)
SO ANTIPODE
LA English
DT Article
DE urban water management; infrastructure disruptions; Urban Political
   Ecology; Spanish Civil War; Madrid
ID POLITICAL ECOLOGY; GEOGRAPHY; CITY
AB This paper investigates the critical role of workers to enhance the resilience of water supply services in cities at war through analyzing the case of Madrid and the Madrid water company Canales del Lozoya during the Spanish Civil War (1936-1939). We argue that securing the protection of vital urban flows mediated through infrastructures is a key objective of cities under attack. In doing so we contend that examining how those affected by the interruption of these flows cope with the situation represents a valuable but largely neglected form of water management. We illustrate how quotidian knowledge about the urban geography of water flows may have important repercussions for the war effort itself. In a nutshell, the case of Madrid offers an early account of the critical role of water workers in sustaining urban ecologies under fire securing the complex urban metabolism while also contributing to the struggle against invading forces.
C1 [Gorostiza, Santiago] Univ Coimbra, Ctr Estudos Sociais, Coimbra, Portugal.
   [March, Hug] Univ Oberta Catalunya, Internet Interdisciplinary Inst IN3, Barcelona, Spain.
   [Sauri, David] Univ Autonoma Barcelona, Dept Geog, Bellaterra, Spain.
C3 Universidade de Coimbra; UOC Universitat Oberta de Catalunya; Autonomous
   University of Barcelona
RP Gorostiza, S (corresponding author), Univ Coimbra, Ctr Estudos Sociais, Coimbra, Portugal.
EM sgorostiza@ces.uc.pt
RI Sauri, David/G-8131-2015; March, Hug/F-4935-2016; Gorostiza,
   Santiago/K-7308-2014
OI Sauri, David/0000-0002-3618-7773; March, Hug/0000-0003-2549-0803;
   Gorostiza, Santiago/0000-0002-8516-5642
CR [Anonymous], ELECT TERMOSOLAR HIS
   [Anonymous], REV OBRAS PUBLICAS
   [Anonymous], BESIEGED 7 CITIES SI
   [Anonymous], LLUITA CONTRA FEBRE
   [Anonymous], WAR ENV MILITARY DES
   [Anonymous], DISRUPTED CITIES INF
   [Anonymous], CHECHENIA DESHONRA R
   [Anonymous], MADR CAS STUD
   [Anonymous], OBRAS PUBLICAS APORT
   [Anonymous], 1990, AM HERITAGE INVENTIO
   [Anonymous], CORONA HECHA TRIZAS
   [Anonymous], GEN MIAJA BIOGRAFIA
   [Anonymous], ENC MADR SIGL 20
   [Anonymous], AGUAS MADRID PAZ GUE
   [Anonymous], ABC 1001
   [Anonymous], PRIM CIEN AN CAN IS
   [Anonymous], MADRID ATLAS HIST CI
   [Anonymous], MADRID EBRO MIS RECU
   [Anonymous], GUERRA EXILIO CARCEL
   [Anonymous], GUERRA CIVIL CIUDAD
   [Anonymous], 2008, SITIO LENINGRADO 194
   [Anonymous], HIST DE MADRID
   [Anonymous], GESTION DELEGACION G
   [Anonymous], REV OBRAS PUBLICAS
   [Anonymous], FIR EFF BOMB ATT
   [Anonymous], REV OBRAS PUBLICAS
   [Anonymous], B OFICIAL CANALES LO
   [Anonymous], BENEATH FLANDERS FIE
   [Anonymous], ABC 0927
   [Anonymous], MADRID GUERRA CIVIL
   [Anonymous], CANAL ISABEL 2 MEMOR
   [Anonymous], NUESTRA GUERRA MEMOR
   [Anonymous], HIST CANAL ISABEL 2
   [Anonymous], EL PAIS 0504
   [Anonymous], HIST EJERCITO POPULA
   [Anonymous], ABC 0729
   [Anonymous], LA BATALLA DE MADRID
   [Anonymous], 2010, HIST GUERRA CIVIL ES
   [Anonymous], 1994, AGUA MADRID DATOS HI
   [Anonymous], 2012, GEOGRAPHIE CA SERT A
   [Anonymous], REV OBRAS PUBLICAS
   [Anonymous], GUERR MIN ESP CONTR
   [Anonymous], LUCHA TORNO MADRID I
   [Anonymous], ABC 0919
   [Anonymous], HIST CUERPO BOMBEROS
   [Anonymous], ESPANA LLAMAS GUERRA
   [Anonymous], HUFFINGTON POST 0211
   [Anonymous], EJERCITO PROTEGE AGU
   [Anonymous], THESIS U AUTNOMA BAR
   Arostegui Julio, 1984, La Junta de Defensa de Madrid
   Bakker K, 2007, ANTIPODE, V39, P430, DOI 10.1111/j.1467-8330.2007.00534.x
   Bowd GP, 2013, ANN ASSOC AM GEOGR, V103, P627, DOI 10.1080/00045608.2011.653729
   Brady LM, 2005, ENVIRON HIST, V10, P421, DOI 10.1093/envhis/10.3.421
   Castree N, 2007, INT J URBAN REGIONAL, V31, P853, DOI 10.1111/j.1468-2427.2007.00761.x
   Colodny Robert., 1958, STRUGGLE MADRID CENT
   Cortada James W., 2012, Modern Warfare in Spain: American Military Observations on the Spanish Civil War, 1936-1939
   Fedman D, 2012, J HIST GEOGR, V38, P306, DOI 10.1016/j.jhg.2012.02.004
   Gandy Matthew., 2002, Concrete and Clay: Reworking Nature in New York City
   GEA ORTIGAS Maria Isabel, 2002, Diccionario Enciclopedico de Madrid
   Gorostiza S, 2013, ANTIPODE, V45, P908, DOI 10.1111/j.1467-8330.2012.01013.x
   Graham Stephen., 2009, Disrupet cities - When Infrastructure Fails, P1
   Gregory Derek., 2011, Cultural Memories, P249
   HEWITT K, 1987, ENVIRON PLANN D, V5, P445, DOI 10.1068/d050445
   HEWITT K, 1994, ANTIPODE, V26, P1, DOI 10.1111/j.1467-8330.1994.tb00229.x
   HEWITT K, 1983, ANN ASSOC AM GEOGR, V73, P257, DOI 10.1111/j.1467-8306.1983.tb01412.x
   Hewitt K., 1997, Regions of risk. A geographical introduction to disasters
   Hewitts K, 1983, INTERPRETATIONS CALA
   Hupy J. P., 2008, Environment and History, V14, P405, DOI 10.3197/096734008X333581
   Jones S., 2010, UNDERGROUND WARFARE
   Kaika M, 2000, INT J URBAN REGIONAL, V24, P120, DOI 10.1111/1468-2427.00239
   Kaika M., 2005, CITY FLOWS
   Kramer Alan., 2007, Dynamic of Destruction: Culture and Mass Killing in the First World War
   Lacoste Y., 1976, La Geographie ca sert d'abord a faire la guerre
   Lacoste Yves., 1973, ANTIPODE, V5, P1
   Le Billon P, 2001, POLIT GEOGR, V20, P561, DOI 10.1016/S0962-6298(01)00015-4
   Loftus A, 2012, EVERYDAY ENV
   Macias Jose Maria, 2000, Historia del abastecimiento y usos del agua en la Villa de Madrid
   March H, 2015, EUR URBAN REG STUD, V22, P350, DOI 10.1177/0969776412474665
   McNeill J.R., 2010, ENV HIST COLD WAR
   McNeill JR, 2004, ENVIRON HIST, V9, P388, DOI 10.2307/3985766
   Monstadt J, 2009, ENVIRON PLANN A, V41, P1924, DOI 10.1068/a4145
   Pearson C, 2008, SCARRED LANDSCAPES: WAR AND NATURE IN VICHY FRANCE, P1, DOI 10.1057/9780230228733
   Pelling M., 2003, VULNERABILITY CITIES
   Pelling M, 2010, PROG HUM GEOG, V34, P21, DOI 10.1177/0309132509105004
   Preston Paul., 2006, The Spanish Civil War: Reaction, Revolution and Revenge
   Proctor RaymondL., 1983, Hitler's Luftwaffe in the Spanish Civil War
   Rodrigo Javier, 2009, Ayer, V76, P13
   Swyngedouw Eric., 2004, Social Power and the Urbanization of Water: Flows of Power
   Taylor Frederick., 2004, DRESDEN TUESDAY FEBR
   Tucker RichardP., 2004, NATURAL ENEMY NATURA
   Vazquez Matilde, 1978, La guerra civil en Madrid
NR 91
TC 9
Z9 9
U1 1
U2 21
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0066-4812
EI 1467-8330
J9 ANTIPODE
JI Antipode
PD MAR
PY 2015
VL 47
IS 2
BP 360
EP 379
DI 10.1111/anti.12111
PG 20
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA CB1QC
UT WOS:000349401700005
DA 2025-04-22
ER

PT J
AU Zhang, DZ
   Dong, X
   Zeng, SY
AF Zhang, Dazhen
   Dong, Xin
   Zeng, Siyu
TI Exploring the structural factors of resilience in urban drainage
   systems: a large-scale stochastic computational experiment
SO WATER RESEARCH
LA English
DT Article
DE combined sewer system; resilience; system structure; stochastic
   generation; combined sewer overflow
ID FLOOD RESILIENCE; NETWORK THEORY; WATER; FRAMEWORK; PERFORMANCE;
   STRATEGIES; ALGORITHM
AB The focus of infrastructure design and management has turned from a reliability-based approach to a resilience-based one. Resilience is a system's ability to maintain its function and minimize failure consequences when faced with exceptional conditions. This study carries out a large-scale computational experiment to study how resilience is affected by system's structure in a combined sewer system. We build a stochastic generation model, involving a random sampling of facility locations and a graph-based random walk sampling algorithm to generate various layouts of pipelines. The performance of these virtual systems are assessed in the Storm Water Management Model. We apply statistical techniques on these samples to study the relation between resilience and system structure. Results show that the number of combined sewer overflow (CSO) outfalls is a more important factor of resilience compared to the number of wastewater treatment plants (WWTPs). Some locations are found more preferable for WWTP or CSO outfall placement, while adding WWTPs or outfalls at other locations might even lower the system's resilience. Size of the sub-catchments of the CSO outfalls also affects resilience. Although this effect is statistically significant, the extent is not remarkable compared to other factors. We further study the structural features of the cost-effective systems. The highest achievable resilience level increases as the number of CSO outfalls decreases and so does system's cost. This results from the difference in CSO quantity, therefore this dilemma can be cut offby end-of-pipe storage or treatment which specifically tackles CSO. The conclusion of this study provides an insight into the structural factors of combined sewer systems' resilience and can provide guidance for system's planning. (C) 2020 Elsevier Ltd. All rights reserved.
C1 [Zhang, Dazhen; Dong, Xin; Zeng, Siyu] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.
   [Dong, Xin; Zeng, Siyu] Tsinghua Univ, Sch Environm, Environm Simulat & Pollut Control State Key Joint, Beijing 100084, Peoples R China.
C3 Tsinghua University; Tsinghua University
RP Dong, X (corresponding author), Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.; Dong, X (corresponding author), Tsinghua Univ, Sch Environm, Environm Simulat & Pollut Control State Key Joint, Beijing 100084, Peoples R China.
EM dongxin@tsinghua.edu.cn
RI Dong, Xin/IZQ-2213-2023
OI Zhang, Dazhen/0000-0002-1550-6413
FU National Key Research and Development Program of China [2016YFC0401401]
FX This work was supported by the National Key Research and Development
   Program of China (2016YFC0401401).
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Bajpai P, 2018, IEEE T SMART GRID, V9, P2918, DOI 10.1109/TSG.2016.2623818
   Behzadian K, 2014, PROCEDIA ENGINEER, V89, P719, DOI 10.1016/j.proeng.2014.11.499
   Birgani YT, 2016, P I CIVIL ENG-WAT M, V169, P3, DOI 10.1680/wama.14.00043
   BRODER A, 1989, ANN IEEE SYMP FOUND, P442, DOI 10.1109/SFCS.1989.63516
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Cen G., 1998, Advances in Water Science, V9, P41, DOI [DOI 10.14042/J.CNKI.32.1309.1998.01.007, 10.14042/j.cnki.32.1309.1998.01.00]
   Çetinkaya EK, 2015, TELECOMMUN SYST, V60, P515, DOI 10.1007/s11235-015-9991-y
   Chanda S, 2016, IEEE T SMART GRID, V7, P2859, DOI 10.1109/TSG.2016.2561303
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Dong Y., 2008, MUNICIPAL ENG TECHNO, V26, P407
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Johannessen A, 2014, INT J DISAST RISK RE, V10, P102, DOI 10.1016/j.ijdrr.2014.07.002
   Karamouz M, 2016, J HYDROINFORM, V18, P990, DOI 10.2166/hydro.2016.084
   Kiefer C.J., 1957, J HYDRAUL DIV, V83, P1, DOI [10.1061/JYCEAJ.0000104, DOI 10.1061/JYCEAJ.0000104]
   KOU L, 1981, ACTA INFORM, V15, P141, DOI 10.1007/BF00288961
   Liu Jie, 2010, ENV ENG J, V4, P2522
   Mair M, 2017, WATER-SUI, V9, DOI 10.3390/w9020146
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Möderl M, 2012, WATER SCI TECHNOL, V66, P1052, DOI 10.2166/wst.2012.280
   Möderl M, 2009, WATER SCI TECHNOL, V59, P1137, DOI 10.2166/wst.2009.097
   Mohammadiun S, 2018, URBAN WATER J, V15, P167, DOI 10.1080/1573062X.2018.1424218
   Mugume SN, 2017, P I CIVIL ENG-WAT M, V170, P115, DOI 10.1680/jwama.15.00078
   Mugume SN, 2015, WATER SCI TECH-W SUP, V15, P1343, DOI 10.2166/ws.2015.098
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nie LM, 2016, P I CIVIL ENG-WAT M, V169, P85, DOI 10.1680/wama.14.00079
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Rossman L. A., 2010, Storm water management model User's Manual Version 5.0
   Soldi D, 2015, PROCEDIA ENGINEER, V119, P1259, DOI 10.1016/j.proeng.2015.08.990
   U.S. NIAC (National Infrastructure Advisory Council), 2016, WAT SECT RES FIN REP
   U.S. NIAC (National Infrastructure Advisory Council), 2010, FRAMEWORK ESTABLISHI
   Urich C, 2010, WATER SCI TECHNOL, V62, P1090, DOI 10.2166/wst.2010.364
   Yazdani A, 2011, ENVIRON MODELL SOFTW, V26, P1574, DOI 10.1016/j.envsoft.2011.07.016
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P721, DOI 10.1007/s11269-017-1835-y
   Zhang QZ, 2020, WATER RES, V172, DOI 10.1016/j.watres.2020.115527
   Zhang QZ, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001164
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zheng FF, 2015, WATER RESOUR RES, V51, P7744, DOI 10.1002/2015WR016893
NR 42
TC 20
Z9 22
U1 12
U2 140
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0043-1354
EI 1879-2448
J9 WATER RES
JI Water Res.
PD JAN 1
PY 2021
VL 188
AR 116475
DI 10.1016/j.watres.2020.116475
PG 9
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA PG0FZ
UT WOS:000599421400009
PM 33039833
DA 2025-04-22
ER

PT J
AU Feingold, D
   Koop, S
   van Leeuwen, K
AF Feingold, Daniel
   Koop, Stef
   van Leeuwen, Kees
TI The City Blueprint Approach: Urban Water Management and Governance in
   Cities in the U.S
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE City Blueprint; Water management; Capacity building; Water scarcity;
   Adaptive governance; Infrastructure deficit
ID CLIMATE-CHANGE; SUSTAINABILITY; CHALLENGES; RESOURCES; WASTE
AB In this paper, we assess the challenges of water, waste and climate change in six cities across the U.S.: New York City, Boston, Milwaukee, Phoenix, Portland and Los Angeles. We apply the City Blueprint (R) Approach which consists of three indicator assessments: (1) the Trends and Pressures Framework (TPF), (2) the City Blueprint Framework (CBF) and (3) the water Governance Capacity Framework (GCF). The TPF summarizes the main social, environmental and financial pressures that may impede water management. The CBF provides an integrated overview of the management performances within the urban watercycle. Finally, the GCF provides a framework to identify key barriers and opportunities to develop governance capacity. The GCF has only been applied in NYC. Results show that all cities face pressures from heat risk. The management performances regarding resource efficiency and resource recovery from wastewater and solid waste show considerable room for improvement. Moreover, stormwater separation, infrastructure maintenance and green space require improvement in order to achieve a resilient urban watercycle. Finally, in New York City, the GCF results show that learning through smart monitoring, evaluation and cross-stakeholder learning is a limiting condition that needs to be addressed. We conclude that the City Blueprint Approach has large potential to assist cities in their strategic planning and exchange of knowledge, experiences and lessons. Because the methodology is well-structured, easy to understand, and concise, it may bridge the gap between science, policy and practice. It could therefore enable other cities to address their challenges of water, waste and climate change.
C1 [Feingold, Daniel; Koop, Stef; van Leeuwen, Kees] Univ Utrecht, Copernicus Inst Sustainable Dev & Innovat, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
   [Koop, Stef; van Leeuwen, Kees] KWR Watercycle Res Inst, Groningenhaven 7, NL-3433 PE Nieuwegein, Netherlands.
C3 Utrecht University; KWR Watercycle Research Institute
RP van Leeuwen, K (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev & Innovat, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.; van Leeuwen, K (corresponding author), KWR Watercycle Res Inst, Groningenhaven 7, NL-3433 PE Nieuwegein, Netherlands.
EM Kees.van.Leeuwen@kwrwater.nl
RI Koop, Steven/J-8116-2019; van Leeuwen, Kees/S-5815-2016
OI Koop, Steven/0000-0001-9906-3746; van Leeuwen, Kees/0000-0003-1605-4268
FU European Commission [687809]
FX We would like to thank Dr. Alan Cohn, Climate Program Director NYC
   Department of Environmental Protection for all his help to contact
   colleagues for the interviews and his feedback on our City Blueprint
   assessment of NYC. We also thank Dr. Gary Pivo of the University of
   Arizona and the Urban Water Innovation Network (UWIN) for their support
   and for providing us with the appropriate contacts for this research. We
   thank Johan Oost (Wetskills) and a group of enthusiastic students for
   their help to do the assessment of Boston and for establishing the
   contacts with Milwaukee. Last but not least, we would like to thank all
   people involved in the NYC water governance interviews who provided us
   with invaluable information. The City Blueprint Approach has been
   developed at KWR Watercycle Research Institute in the context of
   Watershare (R) (http://www.watershare.eu). The City Blueprint Action
   Group is part of the European Innovation Partnership on Water of the
   European Commission (http://www.eip-water.eu/City_Blueprints). The
   European Commission is acknowledged for Funding POWER in H2020-Water
   Under Grant Agreement No. 687809.
CR Aartsen M, 2017, 20171 KWRCMG
   AghaKouchak A, 2015, NATURE, V524, P409, DOI 10.1038/524409a
   [Anonymous], 2015, OECD Principles on Water Governance, P24
   [Anonymous], 2015, PROJECTIONS SIZE COM
   [Anonymous], 2017, ATL SUST DEV GOALS 2
   [Anonymous], 2015025 KWR
   [Anonymous], 2006, HUMAN DEV REPORT 200
   [Anonymous], 2016, FAIL ACT CLOS INFR I
   [Anonymous], 2013, A Report of The Working Group on Cities of The International Resource Panel
   [Anonymous], 2013, UNDP guidance on assessing water governance
   [Anonymous], 2012, GROWTH URB POP OUTP
   Arguez A., 2010, NOAA NATL CENT ENV I
   Augustin B., 2012, CARBON SEQUESTRATION, P355
   Backstrand K., 2003, GLOBAL ENVIRON POLIT, V3, P24, DOI [10.1162/152638003322757916, DOI 10.1162/152638003322757916]
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Bingham LB, 2005, PUBLIC ADMIN REV, V65, P547, DOI 10.1111/j.1540-6210.2005.00482.x
   Cohen D.T., 2015, POPULATION TRENDS IN
   Cohn A, 2016, NEW YORK CITYS GREEN
   de Graaf IEM, 2015, HYDROL EARTH SYST SC, V19, P823, DOI 10.5194/hess-19-823-2015
   EIP Water, 2017, EUR INN PARTN WAT IN
   EIP Water, 2017, EUR INN PARTN WAT
   EPA, 2016, CLIM IMP WAT RES
   Eskaf S., 2015, Four Trends in Government Spending on Water Wastewater
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Gawlik B.M., 2017, URBAN WATER ATLAS EU, DOI [10.1016/j.scitotenv.2019.03.288, DOI 10.1016/J.SCITOTENV.2019.03.288]
   Goldstein W., 2014, ONE CITY REBUILDING
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hausmann R., 2014, ATLAS EC COMPLEXITY
   Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688
   Konikow LeonardF., 2013, U.S. Geological Survey Scientific Investigations Report 2013-5079
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Koop SHA, 2017, ENVIRON DEV SUSTAIN, V19, P385, DOI 10.1007/s10668-016-9760-4
   Koop SHA, 2015, WATER RESOUR MANAG, V29, P5649, DOI 10.1007/s11269-015-1139-z
   Koop SHA, 2015, WATER RESOUR MANAG, V29, P4629, DOI 10.1007/s11269-015-1079-7
   Krause RM, 2011, J URBAN AFF, V33, P45, DOI 10.1111/j.1467-9906.2010.00510.x
   Leonardsen L, 2017, 21 URB REG POL GMF
   Lockwood M, 2010, SOC NATUR RESOUR, V23, P986, DOI 10.1080/08941920802178214
   Lyon WA, 2009, WATER GOVERNANCE UNI
   Mehan G T, 2002, EPA816R02020
   Melillo JM., 2014, CLIMATE CHANGE IMPAC, V841
   Naser M. M., 2021, Global report on human settlements: Cities and climate change
   OECD, 2015, ENV GLANC 2015
   OECD, 2016, WAT GOV CIT
   OECD, 2015, Water and Cities: Ensuring Sustainable Futures, DOI [DOI 10.2166/9781780407609, 10.2166/9781780407609]
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pincetl S, 2016, ENVIRON MANAGE, V58, P208, DOI 10.1007/s00267-016-0707-1
   Ridder D., 2005, LEARNING TOGETHER MA
   Romolini M, 2016, ENVIRON MANAGE, V58, P254, DOI 10.1007/s00267-016-0704-4
   Schreurs E, 2017, ENV DEV SUST
   Stoker G, 1998, INT SOC SCI J, V50, P17, DOI 10.1111/1468-2451.00106
   Sweet WV, 2014, EARTHS FUTURE, V2, P579, DOI 10.1002/2014EF000272
   UN Water and Global Water Partnership, 2007, ROAD MAPP ADV INT WA
   UN-Habitat, 2011, EC ROL CIT
   van Kersbergen K, 2004, EUR J POLIT RES, V43, P143
   van Leeuwen CJ, 2013, WATER RESOUR MANAG, V27, P5191, DOI 10.1007/s11269-013-0462-5
   van Leeuwen CJ, 2012, WATER RESOUR MANAG, V26, P2177, DOI 10.1007/s11269-012-0009-1
   Vaux Jr H, 2015, URBAN WATER CHALLENG, P506
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wada Y, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010562
   Wahl T, 2015, NAT CLIM CHANGE, V5, P1093, DOI [10.1038/nclimate2736, 10.1038/NCLIMATE2736]
NR 60
TC 45
Z9 49
U1 7
U2 61
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD JAN
PY 2018
VL 61
IS 1
BP 9
EP 23
DI 10.1007/s00267-017-0952-y
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FS6FI
UT WOS:000419892900002
PM 29101426
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Roberts, A
   Matos, M
AF Roberts, Andrea
   Matos, Melina
TI Adaptive liminality: Bridging and bonding social capital between urban
   and rural Black meccas
SO JOURNAL OF URBAN AFFAIRS
LA English
DT Article
ID COMMUNITY RESILIENCE; TEMPORALITY; ESSAY
AB African Americans' memories of the Great Migration and urban displacement surface in popular film and culture as a desire to return to rural homeplaces while retaining access to opportunity in urban meccas. The author argues that real examples of this "limbo imaginary" are relevant to research on Black meccas. Findings from the author's ethnographic study of rural Freedom Colonies (settlements Black Texans founded 1865-1920) showed that, for African Americans, embodying urban-rural liminality is an existential space of opportunity and ingenuity. Urban baby boomers in the study call Houston and rural Black meccas (Freedom Colonies) home, holding dual senses of belonging and commitments to place preservation. These baby boomers performed liminality during homecoming celebrations where they commemorated ancestors and reconnected descendants' ties to settlements severed during the Great Migration. The article recommends that researchers and urban planners help communities identify liminal spaces appropriate for catalyzing inter-generational bridging and bonding of urban-rural social capital to preserve endangered communities of color.
C1 [Roberts, Andrea] Texas A&M Univ, Urban Planning, College Stn, TX USA.
   [Matos, Melina] Texas A&M Univ, Urban & Reg Sci, College Stn, TX USA.
C3 Texas A&M University System; Texas A&M University College Station; Texas
   A&M University System; Texas A&M University College Station
RP Roberts, A (corresponding author), Texas A&M Univ, 3137 TAMU, College Stn, TX 77843 USA.
EM aroberts318@tamu.edu
RI Matos, Melina/M-8617-2018; ROBERTS, ANDREA/U-3097-2017
OI Matos, Melina/0000-0001-5067-3412; ROBERTS, ANDREA/0000-0001-9979-6026
CR Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], V TURNER REVISITED R
   [Anonymous], 2018, HARLEM RENAISSANCE P
   [Anonymous], HIST CENS BROWS
   Appler D, 2016, J AM PLANN ASSOC, V82, P92, DOI 10.1080/01944363.2015.1123640
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Berlin Ira., 2010, The Making of African America: The Four Great Migrations
   Besser TL, 2009, J RURAL STUD, V25, P185, DOI 10.1016/j.jrurstud.2008.10.005
   Bullard R.D., 2007, The black metropolis in the twenty-first century
   Burnim M., 2012, AFRICAN AM LECTIONAR, DOI [10.1094/PDIS-11-11-0999-PDN, DOI 10.1094/PDIS-11-11-0999-PDN]
   BUTLER J, 1988, THEATRE J, V40, P519, DOI 10.2307/3207893
   Butler J., 1990, Gender Trouble: Feminism and the Subversion of Identity, DOI DOI 10.4324/9780203824979
   Butler Judith., 2010, Journal of Cultural Economy, V3, DOI [DOI 10.1080/17530350.2010.494117, 10.1080/17530350.2010.494117]
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Campbell J. T., 2006, MIDDLE PASSAGES AFRI, P1787
   Christou Anastasia., 2011, Emotion, Space and Society, V4, P249, DOI [10.1016/j.emospa.2011.06.007, DOI 10.1016/J.EMOSPA.2011.06.007, https://doi.org/10.1016/j.emospa.2011.06.007]
   Claridge T., 2018, Functions of Social Capital -bonding, bridging, linking
   Connerton Paul., 1989, SOC REMEMBER
   Conquergood D, 2002, TDR-DRAMA REV-J PERF, V46, P145, DOI 10.1162/105420402320980550
   Courtheyn C, 2016, SOC CULT GEOGR, V17, P933, DOI 10.1080/14649365.2016.1139172
   Dahal G.R., 2008, Bridging, Linking, and Bonding Social Capital in Collective Action: The Case of Kalahan Forest Reserve in the Philippines
   De Jong F, 2012, J AFR HIST, V53, P265, DOI 10.1017/S0021853712000291
   Deaton BJ, 2009, ECOL ECON, V68, P2344, DOI 10.1016/j.ecolecon.2009.03.009
   Deleuze G., 1988, 1000 PLATEAUS CAPITA
   Ebron Paulla., 2002, Performing Africa
   Falola Toyin., 2013, Pan-Africanism and the Politics of African Citizenship and Identity
   Foster M.K., 2003, ROLE SOCIAL CAPITAL
   Foster M.S., 1999, J NEGRO HIST, V84, P130
   Franklin M, 2004, HIST ARCHAEOL, V38, P1
   Fullilove M.T., 2009, Root shock: How tearing up city neighborhoods hurts America, and what we can do about it
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Goldstein BE, 2015, URBAN STUD, V52, P1285, DOI 10.1177/0042098013505653
   Gouthro PA, 2005, INT J LIFELONG EDUC, V24, P5, DOI 10.1080/026037042000317310
   Grams DM, 2013, J URBAN AFF, V35, P501, DOI 10.1111/juaf.12026
   Graves E. G., 2016, BLACK ENTERPRISE
   GREEN JR, 1973, PAST PRESENT, P161
   Harrison JL, 2016, SOC NATUR RESOUR, V29, P525, DOI 10.1080/08941920.2015.1103389
   Hobson MauriceJ., 2017, The Legend of the Black Mecca: Politics and Class in the Making of Modern Atlanta
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   hooks B., 1990, YEARNING RACE GENDER
   Hunter MA, 2016, THEOR CULT SOC, V33, P31, DOI 10.1177/0263276416635259
   Hunter MarcusAnthony., 2018, CHOCOLATE CITIES BLA
   Jackson D., 2009, USATODAY        1028
   Joeckel J., 2001, NATL REGISTER HIST P
   Johnson Kimberley, 2014, THE CITIES PAPERS
   Jones B. G., 2014, PROTECTING HIST ARCH
   Kaufman N., 2010, PLACE RACE STORY ESS
   Kirk CM, 2018, J INTEGRAL EQU APPL, V30, P1, DOI 10.1216/JIE-2018-30-1-1
   Langellier KristinM., 2006, SAGE HDB PERFORMANCE, P151, DOI DOI 10.4135/9781412976145.N9
   Leite Naomi., 2005, ANTROPOLOGICAS, V9, P273
   Lipsitz George., 2007, Landscape Journal, V26, P1
   Madison D.S., 2003, Turning points in qualitative research: Tying knots in a handkerchief, V3, P469
   Madison D. S., 2011, Critical Ethnography: Method, Ethics, and Performance
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Mair J., 2017, FESTIVAL ENCOUNTERS
   Mason R., 2004, PLACES, V16, P71
   McCutcheon P, 2015, SOC CULT GEOGR, V16, P385, DOI 10.1080/14649365.2014.991749
   McDavid C., 2012, AFRICAN AM ARCHAEOLO, DOI [10.1094/PDIS-11-11-0999-PDN, DOI 10.1094/PDIS-11-11-0999-PDN]
   McKoy SS, 1999, CALLALOO, V22, P208, DOI 10.1353/cal.1999.0055
   McReynolds J. M., 1968, THESIS
   Mensah I, 2015, J HERIT TOUR, V10, P213, DOI 10.1080/1743873X.2014.990974
   Misener L., 2006, Managing Leisure, V11, P39, DOI 10.1080/13606710500445676
   Mitchell Don., 2000, Cultural Geography: A Critical Introduction
   Mitchell T. W., 2000, NORTHWEST U LAW REV, V95, P505
   Mitchell ThomasW., 2005, WISC LAW REV, P557
   Myerhoff B., 1986, JUDAISM VIEWED, P143
   National Park Service, 2017, NAT REG HIST PLAC DI
   Odom Family Trust, 2012, SHANKL OD HOUS SBR N, DOI [10.1094/PDIS-11-11-0999-PDN, DOI 10.1094/PDIS-11-11-0999-PDN]
   Opie FrederickDouglass., 2008, Hog and Hominy: Soul Food from Africa to America
   Osborne C, 2016, URBAN POLICY RES, V34, P212, DOI 10.1080/08111146.2015.1062361
   Pruitt Bernadette., 2013, OTHER GREAT MIGRATIO
   Putnam R. D., 1995, Bowling Alone: America's Declining Social Capital, V6, DOI 10.1353/jod.1995.0002
   Rankin KN, 2010, PLAN THEOR, V9, P181, DOI 10.1177/1473095209357870
   Reading Mecca B., 2017, BLACK MECCA
   Relph ET., 1976, PLACE PLACELESSNESS
   Richardson B.K., 2014, International Journal of Mass Emergencies and Disasters, V32, P194, DOI DOI 10.1177/028072701403200108
   Rivers F. R., 2007, INEQUITY EQUITY TRAG, DOI [10.1094/PDIS-91-4-0467B, DOI 10.1094/PDIS-91-4-0467B]
   Roberts A., 2017, PLATFORM CONVERGENT, P10
   Roberts A., 2019, CURRENT RES DIGITAL, V2, DOI [10.31835/crdh, DOI 10.31835/CRDH]
   Rose G., 1995, EC SOCIOLOGY IMMIGRA, P87
   Ross D., 1996, JUNETEENTH TEXAS ESS
   Rowe G., 2004, COMMUNICATION
   Roy A, 2019, ANTIPODE BOOK SER, P227
   Sandercock Leonie., 2003, Planning Theory and Practice, V4, P1, DOI [DOI 10.1080/1464935032000057209, 10.1080/1464935032000057209]
   Sanders CherylJ., 1999, Saints in Exile The Holiness-Pentecostal Experience in African American Religion and Culture
   Scannell L, 2010, J ENVIRON PSYCHOL, V30, P1, DOI 10.1016/j.jenvp.2009.09.006
   Schafft KaiA., 2003, Social Epistemology, V17, P329, DOI DOI 10.1080/0269172032000151795
   Singer M. B., 1959, TRADITIONAL INDIA ST, V10
   Sitton ThadJames H. Conrad., 2005, FREEDOM COLONIES IND
   Smith L., 2006, The Uses of Heritage, DOI DOI 10.4324/9780203602263
   SMITH SJ, 1994, AREA, V26, P232
   Temple-Raston Dina., 2002, A Death in Texas: A Story of Race, Murder, and a Small Town's Struggle for Redemption
   Texas State Board of Education, 1937, REP RES TEX STAT SCH
   Texas State Historical Association, 2015, 20150522T000000Z TEX
   Tuck E., 2014, Departures in Critical Qualitative Research, V3, P52, DOI DOI 10.1525/DCQR.2014.3.1.52
   Turner E, 2012, CONTEMP ANTHR RELIG, P1, DOI 10.1057/9781137016423
   TURNER V, 1982, HARVARD THEOL REV, V75, P243, DOI 10.1017/S0017816000018332
   Victor Turner., 1969, RITUAL PROCESS STRUC
   Waegner C. C., 2003, CRITICAL VOICINGS BL, P11
   Waldrop R. H., 1942, ADM SURVEY REORGANIZ
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wilkerson Isabel., 2010, WARMTH OTHER SUNS EP
   Woods C., 1995, PLANNING THEORY, V13, P79
   Zebrowski C, 2017, RESILIENCE-ABINGDON, V5, P44, DOI 10.1080/21693293.2016.1228158
NR 104
TC 9
Z9 9
U1 1
U2 8
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0735-2166
EI 1467-9906
J9 J URBAN AFF
JI J. Urban Aff.
PD JUL 3
PY 2022
VL 44
IS 6
SI SI
BP 822
EP 843
DI 10.1080/07352166.2020.1722030
EA MAR 2020
PG 22
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 3C0ZS
UT WOS:000524604700001
DA 2025-04-22
ER

PT J
AU Dong, L
   Zhu, XW
   Yang, LW
   Jiang, GL
AF Dong, Li
   Zhu, Xiaowei
   Yang, Luwei
   Jiang, Guoliang
TI Unleashing the power of data element markets: Driving urban green growth
   through marketization, innovation, and digital finance
SO INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
LA English
DT Article
DE Data element markets; Urban sustainability; Marketization; Green
   innovation; Digital inclusive finance
ID TOTAL FACTOR PRODUCTIVITY; ECONOMY
AB Achieving sustainable urban growth is vital for fostering cities where economic progress and ecological balance coexist. The rapid evolution of the digital economy presents new opportunities to accelerate urban green development. This study, drawing on China's extensive big data framework, applies a Differences-in-Differences model to explore how the construction of data element markets influences urban sustainability and the mechanisms underlying this relationship. The findings indicate that data element market development significantly enhances urban green growth through three key mediators: improving marketization levels, driving green technological innovation, and expanding digital inclusive finance. Additionally, the study highlights that regions with stronger green development initiatives, lower environmental pressures, and higher economic prosperity experience a more pronounced positive effect. These insights provide a foundation for policy recommendations aimed at leveraging data element markets to facilitate urban sustainability, promote economic resilience, and foster long-term ecological progress.
C1 [Dong, Li] Changchun Normal Univ, Sch Econ & Management, Changchun 130032, Peoples R China.
   [Zhu, Xiaowei] Shandong Normal Univ, Sch Marxism, Jinan 250014, Peoples R China.
   [Yang, Luwei] Jilin Univ, Sch Marxism, Changchun 130012, Peoples R China.
   [Jiang, Guoliang] Jilin Univ, Sch Econ, Changchun 130012, Peoples R China.
C3 Changchun Normal University; Shandong Normal University; Jilin
   University; Jilin University
RP Yang, LW (corresponding author), Jilin Univ, Sch Marxism, Changchun 130012, Peoples R China.
EM dl.1222@163.com; 15753674656@163.com; yanglw19@163.com;
   jiangguoliang1997@163.com
RI Zhu, Xiaowei/MIQ-8737-2025
FU Jilin Social Science Fund Project "Research on Market-oriented
   Allocation of Data Elements in Jilin Province from the Perspective of
   New Quality Productivity Development" [2024C10]; Jilin Social Science
   Fund Project "Research on the Cultivation Path of New Quality
   Productivity in Jilin Province" [2024C33]
FX This manuscript is supported by the Jilin Social Science Fund Project
   "Research on Market-oriented Allocation of Data Elements in Jilin
   Province from the Perspective of New Quality Productivity Development"
   (2024C10) and the Jilin Social Science Fund Project "Research on the
   Cultivation Path of New Quality Productivity in Jilin Province"
   (2024C33) .
CR Appio FP, 2019, TECHNOL FORECAST SOC, V142, P1, DOI 10.1016/j.techfore.2018.12.018
   Chen W, 2024, BUS STRATEG ENVIRON, V33, P3832, DOI 10.1002/bse.3672
   Dabbous A, 2021, J INNOV KNOWL, V6, P58, DOI 10.1016/j.jik.2020.11.001
   Dai JP, 2025, INT REV FINANC ANAL, V98, DOI 10.1016/j.irfa.2025.103923
   Dian J, 2024, ENERG ECON, V129, DOI 10.1016/j.eneco.2023.107223
   Dubey R, 2019, TECHNOL FORECAST SOC, V144, P534, DOI 10.1016/j.techfore.2017.06.020
   Guo BN, 2023, ECON MODEL, V120, DOI 10.1016/j.econmod.2023.106194
   Ha L, 2022, SUSTAIN PROD CONSUMP, V32, P230, DOI 10.1016/j.spc.2022.04.002
   Hao J, 2023, INT REV FINANC ANAL, V90, DOI 10.1016/j.irfa.2023.102839
   Hu L, 2024, J FAM ECON ISS, DOI 10.1007/s10834-024-09992-6
   Jiang HY, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.140867
   Li MJ, 2024, ECON CHANG RESTRUCT, V57, DOI 10.1007/s10644-024-09626-9
   Li P, 2022, E M EKON MANAG, V25, P40, DOI 10.15240/tul/001/2022-4-003
   Lin Y, 2024, EMERG MARK FINANC TR, V60, P704, DOI 10.1080/1540496X.2023.2258260
   Liu L, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141711078
   Liu Y, 2023, ECON ANAL POLICY, V80, P143, DOI 10.1016/j.eap.2023.08.005
   Liu ZD, 2024, APPL ECON, V56, P7686, DOI 10.1080/00036846.2023.2288048
   Lu XM, 2024, J INT FINANC MARK I, V91, DOI 10.1016/j.intfin.2024.101935
   Luo SY, 2023, BUS STRATEG ENVIRON, V32, P1847, DOI 10.1002/bse.3223
   Luo WH, 2023, J KNOWL ECON, DOI 10.1007/s13132-023-01532-1
   Lyu Y, 2024, STRUCT CHANGE ECON D, V69, P183, DOI 10.1016/j.strueco.2023.12.009
   Ma D, 2022, J BUS RES, V145, P801, DOI 10.1016/j.jbusres.2022.03.041
   Ma RY, 2023, HUM SOC SCI COMMUN, V10, DOI 10.1057/s41599-023-01839-z
   Mickwitz P, 2011, J CLEAN PROD, V19, P1779, DOI 10.1016/j.jclepro.2011.07.011
   Ran QY, 2023, RESOUR POLICY, V81, DOI 10.1016/j.resourpol.2023.103396
   Scheider S, 2023, ELECTRON MARK, V33, DOI 10.1007/s12525-023-00646-3
   Si HC, 2024, ENERG ENVIRON-UK, V35, P2636, DOI 10.1177/0958305X231155494
   Sileryte R, 2022, J CLEAN PROD, V358, DOI 10.1016/j.jclepro.2022.131767
   Sun GL, 2024, TECHNOL FORECAST SOC, V200, DOI 10.1016/j.techfore.2023.123097
   Tao CQ, 2023, ECON ANAL POLICY, V77, P1, DOI 10.1016/j.eap.2022.10.014
   Wang H., 2024, Frontiers in Environmental Science, V12
   Wang Q, 2023, RES INT BUS FINANC, V66, DOI 10.1016/j.ribaf.2023.102024
   Wang XQ, 2023, ENERG ECON, V127, DOI 10.1016/j.eneco.2023.107065
   Wang ZY, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2023.100339
   Wang ZH, 2024, APPL ECON, V56, P6803, DOI 10.1080/00036846.2023.2276087
   Yu HY, 2022, RESOUR POLICY, V79, DOI 10.1016/j.resourpol.2022.103116
   Yue PP, 2022, FINANC RES LETT, V47, DOI 10.1016/j.frl.2021.102604
   Zhang YX, 2024, ASIA-PAC J ACCOUNT E, DOI 10.1080/16081625.2024.2425433
   Zhao Y, 2022, J ENTERP INF MANAG, V35, P1202, DOI 10.1108/JEIM-01-2021-0050
   Zheng ZY, 2024, INT ENTREP MANAG J, V20, P479, DOI 10.1007/s11365-023-00854-5
   Zhou LJ, 2023, FINANC RES LETT, V58, DOI 10.1016/j.frl.2023.104489
NR 41
TC 0
Z9 0
U1 5
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1059-0560
EI 1873-8036
J9 INT REV ECON FINANC
JI Int. Rev. Econ. Financ.
PD APR
PY 2025
VL 99
AR 104070
DI 10.1016/j.iref.2025.104070
EA APR 2025
PG 17
WC Business, Finance; Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA 0SV3O
UT WOS:001455192500001
OA hybrid
DA 2025-04-22
ER

PT J
AU Pastor, R
   Fraga, A
   Larrañeta, JJ
AF Pastor, Raul
   Fraga, Anabel
   Larraneta, Jose Javier
TI i-ISSUES-Industrial-Interoperable Safe and Secure Urban Energy Systems
SO APPLIED SCIENCES-BASEL
LA English
DT Review
DE interoperability; urban energy planning; city resilience; systems
   engineering; i-ISSUES
ID METHODOLOGY
AB Urban planners are involved in designing future urban energy systems as a part of their path toward decarbonization or Net Zero targets before 2050. In this process, new energy and information flows between industrial and urban regions should be considered, as well as safety and security managerial aspects regarding the existing and new infrastructures. This research aims to help engineering professionals and public planners define new collaboration dynamics to make industrial energy systems safer, more secure, and interoperable, surpassing the existing knowledge. Firstly, several recent R&D aspects are analyzed, demonstrating the organizational gap and providing early integration or knowledge reuse opportunities from R&D projects. After that, the authors present a model called Industrial-Interoperable Safe and Secure Urban Energy Systems (i-ISSUES), a multi-disciplinary approach combining classic urban energy planning, information technology use, safety and security management, and systems engineering as the integrated disciplines. The model detects research trends, providing a first set of readings with some improvements.
C1 [Pastor, Raul] Seam Start Up, Madrid 28030, Spain.
   [Fraga, Anabel] Univ Carlos III Madrid, Dept Comp Sci & Engn, Madrid 28911, Spain.
   [Larraneta, Jose Javier] PESI Spanish Technol Platform Ind Safety, Minano Vitoria 01510, Spain.
C3 Universidad Carlos III de Madrid
RP Pastor, R (corresponding author), Seam Start Up, Madrid 28030, Spain.; Fraga, A (corresponding author), Univ Carlos III Madrid, Dept Comp Sci & Engn, Madrid 28911, Spain.
EM raulpastorgarcia@coiim.es; afraga@inf.uc3m.es;
   secretario-tecnico@pesi-seguridadindustrial.org
OI FRAGA, ANABEL/0000-0001-5837-920X
FU CARTIF energy planning researchers; COIIM (the Official College of
   Industrial Engineers of Madrid)
FX The authors would like to thank the REUSE Company for assisting us in
   the use of SES ENGINEERING Studio's RISK&ALERTS and KM-KNOWLEDGE Manager
   capabilities and the TECNALIA and CARTIF energy planning researchers for
   providing context on NetZeroCities. Also, COIIM (the Official College of
   Industrial Engineers of Madrid) will start validating i-ISSUES as a
   motivating model for further research and professional training.
CR Amini MH, 2020, PATTERNS, V1, DOI 10.1016/j.patter.2020.100003
   Andrés M, 2018, ENRGY PROCED, V149, P39, DOI 10.1016/j.egypro.2018.08.167
   Anthopoulos L, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103492
   Bennati S, 2018, SUSTAIN CITIES SOC, V39, P387, DOI 10.1016/j.scs.2018.02.013
   Consortia N, 2022, NetZeroCities
   ECom, Delivering the European Green Deal
   EIF4SCC, 2022, Shaping Europe's Digital Future
   ELRA, IMOLA III Project
   European Commission, 2022, Towards Smart Zero CO2 Cities across Europe
   European Commission, 2020, Perceptive Sentinel-BIG DATA Knowledge Extraction and Re-Creation Platform
   European Commission, 2019, Enhancing Emergency Management and Response to Extreme Weather and Climate Events
   European Commission, 2024, Net Zero Industry Act
   European Commission, 2023, Airborne Data Collection on Resilient System Architectures
   European Commission, New Energy Efficiency Directive Published
   European Commission, 2020, Integrated Tool for Empowering Public Authorities in the Development of Sustainable Plans for Low Carbon Heating and Cooling
   European Commission, 2024, Laying Down Measures for a High Level of Public Sector Interoperability across the Union (Interoperable Europe Act
   European Commission, 2023, Cyber Security Competence for Research and Innovation
   European Commission, 2024, Towards User Journeys for the Delivery of Cross-Border Services Ensuring Data Sovereignty
   European Commission, 2022, A Single Digital Market for Industrial Geospatial Data Assets
   European Commission, 2022, Quantification of Synergies between Energy Efficiency First Principle and Renewable Energy Systems
   European Commission, 2024, Urban Planning and Design Ready for 2030
   European Commission, 2024, Privacy-Preserving Services on the Internet
   European Commission, 2014, Enabling Access to Geological Information in Support of GMES
   European Commission, 2022, New Interoperable Europe Act to Deliver More Efficient Public Services through Improved Cooperation between National Administrations on Data Exchanges and IT Solutions
   European Commission Collaborative, 2024, Aerial Robotic Workers
   European Council European Parliament, 2023, European Council News13 December
   Fraga A, 2019, INFORM SYST FRONT, V21, P5, DOI 10.1007/s10796-018-9862-7
   Guarino N, 2015, APPL ONTOL, V10, P1, DOI 10.3233/AO-150143
   Horak D, 2021, ENERG POLICY, V158, DOI 10.1016/j.enpol.2021.112554
   Hui CX, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104985
   Koutra S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142315812
   Kuster C, 2020, ADV ENG SOFTW, V140, DOI 10.1016/j.advengsoft.2019.102731
   Larraneta J.J., 2022, Reflexiones Sobre Una Nueva Gobernanza y Gestion de Riesgos Para la Seguridad
   LGI, 2023, The Making-City Project
   Rodríguez-Hernández KL, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app122312267
   Moussa RR, 2020, J CLEAN PROD, V254, DOI 10.1016/j.jclepro.2019.119932
   Mysore M., 2023, McKinsey's Global Resilience Survey
   Naderi E, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104276
   Ntafalias A, 2022, SMART CITIES-BASEL, V5, P1421, DOI 10.3390/smartcities5040073
   Papastamatiou I, 2017, ENRGY PROCED, V111, P810, DOI 10.1016/j.egypro.2017.03.242
   Parliament E., 2019, Climate and Environmental Emergency, P2
   Parliament E., 2023, Ensuring the Recovery and Resilience of EU Small and Medium-Sized Enterprises
   Pastor R, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151813491
   Quagliarini E., 2021, Smart Innovation, Systems and Technologies, V203
   SCI, 2022, Smart Cities Initiative
   Shafiee Roudbari Erfan, 2023, Designs, DOI 10.3390/designs7030073
   Siriwardhana S, 2023, J CLEAN PROD, V425, DOI 10.1016/j.jclepro.2023.139011
   Thellufsen JZ, 2020, RENEW SUST ENERG REV, V129, DOI 10.1016/j.rser.2020.109922
   Ulpiani G, 2023, RENEW SUST ENERG REV, V183, DOI 10.1016/j.rser.2023.113448
   Ulpiani G, 2023, RENEW SUST ENERG REV, V183, DOI 10.1016/j.rser.2023.113444
   Vassileva I, 2017, APPL ENERG, V194, P808, DOI 10.1016/j.apenergy.2016.07.097
   Yamamura S, 2017, PROCEDIA ENGINEER, V180, P1462, DOI 10.1016/j.proeng.2017.04.309
   Yu H, 2023, ENERGIES, V16, DOI 10.3390/en16114264
NR 53
TC 1
Z9 1
U1 2
U2 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
J9 APPL SCI-BASEL
JI Appl. Sci.-Basel
PD APR
PY 2024
VL 14
IS 8
AR 3188
DI 10.3390/app14083188
PG 19
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA WY1S8
UT WOS:001258349100001
OA gold
DA 2025-04-22
ER

PT J
AU Doberstein, B
   Fitzgibbons, J
   Mitchell, C
AF Doberstein, Brent
   Fitzgibbons, Joanne
   Mitchell, Carrie
TI Protect, accommodate, retreat or avoid (PARA): Canadian community
   options for flood disaster risk reduction and flood resilience
SO NATURAL HAZARDS
LA English
DT Article
DE Resilience; Natural hazards; Disaster risk reduction; Climate change;
   Canada; Flooding
ID CLIMATE RESILIENCE; URBAN RESILIENCE; ADAPTATION; FRAMEWORK; POLITICS;
   JUSTICE; POLICY
AB This paper uses the "protect/accommodate/retreat/avoid" or "PARA" framework to categorize and examine flood disaster risk reduction approaches used to build climate change resilience in communities across Canada. We suggest that the PARA framework, first developed for climate change adaptation planning in communities facing sea level rise, is also a useful framework for flood risk reduction and flood resilience. The paper reviews four case studies of Canadian flood disaster risk reduction, with each case chosen to represent one of the four PARA risk reduction options. The extensive network of dikes and pumping stations employed in British Columbia's Lower Mainland (Fraser River) is used in the paper as an example of a "protect" approach to flood risk reduction; Winnipeg, Manitoba's Basement Flood Relief Program is used to highlight the "accommodate" approach; zoning changes and land expropriation following Toronto, Ontario's 1954 Hurricane Hazel flood disaster are used to showcase the "retreat" approach; and, modern floodplain development planning approaches in Calgary, Alberta are used to highlight the "avoid" approach. Overall, this paper contends that the PARA framework can be an effective approach for comprehensive flood disaster risk reduction and flood resilience; however, contextual factors, including equity considerations, should guide its application in situ.
C1 [Doberstein, Brent; Mitchell, Carrie] Univ Waterloo, Fac Environm, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
   [Fitzgibbons, Joanne; Mitchell, Carrie] Univ Waterloo, Fac Environm, Sch Planning, Waterloo, ON N2L 3G1, Canada.
C3 University of Waterloo; University of Waterloo
RP Doberstein, B (corresponding author), Univ Waterloo, Fac Environm, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
EM bdoberst@uwaterloo.ca
OI Fitzgibbons, Joanne/0000-0002-8926-7945; Doberstein,
   Brent/0000-0001-8891-7400
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alberta Council for Environmental Education (ACEE), 2017, CLIM CHANG ED OUTR W
   Alberta Municipal Affairs, 2014, DISC PAP DRAFT FLOOD
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   [Anonymous], 1954, GLOBE MAIL
   [Anonymous], 2015, A/CONF.224/CRP.1
   [Anonymous], APPLYING RESILIENCE
   [Anonymous], 2015, CBC News
   [Anonymous], 2017, CTV News
   [Anonymous], 2004, ECOL SOC
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   [Anonymous], 2018, CAN DIS DAT
   [Anonymous], 2017, CBC NEWS
   [Anonymous], ROAD FLOOD RES CAN
   [Anonymous], 2016, ECOL SOC, DOI DOI 10.5751/ES-08854-210452
   [Anonymous], 1998, STAT WAT REP ET MIM
   [Anonymous], 2014, Fifth assessment report
   Bahadur AV, 2013, CLIM DEV, V5, P55, DOI 10.1080/17565529.2012.762334
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Berbés-Blázquez M, 2017, CLIMATIC CHANGE, V141, P227, DOI 10.1007/s10584-017-1897-0
   Birkmann J, 2010, NAT HAZARDS, V55, P637, DOI 10.1007/s11069-008-9319-2
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Boulet C, 2013, BASEMENT FLOOD RISK
   British Columbia Government, 2018, DIKE MAN
   British Columbia Ministry of Environment, 2013, SEA LEV RIS AD PRIM
   British Columbia MoFLNRO (Ministry of Forests Lands and Natural Resource Operations), 2014, SIM EFF SEA LEV RIS
   Brownill S, 2007, TOWN PLAN REV, V78, P401, DOI 10.3828/tpr.78.4.2
   Carmin J., 2013, Urban Climate Adaptation and Leadership: From Conceptual Understanding to Practical Action
   City of Calgary, 1980, CITY CALGARY LAND US
   City of Calgary, 2007, LAND USE BYLAW IP200
   City of Calgary, 2014, CALGARYS FLOOD RESIL
   Cook B., 2001, Participation: A new tyranny?
   Cumming Cockburn Ltd, 2000, ICLR RES PAPER SERIE, V9
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dotto, 2010, ICLR RES PAPER SERIE, V48
   Dronkers J, 1990, STRATEGIES ADAPTATIO
   Eichhorst U, 2011, RESILIENT CITIES CIT
   Environment and Climate Change Canada, 2013, CAN TOP 10 WEATH STO
   Environment and Climate Change Canada, 2018, HURR HAZ MIT
   Environment and Climate Change Canada, 2018, HURR HAZ IMP HUMB RI
   EnviroPaul, 2016, FLOOD MEM
   Flood Review Task Force Province of Manitoba, 2013, REP MIN INFR TRANSP
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fraser Basin Council, 2016, LOW MAINL FLOOD MAN
   Fraser Basin Council, 2018, BULLETIN, V2
   Friend R, 2014, URBAN CLIM, V7, P6, DOI 10.1016/j.uclim.2013.08.001
   Galea D, 2013, 2016 DIS FOR MAY 9 1
   Harford D, 2016, METR VANC COMM SUST
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Henstra Daniel, 2017, IMFG Papers on Municipal Finance and Governance, V30
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Hollnagel E., 2006, Resilience engineering: Concepts and precepts
   Jonhson C., 2012, The Routledge Handbook of Hazards and Disaster Risk Reduction, P641
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kovacs P, 2013, ICLR RES PAPER SERIE, V53
   Lambert M, 2018, ONCOL REV, V12, P90, DOI 10.4081/oncol.2018.371
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Madni AM, 2009, IEEE SYST J, V3, P181, DOI 10.1109/JSYST.2009.2017397
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Masten AS, 2001, AM PSYCHOL, V56, P227, DOI 10.1037/0003-066X.56.3.227
   McNabb L, 2015, GLOBAL NEWS     1013
   McVeigh T., 2014, The Guardian
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meerow Sara., 2016, Urban Geography
   Merringer I, 2011, GLOBE MAIL TORONTO
   Michaels S, 2006, ENVIRON MANAGE, V38, P983, DOI 10.1007/s00267-005-0269-0
   Middle G, 2018, COAST COAST C M MARG
   Moench M, 2014, DEV PRACT, V24, P447, DOI 10.1080/09614524.2014.909385
   Montz BE., 2017, NATURAL HAZARDS EXPL
   Murray D, 2017, CAN WAT RES ASS ANN
   Ong AD, 2006, J PERS SOC PSYCHOL, V91, P730, DOI 10.1037/0022-3514.91.4.730
   Pelling M., 2003, VULNERABILITY CITIES
   Perrings C, 1998, ENVIRON RESOUR ECON, V11, P503, DOI 10.1023/A:1008255614276
   Province of Manitoba, MAN FLOOD FACTS
   Province of Manitoba, 2011, MED B
   Province of Manitoba, 2011 IND FLOOD PROT
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Robinson D, 2006, J CAN STUD, V40, P37, DOI 10.1353/jcs.2007.0011
   Rockefeller Foundation, 2018, 100 RES CIT MAIN PAG
   Rollason K, 2015, WINNIPEG FREE PRESS
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Skerritt J., 2011, Winnipeg Free Press
   Smith K, 2013, Environmental hazards: Assessing risk and reducing disaster
   Stadnyk T, 2016, CAN WATER RESOUR J, V41, P65, DOI 10.1080/07011784.2015.1008048
   Statistics Canada, 2017, MAP15 4 RED RIV VALL
   Tadgell A, 2017, INT J DISAST RISK RE, V22, P447, DOI 10.1016/j.ijdrr.2017.01.005
   Tanner A, 2016, THESIS
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Toronto Public Library Archives, 1954, HURR HAZ IM
   TRCA: Toronto and Region Conservation Authority, 2018, FLOOD RISK MAN HIST
   TRCA: Toronto and Region Conservation Authority, 2005, 50 YEARS LAT HURR HA, V7, P1
   TRCA: Toronto and Region Conservation Authority, HIST FLOOD CONTR TRC
   Tyler K., 2015, Sea level rise adaptation primer: a toolkit to build adaptive capacity on Canada's coasts
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Walker B, 2004, ECOL SOC, V9
   Walker BH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05063-170330
   Winnipeg CY, 2017, WINN CY CENS SUBD MA
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 101
TC 44
Z9 47
U1 2
U2 68
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD AUG
PY 2019
VL 98
IS 1
SI SI
BP 31
EP 50
DI 10.1007/s11069-018-3529-z
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA IY2LT
UT WOS:000486222500004
DA 2025-04-22
ER

PT J
AU Chou, JM
   Sun, MY
   Dong, WJ
   Zhao, WX
   Li, JN
   Li, YM
   Zhou, JY
AF Chou, Jieming
   Sun, Mingyang
   Dong, Wenjie
   Zhao, Weixing
   Li, Jiangnan
   Li, Yuanmeng
   Zhou, Jianyin
TI Assessment and Prediction of Climate Risks in Three Major Urban
   Agglomerations of Eastern China
SO SUSTAINABILITY
LA English
DT Article
DE climate change; urban agglomeration; drought; heat wave; flood; risk
   assessment; GM (1; 1)
AB In the context of global climate change and urban expansion, extreme urban weather events occur frequently and cause significant social problems and economic losses. To study the climate risks associated with rapid urbanization in the global context of climate change, the vulnerability degree of urban agglomeration is constructed by the Grey Model (GM (1, 1)). Based on the sixth phase of the Coupled Model Intercomparison Project (CMIP6) data sets SSP1-2.6, SSP2-4.5, and SSP5-8.5, drought, heat wave, and flood hazards under different emission scenarios are calculated. The vulnerability degree of the urban agglomeration and the climate change hazard were input into the climate change risk assessment model to evaluate future climate change risk. The analysis results show regional differences, with the Beijing-Tianjin-Hebei urban agglomeration having good urban resilience, the Yangtze River Delta urban agglomeration having slightly higher overall risk, and the Pearl River Delta urban agglomeration having the highest relative risk overall. On the whole, the higher the emission intensity is, the greater the risk of climate change to each urban agglomeration under different emission scenarios.
C1 [Chou, Jieming; Sun, Mingyang; Zhao, Weixing; Li, Jiangnan; Li, Yuanmeng] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Sun, Mingyang; Dong, Wenjie] Sun Yat Sen Univ, Atmospher Sci Sch, Guangzhou 510275, Peoples R China.
   [Zhou, Jianyin] Natl Univ Def Technol, Coll Meteorol & Oceanog, Changsha 410073, Peoples R China.
C3 Beijing Normal University; Sun Yat Sen University; National University
   of Defense Technology - China
RP Sun, MY (corresponding author), Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.; Sun, MY (corresponding author), Sun Yat Sen Univ, Atmospher Sci Sch, Guangzhou 510275, Peoples R China.
EM choujm@bnu.edu.cn; 201821051163@mail.bnu.edu.cn;
   dongwj3@mail.sysu.edu.cn; 201921051146@mail.bnu.edu.cn;
   201921051150@mail.bnu.edu.cn; 202021051153@mail.bnu.edu.cn;
   15165381462@163.com
RI dong, wenjie/F-4314-2012; Sun, Mingyang/ABI-8715-2022; zhao,
   weixing/H-3154-2013
OI Dong, Wenjie/0000-0002-9635-6292; Sun, Mingyang/0000-0003-0535-5831;
   chou, jieming/0000-0003-3343-3673
FU National Key Research and Development Program of China [2018YFC1509003];
   National Natural Science Foundation of China [42075167]
FX FundingThis research was funded by the National Key Research and
   Development Program of China: 2018YFC1509003; National Natural Science
   Foundation of China: 42075167.
CR Alexander K, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124201
   [Anonymous], 2018, J YELLOW RIVER, DOI DOI 10.3969/J.ISSN.1000-1379.2018.07.012
   Apel H, 2009, NAT HAZARDS, V49, P79, DOI 10.1007/s11069-008-9277-8
   Arnell NW, 2019, CLIMATIC CHANGE, V155, P377, DOI 10.1007/s10584-019-02464-z
   Barbier EB, 2014, SCIENCE, V345, P1250, DOI 10.1126/science.1254629
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Chen D., 2021, J SICHUAN FOR SCI, V42, P65
   Chou JM, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.641122
   [丑洁明 Chou Jieming], 2018, [大气科学, Chinese Journal of Atmospheric Sciences], V42, P357
   Deng Julong, 1989, Journal of Grey Systems, V1, P1
   [董思言 Dong Siyan], 2014, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V10, P365
   Dong SuoCheng Dong SuoCheng, 2011, Journal of Arid Land Resources and Environment, V25, P72
   Giupponi C., 2014, HYDRO METEOROLOGICAL, P163
   Hay CC, 2015, NATURE, V517, P481, DOI 10.1038/nature14093
   He J, 2015, NAT HAZARDS, V75, pS199, DOI 10.1007/s11069-014-1158-8
   Huang C., 2018, J CHINA PUBLIC SECUR, P19, DOI [10.3969/j.issn.1672-2396.2018.02.005, DOI 10.3969/J.ISSN.1672-2396.2018.02.005]
   [黄国如 Huang Guoru], 2021, [水科学进展, Advances in Water Science], V32, P161
   Huang HF, 2021, NAT HAZARDS, V108, P2059, DOI 10.1007/s11069-021-04768-9
   [黄建毅 Huang Jianyi], 2017, [地理科学, Scientia Geographica Sinica], V37, P1211
   [黄晓军 Huang Xiaojun], 2020, [地理研究, Geographical Research], V39, P1534
   Huang-Tzeng ChangJu Huang-Tzeng ChangJu, 1999, Journal of Agricultural Economics (Nongye Jingyi), P21
   Liu DF, 2014, J INTELL FUZZY SYST, V27, P2409, DOI 10.3233/IFS-141210
   Liu X.F., 2019, ECOL ECON, V35, P104
   [路洁 Lu Jie], 2020, [水利水运工程学报, Hydro-Science and Engineering], P23
   Ma J., 2011, J METEOROL RES APPL, V32, P17
   Roper R.E., 2011, HOMEL SECUR EMERG MA, V1, DOI [10.2202/1547-7355.1008, DOI 10.2202/1547-7355.1008]
   Sahana V, 2021, J ENVIRON MANAGE, V299, DOI 10.1016/j.jenvman.2021.113689
   Sun MY, 2020, PHYS CHEM EARTH, V116, DOI 10.1016/j.pce.2020.102837
   Sun S, 2020, PHYS CHEM EARTH, V115, DOI 10.1016/j.pce.2019.102824
   Sun WB, 2021, ADV ATMOS SCI, V38, P875, DOI 10.1007/s00376-021-1012-3
   Tan RR, 2014, PROCESS SAF ENVIRON, V92, P467, DOI 10.1016/j.psep.2013.11.005
   Wang CW, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12031122
   [吴绍洪 Wu Shaohong], 2018, [地理科学进展, Progress in Geography], V37, P28
   [吴绍洪 Wu Shaohong], 2017, [地理学报, Acta Geographica Sinica], V72, P3
   Yang Y., 2018, J WATER PURIF TECHNO, V37, P116, DOI [10.15890/j.cnki.jsjs.2018.08.022, DOI 10.15890/J.CNKI.JSJS.2018.08.022]
   Yin MS, 2013, EXPERT SYST APPL, V40, P2767, DOI 10.1016/j.eswa.2012.11.002
   Zhang XR, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114341
   [周洋 Zhou Yang], 2018, [地球信息科学学报, Journal of Geo-Information Science], V20, P1613
NR 38
TC 6
Z9 6
U1 8
U2 81
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2021
VL 13
IS 23
AR 13037
DI 10.3390/su132313037
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA XU9YB
UT WOS:000734609800001
OA gold
DA 2025-04-22
ER

PT J
AU Yang, JW
   Duan, CC
   Wang, H
   Chen, B
AF Yang, Junwen
   Duan, Cuncun
   Wang, Hao
   Chen, Bin
TI Spatial supply-demand balance of green space in the context of urban
   waterlogging hazards and population agglomeration
SO RESOURCES CONSERVATION AND RECYCLING
LA English
DT Article
DE Urban green space; Supply -demand balance; Urban waterlogging;
   Population agglomeration; Ecological resilience
ID ECOSYSTEM SERVICES; FRAMEWORK; CITIES
AB Urban green space (UGS) contributes significantly to urban settlements with respect to frequent rainstorm events and population agglomeration issues, but there is limited understanding of the spatial match between green space supply and social demand. This study established an integrated evaluation framework relating to the supply-demand balance of UGS. In a case study of Beijing, the urban waterlogging risk was simulated with an ICM model, and specific demand criteria of waterlogging hazards and population needs were considered. The street-scale supply-demand balance of demands for existing and future UGS was then quantified with the two-step floating catchment area method. Comparison of the street-level balance in large rainstorms and populated areas identified the key locations where the green space supply should be strengthened in Beijing. This study may provide an integrated evaluation of green space accessibility and a solid foundation for refined urban land-use planning strategies.
C1 [Yang, Junwen; Duan, Cuncun; Chen, Bin] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100875, Peoples R China.
   [Wang, Hao] Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China.
   [Chen, Bin] 19 Xinjiekouwai St, Beijing 100875, Peoples R China.
C3 Beijing Normal University; Beijing University of Technology
RP Chen, B (corresponding author), 19 Xinjiekouwai St, Beijing 100875, Peoples R China.
EM chenb@bnu.edu.cn
RI Chen, Bin/A-6951-2012
FU National Natural Science Foundation of China [72091511, 71725005];
   Beijing Outstanding Scientist Program [BJJWZYJH01201910027031];
   Strategic Priority Research Program of Chinese Academy of Sciences
   [XDA20100104]; Beijing Natural Science Foundation [9222017]
FX This work was supported by the National Natural Science Foundation of
   China (nos. 72091511, 71725005) , Beijing Outstanding Scientist Program
   (BJJWZYJH01201910027031) , Strategic Priority Research Program of
   Chinese Academy of Sciences (no. XDA20100104) , and Beijing Natural
   Science Foundation (9222017) . We thank Editor and reviewers for their
   great help with improving the paper quality.
CR Afriyanie D, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102710
   Basnou C, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126797
   Bhagavathula S, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102408
   Bukvareva E, 2017, ECOL INDIC, V78, P351, DOI 10.1016/j.ecolind.2017.03.034
   Chen WY, 2015, CITIES, V44, P112, DOI 10.1016/j.cities.2015.01.005
   Cortinovis C, 2020, LANDSCAPE URBAN PLAN, V201, DOI 10.1016/j.landurbplan.2020.103842
   De la Sota C, 2019, URBAN FOR URBAN GREE, V40, P145, DOI 10.1016/j.ufug.2018.09.004
   Forster P., 2021, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P923, DOI [DOI 10.1017/9781009157896, 10.1017/9781009157896.009., DOI 10.1017/9781009157896.009]
   Gong P, 2019, SCI BULL, V64, P370, DOI 10.1016/j.scib.2019.03.002
   Gu XK, 2017, URBAN FOR URBAN GREE, V27, P373, DOI 10.1016/j.ufug.2017.08.006
   Gunnell K, 2019, SCI TOTAL ENVIRON, V670, P411, DOI 10.1016/j.scitotenv.2019.03.212
   Hazer M, 2018, LANDSCAPE URBAN PLAN, V169, P47, DOI 10.1016/j.landurbplan.2017.08.006
   Hu SJ, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102815
   Huang YY, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108275
   IUCN, 2020, Global standard for nature-based solutions. A user-friendly framework for the verification, design and scaling up of NbS, DOI DOI 10.2305/IUCN.CH.2020.08.EN
   Larondelle N, 2016, ECOSYST SERV, V22, P18, DOI 10.1016/j.ecoser.2016.09.008
   Layke C, 2012, ECOL INDIC, V17, P77, DOI 10.1016/j.ecolind.2011.04.025
   Li L, 2020, URBAN FOR URBAN GREE, V54, DOI 10.1016/j.ufug.2020.126770
   Liu HX, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103898
   Lorilla RS, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104171
   Park K, 2019, WATER-SUI, V11, DOI 10.3390/w11050920
   Paulin MJ, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101114
   Peng J, 2018, HABITAT INT, V71, P110, DOI 10.1016/j.habitatint.2017.11.010
   Schiavina M., 2019, GHS population grid multitemporal (1975, 1990, 2000, 2015) R2019A, DOI DOI 10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218
   Stevenson M, 2016, LANCET, V388, P2925, DOI 10.1016/S0140-6736(16)30067-8
   Sugiyama T, 2018, LANDSCAPE URBAN PLAN, V178, P12, DOI 10.1016/j.landurbplan.2018.05.019
   Tabari H, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126352
   Terkenli TS, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126624
   Thorn JPR, 2021, LANDSCAPE URBAN PLAN, V216, DOI 10.1016/j.landurbplan.2021.104235
   Villamagna AM, 2013, ECOL COMPLEX, V15, P114, DOI 10.1016/j.ecocom.2013.07.004
   Wang H, 2021, J ENVIRON MANAGE, V280, DOI 10.1016/j.jenvman.2020.111701
   Wang LJ, 2019, ECOSYST SERV, V37, DOI 10.1016/j.ecoser.2019.100939
   Wu JY, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121454
   Xiao CY, 2021, ENVIRON SUSTAIN IND, V12, DOI 10.1016/j.indic.2021.100152
   Xu CQ, 2019, RESOUR CONSERV RECY, V151, DOI 10.1016/j.resconrec.2019.104478
   Xu Q, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123849
   Zhang P, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103896
   Zhang Y, 2021, LAND USE POLICY, V108, DOI 10.1016/j.landusepol.2021.105667
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
NR 39
TC 22
Z9 23
U1 19
U2 200
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-3449
EI 1879-0658
J9 RESOUR CONSERV RECY
JI Resour. Conserv. Recycl.
PD JAN
PY 2023
VL 188
AR 106662
DI 10.1016/j.resconrec.2022.106662
EA SEP 2022
PG 14
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA 4Y9JC
UT WOS:000861836000003
DA 2025-04-22
ER

PT J
AU Carson, DB
   Carson, DA
AF Carson, Dean Bradley
   Carson, Doris Anna
TI Demographic Instability as a Barrier to Remote Economic Development in
   the North: Are Cities the Answer?
SO SUSTAINABILITY
LA English
DT Article
DE resource peripheries; boom and bust; resource cycle; Jack London Effect;
   urban preference; population growth; population retention; northern
   cities
ID MIGRATION; CHALLENGES; DEPENDENCE; EMPLOYMENT; TOURISM; LEISURE;
   REGIONS; DARWIN; URBAN; CITY
AB Remote and sparsely populated northern peripheries in Australia, Europe and North America experience high rates of population turnover and struggle to recruit and retain populations. There has been discussion about the extent to which their larger urban centres may be key to navigating common 'boom and bust' cycles, thus contributing to more stable and resilient demographic and economic development in their jurisdictions. This paper examines the population development in twelve remote northern jurisdictions dominated by a large city, comparing urban and regional growth patterns around periods of economic boom and bust since 1990. It was expected that periods of high population growth would be initially led by regional areas where resource projects are commonly located, but that the cities would ultimately benefit more from high growth periods and suffer less from periods of low population growth. It was also expected that cities would retain key populations better than regions because of a growing global urban preference. Results suggest that regional areas did grow more at the start of high growth periods, but there was no universal experience of higher city growth throughout the two boom and bust cycles. Rather, each city and region had unique growth pattern properties. Cities must not be assumed a priori to be the drivers of demographic development, but attention needs to be paid to what types of cities promote less volatile growth and development potential in the regions.
C1 [Carson, Dean Bradley] Cent Queensland Univ, Sch Business & Law, Cairns, Qld 4870, Australia.
   [Carson, Doris Anna] Umea Univ, Dept Geog, S-90187 Umea, Sweden.
C3 Central Queensland University; Umea University
RP Carson, DA (corresponding author), Umea Univ, Dept Geog, S-90187 Umea, Sweden.
EM d.carson@cqu.edu.au; doris.carson@umu.se
FU Swedish Research Council FORMAS [2016-00352]; Formas [2016-00352]
   Funding Source: Formas
FX This research was funded by the Swedish Research Council FORMAS, grant
   number 2016-00352.
CR [Anonymous], 2014, ARCTIC HUMAN DEV REP
   Argent N, 2008, AUST GEOGR, V39, P109, DOI 10.1080/00049180802056807
   Barnes TJ, 2001, ENVIRON PLANN A, V33, P2127, DOI 10.1068/a34187
   Bjarnason T, 2017, J RURAL STUD, V54, P244, DOI 10.1016/j.jrurstud.2017.07.001
   Bjerke L, 2017, ANN REGIONAL SCI, V59, P707, DOI 10.1007/s00168-016-0777-2
   BRADBURY JH, 1983, CAN GEOGR-GEOGR CAN, V27, P128, DOI 10.1111/j.1541-0064.1983.tb01468.x
   Burillo P, 2020, CAN STUD POPUL, V47, P279, DOI 10.1007/s42650-020-00036-6
   Carson D.B., 2016, SETTLEMENTS EDGE REM
   Carson D, 2010, URBAN POLICY RES, V28, P293, DOI 10.1080/08111146.2010.509886
   Carson DA, 2021, GEOGR RES-AUST, V59, P424, DOI 10.1111/1745-5871.12476
   Carson DA, 2014, SCAND J HOSP TOUR, V14, P460, DOI 10.1080/15022250.2014.967997
   Copus A., 2008, INTERDEPENDENCIES RU INTERDEPENDENCIES RU
   Eikeland S, 2016, NEW HORIZ REG SCI, P220
   Halseth G, 1999, CAN GEOGR-GEOGR CAN, V43, P363, DOI 10.1111/j.1541-0064.1999.tb01395.x
   Hansen K.G., 2013, URBANIZATION ROLE HO, P13
   Hansen K.G., 2013, NORDREGIO WORKING PA NORDREGIO WORKING PA, V6
   Hansen K.G., 2013, URBANIZATION ROLE HO
   Haycox StephenW., 2002, Alaska: An American Colony
   Hudson C, 2021, J RURAL STUD, V82, P121, DOI 10.1016/j.jrurstud.2021.01.005
   Huskey L, 2017, NORTH REV, P327, DOI 10.22584/nr44.2017.014
   Huskey L, 2016, NEW HORIZ REG SCI, P25
   Huskey L, 2005, POLAR GEOGR, V29, P119, DOI 10.1080/789610129
   Keskitalo ECH, 2019, TRANSFORM ENV POLIT, P1
   Lamanes T, 2019, CAN GEOGR-GEOGR CAN, V63, P145, DOI 10.1111/cag.12492
   Lawrie M, 2011, AUST GEOGR, V42, P139, DOI 10.1080/00049182.2011.569985
   Le Tourneau FM, 2020, J RURAL STUD, V75, P70, DOI 10.1016/j.jrurstud.2019.12.012
   Lonsdale R.E., 1981, SETTLEMENT SYSTEMS S
   Martel C, 2013, MIGR LETT, V10, P101
   Muller D. K., 2020, Arctic Tourism in Times of Change: Dimensions of Urban Tourism, V2020, P529
   Munkejord MC, 2017, J ENTERP COMMUNITIES, V11, P258, DOI 10.1108/JEC-05-2015-0029
   Nord Douglas., 2002, Higher education across the Circumpolar North : A circle of learning
   Nyseth T, 2017, PALG STUD WORLD ENV, P59, DOI 10.1007/978-3-319-39116-8_4
   Pavelka J, 2015, ANN TOURISM RES, V50, P128, DOI 10.1016/j.annals.2014.11.013
   Petrov A.N., 2007, CANADIAN J REGIONAL, V30, P451
   Ryser L., 2014, J RURAL COMMUN DEV, V9
   Ryser L, 2011, J HOUS ELDER, V25, P306, DOI 10.1080/02763893.2011.595618
   Salvati L, 2020, INT SOC SCI J, V69, P213, DOI [10.1111/issj.12237, DOI 10.1111/ISSJ.12237]
   Salvati L, 2017, POPUL SPACE PLACE, V23, DOI 10.1002/psp.2079
   Storey K, 2018, J RURAL COMMUN DEV, V13
   Taylor A, 2016, NEW HORIZ REG SCI, P1, DOI 10.4337/9781784711962
   Taylor A, 2011, GEOGR RES-AUST, V49, P13, DOI 10.1111/j.1745-5871.2010.00648.x
   Taylor AJ, 2014, J RURAL COMMUNITY D, V9, P24
   Thulemark M, 2014, SCAND J HOSP TOUR, V14, P403, DOI 10.1080/15022250.2014.968000
   Thurmer J, 2019, AUST GEOGR, V50, P435, DOI 10.1080/00049182.2019.1682318
   Tonts M, 2010, GEOGR RES-AUST, V48, P148, DOI 10.1111/j.1745-5871.2009.00624.x
   Westin L., 2015, FIRMSLOCATION SELECT, P203
NR 46
TC 3
Z9 3
U1 0
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2021
VL 13
IS 15
AR 8566
DI 10.3390/su13158566
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TW2ZC
UT WOS:000682273900001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Ying, C
   Liu, YC
   Li, JL
   Zhong, J
   Chen, YX
   Ai, SY
   Zhang, HT
   Huang, QY
   Gong, HB
AF Ying, Chao
   Liu, Yongchao
   Li, Jialin
   Zhong, Jie
   Chen, Yuxin
   Ai, Shunyi
   Zhang, Haitao
   Huang, Qiyu
   Gong, Hongbo
TI Evolution and influencing factors of coastal resilience in the East
   China Sea
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Coastal resilience; Spatiotemporal evolution; Influencing factors;
   Modifiable areal unit problem (MAUP); Mainland coastal zone of East
   China Sea (ECS)
ID ECOSYSTEM SERVICES; CLIMATE-CHANGE; COMMUNITY RESILIENCE; URBAN
   RESILIENCE; RISK-REDUCTION; LANDSCAPE; VULNERABILITY; CONSEQUENCES;
   DEGRADATION; HAZARDS
AB The coastal zone serves as a crucial hub for economic and population concentration. Amid the context of highintensity development and global climate change, uncertain risks from diverse sources-including extreme weather events (i.e., high temperatures, typhoons, and excessive precipitation), natural disasters (i.e., floods, tsunamis, landslides, and mudslides), and societal disruptions (i.e., economic crises and viral diseases)-are escalating rapidly. Enhancing coastal resilience to minimize these risk impacts is progressively becoming a mandatory requirement for the sustainable development of coastal zones. However, existing research primarily focuses on distinct disasters, the ecological environment, or specific socio-economic aspects, thereby lacking a comprehensive theoretical framework and thorough analysis of the factors influencing coastal resilience. Here, we construct a theoretical framework centered on the unique traits and processes of coastal resilience, analyze the spatiotemporal evolution characteristics of coastal resilience from a grid and administrative division standpoint, and utilize geographic detectors to determine the factors influencing coastal resilience while considering the modifiable areal unit problem (MAUP). Our findings indicate that: (1) Coastal resilience in the East China Sea (ECS) initially declined but then increased, transitioning from a lower to a medium level. Barring the pressure index, other dimensional indices had an upward trend; (2) Continuous improvements were observed in coastal resilience across different land uses. Forests, waters, and oceans demonstrated higher resilience levels than other lands, with construction land resilience developing swiftly. The effect of changes in land use types on coastal resilience showed a rapid initial increase and subsequent decrease; (3) The change pattern of coastal resilience in the ECS is mainly unchanged and slightly increased. Areas with the most drastic changes were concentrated in Shanghai, northern Zhejiang, and central Fujian, with the main change patterns continuously rising; (4) The primary factors influencing coastal resilience in the ECS included gross domestic product and infrastructure construction level. Advanced industrial structure, technological and educational prowess, and effective government management are important determinants of coastal resilience development. The significance of human factors continues to grow. Our findings offer valuable insights for optimizing national spatial planning of coastal zones, responding to internal and external impacts, achieving resilient coastal zones, and implementing a comprehensive sustainable management approach.
C1 [Ying, Chao; Liu, Yongchao; Li, Jialin; Gong, Hongbo] Ningbo Univ, Donghai Acad, Ningbo 315211, Zhejiang, Peoples R China.
   [Ying, Chao; Liu, Yongchao] Minist Nat Resources, Key Lab Coastal Zone Exploitat & Protect, Nanjing 210017, Jiangsu, Peoples R China.
   [Ying, Chao; Liu, Yongchao; Li, Jialin; Zhong, Jie; Chen, Yuxin; Ai, Shunyi; Zhang, Haitao; Huang, Qiyu] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Zhejiang, Peoples R China.
   [Liu, Yongchao; Li, Jialin; Gong, Hongbo] Ningbo Univ, Collaborat Innovat Ctr Land & Marine Spatial Utili, Ningbo 315211, Zhejiang, Peoples R China.
   [Gong, Hongbo] Ningbo Univ, Dept Publ Adm, Ningbo 315211, Zhejiang, Peoples R China.
   [Liu, Yongchao; Li, Jialin] Ningbo Univ, Ningbo 315211, Zhejiang, Peoples R China.
C3 Ningbo University; Ministry of Natural Resources of the People's
   Republic of China; Ningbo University; Ningbo University; Ningbo
   University; Ningbo University
RP Liu, YC; Li, JL (corresponding author), Ningbo Univ, Ningbo 315211, Zhejiang, Peoples R China.
EM 2211420028@nbu.edu.cn; liuyongchao@nbu.edu.cn; lijialin@nbu.edu.cn;
   2211420033@nbu.edu.cn; 2311110002@nbu.edu.cn; 2111073001@nbu.edu.cn;
   2011073029@nbu.edu.cn; 2311110011@nbu.edu.cn
RI zhang, Haitao/AAF-4771-2021; Li, Jialin/B-3046-2018; Huang,
   Qiyu/LIH-3255-2024
FU National Natural Science Foundation of China [42276234, 42206236];
   National Social Science Foundation Major Project of China [23ZD105];
   Open Fund of the Key Laboratory of Coastal Zone Exploitation and
   Protection, Ministry of Natural Resources of China [2023CZEPK04]; Ningbo
   Philosophy and Social Science Planning Project [G2023-2-59]; Ningbo
   University Graduate Research Innovation Fund [IF2023038]
FX This research was supported by the National Natural Science Foundation
   of China (42276234; 42206236) , National Social Science Foundation Major
   Project of China (23&ZD105) , the Open Fund of the Key Laboratory of
   Coastal Zone Exploitation and Protection, Ministry of Natural Resources
   of China (2023CZEPK04) , Ningbo Philosophy and Social Science Planning
   Project (G2023-2-59) , Ningbo University Graduate Research Innovation
   Fund (IF2023038) .
CR Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   Acuti D, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102608
   Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   Avand M, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103910
   Bagdanaviciute I, 2019, J COAST CONSERV, V23, P785, DOI 10.1007/s11852-018-0638-5
   Bayer C, 2019, ECONOMETRICA, V87, P255, DOI 10.3982/ECTA13601
   Berke PR, 2019, J ENVIRON PLANN MAN, V62, P901, DOI 10.1080/09640568.2018.1453354
   [Bijlsma L. IPCC. IPCC.], 1996, Chapter 9 Coastal Zones and Small Islands, P289
   Brown G, 2017, OCEAN COAST MANAGE, V142, P49, DOI 10.1016/j.ocecoaman.2017.03.019
   Cao YW, 2023, CHINESE GEOGR SCI, V33, P719, DOI 10.1007/s11769-023-1368-7
   Carlton JS, 2013, J ENVIRON MANAGE, V130, P32, DOI 10.1016/j.jenvman.2013.08.038
   Caro C, 2020, ECOL INDIC, V115, DOI 10.1016/j.ecolind.2020.106426
   Chaffin BC, 2018, GEOMORPHOLOGY, V305, P221, DOI 10.1016/j.geomorph.2017.09.038
   Chang DY, 1996, EUR J OPER RES, V95, P649, DOI 10.1016/0377-2217(95)00300-2
   Cherqui F, 2015, SCI TOTAL ENVIRON, V514, P418, DOI 10.1016/j.scitotenv.2015.02.027
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Cumming GS, 2017, TRENDS ECOL EVOL, V32, P695, DOI 10.1016/j.tree.2017.06.014
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   DesJardine M, 2019, J MANAGE, V45, P1434, DOI 10.1177/0149206317708854
   Di XH, 2015, CHINESE GEOGR SCI, V25, P51, DOI 10.1007/s11769-014-0707-0
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fan Y, 2011, CLIM DYNAM, V37, P253, DOI 10.1007/s00382-010-0829-8
   Fang C., 2019, World Reg. Stud, V28, P77, DOI DOI 10.3969/J.ISSN.1004-9479.2019.06.2018403
   Field C.B., 2012, SPECIAL REPORT IPCC
   Finkl CW, 2022, J COASTAL RES, DOI 10.2112/JCOASTRES-D-22A-00003.1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Franzen MO, 2023, REG STUD MAR SCI, V59, DOI 10.1016/j.rsma.2022.102809
   Ganguli P, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-49822-6
   Gao F, 2021, INT J GEOGR INF SCI, V35, P1905, DOI 10.1080/13658816.2020.1863410
   Gao J, 2017, J CLEAN PROD, V163, pS148, DOI 10.1016/j.jclepro.2016.01.049
   Gibson C., 2006, POPULATION DIVISION
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Guo B, 2020, SCI TOTAL ENVIRON, V741, DOI 10.1016/j.scitotenv.2020.140256
   Heger WT, 2019, GLOB ECOL CONSERV, V18, DOI 10.1016/j.gecco.2019.e00605
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Hu Y, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021427
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jelinski DE, 1996, LANDSCAPE ECOL, V11, P129, DOI 10.1007/BF02447512
   John F, 2019, ECOL ECON, V157, P357, DOI 10.1016/j.ecolecon.2018.11.021
   Ju HR, 2016, INT J GEOGR INF SCI, V30, P2188, DOI 10.1080/13658816.2016.1165228
   Kato S, 2011, LANDSC ECOL ENG, V7, P275, DOI 10.1007/s11355-010-0135-y
   Klein RJT, 1998, GEOGR J, V164, P259, DOI 10.2307/3060615
   Kron W, 2013, NAT HAZARDS, V66, P1363, DOI 10.1007/s11069-012-0215-4
   Lewis CJE, 2019, SCI TOTAL ENVIRON, V672, P427, DOI 10.1016/j.scitotenv.2019.03.345
   Li RW, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16020765
   Li XN, 2019, WATER-SUI, V11, DOI 10.3390/w11081654
   Liang J., 2020, Watershed Ecology and the Environment, V2, P6, DOI [10.1016/j.wsee.2020.06.001, DOI 10.1016/J.WSEE.2020.06.001]
   Liu XL, 2019, GEOMAT NAT HAZ RISK, V10, P2069, DOI 10.1080/19475705.2019.1680450
   Liu Y, 2023, MAR POLICY, V148, DOI 10.1016/j.marpol.2022.105456
   Lotze HK, 2006, SCIENCE, V312, P1806, DOI 10.1126/science.1128035
   Martinez ML, 2017, J COASTAL RES, P143, DOI 10.2112/SI77-015.1
   Martín-Antón M, 2016, J COASTAL RES, P667, DOI 10.2112/SI75-133.1
   Masselink G, 2019, WATER-SUI, V11, DOI 10.3390/w11122587
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Meng ZR, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111769
   Morelli A, 2021, OCEAN COAST MANAGE, V214, DOI 10.1016/j.ocecoaman.2021.105867
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   Oktari RS, 2020, WATER-SUI, V12, DOI 10.3390/w12102823
   Panagos P, 2015, ENVIRON SCI POLICY, V54, P438, DOI 10.1016/j.envsci.2015.08.012
   Parsons M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102422
   Pascual-Aguilar J, 2015, SCI TOTAL ENVIRON, V503, P190, DOI 10.1016/j.scitotenv.2014.07.007
   Pei W, 2022, NAT HAZARDS, V110, P1599, DOI 10.1007/s11069-021-05004-0
   Peng J, 2018, HABITAT INT, V71, P110, DOI 10.1016/j.habitatint.2017.11.010
   Piégay H, 2020, GEOMORPHOLOGY, V367, DOI 10.1016/j.geomorph.2018.09.018
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Protection USPsCoCI, 1997, Critical Foundations: Protecting America's Infrastructures: The Report of the President's Commission on Critical Infrastructure Protection
   Qin WM, 2017, NAT HAZARDS, V89, P331, DOI 10.1007/s11069-017-2967-3
   Al Rifat SA, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10050295
   Rumson AG, 2020, OCEAN COAST MANAGE, V185, DOI 10.1016/j.ocecoaman.2019.105004
   Schultz MT, 2016, J COASTAL RES, V32, P1032, DOI 10.2112/JCOASTRES-D-15-00170.1
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Song K, 2018, ENVIRON POLLUT, V242, P1970, DOI 10.1016/j.envpol.2018.07.057
   Song S, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111671
   Sun X, 2018, SCI TOTAL ENVIRON, V622, P974, DOI 10.1016/j.scitotenv.2017.12.062
   Swift A, 2008, COMPUT ENVIRON URBAN, V32, P134, DOI 10.1016/j.compenvurbsys.2008.01.002
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Townend BIH, 2021, SCI TOTAL ENVIRON, V783, DOI 10.1016/j.scitotenv.2021.146880
   Vince J, 2017, RESTOR ECOL, V25, P123, DOI 10.1111/rec.12388
   Wang JF, 2010, INT J GEOGR INF SCI, V24, P107, DOI 10.1080/13658810802443457
   Wang QL, 2021, OCEAN COAST MANAGE, V207, DOI 10.1016/j.ocecoaman.2018.09.004
   Wang XX, 2021, NAT SUSTAIN, V4, P1076, DOI 10.1038/s41893-021-00793-5
   Wei M, 2024, INT J DISAST RISK RE, V100, DOI 10.1016/j.ijdrr.2023.104167
   Wong D., 2004, WorldMinds: Geographical Perspectives on 100 Problems, P571, DOI [10.4135/9780857020130.n7, DOI 10.1007/978-1-4020-2352-1_93]
   Wu JH, 2022, OCEAN COAST MANAGE, V217, DOI 10.1016/j.ocecoaman.2021.106016
   [夏楚瑜 Xia Chuyu], 2022, [生态学报, Acta Ecologica Sinica], V42, P116
   [谢高地 Xie Gaodi], 2015, [自然资源学报, Journal of Natural Resources], V30, P1243
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang Y, 2019, J GEOGR SCI, V29, P1261, DOI 10.1007/s11442-019-1658-2
   Yao FG, 2024, PLOS ONE, V19, DOI 10.1371/journal.pone.0285113
   Yao YL, 2019, J GEOPHYS RES-ATMOS, V124, P2049, DOI 10.1029/2018JD029347
   Zhang HT, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110981
   Zhang W, 2020, APPL GEOGR, V117, DOI 10.1016/j.apgeog.2020.102174
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhao J, 2018, J MARINE SYST, V181, P25, DOI 10.1016/j.jmarsys.2018.01.007
   Zhao LL, 2021, POL J ENVIRON STUD, V30, P4855, DOI 10.15244/pjoes/133240
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhong SH, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-27495-6
   Zimmermann E, 2016, PROCEDIA ENGINEER, V161, P2241, DOI 10.1016/j.proeng.2016.08.822
NR 101
TC 4
Z9 4
U1 40
U2 70
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD SEP 20
PY 2024
VL 944
AR 173841
DI 10.1016/j.scitotenv.2024.173841
EA JUN 2024
PG 20
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA WN3P0
UT WOS:001255517700001
PM 38866168
DA 2025-04-22
ER

PT J
AU Fan, YM
   Wei, GE
AF Fan, Yuemin
   Wei, Guoen
TI Assessment of ecological resilience and its response mechanism to land
   spatial structure conflicts in China's Southeast Coastal Areas
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Spatial structure conflict; Ecological resilience; Spatial
   externalities; Land use control; China Southeast Coastal Area (CSCA)
AB As a key region in China's reform and opening up, the China's Southeast Coastal Areas (CSCA) is experiencing a rapid decline in ecological resilience and environmental risk resistance due to accelerated socioeconomic development. Consequently, assessing the impact of land spatial structural transformation on environmental resilience and developing suitable regulatory strategies has emerged as a critical issue in this region. This study develops an assessment framework for ecological resilience (ER) and "Production-Living- Ecological" space structure conflict (SCCI) utilizing multi-source remote sensing data and socioeconomic statistics from 2000 to 2022. This framework aims to uncover long-term evolution patterns, spatial correlations, and driving mechanisms. The study finds that the ER of CSCA has exhibited a convergence trend of 11.55% since the 21st century, whereas the "Production-Living- Ecological" space structure conflict achieved an overall increase of 6.34%. The spatial mismatch between ER and SCCI is the primary clustering type of their geographical association. However, the proportion of cities exhibiting this mismatch is gradually decreasing, primarily concentrated in coastal urban agglomerations and southeastern hilly regions. An increase of 1 unit in SCCI results in a decrease in local ecological resilience by 0.130-0.207, while neighboring areas experience a decline in environmental resilience of 1.764-3.849. This indicates that the spatial externality effects of spatial structural conflict on ecological resilience are significantly greater than the local effects. Furthermore, spatial complexity, instability, and vulnerability exacerbate the negative impact on ecological resilience through nonlinear interactions. This finding supports the feasibility of implementing "Production-Living-Ecological" space control mechanisms-scale transformation, stability maintenance, and connectivity building-to restore ecological resilience. Addressing these issues offers new insights into the relationship between spatial transformation and ecological resilience in the region. It provides valuable lessons for the territorial spatial control planning aimed at enhancing ecological resilience.
C1 [Fan, Yuemin] Guangdong Univ Finance & Econ, Inst New Dev, Guangzhou 510320, Peoples R China.
   [Wei, Guoen] Nanchang Univ, Sch Resources & Environm, Nanchang 330031, Peoples R China.
   [Wei, Guoen] Nanchang Univ, Cent China Res Ctr Econ & Social Dev, Nanchang 330031, Peoples R China.
C3 Guangdong University of Finance & Economics; Nanchang University;
   Nanchang University
RP Wei, GE (corresponding author), Nanchang Univ, Sch Resources & Environm, Nanchang 330031, Peoples R China.
EM dg1927034@smail.nju.edu.cn
OI Wei, Guoen/0000-0002-2054-7623
FU Guangzhou Philosophy and Social Science Development '14th Five-Year
   Plan' Project [2024GZGJ75]; National Natural Science Foundation of China
   [42301226]; China Postdoctoral Science Foundation [2023M731493]
FX This research was supported by Guangzhou Philosophy and Social Science
   Development '14th Five-Year Plan' Project in 2024 (NO. 2024GZGJ75) , the
   National Natural Science Foundation of China (NO: 42301226) , China
   Postdoctoral Science Foundation (NO. 2023M731493) .
CR Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Campos GEP, 2013, NATURE, V494, P349, DOI 10.1038/nature11836
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen Lei Chen Lei, 2015, Acta Ecologica Sinica - International Journal, V35, P46
   [陈利顶 CHEN LiDing], 2006, [生态学报, Acta Ecologica Sinica], V26, P1444
   Chen WX, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105964
   Cumming GS, 2011, LANDSCAPE ECOL, V26, P899, DOI 10.1007/s10980-011-9623-1
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Fu JY, 2022, LAND USE POLICY, V122, DOI 10.1016/j.landusepol.2022.106386
   Galli A, 2013, SCI TOTAL ENVIRON, V461, P813, DOI 10.1016/j.scitotenv.2012.11.071
   Gao F, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104635
   Garcia GM, 2024, ONE EARTH, V7, P1362, DOI 10.1016/j.oneear.2024.07.007
   Grieco E., 2024, bioRxiv
   Hou XJ, 2020, REMOTE SENS ENVIRON, V248, DOI 10.1016/j.rse.2020.111998
   Hu H, 2024, ENVIRON IMPACT ASSES, V106, DOI 10.1016/j.eiar.2024.107540
   Huang J, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110763
   Jha S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55067-0
   Ji ZQ, 2024, J ENVIRON MANAGE, V365, DOI 10.1016/j.jenvman.2024.121508
   Lee CC, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.141082
   Li JX, 2024, J CLEAN PROD, V438, DOI 10.1016/j.jclepro.2024.140812
   Li LJ, 2023, ATMOS ENVIRON, V305, DOI 10.1016/j.atmosenv.2023.119804
   Li YF, 2016, ENVIRON POLLUT, V208, P87, DOI 10.1016/j.envpol.2015.08.042
   Li YF, 2014, ECOL INDIC, V42, P135, DOI 10.1016/j.ecolind.2013.09.032
   Liu HY, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104038
   Liu JM, 2023, SCI TOTAL ENVIRON, V898, DOI 10.1016/j.scitotenv.2023.165453
   Liu MB, 2023, J CLEAN PROD, V415, DOI 10.1016/j.jclepro.2023.137878
   Liu SJ, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110996
   Ma XB, 2023, ECOL INDIC, V153, DOI 10.1016/j.ecolind.2023.110409
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   Nemani RR, 2003, SCIENCE, V300, P1560, DOI 10.1126/science.1082750
   Ren WH, 2024, OCEAN COAST MANAGE, V247, DOI 10.1016/j.ocecoaman.2023.106939
   Su J, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112314
   Tao Y, 2022, ECOSYST SERV, V56, DOI 10.1016/j.ecoser.2022.101448
   Wang A., 2024, Impact of seasonal global land surface temperature (LST) change on gross primary production (GPP). In the Early 21st Century
   Wang CQ, 2024, J CLEAN PROD, V446, DOI 10.1016/j.jclepro.2024.141428
   Wang H, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107163
   Wang JD, 2023, ENERG ECON, V126, DOI 10.1016/j.eneco.2023.106953
   Wang K, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16831
   Wang KW, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104783
   Wang SB, 2024, ECOL INDIC, V160, DOI 10.1016/j.ecolind.2024.111836
   [王少剑 Wang Shaojian], 2021, [地理学报, Acta Geographica Sinica], V76, P973
   Wang YM, 2024, APPL GEOGR, V167, DOI 10.1016/j.apgeog.2024.103299
   Wang YY, 2024, ENVIRON IMPACT ASSES, V108, DOI 10.1016/j.eiar.2024.107613
   Wang Y, 2023, J CLEAN PROD, V429, DOI 10.1016/j.jclepro.2023.139498
   Wang ZQ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110666
   Wang ZK, 2024, SCI TOTAL ENVIRON, V926, DOI 10.1016/j.scitotenv.2024.171815
   Wen LS, 2024, J ENVIRON MANAGE, V361, DOI 10.1016/j.jenvman.2024.121265
   Xia H, 2023, BIOL CONSERV, V285, DOI 10.1016/j.biocon.2023.110254
   Xu CY, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2023.111447
   Xu ZD, 2024, J NAT CONSERV, V78, DOI 10.1016/j.jnc.2024.126583
   Yuan Y, 2022, ECOL ENG, V175, DOI 10.1016/j.ecoleng.2021.106486
   Zeng QJY, 2023, ECOL INDIC, V153, DOI 10.1016/j.ecolind.2023.110397
   Zhang MM, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16146237
   Zhang MM, 2024, ECOL INDIC, V160, DOI 10.1016/j.ecolind.2024.111938
   Zhang MX, 2024, ECOL INDIC, V164, DOI 10.1016/j.ecolind.2024.112144
   Zhang YJ, 2010, J AM CHEM SOC, V132, P11580, DOI 10.1021/ja102779x
   Zhang YL, 2024, GLOB ECOL CONSERV, V54, DOI 10.1016/j.gecco.2024.e03146
   Zhang Z, 2022, LAND USE POLICY, V119, DOI 10.1016/j.landusepol.2022.106219
   Zheng HN, 2022, J ENVIRON MANAGE, V316, DOI 10.1016/j.jenvman.2022.115206
NR 61
TC 1
Z9 1
U1 35
U2 35
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD JAN
PY 2025
VL 170
AR 112980
DI 10.1016/j.ecolind.2024.112980
EA DEC 2024
PG 14
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA R3W2Z
UT WOS:001390786700001
OA gold
DA 2025-04-22
ER

PT J
AU Yang, QT
   Zhang, SL
   Dai, Q
   Yao, R
AF Yang, Quntao
   Zhang, Shuliang
   Dai, Qiang
   Yao, Rui
TI Assessment of Community Vulnerability to Different Types of Urban
   Floods: A Case for Lishui City, China
SO SUSTAINABILITY
LA English
DT Article
DE urban flood; vulnerability; community; fluvial flood; pluvial flood;
   compound flooding
ID SOCIAL VULNERABILITY; RISK-MANAGEMENT; FRAMEWORK; MODEL; RESILIENCE;
   PROJECTIONS; INUNDATION; BENEFITS; RAINFALL; AREAS
AB Urban flooding is a severe and pervasive hazard caused by climate change, urbanization, and limitations of municipal drainage systems. Cities face risks from different types of floods, depending on various geographical, environmental, and hydrometeorological conditions. In response to the growing threat of urban flooding, a better understanding of urban flood vulnerability is needed. In this study, a comprehensive method was developed to evaluate the vulnerability of different types of urban floods. First, a coupled urban flood model was built to obtain the extent of influence of various flood scenarios caused by rainfall and river levee overtopping. Second, an assessment framework for urban flood vulnerability based on an indicator method was used to evaluate the vulnerability in different flood hazard scenarios. Finally, the method was applied to Lishui City, China, and the distribution and pattern of urban flood vulnerability were studied. The results highlight the spatial variability of flooding and the vulnerability distributions of different types of urban floods. Compound floods were identified to cause more severe effects in the urban areas.
C1 [Yang, Quntao; Zhang, Shuliang; Dai, Qiang; Yao, Rui] Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China.
   [Yang, Quntao; Zhang, Shuliang; Dai, Qiang; Yao, Rui] Minist Educ, Key Lab VGE, Nanjing 210023, Peoples R China.
C3 Nanjing Normal University
RP Zhang, SL (corresponding author), Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China.; Zhang, SL (corresponding author), Minist Educ, Key Lab VGE, Nanjing 210023, Peoples R China.
EM yang_1990@outlook.com; zhangshuliang@njnu.edu.cn; q.dai@bristol.ac.uk;
   yaorui1226@163.com
RI Li, Li/AEM-3636-2022; Dai, Qiang/KIA-2507-2024
OI Yang, Quntao/0000-0002-8956-4384
FU National Natural Science Foundation of China [41771424, 41871299]
FX This research was funded by the National Natural Science Foundation of
   China, grant numbers 41771424 and 41871299.
CR Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   [Anonymous], 2018, Hydrol. Earth Syst. Sci. Discuss, DOI DOI 10.5194/HESS-2018-132
   Armas I, 2013, NAT HAZARD EARTH SYS, V13, P1481, DOI 10.5194/nhess-13-1481-2013
   Aroca-Jimenez E, 2017, NAT HAZARD EARTH SYS, V17, P1541, DOI 10.5194/nhess-17-1541-2017
   Bates P., 2013, LISFLOOD FP USER MAN
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Chang SE, 2018, APPL GEOGR, V91, P81, DOI 10.1016/j.apgeog.2017.12.017
   Chen AS, 2010, WATER SCI TECHNOL, V62, P1491, DOI 10.2166/wst.2010.486
   Chen AS, 2016, URBAN WATER J, V13, P830, DOI 10.1080/1573062X.2015.1041991
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   De Smith MJ., 2018, Geospatial analysis: a comprehensive guide to principles, techniques and software tools, V6th ed.
   Frazier TG, 2014, APPL GEOGR, V51, P158, DOI 10.1016/j.apgeog.2014.04.004
   Ghajari YE, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071274
   Gigovic L, 2017, WATER-SUI, V9, DOI 10.3390/w9060360
   Gironás J, 2010, ENVIRON MODELL SOFTW, V25, P813, DOI 10.1016/j.envsoft.2009.11.009
   Hao ZC, 2018, WATER-SUI, V10, DOI 10.3390/w10060718
   Hardy RD, 2018, APPL GEOGR, V91, P10, DOI 10.1016/j.apgeog.2017.12.019
   Hizbaron DR, 2018, APPL GEOGR, V97, P212, DOI 10.1016/j.apgeog.2018.06.012
   Hu SS, 2017, NAT HAZARDS, V87, P1525, DOI 10.1007/s11069-017-2828-0
   Khajehei S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-019-57349-z
   Kittipongvises S, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101612
   Leandro J, 2016, WATER SCI TECHNOL, V73, P3017, DOI 10.2166/wst.2016.171
   Lins-de-Barros FM, 2017, OCEAN COAST MANAGE, V149, P1, DOI 10.1016/j.ocecoaman.2017.09.007
   Maleki R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061862
   Martins R, 2018, J FLOOD RISK MANAG, V11, pS717, DOI 10.1111/jfr3.12244
   Mignot E, 2019, J HYDROL, V568, P334, DOI 10.1016/j.jhydrol.2018.11.001
   Muthusamy M, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050577
   de Andrade MMN, 2018, SCI TOTAL ENVIRON, V630, P903, DOI 10.1016/j.scitotenv.2018.02.271
   Oh KY, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071103
   Paprotny D, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04253-1
   Parry ML, 2007, CLIMATE CHANGE 2007, V4
   Patra JP, 2016, PROC TECH, V24, P93, DOI 10.1016/j.protcy.2016.05.014
   Programme U.N.D, 2007, MEAS HUM DEV PRIM UN
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Sadiq AA, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101327
   Tanaka T, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124706
   Tapia C, 2017, ECOL INDIC, V78, P142, DOI 10.1016/j.ecolind.2017.02.040
   Thorne CR, 2018, J FLOOD RISK MANAG, V11, pS960, DOI 10.1111/jfr3.12218
   Tsai J, 2019, AGENT BASED COMPUTIN
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Tyler J, 2019, NAT HAZARDS, V96, P1223, DOI 10.1007/s11069-019-03606-3
   Wahl T, 2015, NAT CLIM CHANGE, V5, P1093, DOI [10.1038/nclimate2736, 10.1038/NCLIMATE2736]
   Ward PJ, 2017, NAT CLIM CHANGE, V7, P642, DOI [10.1038/NCLIMATE3350, 10.1038/nclimate3350]
   Weis SWM, 2016, CLIMATIC CHANGE, V136, P615, DOI 10.1007/s10584-016-1642-0
   Wu WY, 2018, J GEOPHYS RES-OCEANS, V123, P2461, DOI 10.1002/2017JC013472
   Wu XS, 2017, J HYDROL, V547, P428, DOI 10.1016/j.jhydrol.2017.02.020
   Zhu XH, 2019, HYDROL EARTH SYST SC, V23, P3353, DOI 10.5194/hess-23-3353-2019
   Ziegler AD, 2012, NATURE, V481, P145, DOI 10.1038/481145b
NR 48
TC 10
Z9 12
U1 21
U2 168
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2020
VL 12
IS 19
AR 7865
DI 10.3390/su12197865
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA OO1VK
UT WOS:000587173900001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Deignan, LK
   McDougald, D
AF Deignan, Lindsey K.
   McDougald, Diane
TI Differential Response of the Microbiome of Pocillopora acuta to
   Reciprocal Transplantation Within Singapore
SO MICROBIAL ECOLOGY
LA English
DT Article
DE Urban reef; Coral resilience; Coral microbiology; Coral microbiome
ID BACTERIAL COMMUNITIES; CORALS; DYNAMICS; MUCUS; RESILIENCE; DIVERSITY;
   STABILITY; SEQUENCES; ABUNDANCE; PATTERNS
AB As corals continue to decline globally, particularly due to climate change, it is vital to understand the extent to which their microbiome may confer an adaptive resilience against environmental stress. Corals that survive on the urban reefs of Singapore are ideal candidates to study the association of scleractinians with their microbiome, which in turn can inform reef conservation and management. In this study, we monitored differences in the microbiome of Pocillopora acuta colonies reciprocally transplanted between two reefs, Raffles and Kusu, within the Port of Singapore, where corals face intense anthropogenic impacts. Pocillopora acuta had previously been shown to host distinct microbial communities between these two reefs. Amplicon sequencing (16S rRNA) was used to assess the coral microbiomes at 1, 2, 4, and 10 days post-transplantation. Coral microbiomes responded rapidly to transplantation, becoming similar to those of the local corals at the destination reef within one day at Raffles and within two days at Kusu. Elevated nitrate concentrations were detected at Raffles for the duration of the study, potentially influencing the microbiome's response to transplantation. The persistence of corals within the port of Singapore highlights the ability of corals to adapt to stressful environments. Further, coral resilience appears to coincide with a dynamic microbiome which can undergo shifts in composition without succumbing to dysbiosis.
C1 [Deignan, Lindsey K.; McDougald, Diane] Nanyang Technol Univ, Singapore Ctr Environm Life Sci Engn, 60 Nanyang Dr,SBS-01N-27, Singapore 637551, Singapore.
   [McDougald, Diane] Univ Technol Sydney, iThree Inst, Sydney, NSW 2007, Australia.
C3 Nanyang Technological University; University of Technology Sydney
RP Deignan, LK (corresponding author), Nanyang Technol Univ, Singapore Ctr Environm Life Sci Engn, 60 Nanyang Dr,SBS-01N-27, Singapore 637551, Singapore.
EM Ldeignan@ntu.edu.sg
RI McDougald, Diane/AAF-4799-2020; McDougald, Diane/B-5564-2009
OI McDougald, Diane/0000-0001-5827-8441
FU Marine Research and Development Program from the Singapore National
   Research Foundation [MSRDP-03]; Ministry of Education Singapore
FX This project was funded by the Marine Research and Development Program
   (MSRDP-03) from the Singapore National Research Foundation and the
   Ministry of Education Singapore under its Research Centre of Excellence
   Program to the Singapore Centre for Environmental Life Sciences
   Engineering, Nanyang Technological University.
CR Ainsworth TD, 2015, ISME J, V9, P2261, DOI 10.1038/ismej.2015.39
   Apprill AM, 2007, MOL ECOL, V16, P1127, DOI 10.1111/j.1365-294X.2006.03214.x
   Bauman AG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127874
   Blackall LL, 2015, MOL ECOL, V24, P5330, DOI 10.1111/mec.13400
   Bourne DG, 2016, ANNU REV MICROBIOL, V70, P317, DOI 10.1146/annurev-micro-102215-095440
   Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
   Casey JM, 2015, SCI REP-UK, V5, DOI 10.1038/srep11903
   Chénard C, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52648-x
   Chou LM, 2019, WORLD SEAS: AN ENVIRONMENTAL EVALUATION, VOL II: THE INDIAN OCEAN TO THE PACIFIC, 2ND EDITION, P539, DOI 10.1016/B978-0-08-100853-9.00031-2
   Claar DC, 2020, MOL ECOL, V29, P2477, DOI 10.1111/mec.15494
   Davis NM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0605-2
   Epstein HE, 2019, CORAL REEFS, V38, P373, DOI 10.1007/s00338-019-01783-y
   Fong J, 2020, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00831
   Frias-Lopez J, 2003, APPL ENVIRON MICROB, V69, P2409, DOI 10.1128/AEM.69.4.2409-2413.2003
   Glasl B, 2016, ISME J, V10, P2280, DOI 10.1038/ismej.2016.9
   Grottoli AG, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191156
   Guest JR, 2016, SCI REP-UK, V6, DOI 10.1038/srep36260
   Hadaidi G, 2017, SCI REP-UK, V7, DOI 10.1038/srep45362
   Heery EC, 2018, MAR POLLUT BULL, V135, P654, DOI 10.1016/j.marpolbul.2018.07.041
   Hernandez-Agreda A, 2018, MBIO, V9, DOI 10.1128/mBio.00812-18
   Holmes I, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030126
   KAHANE S, 1993, FEMS MICROBIOL LETT, V109, P329, DOI 10.1016/0378-1097(93)90041-Y
   Koren O, 2006, APPL ENVIRON MICROB, V72, P5254, DOI 10.1128/AEM.00554-06
   Leite DCA, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00833
   Marchioro GM, 2020, PEERJ, V8, DOI 10.7717/peerj.9644
   McDevitt-Irwin JM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00262
   Morgan M., 2020, DirichletMultinomial: Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data
   Murali A, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0521-5
   Narum SR, 2006, CONSERV GENET, V7, P783, DOI 10.1007/s10592-005-9056-y
   Ng CSL, 2019, CORAL REEFS, V38, P1133, DOI 10.1007/s00338-019-01852-2
   Norström AV, 2016, FRONT ECOL ENVIRON, V14, P490, DOI 10.1002/fee.1427
   Pandolfi JM, 2003, SCIENCE, V301, P955, DOI 10.1126/science.1085706
   Peixoto RS, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00341
   Pogoreutz C, 2018, ECOL EVOL, V8, P2240, DOI 10.1002/ece3.3830
   Pollock FJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07275-x
   Poquita-Du RC, 2019, MAR BIODIVERS, V49, P1727, DOI 10.1007/s12526-019-00939-x
   Röthig T, 2020, CORAL REEFS, V39, P649, DOI 10.1007/s00338-020-01938-2
   Sin TM, 2016, REG STUD MAR SCI, V8, P331, DOI 10.1016/j.rsma.2016.01.011
   Speare L, 2020, MOL ECOL, V29, P2334, DOI 10.1111/mec.15497
   Suggett DJ, 2017, TRENDS ECOL EVOL, V32, P735, DOI 10.1016/j.tree.2017.07.013
   Sussman M, 2006, DIS AQUAT ORGAN, V69, P111, DOI 10.3354/dao069111
   Sweet MJ, 2017, CORAL REEFS, V36, P815, DOI 10.1007/s00338-017-1572-y
   van de Water JAJM, 2017, MICROB ECOL, V73, P466, DOI 10.1007/s00248-016-0858-x
   Vouga M, 2017, PATHOG DIS, V75, DOI 10.1093/femspd/ftw115
   Wainwright BJ, 2019, CORAL REEFS, V38, P1097, DOI 10.1007/s00338-019-01837-1
   Wang L, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00101
   Webster NS, 2017, ISME J, V11, P2167, DOI 10.1038/ismej.2017.66
   Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
   Zaneveld JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.121
   Ziegler M, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14213
NR 50
TC 15
Z9 16
U1 1
U2 19
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0095-3628
EI 1432-184X
J9 MICROB ECOL
JI Microb. Ecol.
PD APR
PY 2022
VL 83
IS 3
BP 608
EP 618
DI 10.1007/s00248-021-01793-w
EA JUN 2021
PG 11
WC Ecology; Marine & Freshwater Biology; Microbiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology;
   Microbiology
GA 0G6ID
UT WOS:000663505600001
PM 34148107
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Straub, AM
   Gray, BJ
   Ritchie, LA
   Gill, DA
AF Straub, Adam M.
   Gray, Benjamin J.
   Ritchie, Liesel Ashley
   Gill, Duane A.
TI Cultivating disaster resilience in rural Oklahoma: Community
   disenfranchisement and relational aspects of social capital
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Rural communities; Social capital; Vulnerability; Resilience; Disaster
   preparedness; Qualitative research
ID VULNERABILITY; FRAMEWORK
AB In the last two decades, social capital has become a crucial concept in the study of vulnerability and resilience in disaster research While most of this scholarly attention has focused on the recovery phase of the disaster management cycle, this article focuses on the often neglected phase of disaster preparedness. Using more than 180 in-depth interviews with community members involved in emergency management conducted from 2014 to 2018, we explore the relationship between various forms of social capital in communities across the state of Oklahoma. Here, stakeholder perceptions describe a deteriorating relationship between rural communities and urban centers due to failed expectations of trust and reciprocity. Oklahoma's divisive social arrangement is the historical product of geographic distance, a statewide financial crisis, and conservative economic policy. This collective sense of community disenfranchisement creates social solidarity across rural Oklahoma, paving the way for the formation of informal networks that stitch together resources in order to cultivate resilience. The findings suggest that while these rural communities do become more resilient by forming new inter-community relationships, their insulation from diverse social networks in urban areas makes them more vulnerable. This research enhances understanding of the relational dimensions of social capital. Additionally, it gleans perspective on how emergency management in financially strapped, rural communities use social relationships to navigate economic challenges in a geography under constant threat from a variety of natural hazards.
C1 [Straub, Adam M.] Oklahoma State Univ, Dept Sociol, 431 Murray, Stillwater, OK 74078 USA.
   [Gray, Benjamin J.] Univ Montana, WA Franke Coll Forestry & Conservat, Dept Soc & Conservat, Missoula, MT 59812 USA.
   [Ritchie, Liesel Ashley; Gill, Duane A.] Oklahoma State Univ, Dept Sociol, Stillwater, OK 74078 USA.
C3 Oklahoma State University System; Oklahoma State University -
   Stillwater; University of Montana System; University of Montana;
   Oklahoma State University System; Oklahoma State University - Stillwater
RP Straub, AM (corresponding author), Oklahoma State Univ, Dept Sociol, 431 Murray, Stillwater, OK 74078 USA.
EM adam.straub@okstate.edu
RI Gray, Benjamin/G-1482-2010
OI Straub, Adam/0000-0002-4311-6084; RITCHIE, LIESEL/0000-0002-9960-3260;
   Gill, Duane/0000-0002-0262-0241
FU National Science Foundation [01A-1301789]
FX This research is based on work supported by the National Science
   Foundation under Grant No. 01A-1301789. Any opinions, findings, and
   conclusions or recommendations expressed in this paper are those of the
   authors and do not necessarily reflect the views of our funders. Last,
   we are grateful to the people of Oklahoma for their time, generosity,
   and investment they have made in this project.
CR [Anonymous], 2013, PATH STORM
   [Anonymous], 2000, BOWLING ALONE AM DEC
   [Anonymous], 2004, AT RISK
   Baker Jonathan, 2018, FAILURE BUDGET DEAL
   Bolin B., 2018, HDB DISASTER RES, P181, DOI [DOI 10.1007/978-3-319-63254-4_10, 10.1007/978-3-319-63254-410]
   Bourdieu P., 1986, HDB THEORY RES SOCIO
   Bourdieu Pierre., 2005, SOCIAL STRUCTURES EC
   Bourdieu Pierre., 1977, OUTLINE THEORY PRACT, DOI DOI 10.1017/CBO9780511812507
   Burt R. S., 1992, Structural holes
   Cobb Russel, 2017, GUARDIAN
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Cutter SL, 2006, ANN AM ACAD POLIT SS, V604, P102, DOI 10.1177/0002716205285515
   Cutter SL, 2003, ANN ASSOC AM GEOGR, V93, P1, DOI 10.1111/1467-8306.93101
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Drabek T.E., 1986, HUMAN SYSTEM RESPONS
   Edelstein M.R., 1984, Impact Assessment Bulletin, V3, P7, DOI [10.1080/07349165.1984.9725536, DOI 10.1080/07349165.1984.9725536]
   Federal Emergency Management Agency (FEMA), 2010, HAZ MIT ASS UN GUID
   Flora CorneliaButler., 2013, RURAL COMMUNITIES LE, V4th
   Gill DA, 2007, SOCIOL SPECTRUM, V27, P613, DOI 10.1080/02732170701574941
   Granovetter M.S., 1977, SOC NETWORKS, P347, DOI [10.1016/B978-0-12-442450-0.50025-0, DOI 10.1016/B978-0-12-442450-0.50025-0]
   Hanifan LJ, 1916, ANN AM ACAD POLIT SS, V67, P130, DOI 10.1177/000271621606700118
   Jaworski Adam., 2014, The Discourse Reader
   Kendra JamesM., 2018, HDB DISASTER RES, VSecond, P87, DOI DOI 10.1007/978-3-319-63254-45
   Kozel V., 2000, Integrating Quantitative and Qualitative Research in Development Projects
   Liu SD, 2016, SOCIOL THEOR, V34, P62, DOI 10.1177/0735275116632556
   Meyer MichelleA., 2018, HDB DISASTER RES, P263, DOI [DOI 10.1007/978-3-319-63254-4_14, 10.1007/978-3-319-63254-4_14/COVER, DOI 10.1007/978-3-319-63254-4_14/COVER]
   Morrow B.H., 1997, Hurricane Andrew: Ethnicity, Gender and the Sociology of Disasters, P226, DOI DOI 10.4324/9780203351628-12
   Narayan D., 1999, BONDS BRIDGES SOCIAL
   Oklahoma Department of Commerce (ODC), 2014, WORKF DAT
   Oklahoma Department of Emergency Management (OEM), 2018, OKL EM MAN GRANTS
   Paxton P, 1999, AM J SOCIOL, V105, P88, DOI 10.1086/210268
   Portes A, 1998, ANNU REV SOCIOL, V24, P1, DOI 10.1146/annurev.soc.24.1.1
   Ritchie L.A., 2011, CONSIDERING COMMUNIT
   Ritchie L. A., 2004, THESIS
   Ritchie LA, 2007, SOCIOL SPECTRUM, V27, P103, DOI 10.1080/02732170601001037
   Ritchie LA, 2013, SOC NATUR RESOUR, V26, P655, DOI 10.1080/08941920.2012.690066
   Ritchie LieselA., 2018, DISASTER RESILIENCY, P112
   Rygel L., 2006, MITIG ADAPT STRAT GL, V11, P741, DOI [10.1007/s11027-006-0265-6, DOI 10.1007/S11027-006-0265-6]
   Schreier M., 2012, Qualitative Content Analysis in Practice
   Strauss L., 2015, BASICS QUALITATIVE R
   Szreter S, 2002, THEOR SOC, V31, P573, DOI 10.1023/A:1021300217590
   Tierney K, 2015, AM BEHAV SCI, V59, P1327, DOI 10.1177/0002764215591187
   Tierney Kathleen, 2014, SOCIAL ROOTS RISK PR, P160
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   WALDINGER R, 1995, ETHNIC RACIAL STUD, V18, P555, DOI 10.1080/01419870.1995.9993879
   Woolcock M, 2000, WORLD BANK RES OBSER, V15, P225, DOI 10.1093/wbro/15.2.225
   WOOLCOCK M, 2001, CANADIAN J POLICY RE, V2, P65
NR 48
TC 53
Z9 63
U1 4
U2 54
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
J9 J RURAL STUD
JI J. Rural Stud.
PD JAN
PY 2020
VL 73
BP 105
EP 113
DI 10.1016/j.jrurstud.2019.12.010
PG 9
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA KM2XR
UT WOS:000513986600011
OA Bronze
DA 2025-04-22
ER

PT J
AU Jia, C
   Cao, ZN
   Hu, JK
   Wang, XD
   Zhao, L
   Zhi, JJ
   Liu, WB
   Zhang, GH
   Ding, SL
   Li, Y
   Lin, LZ
AF Jia, Cai
   Cao, Zini
   Hu, Jinkang
   Wang, Xudong
   Zhao, Long
   Zhi, Junjun
   Liu, Wangbing
   Zhang, Gaohua
   Ding, Shilong
   Li, Yan
   Lin, Luzhou
TI Analysis of the integrated role of the Yangtze River Delta based on the
   industrial economic resilience of cities during COVID-19
SO SCIENTIFIC REPORTS
LA English
DT Article
ID SEMANTIC SEGMENTATION; URBAN AGGLOMERATION; CHINA; GROWTH; IMAGES;
   IMPACT; CITY
AB The enhancement of regional comprehensive development ability is significantly impacted by the study on the implementation effect of regional integration strategies. The integration strategy's impact on urban development during COVID-19 in the Yangtze River Delta(YRD) is unclear. According to prior industrial transfer theory, Hefei, Anhui's capital, is difficult to transfer industries, and other YRD cities push industry integration in Anhui. This study employs the theory of economic and land resource use to examine the resilience of the industrial economy during an epidemic by using industrial land as a representation of industrial economic development. The three cities in Anhui-Wuhu, Maanshan, and Chuzhou (Wu-ma-Chu) were selected as the research area. The study employed the UNet deep learning method to detect the land use types in Wu-ma-Chu. The land transfer matrix and the standard deviation ellipse were utilised to research the alterations in industrial land use and the spatial distribution of industrial output value, respectively. The results showed that the industrial land in Machu continued to grow during the outbreak, highlighting the resilience of the region's industrial economy. During 2019-2022, the elliptical ring of industrial output value is distributed in Nanjing, revealing the radiating role of Nanjing in integrating into the integration of the YRD. This confirms China's YRD integration strategy, strengthens regional economic resilience, and encourages coordinated regional economic development.
C1 [Jia, Cai; Cao, Zini; Wang, Xudong; Zhao, Long; Zhi, Junjun] Anhui Normal Univ, Sch Geog & Tourism, Huajin Campus,South 189 Jiuhua Rd, Wuhu 241002, Peoples R China.
   [Jia, Cai; Cao, Zini; Wang, Xudong; Zhao, Long; Zhi, Junjun] Engn Technol Res Ctr Resources Environm & GIS, Wuhu 241008, Peoples R China.
   [Lin, Luzhou] Beijing Foreign Studies Univ, Acad Reg & Global Governance, Beijing 100089, Peoples R China.
   [Hu, Jinkang] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Hu, Jinkang] Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China.
   [Liu, Wangbing; Zhang, Gaohua; Ding, Shilong; Li, Yan] Anhui Prov Terr Space Planning Inst, Hefei 230601, Anhui, Peoples R China.
C3 Anhui Normal University; Beijing Foreign Studies University; Chinese
   Academy of Sciences; Aerospace Information Research Institute, CAS;
   Chinese Academy of Sciences; International Research Center of Big Data
   for Sustainable Development Goals
RP Lin, LZ (corresponding author), Beijing Foreign Studies Univ, Acad Reg & Global Governance, Beijing 100089, Peoples R China.
EM linluzhou@bfsu.edu.cn
RI Zhang, Gaohua/LXU-8556-2024; Zhi, Junjun/GVU-3721-2022
FU The National Natural Science Foundation of China [42271060]; National
   Natural Science Foundation of China [2208085MD91]; Natural Science
   Foundation of Anhui province [21YJCZH243]; MOE (Ministry of Education in
   China) Youth Foundation Project of Humanities and Social Sciences
FX This research was funded by the National Natural Science Foundation of
   China (grant no.42271060), the Natural Science Foundation of Anhui
   province (no.2208085MD91), and the MOE (Ministry of Education in China)
   Youth Foundation Project of Humanities and Social Sciences
   (no.21YJCZH243).
CR Awad MM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105548
   Bakkestuen V, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15051203
   Cao XZ, 2023, LAND-BASEL, V12, DOI 10.3390/land12071463
   Cao XM, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e24846
   Chen H, 2022, J CLEAN PROD, V361, DOI 10.1016/j.jclepro.2022.132235
   Chen Y., 2016, Research for Classification of High Spatial Resolution Remotely Sensed Imagery
   Diakogiannis FI, 2020, ISPRS J PHOTOGRAMM, V162, P94, DOI 10.1016/j.isprsjprs.2020.01.013
   Du Y., 2022, J. Anhui Univ. (Philosophy and Social Sciences Edition), V46, P145, DOI 10.13796/j.cnki.1001-5019.2022.03.015
   Ferchichi A, 2022, ECOL INFORM, V68, DOI 10.1016/j.ecoinf.2022.101552
   General Office of the State Council, 2019, Outline of the Integrated Regional Development of the Yangtze River Delta
   Ha L, 2020, J GEOGR SCI, V30, P1117, DOI 10.1007/s11442-020-1773-0
   He CF, 2014, URBAN STUD, V51, P2880, DOI 10.1177/0042098013513649
   [贺浩 He Hao], 2019, [测绘学报, Acta Geodetica et Cartographica Sinica], V48, P330
   [何直蒙 He Zhimeng], 2022, [测绘学报, Acta Geodetica et Cartographica Sinica], V51, P457
   Huang Y., 2020, ACAD J BUS MANAG, V4, P78, DOI DOI 10.25236/AJBM.2020.020409
   Isbaex C., 2021, INTECHOPEN
   Jiang JL, 2022, LAND-BASEL, V11, DOI 10.3390/land11040586
   Jiao LB, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12122001
   AnbuDevi MKA, 2022, DIAGNOSTICS, V12, DOI 10.3390/diagnostics12123064
   Li SJ, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15040920
   Li Z., 2020, J. East China Normal Univ. (Humanities and Social Sciences), V5, P146
   Lin N, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15184488
   Liu M, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107562
   Liu YH, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032072
   Liu Z., 2023, Integration Development in the China Yangtze River Delta, P18, DOI [10.4324/9781003455943-2, DOI 10.4324/9781003455943-2]
   [乔伟峰 Qiao Weifeng], 2013, [地理研究, Geographical Research], V32, P1497
   Qin XH, 2023, GEOGR REV, V113, P359, DOI 10.1080/00167428.2021.2021780
   Qiu WY, 2023, IEEE GEOSCI REMOTE S, V20, DOI 10.1109/LGRS.2023.3243609
   Shao QL, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236816
   Sithole SM, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e27275
   Solórzano JV, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13183600
   Su D, 2022, LAND-BASEL, V11, DOI 10.3390/land11040574
   Tian CH, 2021, LAND-BASEL, V10, DOI 10.3390/land10090960
   Tian YS, 2022, HABITAT INT, V130, DOI 10.1016/j.habitatint.2022.102695
   Tian YY, 2019, J CLEAN PROD, V235, P751, DOI 10.1016/j.jclepro.2019.06.167
   Tong XY, 2018, INT GEOSCI REMOTE SE, P3599, DOI 10.1109/IGARSS.2018.8518389
   van der Veen A, 2001, ENVIRON MODEL ASSESS, V6, P145, DOI 10.1023/A:1011535221344
   Wang HQ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811777
   Wang JZ, 2022, COMPUT ENVIRON URBAN, V97, DOI 10.1016/j.compenvurbsys.2022.101855
   Wang LW, 2018, HABITAT INT, V80, P70, DOI 10.1016/j.habitatint.2018.08.005
   Wang XL, 2022, CHINA ECON REV, V74, DOI 10.1016/j.chieco.2022.101806
   WIEGAND CL, 1991, REMOTE SENS ENVIRON, V35, P105, DOI 10.1016/0034-4257(91)90004-P
   Wu F, 2021, J GEOGR SCI, V31, P565, DOI 10.1007/s11442-021-1859-3
   Wu JW, 2023, LAND-BASEL, V12, DOI 10.3390/land12020470
   Wu Q, 2019, INT J REMOTE SENS, V40, P2410, DOI 10.1080/01431161.2018.1483090
   [徐涵秋 Xu Hanqiu], 2005, [地理研究, Geographical Research], V24, P311
   Xu WN, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20154064
   Xu ZX, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212818
   Yan YR, 2023, SYSTEMS-BASEL, V11, DOI 10.3390/systems11080401
   Yang HZ, 2023, OCEAN COAST MANAGE, V232, DOI 10.1016/j.ocecoaman.2022.106426
   Yang XD, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105270
   Yang YT, 2019, LAND USE POLICY, V81, P657, DOI 10.1016/j.landusepol.2018.11.016
   Ye C, 2019, HABITAT INT, V83, P20, DOI 10.1016/j.habitatint.2018.10.010
   Yin LZ, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15092261
   Yu J, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14051128
   Yuan J, 2020, IOP C SER EARTH ENV, V631, DOI 10.1088/1755-1315/631/1/012077
   Zeng G., 2021, J. East China Normal Univ. (Humanities and Social Sciences), V53, P226
   Zhang D, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106841
   Zhang XL, 2020, J TRANSP GEOGR, V82, DOI 10.1016/j.jtrangeo.2019.102600
   Zhang YZ, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9100611
   Zhang Y, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15215148
   Zhao WX, 2018, CITIES, V77, P158, DOI 10.1016/j.cities.2018.01.008
NR 62
TC 0
Z9 0
U1 8
U2 12
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUL 26
PY 2024
VL 14
IS 1
AR 17180
DI 10.1038/s41598-024-68357-z
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA ZZ5A9
UT WOS:001279108900024
PM 39060630
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Taylor, A
   Jack, C
   McClure, A
   Bharwani, S
   Ilunga, R
   Kavonic, J
AF Taylor, Anna
   Jack, Christopher
   McClure, Alice
   Bharwani, Sukaina
   Ilunga, Rebecca
   Kavonic, Jessica
TI Understanding and supporting climate-sensitive decision processes in
   southern African cities
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID CHANGE ADAPTATION; LOCAL-GOVERNMENT; GOVERNANCE; POLITICS; DURBAN;
   URBANIZATION; EVERYDAY; SERVICES; CONTEXT; LEVEL
AB For cities to develop in ways that are sustainable, climate resilient and equitable, considerations of climate variability and change must factor into planning, investment and management decisions. Doing so requires robust, actionable climate information and the capabilities and mechanisms to integrate climate information into complex technical and political urban decision-making processes, with key roles for local governments and universities. Southern African cities are marked by rapid urbanization, weak economies, severe infrastructure deficits, high levels of inequality and informality, and undercapacitated governments and scientific institutions. A growing number of co-production processes supported by decision-support tools, underway in the region, create spaces for engagement and learning about how climate risk features in urban decision-making processes. This paper reviews recent research on how climate information is brought to bear on key city development and urban management decisions in southern African cities, with a focus on the key actors and partnerships involved, illustrated through the cases of Lusaka and Durban. It challenges the emphasis on co-producing decision-support tools, arguing in favor of using such tools in the pursuit of engagement and collaboration across formal and informal actors that shifts the power dynamics of decision making shaping southern African cities.
C1 [Taylor, Anna] Univ Cape Town, African Climate & Dev Initiat, Rondebosch, South Africa.
   [Jack, Christopher; McClure, Alice] Univ Cape Town, Climate Syst Anal Grp, Rondebosch, South Africa.
   [Bharwani, Sukaina] Oxford Ctr, Stockholm Environm Inst, Oxford, England.
   [Ilunga, Rebecca] Pegasys, Cape Town, South Africa.
   [Kavonic, Jessica] ICLEI Africa, Cape Town, South Africa.
C3 University of Cape Town; University of Cape Town; University of Oxford
RP Taylor, A (corresponding author), Univ Cape Town, African Climate & Dev Initiat, Rondebosch, South Africa.
EM anna.taylor@uct.ac.za
RI Taylor, Anna/GYU-1386-2022; Jack, Christopher/B-7926-2014
OI Bharwani, Sukaina/0000-0002-0152-4565; McClure,
   Alice/0000-0003-1222-2025; Taylor, Anna/0000-0001-6760-6080; Jack,
   Christopher/0000-0002-0936-7277
FU U.K. Department for International Development/Natural Environment
   Research Council [NE/M020061/1]; LIRA 2030 Africa Programme by the
   International Council for Science (ICSU); Network of African Science
   Academies (NASAC); International Social Science Council (ISSC); Swedish
   International Development Cooperation Agency (Sida) [LIRA2030-GR08/18];
   NERC [NE/M020061/1, NE/M020347/1] Funding Source: UKRI
FX This work was supported by the U.K. Department for International
   Development/Natural Environment Research Council [grant number
   NE/M020061/1] ; the LIRA 2030 Africa Programme, which is implemented by
   the International Council for Science (ICSU) in part-nership with the
   Network of African Science Academies (NASAC) and the International
   Social Science Council (ISSC) , with support from the Swedish
   International Development Cooperation Agency (Sida) [grant number
   LIRA2030-GR08/18] .
CR Ahlers R, 2014, WATER ALTERN, V7, P1
   Ambole A, 2020, DES ISSUES, V36, P28, DOI 10.1162/desi_a_00588
   [Anonymous], 2019, SUSTAIN SCI, DOI DOI 10.1007/s11625-018-0606-x
   Battersby J, 2020, J URBAN HEALTH, V97, P226, DOI 10.1007/s11524-020-00429-7
   Burgin L, INTEGRATING EV UNPUB
   Caldeira TPR, 2017, ENVIRON PLANN D, V35, P3, DOI 10.1177/0263775816658479
   Carr ER, 2020, CLIM DEV, V12, P23, DOI 10.1080/17565529.2019.1596061
   Chirisa I, 2016, DEV SO AFR, V33, P113, DOI 10.1080/0376835X.2015.1113122
   Cirolia LR, 2020, HABITAT INT, V104, DOI 10.1016/j.habitatint.2020.102233
   Cirolia LR, 2019, URBAN STUD, V56, P594, DOI 10.1177/0042098017753326
   Conway D, 2017, NAT ENERGY, V2, P946, DOI 10.1038/s41560-017-0037-4
   Crush JS, 2011, DEV SO AFR, V28, P527, DOI 10.1080/0376835X.2011.605571
   Daly M, 2019, CLIMATIC CHANGE, V157, P61, DOI 10.1007/s10584-019-02510-w
   Daniels E, 2020, CLIM SERV, V19, DOI 10.1016/j.cliser.2020.100181
   Dodman D, 2019, ENVIRON URBAN, V31, P3, DOI 10.1177/0956247819830004
   DOUWES J, 2018, THESIS U KWAZULU NAT
   du Plessis A, 2014, J AFR LAW, V58, P145, DOI 10.1017/S0021855314000047
   Fisher S, 2019, ENVIRON POLICY GOV, V29, P235, DOI 10.1002/eet.1851
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   FRACTAL, 2019, LUS POL BRIEF LUS CI
   Fritz L, 2020, EUR J FUTURES RES, V8, DOI 10.1186/s40309-020-0161-4
   Funder M, 2019, GLOBAL ENVIRON CHANG, V55, P130, DOI 10.1016/j.gloenvcha.2019.02.007
   Hickmann T, 2019, J ENVIRON DEV, V28, P54, DOI 10.1177/1070496518819121
   Ilunga R, 2020, FRACTAL WORKING PAPE
   Jack CD, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100239
   Leck H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072542
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Lo tter D, 2018, CLIMATE INFORM NEEDS
   Long D., 2020, Urban Geography in South Africa, P139, DOI [10.1007/978-3-030-25369-1_9, DOI 10.1007/978-3-030-25369-1_9]
   Lopes J., 2020, SUSTAINABILITY CHALL, V7, P161, DOI [10.1007/978-981-15-4458-3_5, DOI 10.1007/978-981-15-4458-3_5]
   Mapunda DW, 2018, APPL GEOGR, V92, P112, DOI 10.1016/j.apgeog.2018.02.001
   Martel P., 2019, GEOGRAPHY CLIMATE CH, P355, DOI [10.1007/978-3-030-04873-019, DOI 10.1007/978-3-030-04873-019]
   Mwanza DD, 2005, WATER SCI TECHNOL, V51, P71, DOI 10.2166/wst.2005.0228
   Ndebele-Murisa MR, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0227915
   Nickson A, 2002, PAP MAK SERV WORK PO
   ODonoghue S, 2016, CITIES FINITE PLANET
   OECD/SWAC, 2020, AFR URB DYN 2020 AFR, DOI [10.1787/df11-3d6-en, DOI 10.1787/DF11-3D6-EN]
   Olver C, 2021, AREA DEV POLICY, V6, P250, DOI 10.1080/23792949.2020.1793680
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P643, DOI 10.1007/s10584-019-02404-x
   Pardoe J, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01693-8
   Pasquini L, 2020, CLIM DEV, V12, P408, DOI 10.1080/17565529.2019.1632166
   Patel Z., 2020, SUSTAINABILITY CHALL, P189, DOI DOI 10.1007/978-981-15-5358-5_8
   Pelling M, 2018, CURR OPIN ENV SUST, V31, P10, DOI 10.1016/j.cosust.2017.11.005
   Resnick D., 2019, IFPRI DISCUSSION PAP
   Resnick D, 2021, REG FED STUD, V31, P139, DOI 10.1080/13597566.2020.1774371
   Resnick D, 2014, DEV POLICY REV, V32, ps3, DOI 10.1111/dpr.12066
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   Roberts D, 2020, ENVIRON URBAN, V32, P547, DOI 10.1177/0956247820946555
   Roberts D, 2013, ENVIRON URBAN, V25, P299, DOI 10.1177/0956247813500904
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Rosendo S, 2018, MAR POLICY, V87, P29, DOI 10.1016/j.marpol.2017.10.001
   Rubin MW, 2020, URBAN GEOGR, V41, P1260, DOI 10.1080/02723638.2020.1837510
   Satterthwaite D., 2018, Int. J. Disaster Risk Reduction, V26, P1
   Scott D, 2019, FRACTAL WORKING PAPE
   Simukonda K, 2018, WATER PRACT TECHNOL, V13, P335, DOI 10.2166/wpt.2018.046
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Smits W., 2018, African cities and the development conundrum, P55
   Taylor A., 2021, Climate Risk in Africa, DOI [10.1007/978-3-030-61160-6, DOI 10.1007/978-3-030-61160-6]
   Taylor A., 2019, Report for Cities Support Programme undertaken by African Centre for Cities
   Turnhout E, 2020, CURR OPIN ENV SUST, V42, P15, DOI 10.1016/j.cosust.2019.11.009
   Turton A. R., 2006, Development (London), V49, P22, DOI 10.1057/palgrave.development.1100269
   United Nations Department of Economic and Social Affairs Population Division, 2019, STESASERA420 UN POP
   USAID, 2019, FIN CLIM RES AFR CIT
   Vincent K, 2020, NAT CLIM CHANGE, V10, P877, DOI 10.1038/s41558-020-00910-w
   Vogel C, 2019, CLIM SERV, V15, DOI 10.1016/j.cliser.2019.100107
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Ziervogel G., 2019, MAINSTREAMING CLIMAT, P11
   Ziervogel G, 2019, REG ENVIRON CHANGE, V19, P2729, DOI 10.1007/s10113-019-01571-y
   Ziervogel G, 2019, AMBIO, V48, P494, DOI 10.1007/s13280-018-1141-9
   Ziervogel G, 2010, CLIM DEV, V2, P94, DOI 10.3763/cdev.2010.0036
NR 71
TC 11
Z9 11
U1 2
U2 10
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD AUG
PY 2021
VL 51
BP 77
EP 84
DI 10.1016/j.cosust.2021.03.006
EA APR 2021
PG 8
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA UK2WA
UT WOS:000691834100010
DA 2025-04-22
ER

PT J
AU Salvia, M
   Cornacchia, C
   Di Renzo, GC
   Braccio, G
   Annunziato, M
   Colangelo, A
   Orifici, L
   Lapenna, V
AF Salvia, M.
   Cornacchia, C.
   Di Renzo, G. C.
   Braccio, G.
   Annunziato, M.
   Colangelo, A.
   Orifici, L.
   Lapenna, V.
TI Promoting smartness among local areas in a Southern Italian region: The
   Smart Basilicata Project
SO INDOOR AND BUILT ENVIRONMENT
LA English
DT Article
DE Smart cities; Basilicata region; Smart Natural Resources; Smart Energy;
   Smart Mobility; Smart Culture and Tourism; Smart Participation
ID CITIES
AB Making cities smarter and more competitive is one of the major challenges of climate change and energy security. Smart city initiatives have arisen Europe-wide to help cities to start planning their future in a new way to become more sustainable and resilient. New business models need to be investigated to foster local business development, innovative local administrations and industries, valorize the cultural heritage and the research outcomes and promote community's participation. This transition is even more complex and necessary for sparsely populated regions with poor infrastructures in the buildings, manufacturing and transport domains and with a multi-layer local governance (e.g. Italian Towns, Provinces and Region). In this case, a widespread concept of smart city can be applied proposing systematic strategies for urban innovation with a regional-wide perspective. This paper focuses on a coordinated project aimed to promote smartness among local areas in a small region in Southern Italy (Basilicata). The Smart Basilicata' project constitutes a unique example in which, by working together, multi-layer public authorities, private enterprises, research organizations and universities drafted the basis for a regional strategy for smart-related issues.
C1 [Salvia, M.; Cornacchia, C.; Lapenna, V.] Natl Res Council Italy CNR IMAA, Inst Methodol Environm Anal, I-85050 Tito, PZ, Italy.
   [Di Renzo, G. C.] Univ Basilicata, Potenza, Italy.
   [Braccio, G.; Annunziato, M.] Italian Natl Agcy New Technol Energy & Sustainabl, Rome, Italy.
   [Colangelo, A.] Technol Earth Observat & Nat Risks TeRN Consortiu, Tito, PZ, Italy.
   [Orifici, L.] ENEL Distribuz SpA, Rome, Italy.
C3 Consiglio Nazionale delle Ricerche (CNR); Istituto di Metodologie per
   l'Analisi Ambientale (IMAA-CNR); University of Basilicata; Italian
   National Agency New Technical Energy & Sustainable Economics
   Development; ENEL SpA
RP Salvia, M (corresponding author), Natl Res Council Italy CNR IMAA, Inst Methodol Environm Anal, I-85050 Tito, PZ, Italy.
EM monica.salvia@imaa.cnr.it
RI Di Renzo, Gian/P-3819-2017; salvia, monica/B-7549-2015
OI salvia, monica/0000-0001-8989-0377
FU Italian Ministry of Education, University and Research [MIUR n.84/Ric
   2012]; Cohesion Fund of the Basilicata Regional authority
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This
   research was carried out in the framework of the project 'Smart
   Basilicata' which was approved by the Italian Ministry of Education,
   University and Research (Notice MIUR n.84/Ric 2012, PON 2007-2013 of 2
   March 2012) and was funded with the Cohesion Fund 2007-2013 of the
   Basilicata Regional authority.
CR Annunziato M, 2013, 4 FORUM GREEN CITY E
   [Anonymous], 2010, COM2010020 EUR COMM
   [Anonymous], COM2009519 EUR COMM
   [Anonymous], 2011, JOINT PROGRAMMING IN
   Barca F., 2009, An Agenda for a Reformed Cohesion Policy: A Place-Based Approach to Meeting European Union Challenges and Expectations
   Batty M, 2012, EUR PHYS J-SPEC TOP, V214, P481, DOI 10.1140/epjst/e2012-01703-3
   Canton J., 2011, Significance, V8, P53, DOI DOI 10.1111/J.1740-9713.2011.00485.X
   De Santis R, 2013, 50207 MPRA
   European Commision, 2007, COM20070723 EUR COMM
   European Commission, DIG AG EUR EUR 2020
   Forum PA., ICITY RAT 2015 CLASS
   Giffinger Rudolf., 2007, City-ranking of European medium-sized cities
   Hall R-E, 2000, P 2 INT EXT TECHN WO
   Harrison C, 2010, IBM J RES DEV, V54, DOI 10.1147/JRD.2010.2048257
   Hollands R. G., 2008, City, V12, P303, DOI [https://doi.org/10.1080/13604810802479126, DOI 10.4324/9781315178387-13, 10.1080/13604810802479126, DOI 10.1080/13604810802479126]
   Komninos N., 2011, P INT INF MAN CORP, P1
   Lazaroiu GC, 2012, ENERGY, V47, P326, DOI 10.1016/j.energy.2012.09.028
   Lee JH, 2013, TECHNOL FORECAST SOC, V80, P286, DOI 10.1016/j.techfore.2012.09.020
   Lombardi P., 2009, STRATEGIES LOCAL E G, P461, DOI 10.4018/978-1-60566-282-4.ch024
   Mozannenzadeh F., 2014, TEMA J LAND USE MOBI
   Nielsen P.S., 2013, Definition of Smart Energy City and State of the Art of 6 Transform Cities Using Key Performance Indicators Deliverable 1.2
   Nijkamp P, 2011, RED MEMORANDUM, V45, P1
   Odendaal N., 2003, Computers, Environment and Urban Systems, V27, P585, DOI 10.1016/S0198-9715(03)00016-4
   Pol O, 2012, ELEKTROTECH INFORMAT, V129, P258, DOI 10.1007/s00502-012-0010-7
   The European House-Ambrosetti on behalf of ABB, 2012, SMART CIT IT UN NELL
   Toppeta D., 2010, SMART CITY VISION IN
   Washburn D., 2010, Helping CIOs Understand "Smart City" Initiatives: Defining the Smart City, Its Drivers
NR 27
TC 14
Z9 14
U1 1
U2 51
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 1420-326X
EI 1423-0070
J9 INDOOR BUILT ENVIRON
JI Indoor Built Environ.
PD NOV
PY 2016
VL 25
IS 7
SI SI
BP 1024
EP 1038
DI 10.1177/1420326X16659328
PG 15
WC Construction & Building Technology; Engineering, Environmental; Public,
   Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering; Public, Environmental &
   Occupational Health
GA EB4SP
UT WOS:000387364100003
DA 2025-04-22
ER

PT J
AU Fava, MC
   de Macedo, MB
   Buarque, ACS
   Saraiva, AM
   Delbem, ACB
   Mendiondo, EM
AF Fava, Maria Clara
   de Macedo, Marina Batalini
   Buarque, Ana Carolina Sarmento
   Saraiva, Antonio Mauro
   Delbem, Alexandre Claudio Botazzo
   Mendiondo, Eduardo Mario
TI Linking Urban Floods to Citizen Science and Low Impact Development in
   Poorly Gauged Basins under Climate Changes for Dynamic Resilience
   Evaluation
SO WATER
LA English
DT Article
DE historical data source; flood mapping; poorly gauged catchments; citizen
   science; low impact development
ID MODEL; ADAPTATION; INUNDATION; METHODOLOGY; DRAINAGE; RAINFALL; SYSTEMS;
   SWMM; CITY
AB Cities must develop actions that reduce flood risk in the face of extreme rainfall events. In this study, the dynamic resilience of the Gregorio catchment (Sao Carlos, Brazil) was assessed. The catchment lacks environmental monitoring and suffers from recurrent floods. The resilience curves were made considering the water depth in the drainage system as the performance index, obtained by simulations with SWMM and HEC-RAS. The calibration of the flood extension was performed using citizen science data. The contribution to increasing the dynamic resilience by implementing decentralized low impact development (LID) practices was also evaluated. For this purpose, bioretention cells were added to the SWMM simulations. The resilience curves were then calculated for the current and future climate scenario, with and without LID, for return periods of 5, 10, 50, and 100 years and duration of 30, 60, and 120 min. Intensity-duration-frequency curves (IDFs) updated by the regional climate model MIROC5 for 2050 and 2100 were used. The results showed a significant improvement in the system's resilience for light storms and the current period due to LID practice interventions. Efficiencies were reduced for moderate and heavy storms with no significant drops in floodwater depth and resilience regardless of the scenario.
C1 [Fava, Maria Clara] Fed Univ Vicosa UFV, Inst Exact & Technol Sci, BR-38810000 Rio Paranaiba, Brazil.
   [de Macedo, Marina Batalini] Fed Univ Itajuba UNIFEI, Inst Nat Resources, BR-37500903 Itajuba, Brazil.
   [Buarque, Ana Carolina Sarmento; Mendiondo, Eduardo Mario] Univ Sao Paulo, Sao Carlos Sch Engn EESC, BR-13566590 Sao Carlos, Brazil.
   [Saraiva, Antonio Mauro] Univ Sao Paulo, Polytechn Sch EP, BR-05508010 Sao Paulo, Brazil.
   [Delbem, Alexandre Claudio Botazzo] Univ Sao Paulo, Inst Math & Comp Sci ICMC, BR-13566590 Sao Carlos, Brazil.
C3 Universidade de Sao Paulo; Universidade de Sao Paulo; Universidade de
   Sao Paulo
RP Fava, MC (corresponding author), Fed Univ Vicosa UFV, Inst Exact & Technol Sci, BR-38810000 Rio Paranaiba, Brazil.
EM maria.fava@ufv.br; marinamacedo@unifei.edu.br; acsbuarque@usp.br;
   saraiva@usp.br; acbd@icmc.usp.br; emm@sc.usp.br
RI Fava, Maria Clara/JTU-1982-2023; Buarque, Ana/K-4106-2018; Saraiva,
   António/HPD-3031-2023; Fava, Maria Clara/K-5779-2018; Mendiondo, Eduardo
   Mario/C-7317-2012; Delbem, Alexandre/A-9287-2008
OI Fava, Maria Clara/0000-0002-8201-4339; Mendiondo, Eduardo
   Mario/0000-0003-2319-2773; Delbem, Alexandre/0000-0003-1810-1742
FU FundacAo de Amparo a Pesquisa do Estado de SAo Paulo (FAPESP)
   [2014/50848-9, 2020/03029-3, 2019/23393-4]; CoordenacAo de
   Aperfeicoamento de Pessoal de Nivel Superior do Brasil (CAPES) [001];
   SAo Carlos School of Engineering by the Brazilian National Council for
   Scientific and Technological Development (CNPq); National Institute of
   Science and Technology for Climate Change Phase 2 (INCT-II) under the
   CNPq [465501/2014-1]; CAPES [16/2014]
FX The authors of this work would like to thank the FundacAo de Amparo a
   Pesquisa do Estado de SAo Paulo (FAPESP grants #2014/50848-9,
   #2020/03029-3) throughout project n. 2019/23393-4 "TOCO_DR Theory of
   Change Observatory in Disaster Resilience"; the CoordenacAo de
   Aperfeicoamento de Pessoal de Nivel Superior do Brasil (CAPES)-finance
   Code 001-and regular funding to post-graduate program in Hydraulics and
   Sanitation of University of SAo Paulo, SAo Carlos School of Engineering
   by the Brazilian National Council for Scientific and Technological
   Development (CNPq); the National Institute of Science and Technology for
   Climate Change Phase 2 (INCT-II) under the CNPq Grant 465501/2014-1; and
   CAPES Grant 16/2014.
CR Abreu F.G., 2019, THESIS U SAO PAULO S, DOI 10.11606/T.18.2019.tde-23102020-105726
   Ahmed MF., 2002, Efficacy of some fungicides and plant extracts against Biploris oryzae, P1
   Akter A, 2020, WATER SCI ENG, V13, P95, DOI 10.1016/j.wse.2020.06.001
   [Anonymous], Glossary of Meteorology: Potential evapotranspiration
   [Anonymous], 1968, HYDROLOGY URBAN LAND
   [Anonymous], 2006, WATER SENSITIVE URBA
   Baig S. A., 2012, Journal of Applied Sciences in Environmental Sanitation, V7, P49
   Balbastre-Soldevila R, 2019, WATER-SUI, V11, DOI 10.3390/w11040757
   Barbassa A.P., 1991, UFSCAR SAO CARLOS SP
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Barros R.M., 2007, REV BRAS RECUR HIDR, V12, P5
   BASTAWESY ME, 2017, J AFR EARTH SCI, V136, P312, DOI DOI 10.1016/J.JAFREARSCI.2017.03.008
   de Macedo MB, 2022, CRIT REV ENV SCI TEC, V52, P2538, DOI 10.1080/10643389.2021.1886889
   Behrouz MS, 2020, J HYDROL, V581, DOI 10.1016/j.jhydrol.2019.124436
   Bernstein L., 2007, Climate Change 2007: Synthesis report. Contribution of working groups I, II and III to the fourth assessment report of the Intergovernmental Panel on climate change, P104
   Bisht DS, 2016, NAT HAZARDS, V84, P749, DOI 10.1007/s11069-016-2455-1
   Buarque ACS, 2020, HYDROLOG SCI J, V65, P1075, DOI 10.1080/02626667.2020.1740705
   C40, CLIMATE ACTION MEGAC
   Chen J, 2009, J HYDROL, V373, P184, DOI 10.1016/j.jhydrol.2009.04.021
   Chow V. T., 1959, Open-Channel Hydraulics
   Chow V.T., 1988, Applied Hydrology
   Costa CW., 2012, GEOCIENCIAS, V31, P143
   Council G.C., 2007, WATER SENSITIVE URBA
   de Macedo MB, 2019, SCI TOTAL ENVIRON, V647, P923, DOI 10.1016/j.scitotenv.2018.08.002
   De Paola F, 2018, P I CIVIL ENG-WAT M, V171, P30, DOI 10.1680/jwama.16.00057
   Debortoli NS, 2017, NAT HAZARDS, V86, P557, DOI 10.1007/s11069-016-2705-2
   Di Vittorio D., 2014, THESIS SO ILLINOIS U
   Dussaillant AR, 2004, J HYDROL ENG, V9, P219, DOI 10.1061/(ASCE)1084-0699(2004)9:3(219)
   Fava M.C., 2019, THESIS U SAO PAULO S
   Fava MC, 2020, HYDROLOG SCI J, V65, P1096, DOI 10.1080/02626667.2020.1729984
   Fava MC, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12498
   Feng BY, 2021, NAT HAZARDS, V106, P613, DOI 10.1007/s11069-020-04480-0
   Fialho HCP, 2021, WATER-SUI, V13, DOI 10.3390/w13233394
   Gersonius B, 2012, WATER RES, V46, P6824, DOI 10.1016/j.watres.2012.03.060
   Ghazal R, 2014, PROCEDIA ENGINEER, V89, P780, DOI 10.1016/j.proeng.2014.11.507
   Guidolin M, 2016, ENVIRON MODELL SOFTW, V84, P378, DOI 10.1016/j.envsoft.2016.07.008
   HEC-Hydrologic Engineering Center, 2018, HYDR REF MAN
   HEDERRA R, 1987, DISASTERS, V11, P297, DOI 10.1111/j.1467-7717.1987.tb00653.x
   Houston D., 2011, Pluvial (rain-related) flooding in urban areas: the invisible hazard
   IBGE-Instituto Brasileiro de Geografia e Estatstica, 2015, EST POP RES BRASIL U
   INMETInstituto Nacional de Meteorologia Normais Climatolgicas do Brasil, 2016, BRAZ CLIM NORMS
   James W., 2010, USERS GUIDE SWMM5, V13th
   Jha MK, 2020, WATER-SUI, V12, DOI 10.3390/w12071986
   Jiang L, 2015, IAHS-AISH P, V368, P186
   Konrad CP, 2005, AM FISH S S, V47, P157
   Kourtis IM, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126885
   Kurian M., 2016, Resources, Services and Risks: How Can Data Observatories Bridge the Science-Policy Divide in Environmental Governance?
   Leandro J, 2016, WATER SCI TECHNOL, V73, P3017, DOI 10.2166/wst.2016.171
   Lyra A, 2018, THEOR APPL CLIMATOL, V132, P663, DOI 10.1007/s00704-017-2067-z
   Macedo M.B., 2020, THESIS U SAO PAULO S
   Manfreda S, 2021, HYDROL EARTH SYST SC, V25, P4231, DOI 10.5194/hess-25-4231-2021
   Marengo J.A., 2010, MUDANAS CLIMTICAS EV
   Marotti A.C.B., 2014, REV EIXO, V3, P25, DOI [10.19123/eixo.v3i1.141, DOI 10.19123/EIXO.V3I1.141]
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   McCuen R.H., 2005, Hydrologic Analysis and Design, V3rd
   Mendes H.C., 2007, RBRH-Revista Brasileira de Recursos Hidricos, V12, P17
   Nardi F, 2022, HYDROLOG SCI J, V67, P2534, DOI 10.1080/02626667.2020.1849707
   Natarajan Surendar, 2020, Journal of the Institution of Engineers (India): Series A (Civil, Architectural, Environmental and Agricultural Engineering), V101, P381, DOI 10.1007/s40030-019-00427-2
   Negrao A.C., 2015, THESIS U SAO PAULO S
   Nkwunonwo UC, 2020, SCI AFR, V7, DOI 10.1016/j.sciaf.2020.e00269
   Nunes MF, 2015, BRAZ J BIOL, V75, P3, DOI 10.1590/1519-6984.01013suppl
   Ogie RI, 2018, URBAN CLIM, V24, P763, DOI 10.1016/j.uclim.2017.09.002
   Oliveira RTS, 2004, QUIM NOVA, V27, P911, DOI 10.1590/S0100-40422004000600014
   Pati A, 2022, J HYDROL ENG, V27, DOI 10.1061/(ASCE)HE.1943-5584.0002147
   Perin R, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08338-7
   Pina RD, 2016, WATER-SUI, V8, DOI 10.3390/w8020058
   Jacob ACP, 2019, WATER SCI TECHNOL, V79, P2135, DOI 10.2166/wst.2019.212
   Prince George"s County, 2007, BIOR MAN
   Rangari Vinay Ashok, 2019, Journal of the Institution of Engineers (India): Series A (Civil, Architectural, Environmental and Agricultural Engineering), V100, P49, DOI 10.1007/s40030-018-0345-0
   Rangari VA, 2019, MODEL EARTH SYST ENV, V5, P1839, DOI 10.1007/s40808-019-00641-8
   Rossman L., 2004, STORM WATER MANAGEME
   Roy H. E., 2012, UNDERSTANDING CITIZE
   Saadatpour M, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102334
   Buarque ACS, 2021, HYDROLOG SCI J, V66, P2011, DOI 10.1080/02626667.2021.1977813
   Schanze J, 2006, NATO SCI S SS IV EAR, V67, P1
   See L, 2019, FRONT EARTH SC-SWITZ, V7, DOI 10.3389/feart.2019.00044
   Semadeni-Davies A, 2008, J HYDROL, V350, P114, DOI 10.1016/j.jhydrol.2007.11.006
   Shrestha A, 2020, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2020: HYDRAULICS, WATERWAYS, AND WATER DISTRIBUTION SYSTEMS ANALYSIS, P237, DOI 10.1061/9780784482971.024
   Simonovic S., 2017, GEOTECH NEWS, V35, P40
   Simonovic S. P., 2013, British Journal of Environment and Climate Change, V3, P378, DOI 10.9734/BJECC/2013/2504
   Smith B, 2017, WATER-SUI, V9, DOI 10.3390/w9100736
   Stangonini FN, 2018, URBE-CURITIBA, V10, P118, DOI [10.1590/2175-3369.010.supl1.ao14, 10.1590/2175-3369.010.SUPL1.AO14]
   Stark BL, 2007, LAT AM ANTIQ, V18, P385, DOI 10.2307/25478194
   Tavakol-Davani H, 2016, SUSTAIN CITIES SOC, V27, P430, DOI 10.1016/j.scs.2016.07.003
   TOKLU A., 2017, INT J ACAD RES ACCOU, V7, P131, DOI DOI 10.6007/IJARAFMS/V7-I1/2588
   Uchiyama S., 2022, IOP C SERIES EARTH E, V973
   UNDRR-United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS
   Urban Institute, 2008, ID POL GUESSW CAS EV
   Vandenberghe S, 2010, HYDROL EARTH SYST SC, V14, P2429, DOI 10.5194/hess-14-2429-2010
   Vieira I, 2018, J FLOOD RISK MANAG, V11, pS930, DOI 10.1111/jfr3.12285
   Vieux B.E., 2010, P WAT ENV FED WEFTEC, V2010, P6248, DOI [10.2175/193864710798194120, DOI 10.2175/193864710798194120]
   Willems P, 2011, J HYDROL, V402, P193, DOI 10.1016/j.jhydrol.2011.02.030
   Wong T.H.F., 2000, P 10 WORLD WATER C
   Wu XS, 2017, J HYDROL, V547, P428, DOI 10.1016/j.jhydrol.2017.02.020
   Yalcin E, 2020, NAT HAZARDS, V101, P995, DOI 10.1007/s11069-020-03906-z
   Zahmatkesh Z, 2015, J IRRIG DRAIN ENG, V141, DOI 10.1061/(ASCE)IR.1943-4774.0000770
   Zeiger SJ, 2021, J ENVIRON MANAGE, V285, DOI 10.1016/j.jenvman.2021.112125
   Zhang KF, 2019, J HYDROL, V568, P57, DOI 10.1016/j.jhydrol.2018.10.056
   Zio E.N. Pedroni., 2012, Overview of risk-informed decision-making processes
NR 99
TC 8
Z9 9
U1 6
U2 45
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAY
PY 2022
VL 14
IS 9
AR 1467
DI 10.3390/w14091467
PG 24
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 1F8VV
UT WOS:000795440400001
OA gold
DA 2025-04-22
ER

PT J
AU Wang, K
   Feng, YY
   Yang, H
   Deng, J
   Li, QF
AF Wang, Kai
   Feng, Yuanyuan
   Yang, Hua
   Deng, Jun
   Li, Quanfang
TI Evaluation of Community Emergency Management Capability Based on SWOT
   Analysis-A Case Study
SO SUSTAINABILITY
LA English
DT Article
DE community resilience; emergency management; indicator system; SWOT;
   weight
ID RESILIENCE
AB (1) Background: the community is the most basic place to maintain residents' lives, and therefore it is urgent to strengthen community resilience construction, which is directly related to the economic development, security and stability of urban communities. (2) Methods: this article combines the SWOT (Strengths, Weaknesses, Opportunities, Threats) qualitative analysis method and the AHP (Analytic hierarchy process) qualitative and quantitative analysis method to explore the current status of community emergency management in Xi'an City. A community emergency management evaluation model is constructed, which is based on six dimensions: infrastructure resilience, community organization resilience, risk hazard governance, emergency material security, emergency force construction, and emergency literacy. The evaluation index for community emergency management is established. Focusing on analyzing the strengths and weaknesses of communities in responding to sudden public health emergencies, opportunities and threats are identified. (3) Results: it was concluded that infrastructure resilience and emergency material support are community strengths, community organizational resilience is a community weakness, the emergency literacy dimension is a community opportunity, and risk and hazard management and emergency force construction are community threats. The results of the data research were further analyzed. (4) Conclusions: The final research results provide new theoretical support for community emergency management, while also providing theoretical and methodological references for emergency capacity evaluation in other fields.
C1 [Wang, Kai; Feng, Yuanyuan; Deng, Jun; Li, Quanfang] Xian Univ Sci & Technol, Coll Safety Sci & Engn, Xian 710054, Peoples R China.
   [Wang, Kai; Feng, Yuanyuan; Deng, Jun; Li, Quanfang] Xian City Urban Publ Safety & Fire Rescue Key Lab, Xian 710054, Peoples R China.
   [Yang, Hua] Xian Univ Sci & Technol, Coll Elect & Control Engn, Xian 710054, Peoples R China.
C3 Xi'an University of Science & Technology; Xi'an University of Science &
   Technology
RP Wang, K (corresponding author), Xian Univ Sci & Technol, Coll Safety Sci & Engn, Xian 710054, Peoples R China.; Wang, K (corresponding author), Xian City Urban Publ Safety & Fire Rescue Key Lab, Xian 710054, Peoples R China.
EM wangk912@xust.edu.cn; 22220226147@stu.xust.edu.cn; yangh@xust.edu.cn;
   dengj518@xust.edu.cn; 19403070307@stu.xust.edu.cn
RI feng, yuanyuan/GRO-2896-2022; DENG, Jun/KDO-8475-2024
OI , Kai/0000-0001-5667-9073
FU Humanities and Social Sciences Project of the Ministry of Education
   [22YJCZH171]; Research Project of Major Theoretical and Practical
   Problems in Social Science Circles of Shaanxi Province [2022ND0189]
FX This research was funded by The Humanities and Social Sciences Project
   of the Ministry of Education, grant number 22YJCZH171 and Research
   Project of Major Theoretical and Practical Problems in Social Science
   Circles of Shaanxi Province, grant number 2022ND0189.
CR Alonge O, 2019, GLOBAL HEALTH ACTION, V12, DOI 10.1080/16549716.2019.1662682
   Angela H., 2020, J. Emerg. Nurs, V46, P368
   Bell S., 2019, Continuity and Resilience Review, V1, P5, DOI 2123/10.1108/CRR-01-2019-0002
   Bhavaraju SR, 2021, NEUROL INDIA, V69, P1499, DOI 10.4103/0028-3886.329597
   Cohen O, 2013, TECHNOL FORECAST SOC, V80, P1732, DOI 10.1016/j.techfore.2012.12.009
   Erdinc K., 2020, J. Tour. Theory Res, V6, P115
   Frimpong B.E., 2020, Civil Engineering Dimension, V22, P37, DOI DOI 10.9744/CED.22.1.37-46
   Gao H, 2022, CHINA REP, V58, P336, DOI 10.1177/00094455221108234
   Ghorbani MK, 2023, INT J HYDROL SCI TEC, V15, P112, DOI 10.1504/IJHST.2023.128718
   Hope C.J., 2021, Health Promot. Int, V36, pi34
   Hu GS, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.1032758
   Kar B, 2019, ROU ST HAZ DIS RIS C, P1
   Kusumastuti RD, 2014, INT J DISAST RISK RE, V10, P327, DOI 10.1016/j.ijdrr.2014.10.007
   Li M., 2021, J. Soc. Sci. Humanit, V3, P83
   Li WT, 2023, RISK MANAG HEALTHC P, V16, P79, DOI 10.2147/RMHP.S383031
   Liang M.Y., 2020, P 2020 5 INT C MOD M
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ostadtaghizadeh A, 2016, NAT HAZARDS, V83, P1843, DOI 10.1007/s11069-016-2377-y
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   Peacock WalterG., 2010, ADV RESILIENCE COAST
   Robertson D., 2016, Electric Perspectives, V41, P44
   Robinson GM, 2016, GEOGR J, V182, P114, DOI 10.1111/geoj.12144
   Saleena S., 2019, Disasters, V43, P206
   Sun Q, 2022, INT J DISAST RISK RE, V76, DOI 10.1016/j.ijdrr.2022.102997
   Tu Shiyu, 2022, IOP Conference Series: Earth and Environmental Science, V973, DOI 10.1088/1755-1315/973/1/012015
   Walker B, 2004, ECOL SOC, V9
   Wang Kai, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20032351
   Wang K, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192316201
   Wen ZZ, 2020, IOP C SER EARTH ENV, V546, DOI 10.1088/1755-1315/546/3/032047
   Yu DJ, 2021, INT J INF TECH DECIS, V20, P7, DOI 10.1142/S0219622020500406
   Zhu Q.H., 2021, Sci. Discov, V9, P37
NR 31
TC 2
Z9 2
U1 26
U2 94
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2023
VL 15
IS 17
AR 12770
DI 10.3390/su151712770
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA R0HN7
UT WOS:001061237000001
OA gold
DA 2025-04-22
ER

PT J
AU Cai, YJ
   Marks, D
AF Cai, Yanjun
   Marks, Danny
TI Photovoice in the age of social media: Helping to build participation
   needed for urban climate resilience?
SO URBAN CLIMATE
LA English
DT Article
DE Photovoice; Participation; Climate resilience; Facebook; Philippines
ID PUBLIC-PARTICIPATION; INFORMAL SETTLEMENTS; CHANGE ADAPTATION;
   KNOWLEDGE; ENGAGEMENT; REDUCTION; CAPACITY; VOICES; LADDER; INDIA
AB Nontraditional participation is increasingly called for to emphasize inclusiveness and trans-formation from the perspectives of affected populations for climate resilience. Photovoice, a participatory action research method, has been utilized in various fields for revealing critical matters through the local lens. Meanwhile, social network sites (SNSs) such as Facebook act as an interactive platform to raise awareness and facilitate collective activism among diverse stake-holders beyond geographical boundaries through new communication forms. Building on a conceptual review of participatory resilience, we examine the methodology of photovoice and its value in the context of non-traditional participation for climate resilience. Through visual nar-ratives, unstructured observations, and semi-structured interviews, we investigate the ways in which photovoice integrates with social media to transform participatory resilience building. We do so through a case study of the Philippines, with an emphasis on disadvantaged populations. Specifically, this work substituted traditional and digital cameras with smartphones and estab-lished a social media group on Facebook. The integrated action-oriented approach showcases the network of participation as a mosaic, discovering nuances of engagement from local perspectives. Our article seeks to contribute to the growing literature on contemporary public participation, advocating nontraditional participation for inclusive climate resilience in the era of social media.
C1 [Cai, Yanjun] Sun Yat Sen Univ, Sch Int Relat, Guangzhou, Peoples R China.
   [Marks, Danny] Dublin City Univ, Sch Law & Govt, Dublin, Ireland.
C3 Sun Yat Sen University; Dublin City University
RP Cai, YJ (corresponding author), Sun Yat Sen Univ, Sch Int Relat, Inst Belt & Rd Studies, Inst Southeast Asian Studies, 135 Xingang Xi Rd, Guangzhou 510275, Peoples R China.
EM caiyj36@mail.sysu.edu.cn; danny.marks@dcu.ie
OI Marks, Danny/0000-0003-0833-880X
FU Toyota Foundation [D13-R-420]
FX This work was supported by the Toyota Foundation [grant number
   D13-R-420, 2013-2015] .
CR Afzalan N, 2015, PLAN PRACT RES, V30, P270, DOI 10.1080/02697459.2015.1052943
   Ahmed A, 2022, ETHNIC HEALTH, V27, P463, DOI 10.1080/13557858.2019.1685651
   Aldunce P, 2016, ENVIRON HAZARDS-UK, V15, P58, DOI 10.1080/17477891.2015.1134427
   Alexander DE, 2014, SCI ENG ETHICS, V20, P717, DOI 10.1007/s11948-013-9502-z
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   Annang L, 2016, QUAL HEALTH RES, V26, P241, DOI 10.1177/1049732315576495
   [Anonymous], 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15460
   [Anonymous], 2012, J CURR S ASIAN AFFAI
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Balogun AL, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101888
   Barton J., 2005, Computers, Environment and Urban Systems, V29, P630, DOI 10.1016/j.compenvurbsys.2005.03.002
   Barua Z, 2020, PROG DISASTER SCI, V8, DOI 10.1016/j.pdisas.2020.100119
   Bisung E, 2014, SOC SCI MED, V119, P147, DOI 10.1016/j.socscimed.2014.07.060
   Borquez R, 2017, SUSTAIN SCI, V12, P163, DOI 10.1007/s11625-016-0400-6
   Boyd DM, 2007, J COMPUT-MEDIAT COMM, V13, P210, DOI 10.1111/j.1083-6101.2007.00393.x
   Brabham DC, 2009, PLAN THEOR, V8, P242, DOI 10.1177/1473095209104824
   Brown G, 2018, LANDSCAPE URBAN PLAN, V177, P64, DOI 10.1016/j.landurbplan.2018.04.011
   Bryson JM, 2013, PUBLIC ADMIN REV, V73, P23, DOI 10.1111/j.1540-6210.2012.02678.x
   Bukowski K, 2011, SOC SCI MED, V72, P739, DOI 10.1016/j.socscimed.2010.11.029
   Cai YJ, 2024, J PLAN EDUC RES, V44, P102, DOI 10.1177/0739456X20949644
   Cai YJ, 2017, NAT HAZARDS, V88, P1169, DOI 10.1007/s11069-017-2913-4
   Castleden H, 2008, SOC SCI MED, V66, P1393, DOI 10.1016/j.socscimed.2007.11.030
   Chandrasekhar D, 2014, J AM PLANN ASSOC, V80, P373, DOI 10.1080/01944363.2014.989399
   Choguill MBG, 1996, HABITAT INT, V20, P431, DOI 10.1016/0197-3975(96)00020-3
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Clarke Gerard., 2006, POLITICS NGOS SE ASI
   Cloutier G, 2015, CLIM POLICY, V15, P458, DOI 10.1080/14693062.2014.937388
   Coles AR, 2018, ENVIRON HAZARDS-UK, V17, P128, DOI 10.1080/17477891.2017.1382319
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Crabtree C, 2015, PROG COMM HLTH PARTN, V9, P31, DOI 10.1353/cpr.2015.0012
   Das P, 2014, WORLD DEV, V64, P206, DOI 10.1016/j.worlddev.2014.05.025
   de Zúñiga HG, 2012, J COMPUT-MEDIAT COMM, V17, P319, DOI 10.1111/j.1083-6101.2012.01574.x
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fournier B, 2014, CHILD YOUTH SERV REV, V45, P55, DOI 10.1016/j.childyouth.2014.03.038
   de Zúñiga HG, 2014, J COMMUN, V64, P612, DOI 10.1111/jcom.12103
   Grant J., 2008, A Reader in Canadian Planning: Linking Theory and Practice
   Guan LeeHock., 2004, CIVIL SOC SE ASIA
   Harris JC, 2018, J PLAN EDUC RES, V38, P398, DOI 10.1177/0739456X17709914
   Hergenrather KC, 2009, AM J HEALTH BEHAV, V33, P686, DOI 10.5993/AJHB.33.6.6
   Hissa K., 2016, Using photovoice to understand climate change adaptation in rural Ontario
   Innes JE., 2004, Planning Theory Practice, V5, P419, DOI [DOI 10.1080/1464935042000293170, 10.1080/1464935042000293170]
   Irvin RA, 2004, PUBLIC ADMIN REV, V64, P55, DOI 10.1111/j.1540-6210.2004.00346.x
   Jayasuriya Kanishka., 2007, DEMOCRATIZATION, V14, P773, DOI DOI 10.1080/13510340701635647
   Kemp S., 2017, Digital in 2017: Global overview
   Kleinhans R, 2015, PLAN PRACT RES, V30, P237, DOI 10.1080/02697459.2015.1051320
   Krieg B, 2007, ROUTL STUD HUM GEOGR, V22, P150
   Li LY, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101776
   Marks D, 2016, HABITAT INT, V52, P57, DOI 10.1016/j.habitatint.2015.08.024
   Meerow S, 2017, ENVIRON PLANN A, V49, P2649, DOI 10.1177/0308518X17723630
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Morin VM, 2016, DISASTERS, V40, P693, DOI 10.1111/disa.12174
   Napawan NC, 2017, URBAN PLAN, V2, P51, DOI 10.17645/up.v2i4.1010
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Plummer R, 2006, NAT RESOUR FORUM, V30, P51, DOI 10.1111/j.1477-8947.2006.00157.x
   Prins E, 2010, ACTION RES-LONDON, V8, P426, DOI 10.1177/1476750310374502
   Rhodes SD, 2008, HEALTH PROMOT PRACT, V9, P159, DOI 10.1177/1524839906293829
   Rodan Garry., 2018, Participation without Democracy: Containing Conflict in Southeast Asia
   Salter JD, 2009, J ENVIRON MANAGE, V90, P2090, DOI 10.1016/j.jenvman.2007.08.023
   Sarzynski A, 2015, URBAN CLIM, V14, P52, DOI 10.1016/j.uclim.2015.08.002
   Schumann R.L., 2015, The meaning of place recovery on the Mississippi gulf coast
   Schumann RL, 2019, GEOJOURNAL, V84, P273, DOI 10.1007/s10708-017-9825-4
   Shatkin G, 2004, URBAN STUD, V41, P2469, DOI 10.1080/00420980412331297636
   Theocharis Y, 2015, INFORM COMMUN SOC, V18, P202, DOI 10.1080/1369118X.2014.948035
   Tritter JQ, 2006, HEALTH POLICY, V76, P156, DOI 10.1016/j.healthpol.2005.05.008
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   Wang C, 1997, HEALTH EDUC BEHAV, V24, P369, DOI 10.1177/109019819702400309
   Wang CC, 2006, J COMMUNITY PRACT, V14, P147, DOI 10.1300/J125v14n01_09
   Wang CC, 2004, MATERN CHILD HLTH J, V8, P95, DOI 10.1023/B:MACI.0000025732.32293.4f
   Wang CC, 1999, J WOMENS HEALTH, V8, P185, DOI 10.1089/jwh.1999.8.185
   Wisner B., 2016, OXFORD RES ENCY NATU, DOI [10.1093/acrefore/9780199389407.013.25, DOI 10.1093/ACREFORE/9780199389407.013.25]
NR 70
TC 10
Z9 10
U1 1
U2 23
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD DEC
PY 2021
VL 40
AR 101019
DI 10.1016/j.uclim.2021.101019
EA OCT 2021
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA WR9MC
UT WOS:000714815800005
DA 2025-04-22
ER

PT J
AU Bourdic, L
   Salat, S
   Nowacki, C
AF Bourdic, Loeiz
   Salat, Serge
   Nowacki, Caroline
TI Assessing cities: a new system of cross-scale spatial indicators
SO BUILDING RESEARCH AND INFORMATION
LA English
DT Article
DE built environment efficiency; environmental assessment; spatial
   indicators; sustainable cities; urban efficiency; urban resilience;
   urban tools
ID CITY
AB Urban stakeholders require quantitative and robust tools to implement new paths to urban sustainability. Urban form, the spatial distribution of activities and urban organization are crucial aspects of cities' sustainability. Many tools and assessment systems have been developed to improve cities' energy efficiency and environmental footprint. However, most of these tools are based on the building scale. Most urban stakeholders are now convinced that a building scale approach is not sufficient: the scale of analysis should evolve from the building to the neighbourhood, district and city scales. An innovative system of indicators is presented that answers the need for multi-scale and cross-scale indicators and encompasses the intrinsic complexity of the city. Based on a morphologic approach, new mathematical formulas are used to generate urban sustainability indicators. These indicators can assist with the comparison of urban projects by using a structural point of view to assess the energy efficiency, social and environmental consequences of different urban forms. A comprehensive table displays 60 indicators and methods to quantify them. Some of these indicators have been quantified for real cities and are presented.
C1 [Bourdic, Loeiz; Salat, Serge; Nowacki, Caroline] CSTB, Urban Morphol Lab, F-75016 Paris, France.
RP Bourdic, L (corresponding author), CSTB, Urban Morphol Lab, 4 Ave Poincare, F-75016 Paris, France.
EM loeiz.bourdic@m4x.org; serge.salat@free.fr; nowackicaroline@gmail.com
CR Agencia de Ecologia Urbana de Barcelona, 2007, PLAN ESP IND SOST AM
   Alberti Marina., 2000, Achieving sustainable urban form, P84
   Alexander C., 1987, A New Theory of Urban Design
   [Anonymous], SUSTAINABLE URBAN DE
   [Anonymous], 2009, LEED 2009 for Neighborhood Development
   Bourdic L, 2012, BUILD RES INF, V40, P518, DOI 10.1080/09613218.2012.690951
   BRE, 2011, BREEAM COMM STAG 2 T
   Breheny M., 1992, Sustainable Development and Urban Form
   Cole R., 2011, SB11 C HELS FINL 18
   Comprehensive Assessment System for Building Environmental Efficiency (CASBEE), 2007, CASBEE UD
   Jane J., 1961, DEATH LIFE GREAT AM
   Kellett R., 2009, SUSTAINABILITY INDIC, V2
   Kellett R., 2009, SUSTAINABILITY INDIC, V1
   Kenworthy JR, 2006, ENVIRON URBAN, V18, P67, DOI 10.1177/0956247806063947
   Murakami S, 2011, BUILD RES INF, V39, P195, DOI 10.1080/09613218.2011.563920
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   OKE TR, 1988, ENERG BUILDINGS, V11, P103, DOI 10.1016/0378-7788(88)90026-6
   Parker Terry., 1994, The Land Use-Air Quality Linkage: How Land Use and Transportation Affect Air Quality
   Ratti C, 2005, ENERG BUILDINGS, V37, P762, DOI 10.1016/j.enbuild.2004.10.010
   Salat S., 2010, SUSB, V1, P160
   Salat S., 2011, P 2 INT EN LIF CYCL
   Salat S, 2011, PROCEDIA ENGINEER, V21, P1193, DOI 10.1016/j.proeng.2011.11.2130
   Salat S, 2009, BUILD RES INF, V37, P598, DOI 10.1080/09613210903162126
   Salingaros NA, 1999, ENVIRON PLANN B, V26, P909, DOI 10.1068/b260909
   *US DEP HOUS URB D, 2000, PRINC INN CIT NEIGHB
   USGBC, 2011, LEED NEIGHB DEV
   Van U., 2000, Achieving Sustainable Urban Form, P139
   von Weizsacker Ernst., 1997, Factor Four: Doubling Wealth, Halving Resource Use
   Wheeler SM, 2002, J AM PLANN ASSOC, V68, P110
NR 29
TC 41
Z9 51
U1 1
U2 74
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0961-3218
EI 1466-4321
J9 BUILD RES INF
JI Build. Res. Informat.
PY 2012
VL 40
IS 5
SI SI
BP 592
EP 605
DI 10.1080/09613218.2012.703488
PG 14
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA 995UW
UT WOS:000308040200005
DA 2025-04-22
ER

PT J
AU Rao, FJ
   Dovey, K
AF Rao, Fujie
   Dovey, Kim
TI Shopping and Urbanity: Emerging Assemblages of Main Street, Mall, and
   Power Centre
SO PLANNING THEORY & PRACTICE
LA English
DT Article
DE Shopping; retail; urbanity; privatisation; assemblage
ID BUSINESS IMPROVEMENT DISTRICTS; PUBLIC SPACE; RETAIL; REVITALIZATION;
   CITY
AB Car-dependent cities of the mid-late twentieth century transformed urban shopping as shopping centres became privatised and separated from urban life traditional main streets were often replaced by suburban malls and then power centres (big-box clusters). We identify 13 emerging synergies between these retail types and critique the ways the synergies may foster or endanger urban public life. This evidence suggests contradictory trends: a return to urbanity with more fine-grained, mixed-use, and pedestrian-friendly shopping, juxtaposed with anti-urban tendencies of entrenched car-dependency and sophisticated private control. The role of planning in creating resilient urbanity is at stake.
C1 [Rao, Fujie] Shanghai Jiao Tong Univ, Sch Design, Dept Architecture, Shanghai, Peoples R China.
   [Dovey, Kim] Univ Melbourne, Fac Architecture Bldg & Planning, Parkville, Vic, Australia.
C3 Shanghai Jiao Tong University; University of Melbourne
RP Rao, FJ (corresponding author), Shanghai Jiao Tong Univ, Sch Design, Dept Architecture, Shanghai, Peoples R China.
EM raofujie@gmail.com
RI Rao, Fujie/AAH-5242-2019; DOVEY, Kim/L-3994-2016
OI Rao, Fujie/0000-0002-6828-6944; DOVEY, Kim/0000-0003-2492-8607
CR Abaza M, 2001, THEOR CULT SOC, V18, P97, DOI 10.1177/02632760122051986
   Al Stefan., 2016, Mall City: Hong Kong's Dreamworlds of Consumption
   Amos D, 2020, J AM PLANN ASSOC, V86, P11, DOI 10.1080/01944363.2019.1656103
   [Anonymous], 2003, AM NEW DOWNTOWNS REV
   [Anonymous], 2001, HARVARD DESIGN SCH G
   Auge Marc, 1995, NONPLACES INTRO ANTH
   Beyard M.D., 2001, DEV RETAIL ENTERTAIN
   Biel H., 2001, DEV RETAIL ENTERTAIN, P17
   Brambilla Roberto., 1977, For Pedestrians Only: Planning, Design, and Management of Traffic-Free Zones
   Brown S., 1990, EUR J MARKETING, V24, P39
   Carmona M., 2020, COMPANION PUBLIC SPA, P121
   Connolly K., 2020, GUARDIAN 0518
   Corkery Michael., 2017, The New York Times
   Crawford Margaret., 1992, Variations on a Theme Park, P3
   DAVIES RL, 1974, TOWN PLANN REV, V45, P91, DOI 10.3828/tpr.45.1.90j120q36443625h
   De Landa ManuelGraham Harman., 2017, The Rise of Realism
   DeLanda M., 2006, A new philosophy of society: assemblage theory and social complexity, DOI DOI 10.1111/J.1467-8330.2008.00646.X
   DeLanda M, 2012, ARCHIT THEORY REV, V17, P3, DOI 10.1080/13264826.2012.661549
   Deleuze G., 1988, 1000 PLATEAUS CAPITA
   Dovey K, 2016, URBAN DESIGN THINKING: A CONCEPTUAL TOOLKIT, P1
   Dovey Kim., 2008, Framing Places: Mediating Power in Built Form, V2nd
   Erkip F, 2003, ENVIRON PLANN A, V35, P1073, DOI 10.1068/a35167
   Finstein A.D., 2020, CONVERSATION 0625
   Forsyth Ann., 1997, J URBAN DES, V2, P297, DOI DOI 10.1080/13574809708724411
   Frieden BernardJ., 1989, DOWNTOWN INC AM REBU
   Garreau J., 1991, Edge City: Life On The New Frontier
   Gehl J., 2010, CITIES PEOPLE
   Gibbs RobertJ., 2012, Principles of Urban Retail Planning and Development
   GOSS J, 1993, ANN ASSOC AM GEOGR, V83, P18, DOI 10.1111/j.1467-8306.1993.tb01921.x
   Gruen Victor., 1964, HEART OUR CITIES THE
   Gruen VictorLarry Smith., 1960, Shopping Towns USA; the Planning of Shopping Centers
   Guy C., 1998, GEOJOURNAL, V45, P255, DOI DOI 10.1023/A:1006960414161
   Guy C., 2000, International Review of Retail, Distribution and Consumer Research, V10, P389, DOI DOI 10.1080/09593960050138949
   Hahn Barbara., 2000, J RETAIL CONSUM SERV, V7, P223
   Hernandez T., 2004, Journal of Shopping Center Research, V11, P55
   Jacobs Jane, 1961, DEATH LIFE GREAT AM
   Jerde Partnership, 2003, BUILDING TYPE BASICS
   Johnson StevenBerlin., 2001, Emergence: The Connected Lives of Ants, Brains, Cities, and Software
   Jones Ken., 2000, Journal of Retailing and Consumer Services, V7, P233
   Kärrholm M, 2008, URBAN STUD, V45, P1903, DOI 10.1177/0042098008093383
   Kostof Spiro, 1991, The City Shaped: Urban Patterns and Meanings Through History
   Longstreth Richard., 1998, CITY CTR REGIONAL MA
   Lorch B.J., 2005, Canadian Journal of Urban Research, V14, P364
   Lowe M, 2005, URBAN STUD, V42, P449, DOI 10.1080/00420980500035139
   Marshall A., 1890, PRINCIPLES EC
   Marshall S., 2005, Streets patterns, V1st
   Massey D., 1994, Space, Place, and Gender
   McFarlane C, 2011, RGS IBG BOOK SER, P1
   Mitchell J, 2001, ECON DEV Q, V15, P115, DOI 10.1177/089124240101500201
   Mitchell Stacy., 2006, Big-Box Swindle: The True Cost of Mega-Retailers and the Fight for America's Independent Businesses
   Montgomery J., 1998, J. Urban Des, V3, P93, DOI DOI 10.1080/13574809808724418
   Moudon A.V., 1994, ORDERING SPACE TYPES, P289
   Mumford Lewis., 1961, CITY HIST
   Parlette V, 2011, INT J URBAN REGIONAL, V35, P794, DOI 10.1111/j.1468-2427.2010.00992.x
   Pojani D, 2015, J PLAN EDUC RES, V35, P131, DOI 10.1177/0739456X15573263
   Pojani D, 2008, URBAN DES INT, V13, P141, DOI 10.1057/udi.2008.8
   Rao FJ, 2020, URBAN DES INT, V25, P310, DOI 10.1057/s41289-020-00114-w
   Rao FJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11153999
   Rao FJ, 2018, J URBAN DES, V23, P544, DOI 10.1080/13574809.2017.1405726
   Rydin Y, 2014, PLAN THEORY PRACT, V15, P590, DOI 10.1080/14649357.2014.968007
   Scharoun Lisa., 2012, America at the mall: the cultural role of a retail utopia
   Sciara GC, 2018, J AM PLANN ASSOC, V84, P45, DOI 10.1080/01944363.2017.1404926
   Sennett Richard., 2018, BUILDING DWELLING ET
   Sennett Richard., 2007, The Endless City The Urban Age Project by the London School of Economics and Deutsche Bank's Alfred Herrhausen Society, P290
   Sennett Richard., 1996, Flesh And Stone: The Body and The City in Western Civilization
   Shane DavidGrahame., 2005, RECOMBINANT URBANISM
   Simone AbdouMaliq., 2011, City, V15, P355, DOI [https://doi.org/10.1080/13604813.2011.595108, DOI 10.1080/13604813.2011.595108]
   Smiley DavidJ., 2013, Pedestrian Modern: Shopping and American Architecture, 1925-1956
   Soria y Puig A., 1999, CERDA 5 BASES GEN T
   Sorkin Michael., 1992, VARIATIONS THEME PAR
   Southworth M., 1996, J URBAN DES, V1, P245
   Southworth M, 2005, J URBAN DES, V10, P151, DOI 10.1080/13574800500087319
   Talen E, 2019, J URBAN DES, V24, P78, DOI 10.1080/13574809.2018.1436962
   Thomas CJ, 2003, APPL GEOGR, V23, P47, DOI 10.1016/S0143-6228(02)00068-1
   Tyndall A, 2010, GEOGR RES-AUST, V48, P123, DOI 10.1111/j.1745-5871.2009.00621.x
   Underhill Paco., 2004, The Call of the Mall
   Vernez MoudonA., 1997, Urban morphology, V1, P3
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Ward K, 2007, GEOGR COMPASS, V1, P657, DOI 10.1111/j.1749-8198.2007.00022.x
   Zukin S, 1998, URBAN STUD, V35, P825, DOI 10.1080/0042098984574
   Zukin Sharon., 1993, Landscapes of Power: From Detroit to Disney World
NR 81
TC 7
Z9 7
U1 4
U2 28
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1464-9357
EI 1470-000X
J9 PLAN THEORY PRACT
JI Plan. Theory Pract.
PD OCT 20
PY 2021
VL 22
IS 5
BP 747
EP 764
DI 10.1080/14649357.2021.1965647
EA SEP 2021
PG 18
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA ZB7PW
UT WOS:000693972300001
DA 2025-04-22
ER

PT J
AU Mollinger, I
AF Mollinger, Isabelle
TI Community in times of COVID: building resilience in a self-help
   neighborhood in Medellin
SO CHILDRENS GEOGRAPHIES
LA English
DT Article; Early Access
DE Social cohesion; resilience; self-help neighborhood; photovoice; digital
   ethnography; COVID-19
ID SOCIAL COHESION; YOUTH; PERSPECTIVES; INFORMALITY; VIOLENCE
AB This article looks at resilience-building in Moravia, an inner-urban, self-help neighborhood constructed on and around the former principal landfill of Medellin, Colombia. Based on a photovoice project carried out with a group of children and youth in 2019, an image is presented of social cohesion within the neighborhood. Moravia's case shows that social cohesion in the neighborhood fosters three concrete forms of resilience-building: (1) maintaining networks of aid and care, (2) cultivating a sense of neighborhood identity, and (3) engaging in direct and indirect forms of reciprocity. Data from digital ethnography obtained in 2021 demonstrate that these resilience-building practices were maintained online during quarantine. This article contributes to the literature on social cohesion, first, by departing from children and youth views of community dynamics in their neighborhood and, second, by connecting social cohesion to resilience-building in the context of an auto-constructed, underprivileged neighborhood in Latin America and the COVID-19 pandemic. Moreover, it contributes to the literature on the photovoice methodology and the expanding work on digital ethnography, respectively by showing the efficacy of photovoice when researching community-related themes with children and youth, and investigating neighborhood-based Facebook groups as a space for enhancing social cohesion and resilience in times of crisis.
C1 [Mollinger, Isabelle] Univ Amsterdam, Ctr Latin Amer Res & Documentat CEDLA, Amsterdam, Netherlands.
C3 University of Amsterdam
RP Mollinger, I (corresponding author), Univ Amsterdam, Ctr Latin Amer Res & Documentat CEDLA, Amsterdam, Netherlands.
EM i.mollinger@uva.nl
OI Mollinger, Isabelle/0000-0002-7701-0819
FU Prince Bernhard Culture Fund
FX This work was supported by Prince Bernhard Culture Fund.
CR Airoldi M, 2018, INT J SOC RES METHOD, V21, P661, DOI 10.1080/13645579.2018.1465622
   ALLEN Adriana., 2020, Reder. Vol, V4, P1, DOI [10.55467/reder.v4i2.46, DOI 10.55467/REDER.V4I2.46]
   AlSayyad N., 2004, URBAN INFORMALITY TR, P7
   Alzate Quintero Gustavo A., 2014, Estudios Polticos, V44, P191, DOI [https://doi.org/10.17533/udea.espo.19540, DOI 10.17533/UDEA.ESPO.19540]
   Anglil Marc., 2011, Informalize! Essays on the Political Economy of Urban Form
   Augsberger A, 2022, J COMMUNITY PSYCHOL, V50, P3700, DOI 10.1002/jcop.22866
   Berrio Fabian, 2019, Documentary
   Brown K., 2015, Resilience, development and global change, DOI [10.4324/9780203498095, DOI 10.4324/9780203498095]
   Buckband CA, 2023, ANTHROPOL EDUC QUART, V54, P297, DOI 10.1111/aeq.12460
   Burrell J, 2009, FIELD METHOD, V21, P181, DOI 10.1177/1525822X08329699
   Chevée A, 2022, SOC MOVEMENT STUD, V21, P413, DOI 10.1080/14742837.2021.1890574
   Chonody J, 2013, J COMMUNITY PSYCHOL, V41, P84, DOI 10.1002/jcop.21515
   Ciorici P, 2019, URBAN AFF REV, V55, P1702, DOI 10.1177/1078087418755515
   Clark WAV, 2018, J POPUL RES, V35, P217, DOI 10.1007/s12546-018-9207-x
   Connolly Priscilla., 2017, Marginal Urbanisms: Informal and Formal Development in Cities of Latin America
   Corburn J, 2020, J URBAN HEALTH, V97, P348, DOI 10.1007/s11524-020-00438-6
   Cruwys T, 2022, J ENVIRON PSYCHOL, V81, DOI 10.1016/j.jenvp.2022.101816
   de Medellin Alcaldia, 2020, Perfil Demografico por Barrio-Comuna 4 Aranjuez 2016-2020
   De Soto H., 2000, The Mystery of Capital: Why Capitalism Triumphs in the West and Fails Everywhere Else
   Doshi Deepti., 2018, Resilient Cities, V18
   Duffy L, 2018, VIOLENCE AGAINST WOM, V24, P421, DOI 10.1177/1077801217708058
   Forrest R, 2001, URBAN STUD, V38, P2125, DOI 10.1080/00420980120087081
   Freire Paulo., 1973, 1974. Educational Critical Consciousness
   Gilbert Alan., 1985, HOUSING
   Gilbert L, 2015, INT J URBAN REGIONAL, V39, P518, DOI 10.1111/1468-2427.12249
   Gomez Barrera E., 2005, Moravia: memorias de un puerto urbano
   Gonzalez Granados Paula, 2011, Analisis de lapractica fotografica, los discursos y las representaciones de ninos y adolescentes en el contexto de talleres de fotografia participativa. Dos estudios de caso
   Guerrero AL, 2010, ANTHROPOL EDUC QUART, V41, P55, DOI 10.1111/j.1548-1492.2010.01067.x
   Habib RR, 2020, PLOS MED, V17, DOI 10.1371/journal.pmed.1003283
   Hallett RE, 2014, J CONTEMP ETHNOGR, V43, P306, DOI 10.1177/0891241613497749
   Hernández Hernández Alberto, 2018, Alteridades, V28, P99, DOI 10.24275/uam/izt/dcsh/alteridades/2018v28n55/hernandez
   Hernndez Garcia Jaime., 2017, Marginal Urbanisms Informal and Formal Development in Cities of Latin America, P117
   Herrero Anna Vanessa, 2023, The Washington Post
   Hine C., 2016, The SAGE handbook of online research methods, P401, DOI DOI 10.4135/9781473957992
   Hine Christine, 2000, Virtual Ethnography
   Holgun Cielo., 2018, Moravia Manifesto
   Humble S, 2023, BMJ OPEN, V13, DOI 10.1136/bmjopen-2022-067680
   Kingsbury M, 2015, PSYCHOL MED, V45, P3239, DOI 10.1017/S0033291715001245
   Klaufus C., 2012, International Encyclopedia of Housing and Home, P70, DOI [https://doi.org/10.1016/B978-0-08-047163-1.00482-3, DOI 10.1016/B978-0-08-047163-1.00482-3]
   Klaufus C., 2012, Urban Residence: Housing and Social Transformations in Globalizing Ecuador
   Lazar Sian., 2008, ALTO REBEL CITY SELF
   Madonsela S, 2017, S AFR REV SOCIOL, V48, P84, DOI 10.1080/21528586.2017.1299040
   Matos de Oliveira Ana Luza., 2021, COVID-19 and Cities, DOI [https://doi.org/10.1007/978-3-030-84134-8, DOI 10.1007/978-3-030-84134-8]
   Middleton Alan., 2019, The Informal Sector in Ecuador. Artisans
   Müller FI, 2017, INT SOCIOL, V32, P493, DOI 10.1177/0268580917701585
   Ospina-Alvarado M. C., 2017, Children Affected by Armed Conflict, DOI [https://doi.org/10.7312/deno17472-006, DOI 10.7312/DENO17472-006]
   Phelan SK, 2013, QUAL INQ, V19, P81, DOI 10.1177/1077800412462987
   Raby R, 2018, INT J QUAL METH, V17, DOI 10.1177/1609406918790681
   Riao-Alcal Pilar., 2006, Dwellers of Memory: Youth and violence in Medelln, Colombia
   Rivera KM, 2023, J COMMUNITY PSYCHOL, V51, P1736, DOI 10.1002/jcop.22956
   Roberts LT, 2022, CHILD YOUTH SERV REV, V139, DOI 10.1016/j.childyouth.2022.106563
   Samper J., 2017, UPLanD Journal of Urban Planning, Landscape Environmental Design, V2, P183, DOI [10.6092/2531-9906/5265, DOI 10.6092/2531-9906/5265]
   Sheppard E, 2020, ANTIPODE, V52, DOI 10.1111/anti.12601
   Sinclair K, 2022, SSM-QUAL RES HEALTH, V2, DOI 10.1016/j.ssmqr.2022.100078
   Slone M, 2021, CURR PSYCHIAT REP, V23, DOI 10.1007/s11920-021-01283-3
   Stevens R, 2017, NEW MEDIA SOC, V19, P950, DOI 10.1177/1461444815625941
   TONKISS FRAN., 2012, Informalize! Essays on the Political Economy of Urban Form 1, P55
   Turner JohnF., 1976, Housing by People: Towards Autonomy in Building Environments
   United Nations, 2018, WORLD URBANIZATION P
   Urbanik MM, 2020, QUAL SOCIOL, V43, P213, DOI 10.1007/s11133-020-09445-0
   Vaccarino-Ruiz SS, 2022, CULT DIVERS ETHN MIN, V28, P440, DOI 10.1037/cdp0000457
   Varley A, 2013, ENVIRON PLANN D, V31, P4, DOI 10.1068/d14410
   Vertigans S, 2020, COMMUNITY DEV J, V55, P624, DOI 10.1093/cdj/bsz012
   Wang C, 1997, HEALTH EDUC BEHAV, V24, P369, DOI 10.1177/109019819702400309
   Wang CC, 2001, HEALTH EDUC BEHAV, V28, P560, DOI 10.1177/109019810102800504
NR 65
TC 2
Z9 2
U1 0
U2 2
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1473-3285
EI 1473-3277
J9 CHILD GEOGR
JI Child. Geogr.
PD 2024 JUN 21
PY 2024
DI 10.1080/14733285.2024.2352363
EA JUN 2024
PG 15
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA WU5K5
UT WOS:001257398500001
OA hybrid
DA 2025-04-22
ER

PT J
AU Freitas, AC
   de Oliveira, CRS
   Gomes, PFD
   Chiroli, DMD
   Gerônimo, BM
   Zola, FC
   Aragao, FV
AF Freitas, Alexandre Conte
   de Oliveira, Carlos Rafael Silva
   Gomes, Pedro Fernandes de Oliveira
   Chiroli, Daiane Maria de Genaro
   Geronimo, Bruna Maria
   Zola, Fernanda Cavicchioli
   Aragao, Franciely Velozo
TI Risk management in smart cities: influence analysis using DEMATEL
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
LA English
DT Article; Early Access
DE DEMATEL; risk management; smart cities; urban governance
ID CYBER SECURITY; BIG DATA; TECHNOLOGY; GOVERNANCE
AB The rapid urban growth has caused significant transformations in city morphology, resulting in complex social and environmental challenges. Smart Cities emerge as an integrative solution, combining technology and strategic management to optimise urban life. However, the adoption of these innovations also introduces risks that can affect the quality of services provided and the well-being of the population. This study aims to explore risk management in Smart Cities by identifying and prioritising the risks with the greatest influence on urban performance. The methodology was based on an adaptation of the risk management process proposed by the ISO 31000:2018 standard, with the identification of major risks conducted through a literature review. Six risks were identified and classified into technical and non-technical categories, and their interrelationships were analyzed using the multicriteria DEMATEL method. The results reveal that technical risks associated with the implementation of the Internet of Things (IoT) and Artificial Intelligence (AI), as well as strategic risks, are the most impactful. These findings expand the understanding of risk prioritisation in urban environments and provide practical guidance for managers in developing effective mitigation strategies, contributing to the sustainable and resilient development of Smart Cities.
C1 [Freitas, Alexandre Conte] State Univ Maringa UEM, Prod Engn Dept, Maringa, Brazil.
   [de Oliveira, Carlos Rafael Silva; Aragao, Franciely Velozo] Univ Fed Santa Catarina, UFSC, Text Engn Dept, Blumenau, Brazil.
   [Gomes, Pedro Fernandes de Oliveira] Pontifical Catholic Univ Parana PUC, Dept Ind Engn, Curitiba, Brazil.
   [Chiroli, Daiane Maria de Genaro] Fed Univ Technol Parana UTFPR, Coordinat Text Engn, Apucarana, Brazil.
   [Geronimo, Bruna Maria] State Univ Parana, UNESPAR, Prod Engn Dept, Campo Mourao, Brazil.
   [Zola, Fernanda Cavicchioli] Fed Univ Technol Parana UTFPR, Dept Humanities, Apucarana, Brazil.
C3 Universidade Estadual de Maringa; Universidade Federal de Santa Catarina
   (UFSC); Universidade Tecnologica Federal do Parana; Universidade
   Tecnologica Federal do Parana
RP Chiroli, DMD (corresponding author), Fed Univ Tecnol Parana, UTFPR, Apucarana, PR, Brazil.
EM daianechiroli@utfpr.edu.br
RI de Oliveira, Carlos Rafael/AAZ-7217-2020; CHIROLI, DAIANE/K-2761-2018;
   Aragão, Franciely/I-8299-2018; ZOLA, Fernanda/IAR-2201-2023
OI Fernandes de Oliveira Gomes, Pedro/0000-0002-1186-394X
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil
   (CAPES) [001]
FX This work was supported by Coordenacao de Aperfeicoamento de Pessoal de
   Nivel Superior - Brasil (CAPES) [grant number 001].
CR Aguilar L., 2020, 2020 INT C EL COMM C
   Ahad MA, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102301
   Ahvenniemi H, 2017, CITIES, V60, P234, DOI 10.1016/j.cities.2016.09.009
   Al Sharif R, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103542
   Allam Z, 2019, CITIES, V89, P80, DOI 10.1016/j.cities.2019.01.032
   Alshehri J., 2024, 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), pe407
   Ande R, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101728
   Andrade R, 2022, RISKS, V10, DOI 10.3390/risks10080162
   Angelidou M, 2015, CITIES, V47, P95, DOI 10.1016/j.cities.2015.05.004
   [Anonymous], 2013, ISO/TC 268
   [Anonymous], 2019, Sustainable Cities and CommunitiesIndicators for Smart Cities
   [Anonymous], 2018, Risk management-Guidelines
   Aragao FV, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15086695
   Aragao FV, 2023, TECHNOL ANAL STRATEG, V35, P1250, DOI 10.1080/09537325.2021.1999405
   Ariyachandra MRMF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151511910
   Arroub A, 2016, 2016 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM), pP180
   Awuah Emmanuel, 2023, JCMAN, V20, P89, DOI 10.35683/jcman1068.216
   Ben Atitallah S, 2020, COMPUT SCI REV, V38, DOI 10.1016/j.cosrev.2020.100303
   Berst J, 2018, IEEE ELECTRIF MAG, V6, P112, DOI 10.1109/MELE.2018.2816849
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Botello JV, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20164636
   Bouramdane AA, 2023, SMART CITIES-BASEL, V6, P2849, DOI 10.3390/smartcities6050128
   Boyko V., 2021, Municipal economy of cities, V1, P241, DOI [https://doi.org/10.33042/2522-1809-2021-1-161-241-249, DOI 10.33042/2522-1809-2021-1-161-241-249]
   Braga IFB, 2021, TECHNOL SOC, V66, DOI 10.1016/j.techsoc.2021.101687
   Chauhan AK, 2023, ENVIRON SCI POLLUT R, V30, P124884, DOI [10.1007/s11356-022-24967-6, 10.1080/07366981.2023.2165293]
   Chen Z, 2022, SUSTAIN ENERGY TECHN, V49, DOI 10.1016/j.seta.2021.101724
   Chentouf F. Z., 2023, Int J Electr Comput Eng, V13, P1848, DOI DOI 10.11591/IJECE.V13I2.PP1848-1857
   Chiroli DMD, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103960
   Chuang MT, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101494
   Dolla T., 2021, Lecture Notes in Civil Engineering, P55, DOI [https://doi.org/10.1007/978-981-16-4396-56, DOI 10.1007/978-981-16-4396-56]
   Edjossan-Sossou AM, 2020, INT J DISAST RISK RE, V45, DOI 10.1016/j.ijdrr.2020.101474
   Feamster N., 2017, Colo. Tech. LJ, P16
   Freire CAR, 2023, IEEE T ENG MANAGE, V70, P1881, DOI 10.1109/TEM.2021.3098665
   Gabrys J, 2014, ENVIRON PLANN D, V32, P30, DOI 10.1068/d16812
   Galego N. M. C., 2021, Smart Innovation, Systems and Technologies, V256, P17, DOI [https://doi.org/10.1007/978-981-16-5063-52, DOI 10.1007/978-981-16-5063-52]
   Garcia Leticia Clipes, 2023, Cad. Metrop., V25, P875, DOI 10.1590/2236-9996.2023-5805
   Gavurova B, 2022, SOCIO-ECON PLAN SCI, V82, DOI 10.1016/j.seps.2022.101253
   Tzeng GH, 2007, EXPERT SYST APPL, V32, P1028, DOI 10.1016/j.eswa.2006.02.004
   Hajduk S, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10050044
   Hamilton E., 2016, The benefits and risks of policymakers use of smart city technology
   Hamzehkolaei A. G., 2021, International Journal of Urban Management and Energy Sustainability, V2, P59, DOI [https://doi.org/10.22034/jumes.2021.249029, DOI 10.22034/JUMES.2021.249029]
   He W, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159738
   Herath H., 2022, Int. J. Inform. Managem. Data Insights, V2, P100076, DOI DOI 10.1016/J.JJIMEI.2022.100076
   Holla K, 2016, J CHEM HEALTH SAF, V23, P9, DOI 10.1016/j.jchas.2015.03.003
   Hossain ST, 2024, APPL SCI-BASEL, V14, DOI 10.3390/app14135501
   Houichi M., 2022, 15 INT C SEC INF NET, P01, DOI [https://doi.org/10.1109/sin56466.2022.9970494, DOI 10.1109/SIN56466.2022.9970494]
   Hsu CW, 2013, J CLEAN PROD, V56, P164, DOI 10.1016/j.jclepro.2011.09.012
   Ismagilova E, 2022, INFORM SYST FRONT, V24, P393, DOI 10.1007/s10796-020-10044-1
   ISO 37120, 2018, Sustainable development of communities: indicators for city services and quality of life
   Iwuanyanwu U., 2023, Journal of Technology Innovation, V3, P38, DOI [https://doi.org/10.26480/jtin.01.2023.38.43, DOI 10.26480/JTIN.01.2023.38.43]
   Jinlan Guo, 2020, Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing (AISC 1117), P1903, DOI 10.1007/978-981-15-2568-1_266
   Joyce A, 2024, CITIES, V148, DOI 10.1016/j.cities.2024.104859
   Kalinin M, 2021, MACHINES, V9, DOI 10.3390/machines9040078
   Kandt J, 2021, CITIES, V109, DOI 10.1016/j.cities.2020.102992
   Khalilzadeh M., 2024, Decision Making: Applications in Management and Engineering, V7, P442, DOI [https://doi.org/10.31181/dmame712024884, DOI 10.31181/DMAME712024884]
   Khan A, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103517
   Khan I, 2021, RESOUR POLICY, V72, DOI 10.1016/j.resourpol.2021.102109
   Khan MA, 2022, IEEE ACCESS, V10, P16028, DOI 10.1109/ACCESS.2021.3115987
   Kirytopoulos K., 2022, Internet of Things, P123, DOI [https://doi.org/10.1007/978-3-030-97818-17, DOI 10.1007/978-3-030-97818-17]
   Koca G, 2021, TELEMAT INFORM, V62, DOI 10.1016/j.tele.2021.101625
   Kowkabi L., 2022, Geographical Urban Planning Research (GUPR), V10, P1
   Kristiningrum E., 2021, IOP Conference Series: Materials Science and Engineering, V1096, DOI 10.1088/1757-899X/1096/1/012013
   Krulk O., 2024, Acta Polytechnica CTU Proceedings, V46, P30, DOI [10.14311/APP.2024.46.0030, DOI 10.14311/APP.2024.46.0030]
   Kuddus MA, 2020, PUBLIC HEALTH REV, V41, DOI 10.1186/s40985-019-0116-0
   Kutty AA, 2023, CITIES, V137, DOI 10.1016/j.cities.2023.104293
   Lacson JJ, 2023, SMART CITIES-BASEL, V6, P1744, DOI 10.3390/smartcities6040081
   Lazzaretti Kellen, 2019, urbe, Rev. Bras. Gest. Urbana, V11, pe20190118, DOI 10.1590/2175-3369.011.001.e20190118
   Lee I, 2020, FUTURE INTERNET, V12, DOI 10.3390/fi12090157
   Lom M, 2021, INT J INFORM MANAGE, V56, DOI 10.1016/j.ijinfomgt.2020.102092
   Lopes N. V., 2017 IEEE INT C SMAR
   Lupton B, 2022, 2022 IEEE 12TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), P702, DOI 10.1109/CCWC54503.2022.9720824
   Lyu HM, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107154
   Mabrouk M, 2023, INT J DISAST RISK RE, V91, DOI 10.1016/j.ijdrr.2023.103684
   Makki AA, 2024, URBAN SCI, V8, DOI 10.3390/urbansci8010010
   McLean S, 2023, J EXP THEOR ARTIF IN, V35, P649, DOI 10.1080/0952813X.2021.1964003
   Mecca B, 2023, J MULTI-CRITERIA DEC, V30, P203, DOI 10.1002/mcda.1818
   Mirzaei R., 2024, Cities of tomorrow: Urban resilience and climate change preparedness, P269
   Mohamed Nachaat, 2023, 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), P667, DOI 10.1109/ICACITE57410.2023.10182730
   Mohamed N., 2022, 2022 IEEE INT SYST C
   Mohammadpourlima N, 2024, LECT NOTES COMPUT SC, V14820, P291, DOI 10.1007/978-3-031-65285-1_19
   Morozova IA, 2022, RISKS, V10, DOI 10.3390/risks10020034
   Mutambik I, 2024, LAND-BASEL, V13, DOI 10.3390/land13091471
   Namazian A, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16245024
   Oliha J.S., 2024, Engineering Science Technology Journal, V5, P496, DOI [10.51594/estj.v5i2.827, DOI 10.51594/ESTJ.V5I2.827]
   Padmapriya V., 2021, Blockchain for Smart Cities, P17, DOI 10.1016/B978-0-12-824446-3.00015-6
   Paiva S, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21062143
   Park K., 2018, International Journal of Advanced Science and Technology, V110, P23, DOI [https://doi.org/10.14257/ijast.2018.110.03, DOI 10.14257/IJAST.2018.110.03]
   Peaka M., 2020, Proceedings of CBU in Social Sciences, V1, P179, DOI [https://doi.org/10.12955/pss.v1.68, DOI 10.12955/PSS.V1.68]
   Pee LG, 2022, INT J INFORM MANAGE, V63, DOI 10.1016/j.ijinfomgt.2021.102446
   Pereira GV, 2018, INFORM POLITY, V23, P143, DOI 10.3233/IP-170067
   Pinheiro Lara Kamila Silva, 2023, Interações (Campo Grande), V24, P193, DOI 10.20435/inter.v24i1.3648
   Porto J, 2017, DG.O 2017: THE PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH: INNOVATIONS AND TRANSFORMATIONS IN GOVERNMENT, P461, DOI 10.1145/3085228.3085276
   Radu LD, 2020, SMART CITIES-BASEL, V3, P1022, DOI 10.3390/smartcities3030051
   Ranchordás S, 2018, RES HANDB INFORM LAW, P245
   Rebolledo-Leiva R., 2023, Clean. Prod. Lett, V5, P100046, DOI [10.1016/j.clpl.2023.100046, DOI 10.1016/J.CLPL.2023.100046]
   Saffari G., 2024, International Journal of Industrial Engineering and Operational Research, V6, P1
   Santana E. S., 2019, International Journal of Advanced Engineering Research and Science, V6, P13, DOI [https://doi.org/10.22161/ijaers.6.2.2, DOI 10.22161/IJAERS.6.2.2]
   Sarwesh P, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103478
   Schueffel N. G. R. B., 2019, The crypto Encycplopedia. Coins, tokens and digital assets from A TO Z
   Seker S, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104569
   Sengan S, 2020, FUTURE GENER COMP SY, V112, P724, DOI 10.1016/j.future.2020.06.028
   Shao QG, 2023, CLEAN TECHNOL ENVIR, V25, P3027, DOI 10.1007/s10098-023-02547-7
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sharma Shamneesh, 2024, 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), P1570, DOI 10.1109/ICETSIS61505.2024.10459607
   Shayan S., 2022, Advances in Science, Technology Innovation, P77, DOI [https://doi.org/10.1007/978-3-030-98423-66, DOI 10.1007/978-3-030-98423-66]
   Shayan S, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104320
   Shuang Q, 2024, J ENVIRON MANAGE, V355, DOI 10.1016/j.jenvman.2024.120568
   Singh P., 2019, Proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications
   Singh S, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102364
   Sovacool BK, 2020, RENEW SUST ENERG REV, V120, DOI 10.1016/j.rser.2019.109663
   Szpilko D., 2023, Eng. Managem. Prod. Servi, V15, P53, DOI [10.2478/emj-2023-0028, DOI 10.2478/EMJ-2023-0028]
   Tamboli A., 2019, Keeping your AI under control: A pragmatic guide to identifying, evaluating, and quantifying risks, P31
   Tang MJ, 2021, IEEE T IND INFORM, V17, P4150, DOI 10.1109/TII.2020.3022182
   Tcholtchev N, 2021, SMART CITIES-BASEL, V4, P156, DOI 10.3390/smartcities4010009
   Thakkar JJ., 2021, Studies in Systems, Decision and Control, P139, DOI [10.1007/978-981-33-4745-8_9, DOI 10.1007/978-981-33-4745-89]
   Ullah F, 2021, TECHNOL FORECAST SOC, V167, DOI 10.1016/j.techfore.2021.120743
   Ullah Z, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104697
   Vidiasova L, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102158
   Vitunskaite M, 2019, COMPUT SECUR, V83, P313, DOI 10.1016/j.cose.2019.02.009
   Wang WH, 2021, J LOSS PREVENT PROC, V72, DOI 10.1016/j.jlp.2021.104552
   Xie JF, 2019, IEEE COMMUN SURV TUT, V21, P2794, DOI 10.1109/COMST.2019.2899617
   Yigitcanlar T, 2024, CITIES, V152, DOI 10.1016/j.cities.2024.105151
   Yigitcanlar T, 2020, ENERGIES, V13, DOI 10.3390/en13061473
   Zeng SZ, 2023, J BUS RES, V154, DOI 10.1016/j.jbusres.2022.08.045
NR 124
TC 0
Z9 0
U1 7
U2 7
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1747-7891
EI 1878-0059
J9 ENVIRON HAZARDS-UK
JI Environ. Hazards
PD 2025 MAR 4
PY 2025
DI 10.1080/17477891.2025.2467637
EA MAR 2025
PG 27
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Z4C7J
UT WOS:001438414200001
DA 2025-04-22
ER

PT J
AU Arias, A
   Otamendi-Irizar, I
   Grijalba, O
   Oregi, X
   Hernandez-Minguillon, RJ
AF Arias, Alba
   Otamendi-Irizar, Irati
   Grijalba, Olatz
   Oregi, Xabat
   Hernandez-Minguillon, Rufino Javier
TI Surveillance and Foresight Process of the Sustainable City Context:
   Innovation Potential Niches and Trends at the European Level
SO SUSTAINABILITY
LA English
DT Article
DE surveillance and foresight process; sustainable cities development;
   international trends; 2030 Agenda
ID CLIMATE-CHANGE; URBAN; COMMUNITY; AGENDA; POLICY
AB Over the last decades, the environmental situation of the planet has worsened. Much of the pollution and energy consumption is attributed to cities, which are expected to increase in size and population in the coming years. It is therefore necessary to develop systems to make them more sustainable and resilient. In this regard, different agendas, strategies, and regulations have been published, such as the 2030 Agenda. The current research carried out a surveillance and foresight process at the European level in the field of the sustainable city, analyzing actions accomplished, ongoing, or forthcoming from 2014 to the present (2020) and coming years. The objective is to identify the potential niches and opportunities for decision making to develop successful projects in this sector. The study concludes that one of the most promoted themes is related to the environment, highlighting nature and biodiversity in cities to improve environmental quality and achieve the decarbonization necessary to fight climate change. Furthermore, society plays an important role, emphasizing the need to promote the population's inclusion and empowerment. It also underlines the promotion of urban regeneration, which should include energy transition and digitalization to create smart cities, with local circular economies.
C1 [Arias, Alba; Otamendi-Irizar, Irati; Grijalba, Olatz; Oregi, Xabat; Hernandez-Minguillon, Rufino Javier] Univ Basque Country UPV EHU, Dept Architecture, CAVIAR Res Grp, Plaza Onati 2, San Sebastian 20018, Spain.
C3 University of Basque Country
RP Arias, A; Hernandez-Minguillon, RJ (corresponding author), Univ Basque Country UPV EHU, Dept Architecture, CAVIAR Res Grp, Plaza Onati 2, San Sebastian 20018, Spain.
EM albajuncal.arias@ehu.eus; irati.otamendi@ehu.eus;
   olatz.grijalba@ehu.eus; xabat.oregi@ehu.eus;
   rufinojavier.hernandez@ehu.eus
RI Hernandez_Minguillon, Rufino/AAI-6718-2021; oregi, xabat/AAE-7825-2021;
   OTAMENDI-IRIZAR, IRATI/HLP-4651-2023; Oregi, Xabat/S-4930-2016
OI Hernandez_Minguillon, Rufino/0000-0001-5322-9659; Oregi,
   Xabat/0000-0003-1940-5182; OTAMENDI IRIZAR, IRATI/0000-0002-9006-0976;
   arias, alba/0000-0002-7318-8011; GRIJALBA, OLATZ/0000-0002-8150-9639
FU directorate of territorial planning and the urban agenda of the
   department of territorial planning, housing, and transport of the Basque
   government
FX This research is included in the project CISO30, which was funded by the
   directorate of territorial planning and the urban agenda of the
   department of territorial planning, housing, and transport of the Basque
   government.
CR Akande A, 2019, SUSTAIN CITIES SOC, V44, P475, DOI 10.1016/j.scs.2018.10.009
   Amoroso S, 2018, ECON INNOV NEW TECH, V27, P404, DOI 10.1080/10438599.2017.1374037
   [Anonymous], 2017, Urban development
   [Anonymous], 2016, 20 Years of Carbon Capture and Storage-Accelerating Future Deployment
   Arias A., 2022, INT J TRANSP DEV INT, V6, P58, DOI [10.2495/TDI-V6-N1-58-65, DOI 10.2495/TDI-V6-N1-58-65]
   Arsenio E, 2016, RES TRANSP ECON, V55, P30, DOI 10.1016/j.retrec.2016.04.008
   Bebber S, 2021, CLEAN ENG TECHNOL, V5, DOI 10.1016/j.clet.2021.100271
   Caprotti F, 2017, URBAN RES PRACT, V10, P367, DOI 10.1080/17535069.2016.1275618
   Carreón JR, 2018, RESOUR CONSERV RECY, V132, P258, DOI 10.1016/j.resconrec.2017.08.004
   Chatkaewnapanon Y, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127413
   Chelleri L, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102985
   Maestosi PC, 2021, ENERGIES, V14, DOI 10.3390/en14010216
   Cohes3ion, 2019, INT TERR DIM COH S3
   Dabbous A, 2021, J INNOV KNOWL, V6, P58, DOI 10.1016/j.jik.2020.11.001
   Eckert E, 2021, J RISK FINANC MANAG, V14, DOI 10.3390/jrfm14020080
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   European Commission, EU POL URB ENV OV
   European Commission, CIT URB DEV
   European Commission Action Plans, PART URB AG EU
   European Commission Directorate-General for Research and Innovation EU Research and Innovation in Action against the Coronavirus, 2021, FUND RES IMP
   European Parliament, 2019, European Papers
   Flecha R., MONITORING IMPACT EU
   Henfrey T, 2018, ENVIRON INNOV SOC TR, V29, P52, DOI 10.1016/j.eist.2018.05.002
   Inage S, 2020, SUSTAIN ENERGY TECHN, V39, DOI 10.1016/j.seta.2020.100710
   Juraschek M, 2018, PROC CIRP, V69, P72, DOI 10.1016/j.procir.2017.11.067
   Kougias I, 2021, RENEW SUST ENERG REV, V144, DOI 10.1016/j.rser.2021.111017
   Le Gallic T., 2022, FUTURE TRANSP, V2, P605, DOI [10.3390/futuretransp2030033, DOI 10.3390/FUTURETRANSP2030033]
   Magalhaes I, 2022, RES TRANSP BUS MANAG, V43, DOI 10.1016/j.rtbm.2021.100743
   Medina C, 2019, P 16 CONGRESO ESPA O
   Nguyen T. M. P., 2020, Urban Transformations, V2, P1, DOI [10.1186/s42854-020-00017-7, DOI 10.1186/S42854-020-00017-7]
   Omer MAB, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101869
   Otamendi-Irizar I, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116059
   Otamendi-Irizar I, 2022, ENERGY RES SOC SCI, V84, DOI 10.1016/j.erss.2021.102363
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Shulla K, 2019, J CLEAN PROD, V237, DOI 10.1016/j.jclepro.2019.117809
   SmartEncity, 2016, SMARTENCITY SMART ZE
   Szpilko D, 2020, ENERGIES, V13, DOI 10.3390/en13071782
   United Nations, REP UN EC NETW UN 75
   United Nations, 2015, SUSTAINABLE DEV GOAL
   United Nations UN, 2019, SUSTAINABLE DEV GOAL
   UNPD (United Nations Population Division), 2018, World urbanization prospects 2018
   von der Leyen Ursula, 2019, Political Guidelines for the next European Commission 2019-2024
   Yang YT, 2021, ENVIRON IMPACT ASSES, V89, DOI 10.1016/j.eiar.2021.106585
NR 43
TC 4
Z9 6
U1 1
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2022
VL 14
IS 14
AR 8795
DI 10.3390/su14148795
PG 13
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 3H1IT
UT WOS:000831796100001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Skubis, I
   Wolniak, R
   Grebski, WW
AF Skubis, Ida
   Wolniak, Radoslaw
   Grebski, Wieslaw Wes
TI AI and Human-Centric Approach in Smart Cities Management: Case Studies
   from Silesian and Lesser Poland Voivodships
SO SUSTAINABILITY
LA English
DT Article
DE AI in management; smart city; human-centric smart city; innovations; AI
   transformation
ID ARTIFICIAL-INTELLIGENCE; MOBILITY; CITY; SYSTEMS; FUTURE
AB The presented paper examines the integration of Artificial Intelligence (AI) in the management of smart cities, focusing on the Silesian and Lesser Poland Voivodships in Poland. This research addresses a notable gap in the analysis of regional AI strategies within urban management, providing a comparative analysis of AI implementation in these two distinct regions. The Silesian Voivodship, with its emphasis on traditional industries such as manufacturing and energy, contrasts with the broader approach of the Lesser Poland Voivodship, which includes applications in life sciences and ICT. The paper explores how AI technologies enhance urban efficiency, sustainability, and livability through practical applications in traffic management, healthcare, energy efficiency, and environmental management. It highlights the importance of a human-centric approach in smart city development, emphasizing inclusivity, transparency, and ethical considerations. The paper also delves into the socio-technical dynamics of AI deployment, illustrating how these technologies can transform urban environments while ensuring that the benefits are equitably distributed and that urban developments are sustainable and resilient. By analyzing specific case studies, the authors aim to provide empirical evidence and insights that contribute to the academic and practical understanding of AI's role in smart cities, ultimately advocating for the design of AI applications that prioritize human well-being and environmental health.
C1 [Skubis, Ida; Wolniak, Radoslaw] Silesian Tech Univ, Fac Org & Management, PL-44100 Gliwice, Poland.
   [Grebski, Wieslaw Wes] Penn State Univ, Penn State Hazleton, 76 Univ Dr, Hazleton, PA 18202 USA.
C3 Silesian University of Technology; Pennsylvania Commonwealth System of
   Higher Education (PCSHE); Pennsylvania State University
RP Wolniak, R (corresponding author), Silesian Tech Univ, Fac Org & Management, PL-44100 Gliwice, Poland.
EM ida.skubis@polsl.pl; rwolniak@polsl.pl; wxg3@psu.edu
RI Wolniak, Radoslaw/ABA-9722-2020; Skubis, Ida/ADS-8213-2022; Wolniak,
   Radoslaw/P-7146-2017
OI Skubis, Ida/0000-0002-2447-9832; Wolniak, Radoslaw/0000-0003-0317-9811
CR Abbas Q, 2023, SENSORS-BASEL, V23, DOI 10.3390/s23218753
   Ahmad K, 2022, COMPUT SCI REV, V43, DOI 10.1016/j.cosrev.2021.100452
   Ahvenniemi H, 2017, CITIES, V60, P234, DOI 10.1016/j.cities.2016.09.009
   Aidi N, 2024, INT J TOUR CITIES, V10, P577, DOI 10.1108/IJTC-03-2022-0056
   Alajlan N.N., 2025, J. Adv. Res. Appl. Sci. Eng. Technol, V47, P94, DOI [10.37934/araset.47.2.94120, DOI 10.37934/ARASET.47.2.94120]
   Allam Z, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105201
   [Anonymous], 2019, Sustainable Cities and CommunitiesIndicators for Smart Cities
   Barrera-Cmara R.A., 2023, Management, Technology, and Economic Growth in Smart and Sustainable Cities, P156
   Barron L, 2022, TECHNOETIC ARTS, V20, P225, DOI 10.1386/tear_00092_1
   Batty M, 2012, EUR PHYS J-SPEC TOP, V214, P481, DOI 10.1140/epjst/e2012-01703-3
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Bokhari SAA, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16104246
   Cannavale A, 2020, ENERGIES, V13, DOI 10.3390/en13061449
   Caragliu A, 2019, TECHNOL FORECAST SOC, V142, P373, DOI 10.1016/j.techfore.2018.07.022
   Cardullo P, 2019, ENVIRON PLAN C-POLIT, V37, P813, DOI 10.1177/0263774X18806508
   Chang KY, 2024, INT J TOUR CITIES, V10, P146, DOI 10.1108/IJTC-05-2023-0088
   Choi TM, 2022, PROD OPER MANAG, V31, P9, DOI 10.1111/poms.13622
   Chourabi H., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P2289, DOI 10.1109/HICSS.2012.615
   commission.europa.eu, ABOUT US
   Herrera-Quintero LF, 2019, PROCEEDINGS OF THE 2019 2ND LATIN AMERICAN CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITS LATAM), DOI 10.1109/itslatam.2019.8721343
   Godwin Raymond, 2023, E3S Web of Conferences, DOI 10.1051/e3sconf/202342601059
   Golubchikov O, 2020, SMART CITIES-BASEL, V3, DOI 10.3390/smartcities3040056
   Goman V.V., 2020, KnE Eng, V5, P67, DOI [10.18502/keg.v5i3.6760, DOI 10.18502/KEG.V5I3.6760]
   Harnal S, 2022, EAI ENDORSED TRANS S, V9, DOI 10.4108/eetsis.vi.489
   Herath H., 2022, Int. J. Inform. Managem. Data Insights, V2, P100076, DOI DOI 10.1016/J.JJIMEI.2022.100076
   Holdsworth M., 2022, CEUR WORKSHOP P, V3239, P52
   Hollands R., 2009, CITY, V12, P303, DOI [DOI 10.1080/13604810802479126, 10.1080/13604810802479126]
   Hollands RG, 2015, CAMB J REG ECON SOC, V8, P61, DOI 10.1093/cjres/rsu011
   Hu WY, 2023, CITIES, V137, DOI 10.1016/j.cities.2023.104271
   Huang KF, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177110
   Ingwersen P, 2018, SCIENTOMETRICS, V117, P1205, DOI 10.1007/s11192-018-2901-9
   Isalova Marzhanat, 2024, BIO Web of Conferences, V113, DOI 10.1051/bioconf/202411305033
   Issaou I., 2025, Int. J. Neutrosophic Sci, V25, P179, DOI [10.54216/IJNS.250116, DOI 10.54216/IJNS.250116]
   Ivars-Baidal J, 2024, INT J CONTEMP HOSP M, V36, P582, DOI 10.1108/IJCHM-03-2022-0322
   Jonek-Kowalska I., 2023, Towards Sustainability and a Better Quality of Life?
   Jonek-Kowalska I, 2023, SMART CITIES-BASEL, V6, P2722, DOI 10.3390/smartcities6050123
   Jonek-Kowalska I, 2023, SMART CITIES-BASEL, V6, P510, DOI 10.3390/smartcities6010024
   Kabus J, 2022, ENERGIES, V15, DOI 10.3390/en15165812
   Katal N., 2024, Smart Cities, P150
   Kaur J., 2024, Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT), P265
   Kaur J., 2024, Emerging Materials, Technologies, and Solutions for Energy Harvesting, P258
   Kaur J., 2024, Secure and Intelligent IoT-Enabled Smart Cities, P334
   Kitchin R, 2015, CAMB J REG ECON SOC, V8, P131, DOI 10.1093/cjres/rsu027
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Kolukuluri M, 2023, Hawaii Int Con Sys S, P6528
   Kubik A, 2023, SMART CITIES-BASEL, V6, P1858, DOI 10.3390/smartcities6040086
   Kuguoglu BK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112295
   Leal W, 2022, ENVIRON SCI EUR, V34, DOI 10.1186/s12302-022-00629-9
   Leali F., 2022, INT C TECHN IM GREEN, P273
   Liao ZJ, 2020, CORP SOC RESP ENV MA, V27, P2016, DOI 10.1002/csr.1942
   Libana-Cabanillas F., 2024, Handbook on Sustainable Urban Tourism, P159
   Lytras MD, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061998
   Mangarah A.S., 2024, Advances in Science Technology and Innovation, P117
   Minardi R, 2023, SMART CITIES-BASEL, V6, P179, DOI 10.3390/smartcities6010010
   Monzon Andres, 2015, Proceedings of the 2015 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)
   Moumen I., 2023, J. Electr. Eng. Comput. Sci, V32, P985, DOI [10.11591/ijeecs.v32.i2.pp985-993, DOI 10.11591/IJEECS.V32.I2.PP985-993]
   Moumen N, 2024, SMART CITIES-BASEL, V7, P712, DOI 10.3390/smartcities7020029
   Münch C, 2022, TECHNOL FORECAST SOC, V176, DOI 10.1016/j.techfore.2021.121361
   Mutambik I, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16145970
   Nandhini B., 2023, P INT C SUST COMM NE, P864, DOI 10.1109/ICSCNA58489.2023.10370218
   Narkoziev Amanbek, 2024, E3S Web of Conferences, V535, DOI 10.1051/e3sconf/202453505004
   Natarajan N.R., 2024, Secure and Intelligent IoT-Enabled Smart Cities, P296
   Nayak A., 2024, Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics, P221
   Nundy S, 2021, J CLEAN PROD, V301, DOI 10.1016/j.jclepro.2021.126854
   O'Malley P, 2022, THEOR CRIMINOL, V26, P40, DOI 10.1177/1362480620972703
   Owusu A, 2024, EDUC INF TECHNOL, V29, P4417, DOI 10.1007/s10639-023-11999-9
   Paiman N, 2024, J APPL RES HIGH EDUC, V16, P776, DOI 10.1108/JARHE-03-2023-0114
   Partanen Tuija, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20156519
   Prabowo Nugroho Agung, 2024, E3S Web of Conferences, V500, DOI 10.1051/e3sconf/202450001012
   Prasad D., 2024, Promoting Multi-Sector Sustainability with Policy and Innovation, P177
   Radu LD, 2020, SMART CITIES-BASEL, V3, P1022, DOI 10.3390/smartcities3030051
   Rahman A.-S., 2024, P 2 INT C ADV SMART
   Rastogi R., 2024, Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT), P166
   Ray Jayanta Kumar, 2023, Confluence of Artificial Intelligence and Robotic Process Automation. Smart Innovation, Systems and Technologies (335), P289, DOI 10.1007/978-981-19-8296-5_12
   Raza A., 2022, P 2022 INT C EM TECH, P1
   Renugadevi R., 2024, Analyzing Current Digital Healthcare Trends Using Social Networks, P178
   S.r Ashokkumar, 2022, 2022 International Conference on Computer, Power and Communications (ICCPC), P149, DOI 10.1109/ICCPC55978.2022.10072071
   Broujeny RS, 2021, ENERGIES, V14, DOI 10.3390/en14040998
   Sasidharan A, 2024, KSII T INTERNET INF, V18, P1059, DOI 10.3837/tiis.2024.04.013
   Scala D, 2024, SMART CITIES-BASEL, V7, P597, DOI 10.3390/smartcities7010024
   Schintler LA, 2022, J URBAN MANAG, V11, P256, DOI 10.1016/j.jum.2022.05.004
   Seng KP, 2023, IEEE ACCESS, V11, P18038, DOI 10.1109/ACCESS.2023.3243264
   Sha K, 2024, TECHNOL FORECAST SOC, V203, DOI 10.1016/j.techfore.2024.123382
   Shin JE, 2024, ASIAN J TECHNOL INNO, DOI 10.1080/19761597.2024.2367762
   Shorfuzzaman M, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102582
   Skubis I, 2023, Scientific Papers of Silesian University of Technology, P573, DOI [10.29119/1641-3466.2023.189.36, DOI 10.29119/1641-3466.2023.189.36]
   Skubis I, 2023, Scientific Papers of Silesian University of Technology-Organization and Management Series, V176, DOI [10.29119/1641-3466.2023.176.33, DOI 10.29119/1641-3466.2023.176.33]
   Skubis I, 2021, Prawo sztucznej inteligencji i nowych technologii, P169
   SKUBIS I., 2023, Scientific Papers of Silesian University of Technology.Organization Management / Zeszyty Naukowe Politechniki Slaskiej.Seria Organizacji i Zarzadzanie, P599, DOI DOI 10.29119/1641-3466.2023.176.34
   Skubis I., 2022, Organ. Manag. Sci. Q, V3, P97
   Sony M, 2020, TECHNOL SOC, V61, DOI 10.1016/j.techsoc.2020.101248
   Srebalová M, 2022, LAWS-BASEL, V11, DOI 10.3390/laws11050067
   Stecula K, 2023, ENERGIES, V16, DOI 10.3390/en16247988
   Suryawan IWK, 2024, RES GLOB, V8, DOI 10.1016/j.resglo.2023.100181
   Taeihagh A, 2021, REGUL GOV, V15, P1009, DOI 10.1111/rego.12392
   Thuzar M., 2015, Urban Dev, V22, P1
   Turon K, 2023, SMART CITIES-BASEL, V6, P1545, DOI 10.3390/smartcities6030073
   Turon K, 2022, SMART CITIES-BASEL, V5, P875, DOI 10.3390/smartcities5030044
   Vashishth T.K., 2024, Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT), P281
   Verhoef PC, 2015, J RETAILING, V91, P174, DOI 10.1016/j.jretai.2015.02.005
   Vrabie C, 2022, LECT NOTES BUS INF P, V465, P3, DOI 10.1007/978-3-031-23012-7_1
   Wandira R., 2024, Journal of Information Systems Engineering and Business Intelligence, V10, P179, DOI [10.20473/jisebi.10.2.179-190, DOI 10.20473/JISEBI.10.2.179-190]
   Wang BY, 2024, AD HOC NETW, V164, DOI 10.1016/j.adhoc.2024.103628
   Wojtaszek H, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151914359
   Wok A., 2021, PACIS 2021 Proc, V232, P1
   Wolniak R., 2022, Journal of Open Innovation Technology Market and Complexity, V8, DOI 10.3390/joitmc8010017
   Wolniak R, 2024, SMART CITIES-BASEL, V7, P1626, DOI 10.3390/smartcities7040065
   Wolniak R, 2024, SMART CITIES-BASEL, V7, P1346, DOI 10.3390/smartcities7030057
   Wolniak R, 2023, SMART CITIES-BASEL, V6, P1009, DOI 10.3390/smartcities6020049
   Wolniak R, 2023, SMART CITIES-BASEL, V6, P368, DOI 10.3390/smartcities6010018
   Xia X, 2021, SUSTAIN ENERGY TECHN, V47, DOI 10.1016/j.seta.2021.101525
   Yao HA, 2023, J ENVIRON MANAGE, V327, DOI 10.1016/j.jenvman.2022.116879
   Yaqoob I, 2020, IEEE NETWORK, V34, P174, DOI 10.1109/MNET.2019.1900120
   Zahedi R, 2020, ENERGY, V204, DOI 10.1016/j.energy.2020.117935
   Zang HY, 2022, J INTERCONNECT NETW, V22, DOI 10.1142/S0219265921410024
   Zhang X, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032840
   Zulkifli N.S., 2024, J. Adv. Res. Appl. Sci. Eng. Technol, V40, P140, DOI [10.37934/araset.40.2.140151, DOI 10.37934/ARASET.40.2.140151]
NR 117
TC 3
Z9 3
U1 22
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2024
VL 16
IS 18
AR 8279
DI 10.3390/su16188279
PG 26
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA H5S1N
UT WOS:001324028600001
OA gold
DA 2025-04-22
ER

PT J
AU Mao, C
   Yue, AB
   Wang, ZQ
   Zhao, SM
   Su, Y
   Zeng, SY
AF Mao, Chao
   Yue, Aobo
   Wang, Zhuoqi
   Zhao, Shuming
   Su, Yang
   Zeng, Siyuan
TI Are cities genuinely healthy? Diagnosis of urban development from the
   perspective of adaptive capacity
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Adaptive capacity; Decision support framework; Urban planning;
   Sustainable urban development
ID COMPREHENSIVE EVALUATION; SYSTEM; RESILIENT; COMMUNITY; WATER; CITY;
   VULNERABILITY; REGENERATION; SATISFACTION; INDICATORS
AB As urban diseases continue to emerge with the acceleration of urbanization, the transformation of urban governance concepts and systems must be urgently promoted. In dealing with the complex systemic problem of city governance, the concept of adaptation in complex adaptative system (CAS) theory has shown obvious advantages. This approach provides a new perspective for solving this problem in the face of the unprecedented complexity of current disasters. However, research on urban adaptation is currently hindered by imprecise terminology, significant bias, and insufficient empirical evidence. This study reinterprets the concept of urban adaptation in conjunction with CAS theory. The formula for the functional expression of urban adaptation is derived using dissipative structure theory. Indicators are then selected to describe the system of urban adaptive capacity. An adaptive decision support framework is established that covers 29 quantitative and 8 qualitative indicators. The adaptive performance of 12 sample cities is analyzed. Finally, this study provides corresponding planning paths for optimizing urban adaptation based on the evaluation results. The research findings can assist city managers in comprehending the actual situation of cities and provide a basis for formulating targeted governance programs.
C1 [Mao, Chao; Yue, Aobo; Wang, Zhuoqi; Zhao, Shuming; Zeng, Siyuan] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing, Peoples R China.
   [Su, Yang] Curtin Univ, Australasian Joint Res Ctr Bldg Informat Modelling, Sch Design & Built Environm, Perth, WA 6845, Australia.
C3 Chongqing University; Curtin University
RP Yue, AB (corresponding author), Chongqing Univ, Sch Management Sci & Real Estate, Chongqing, Peoples R China.
EM Albert0910@cqu.edu.cn
RI Zenglei, Zhang/AAT-8213-2021; chao, mao/GWC-5519-2022
OI SU, YANG/0000-0002-6290-2128
FU Natural Science Foundation of Chongqing [CSTB2022NSCQ-MSX1622];
   Chongqing Social Science Fund Project [2021yc008]; Fundamental Research
   Funds for Central Universities China [2021CDJSKJC22]; Junior Fellowships
   for Advanced Innovation Thinktank Program of China Association for
   Science and Technology [2021ZZZLFZB1207134]
FX This study was supported by the Natural Science Foundation of Chongqing
   in 2022 (Grant No. CSTB2022NSCQ-MSX1622) , Chongqing Social Science Fund
   Project (Grant No. 2021yc008) , and Fundamental Research Funds for
   Central Universities China (Grant No. 2021CDJSKJC22) , Junior
   Fellowships for Advanced Innovation Thinktank Program of China
   Association for Science and Technology (Grant No. 2021ZZZLFZB1207134) .
CR Abu-Rayash A, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2020.102704
   Alam T, 2023, J URBAN PLAN DEV, V149, DOI 10.1061/JUPDDM.UPENG-4543
   Alam T, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104295
   [Anonymous], 2011, Climatic suitability evaluating on human settlement
   [Anonymous], 2022, World Urbanization Prospects 2018
   [Anonymous], 2016, The New Urban Agenda
   Bassolino E, 2021, ENERGIES, V14, DOI 10.3390/en14154630
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Browning MHEM, 2022, LANDSCAPE URBAN PLAN, V217, DOI 10.1016/j.landurbplan.2021.104233
   Burger A, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5030061
   Cai ZY, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104582
   Cai ZP, 2021, URBAN PLAN, V6, P227, DOI 10.17645/up.v6i3.4208
   Canitez F, 2019, TECHNOL FORECAST SOC, V141, P319, DOI 10.1016/j.techfore.2019.01.008
   Cardoso R, 2022, URBAN STUD, V59, P2638, DOI 10.1177/00420980211045571
   Carter I, 2022, ENVIRON PLAN B-URBAN, V49, P722, DOI 10.1177/23998083211025542
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen GY, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19159085
   Chen W, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108602
   Chen Y, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102939
   Chen YZ, 2023, ENVIRON IMPACT ASSES, V103, DOI 10.1016/j.eiar.2023.107283
   Chen YZ, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20010606
   Cheng JB, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104047
   Cheng K, 2015, WATER RESOUR MANAG, V29, P4977, DOI 10.1007/s11269-015-1099-3
   Cong XP, 2021, LAND-BASEL, V10, DOI 10.3390/land10090993
   Cozzolino S, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105297
   Cozzolino S, 2020, ENVIRON PLAN B-URBAN, V47, P203, DOI 10.1177/2399808319857451
   Dai YX, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105112
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   De Renzis A, 2022, TIJDSCHR ECON SOC GE, V113, P483, DOI 10.1111/tesg.12535
   de Roo G, 2018, PROG PLANN, V125, P1, DOI 10.1016/j.progress.2017.04.002
   Decancq K, 2013, ECONOMET REV, V32, P7, DOI 10.1080/07474938.2012.690641
   DENDRINOS DS, 1992, ANN REGIONAL SCI, V26, P135, DOI 10.1007/BF02116365
   Feng L, 2020, ENVIRON RES, V185, DOI 10.1016/j.envres.2020.109386
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Fong CS, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14050852
   Fu L, 2021, CHIN J URBAN ENV STU, V09, DOI 10.1142/S2345748121500056
   Gao H, 2023, LAND-BASEL, V12, DOI 10.3390/land12081601
   Ge Y, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122236
   Geng H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072154
   Gharaibeh AA, 2022, GEOJOURNAL, V87, P4475, DOI 10.1007/s10708-021-10504-4
   Guan YC, 2022, INT POLIT SCI REV, V43, P85, DOI 10.1177/0192512120907115
   Guardaro M, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100415
   Han H, 2021, ECOL INDIC, V127, DOI 10.1016/j.ecolind.2021.107724
   Han J, 2018, J CLEAN PROD, V173, P135, DOI 10.1016/j.jclepro.2016.10.097
   Han MJN, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174768
   He HM, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104835
   Holland JH, 1996, Hidden order: How adaptation builds complexity
   Hong S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236611
   Hsu D, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126791
   Hu QS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041272
   Hu WY, 2019, CITIES, V86, P51, DOI 10.1016/j.cities.2018.12.010
   Huang H, 2022, ENERGY REP, V8, P73, DOI 10.1016/j.egyr.2022.01.146
   Huang XF, 2022, LAND-BASEL, V11, DOI 10.3390/land11111901
   Istrate AL, 2021, URBAN DES INT, V26, P3, DOI 10.1057/s41289-020-00144-4
   Jiang CT, 2023, INTERNET THINGS-NETH, V23, DOI 10.1016/j.iot.2023.100810
   Jiang YH, 2013, HABITAT INT, V38, P167, DOI 10.1016/j.habitatint.2012.06.003
   Kang ZQ, 2021, NAT HAZARDS, V106, P913, DOI 10.1007/s11069-020-04500-z
   Kaushal SS, 2015, WATER-SUI, V7, P4063, DOI 10.3390/w7084063
   Kavaarpuo G, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103457
   Korah PI, 2017, GEOJOURNAL, V82, P1113, DOI 10.1007/s10708-016-9731-1
   Korkut C, 2023, COMPUT URBAN SCI, V3, DOI 10.1007/s43762-023-00108-8
   Kroh J, 2021, TECHNOL FORECAST SOC, V168, DOI 10.1016/j.techfore.2021.120767
   Kubiszewski I, 2018, ECOL ECON, V154, P361, DOI 10.1016/j.ecolecon.2018.08.017
   Lao X, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030654
   Li B, 2018, CHINESE GEOGR SCI, V28, P313, DOI 10.1007/s11769-018-0948-4
   Li HM, 2021, DISCRETE DYN NAT SOC, V2021, DOI 10.1155/2021/6659623
   Li XP, 2022, J INTELL SYST, V31, P245, DOI 10.1515/jisys-2022-0010
   Li XM, 2021, LAND-BASEL, V10, DOI 10.3390/land10121400
   Liao SJ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182312539
   Liu DX, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10155152
   Liu HM, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.1025787
   Liu HQ, 2020, WATER-SUI, V12, DOI 10.3390/w12051478
   Liu M, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127186
   Liu YJ, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000597
   Liu Z., 2020, Evaluation of Chinese cities' basic public service capability
   Liu ZT, 2023, ENVIRON IMPACT ASSES, V103, DOI 10.1016/j.eiar.2023.107266
   Lu J, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102974
   Lu SB, 2016, INT J HYDROGEN ENERG, V41, P15944, DOI 10.1016/j.ijhydene.2016.05.007
   Lv L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413534
   Lynch N, 2022, GEOGR COMPASS, V16, DOI 10.1111/gec3.12605
   Ma F, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101645
   Mahtab-uz-Zaman QM, 2011, OPEN HOUSE INT, V36, P45
   Makleff S, 2020, HEALTH POLICY PLANN, V35, P993, DOI 10.1093/heapol/czaa067
   Diaz-Sarachaga JM, 2019, J CLEAN PROD, V207, P971, DOI 10.1016/j.jclepro.2018.10.061
   Mao C, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110882
   Marasinghe R, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105047
   Martin AJ, 2017, AM PSYCHOL, V72, P696, DOI 10.1037/amp0000163
   McCormick TC, 1944, AM SOCIOL REV, V9, P341, DOI 10.2307/2086106
   McGreevy MP, 2017, URBAN POLICY RES, V35, P424, DOI 10.1080/08111146.2017.1328352
   Michael FL, 2014, HABITAT INT, V44, P491, DOI 10.1016/j.habitatint.2014.09.006
   Milic J, 2018, J HOUS BUILT ENVIRON, V33, P715, DOI 10.1007/s10901-017-9579-9
   Ministry of Housing and Urban-Rural Development of the People's Republic of China, 2021, Guidelines for building complete residential communities
   Ministry of Housing and Urban-Rural Development of the People's Republic of China, 2020, Letter of the Ministry of Housing and Urban-Rural Development on supporting the implementation of urban physical examination work in 2020
   Nakamura H, 2020, J CLEAN PROD, V256, DOI 10.1016/j.jclepro.2020.120523
   Navarro-Yáñez CJ, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102716
   Neder EA, 2021, CLIMATIC CHANGE, V166, DOI 10.1007/s10584-021-03113-0
   Nicolis G., 1977, SELF ORG NONEQUILIBR
   Noltemeyer A, 2021, CHILD YOUTH SERV, V42, P24, DOI 10.1080/0145935X.2020.1818558
   Nunbogu AM, 2017, URBAN RES PRACT, V10, P423, DOI 10.1080/17535069.2016.1238502
   Omodan BI, 2022, J INFRASTRUCT POLICY, V6, DOI 10.24294/jipd.v6i2.1483
   Partanen J, 2015, ENVIRON PLANN B, V42, P951, DOI 10.1068/b140064p
   Pintossi N, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073603
   Plummer R, 2013, ECOL SOC, V18, DOI 10.5751/ES-05383-180121
   Pyati AK, 2012, AREA, V44, P336, DOI 10.1111/j.1475-4762.2012.01100.x
   Qiao XJ, 2018, J CLEAN PROD, V196, P943, DOI 10.1016/j.jclepro.2018.06.049
   Ran L, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102581
   Rauws W, 2016, ENVIRON PLANN B, V43, P1052, DOI 10.1177/0265813516658886
   Ravnikar Z, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15108236
   Ren PY, 2021, LAND-BASEL, V10, DOI 10.3390/land10121321
   Rosner-Manor Y, 2020, ENVIRON PLAN B-URBAN, V47, P251, DOI 10.1177/2399808319867712
   Särkilahti M, 2017, TECHNOL FORECAST SOC, V118, P195, DOI 10.1016/j.techfore.2017.02.020
   Sezer N, 2023, RENEW SUST ENERG REV, V184, DOI 10.1016/j.rser.2023.113577
   Shaamala A, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2024.105182
   Shen JF, 2021, POPUL SPACE PLACE, V27, DOI 10.1002/psp.2364
   Shi JA, 2021, LAND-BASEL, V10, DOI 10.3390/land10111195
   Sikkema R, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2022.104370
   Su XK, 2022, INT J DISAST RISK SC, V13, P987, DOI 10.1007/s13753-022-00449-8
   Su YK, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030367
   Tang LS, 2017, HABITAT INT, V70, P81, DOI 10.1016/j.habitatint.2017.10.001
   Tanguay GA, 2010, ECOL INDIC, V10, P407, DOI 10.1016/j.ecolind.2009.07.013
   Testi A, 2023, HABITAT INT, V139, DOI 10.1016/j.habitatint.2023.102901
   Thanvisitthpon N, 2020, ENVIRON IMPACT ASSES, V81, DOI 10.1016/j.eiar.2019.106363
   Tian SZ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12020178
   Toh CK, 2022, IET SMART CITIES, V4, P211, DOI 10.1049/smc2.12036
   Tsahor M, 2023, LAND USE POLICY, V126, DOI 10.1016/j.landusepol.2022.106508
   Tsai IC, 2019, ECON MODEL, V78, P309, DOI 10.1016/j.econmod.2018.09.026
   United Nations, 2024, Sustainable development goals: Take action for the sustainable development goals
   Vajjarapu H, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102205
   Valcárcel-Aguiar B, 2019, SOC INDIC RES, V142, P689, DOI 10.1007/s11205-018-1861-z
   Walker B, 2004, ECOL SOC, V9
   Wan JJ, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19095028
   Wang B, 2022, PHYS CHEM EARTH, V126, DOI 10.1016/j.pce.2022.103150
   Wang GQ, 2021, J CULT HERIT, V52, P134, DOI 10.1016/j.culher.2021.09.009
   Wang M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031475
   Wang R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082633
   Wang XX, 2017, J URBAN PLAN DEV, V143, DOI 10.1061/(ASCE)UP.1943-5444.0000371
   Wang Y, 2017, HABITAT INT, V70, P1, DOI 10.1016/j.habitatint.2017.09.010
   Wang YM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010020
   Warbrick Isaac, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20032739
   Waters J, 2017, GLOBAL ENVIRON CHANG, V46, P42, DOI 10.1016/j.gloenvcha.2017.06.011
   Winter AK, 2022, LAND USE POLICY, V117, DOI 10.1016/j.landusepol.2022.106124
   Wu F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187361
   Wubneh M, 2021, PLAN PERSPECT, V36, P363, DOI 10.1080/02665433.2020.1753104
   Xie XL, 2018, CHIN J URBAN ENV STU, V6, DOI 10.1142/S2345748118500069
   Xie XL, 2017, CHIN J URBAN ENV STU, V5, DOI 10.1142/S2345748117500075
   Xu LL, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafe27
   Xue QR, 2020, THERM SCI, V24, P2543, DOI 10.2298/TSCI2004543X
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yan DH, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103157
   Yan H, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15129338
   Yang HF, 2021, GEOMAT NAT HAZ RISK, V12, P2654, DOI 10.1080/19475705.2021.1973119
   Yin HW, 2016, J URBAN PLAN DEV, V142, DOI 10.1061/(ASCE)UP.1943-5444.0000297
   Yue AB, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12081182
   Zhan DS, 2022, HABITAT INT, V127, DOI 10.1016/j.habitatint.2022.102639
   Zhang DH, 2023, URBAN CLIM, V51, DOI 10.1016/j.uclim.2023.101657
   Zhang JZ, 2019, INT J ENVIRON SCI TE, V16, P1571, DOI 10.1007/s13762-018-1777-9
   Zhang JM, 2023, CITIES, V136, DOI 10.1016/j.cities.2023.104265
   Zhang JY, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13071695
   Zhang Q, 2024, J ASIAN ARCHIT BUILD, V23, P1441, DOI 10.1080/13467581.2023.2265161
   Zhang YQ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151712981
   Zhao C, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e20704
   Zhao CL, 2020, MITIG ADAPT STRAT GL, V25, P221, DOI 10.1007/s11027-019-09874-5
   Zhou M, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e20683
   Zhou T, 2015, J INTELL FUZZY SYST, V29, P2661, DOI 10.3233/IFS-151969
   Zhou WQ, 2022, NATL SCI REV, V9, DOI 10.1093/nsr/nwab107
   Zhou Y, 2024, ENVIRON DEV SUSTAIN, V26, P18761, DOI 10.1007/s10668-023-03414-7
   Zhu LK, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12244026
NR 168
TC 3
Z9 3
U1 48
U2 132
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD AUG 1
PY 2024
VL 108
AR 105494
DI 10.1016/j.scs.2024.105494
EA MAY 2024
PG 22
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA TE4N1
UT WOS:001239573300001
DA 2025-04-22
ER

PT J
AU Boquet, K
   Froitier, C
   Li, JH
   Xu, KH
   Zeng, XL
AF Boquet, Kathleen
   Froitier, Charline
   Li, Jinhui
   Xu, Kaihua
   Zeng, Xianlai
TI Eco-districts in France: What tools to ensure goals achievement?
SO SCIENCE CHINA-EARTH SCIENCES
LA English
DT Article
DE Geography and environment; City management; Eco-district;
   Sustainability; Assessment; France
ID NEIGHBORHOOD SUSTAINABILITY ASSESSMENT; CITY; ENERGY
AB Globally, to build cities and communities more inclusive, safe, resilient and sustainable is one of the most important sustainable development goals. Eco-districts in cities emerged as an answer to current global environmental concerns and have been developed in France since the 1990s. The objective of this work is to gather operational feedback from sustainable neighborhood projects owners to better understand the key barriers of such projects and how to overcome them. A case study of the eco-district Les Tanneries, Lingolsheim showed that the carbon footprint of each inhabitant annually amounted to 4 tons CO2 equivalent, more than half of the French average. Rooms for improvements were clearly identified regarding transports and food carbon footprint. Indicators for energy consumption, social diversity and density reached the level of the eco-districts average. A governance review pointed out some superior practices such as the formalization of a specification requirements handbook, a competition between project management teams, and the use of neighborhood sustainability assessment tools to measure and track changes in performance. The validated tools and obtained results can be useful in building sustainable cities and even China's ecological civilization.
C1 [Boquet, Kathleen; Li, Jinhui; Zeng, Xianlai] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China.
   [Froitier, Charline] MINES ParisTech, Higher Inst Environm Engn & Management, Paris 06, France.
   [Xu, Kaihua] GEM Co Ltd, Shenzhen 518101, Peoples R China.
C3 Tsinghua University; Universite PSL; MINES ParisTech
RP Zeng, XL (corresponding author), Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China.
EM xlzeng@tsinghua.edu.cn
RI Zeng, Xianlai/LMO-1196-2024; Zeng, Xianlai/P-2548-2014
OI Zeng, Xianlai/0000-0001-5563-6098
FU Asia Research Centre in Tsinghua University [2018-B1]; National Key R&D
   Program of China [2019YFC1908504]
FX We acknowledge Eva Albalghiti of Yale University for language improving.
   We also acknowledge the two reviewers for their valuable comments. This
   work was supported by the Asia Research Centre in Tsinghua University
   (Grant No. 2018-B1) and the National Key R&D Program of China (Grant No.
   2019YFC1908504).
CR About-de Chastenet C, 2016, J ENVIRON MANAGE, V176, P69, DOI 10.1016/j.jenvman.2016.03.036
   Acuto M, 2018, SCIENCE, V359, P165, DOI 10.1126/science.aao2728
   ADEME, 2014, DOSS TECHN EL SCEN P
   [Anonymous], 2013, HIDDEN POTENTIAL SUS
   Boquet K, 2016, ECODISTRICTS WHAT TO
   Bossel Hartmut, 1999, INDICATORS SUSTAINAB, P39
   Boutaud B, 2009, CYBERGEO EUROPEAN J
   Certivea, 2016, CERT HQE AM
   Chang ICC, 2016, REG STUD, V50, P929, DOI 10.1080/00343404.2015.1108519
   Clerc C, 2017, MODALITES DEPISTAGE
   Colglazier W, 2015, SCIENCE, V349, P1048, DOI 10.1126/science.aad2333
   Cui YL, 2018, FRONT ENV SCI ENG, V12, DOI 10.1007/s11783-018-1068-1
   Daddi T, 2012, INT J TECHNOL MANAGE, V58, P49, DOI 10.1504/IJTM.2012.045788
   Du ZR, 2016, OPEN HOUSE INT, V41, P71
   Finnegan W, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0949-z
   Fitzgerald J, 2016, ENVIRON PLANN C, V34, P364, DOI 10.1177/0263774X15614666
   Flynn A, 2016, HABITAT INT, V53, P78, DOI 10.1016/j.habitatint.2015.11.004
   Gabillet P, 2015, ENERG POLICY, V78, P189, DOI 10.1016/j.enpol.2014.11.006
   Holden M, 2015, SUSTAINABILITY-BASEL, V7, P11418, DOI 10.3390/su70911418
   Kohler M, 2016, APPL ENERG, V184, P40, DOI 10.1016/j.apenergy.2016.09.075
   Komeily A, 2015, SUSTAIN CITIES SOC, V18, P32, DOI 10.1016/j.scs.2015.05.004
   Li HF, 2017, J CLEAN PROD, V162, P1085, DOI 10.1016/j.jclepro.2017.06.121
   Lombardi P., 2013, International Journal of Sustainable Building Technology and Urban Development, V4, P274, DOI [10.1080/2093761X.2013.817360, DOI 10.1080/2093761X.2013.817360]
   Machline E, 2018, BUILD RES INF, V46, P636, DOI 10.1080/09613218.2016.1258852
   Maurer DL, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0915-9
   Ministere de l'ecologie d.d.d. des transports et du logement, 2011, APP PROJ ECOQUARTIER
   Ministere de l'ecologie d.l.e. du developpement durable et de la mer., 2010, J OFFICIEL REPUBLIQU
   Ministry of Territorial Cohesion, 2016, WHAT IS ECOQUARTIER
   Pajot C, 2018, BUILDINGS-BASEL, V8, DOI 10.3390/buildings8100145
   Phillips J, 2015, AREA, V47, P197, DOI 10.1111/area.12174
   Reith A, 2015, ECOL INDIC, V48, P660, DOI 10.1016/j.ecolind.2014.09.005
   Sampson RJ, 2002, ANNU REV SOCIOL, V28, P443, DOI 10.1146/annurev.soc.28.110601.141114
   Selmi W, 2016, URBAN FOR URBAN GREE, V17, P192, DOI 10.1016/j.ufug.2016.04.010
   Sharifi A, 2014, BUILD ENVIRON, V72, P243, DOI 10.1016/j.buildenv.2013.11.006
   Sharifi A, 2013, ENVIRON IMPACT ASSES, V38, P73, DOI 10.1016/j.eiar.2012.06.006
   UN Habitat, 2016, GUID URB PLANN PREP
   UNDESA, 2013, WORLD EC SOC SURV 20
   Weber CL, 2012, ENVIRON SCI TECHNOL, V46, P5688, DOI 10.1021/es300375n
   Weber R, 2015, CITIES, V49, P113, DOI 10.1016/j.cities.2015.07.003
   Wilson J, 2007, ECOL INDIC, V7, P299, DOI 10.1016/j.ecolind.2006.02.009
   Winston N, 2008, SOC INDIC RES, V87, P211, DOI 10.1007/s11205-007-9165-8
   Zheng HW, 2017, ENVIRON PLAN B-URBAN, V44, P903, DOI 10.1177/0265813516655547
NR 42
TC 3
Z9 3
U1 4
U2 37
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1674-7313
EI 1869-1897
J9 SCI CHINA EARTH SCI
JI Sci. China-Earth Sci.
PD JUN
PY 2020
VL 63
IS 6
BP 865
EP 874
DI 10.1007/s11430-018-9605-4
EA APR 2020
PG 10
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology
GA LN6YP
UT WOS:000528131300001
DA 2025-04-22
ER

PT J
AU Mahadevia, D
   Mukhopadhyay, C
   Lathia, S
   Gounder, K
AF Mahadevia, Darshini
   Mukhopadhyay, Chandrima
   Lathia, Saumya
   Gounder, Kanika
TI The role of urban transport in delivering Sustainable Development Goal
   11: Learning from two Indian cities
SO HELIYON
LA English
DT Article
ID AGENDA; TRAVEL; CITY
AB The next wave of unprecedented urbanisation is expected to occur in South Asia and Africa, with India being the most populous country. India's urbanisation choices will influence the success of the three global agendas: New Urban Agenda, Sustainable Development Goals, and the Paris Agreement. Sustainable urban transport is vital in delivering United Nations Sustainable Development Goal 11 (SDG11) on inclusive and sustainable urbanisation. SDG11 includes dimensions such as equity, gender equality, health, employment, and climate change. Through a mixed-methods approach, the paper develops an assessment framework to investigate: 'What are the roles of existing urban transport interventions in delivering SDG11?' in two Indian cities: Surat (an industrial city of 5.9 million) and Udaipur (a tourist city of 0.8 million) across three interrelated transport roles: providing Inclusive Access, delivering Climate-Resilient Development, and delivering Context-Sensitive Planning. Each urban transport interaction is assigned synergy (+1), trade-off (-1) or mixed impacts (-/+1). The paper finds that current transport interventions in Surat & Udaipur largely result in trade-offs across all three themes Inclusive Access (-1 for Surat & Udaipur), Climate Vulnerability (-1 for Surat & Udaipur), and Context-Sensitive Planning (-1 for Surat & +1 for Udaipur).
C1 [Mahadevia, Darshini; Mukhopadhyay, Chandrima; Lathia, Saumya; Gounder, Kanika] Ahmedabad Univ, Sch Arts & Sci, Commerce Six Rd, Ahmadabad 380009, Gujarat, India.
C3 Ahmedabad University
RP Mahadevia, D; Mukhopadhyay, C (corresponding author), Ahmedabad Univ, Sch Arts & Sci, Commerce Six Rd, Ahmadabad 380009, Gujarat, India.
EM darshinimahadevia@ahduni.edu.in; chandrimamukho@gmail.com;
   saumya.lathia@ahduni.edu.in; saumya.lathia@ahduni.edu.in
RI Mahadevia, Darshini/J-9939-2019
FU Department of Bio-Technology, Ministry of Science & Technology,
   Government of India [BT/IN/TaSE/74/MP/2018-19]
FX <B>Funding</B> This work was supported by the Department of
   Bio-Technology, Ministry of Science & Technology, Government of India
   [BT/IN/TaSE/74/MP/2018-19; Date: 14/10/2019] .
CR Akuraju V, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101853
   Ali S, 2020, ENVIRON DEV SUSTAIN, V22, P3839, DOI 10.1007/s10668-019-00365-w
   [Anonymous], 2018, CO2 Emissions from Fuel Combustion 2018
   [Anonymous], 2010, The Emissions Gap Report
   [Anonymous], 2008, STUDY TRAFFIC TRANSP
   Bhatt A., 2015, Women's safety in public transport
   Blanco H., 2017, SUSTAINABILITY MEXIC
   CEPT Research Development and Foundation (CRDF), 2018, Technical Report
   Chancel L., 2022, WORLD INEQUALITY REP
   Coelho K., 2020, International Journal of Housing Policy, P1
   Collste D, 2017, SUSTAIN SCI, V12, P921, DOI 10.1007/s11625-017-0457-x
   Devisscher T, 2020, SUSTAINABLE DEVELOPMENT GOALS: THEIR IMPACTS ON FORESTS AND PEOPLE, P349
   Dhar S, 2018, J CLEAN PROD, V172, P417, DOI 10.1016/j.jclepro.2017.10.076
   Dhar S, 2016, TRANSPORT RES D-TR E, V44, P234, DOI 10.1016/j.trd.2016.03.002
   Fader M, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00112
   Government Of India, 2021, REFORMS URBAN PLANNI
   He SY, 2018, TOWN PLAN REV, V89, P467, DOI 10.3828/tpr.2018.31
   Jain D, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2020.100766
   Janoschka M, 2017, HABITAT INT, V70, P43, DOI 10.1016/j.habitatint.2017.10.003
   Kazemzadeh K, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104313
   Khayesi M, 2020, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.00025
   Mahadevia D., 2015, Shelter Security in Urban India: Pathways, Barriers, and Outcomes', P374
   Mahadevia D, 2012, Handbook of Urban Inequalities
   Mahadevia D, 2021, TOWN PLAN REV, V92, P139, DOI 10.3828/tpr.2020.78
   Mahadevia D, 2016, TRANSPORT RES D-TR E, V44, P292, DOI 10.1016/j.trd.2016.01.002
   Mainde M., 2015, Understanding the Resilience Network in Food Management: A Study of Surat
   Malinka T., 2019, Transport Means'
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   Mell IC, 2015, AIMS ENVIRON SCI, V2, P134, DOI 10.3934/environsci.2015.2.134
   Mittal S, 2016, TRANSPORT RES D-TR E, V44, P266, DOI 10.1016/j.trd.2015.04.002
   MOHUA, 2013, Service level Benchmarking for Urban Transport in Indian Cities
   Nigro A, 2019, J TRANSP GEOGR, V74, P110, DOI 10.1016/j.jtrangeo.2018.11.004
   Nilsson M, 2016, NATURE, V534, P320, DOI 10.1038/534320a
   Hernandez DO, 2016, J TRANSP GEOGR, V55, P152, DOI 10.1016/j.jtrangeo.2015.12.004
   Parnell S, 2016, WORLD DEV, V78, P529, DOI 10.1016/j.worlddev.2015.10.028
   Pereira BB, 2019, ENVIRON RES, V179, DOI 10.1016/j.envres.2019.108752
   Petti L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030926
   Poku-Boansi M, 2019, J TRANSP HEALTH, V15, DOI 10.1016/j.jth.2019.100660
   Prasad P, 2019, TRANSPORT RES A-POL, V121, P122, DOI 10.1016/j.tra.2019.01.009
   Rastogi A, 2018, SPR TRANS CIV ENV EN, P237, DOI 10.1007/978-981-10-7122-5_24
   Root A, 2000, TRANSPORT REV, V20, P369, DOI 10.1080/014416400412850
   Rosenbloom S, 2009, GENERATIONS, V33, P33
   Samal S. R., 2020, IOP Conference Series: Materials Science and Engineering, V1006, DOI 10.1088/1757-899X/1006/1/012002
   Satiram B.G., 2020, International Journal of Architecture and Infrastructure Planning, V6, P7
   Schindler S, 2017, INT DEV PLANN REV, V39, P349, DOI 10.3828/idpr.2017.15
   Shaban A., 2016, Shelter, V17, P31
   Singh R, 2021, TECHNOL FORECAST SOC, V170, DOI 10.1016/j.techfore.2021.120908
   SLOCAT, 2018, Transport and Climate Change 2018: Global Status Report, DOI [10.1017/CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Surat Urban Development Authority, 2017, Development Plan
   Szymanska E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042381
   Tan XC, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103266
   Tiwari Geetam., 2013, Promoting Low Carbon Transport in India: NMT Infrastructure in India: Investment, Policy and Design
   Tran PTM, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102470
   U.N. Dev. Program (UNDP),, 2019, China National Human Development Report Special Edition
   Udas-mankikar S., Occasional paper
   UN -Habitat UNEP SLoCaT., 2015, Analysis of the transport relevance of each of the 17 SDGs, draft
   UNEP, GOAL 11: Sustainable Cities and Communities'
   UNEP, SDG 11 Brief: Make Cities and Human Settlements Inclusive, Safe, Resilient and Sustainable'
   United Nations Department of Economic and Social Affairs Population Division, 2019, Highlights
   United Nations Environment Programme, 2015, Promoting Low Carbon Transport in India - Low Carbon Comprehensive Mobility Plan
   Vajjarapu H, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101528
   Valencia SC, 2019, INT J URBAN SUSTAIN, V11, P4, DOI 10.1080/19463138.2019.1573172
   Watson V, 2016, PLAN THEOR, V15, P435, DOI 10.1177/1473095216660786
   Wilbur Smith Associates and Ministry of Urban Development, 2008, Study on Traffic and Transportation-Policies and Strategies in Urban Areas in India
   Wimbadi RW, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103023
   Wong RCP, 2018, TRANSPORT POLICY, V63, P73, DOI 10.1016/j.tranpol.2017.12.015
   WORLD BANK, 2017, Working paper
   Zhou TQ, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104146
   Zhou X, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104348
   Zinkernagel R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093201
NR 70
TC 5
Z9 5
U1 6
U2 14
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD SEP
PY 2023
VL 9
IS 9
AR e19453
DI 10.1016/j.heliyon.2023.e19453
EA SEP 2023
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA T6ZY5
UT WOS:001079458000001
PM 37809449
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Wang, CQ
   Zhang, H
   Ma, ZX
   Yang, H
   Jia, WX
AF Wang, Chongqing
   Zhang, He
   Ma, Zhongxu
   Yang, Huan
   Jia, Wenxiao
TI Urban Morphology Influencing the Urban Heat Island in the High-Density
   City of Xi'an Based on the Local Climate Zone
SO SUSTAINABILITY
LA English
DT Article
DE spectral indexes; land surface temperature; urban heat island; local
   climate zone; downscaling; thermal environment network
ID LAND-SURFACE TEMPERATURE; FRACTIONAL VEGETATION COVER; HONG-KONG; MODEL;
   ENERGY
AB Urban form plays a critical role in enhancing urban climate resilience amidst the challenges of escalating global climate change and recurrent high-temperature heatwaves. Therefore, it is crucial to study the correlation between urban spatial form factors and land surface temperature (LST). This study utilized Landsat 8 remote sensing data to estimate LST. Random forest nonlinear analysis was employed to investigate the interaction between the urban heat island (UHI) and six urban morphological factors: building density (BD), floor area ratio (FAR), building height (BH), fractional vegetation coverage (FVC), sky view factor (SVF), and impervious surface fraction (ISF), within the framework of local climate zones (LCZs). Key findings revealed that Xi'an exhibited a significant urban heat island effect, with over 10% of the study area experiencing temperatures exceeding 40 degrees C. Notably, the average LST of building-class LCZs (1-6) was 3.5 degrees C higher than that of land cover-class LCZs (A-C). Specifically, compact LCZs (1-3) had an average LST 3.02 degrees C higher than open LCZs (4-6). FVC contributed the most to the variation in LST, while FAR contributed the least. ISF and BD were found to have a positive impact on LST, while FVC and BH had a negative influence. Moreover, SVF was observed to positively influence LST in the compact classes (LCZ2-3) and open low-rise class (LCZ6). In the open mid-rise class (LCZ5), SVF and LST showed a U-shaped relationship. There is an inverted U-shaped relationship between FAR and LST, with the inflection point occurring at 1.5. The results of nonlinear analysis were beneficial in illustrating the complex relationships between LST and its driving factors. The study's results highlight the effectiveness of utilizing LCZ as a detailed approach to explore the relationship between urban morphology and urban heat islands. Recommendations for enhancing urban climate resilience include strategies such as increasing vegetation coverage, regulating building heights, organizing buildings in compact LCZs in an "L" or "I" shape, and adopting an "O" or "C" configuration for buildings in open LCZs to aid planners in developing sustainable urban environments.
C1 [Wang, Chongqing; Zhang, He; Ma, Zhongxu; Yang, Huan; Jia, Wenxiao] Northwest Agr & Forest Univ, Coll Landscape Architecture & Art, Xianyang 712100, Peoples R China.
C3 Northwest A&F University - China
RP Yang, H (corresponding author), Northwest Agr & Forest Univ, Coll Landscape Architecture & Art, Xianyang 712100, Peoples R China.
EM wcq392303@nwafu.edu.cn; hezhang@nwafu.edu.cn; mazhongxu@nwafu.edu.cn;
   yanghuan@nwafu.edu.cn; wxjia@nwafu.edu.cn
RI Wang, chongqing/KMX-6046-2024
FU Shaanxi National Science Foundation
FX The authors are grateful to the reviewers for their constructive
   comments.
CR Abdullah S, 2022, ENVIRON PROCESS, V9, DOI 10.1007/s40710-021-00554-8
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Alavipanah S, 2015, SUSTAINABILITY-BASEL, V7, P4689, DOI 10.3390/su7044689
   Ali S. A., 2023, Remote Sensing in Earth Systems Sciences, V6, P1
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Bansal P, 2024, BUILD ENVIRON, V247, DOI 10.1016/j.buildenv.2023.110957
   Cai M, 2018, URBAN CLIM, V24, P485, DOI 10.1016/j.uclim.2017.05.010
   Chen L, 2012, INT J CLIMATOL, V32, P121, DOI 10.1002/joc.2243
   Chen YC, 2017, INT J BIOMETEOROL, V61, P1029, DOI 10.1007/s00484-016-1282-0
   Cui SY, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22176407
   Dirksen M, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100498
   Du PJ, 2020, URBAN CLIM, V33, DOI 10.1016/j.uclim.2020.100657
   DUCKWORTH F. S., 1954, BULL AMER METEOROL SOC, V35, P198
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   Ferreira LS, 2019, URBAN CLIM, V27, P105, DOI 10.1016/j.uclim.2018.11.002
   Gao YJ, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104443
   Gao YJ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103431
   Geletic J, 2016, MORAV GEOGR REP, V24, P2, DOI 10.1515/mgr-2016-0012
   Geletic J, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8100788
   Giridharan R, 2008, BUILD ENVIRON, V43, P1583, DOI 10.1016/j.buildenv.2007.10.003
   Goward SN., 1981, Phys Geog, V2, P19, DOI DOI 10.1080/02723646.1981.10642202
   Guo GH, 2016, ENVIRON MODELL SOFTW, V84, P427, DOI 10.1016/j.envsoft.2016.06.021
   He BJ, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102289
   Huang HC, 2017, TEH VJESN, V24, P877, DOI 10.17559/TV-20170508154351
   Kim J, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103799
   Kim SW, 2021, RENEW SUST ENERG REV, V148, DOI 10.1016/j.rser.2021.111256
   Laurent JGC, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002605
   Li F, 2014, REMOTE SENS-BASEL, V6, P4705, DOI 10.3390/rs6064705
   Lin PY, 2017, LANDSCAPE URBAN PLAN, V168, P48, DOI 10.1016/j.landurbplan.2017.09.024
   Lin ZL, 2023, BUILD ENVIRON, V243, DOI 10.1016/j.buildenv.2023.110732
   Liu Y, 2020, SCI TOTAL ENVIRON, V743, DOI 10.1016/j.scitotenv.2020.140589
   Luo PY, 2023, BUILD ENVIRON, V245, DOI 10.1016/j.buildenv.2023.110959
   Ming YJ, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104350
   Moss JL, 2019, URBAN FOR URBAN GREE, V37, P65, DOI 10.1016/j.ufug.2018.07.023
   Mu K., 2019, E3S Web Conf, V136, DOI [10.1051/e3sconf/201913605011, DOI 10.1051/E3SCONF/201913605011]
   Nasar-u-Minallah M, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11799-1
   Nasehi S, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101245
   O'Malley C, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103959
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   Qi YS, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.861768
   Rigatti Steven J, 2017, J Insur Med, V47, P31, DOI 10.17849/insm-47-01-31-39.1
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Shi LF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147242
   Shi YR, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19163459
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart ID, 2014, INT J CLIMATOL, V34, P1062, DOI 10.1002/joc.3746
   Vicedo-Cabrera AM, 2021, NAT CLIM CHANGE, V11, P492, DOI 10.1038/s41558-021-01058-x
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wang MY, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0247786
   Wang Q, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103722
   Wang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15153840
   Xu YN, 2022, LAND-BASEL, V11, DOI 10.3390/land11112050
   Yang CB, 2023, URBAN CLIM, V47, DOI 10.1016/j.uclim.2022.101404
   Yang XS, 2018, BUILD ENVIRON, V137, P171, DOI 10.1016/j.buildenv.2018.04.009
   Yang XY, 2017, INT J CLIMATOL, V37, P890, DOI 10.1002/joc.4747
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
   Yuan B, 2022, BUILD ENVIRON, V222, DOI 10.1016/j.buildenv.2022.109400
   Zhang DJ, 2022, EUR J REMOTE SENS, V55, DOI 10.1080/22797254.2022.2133016
   Zhang LP, 2023, CHINESE GEOGR SCI, V33, P1001, DOI 10.1007/s11769-023-1387-4
   Zhang P, 2023, LANDSCAPE URBAN PLAN, V237, DOI 10.1016/j.landurbplan.2023.104776
   Zhang Q, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102288
   Zhang YS, 2013, INT J REMOTE SENS, V34, P168, DOI 10.1080/01431161.2012.712227
   Zhao CH, 2020, GISCI REMOTE SENS, V57, P1083, DOI 10.1080/15481603.2020.1843869
   Zhao ZQ, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13214338
   Zheng BJ, 2014, LANDSCAPE URBAN PLAN, V130, P104, DOI 10.1016/j.landurbplan.2014.07.001
   Zhou L, 2022, BUILD ENVIRON, V208, DOI 10.1016/j.buildenv.2021.108578
   Zhou SY, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15194743
NR 67
TC 4
Z9 4
U1 32
U2 46
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2024
VL 16
IS 10
AR 3946
DI 10.3390/su16103946
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA RZ9H5
UT WOS:001231591700001
OA gold
DA 2025-04-22
ER

PT J
AU Childers, DL
   Pickett, STA
   Grove, JM
   Ogden, L
   Whitmer, A
AF Childers, Daniel L.
   Pickett, Steward T. A.
   Grove, J. Morgan
   Ogden, Laura
   Whitmer, Alison
TI Advancing urban sustainability theory and action: Challenges and
   opportunities
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Urban sustainability; Sanitary city; Transitions; Inertia; Sustainable
   city; Ecology for cities
ID ECOLOGICAL RESEARCH; EARTH STEWARDSHIP; LONG-TERM; LAND-USE; DESIGN;
   RESILIENCE; SCIENCE; CITIES; CULTURE; MODELS
AB Urban ecology and its theories are increasingly poised to contribute to urban sustainability, through both basic understanding and action. We present a conceptual framework that expands the Industrial : Sanitary Sustainable City transition to include non-sanitary cities, "new cities", and various permutations of transition options for cities encountering exogenous and endogenous "triggers of change". When investigating and modeling these urban transitions, we should consider: (1) the triggers that have induced change: (2) situations where crisis triggers change; (3) why cities transition toward more sustainable states on their own, in the absence of crisis; (4) what we can learn from new city transitions, and non-sanitary city transitions; and (5) how resource interactions affect urban transition s.
   Several existing theoretical frameworks, including sustainability, resilience, adaptation, and vulnerability, may be helpful when considering urban transitions. We suggest that all of these theories interact through inertia in urban systems, and that this multi-faceted inertia e.g. institutional inertia, infrastructural inertia, and social inertia imparts degrees of rigidity that make urban systems less flexible and nimble when facing transitional triggers and change. Given this, solutions to urban sustainability challenges may be categorized as those: (1) that "tweak" the current systems and work with or even take advantage of the inertia in those systems, versus; (2) that are more "transformative", that confront systemic inertia, and that may require new systems. We propose that a model for addressing urban sustainability in the context of relevant theory, and for bridging research and practice, should focus on intercity comparisons. And one mechanism to facilitate this approach is a newly formed interdisciplinary Research Coordination Network (RCN) that focuses on urban sustainability by integrating urban research while incubating solutions-oriented products and collaborative partnerships with practitioners. The Network includes more than two dozen cities in five continents that are in various degrees of transition. In the true vein of sustainability science, our Network activities are incubating societally-relevant solutions through projects that will lead to tangible, "on the ground" sustainable solutions for all types of cities. Our ultimate goal is to understand the process by which cities become more sustainable while affecting that process through action inspired by knowledge. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Childers, Daniel L.] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [Pickett, Steward T. A.] Cary Inst Ecosyst Studies, Millbrook, NY USA.
   [Grove, J. Morgan] US Forest Serv, Baltimore, MD USA.
   [Ogden, Laura] Florida Int Univ, Miami, FL 33199 USA.
   [Whitmer, Alison] Georgetown Univ, Washington, DC USA.
C3 Arizona State University; Arizona State University-Tempe; Cary Institute
   of Ecosystem Studies; United States Department of Agriculture (USDA);
   United States Forest Service; State University System of Florida;
   Florida International University; Georgetown University
RP Childers, DL (corresponding author), Arizona State Univ, Sch Sustainabil, 800 South Cady Mall,Wrigley Hall, Tempe, AZ 85287 USA.
EM dan.childers@asu.edu
OI Pickett, Steward/0000-0002-1899-976X; Grove, J.
   Morgan/0000-0002-7803-074X; Childers, Daniel/0000-0003-3904-0803
FU U.S. National Science Foundation (NSF) [1140070]; NSF [1026865, 1027188,
   0948988]; Direct For Biological Sciences; Division Of Environmental
   Biology [1027188, 1140077] Funding Source: National Science Foundation;
   Division Of Environmental Biology; Direct For Biological Sciences
   [1140070, 1026865] Funding Source: National Science Foundation; Div Of
   Biological Infrastructure; Direct For Biological Sciences [1639145,
   1052875] Funding Source: National Science Foundation; Emerging
   Frontiers; Direct For Biological Sciences [1238320] Funding Source:
   National Science Foundation
FX These activities and the Urban Sustainability Research Coordination
   Network we describe here is supported by the U.S. National Science
   Foundation (NSF) through Grant No. 1140070. Additional support has been
   provided by the NSF to D.L.C. through the CAP LTER Program (Grant No.
   1026865), to S.T.A.P. and J.M.G. through the BES LTER Program (Grant No.
   1027188), and to L. Miami-Dade ULTRA-Ex Program (Grant No. 0948988). We
   thank 3 anonymous reviewers for their helpful comments with the
   manuscript.
CR Adams RichardN., 1975, ENERGY STRUCTURE THE
   Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Andersson E, 2006, ECOL SOC, V11
   [Anonymous], 1987, OUR COMMON FUTURE
   [Anonymous], 2013, Urban Geogr, DOI DOI 10.2747/0272-3638.3.2.87
   Bai XM, 2010, ENVIRON SCI POLICY, V13, P312, DOI 10.1016/j.envsci.2010.03.011
   Beatley Timothy., 2000, Green Urbanism: Learning from European Cities
   Bernt M, 2010, INT J URBAN REGIONAL, V34, P678, DOI 10.1111/j.1468-2427.2010.00985.x
   Birch EL, 2008, CITY 21ST CENTURY, P1
   Bohn B, 2010, LOCAL ENVIRON, V15, P261, DOI 10.1080/13549830903575604
   Boone CG, 2009, ANN ASSOC AM GEOGR, V99, P767, DOI 10.1080/00045600903102949
   Bossellman P., 2009, URBAN TRANSFORMATION
   Brunner PH, 2007, J IND ECOL, V11, P11, DOI 10.1162/jie.2007.1293
   Carpenter SR, 2009, BIOSCIENCE, V59, P699, DOI 10.1525/bio.2009.59.8.11
   Chapin F.S., 2011, Journal of Environmental Studies and Sciences, V1, P44, DOI DOI 10.1007/S13412-011-0010-7
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Collins JP, 2000, AM SCI, V88, P416
   Collins SL, 2011, FRONT ECOL ENVIRON, V9, P351, DOI 10.1890/100068
   Cottrell Fred., 1955, ENERGY SOC RELATION
   Cromwell J.E., 2007, IMPLICATIONS CLIMATE
   Curwell S., 2005, Sustainable urban development: The framework, protocols and environmental assessment methods, V1
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Farr D., 2008, Sustainable Urbanism: Urban Design with Nature
   Felson AJ, 2013, FRONT ECOL ENVIRON, V11, P362, DOI 10.1890/130061
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gandy M., 2004, CITY, V8, P363, DOI DOI 10.1080/1360481042000313509
   García M, 2010, INT J URBAN REGIONAL, V34, P967, DOI 10.1111/j.1468-2427.2010.01015.x
   Glaeser EL, 2013, J ECON SOCIOL, V14, P75, DOI 10.17323/1726-3247-2013-4-75-94
   Gleick P., 2009, WORLDS WATER 2008 20
   Gober P, 2010, CURR OPIN ENV SUST, V2, P144, DOI 10.1016/j.cosust.2010.06.006
   Graham S., 2001, SPLINTERING URBANISM, DOI [DOI 10.4324/9780203452202, 10.4324/9780203452202]
   Grimm N. B., 2012, LONG TERM SOCIOECOLO, P217
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   Grove J.M., 2009, Principles of Ecosystem Stewardship, P281, DOI DOI 10.1007/978-0-387-73033-213
   Guhathakurta S, 2010, J PLAN EDUC RES, V30, P40, DOI 10.1177/0739456X10374187
   Gunderson L., 2002, Resilience and the Behavior of Large-Scale Systems
   Harvey David., 2010, ENIGMA CAPITAL CRISE
   Jabareen YR, 2006, J PLAN EDUC RES, V26, P38, DOI 10.1177/0739456X05285119
   Janssen MA, 2006, ECOL SOC, V11
   Jarzombek Mark., 2003, Thresholds, P54
   Jenks M, 2010, FUTURE CITY, V2, P1
   Johnson MP, 2010, NETW SPAT ECON, V10, P363, DOI 10.1007/s11067-010-9138-3
   Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107
   Kingsland SharonE., 2005, EVOLUTION AM ECOLOGY
   Kirkpatrick LO, 2011, INT J URBAN REGIONAL, V35, P477, DOI 10.1111/j.1468-2427.2011.01058.x
   Larson B., 2011, Metaphors for environmental sustainability: redefining our relationship with nature
   Loorbach D, 2010, GOVERNANCE, V23, P161, DOI 10.1111/j.1468-0491.2009.01471.x
   Lucy WH, 2000, ISSUES SCI TECHNOL, V17, P55
   Lyle J.T., 1999, DESIGN HUMAN ECOSYST
   McDonnell MJ, 2009, ECOLOGY OF CITIES AND TOWNS: A COMPARATIVE APPROACH, P1, DOI 10.1017/CBO9780511609763
   McGrath B., 2011, CHALLENGES, V2, P55, DOI [10.3390/challe2040055, DOI 10.3390/CHALLE2040055]
   [McGrath B. Columbia University Urban Design Program Columbia University Urban Design Program], 2007, Designing patch dynamics
   McHale MR, 2013, FRONT ECOL ENVIRON, V11, P556, DOI 10.1890/120157
   MCHARG I L, 1969, P197
   Melosi M.V., 2000, The Sanitary City: Urban Infrastructure in America from Colonial Times to the Present
   Montgomery MR, 2008, SCIENCE, V319, P761, DOI 10.1126/science.1153012
   Musacchio LR, 2009, LANDSCAPE ECOL, V24, P993, DOI 10.1007/s10980-009-9396-y
   Nassauer JI, 2014, LANDSCAPE URBAN PLAN, V125, P245, DOI 10.1016/j.landurbplan.2013.10.008
   Normile D, 2008, SCIENCE, V319, P740, DOI 10.1126/science.319.5864.740
   Næss P, 2001, EUR PLAN STUD, V9, P503, DOI 10.1080/713666490
   Ogden L, 2013, FRONT ECOL ENVIRON, V11, P341, DOI 10.1890/120327
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Oswald F., 2003, NETZSTADT
   Pickett S.T., 2013, Resilience in ecology and urban design: linking theory and practice for sustainable cities, V3
   Pickett S.T. A., 1997, URBAN ECOSYST, V1, P183, DOI DOI 10.1023/A:1018579628818
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pickett STA, 1999, ECOSYSTEMS, V2, P302, DOI 10.1007/s100219900081
   Pickett STA, 1999, OIKOS, V87, P479, DOI 10.2307/3546812
   Pickett STA., 1997, Urban Ecosystems, V1, P185, DOI DOI 10.1023/A:1018531712889
   Pickett STA, 2011, URBAN ECOSYST, V14, P319, DOI 10.1007/s11252-011-0166-7
   Pickett Steward T. A., 2009, Urban Ecosystems, V12, P1, DOI 10.1007/s11252-008-0079-2
   Pieterse E.A., 2008, CITY FUTURES C CRISI
   Pincetl S, 2010, LOCAL ENVIRON, V15, P43, DOI 10.1080/13549830903406065
   Platt R.H., 2006, HUMANE METROPOLIS PE
   Puselli R. M., 2009, CITY OUT CHAOS URBAN
   Rapport DJ, 2007, SUSTAIN SCI, V2, P77, DOI 10.1007/s11625-006-0016-3
   Redman CL, 2004, ECOSYSTEMS, V7, P161, DOI 10.1007/s10021-003-0215-z
   Rees W, 1996, ENVIRON IMPACT ASSES, V16, P223, DOI 10.1016/S0195-9255(96)00022-4
   Register Richard., 2006, Ecocities: Rebuilding Cities in Balance with Nature
   RIPL W, 1995, ECOL MODEL, V78, P61, DOI 10.1016/0304-3800(94)00118-2
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Spangenberg JH, 2011, ENVIRON CONSERV, V38, P275, DOI 10.1017/S0376892911000270
   Spirn AnneWhiston., 1984, GRANITE GARDEN URBAN
   Steiner F, 2014, LANDSCAPE URBAN PLAN, V125, P304, DOI 10.1016/j.landurbplan.2014.01.023
   Steiner F, 2013, FRONT ECOL ENVIRON, V11, P355, DOI 10.1890/130052
   Steiner FrederickR., 2011, Design for a Vulnerable Planet
   Stokes J, 2011, J INFRASTRUCT SYST, V17, P15, DOI 10.1061/(ASCE)IS.1943-555X.0000036
   Taylor PeterJ., 2005, UNRULY COMPLEXITY EC
   Tidball K.G., 2007, SOCIAL LEARNING SUST, P149, DOI DOI 10.3920/978-90-8686-594-9
   UNFPA U., 2007, State of World Population 2007
   Walker B., 2004, Ecology and Society, V9, P5
   Weinstein M. P., 2010, Sustain-Sci Pr Pol, V6, P1
   Williams D., 2007, SUSTAINABLE DESIGN E
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 96
TC 168
Z9 202
U1 9
U2 272
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD MAY
PY 2014
VL 125
SI SI
BP 320
EP 328
DI 10.1016/j.landurbplan.2014.01.022
PG 9
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA AH9ME
UT WOS:000336465700032
DA 2025-04-22
ER

PT J
AU Fu, X
   Qiang, YJ
   Liu, XX
   Jiang, Y
   Cui, ZW
   Zhang, DY
   Wang, JW
AF Fu, Xin
   Qiang, Yongjie
   Liu, Xuxu
   Jiang, Ying
   Cui, Zhiwei
   Zhang, Deyu
   Wang, Jianwei
TI Will multi-industry supply chains' resilience under the impact of
   COVID-19 pandemic be different? A perspective from China's highway
   freight transport
SO TRANSPORT POLICY
LA English
DT Article
DE COVID-19; Supply chain resilience; Highway freight network; Multi
   industries; VIKOR; Entropy weight method
ID VIKOR METHOD
AB The pandemic caused by coronavirus disease 2019(COVID-19) continues to disrupt the global supply chain system, bringing new risks and challenges. The uncertainty created by COVID-19 makes it is difficult for various industries to deal with the pandemic. Since the pandemic, the supply chain's resilience has been discussed and examined in some studies. However, most existing works start from a single industry perspective or pay more attention to the disturbance caused by changes in the production side. Supply chain networks of different industries, mainly transport networks, are relatively limited under the epidemic's impact. In this paper, from the perspective of highway freight transport, a comprehensive competitiveness evaluation framework was proposed to reveal and the disruption and resilience of the supply chain under the outbreak based on nine indexes with five dimensions, including efficiency, capacity, activity, connectivity, and negotiability. Based on the availability of the data(Large-scale truck trajectory), we sorted out seven categories of Chinese industries(related to highway transport) and divided them into four categories respectively: (a) Slight disruption and worse resilience; (b) Slight disruption and remarkable resilience; (c) Serious disruption and worse resilience; (d) Serious disruption and remarkable resilience. The measurement results of supply chain network performance show that the industries (cold-chain, general products, and other industries) dominated by "Efficiency-Negotiability- Connectivity" are slightly disrupted (about 33%), forming a spatial diffusion with Wuhan(the city where the pandemic first broke out) as the disrupted center, spreading outward in a circle structure. Simultaneously, five urban agglomerations surrounding it have been impacted. By contrast, due to the strict isolation measures, the industries (building materials, construction, engineering, and high-value products industry) more vulnerable to be disrupted seriously (about 82%) tend to be the pattern of "Capacity-Activity". However, a large-scale centralized disruption was observed in the Triangle of Central China urban agglomeration was presented, resulting in almost stagnation of industry development. Meanwhile, as the future of the pandemic remains uncertain, the supply chain represented by the engineering industry, construction industry, etc are deserved to be paid more attention in line with they are prone to large-scale centralized damage due to the disruption of a single city node.
C1 [Fu, Xin; Qiang, Yongjie; Liu, Xuxu; Cui, Zhiwei; Wang, Jianwei] Changan Univ, Coll Transportat Engn, Xian 710064, Peoples R China.
   [Jiang, Ying] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116023, Peoples R China.
   [Jiang, Ying] Hiroshima Univ, Sch Biomed & Hlth Sci, Minami Ku, Kasumi 1-2-3, Hiroshima 7348553, Japan.
   [Zhang, Deyu] Changan Univ, Sch Econ & Management, Xian 710064, Peoples R China.
C3 Chang'an University; Dalian University of Technology; Hiroshima
   University; Chang'an University
RP Wang, JW (corresponding author), Changan Univ, Coll Transportat Engn, Xian 710064, Peoples R China.
EM wjianwei@chd.edu.cn
RI Wang, Jianwei/AAW-9499-2020
FU Major Project of National Social Science Foundation of China [20ZD099];
   Key Research and Development Program of Ministry of Science and
   Technology of China [2020YFC1512004]; Fundamental Research Funds for the
   Central Universities [300102230501]
FX This work was supported in part by the Major Project of National Social
   Science Foundation of China (Grant No.20&ZD099) , the Key Research and
   Development Program of Ministry of Science and Tech-nology of China
   (Grant No.2020YFC1512004) , the Fundamental Research Funds for the
   Central Universities (Grant No. 300102230501) .
CR Andersen LM, 2021, SCI TOTAL ENVIRON, V754, DOI 10.1016/j.scitotenv.2020.142396
   Awadasseid A, 2021, INT J BIOL SCI, V17, P97, DOI 10.7150/ijbs.47827
   Belhadi A, 2021, TECHNOL FORECAST SOC, V163, DOI 10.1016/j.techfore.2020.120447
   Bylen S., 2020, European Research Studies, V23, P47, DOI [10.35808/ersj/1852, DOI 10.35808/ERSJ/1852]
   Casella F, 2021, IEEE CONTR SYST LETT, V5, P1079, DOI 10.1109/LCSYS.2020.3009912
   Coluccia B, 2021, FOOD CONTROL, V123, DOI 10.1016/j.foodcont.2020.107839
   El Baz J, 2021, INT J PROD ECON, V233, DOI 10.1016/j.ijpe.2020.107972
   Ferrannini A, 2021, WORLD DEV, V137, DOI 10.1016/j.worlddev.2020.105215
   Fu X, 2021, IEEE ACCESS, V9, P8977, DOI 10.1109/ACCESS.2021.3049814
   Grida M, 2020, TRANSP RES INTERDISC, V8, DOI 10.1016/j.trip.2020.100240
   Gudmundsson SV, 2021, J AIR TRANSP MANAG, V91, DOI 10.1016/j.jairtraman.2020.102007
   Habib K, 2021, RESOUR CONSERV RECY, V165, DOI 10.1016/j.resconrec.2020.105229
   Hao N, 2020, CHINA AGR ECON REV, V12, P459, DOI 10.1108/CAER-04-2020-0064
   Ho SJ, 2021, METHODSX, V8, DOI 10.1016/j.mex.2020.101200
   Ivanov D, 2020, TRANSPORT RES E-LOG, V136, DOI 10.1016/j.tre.2020.101922
   Jia JSS, 2020, NATURE, V582, P389, DOI [10.1038/s41586-020-2284-y, 10.1109/LGRS.2020.3028443]
   Jiao JJ, 2020, TRANSPORT RES D-TR E, V89, DOI 10.1016/j.trd.2020.102584
   Kumar A, 2022, TRANSPORT POLICY, V124, P43, DOI 10.1016/j.tranpol.2020.01.006
   Kumar R, 2021, J MATER RES TECHNOL, V10, P1471, DOI 10.1016/j.jmrt.2020.12.114
   Kumaran M, 2021, AQUACULTURE, V531, DOI 10.1016/j.aquaculture.2020.735922
   Laborde D, 2020, SCIENCE, V369, P500, DOI 10.1126/science.abc4765
   Le TH, 2020, SCIENCE, V369, P702, DOI 10.1126/science.abb7431
   Liu WH, 2022, INT J LOGIST-RES APP, V25, P965, DOI 10.1080/13675567.2020.1837760
   Liu WH, 2020, J CLEAN PROD, V274, DOI 10.1016/j.jclepro.2020.123127
   Loske D, 2020, TRANSP RES INTERDISC, V6, DOI 10.1016/j.trip.2020.100165
   Luo WC, 2020, INT J HEALTH GEOGR, V19, DOI 10.1186/s12942-020-00249-7
   Mckee M, 2020, NAT MED, V26, P640, DOI 10.1038/s41591-020-0863-y
   Michail NA, 2020, TRANSP RES INTERDISC, V7, DOI 10.1016/j.trip.2020.100178
   Opricovic S, 2004, EUR J OPER RES, V156, P445, DOI 10.1016/s0377-2217(03)00020-1
   Opricovic S, 2007, EUR J OPER RES, V178, P514, DOI 10.1016/j.ejor.2006.01.020
   Peng P, 2018, TRANSPORT RES A-POL, V118, P852, DOI 10.1016/j.tra.2018.10.041
   Perdana T, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e05128
   Ruktanonchai NW, 2020, SCIENCE, V369, P1465, DOI 10.1126/science.abc5096
   Sharma R, 2024, INT J LOGIST-RES APP, V27, P2351, DOI 10.1080/13675567.2020.1830049
   Shemshadi A, 2011, EXPERT SYST APPL, V38, P12160, DOI 10.1016/j.eswa.2011.03.027
   Singh S, 2021, INT J PROD RES, V59, P1993, DOI 10.1080/00207543.2020.1792000
   Tabak BM, 2014, PHYSICA A, V394, P211, DOI 10.1016/j.physa.2013.09.010
   Tang CH, 2021, RES INT BUS FINANC, V56, DOI 10.1016/j.ribaf.2020.101355
   Tian HY, 2020, SCIENCE, V368, P638, DOI 10.1126/science.abb6105
   Wang GW, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141615
   Wei B, 2019, PHYSICA A, V522, P80, DOI 10.1016/j.physa.2019.01.125
   Yang YZ, 2019, PHYSICA A, V526, DOI 10.1016/j.physa.2019.121118
   You SB, 2020, HUM SOC SCI COMMUN, V7, DOI 10.1057/s41599-020-00545-4
   Zhou CH, 2020, GEOGR SUSTAIN, V1, P77, DOI 10.1016/j.geosus.2020.03.005
   Jie-Hong Z, 2020, J INTEGR AGR, V19, P2854, DOI 10.1016/S2095-3119(20)63366-4
NR 45
TC 18
Z9 18
U1 12
U2 121
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0967-070X
EI 1879-310X
J9 TRANSPORT POLICY
JI Transp. Policy
PD MAR
PY 2022
VL 118
BP 165
EP 178
DI 10.1016/j.tranpol.2022.01.016
EA FEB 2022
PG 14
WC Economics; Transportation
WE Social Science Citation Index (SSCI)
SC Business & Economics; Transportation
GA 2R4LV
UT WOS:000821085600007
PM 35125680
DA 2025-04-22
ER

PT J
AU Pomeroy-Stevens, A
   Goldman, B
   Grattan, K
AF Pomeroy-Stevens, Amanda
   Goldman, Bailey
   Grattan, Karen
TI Participatory Systems Mapping for Municipal Prioritization and Planning
SO JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE
LA English
DT Article
DE Systems thinking; Systems mapping; Urban systems; Participatory methods;
   Citizen participation
ID FOCUSED RESEARCH COLLABORATION; POLICY PARTNERS EXPERIENCES; THINKING;
   HEALTH; CHALLENGES; MAKERS; MODELS
AB Rapidly growing cities face new and compounding health challenges, leading governments and donors to seek innovative ways to support healthier, more resilient urban growth. One such approach is the systems mapping process developed by Engaging Inquiry (EI) for the USAID-funded Building Healthy Cities project (BHC) in four cities in Asia. This paper provides details on the theory and methods of the process. While systems mapping is not new, the approach detailed in this paper has been uniquely adapted to the purpose of municipal planning. Strategic stakeholder engagement, including participatory workshops with a diverse group of stakeholders, is at the core of this approach and led to deeper insights, greater buy-in, and shared understanding of the city's unique opportunities and challenges. This innovative mapping process is a powerful tool for defining municipal priorities within growing cities across the globe, where the situation is rapidly evolving. It can be used to provide evidence-based information on where to invest to gain the biggest impact on specific goals. This paper is part of a collection in this issue providing a detailed accounting of BHC's systems mapping approach across four project cities.
C1 [Pomeroy-Stevens, Amanda] JSI Res & Training Inst Inc, Bldg Hlth Cities Project, Arlington, VA 22202 USA.
   [Goldman, Bailey; Grattan, Karen] Engaging Inquiry LLC, Bldg Hlth Cities Project, Durham, NC USA.
RP Pomeroy-Stevens, A (corresponding author), JSI Res & Training Inst Inc, Bldg Hlth Cities Project, Arlington, VA 22202 USA.
EM amanda_pomeroy@jsi.com
OI Pomeroy-Stevens, Amanda/0000-0003-3738-4653
FU United States Agency for International Development (USAID)
   [AIDOAA-A-17-00028]; Engaging Inquiry, LLC
FX Building Healthy Cities is a 5-year cooperative agreement funded by the
   United States Agency for International Development (USAID) under
   Agreement No. AIDOAA-A-17-00028, beginning September 30, 2017. BHC is
   implemented by JSI Research & Training Institute, Inc. (JSI) with
   partners International Organization for Migration, Thrive Networks
   Global, and Urban Institute, and with support from Engaging Inquiry,
   LLC. The contents of this paper are the responsibility of Building
   Healthy Cities and do not necessarily reflect the views of USAID or the
   United States Government.
CR Bakhtawar A, 2022, J URBAN HEALTH, V99, P749, DOI 10.1007/s11524-022-00653-3
   Banks S, 2013, CONTEMP SOC SCI, V8, P263, DOI 10.1080/21582041.2013.769618
   Berke EM, 2014, J EPIDEMIOL COMMUN H, V68, P586, DOI 10.1136/jech-2012-201417
   Best A, 2010, EVID POLICY, V6, P145, DOI 10.1332/174426410X502284
   Brennan LK, 2015, J PUBLIC HEALTH MAN, V21, pS55, DOI 10.1097/PHH.0000000000000248
   Building Healthy Cities (BHC) project, 2020, BUILD HLTH CIT PROJ
   Building Healthy Cities (BHC) project, 2020, MAK MULT DAT INT SER
   Chughtai S, 2017, HEALTH POLICY PLANN, V32, P585, DOI 10.1093/heapol/czw159
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   del Barrio MO, 2018, INFECT DIS POVERTY, V7, DOI 10.1186/s40249-018-0462-z
   DeSavigny D, 2009, SYSTEMS THINKING FOR HEALTH SYSTEMS STRENGTHENING, P1
   Dittmar C., 2009, BEST BOTH WORLDS REP
   Dutta A, 2002, ORMS TODAY, V6
   Elsey H, 2019, BMJ GLOB HEALTH, V4, DOI 10.1136/bmjgh-2019-001501
   Fabel L., ONE DAY
   Fanzo J, SYSTEMS THINKING ACT
   Finegood DT, 2010, OBESITY, V18, pS13, DOI 10.1038/oby.2009.426
   Forrester J. W., 1961, IND DYNAMICS
   Friel S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188872
   Giles-Corti B, 2016, LANCET, V388, P2912, DOI 10.1016/S0140-6736(16)30066-6
   Goldman J, APPROACHING DEMOCRAC
   Haynes A, 2020, INT J HEALTH POLICY, V9, P65, DOI 10.15171/ijhpm.2019.86
   Helen Pineo., 2018, Cities Health, V2, P27, DOI [DOI 10.1080/23748834.2018.1429180, https://doi.org/10.1080/23748834.2018.1429180]
   Higgs C, 2019, INT J HEALTH GEOGR, V18, DOI 10.1186/s12942-019-0178-8
   Israel B. A., 2005, Methods in Community-Based Participatory Research for Health, P3
   Khan S, 2021, INT J HEALTH POLICY, V10, P281, DOI 10.34172/ijhpm.2020.50
   Kjellstrom T, 2007, J URBAN HEALTH, V84, pI86, DOI 10.1007/s11524-007-9171-9
   Kundu D., 2011, ECON POLIT WEEKLY, V46, P23
   Langellier Brent A, 2019, Health Place, V60, P102215, DOI 10.1016/j.healthplace.2019.102215
   Ledogar RJ, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4305-9
   Leischow SJ, 2008, AM J PREV MED, V35, pS196, DOI 10.1016/j.amepre.2008.05.014
   Meadows Donella., 2004, Dancing With Systems
   Mohan I, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149437
   Mohr J, 2019, KUMU RELATIONSHIP MA
   Morais LMD, 2021, HEALTH RES POLICY SY, V19, DOI 10.1186/s12961-020-00663-0
   Muh A, 2022, J URBAN HEALTH
   Peters DH, 2014, HEALTH RES POLICY SY, V12, DOI 10.1186/1478-4505-12-51
   Pineo H, 2020, J URBAN HEALTH, V97, P418, DOI 10.1007/s11524-019-00378-w
   Pineo H, 2018, J URBAN HEALTH, V95, P613, DOI 10.1007/s11524-018-0228-8
   Pomeroy-Stevens A, 2020, ENVIRON HEALTH INSIG, V14, DOI 10.1177/1178630220963126
   Roux AVD, 2019, GLOB CHALL, V3, DOI 10.1002/gch2.201800013
   Senge P. M., 1990, The fifth discipline: The art and practice of the learning organization
   Sheely R, 2015, WORLD DEV, V67, P251, DOI 10.1016/j.worlddev.2014.10.024
   Stankov I, 2021, SOC SCI MED, V282, DOI 10.1016/j.socscimed.2021.114157
   Strand PJ, 2018, INVISIBLE HANDS STRU
   Swanson RC, 2012, HEALTH POLICY PLANN, V27, P54, DOI 10.1093/heapol/czs090
   The Omidyar Group, 2017, SYST PRACTICE
   Kieu TK, 2022, J URBAN HEALTH, V99, P760, DOI 10.1007/s11524-022-00650-6
   Trochim WM, 2006, AM J PUBLIC HEALTH, V96, P538, DOI 10.2105/AJPH.2005.066001
   van der Heijden J, 2021, POLICY SOC, V40, P116, DOI 10.1080/14494035.2021.1934984
   Vandenbroeck P., 2007, Tackling Obesities: Future Choices - Building the Obesity System Map, DOI DOI 10.1037/E602972011-001
   Viswanathan M., 2004, Community-based participatory research: assessing the evidence: summary
   Wallerstein NB, 2006, HEALTH PROMOT PRACT, V7, P312, DOI 10.1177/1524839906289376
   Webster P, 2013, J URBAN HEALTH, V90, pS52, DOI 10.1007/s11524-011-9643-9
   Wilson E, 2018, INT J SOC RES METHOD, V21, P7, DOI 10.1080/13645579.2017.1296714
   World Health Organization World Health Organization Centre for Health Development, 2010, URB HEART URB HLTH E
NR 56
TC 5
Z9 7
U1 1
U2 10
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1099-3460
EI 1468-2869
J9 J URBAN HEALTH
JI J. Urban Health
PD AUG
PY 2022
VL 99
IS 4
BP 738
EP 748
DI 10.1007/s11524-022-00654-2
EA JUL 2022
PG 11
WC Public, Environmental & Occupational Health; Medicine, General &
   Internal
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health; General & Internal Medicine
GA 3P6XU
UT WOS:000824864700001
PM 35798924
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Sharma, R
   Pradhan, L
   Kumari, M
   Bhattacharya, P
AF Sharma, Richa
   Pradhan, Lolita
   Kumari, Maya
   Bhattacharya, Prodyut
TI Assessing urban heat islands and thermal comfort in Noida City using
   geospatial technology
SO URBAN CLIMATE
LA English
DT Article
DE IBI; LST; NDVI; Thermal discomfort; Urban hotspots; UTFVI
ID LAND-SURFACE TEMPERATURE; CLIMATE-CHANGE; 8 OLI; IMPACT; COVER;
   MANAGEMENT; CITIES; AREAS; INDEX; INDIA
AB Incessant conurbation in Noida has exacerbated its microclimate, causing rise in the thermal anomalies within the city. Between 2011 and 2019, there is an immoderate increase in the hotspots and overall decrease in the thermal comfort of the city, evaluated using the Urban Thermal Field Variance Index (UTFVI). The study further explores the association between land surface temperature (LST) and spectral indices -Normalized Difference Vegetation Index (NDVI) and Index-based built-up Index (IBI) for both the years. The results highlight that there is an increase of 6.42 degrees C in eight years. The NDVI values have increased from 0.06 to 0.14 during these years, suggesting increase in the total urban greenness in the city. The observed increase in IBI values explains the rising LST of the city. LST exhibits negative correlation with NDVI ascer-taining the cooling impact of green spaces and positive correlation with IBI highlighting the heating effect of built-up on urban microclimate. Measuring and monitoring the intensity of these UHI in space and time is important to analyse the thermal environment at the city scale. Identification of such anomalies in the urban thermal environment can provide the best input for equipping urban areas to be more resilient and sustainable.
C1 [Sharma, Richa; Pradhan, Lolita; Kumari, Maya] Amity Univ, Amity Sch Nat Resources & Sustainable Dev, Sect 125, Noida, Uttar Pradesh, India.
   [Bhattacharya, Prodyut] Guru Gobind Singh Indraprastha Univ, Sch Environm Management, Block A, New Delhi, India.
C3 Amity University Noida; GGS Indraprastha University
RP Sharma, R (corresponding author), Amity Univ, Amity Sch Nat Resources & Sustainable Dev, Sect 125, Noida, Uttar Pradesh, India.
EM richasharma1987@gmail.com
RI Kumari, Maya/AAS-5272-2021; Sharma, Richa/AGR-2141-2022
OI Sharma, Richa/0000-0003-0505-9266
CR Adiguzel F, 2020, THEOR APPL CLIMATOL, V139, P1493, DOI 10.1007/s00704-019-03065-7
   Ahmed S, 2018, EGYPT J REMOTE SENS, V21, P15, DOI 10.1016/j.ejrs.2017.08.001
   Alcantara C.A., 2019, INT ARCH PHOTOGRAMME, VXLII-4, P85
   Alfraihat R., 2016, Journal of Atmospheric Pollution, V4, P23, DOI [DOI 10.12691/JAP-4-1-3, 10.12691/JAP-4-1-3]
   Amirtham LR., 2016, Indian J Sci Technol, V9, P1, DOI [10.17485/ijst/2016/v9i5/87201, DOI 10.17485/IJST/2016/V9I5/87201]
   ARTIS DA, 1982, REMOTE SENS ENVIRON, V12, P313, DOI 10.1016/0034-4257(82)90043-8
   Balçik FB, 2014, ENVIRON MONIT ASSESS, V186, P859, DOI 10.1007/s10661-013-3427-5
   Bhatti SS, 2014, GISCI REMOTE SENS, V51, P445, DOI 10.1080/15481603.2014.939539
   Borbora J, 2014, SUSTAIN CITIES SOC, V11, P61, DOI 10.1016/j.scs.2013.12.001
   Cetin M, 2019, AIR QUAL ATMOS HLTH, V12, P1237, DOI 10.1007/s11869-019-00742-4
   Chandra S, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-017-3357-6
   Das M, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100591
   Department of the Interior U.S. Geological Survey, 2019, LANDSAT 8 L8 DATA US
   dos Santos AR, 2017, SCI TOTAL ENVIRON, V605, P946, DOI 10.1016/j.scitotenv.2017.05.275
   Fritz M, 2017, THEOR PRACT URB SUST, P15, DOI 10.1007/978-3-319-56091-5_2
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Guha S, 2018, EUR J REMOTE SENS, V51, P667, DOI 10.1080/22797254.2018.1474494
   Guha S, 2017, J APPL REMOTE SENS, V11, DOI 10.1117/1.JRS.11.036020
   Huang LM, 2008, BUILD ENVIRON, V43, P7, DOI 10.1016/j.buildenv.2006.11.025
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Joshi R., 2015, International Journal of Geosciences, V6, P274, DOI [10.4236/ijg.2015.63021, DOI 10.4236/IJG.2015.63021]
   Khallef Boubaker., 2020, Asian Journal of Environment Ecology, V12, P42, DOI [10.9734/AJEE/2020/v12i430167, DOI 10.9734/AJEE/2020/V12I430167]
   Kikon N, 2016, SUSTAIN CITIES SOC, V22, P19, DOI 10.1016/j.scs.2016.01.005
   Kotharkar R, 2018, LANDSCAPE URBAN PLAN, V169, P92, DOI 10.1016/j.landurbplan.2017.08.009
   Kotharkar R, 2016, J URBAN PLAN DEV, V142, DOI 10.1061/(ASCE)UP.1943-5444.0000277
   Kumar K S., 2012, International Journal of Engineering Science and Technology, V4, P771
   Kumari M, 2019, REMOTE SENS APPL, V15, DOI 10.1016/j.rsase.2019.100239
   Kumari M, 2017, SPAT INF RES, V25, P769, DOI 10.1007/s41324-017-0142-2
   Liu L, 2011, REMOTE SENS-BASEL, V3, P1535, DOI 10.3390/rs3071535
   Maithani S, 2020, J INDIAN SOC REMOTE, V48, P1297, DOI 10.1007/s12524-020-01157-w
   Mathew A, 2018, ENERG BUILDINGS, V159, P271, DOI 10.1016/j.enbuild.2017.10.062
   Mathew A, 2016, SUSTAIN CITIES SOC, V26, P264, DOI 10.1016/j.scs.2016.06.018
   Mohan M., 2011, J. Environ. Prot, V02, P465, DOI [10.4236/jep.2011.24054, DOI 10.4236/JEP.2011.24054]
   Naeem S, 2018, J APPL REMOTE SENS, V12, DOI 10.1117/1.JRS.12.016013
   Nowak DJ, 2018, URBAN FOR URBAN GREE, V32, P32, DOI 10.1016/j.ufug.2018.03.006
   Portela CI, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102100
   Rotem-Mindali O, 2015, APPL GEOGR, V56, P145, DOI 10.1016/j.apgeog.2014.11.023
   Roy S, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100593
   Sahana M, 2019, INT J URBAN SCI, V23, P205, DOI 10.1080/12265934.2018.1488604
   Schindler S, 2015, GEOFORUM, V60, P33, DOI 10.1016/j.geoforum.2015.01.008
   Sekertekin A, 2016, INT ARCH PHOTOGRAMM, V41, P289, DOI 10.5194/isprsarchives-XLI-B6-289-2016
   Singh P, 2017, SUSTAIN CITIES SOC, V32, P100, DOI 10.1016/j.scs.2017.02.018
   Sobrino JA, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12122052
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Streutker DR, 2002, INT J REMOTE SENS, V23, P2595, DOI 10.1080/01431160110115023
   Suhail M, 2019, MAPAN-J METROL SOC I, V34, P431, DOI 10.1007/s12647-019-00309-9
   Nguyen TM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061768
   United Nations, 2018, WORLD URBANIZATION P
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   Xu H, 2008, INT J REMOTE SENS, V29, P4269, DOI 10.1080/01431160802039957
   Yadav N, 2018, SUSTAIN CITIES SOC, V37, P298, DOI 10.1016/j.scs.2017.11.026
   Zha Y, 2003, INT J REMOTE SENS, V24, P583, DOI 10.1080/01431160304987
   Zhang Y, 2019, INT J APPL EARTH OBS, V75, P171, DOI 10.1016/j.jag.2018.10.005
   [张勇 Zhang Yong], 2006, [遥感学报, Journal of Remote Sensing], V10, P789
NR 54
TC 69
Z9 71
U1 4
U2 43
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JAN
PY 2021
VL 35
AR 100751
DI 10.1016/j.uclim.2020.100751
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA UY9HX
UT WOS:000701827300003
DA 2025-04-22
ER

PT J
AU Vamvakeridou-Lyroudia, LS
   Chen, AS
   Khoury, M
   Gibson, MJ
   Kostaridis, A
   Stewart, D
   Wood, M
   Djordjevic, S
   Savic, DA
AF Vamvakeridou-Lyroudia, L. S.
   Chen, A. S.
   Khoury, M.
   Gibson, M. J.
   Kostaridis, A.
   Stewart, D.
   Wood, M.
   Djordjevic, S.
   Savic, D. A.
TI Assessing and visualising hazard impacts to enhance the resilience of
   Critical Infrastructures to urban flooding
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Natural hazards; Climate change; Flood modelling; Resilience;
   Visualisation
ID RISK; METHODOLOGY; FRAMEWORK; HEALTH
AB The design, construction and maintenance of Critical Infrastructures (CI) is commonly based on standards that are rigorous, so as to withstand any climate or weather-linked pressures. However, due to climate change, climate characteristics may shift, resulting in increased frequency/magnitude of potential failures, or exposure to new unknown risks. As vital components for the normal functioning of modern societies, the resilience of CIs under climate stressors encompasses their structural integrity, their operational elements, and their capacity to maximize business output. In this work, we propose an integrated and participatory methodological approach to enhance the resilience of interconnected CIs to urban flooding under climate change, by assessing the risk and introducing adaptation measures.
   The main objectives of the proposed methodology and approach are: (i) to provide scientific evidence for better understanding of how future climate regimes might affect normal operation of interconnected CI in urban areas during their lifespan; (ii) to assess the cost-effectiveness of different adaptation measures; (iii) to involve local stakeholders and operators in the co-design of the approach, as well as the assessment and the evaluation of adaptation measures; (iv) to combine computational modelling with advanced 3D visualisation techniques for effectively engaging stakeholders in decision making; (v) to include risk assessment and damage functions co-designed by end-users and local stakeholders; (vi) to integrate all of the aforementioned components in a specifically designed cloud platform as a Decision Support System for end-users, (vii) to validate the DSS by the end users and local stakeholders.
   The paper presents the computational background and tools. Additionally, it describes a Case Study in Torbay, UK, where the full methodology and the proposed participatory approach have been applied, with all the specifics, i.e., the scenarios of extreme flooding, the numerical and visualisation results, the response of the stakeholders and the evaluation of selected adaptation measures. (C) 2019 Published by Elsevier B.V.
C1 [Vamvakeridou-Lyroudia, L. S.; Savic, D. A.] KWR Water Res Inst, Groningenhaven 7,POB 1072, NL-3430 BB Nieuwegein, Netherlands.
   [Vamvakeridou-Lyroudia, L. S.; Chen, A. S.; Khoury, M.; Gibson, M. J.; Djordjevic, S.; Savic, D. A.] Univ Exeter, Ctr Water Syst, North Pk Rd, Exeter EX4 4QF, Devon, England.
   [Kostaridis, A.] SATWAYS Ltd, 3 Christou Lada St, Athens 15233, Greece.
   [Stewart, D.; Wood, M.] Torbay Council, Town Hall, Torquay TQ1 3DR, England.
C3 University of Exeter
RP Vamvakeridou-Lyroudia, LS (corresponding author), Univ Exeter, Ctr Water Syst, North Pk Rd, Exeter EX4 4QF, Devon, England.
EM L.S.Vamvakeridou-Lyroudia@exeter.ac.uk
RI Chen, Albert/E-2735-2010; Savic, Dragan/G-2071-2012; Djordjevic,
   Slobodan/P-8853-2015
OI Savic, Dragan/0000-0001-9567-9041; Djordjevic,
   Slobodan/0000-0003-1682-1383; Chen, Albert S./0000-0003-3708-3332
FU EC H2020 EU-CIRCLE [GA 653824]; EC FP7 PEARL (Preparing for Extreme And
   Rare events in coastaL regions) [GA 603663]; UK Engineering and Physical
   Sciences Research Council [EP/H015736/1]; EPSRC [EP/H015736/1,
   EP/M018865/1] Funding Source: UKRI; NERC [NE/K008765/1] Funding Source:
   UKRI
FX The work presented in this paper was partially funded by the ongoing EC
   H2020 EU-CIRCLE (GA 653824) and the FP7 PEARL (Preparing for Extreme And
   Rare events in coastaL regions, GA 603663) projects. The development of
   CADDIES model was funded by the UK Engineering and Physical Sciences
   Research Council, grant EP/H015736/1 (Simplified Dual-Drainage Modelling
   for Flood Risk Assessment in Urban Areas). The authors would also thank
   to the Environment Agency, Ordnance Survey (GB), and Torbay Council for
   the provision of data. Finally the authors would like to thank Innovyze
   Inc., for providing a licence to use Inforworks for this paper.
CR Alderman K, 2012, ENVIRON INT, V47, P37, DOI 10.1016/j.envint.2012.06.003
   Andreoni V., 2014, CLIMATE VULNERABILIT
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], 2016, FLOOD RISK ASS CLIM
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], 2019, QGIS USER GUIDE RELE
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   Apel H, 2006, NAT HAZARDS, V38, P79, DOI 10.1007/s11069-005-8603-7
   Araya-Muñoz D, 2017, SCI TOTAL ENVIRON, V576, P508, DOI 10.1016/j.scitotenv.2016.10.077
   Boin A., 2007, J CCM, V15, P50, DOI DOI 10.1111/J.1468-5973.2007.00504.X
   Bouchon S., 2006, VULNERABILITY INTERD
   CEH (Centre for Ecology and Hydrology), 2013, FLOOD ESTIMATION HDB
   Chen AS, 2018, PROCEDIA ENGINEER, V212, P809, DOI 10.1016/j.proeng.2018.01.104
   Chen AS, 2016, NAT HAZARDS, V82, P857, DOI 10.1007/s11069-016-2223-2
   Dawson RJ, 2015, CLIMATE, V3, P1079, DOI 10.3390/cli3041079
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Guidolin M, 2016, ENVIRON MODELL SOFTW, V84, P378, DOI 10.1016/j.envsoft.2016.07.008
   Hall JW, 2003, P I CIVIL ENG-WATER, V156, P235
   Hammond M, 2018, URBAN WATER J, V15, P427, DOI 10.1080/1573062X.2018.1508598
   Hokstad P., 2012, Springer Series in Reliability Engineering, DOI [DOI 10.1007/978-1-4471-4661-2, 10.1007/978-1-4471-4661-2]
   Intergovernmental Panel on Climate Change, 2018, GLOB WARM 1 5 C, DOI [DOI 10.1017/9781009157940, 10.1017/9781009157940]
   Katopodis Theodoros, 2018, Energetika, V64, P23
   Khoury M, 2018, WATER-SUI, V10, DOI 10.3390/w10121885
   Kreibich H, 2017, RISK ANAL, V37, P774, DOI 10.1111/risa.12650
   Mark O, 2018, J FLOOD RISK MANAG, V11, pS28, DOI 10.1111/jfr3.12182
   Mazzorana B, 2019, SCI TOTAL ENVIRON, V655, P1089, DOI 10.1016/j.scitotenv.2018.11.217
   Penning-Rowsell E., 2010, The Benefits of Flood and Coastal Risk Management: a Handbook of Assessment Techniques-2010 (Multicoloured Manual)
   Priestnall G., 2000, Computers, Environment and Urban Systems, V24, P65, DOI 10.1016/S0198-9715(99)00047-2
   Susnik J, 2015, WATER RESOUR MANAG, V29, P161, DOI 10.1007/s11269-014-0833-6
NR 39
TC 51
Z9 56
U1 12
U2 78
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD MAR 10
PY 2020
VL 707
AR 136078
DI 10.1016/j.scitotenv.2019.136078
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA KD5SL
UT WOS:000507925700016
PM 31874400
OA Green Accepted, hybrid
DA 2025-04-22
ER

PT J
AU Huang, YM
   Cheng, JJ
   Chu, RW
AF Huang, Yimin
   Cheng, Junjun
   Chu, Rongwei
TI Resilience and well-being production among vulnerable consumers facing
   systematic constraints
SO JOURNAL OF CONSUMER AFFAIRS
LA English
DT Article
DE resilience; systematic constraints; well-being
ID LIFE SATISFACTION; MIGRANT WORKERS; CONSUMPTION; BOTTOM; CHINA;
   CONSTRUCTION; GUIDELINES; CHOICE; IMPACT
AB This paper explores how vulnerable consumers within systematic constraints of economic inequality, institutional barriers, and social segregation in an urban environment cope with their vulnerabilities to achieve their well-being. Taking China's internal migrant workers as a research context, our study examines their vulnerable experiences and reveals the impact of systematic constraints on migrant workers' self-perception, interpretation, and actions. It discovers a staged process through which migrant workers acquire resilience to optimize life satisfaction by fulfilling a sense of control over their migration life. Through a situated approach to capture the contextual impact of systematic constraints on vulnerability experiences and the construction of resilient pathways to achieve well-being, this paper puts forward critical welfare issues such as inclusive marketplace, social capital, and community empowerment which are important to migrants' social integration and capability building. This calls for more coordinated efforts to promote effective resilience building and sustained well-being among resource-constrained consumers.
C1 [Huang, Yimin] Macquarie Univ, Macquarie Business Sch, Dept Mkt, Sydney, NSW, Australia.
   [Cheng, Junjun] Shanghai Univ, SHU UTS SILC Business Sch, Shanghai, Peoples R China.
   [Chu, Rongwei] Fudan Univ, Sch Management, Dept Mkt, Shanghai, Peoples R China.
C3 Macquarie University; Shanghai University; Fudan University
RP Cheng, JJ (corresponding author), Shanghai Univ, SHU UTS SILC Business Sch, Shanghai, Peoples R China.
EM chengjunjuncjj@gmail.com
RI Cheng, Junjun/ABL-8419-2022
OI Cheng, Junjun/0000-0002-6700-1839; Huang, Yimin/0000-0002-4763-6386
FU Shanghai Planning Office of Philosophy and Social Science [2019BGL034];
   National Natural Science Foundation of China [71832002]
FX Shanghai Planning Office of Philosophy and Social Science, Grant/Award
   Number: 2019BGL034; National Natural Science Foundation of China,
   Grant/Award Number: 71832002
CR Adkins NR, 2010, J MACROMARKETING, V30, P93, DOI 10.1177/0276146709352222
   Ahuvia A.C., 1998, J MACROMARKETING, V18, P153, DOI DOI 10.1177/027614679801800207
   Aiyar A, 2020, J BUS ETHICS, V164, P243, DOI 10.1007/s10551-019-04275-9
   Andrews F.M., 1976, SOCIAL INDICATORS WE, DOI DOI 10.1007/978-1-4684-2253-5
   [Anonymous], 2011, POPULATION DISTRIBUT
   [Anonymous], 2017, CHIN STAT YB
   [Anonymous], 2016, RISE RURAL CONSUMERS
   [Anonymous], 2014, CHIN STAT YB
   Ansari S, 2012, J MANAGE STUD, V49, P813, DOI 10.1111/j.1467-6486.2012.01042.x
   ASHFORTH BE, 1989, ACAD MANAGE REV, V14, P20, DOI 10.2307/258189
   Baker SM, 2012, TRANSFORMATIVE CONSUMER RESEARCH FOR PERSONAL AND COLLECTIVE WELL-BEING, P543
   Baker SM, 2009, J PUBLIC POLICY MARK, V28, P114, DOI 10.1509/jppm.28.1.114
   Baker StaceyMenzel., 2005, Journal of Macromarketing, V25, P128, DOI DOI 10.1177/0276146705280622
   Baker StaceyMenzel., 2016, J ASSOC CONSUM RES, V1, DOI [10.1086/685690, DOI 10.1086/685690]
   Batat W, 2021, J BUS ETHICS, V169, P713, DOI 10.1007/s10551-019-04309-2
   Baumeister RF, 2000, J SOC CLIN PSYCHOL, V19, P29, DOI 10.1521/jscp.2000.19.1.29
   BELK RW, 1988, J CONSUM RES, V14, P449, DOI 10.1086/209128
   Bhattacharyya A, 2019, CONSUMP MARK CULT, V22, P489, DOI 10.1080/10253866.2018.1562686
   Blocker CP, 2013, J BUS RES, V66, P1195, DOI 10.1016/j.jbusres.2012.08.012
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Bone SA, 2014, J CONSUM RES, V41, P451, DOI 10.1086/676689
   BRIEF AP, 1993, J PERS SOC PSYCHOL, V64, P646, DOI 10.1037/0022-3514.64.4.646
   Briley DA, 2002, J CONSUM RES, V29, P400, DOI 10.1086/344426
   Chan CKC, 2009, CHINA QUART, P287, DOI 10.1017/S0305741009000319
   Chen J, 2015, CITIES, V49, P88, DOI 10.1016/j.cities.2015.07.011
   Chu RW, 2018, J MACROMARKETING, V38, P441, DOI 10.1177/0276146718802348
   Chu RW, 2015, MARKET LETT, V26, P57, DOI 10.1007/s11002-013-9267-9
   DIENER E, 1995, J PERS SOC PSYCHOL, V69, P851, DOI 10.1037/0022-3514.69.5.851
   Diener E, 2000, AM PSYCHOL, V55, P34, DOI 10.1037/0003-066X.55.1.34
   DIENER E, 1984, PSYCHOL BULL, V95, P542, DOI 10.1037/0033-2909.95.3.542
   EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557
   Fang T, 2013, J WORLD BUS, V48, P98, DOI 10.1016/j.jwb.2012.06.010
   Festinger L, 1954, HUM RELAT, V7, P117, DOI 10.1177/001872675400700202
   Flach F.F., 1997, RESLIENCE BOUNCE BAC
   Gopaldas A, 2015, CONSUMP MARK CULT, V18, P333, DOI 10.1080/10253866.2015.1019872
   Griffin James., 1986, Well-Being: Its Meaning, Measurement, and Moral Importance
   Hill RP, 2020, J CONSUM PSYCHOL, V30, P551, DOI 10.1002/jcpy.1161
   Hill RP, 2015, J PUBLIC POLICY MARK, V34, P156, DOI 10.1509/jppm.14.101
   Hillhorst Dorothea., 2004, Mapping Vulnerability: Disasters, Development, and People, P1
   Hobfoll SE, 2002, REV GEN PSYCHOL, V6, P307, DOI 10.1037//1089-2680.6.4.307
   Hoffmann AOI, 2019, J CONSUM AFF, V53, P1630, DOI 10.1111/joca.12233
   Huang Y., 2014, Journal of Business Market Management, V7, P254
   Huang YM, 2019, J PUBLIC POLICY MARK, V38, P96, DOI 10.1177/0743915618813356
   HUBER GP, 1985, STRATEGIC MANAGE J, V6, P171, DOI 10.1002/smj.4250060206
   Hutton M, 2016, J MARKET MANAG-UK, V32, P252, DOI 10.1080/0267257X.2015.1118144
   Ingenbleek PTM, 2014, J MACROMARKETING, V34, P199, DOI 10.1177/0276146714522122
   Johansson S, 2002, SOC INDIC RES, V58, P13, DOI 10.1023/A:1015771430504
   Kitano MK, 2005, ROEPER REV, V27, P200, DOI 10.1080/02783190509554319
   Kotan Murat., 2010, J SOCIO-ECON, V39, P369
   Leary RB, 2020, J PUBLIC POLICY MARK, V39, P99, DOI 10.1177/0743915619885393
   Li Xiaoming, 2007, World Health Popul, V9, P29
   LINDENBERG S, 1993, ACTA SOCIOL, V36, P191, DOI 10.1177/000169939303600304
   Lindenberg S., 1996, Verklarendde Sociologie: Opstellen voor Reinhard Wippler, P169
   Litt J, 2000, J CONSUM AFF, V34, P82, DOI 10.1111/j.1745-6606.2000.tb00085.x
   Luthar SS, 2000, CHILD DEV, V71, P543, DOI 10.1111/1467-8624.00164
   Lyubomirsky S., 2010, Social psychological foundations of clinical Psychology, P229
   Major B, 2005, ANNU REV PSYCHOL, V56, P393, DOI 10.1146/annurev.psych.56.091103.070137
   Martin KD, 2012, J CONSUM RES, V38, P1155, DOI 10.1086/661528
   Narayan D, 2009, MOV POVERTY, V2, P1, DOI 10.1596/978-0-8213-7215-9
   Ordabayeva N, 2011, J CONSUM RES, V38, P27, DOI 10.1086/658165
   Ormel J, 1999, SOC INDIC RES, V46, P61, DOI 10.1023/A:1006907811502
   Orthner D.K., 2005, FAM RELAT, V53, P159, DOI DOI 10.1111/J.00222445.2004.00006.X
   Ozanne LK, 2016, EUR J MARKETING, V50, P330, DOI 10.1108/EJM-12-2014-0802
   Pancer E, 2012, J HIST RES MARKETING, V4, P177, DOI 10.1108/17557501211195118
   Pavia TM, 2014, J MACROMARKETING, V34, P471, DOI 10.1177/0276146714527766
   Pettigrew AM, 1990, ORGAN SCI, V1, P267, DOI 10.1287/orsc.1.3.267
   Pettigrew S, 2014, J MARKET MANAG-UK, V30, P1772, DOI 10.1080/0267257X.2014.955044
   Richardson GE, 2002, J CLIN PSYCHOL, V58, P307, DOI 10.1002/jclp.10020
   Samli A.C., 1987, MARKETING QUALITY LI, P3
   Schor J.B., 1999, OVERSPENT AM WHY WE
   SEN A, 1985, J PHILOS, V82, P169, DOI 10.2307/2026184
   Sen A., 1999, Development as Freedom
   Shah AK, 2012, SCIENCE, V338, P682, DOI 10.1126/science.1222426
   Shultz CJ, 2009, J PUBLIC POLICY MARK, V28, P124, DOI 10.1509/jppm.28.1.124
   Smith BW, 2010, J POSIT PSYCHOL, V5, P166, DOI 10.1080/17439760.2010.482186
   Swider S, 2015, WORK EMPLOY SOC, V29, P41, DOI 10.1177/0950017014526631
   Thompson CJ, 1997, J MARKETING RES, V34, P438, DOI 10.2307/3151963
   Varman R., 2007, Consumption Markets Culture, V10, P117
   Wang JJ, 2014, J MACROMARKETING, V34, P45, DOI 10.1177/0276146713508137
   Wang JJ, 2011, J CONSUM AFF, V45, P528, DOI 10.1111/j.1745-6606.2011.01216.x
   Wisner B., 2004, Mapping Vulnerability: Disasters, Development, and People, P183, DOI DOI 10.4324/9781849771924
   Zhang ZX, 2014, PSYCHOL MARKET, V31, P786, DOI 10.1002/mar.20734
   Zheng SQ, 2009, EURASIAN GEOGR ECON, V50, P425, DOI 10.2747/1539-7216.50.4.425
NR 83
TC 12
Z9 13
U1 2
U2 25
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0022-0078
EI 1745-6606
J9 J CONSUM AFF
JI J. Consum. Aff.
PD DEC
PY 2020
VL 54
IS 4
BP 1328
EP 1354
DI 10.1111/joca.12333
EA OCT 2020
PG 27
WC Business; Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA PH6OR
UT WOS:000579307700001
DA 2025-04-22
ER

PT J
AU Cao, YM
   Langdon, P
   Chen, X
   Huang, CL
   Yan, Y
   Yang, J
   Zeng, LH
AF Cao, Yanmin
   Langdon, Peter
   Chen, Xu
   Huang, Chunling
   Yan, Yi
   Yang, Jia
   Zeng, Linghan
TI Regime shifts in shallow lake ecosystems along an urban -rural gradient
   in central China
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Critical transition; Urban-rural lakes; Urbanization; Subfossil
   chironomids; Palaeolimnology
ID HYDROLOGICAL REGULATION; IMPACTS; URBANIZATION; BIODIVERSITY; SEDIMENTS;
   ANTHROPOCENE; POLLUTANTS; NUTRIENTS; CLIMATE; METALS
AB Due to differential exploitation pressure, ecosystems along the urban to rural gradients often exhibit different status in ecological structure and function. This can be challenging for lake restoration, given the relative strengths, magnitudes and speed of the exploitation. In this paper, we reconstructed the ecological changes over the past century and identified the regime shifts based on subfossil aquatic biota (chironomid records) in three shallow lakes (Shahu, Yanxi and Futou Lake) along an urban-rural gradient in the Yangtze floodplain, China. Our results illustrated the differences among lakes in trajectories, timing of critical transition and current ecological status. Eutrophic chironomid taxa increased markedly and replaced macrophyte-related taxa in urban Shahu Lake and suburban Yanxi Lake, indicated by the shift from a stable, vegetation-dominated state to an alternative, algal-dominated state in 1963 CE and 1975 CE respectively. The ecological regime in rural Futou Lake transited around 1980 CE but it is still in a relatively clear water state with abundant macrophytes due to anthropogenic hydrological controls. The greatest variance of chironomid compositional changes in both Shahu and Yanxi Lake was captured by anthropogenic pollutants, and analyses show that when these pressures are high they may be further amplified by climate warming. Responses along the urban-rural gradient are exemplified by urban Shahu Lake having shifted to a fragile regime with weak resistance and resilience, while rural Futou Lake has stabilized in a new regime with improved ecological resilience. Suburban Yanxi Lake is still moving toward a new state, and as such is unstable, because the types and magnitudes of external stressors are changing with urbanization in the city. It is suggested that active and precise management strategies for lakes should be established along the urban-rural gradient given their distinct development trajectories, drivers and current status.
C1 [Cao, Yanmin; Yan, Yi; Yang, Jia] South Cent Univ Nationalities, Coll Resources & Environm Sci, Wuhan 430074, Peoples R China.
   [Langdon, Peter] Univ Southampton, Sch Geog & Environm Sci, Southampton SO17 1BJ, Hants, England.
   [Chen, Xu; Huang, Chunling; Zeng, Linghan] China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China.
C3 South Central Minzu University; University of Southampton; China
   University of Geosciences
RP Cao, YM (corresponding author), South Cent Univ Nationalities, Coll Resources & Environm Sci, Wuhan 430074, Peoples R China.
EM caoyanmin0720@126.com
RI Langdon, Peter/B-4682-2013; Zeng, Linghan/LEM-9531-2024; Chen,
   Xu/A-7846-2015
OI Chen, Xu/0000-0002-8164-3088; Cao, Yanmin/0000-0003-2310-3515; Cao,
   Yanmin/0009-0005-9530-0667; Langdon, Peter/0000-0003-2724-2643
FU National Natural Science Foundation of China [41877428, 41402307,
   41901235]; Natural Science Foundation of Hubei Province of China
   [2017CFB532]
FX We acknowledge Enlou Zhang, Boying Zheng, Dongliang Ning, Xin Mao, Yuxin
   Zhu and Weilan Xia for field and laboratory assistance. We are grateful
   to Prof. Yi Zhang who provides the data of historical lake area. This
   study was supported by the National Natural Science Foundation of China
   (Grant Number: 41877428, 41402307, 41901235), the Natural Science
   Foundation of Hubei Province of China (GrantNumber: 2017CFB532).
CR [Anonymous], 1998, ECOL STUD, DOI DOI 10.1007/978-1-4612-0695-8
   [Anonymous], 2018, R LANG ENV STAT COMP
   Appleby P.G., 1978, CATENA, V5, P1, DOI [10.1016/S0341-8162(78)80002-2, DOI 10.1016/S0341-8162(78)80002-2]
   Bertani I, 2016, ECOSYSTEMS, V19, P16, DOI 10.1007/s10021-015-9914-5
   Bowman A., 2018, R package "sm": Nonparametric smoothing methods (2.2-5.6)
   Boyle JF, 1999, WATER AIR SOIL POLL, V112, P21, DOI 10.1023/A:1005040713678
   Brodersen KF, 2001, FRESHWATER BIOL, V46, P253, DOI 10.1046/j.1365-2427.2001.00652.x
   Brooks SJ, 2007, The Identification and Use of Palaearctic Chironomidae Larvae in Palaeoecology
   Bureau of Statistics of Hubei Province, 2009, HUB COMP STAT 1949 2
   Bureau of Statistics of Hubei Province, 2010, WUH STAT YB 2010 201
   Cao YM, 2016, HYDROBIOLOGIA, V779, P147, DOI 10.1007/s10750-016-2810-y
   Chen X, 2019, CATENA, V174, P546, DOI 10.1016/j.catena.2018.11.041
   Chen X, 2016, ECOHYDROLOGY, V9, P315, DOI 10.1002/eco.1637
   Chen X, 2013, LIMNOLOGICA, V43, P10, DOI 10.1016/j.limno.2012.03.002
   Chen X, 2011, HYDROBIOLOGIA, V661, P223, DOI 10.1007/s10750-010-0526-y
   Compilation Committee of Lakes in Hubei Province, 2014, LAK HUB PROV
   Davidson TA, 2010, FRESHWATER BIOL, V55, P584, DOI 10.1111/j.1365-2427.2009.02391.x
   Dearing JA, 2012, P NATL ACAD SCI USA, V109, pE1111, DOI 10.1073/pnas.1118263109
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Ghrefat H, 2006, CHEMOSPHERE, V65, P2114, DOI 10.1016/j.chemosphere.2006.06.043
   González-Macías C, 2006, ENVIRON MONIT ASSESS, V118, P211, DOI 10.1007/s10661-006-1492-8
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hall RI, 1999, LIMNOL OCEANOGR, V44, P739, DOI 10.4319/lo.1999.44.3_part_2.0739
   Hill MJ, 2017, GLOBAL CHANGE BIOL, V23, P986, DOI 10.1111/gcb.13401
   JENSEN HS, 1992, LIMNOL OCEANOGR, V37, P577, DOI 10.4319/lo.1992.37.3.0577
   Kim BSM, 2018, MAR POLLUT BULL, V127, P548, DOI 10.1016/j.marpolbul.2017.12.049
   Kong XZ, 2017, GLOBAL CHANGE BIOL, V23, P737, DOI 10.1111/gcb.13416
   Langdon PG, 2010, FRESHWATER BIOL, V55, P531, DOI 10.1111/j.1365-2427.2009.02345.x
   Le C, 2010, ENVIRON MANAGE, V45, P662, DOI 10.1007/s00267-010-9440-3
   Lee JM, 2019, URBAN ECOSYST, V22, P149, DOI 10.1007/s11252-018-0802-6
   Liang J, 2020, INT REV HYDROBIOL, V105, P94, DOI 10.1002/iroh.201801953
   Liu EF, 2012, ENVIRON MONIT ASSESS, V184, P2105, DOI 10.1007/s10661-011-2103-x
   McDonnell Mark J., 1997, Urban Ecosystems, V1, P21, DOI 10.1023/A:1014359024275
   Moore JW, 2003, AMBIO, V32, P13, DOI 10.1639/0044-7447(2003)032[0013:LEATUF]2.0.CO;2
   Naselli-Flores I., 2008, P TAAL 2007 12 WORLD, P1333
   Nyenje PM, 2010, SCI TOTAL ENVIRON, V408, P447, DOI 10.1016/j.scitotenv.2009.10.020
   Quinlan R, 2001, FRESHWATER BIOL, V46, P1529, DOI 10.1046/j.1365-2427.2001.00763.x
   Reid PC, 2016, GLOBAL CHANGE BIOL, V22, P682, DOI 10.1111/gcb.13106
   Rieradevall M, 2001, J PALEOLIMNOL, V25, P81, DOI 10.1023/A:1008185517959
   Rodionov SN, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019448
   Sasa M., 1978, Japanese Journal of Sanitary Zoology, V29, P93
   Schooler SS, 2011, NATURE, V470, P86, DOI 10.1038/nature09735
   SCHUELER T., 2001, Urban Lake Management, V3, P747
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Seto KC, 2010, ANNU REV ENV RESOUR, V35, P167, DOI 10.1146/annurev-environ-100809-125336
   Smilauer P., 2014, Multivariate analysis of ccological data using CANOCO 5, V5
   Song G. H., 2008, THESIS
   Song SF, 2002, URBAN STUD, V39, P2317, DOI 10.1080/0042098022000033890
   Steffen W, 2015, ANTHROPOCENE REV, V2, P81, DOI 10.1177/2053019614564785
   Taranu ZE, 2015, ECOL LETT, V18, P375, DOI 10.1111/ele.12420
   Teurlincx S, 2019, CURR OPIN ENV SUST, V36, P49, DOI 10.1016/j.cosust.2018.10.011
   Thapalia A, 2015, ENVIRON SCI TECHNOL, V49, P132, DOI 10.1021/es5036893
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Wang R, 2019, GLOBAL CHANGE BIOL, V25, P3871, DOI 10.1111/gcb.14776
   Wang R, 2012, NATURE, V492, P419, DOI 10.1038/nature11655
   Wu X.W., 1992, J WUHAN IRON STEEL U, V15, P38
   Wuhan Environmental Protection Bureau, 2012, WUH ENV QUAL B 2012
   Xie C, 2017, ENVIRON SCI TECHNOL, V51, P3669, DOI 10.1021/acs.est.6b04260
   Xu K, 2010, PROG PHYS GEOG, V34, P207, DOI 10.1177/0309133309360626
   Yang Guishan, 2010, Hupo Kexue, V22, P799
   Zeng LH, 2018, SCI TOTAL ENVIRON, V621, P219, DOI 10.1016/j.scitotenv.2017.11.181
   Zhang EL, 2012, J PALEOLIMNOL, V48, P367, DOI 10.1007/s10933-012-9608-3
   Zhang K, 2018, ANTHROPOCENE, V24, P30, DOI 10.1016/j.ancene.2018.11.001
   Zhang QH, 2019, FRESHWATER BIOL, V64, P799, DOI [10.1111/fwb.13263, 10.1111/fwb.13263|]
   Zhang Yan Zhang Yan, 2009, South China Fruits, P1
   Zhang YL, 2016, SCI REP-UK, V6, DOI 10.1038/srep23867
NR 66
TC 19
Z9 24
U1 10
U2 107
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD SEP 1
PY 2020
VL 733
AR 139309
DI 10.1016/j.scitotenv.2020.139309
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA LY1AE
UT WOS:000540254000003
PM 32446073
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Gim, C
   Miller, CA
AF Gim, Changdeok
   Miller, Clark A.
TI Institutional interdependence and infrastructure resilience
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID LOCK-IN; INTERCONNECTED INFRASTRUCTURES; URBAN RESILIENCE; RATIONAL
   CHOICE; CLIMATE-CHANGE; SYSTEMS; CHALLENGES; WATER; ADAPTATION;
   GOVERNANCE
AB Enhancing the resilience of infrastructure to climate change requires attending to the interdependencies that occur among complex configurations of social, ecological, and technological systems (SETS). This entails extending analyses of infrastructure resilience beyond engineering assessments of the physical interdependencies among infrastructure systems to also include assessments of the social and environmental linkages that connect infrastructures together and create both new forms of vulnerability in interdependent systems and pathways through which failures can potentially cascade during disasters. In this article, we suggest that institutions-defined as regularized patterns and routines in the dynamics of social activities, values, relationships, and rules-form a key social element that creates interdependencies in SETS and therefore deserve special attention in efforts to map the vulnerability and resilience of complex, multi-infrastructure systems. Specifically, we propose a framework for institutional analysis that differentiates among three kinds of institutional interdependencies: vertical interdependencies between levels of institutional hierarchy; lateral interdependencies between different sectors or geographies; and longitudinal interdependencies through time. Illustrating the application of this framework in a case study of water and energy systems and institutions in Arizona, we suggest that infrastructure planning, design, and management needs to attend carefully to institutional interdependencies to strengthen the resilience of infrastructure systems to the challenges of climate change.
C1 [Gim, Changdeok] Univ Calif Irvine, Sch Law, Irvine, CA 92697 USA.
   [Miller, Clark A.] Arizona State Univ, Ctr Energy Soc, Sch Future Innovat Soc, Tempe, AZ 85281 USA.
C3 University of California System; University of California Irvine;
   Arizona State University; Arizona State University-Tempe
RP Gim, C (corresponding author), Univ Calif Irvine, Sch Law, Irvine, CA 92697 USA.; Miller, CA (corresponding author), Arizona State Univ, Ctr Energy Soc, Sch Future Innovat Soc, Tempe, AZ 85281 USA.
EM cgim@lawnet.uci.edu; clark.miller@asu.edu
OI Gim, Changdeok/0000-0001-7848-1404
FU National Science Foundation [NSF 1360509]; WSC-Category 1: Advancing
   Infrastructure and Institutional Resilience to Climate Change for
   Coupled Water-Energy Systems [NSF 1444755, NSF 1441352]; RIPS Type 2:
   Resilience Simulation for Water [NSF 1441352]; Collaborative Research;
   RIPS Type 2: Resilience Simulation for Water, Power Road Networks
FX This material is based on work supported by the National Science
   Foundation under NSF 1360509, WSC-Category 1: Advancing Infrastructure
   and Institutional Resilience to Climate Change for Coupled Water-Energy
   Systems; NSF 1441352, Collaborative Research; RIPS Type 2: Resilience
   Simulation for Water, Power & Road Networks; and NSF 1444755, Urban
   Resilience to Extremes (UREx) Sustainability Research Network.
CR Alderson DL, 2010, IEEE T SYST MAN CY A, V40, P839, DOI 10.1109/TSMCA.2010.2048027
   Anderies JM, 2013, POLICY STUD J, V41, P513, DOI 10.1111/psj.12027
   [Anonymous], 2011, STAND
   [Anonymous], 1960, MANAGEMENT SCI MODEL
   [Anonymous], P AM PHIL SOC
   [Anonymous], 2019, C40 CITIES UNDERSTAD, P1
   [Anonymous], 2007, The New Orleans hurricane protection system: What went wrong and why, DOI DOI 10.1061/9780784408933
   Arizona Water Banking Authority (AWBA) Arizona Department of Water Resource (ADWR) Central Arizona Project (CAP): Recovery of water stored by the Arizona water Banking Authority, 2021, REC WAT STOR AR WAT
   ARTHUR WB, 1989, ECON J, V99, P116, DOI 10.2307/2234208
   Atkinson MM, 2011, POLICY SOC, V30, P9, DOI 10.1016/j.polsoc.2010.12.002
   Baxter G, 2011, INTERACT COMPUT, V23, P4, DOI 10.1016/j.intcom.2010.07.003
   Bollinger LA, 2014, REG ENVIRON CHANGE, V14, P919, DOI 10.1007/s10113-013-0428-4
   Bracken N, 2015, CONCENTRATING SOLAR
   Brown K., 2001, Trade-off analysis for participatory coastal zone decision-making
   Bullard RobertD., 2009, Race, place, and environmental justice after Hurricane Katrina: Struggles to reclaim, rebuild, and revitalize New Orleans and the Gulf Coast, DOI 10.4324/9780429497858
   Busby JW, 2021, ENERGY RES SOC SCI, V77, DOI 10.1016/j.erss.2021.102106
   Cedergren A, 2018, SAFETY SCI, V110, P51, DOI 10.1016/j.ssci.2017.12.025
   Centeno MA, 2015, ANNU REV SOCIOL, V41, P65, DOI 10.1146/annurev-soc-073014-112317
   Chappin EJL, 2014, UTIL POLICY, V31, P10, DOI 10.1016/j.jup.2014.07.003
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chester M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00016-y
   Chester MV, 2020, NAT CLIM CHANGE, V10, P488, DOI 10.1038/s41558-020-0741-0
   Choi TY, 2021, J BUS LOGIST, V42, P200, DOI 10.1111/jbl.12276
   Clark SS, 2019, SUSTAIN RESIL INFRAS, V4, P21, DOI 10.1080/23789689.2018.1448668
   Colten CE, 2007, TECHNOL SOC, V29, P173, DOI 10.1016/j.techsoc.2007.01.006
   Corvellec H, 2013, J CLEAN PROD, V50, P32, DOI 10.1016/j.jclepro.2012.12.009
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Dong SJ, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000839
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Eakin, 2018, J EXTREME EVENTS, V5
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Edwards PN, 2003, MODERNITY AND TECHNOLOGY, P185
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Farahmand H, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101515
   Farrell H, 2018, KNOWL SPACE, V13, P23, DOI 10.1007/978-3-319-75328-7_2
   Fastiggi M, 2021, URBAN STUD, V58, P1262, DOI 10.1177/0042098020907277
   FERC NERC Regional Entity, 2021, Tech. Rep.
   Forsyth T, 2014, DEV CHANGE, V45, P1093, DOI 10.1111/dech.12110
   Frantzeskaki N, 2014, AMBIO, V43, P542, DOI 10.1007/s13280-014-0512-0
   Gim C, 2019, ENVIRON SCI POLICY, V97, P36, DOI 10.1016/j.envsci.2019.03.004
   Grabowski ZJ, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000383
   Grimm NB, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1002/ehs2.1255
   Hale RL, 2015, EARTHS FUTURE, V3, P110, DOI 10.1002/2014EF000295
   Hall PA, 1996, POLIT STUD-LONDON, V44, P936, DOI 10.1111/j.1467-9248.1996.tb00343.x
   Helmrich A, 2021, ENVIRON RES-INFRASTR, V1, DOI 10.1088/2634-4505/ac0a4f
   Helmrich Chester, 2022, FRONT SUSTAIN CITIES, V17, P1
   Hill J, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002400
   Hirt P, 2017, J SOUTHWEST, V59, P264, DOI 10.1353/jsw.2017.0017
   Hollangel E, 2021, RESILIENT HLTH CARE, P9
   Hollnagel E., 2011, RESILIENCE ENG PRACT
   Hommels A, 2020, SCI CULT-UK, V29, P410, DOI 10.1080/09505431.2019.1710740
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Janssen M., 2007, International Journal of the Commons, V1, P43, DOI [10.18352/ijc.12, 10.18352/bmgn-lchr.12., DOI 10.18352/IJC.12]
   Jasanoff S., 2015, DREAMSCAPES MODERNIT, DOI DOI 10.7208/CHICAGO/9780226276663.001.0001
   Kim K., 2006, INT J PUBLIC ADMIN, V11, P19, DOI DOI 10.1080/12294659.2006.10805075
   Krumme K., 2016, Renew. Energy Sustain. Dev., V2, P70, DOI DOI 10.21622/RESD.2016.02.2.070
   Künneke RW, 2009, STUD EVOL POLIT ECON, P1
   Kurokawa Kiyoshi, 2018, U PENNSYLVANIA ASIAN, V13, P47
   Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254
   Layzer JudithA., 2012, The Environmental Case: Translating Values into Policy
   LINDBLOM CE, 1959, PUBLIC ADMIN REV, V19, P79, DOI 10.2307/973677
   Linnenluecke M., 2015, The Climate resilient organization
   Lohr S, 2019, TECHS LEADING EDGE W
   Lubell M, 2021, NAT SUSTAIN, V4, P664, DOI 10.1038/s41893-021-00707-5
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   McPhearson Timon., Wicked Problems, Social-Ecological Systems, and the Utility of Systems Thinking
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Miller C., 2017, The Handbook of Science and Technology Studies, VFourth, P909
   Miller Clark., 2004, Earthly Politics: Local and Global in Environmental Politics
   Miller CA, 2020, ENVIRON SCI POLICY, V113, P88, DOI 10.1016/j.envsci.2018.01.016
   Miller CA, 2008, SOCIOL COMPASS, V2, P1896, DOI 10.1111/j.1751-9020.2008.00175.x
   Miller TR, 2018, ISSUES SCI TECHNOL, V34, P46
   Mims C., 2022, How Sanctions on Russia, War in Ukraine and Covid in China are Transforming Global Supply Chains
   Mohebbi S, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102327
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Mumford E, 2006, INFORM SYST J, V16, P317, DOI 10.1111/j.1365-2575.2006.00221.x
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Nanto, 2011, 75700 CRS
   Nyssen A.-S., 2011, Resilience engineering in practice: A guidebook
   O'Rourke T.D., 2007, Bridge-Washington-National Academy of Engineering, V37, P22
   Ostrom E, 2010, AM ECON REV, V100, P641, DOI 10.1257/aer.100.3.641
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Payo A, 2016, J INFRASTRUCT SYST, V22, DOI 10.1061/(ASCE)IS.1943-555X.0000268
   Perrow C., 1984, Normal Accidents: Living with High -Risk Technologies, P4
   Perrow C, 2011, B ATOM SCI, V67, P44, DOI 10.1177/0096340211426395
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Peters BG, 2017, POLICY SOC, V36, P385, DOI 10.1080/14494035.2017.1361633
   Petit, 2015, ANAL CRITICAL INFRAS
   Ramaswami A, 2012, J IND ECOL, V16, P801, DOI 10.1111/j.1530-9290.2012.00566.x
   Reisner Marc., 1986, CADILLAC DESERT
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rochlin G.I., 1987, NAV WAR COLL REV, V40, P76
   Scott CA, 2011, ENERG POLICY, V39, P6622, DOI 10.1016/j.enpol.2011.08.013
   Scott W.R., 1995, Institutions and Organisations, V2
   Shih WC, 2020, HARVARD BUS REV, V98, P82
   Shove E., 2016, Beyond the Networked city: infrastructure reconfigurations and urban change in the North and South, P242
   Shukla P., 2022, Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P7
   Slota S., 2017, The Handbook of Science and Technology Studies, VFourth, P529
   Star SL, 1999, AM BEHAV SCI, V43, P377, DOI 10.1177/00027649921955326
   Stokols D., 2017, Social Ecology in the Digital Age: Solving Complex Problems in a Globalized World
   Tasic J, 2019, COMPLEXITY, DOI 10.1155/2019/3946356
   Tellman B, 2018, ECOL SOC, V23, DOI [10.5751/ES-09712-230101, 10.5751/es-09712-230101]
   Tempels B, 2014, WATER INT, V39, P872, DOI 10.1080/02508060.2014.958797
   Termeer CJAM, 2019, POLICY SOC, V38, P167, DOI 10.1080/14494035.2019.1617971
   Thacker S, 2019, NAT SUSTAIN, V2, P324, DOI 10.1038/s41893-019-0256-8
   Thompson JD, 1967, ORG ACTION SOCIAL SC
   U.S. Department of Interior, 2010, COL RIV DOC 2008
   Wilbanks ThomasJ., 2013, Climate Change and Infrastructure, Urban Systems
   Wilkinson S.J., 2018, . Building Urban Resilience through Change of Use
   Zimmerman R, 2001, J URBAN TECHNOL, V8, P97, DOI 10.1080/106307301753430764
NR 114
TC 11
Z9 12
U1 8
U2 58
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD AUG
PY 2022
VL 57
AR 101203
DI 10.1016/j.cosust.2022.101203
EA JUL 2022
PG 12
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 3F6VB
UT WOS:000830803400001
OA hybrid
DA 2025-04-22
ER

PT J
AU Camponeschi, C
AF Camponeschi, Chiara
TI Narratives of vulnerability and resilience: An investigation of the
   climate action plans of New York City and Copenhagen
SO GEOFORUM
LA English
DT Article
DE Climate change; Resilience; Vulnerability; Community engagement; Urban
   governance; Neoliberalism
ID COMMUNITY RESILIENCE; ADAPTATION; POLITICS; JUSTICE; RISK;
   GENTRIFICATION; PERSPECTIVE; SOLIDARITY; LINKAGES; METAPHOR
AB This paper argues that the rise of a global mainstream resilience narrative is advancing a strategically simplified concept of vulnerability that is being exploited to open up lucrative new opportunities for profit. In particular, it presents three ways in which mainstream narratives are currently masking-if not exacerbating-the vulnerability of residents in New York City and Copenhagen. First, it explores how a technocratic orientation to community engagement is affecting local perceptions of participatory processes such as planning consultations and visioning exercises. Next, it investigates how the pursuit of an 'infrastructure-first' approach to interventions and a reputation for eco-innovation is creating tensions between institutional and local experiences of resilience. Lastly, it discusses some of the ways in which simplistic understandings of vulnerability are leading to adverse outcomes-such as eco-gentrification and displacement-that are making local communities more, not less, vulnerable to the impacts of climate change. It concludes by arguing that the meaningful integration of diverse perspectives and values is integral to the process of giving rise to more critical and expansive narratives of resilience.
C1 [Camponeschi, Chiara] York Univ, Dahdaleh Inst Global Hlth Res, Toronto, ON, Canada.
C3 York University - Canada
RP Camponeschi, C (corresponding author), York Univ, Dahdaleh Inst Global Hlth Res, Toronto, ON, Canada.
EM ccampone@yorku.ca
FU Pierre Elliott Trudeau Foundation; Ontario Trillium Scholarship
FX This research was funded by the Pierre Elliott Trudeau Foundation as
   well as by the Ontario Trillium Scholarship.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2003, ECON GEOGR, V79, P387
   Aldrich D.P., 2017, CONVERSATION 0214
   Berry HL, 2010, INT J PUBLIC HEALTH, V55, P123, DOI 10.1007/s00038-009-0112-0
   Berzoff J, 2011, SMITH COLL STUD SOC, V81, P132, DOI 10.1080/00377317.2011.590768
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Butler J., 2006, Precarious life: the powers of mourning and violence
   C40, C40 EV 2019 C40 WORL
   C40 Cities, C40 PROGR CIT FIN
   Calzada I, 2015, J URBAN TECHNOL, V22, P23, DOI 10.1080/10630732.2014.971535
   Chavez-Diaz M., 2015, A Conceptual Mapping of Healing Centered Youth Organizing: Building a Case for Healing Justice
   Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x
   Cho R, 2019, NEW YORK CITY IS PRE
   City of Copenhagen, 2011, COPENHAGEN CLIMATE A
   City of Copenhagen, 2016, KLIMAKVARTER COPENHA, V2nd
   Clayton S, 2017, MENTAL HLTH OUR CHAN
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cox RS, 2017, ENVIRON RES, V158, P499, DOI 10.1016/j.envres.2017.07.014
   Dalby S, 2013, GEOFORUM, V49, P184, DOI 10.1016/j.geoforum.2013.06.013
   DeVerteuil G., 2016, CITY, V20, P143, DOI [DOI 10.1080/13604813.2015.1125714, https://doi.org/10.1080/13604813.2015.1125714]
   Diprose Kristina., 2015, Soundings: A Journal of Political Culture, V58, P44
   Dooling S, 2009, INT J URBAN REGIONAL, V33, P621, DOI 10.1111/j.1468-2427.2009.00860.x
   ENGEL GL, 1977, SCIENCE, V196, P129, DOI 10.1126/science.847460
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   FORESTER J, 1980, J AM PLANN ASSOC, V46, P275, DOI 10.1080/01944368008977043
   Fritze Jessica G, 2008, Int J Ment Health Syst, V2, P13, DOI 10.1186/1752-4458-2-13
   Fullilove MT, 2016, J BIOETHIC INQ, V13, P215, DOI 10.1007/s11673-016-9713-5
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Ginwright Shawn A, 2015, New Dir Stud Leadersh, V2015, P33, DOI 10.1002/yd.20151
   Gjedde C., 2016, COPENHAGENS CLIMATE
   Greenovation, STUD TOURS SUST
   2018, [No title captured], DOI DOI 10.4324/9781315661407
   Harvey MR, 1996, J TRAUMA STRESS, V9, P3, DOI 10.1002/jts.2490090103
   Hodson Mike., 2010, CITY, V14, P298, DOI DOI 10.1080/13604813.2010.482277
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kaijser A, 2014, ENVIRON POLIT, V23, P417, DOI 10.1080/09644016.2013.835203
   Katz C., 2004, GROWING GLOBAL EC RE
   Keil R., 2009, CITY, V13.2, P231
   Keil R., 2014, GLOBAL SUBURBAN 0224
   KELLY J G, 1986, Prevention in Human Services, V4, P1
   Kelly U, 2017, RESILIENCE, V5, P10, DOI 10.1080/21693293.2016.1228156
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Krishnamurthy PK, 2011, GLOBAL ENVIRON CHANG, V21, P143, DOI 10.1016/j.gloenvcha.2010.09.007
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   MacLeod G, 2011, URBAN STUD, V48, P2629, DOI 10.1177/0042098011415715
   Manyena SB, 2006, DISASTERS, V30, P433
   McCann E, 2017, ENVIRON PLANN A, V49, P1816, DOI 10.1177/0308518X17708876
   Melchert T.P., 2015, AM PSYCHOL ASS, P11
   Michelsen N, 2017, RESILIENCE-ABINGDON, V5, P61, DOI 10.1080/21693293.2016.1228159
   Milman O., 2018, GUARDIAN 0111
   Ministry of Foreign Affairs, SUST DAN
   New York City Special Initiative for Resilient Rebuilding, 2013, PLANYC STRONG MOR RE
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   North P, 2017, ENVIRON PLANN A, V49, P1797, DOI 10.1177/0308518X16686353
   Pearsall H, 2010, LOCAL ENVIRON, V15, P569, DOI 10.1080/13549839.2010.487528
   Pfefferbaum B, 2015, AM BEHAV SCI, V59, P238, DOI 10.1177/0002764214550298
   Powell NS, 2014, RESILIENCE-ABINGDON, V2, P135, DOI 10.1080/21693293.2014.948324
   Prilleltensky I, 2008, J COMMUNITY PSYCHOL, V36, P116, DOI 10.1002/jcop.20225
   Pringle P, 2012, CLIM DEV, V4, P104, DOI 10.1080/17565529.2012.707608
   Rigby CW, 2011, AUST J RURAL HEALTH, V19, P249, DOI 10.1111/j.1440-1584.2011.01223.x
   Rodin J, 2015, BUILDING CITIES TOMO
   Sandercock Leonie., 2003, Planning Theory and Practice, V4, P1, DOI [DOI 10.1080/1464935032000057209, 10.1080/1464935032000057209]
   Scannell L, 2017, ENVIRON BEHAV, V49, P359, DOI 10.1177/0013916516637648
   Sengupta Somini, 2019, The New York Times
   Slater T., 2014, Open Democracy
   Smith A, 2010, ECOL SOC, V15
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Solnit Rebecca, 2009, PARADISE BUILT HELL
   Spivak G, 2012, ANN M ASS AM GEOGR 2
   Swim J., 2009, REPORT AM PSYCHOL AS
   TRICKETT EJ, 1984, AM J COMMUN PSYCHOL, V12, P261, DOI 10.1007/BF00896748
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Visit Copenhagen, SUST COP
   Vrasti W, 2017, RESILIENCE, V5, P1, DOI 10.1080/21693293.2016.1228155
   Wachsmuth D, 2016, NATURE, V536, P391, DOI 10.1038/536391a
   WATTS MJ, 1993, PROG HUM GEOG, V17, P43, DOI 10.1177/030913259301700103
   Wilk J, 2018, URBAN CLIM, V24, P633, DOI 10.1016/j.uclim.2017.08.004
   Willox AC, 2013, EMOT SPACE SOC, V6, P14, DOI 10.1016/j.emospa.2011.08.005
   Wilson K, 2003, HEALTH PLACE, V9, P83, DOI 10.1016/S1353-8292(02)00016-3
   Zebrowski C, 2017, RESILIENCE-ABINGDON, V5, P44, DOI 10.1080/21693293.2016.1228158
NR 82
TC 22
Z9 24
U1 2
U2 21
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0016-7185
EI 1872-9398
J9 GEOFORUM
JI Geoforum
PD JUL
PY 2021
VL 123
BP 78
EP 88
DI 10.1016/j.geoforum.2021.05.001
EA MAY 2021
PG 11
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA SS0CU
UT WOS:000661411300009
DA 2025-04-22
ER

PT J
AU Ewing, LC
AF Ewing, Lesley C.
TI Resilience from coastal protection
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE coastal communities; coastal hazards; resilience; shore protection
   elements; CCHPR Index
ID TSUNAMI
AB Coastal areas are important residential, commercial and industrial areas; but coastal hazards can pose significant threats to these areas. Shoreline/coastal protection elements, both built structures such as breakwaters, seawalls and revetments, as well as natural features such as beaches, reefs and wetlands, are regular features of a coastal community and are important for community safety and development. These protection structures provide a range of resilience to coastal communities. During and after disasters, they help to minimize damages and support recovery; during non-disaster times, the values from shoreline elements shift from the narrow focus on protection. Most coastal communities have limited land and resources and few can dedicate scarce resources solely for protection. Values from shore protection can and should expand to include environmental, economic and social/cultural values. This paper discusses the key aspects of shoreline protection that influence effective community resilience and protection from disasters. This paper also presents ways that the economic, environmental and social/cultural values of shore protection can be evaluated and quantified. It presents the Coastal Community Hazard Protection Resilience (CCHPR) Index for evaluating the resilience capacity to coastal communities from various protection schemes and demonstrates the use of this Index for an urban beach in San Francisco, CA, USA.
C1 [Ewing, Lesley C.] Calif Coastal Commiss, San Francisco, CA 94105 USA.
RP Ewing, LC (corresponding author), Calif Coastal Commiss, 45 Fremont St, San Francisco, CA 94105 USA.
EM lewing@coastal.ca.gov
FU American Society of Civil Engineers
FX Some of the field observations included in this paper were based upon
   field surveys to Galveston, TX, American Samoa, Samoa and Japan and were
   supported, in part, by the American Society of Civil Engineers.
CR [Anonymous], LOW EL COAST ZON LEC
   Anthoff D., 2006, Working Paper 96.
   ASCE Hurricane Katrina External Review Panel, 2007, NEW ORL HURR SYST WH
   ASCE-COPRI-PARI Coastal Structures Field Survey Team, 2013, TOH JAP EARTHQ TSUN
   Beven JL, 2008, MON WEATHER REV, V136, P1109, DOI 10.1175/2007MWR2074.1
   Blankespoor B, 2012, 6277 WORLD BANK
   Ceres ClimateWise University of Cambridge and ICLEI, 2013, BUILD CLIM RES CIT P
   Dalrymple R.A., 2005, BRIDGE WASHINGTONNAT, V35, P4
   de Groot R, 2012, ECOSYST SERV, V1, P50, DOI 10.1016/j.ecoser.2012.07.005
   Edge Billy., 2013, Hurricane Ike Field Investigation: A Report of Field Observations on October 3 - 6, 2008
   Ewing L., 2012, Coastal Engineering Proceedings, V1, DOI DOI 10.9753/ICCE.V33.MANAGEMENT.1
   Ewing L., 2006, Shore Beach, V74, P3
   Ewing L., 2009, Shore Beach, V77, P9
   Ewing L., 2011, Coastal Engineering Proceedings, V1, DOI DOI 10.9753/ICCE.V32.MANAGEMENT.7
   Ewing Laura Anne Drewicz., 2014, THESIS
   Fritz HM, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026784
   Geist EL, 2006, SCI AM, V294, P56, DOI 10.1038/scientificamerican0106-56
   Guy Carpenter & Company Inc, 2005, REP IND OC EV INV PO
   IPET (Interagency Performance Evaluation Task Force), 2006, PERF EV NEW ORL SE L, VI
   Liu PLF, 2005, SCIENCE, V308, P1595, DOI 10.1126/science.1110730
   Okal EA, 2015, PHILOS T R SOC A, V373, DOI 10.1098/rsta.2014.0370
   Plyer A., 2014, FACTS FEATURES KATRI
   Spalding MD, 2012, AECOM ESA PWA NELSON
   Synolakis C, 2015, PHILOS T R SOC A, V373, DOI 10.1098/rsta.2014.0379
   Synolakis CE, 2006, PHILOS T R SOC A, V364, P2231, DOI 10.1098/rsta.2006.1824
   Takahashi S, 2011, 1231 PORT AIRP RES 1
   UNESCO/IOC, 2012, UNESCO UNU S GREAT E
   UNESCO/IOC, 2011, BULLETIN, V6
   Union of Myanmar and the Asian Disaster Preparedness Center, 2009, HAZ PROF MYANM SUPP
   US Army Corps of Engineers Civil Works Directorate, 2013, COAST RISK RED RES
   Walker R., 2011, Conference on coastal engineering practice, P1064, DOI [DOI 10.1061/9780784411902, 10.1061/9780784411902]
NR 32
TC 10
Z9 13
U1 5
U2 69
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD OCT 28
PY 2015
VL 373
IS 2053
AR 20140383
DI 10.1098/rsta.2014.0383
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA CY2VT
UT WOS:000366267000014
PM 26392613
OA Bronze
DA 2025-04-22
ER

PT J
AU Chen, ZH
   Liu, S
   Liao, W
   Zhang, JX
AF Chen, Zihan
   Liu, Su
   Liao, Wei
   Zhang, Junxue
TI Construction of Security Pattern for Historical Districts in Cultural
   Landscape Based on MCR Model: A Case Study of Chaozong Street, Changsha
   City
SO SUSTAINABILITY
LA English
DT Article
DE historical districts conservation; cultural landscape security pattern;
   MCR; resilient protective framework; sustainable development
ID LAND; HERITAGE
AB This study aimed to establish a comprehensive and sustainable approach to the conservation of historical districts through the "Cultural Landscape Security Pattern" (CLSP) theory. Deploying this theory can penetrate limitations posed by physical and social-emotional factors, enabling a resilient framework which can coordinate long-term heritage protection with urbanization in a more sustainable manner. Chaozong Street in Changsha City, China, was taken as the locus of study, which was initiated by quantitatively analyzing and evaluating the cultural landscape. The ArcGIS spatial analysis and the minimum cumulative resistance (MCR) model were then considered to model different levels of CLSP. It was on this basis that corresponding regulations and development strategies were then proposed. The results from the study demonstrate that implementing CLSP in historic districts can construct a protective network over the districts, which can then guide the recovery of fragmented historical built environments, as well as ensure continuity of historical consciousness and integrity. In addition, in comparison with conventional protection planning methods, this method features greater flexibility and adaptability when considering and accounting for complex spatial issues in historic districts and provides a novel approach for similar studies.
C1 [Chen, Zihan; Liu, Su] Hunan Univ, Sch Architecture & Planning, Changsha 410082, Peoples R China.
   [Liao, Wei] UCL, Inst Sustainable Heritage, Gower St, London WC1E 6BT, England.
   [Zhang, Junxue] Jiangsu Univ Sci & Technol, Sch Civil Engn & Architecture, Zhenjiang 212100, Peoples R China.
C3 Hunan University; University of London; University College London;
   Jiangsu University of Science & Technology
RP Chen, ZH (corresponding author), Hunan Univ, Sch Architecture & Planning, Changsha 410082, Peoples R China.
EM zihanchen1228@163.com; liusu001@163.com; wei.liao.21@ucl.ac.uk;
   zjx2021@just.edu.cn
RI Zhang, Junxue/JZD-4517-2024; Zihan, Chen/IVH-4782-2023
OI Liao, Wei/0009-0001-2848-767X; Zhang, Junxue/0000-0001-9164-3957
CR Boussaa D, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010048
   Dai L, 2021, SCI TOTAL ENVIRON, V754, DOI 10.1016/j.scitotenv.2020.141868
   Forman R.T. T., 1995, Land Mosaics: The Ecology of Landscapes and Regions, Cambridge
   Green D.G., 2006, Complexity in Landscape Ecology
   Guan Z., 2020, Chin. Landsc. Archit, V36, P96, DOI [10.19775/j.cla.2020.02.0096, DOI 10.19775/J.CLA.2020.02.0096]
   Heath T., 2013, Revitalising Historic Urban Quarters, V1st Editio, DOI DOI 10.4324/9780080516271
   Heyman T., 2007, P 3 INT WORKSH SOFTW, P3, DOI [10.1109/SESS.2007.4, DOI 10.1109/SESS.2007.4]
   Huang QQ, 2021, INTEGR ENVIRON ASSES, V17, P573, DOI 10.1002/ieam.4358
   Kahan JH, 2009, J HOMEL SECUR EMERG, V6
   Kongjian Y., 1999, Acta Ecologica Sinica, V19, P8, DOI 10.3321/j.issn:1000-0933.1999.01.002
   Lan W., 2021, CHINA ANC CITY, V35, P11
   Lavrenova O., 2019, SPACES MEANINGS SEMA, P11, DOI [10.1007/978-3-030-15168-3_2, DOI 10.1007/978-3-030-15168-3_2]
   Lenzerini F, 2011, EUR J INT LAW, V22, P101, DOI 10.1093/ejil/chr006
   Li DK, 2019, REG SCI URBAN ECON, V79, DOI 10.1016/j.regsciurbeco.2019.103470
   [李晖 Li Hui], 2011, [生态学报, Acta Ecologica Sinica], V31, P5928
   Li MY, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103305
   Li Q, 2022, ECOL INDIC, V137, DOI 10.1016/j.ecolind.2022.108723
   Li SC, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108026
   Li Y, 2016, TOURISM MANAGE, V52, P30, DOI 10.1016/j.tourman.2015.06.008
   [刘孝富 Liu Xiaofu], 2010, [生态学报, Acta Ecologica Sinica], V30, P421
   Mark B., 2006, GREEN INFRASTRUCTURE
   Peng WF, 2019, NAT RESOUR RES, V28, P43, DOI 10.1007/s11053-018-9401-8
   Stephenson J, 2008, LANDSCAPE URBAN PLAN, V84, P127, DOI 10.1016/j.landurbplan.2007.07.003
   Su YX, 2016, URBAN FOR URBAN GREE, V19, P35, DOI 10.1016/j.ufug.2016.06.013
   [孙九霞 Sun Jiuxia], 2016, [地理研究, Geographical Research], V35, P1801
   Taylor K., 2006, International Journal of Heritage Studies, V12, P267, DOI 10.1080/13527250600604555
   Taylor K, 2009, LANDSCAPE RES, V34, P7, DOI 10.1080/01426390802387513
   Van Oers R., 2012, CHIN LANDSC ARCHIT, V28, P16
   Wang F., 2015, URBANIZATION LOCALIT
   [汪芳 Wang Fang], 2017, [地理研究, Geographical Research], V36, P1834
   [汪芳 Wang Fang], 2017, [地理研究, Geographical Research], V36, P3
   [王思易 Wang Siyi], 2013, [生态学报, Acta Ecologica Sinica], V33, P4425
   Wang XH, 2022, URBAN SCI, V6, DOI 10.3390/urbansci6020029
   [王禹 Wang Yu], 2021, [生态学报, Acta Ecologica Sinica], V41, P1209
   Wei L, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109544
   Wei SM, 2020, HUM ECOL RISK ASSESS, V26, P782, DOI 10.1080/10807039.2018.1536521
   Wen Bo Wen Bo, 2014, Transactions of the Chinese Society of Agricultural Engineering, V30, P181
   Whitehand JWR, 2010, PROCD SOC BEHV, V2, P6948, DOI 10.1016/j.sbspro.2010.05.047
   Willis K.G., 2014, Handbook of the economics of art and culture, V2, P145, DOI DOI 10.1016/B978-0-444-53776-8.00007-6
   Wong L., 2005, GLOBALIZATION INTANG
   Yang Kai, 2021, Journal of Ecology and Rural Environment, V37, P555, DOI 10.19741/j.issn.1673-4831.2020.0850
   [游巍斌 You Weibin], 2014, [山地学报, Mountain Research], V32, P195
   Yu K, 1995, THESIS HARVARD U CAM
   Yu K., 2016, LANDSC ARCHIT FRONT, VVolume 4
   Yu KJ, 1996, LANDSCAPE URBAN PLAN, V36, P1, DOI 10.1016/S0169-2046(96)00331-3
   Yu Kong-jian, 2009, Yingyong Shengtai Xuebao, V20, P1932
   [俞孔坚 Yu Kongjian], 2005, [地理研究, Geographical Research], V24, P69
   [张丽芳 Zhang Lifang], 2019, [水土保持通报, Bulletin of Soil and Water Conservation], V39, P217
   Zhang S, 2010, URBAN PLAN FORUM, V6, P102
   Zhang YJ, 2015, J ENVIRON ENG LANDSC, V23, P192, DOI 10.3846/16486897.2015.1036872
   Zhu L., 2022, CHIN OVERSEAS ARCHIT, V8, P22, DOI [10.19940/j.cnki.1008-0422.2022.08.004, DOI 10.19940/J.CNKI.1008-0422.2022.08.004]
NR 51
TC 3
Z9 3
U1 17
U2 59
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2023
VL 15
IS 13
AR 10619
DI 10.3390/su151310619
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA M2QK5
UT WOS:001028676000001
OA gold
DA 2025-04-22
ER

PT J
AU Buchholz, S
   Kossmann, M
AF Buchholz, Saskia
   Kossmann, Meinolf
TI Research note. Visualisation of summer heat intensity for different
   settlement types and varying surface fraction partitioning
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Climate adaptation; Ternary diagrams; Micro-scale numerical model;
   MUKLIMO_3; Urban planning; Idealised cities
AB Urban planners and stakeholders require knowledge about the effectiveness of city-scale climate adaptation measures in order to develop climate resilient cities and to push forward the political process for the implementation of climate adaptation strategies in cities. This study examines the impact of modifications in urban surface fractions of buildings, impervious and pervious surfaces on summer air temperatures using urban climate modelling of idealised cities. Sensitivity tests are performed for nine typical settlement types in Germany. The results for minimum and maximum temperatures are analysed and plotted in a ternary diagram. The novel approach of using ternary diagrams for the aggregation and visualisation of modelling results clearly identifies thermally unfavourable ranges of urban surface partitioning that should be avoided for urban settlements. Furthermore, the diagrams are used to derive quantitative recommendations for the most effective reduction of summer heat intensity. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Buchholz, Saskia; Kossmann, Meinolf] Deutsch Wetterdienst, Dept Climate & Environm Consultancy, D-63067 Offenbach, Germany.
C3 Deutscher Wetterdienst
RP Buchholz, S (corresponding author), Deutsch Wetterdienst, Dept Climate & Environm Consultancy, Frankfurter Str 135, D-63067 Offenbach, Germany.
EM saskia.buchholz@dwd.de; meinolf.kossmann@dwd.de
FU DWD Sonderforschungsprogramm Sensitivitatsstudien zur thermischen
   Belastung in Stadten [SFP-TP 1.6]
FX We thank our colleagues Dr. Stefan Krahenmann for his support in using R
   for plotting ternary diagrams and Marcel Reichel for providing Fig. A1.
   We further acknowledge the financial support of the DWD
   Sonderforschungsprogramm SFP-TP 1.6: Sensitivitatsstudien zur
   thermischen Belastung in Stadten (September 2011-December 2016).
CR [Anonymous], 2009, Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation
   Barlow JF, 2014, URBAN CLIM, V10, P216, DOI 10.1016/j.uclim.2014.03.011
   BMBAU, 1980, SCHRIFTENREIHE RAUMO
   DWD, 2015, WETT DTSCH WETT
   Emeis S., 2000, METEOROLOGIE STICHWO
   Früh B, 2011, J APPL METEOROL CLIM, V50, P167, DOI 10.1175/2010JAMC2377.1
   Howarth RJ, 1996, BRIT J HIST SCI, V29, P337, DOI 10.1017/S000708740003449X
   Lemonsu A, 2013, CLIMATIC CHANGE, V116, P679, DOI 10.1007/s10584-012-0521-6
   Martilli A, 2014, URBAN CLIM, V10, P430, DOI 10.1016/j.uclim.2014.03.003
   Oke T.R., 2006, INITIAL GUIDANCE OBT
   SIEBERT J, 1992, BOUND-LAY METEOROL, V59, P1, DOI 10.1007/BF00120684
   Sievers U., 1983, Contributions to Atmospheric Physics, V56, P58
   Sievers U., 1986, Contributions to Atmospheric Physics, V59, P13
   Sievers U., 1995, METEOROL Z, V3, P3
   Sievers U, 2012, METEOROL Z, V21, P349, DOI 10.1127/0941-2948/2012/0331
   Staiger H, 2012, INT J BIOMETEOROL, V56, P165, DOI 10.1007/s00484-011-0409-6
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart ID, 2011, INT J CLIMATOL, V31, P200, DOI 10.1002/joc.2141
   Theeuwes NE, 2013, J GEOPHYS RES-ATMOS, V118, P8881, DOI 10.1002/jgrd.50704
NR 19
TC 12
Z9 13
U1 3
U2 19
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD DEC
PY 2015
VL 144
BP 59
EP 64
DI 10.1016/j.landurbplan.2015.08.002
PG 6
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA CY0DU
UT WOS:000366077300006
OA hybrid
DA 2025-04-22
ER

PT J
AU Zhong, C
   Ng, ST
   Skitmore, M
AF Zhong, Chen
   Ng, S. Thomas
   Skitmore, Martin
TI An interdependent infrastructure asset management framework for
   high-density cities
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER
LA English
DT Article
DE infrastructure planning; maintenance & inspection; town & city planning
AB Infrastructure facilities, namely highways, drinking water networks, sewerage systems, gas pipelines and telecommunication networks are crucial to the daily operation and continuous development of high-density cities. However, managing these infrastructure assets is not an easy task not only because the co-existence of various infrastructure facilities is in confined spaces, but also due to the interdependency and hence the possible cascading effects brought by the failure of one infrastructure asset to the other adjacent facilities. The ability to share and exchange information among various government departments and utility companies should greatly improve the efficiency and cost-effectiveness of infrastructure asset management (IAM). This paper examines the processes, stakeholders and independent relationships involved in IAM through two case infrastructure studies of Hong Kong. Flow diagrams are used to illustrate the process and stakeholders involved while system dynamics modelling is performed to simulate the interactions. Generic causal models are then developed to help improve the IAM process in high-density cities. The proposed interdependent IAM framework should help improve our understanding on the bottlenecks and pave way for the development of pragmatic policies and practices for smart and resilient high-density cities.
C1 [Zhong, Chen; Ng, S. Thomas] Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China.
   [Skitmore, Martin] Queensland Univ Technol, Sch Civil Engn & Built Environm, Brisbane, Qld, Australia.
C3 University of Hong Kong; Queensland University of Technology (QUT)
RP Ng, ST (corresponding author), Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China.
EM tstng@hku.hk
RI Ng, S./AAZ-9757-2020; Skitmore, Martin/I-9743-2012; Ng, Thomas Shiu
   Tong/C-1809-2009
OI Ng, Thomas Shiu Tong/0000-0003-2062-0234; Skitmore,
   Martin/0000-0001-7135-1201
FU Research Grants Council of the Hong Kong Special Administrative Region
   (HKSAR) Government [17202215, 17248216, 17204017]
FX The authors acknowledge the Research Grants Council of the Hong Kong
   Special Administrative Region (HKSAR) Government for financially
   supporting this research study through the General Research Fund (grants
   17202215, 17248216 and 17204017).
CR ASCE, 2019, J INFRASTRUCTURE SYS
   Attoh-Okine Nii., 2016, RESILIENCE ENG MODEL
   Bessis Nik., 2014, BIG DATA INTERNET TH
   Burns R.B., 2000, Introduction to research methods, V4th
   CORROSIONPEDIA, 2016, PROACTIVE MAINTENANC
   Di Giorgio A, 2012, IEEE SYST J, V6, P510, DOI 10.1109/JSYST.2012.2190695
   Eweda A, 2015, J PERFORM CONSTR FAC, V29, DOI 10.1061/(ASCE)CF.1943-5509.0000481
   Halfawy MR, 2008, J COMPUT CIVIL ENG, V22, P216, DOI 10.1061/(ASCE)0887-3801(2008)22:3(216)
   Halfawy MR, 2006, CAN J CIVIL ENG, V33, P1459, DOI 10.1139/L05-098
   Hannon B., 2001, DYNAMIC MODELING, Vsecond
   Hastings AN, 2010, PHYS ASSET MANAGEMEN, V2
   Hudson R.W., 1997, INFRASTRUCTURE MANAG
   Ingenium I, 2011, INT INFRASTRUCTURE M
   MACMMS, 2016, REACT MAINT
   Nazareth DL, 2015, INFORM MANAGE-AMSTER, V52, P123, DOI 10.1016/j.im.2014.10.009
   Ogata K., 1998, System dynamics, V3
   Pederson P., 2006, Critical infrastructure interdependency modeling: a survey of U.S. and international research
   Rehan R, 2014, TUNN UNDERGR SP TECH, V39, P116, DOI 10.1016/j.tust.2012.12.003
   Rinaldi S.M., 2004, 37th Hawaii Int. Conf. on Syst. Sci, P1, DOI DOI 10.1109/HICSS.2004.1265180
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Robinson CP, 1998, ISSUES SCI TECHNOL, V15, P61
   Sitzabee EW, 2013, AIR SPACE POWER NOV, P45
   Uddin W., 2013, PUBLIC INFRASTRUCTUR
   Vanier DJ, 2001, J COMPUT CIVIL ENG, V15, P35, DOI 10.1061/(ASCE)0887-3801(2001)15:1(35)
   Weber B., 2010, Infrastructure as an Asset Class: Investment Strategies, Project Finance and PPP
   Wong K, 2006, HARNESS MODERN TECHN
   Woodhouse J, 2014, 9 WCEAM PRET 670 I A, P670
   Woodhouse J, 2004, PAS 55 SPECIFICATION
NR 28
TC 1
Z9 1
U1 0
U2 14
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 0965-0903
EI 1751-7699
J9 P I CIVIL ENG-MUNIC
JI Proc. Inst. Civil Eng.-Munic. Eng.
PD SEP
PY 2021
VL 174
IS 3
BP 180
EP 190
AR 1800053
DI 10.1680/jmuen.18.00053
PG 11
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA UU4SD
UT WOS:000698791300008
DA 2025-04-22
ER

PT J
AU Hu, ZB
   Wu, GD
   Wu, HY
   Zhang, LM
AF Hu, Zhibin
   Wu, Guangdong
   Wu, Huanyu
   Zhang, Limao
TI Cross-sectoral preparedness and mitigation for networked typhoon
   disasters with cascading effects
SO URBAN CLIMATE
LA English
DT Article
DE Typhoon disasters; Cascading effects; Complex network; Urban resilience
ID P-ASTERISK MODELS; RISK-ASSESSMENT; ADAPTIVE COMANAGEMENT; HAZARD
   MITIGATION; WARNING SYSTEM; MANAGEMENT; FLOOD; COASTAL; CHINA; CHAIN
AB Urban disaster management is currently limited, because it treats typhoon disasters in isolation and does not consider the cascading effects when multiple disasters interact. In addition, the current literature does not clearly recognize cross-sector collaboration networks, which is a countermeasure for reducing the risks of urban disasters and maintaining sustainable development. This study adopted a complex network approach to examine the cascading effects of typhoon disasters and to identify the types of hazard events and vulnerability paths for urban areas. Cross-sector collaboration networks were constructed to identify the network parameters that facilitate collaborative behaviors among different sectors. Using a comparative analysis of cases (Japan and the Philippines), two weighted complex networks were constructed to simulate disaster cascading effects in urban systems. The results can be summarized as four aspects: (1) For the node degree centrality, rainstorms had the highest values in the typhoon disaster network of Japan and the Philippines. (2) Considering the node betweenness centrality, rainstorms played an extremely crucial role in typhoon disasters with cascading effects in Japan. In contrast, landslides were the most difficult disasters to mitigate in the Philippines. (3) After the analysis of node and edge removal strategy, the global efficiency of network decreased from 0.092 and 0.084 to 0.064, indicating all intentional removal strategies led to better disaster management performance than random removal strategies. (4) The results of the Exponential Random Graph Model (ERGM) indicate that network structures and node attributes were the main factors affecting the formation of cross-sector collaborative networks. These results provide information and increase understanding about the typhoon disasters with cascading effects in urban systems. This study furnishes effective disaster prevention and reduction strategies for urban managers to improve urban sustainability and resilience.
C1 [Hu, Zhibin; Wu, Guangdong] Chongqing Univ, Sch Publ Policy & Adm, Chongqing 400044, Peoples R China.
   [Wu, Huanyu] Shenzhen Univ, Coll Civil & Transportat Engn, Shenzhen 518060, Guangdong, Peoples R China.
   [Zhang, Limao] Huazhong Univ Sci & Technol, Sch Civil & Hydraul Engn, Wuhan 430074, Hubei, Peoples R China.
C3 Chongqing University; Shenzhen University; Huazhong University of
   Science & Technology
RP Wu, GD (corresponding author), Chongqing Univ, Sch Publ Policy & Adm, Chongqing 400044, Peoples R China.
EM hzbmail1023@163.com; gd198410@163.com; wuhuanyu@szu.edu.cn;
   zlm@hust.edu.cn
RI Wu, Huanyu/LTC-6233-2024; Zhang, Limao/A-1320-2016
FU National Natural Science Foundation of China [71972018]; Fundamental
   Research Funds for the Central Universities [2021CDJSKJC02]; Graduate
   Research and Innovation Foundation of Chongqing, China [CYB21056]
FX Acknowledgement This study is supported by the National Natural Science
   Foundation of China (No.71972018) , the Fundamental Research Funds for
   the Central Universities (No. 2021CDJSKJC02) and the Graduate Research
   and Innovation Foundation of Chongqing, China (No. CYB21056) . The
   authors would like to gratefully acknowledge the editor and anonymous
   reviewers for their insightful comments and suggestions on the earlier
   version of this paper.
CR Arianos S, 2009, CHAOS, V19, DOI 10.1063/1.3077229
   Arlikatti S., 2012, SOC DEV ISSUES, V34, P64
   Arslan A, 2021, MULTINATL BUS REV, V29, P21, DOI 10.1108/MBR-07-2020-0153
   Arya B, 2006, BUS ETHICS Q, V16, P211, DOI 10.5840/beq200616223
   Avoyan E, 2021, INT J WATER RESOUR D, V37, P24, DOI 10.1080/07900627.2019.1707070
   Bae Y, 2016, HABITAT INT, V52, P50, DOI 10.1016/j.habitatint.2015.08.027
   Barthélemy M, 2004, EUR PHYS J B, V38, P163, DOI 10.1140/epjb/e2004-00111-4
   Berariu R, 2015, INT J DISAST RISK RE, V12, P350, DOI 10.1016/j.ijdrr.2015.03.005
   Bies RJ, 2007, ACAD MANAGE REV, V32, P788, DOI 10.5465/AMR.2007.25275515
   Birkmann J., 2006, Measuring vulnerability to promote disaster resilient societies: Conceptual frameworks and definitions
   Bodin O, 2016, GLOBAL ENVIRON CHANG, V41, P183, DOI 10.1016/j.gloenvcha.2016.10.004
   Bojovic D, 2020, J ENVIRON PLANN MAN, V63, P818, DOI 10.1080/09640568.2019.1614435
   Brody SD, 2008, DISASTERS, V32, P1, DOI 10.1111/j.1467-7717.2007.01024.x
   Bryson JM, 2006, PUBLIC ADMIN REV, V66, P44, DOI 10.1111/j.1540-6210.2006.00665.x
   Bryson JM, 2015, PUBLIC ADMIN REV, V75, P647, DOI 10.1111/puar.12432
   Buzna L, 2006, PHYSICA A, V363, P132, DOI 10.1016/j.physa.2006.01.059
   Cai Y, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020387
   Cao LJ, 2011, QUATERN INT, V244, P202, DOI 10.1016/j.quaint.2011.01.004
   Chan EYY, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16040596
   Chen HY, 2021, INT J DISAST RISK RE, V54, DOI 10.1016/j.ijdrr.2020.102033
   Clarke A, 2010, J BUS ETHICS, V94, P85, DOI 10.1007/s10551-011-0781-5
   Colding J, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102761
   Contractor NS, 2006, ACAD MANAGE REV, V31, P681, DOI [10.5465/AMR.2006.21318925, 10.2307/20159236]
   Cui YL, 2021, J MT SCI-ENGL, V18, P2108, DOI 10.1007/s11629-020-6513-5
   Demiroz F., 2015, DISAS MANAGE, V1, P169, DOI [DOI 10.1007/978-4-431-55414-1_11, 10.1007/978-4-431-55414-111, DOI 10.1007/978-4-431-55414-111]
   Dentoni D, 2016, J BUS ETHICS, V135, P35, DOI 10.1007/s10551-015-2728-8
   El-Masri S., 2002, Int Plan Stud, V7, P157, DOI DOI 10.1080/13563470220132236
   Elliott RJR, 2015, J URBAN ECON, V88, P50, DOI 10.1016/j.jue.2015.05.001
   Esteban M, 2009, SUSTAIN SCI, V4, P151, DOI 10.1007/s11625-009-0089-x
   Fang JY, 2017, OCEAN COAST MANAGE, V139, P125, DOI 10.1016/j.ocecoaman.2017.02.003
   Federal Emergency Management Agency,, 2014, NAT PREP RES LIB
   FLOYD RW, 1962, COMMUN ACM, V5, P345, DOI 10.1145/367766.368168
   FRIEDKIN NE, 1991, AM J SOCIOL, V96, P1478, DOI 10.1086/229694
   Gao Y, 2014, J GEOPHYS RES-ATMOS, V119, P5364, DOI 10.1002/2013JD021268
   Geis D.E., 2000, NAT HAZARDS REV, P151, DOI DOI 10.1061/(ASCE)1527-6988(2000)1:3(151)
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gong ZW, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101385
   Guan SD, 2018, INT J APPL EARTH OBS, V68, P279, DOI 10.1016/j.jag.2017.12.017
   Guo XS, 2015, NAT HAZARDS, V79, P1773, DOI 10.1007/s11069-015-1925-1
   Handcock Mark S, 2008, J Stat Softw, V24, P1548
   Harris JK., 2013, An Introduction to Exponential Random Graph Modeling, Volume 173 in Series: Quantitative Applications in the Social Sciences
   Heidarzadeh M, 2021, NAT HAZARDS, V106, P1639, DOI 10.1007/s11069-020-04448-0
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Hermansson H, 2019, ADMIN SOC, V51, P1051, DOI 10.1177/0095399716680058
   Hermansson HML, 2016, PUBLIC ADMIN, V94, P333, DOI 10.1111/padm.12203
   Holme P, 2002, PHYS REV E, V65, DOI 10.1103/PhysRevE.65.056109
   Htein MK, 2018, INT J DISAST RISK RE, V31, P964, DOI 10.1016/j.ijdrr.2018.08.003
   Huang SQ, 2021, LAND-BASEL, V10, DOI 10.3390/land10020210
   Hunter D. R., 2008, Journal of Statistical Software, V24, P1, DOI [10.18637/jss.v024.i03, DOI 10.18637/JSS.V024.I03]
   Hunter DR, 2008, J AM STAT ASSOC, V103, P248, DOI 10.1198/016214507000000446
   Hunter DR, 2013, J STAT SOFTW, V52
   Igarashi Y, 2015, J DISASTER RES, V10, P51, DOI 10.20965/jdr.2015.p0051
   Jovita HD, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.585
   Kachali H, 2018, INT J DISAST RISK RE, V30, P281, DOI 10.1016/j.ijdrr.2018.01.029
   Kapucu N, 2010, ADMIN SOC, V42, P222, DOI 10.1177/0095399710362517
   Khanduri AC, 2003, J WIND ENG IND AEROD, V91, P455, DOI 10.1016/S0167-6105(02)00408-7
   Kim JY, 2016, STRATEGIC MANAGE J, V37, P22, DOI 10.1002/smj.2454
   Kim JM, 2019, ENVIRON DEV SUSTAIN, V21, P2083, DOI 10.1007/s10668-018-0086-2
   Kitazawa K, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101926
   Koc E, 2020, ADV ENG INFORM, V46, DOI 10.1016/j.aei.2020.101159
   Laeni N, 2019, CITIES, V90, P157, DOI 10.1016/j.cities.2019.02.002
   Lai AYH, 2012, J COMP POLICY ANAL, V14, P217, DOI 10.1080/13876988.2012.687622
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Leelawat N, 2015, J DISASTER RES, V10, P1041, DOI 10.20965/jdr.2015.p1041
   Lei YD, 2015, ENVIRON SCI POLICY, V54, P281, DOI 10.1016/j.envsci.2015.07.016
   Li J, 2014, PHYSICA A, V401, P251, DOI 10.1016/j.physa.2014.01.052
   Liu D, 2009, NAT HAZARDS, V49, P421, DOI 10.1007/s11069-008-9262-2
   Liu W, 2018, NAT HAZARDS, V90, P757, DOI 10.1007/s11069-017-3073-2
   Luna EM, 2001, DISASTERS, V25, P216, DOI 10.1111/1467-7717.00173
   Lusher D., 2013, Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications
   Ma F, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101851
   Maghssudipour A, 2020, IND MARKET MANAG, V90, P667, DOI 10.1016/j.indmarman.2020.03.021
   Mandell M., 2007, PUBLIC PERFORMANCE M, V30, P574, DOI DOI 10.2753/PMR1530-9576300406
   Masser I., 2000, CITY DEV STRATEG, P49
   McGuire M, 2006, PUBLIC ADMIN REV, V66, P33, DOI 10.1111/j.1540-6210.2006.00664.x
   Miller MA, 2016, HABITAT INT, V52, P1, DOI 10.1016/j.habitatint.2015.08.028
   Mishkovski I, 2011, COMMUN NONLINEAR SCI, V16, P341, DOI 10.1016/j.cnsns.2010.03.018
   Montoya L, 2003, ENVIRON MODELL SOFTW, V18, P869, DOI 10.1016/S1364-8152(03)00105-1
   Ni X, 2015, J GEOPHYS RES-ATMOS, V120, P12378, DOI 10.1002/2015JD024031
   Niu YL, 2020, WATER-SUI, V12, DOI 10.3390/w12082198
   Okamoto K, 2008, LECT NOTES COMPUT SC, V5059, P186
   Oktari RS, 2018, INT J DISAST RISK RE, V29, P3, DOI 10.1016/j.ijdrr.2017.07.009
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Pescaroli G., 2015, PLANET RISK GLOB FOR, V3, P58
   Pescaroli G, 2018, INT J DISAST RISK RE, V30, P159, DOI 10.1016/j.ijdrr.2018.07.004
   Pitidis V, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102934
   Qie ZJ, 2017, NAT HAZARDS, V88, P165, DOI 10.1007/s11069-017-2861-z
   Ren R, 2019, GEOMAT NAT HAZ RISK, V10, P562, DOI 10.1080/19475705.2018.1535452
   Ritvala T, 2014, INT BUS REV, V23, P942, DOI 10.1016/j.ibusrev.2014.02.006
   Robins G, 2007, SOC NETWORKS, V29, P192, DOI 10.1016/j.socnet.2006.08.003
   Robins G, 2007, SOC NETWORKS, V29, P173, DOI 10.1016/j.socnet.2006.08.002
   Sapat A, 2019, AM REV PUBLIC ADM, V49, P957, DOI 10.1177/0275074019861347
   Schultz L, 2011, WORLD DEV, V39, P662, DOI 10.1016/j.worlddev.2010.09.014
   Serino MNV, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101939
   Sharifnia SG, 2022, COMMUN STAT-THEOR M, V51, P2259, DOI 10.1080/03610926.2020.1772981
   Shaw R, 2014, DISAST RISK REDUCT, P1, DOI 10.1007/978-4-431-54246-9
   Shi PJ, 2010, INT J DISAST RISK SC, V1, P1, DOI 10.3974/j.issn.2095-0055.2010.02.001
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Simo G, 2007, PUBLIC ADMIN REV, V67, P125, DOI 10.1111/j.1540-6210.2007.00821.x
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   Snijders TAB, 2006, SOCIOL METHODOL, V36, P99, DOI 10.1111/j.1467-9531.2006.00176.x
   Sun D, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17030682
   Takagi H, 2016, NAT HAZARDS, V80, P211, DOI 10.1007/s11069-015-1965-6
   Takemi T, 2019, SOLA, V15, P22, DOI 10.2151/sola.2019-005
   Tang P, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102390
   Tang P, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101065
   Tuan TH, 2015, URBAN CLIM, V12, P85, DOI 10.1016/j.uclim.2015.01.002
   Wang JX, 2013, NAT HAZARDS, V68, P509, DOI 10.1007/s11069-013-0631-0
   Wang SH, 2012, LANDSCAPE URBAN PLAN, V106, P303, DOI 10.1016/j.landurbplan.2012.04.002
   Wasserman S, 1996, PSYCHOMETRIKA, V61, P401, DOI 10.1007/BF02294547
   Wasserman S, 1994, STRUCTURAL ANAL SOCI, V8, DOI DOI 10.1017/CBO9780511815478
   Waugh WL, 2006, PUBLIC ADMIN REV, V66, P131, DOI 10.1111/j.1540-6210.2006.00673.x
   Weichselgartner J., 2001, DISASTER PREV MANAG, V10, P85, DOI [10.1108/09653560110388609, DOI 10.1108/09653560110388609]
   Wu ML, 2021, J HOSP TOUR MANAG, V48, P32, DOI 10.1016/j.jhtm.2021.05.006
   Wu ZN, 2020, J HYDROL, V583, DOI 10.1016/j.jhydrol.2020.124596
   Wu ZN, 2019, GEOMAT NAT HAZ RISK, V10, P2163, DOI 10.1080/19475705.2019.1685010
   Xu XH, 2015, NAT HAZARDS, V77, P1491, DOI 10.1007/s11069-015-1662-5
   Yan EJ, 2012, J AM SOC INF SCI TEC, V63, P1313, DOI 10.1002/asi.22680
   Yang JM, 2010, PHYSICA A, V389, P859, DOI 10.1016/j.physa.2009.10.034
   Yang J, 2019, J GEOPHYS RES-OCEANS, V124, P9590, DOI 10.1029/2019JC015249
   Yang Z., 2011, 19 INT C GEOINF IEEE, P1
   Yin J, 2013, NAT HAZARDS, V69, P1423, DOI 10.1007/s11069-013-0755-2
   Yin ZE, 2011, J GEOGR SCI, V21, P274, DOI 10.1007/s11442-011-0844-7
   Zelenkauskaite A., 2012, 2012 4th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2012), P503, DOI 10.1109/iNCoS.2012.25
   Zhang Q, 2011, NAT HAZARDS, V57, P267, DOI 10.1007/s11069-010-9611-9
   Zhang Y, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL027229
   Zhang Y, 2017, GEOMAT NAT HAZ RISK, V8, P1580, DOI 10.1080/19475705.2017.1362040
   Zheng L, 2017, IEEE INT CONF ELECTR, P25, DOI 10.1109/ICEIEC.2017.8076504
   Zheng YM, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141709
   Zhou HJ, 2015, J MT SCI-ENGL, V12, P1169, DOI 10.1007/s11629-015-3453-6
   Zhou L, 2017, GEOMAT NAT HAZ RISK, V8, P1886, DOI 10.1080/19475705.2017.1392368
   Zuccaro G, 2018, INT J DISAST RISK RE, V30, P199, DOI 10.1016/j.ijdrr.2018.04.019
NR 132
TC 14
Z9 16
U1 34
U2 188
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD MAR
PY 2022
VL 42
AR 101140
DI 10.1016/j.uclim.2022.101140
EA FEB 2022
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 0J2KG
UT WOS:000779934400004
DA 2025-04-22
ER

PT J
AU Fadelelseed, S
   Xu, DW
   Li, LY
   Tran, D
   Chen, X
   Alwah, A
   Bai, H
   Farah, Z
AF Fadelelseed, Safa
   Xu, Dawei
   Li, Lianying
   Tran, Ducthien
   Chen, Xi
   Alwah, Abdulfattah
   Bai, He
   Farah, Zoheir
TI Regenerating and Developing a National Botanical Garden (NBG) in
   Khartoum, Sudan: Effect on Urban Landscape and Environmental
   Sustainability
SO SUSTAINABILITY
LA English
DT Article
DE botanical gardens; national botanical garden (NBG); Khartoum; Sudan;
   regeneration design; technologies system; urban landscape; ecological
   and environmental sustainability
ID WATER; CONSERVATION; COMMUNITIES
AB This research focuses on the National Botanic Garden in Khartoum, Sudan, proposing tools and methods to assess botanical garden quality from multiple perspectives. It explores the related concepts between national botanical gardens and landscapes, regeneration landscapes and their components such as botanical gardens, their effects on urban regeneration in cities, urban environments, and environmental sustainability. This study aims to: regenerate and develop a National Botanical Garden in the Almogran area of Khartoum, Sudan, and highlight the importance of establishing a national botanical garden for each climatic region in Sudan. The study used questionnaires to identify the necessary needs for regeneration, and the opinions of employees of the Ministry of Agriculture and Forestry were surveyed about the purposes of: (1) evaluating the garden's total area and interior design; (2) building regeneration; (3) establishing constructions, such as a library, seed gene bank, tissue culture laboratory, etc.; (4) emphasizing the need for modern technology to enhance quality. The study summarizes five regeneration technology methods: environmental plant restoration, water body restoration, building and facility restoration, reconstruction technology, and resource utilization; (5) botanical gardens were proposed for each climatic region in Sudan, and we studied the effects of establishing a botanical garden for each climate region in Sudan on environmental resilience, the effect of the botanical gardens' regeneration on gardens within the cities, and effect of a national botanical garden on the urban landscape and environmental sustainability. These findings suggest that the comprehensive regeneration of the National Botanical Garden, integrating it with the urban regeneration of cities, especially urban greening regeneration, is important for enhancing urban landscapes, enhancing environmental resilience, environmental sustainability, climate change, and achieving land development goals, thus helping to address actual requirements and develop sustainable cities.
C1 [Fadelelseed, Safa; Xu, Dawei; Li, Lianying; Tran, Ducthien; Chen, Xi; Alwah, Abdulfattah; Bai, He] Northeast Forestry Univ, Landscape Architecture Coll, Harbin 150040, Peoples R China.
   [Farah, Zoheir] Univ Gezira, Fac Agr Sci, Wad Madani 21111, Sudan.
C3 Northeast Forestry University - China
RP Xu, DW (corresponding author), Northeast Forestry Univ, Landscape Architecture Coll, Harbin 150040, Peoples R China.
EM safa-fadelelseed@nefu.edu.cn; xudw@nefu.edu.cn; lilianying@hrbu.edu.cn;
   vnuf@vnuf.edu.vn; chenxi1990@zafu.edu.cn; fattah_alwah@ibbuniv.edu.ye;
   bh@nefu.edu.cn; farahzoheir@gmail.com
RI Alwah, Abdulfattah Ahmed Qasem/JHS-8223-2023
OI Tran, Ducthien/0000-0002-9873-7750; Alwah, Abdufattah Ahmed
   Qasem/0000-0003-1962-1985
FU Northeast Forestry University;  [GZ20210193]
FX This research was funded by the Northeast Forestry University, contract
   number GZ20210193, and "The APC was funded by Research on cooling
   sensitivity of urban green landscape structure and optimization
   technology of landscape well-being".
CR Awad Z. E., 2019, J. Eng, V7, P90, DOI [10.15640/jea.v7n1a10, DOI 10.15640/JEA.V7N1A10]
   Bahreldin I., 2020, Civ. Eng. Archit, V8, P113, DOI [10.13189/cea.2020.080209, DOI 10.13189/CEA.2020.080209]
   Bannaga A., 2013, Appl Financ Econ, V23, P1239
   Bashir AMH, 2023, AFR J AQUAT SCI, V48, P28, DOI 10.2989/16085914.2022.2123304
   Blackmore S., 2017, TROP PLANT COLLECTIO, V6, P285
   Boscarino S., 1994, Ipotesi di Restauro Urbano e Studi di Analisi Multicriteriale, Medina, Palermo
   Boussaa D, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010048
   Brilhante O, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10062031
   CALLERY BG, 1995, BRITTONIA, V47, P44, DOI 10.2307/2807247
   Cameron S, 2003, URBAN STUD, V40, P2367, DOI 10.1080/0042098032000136110
   Chen Jin, 2022, Biodiversity Science, V30, P22016, DOI 10.17520/biods.2022016
   Connell J., 2004, Current Issues in Tourism, V7, P183, DOI 10.1080/13683500408667979
   Crilley G, 2010, ANN LEIS RES, V13, P476, DOI 10.1080/11745398.2010.9686859
   Crutzen P. J., 2016, PAUL J CRUTZEN PIONE, DOI [10.1007/978-3-319-27460-7, DOI 10.1007/978-3-319-27460-7]
   Cunningham SD, 1995, SSSA SPEC PUBL, P145
   De Wit M.P., 2006, Rep. Prep. South Afr. Natl. Biodivers. Inst. Proj. Dev. SANBI Bus. Case
   della Repubblica I.P., 2017, Bilancio di Previsione dello Stato per Lanno Finanziario 2018 e Bilancio Pluriennale per il Triennio 20182020
   Diamant E, 2010, BRIT J OCCUP THER, V73, P84, DOI 10.4276/030802210X12658062793924
   Dramstad WencheE., 1996, LANDSCAPE ECOLOGY PR
   Econmico C., 2014, Experiencias Prcticas de Dilogo Social
   Eltom I.M., 2017, Int. J. Planing Urban Sustinable Dev, V4, P41
   Europea C.E., 1985, Soil Map of the European Communities 1:1.000.000; Directorate-General for Agriculture, Coordination of Agricultural Research
   Fang QL, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15108223
   Fescemyer K, 2010, J AGRIC FOOD INF, V11, P73, DOI 10.1080/10496501003689566
   Garbisu C, 2001, BIORESOURCE TECHNOL, V77, P229, DOI 10.1016/S0960-8524(00)00108-5
   Giannelli A., 2020, VALORI E VALUTAZIONI, V27, P53, DOI [10.48264/VVSIEV-20202706, DOI 10.48264/VVSIEV-20202706]
   Giuffrida S, 2018, LAND-BASEL, V7, DOI 10.3390/land7040120
   Giuffrida S, 2017, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-3-319-49676-4_1
   Goral K., 2014, Sibbaldia Int. J. Bot. Gard. Hortic, V12, P25, DOI [10.24823/Sibbaldia.2014.21, DOI 10.24823/SIBBALDIA.2014.21]
   GR - T ELLES., 1992, Correio da Natureza, VN˚17, P52
   Hamid M., Rethinking the Open Spaces of Khartoum's Residential Fabric
   Hatherley O., 2012, NEW KIND BLEAK JOURN
   Hemphill L, 2004, URBAN STUD, V41, P725, DOI 10.1080/0042098042000194089
   Hepcan C. C., 2005, Ege Universitesi Ziraat Fakultesi Dergisi, V42, P159
   Heywood VH, 2017, PLANT DIVERSITY, V39, P314, DOI 10.1016/j.pld.2017.10.004
   Houck K., 2024, Public Serv. Q, V20, P138, DOI [10.1080/15228959.2024.2331119, DOI 10.1080/15228959.2024.2331119]
   Ille E., 2020, Recent Urbanisation Trends in Khartoum State
   Italiano G., 2021, GU Serie Generale, V108
   Jackson P.W., 2000, INT AGENDA BOT GARDE
   Kiker GA, 2005, INTEGR ENVIRON ASSES, V1, P95, DOI 10.1897/IEAM_2004a-015.1
   Kumar S, 2022, CURR RES MICROB SCI, V3, DOI 10.1016/j.crmicr.2021.100094
   Kuzevanov V., 2006, Hiroshima Peace Sci, V28, P113
   Li DZ, 2009, TRENDS PLANT SCI, V14, P614, DOI 10.1016/j.tplants.2009.09.005
   Li Z., 2021, Journal of Physics: Conference Series, P012225, DOI [10.1088/1742-6596/2069/1/012225, DOI 10.1088/1742-6596/2069/1/012225]
   [林坚 Lin Jian], 2019, [城市规划, City Planning Review], V43, P9
   Mambelli T., 2001, Sci. Reg
   Martín-López B, 2014, ECOL INDIC, V37, P220, DOI 10.1016/j.ecolind.2013.03.003
   Martinez-Alier J., 2003, ENV POOR STUDY ECOLO
   McDonald S, 2009, TECHNOL ECON DEV ECO, V15, P49, DOI 10.3846/1392-8619.2009.15.49-59
   Napoli G., 2020, NEW METROPOLITAN PER, V178, P1248, DOI [10.1007/978-3-030-48279-4_116, DOI 10.1007/978-3-030-48279-4_116]
   Naselli F, 2014, LECT NOTES COMPUT SC, V8581, P26, DOI 10.1007/978-3-319-09150-1_3
   Niemczynowicz J., 1999, Urban Water, V1, P1, DOI 10.1016/S1462-0758(99)00009-6
   Nocera F, 2019, ENTROPY-SWITZ, V21, DOI 10.3390/e21070639
   O'Donnell K, 2017, PLANT DIVERSITY, V39, P373, DOI 10.1016/j.pld.2017.11.005
   Oldfield Sara., 2007, GREAT BOTANIC GARDEN
   Oldfield SF, 2009, TRENDS PLANT SCI, V14, P581, DOI 10.1016/j.tplants.2009.08.013
   Paleari S, 2022, J ENVIRON DEV, V31, P196, DOI 10.1177/10704965221082222
   Pedroli B, 2006, LANDSCAPE ECOL, V21, P421, DOI 10.1007/s10980-005-5204-5
   PHILLIPS JD, 1995, GEOMORPHOLOGY, V13, P337, DOI 10.1016/0169-555X(95)00023-X
   Pickett STA, 2011, J ENVIRON MANAGE, V92, P331, DOI 10.1016/j.jenvman.2010.08.022
   Primack RB, 2009, NEW PHYTOL, V182, P303, DOI 10.1111/j.1469-8137.2009.02800.x
   Refaat M.H., 2015, Int. J. Dev. Sustain, V4, P29
   Remesar A, 2020, WATERFRONT, V62, P3, DOI 10.1344/waterfront2020.62.6.1
   Russo T, 2014, WATER-SUI, V6, P3934, DOI 10.3390/w6123934
   Sandell R., 2007, Museums, Prejudice and the Reframing of Difference, DOI DOI 10.4324/9780203020036
   Sanders DL, 2007, INT J SCI EDUC, V29, P1209, DOI 10.1080/09500690600951549
   Sanders DL, 2018, ENVIRON EDUC RES, V24, P1077, DOI 10.1080/13504622.2018.1477122
   Schoennagel T, 2011, FRONT ECOL ENVIRON, V9, P271, DOI 10.1890/090199
   Shih M, 2010, INT J URBAN REGIONAL, V34, P350, DOI 10.1111/j.1468-2427.2010.00895.x
   Siddig K, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106566
   Smith P, 2011, SEED SCI RES, V21, P1, DOI 10.1017/S0960258510000309
   Streiffeler F., 2008, Working Paper
   Swensen G, 2022, INT J HERIT STUD, V28, P511, DOI 10.1080/13527258.2021.2020879
   Szilágyi K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094699
   Thomas M.F., 1998, Human Activities and the Tropical Rainforest: Past, Present and Possible Future, P17, DOI [10.1007/978-94-017-1800-42, DOI 10.1007/978-94-017-1800-42]
   Trovato MR, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8040141
   Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494
   Ward CD, 2010, URBAN FOR URBAN GREE, V9, P49, DOI 10.1016/j.ufug.2009.11.001
   Wascher DM, 1999, ENVIRONMENTAL INDICATORS AND AGRICULTURAL POLICY, P73, DOI 10.1079/9780851992891.0073
   Waylen K., 2006, Medicinal Plant Conservation, V12, P4
   Wei F, 2020, LANDSC ARCHIT FRONT, V8, P30, DOI 10.15302/J-LAF-0-020007
   Wilkinson R., 2003, Social determinants of health: the solid facts
   Willis C., 2006, BG journal, V3, P11
   Xu Z., 2014, City, V4, P4
   Yang DW, 2021, GEOGR SUSTAIN, V2, P115, DOI 10.1016/j.geosus.2021.05.003
   Zedler JB, 2003, MANAGING FOR HEALTHY ECOSYSTEMS, P167
   Zhang J., 2012, Hum. Geogr, V27, P1
   [赵万民 Zhao Wanmin], 2021, [城市规划学刊, Urban Planning Forum], P92
NR 88
TC 0
Z9 0
U1 20
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2024
VL 16
IS 17
AR 7863
DI 10.3390/su16177863
PG 29
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA F7E6L
UT WOS:001311411700001
OA gold
DA 2025-04-22
ER

PT J
AU Hutton, NS
AF Hutton, Nicole S.
TI Sustaining Resilience: Modeling Nonprofit Collaboration in Recovery
SO PROFESSIONAL GEOGRAPHER
LA English
DT Article
DE nonprofit; partnerships; recovery; resilience; sustainable
ID DISASTER RESILIENCE; 22 FEBRUARY; ORGANIZATIONS; CHRISTCHURCH;
   PARTNERSHIPS; GOVERNANCE; IMPACTS
AB In New Zealand, where nonprofit and government partnerships have been formally developing since the 1990s, pathways for nonprofits to improve outcomes for affected communities were open when a magnitude 7.1 earthquake occurred in rural Canterbury on 4 September 2010. As more than 13,000 aftershocks followed, including a 6.3 magnitude event on 22 February 2011 that caused fatalities and widespread structural damage in the city of Christchurch, significant action was organized in the nonprofit sector to revitalize the city. New nonprofit initiatives emerged in the central business district to address social concerns and foster engagement across the sector. This case study, undertaken three to four years after the most severe earthquakes, compared experiences from thirty-six local nonprofit organizations regarding collaboration within the nonprofit sector. Results showed that integrating nonprofit commitments to and perceptions of demands for social services into representative collective efforts supported sustainable organizational resilience into midterm recovery. Overamalgamation and prolonged restructuring, however, limited some collective efforts. Longitudinal analysis enabled development of a scalable connective structure for sustaining network resilience into long-term recovery, including collective action and collaborative issue assessment groups. Proactive implementation of similar partnerships might facilitate sustainable resilience in other urban multihazard settings.
C1 [Hutton, Nicole S.] Old Dominion Univ, Dept Polit Sci & Geog, Norfolk, VA 23529 USA.
C3 Old Dominion University
RP Hutton, NS (corresponding author), Old Dominion Univ, Dept Polit Sci & Geog, Norfolk, VA 23529 USA.
EM nhuttons@odu.edu
CR Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Beatley Timothy., 2009, Planning for Coastal Resilience: Best Practices for Calamitous Times
   Bourk M, 2014, AUST J EMERG MANAG, V29, P35
   Brady K., 2012, AUSTR NZ DIS EM MAN
   Bright CF, 2017, ETHNIC DIS, V27, P337, DOI [10.18865/ed.27.S1.337, 10.18865/ed.27.s1.337]
   Brookie R., 2012, GOVERNING RECOVERY C
   Brown C, 2015, INT J DISAST RISK RE, V14, P56, DOI 10.1016/j.ijdrr.2014.11.009
   Came H, 2014, SOC SCI MED, V106, P214, DOI 10.1016/j.socscimed.2014.01.055
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chang-Richards A., 2013, I REC C ASC SWITZ MA
   Dattani P., 2012, MANAGEMENT FINANCE N, P131
   Doerfel ML, 2010, HUM COMMUN RES, V36, P125, DOI 10.1111/j.1468-2958.2010.01371.x
   Fogarty ST, 2014, THESIS
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Hudson M., 2009, Managing without profit: Leadership, management and governance of third sector organizations
   Hutton N., 2015, PAPERS APPL GEOGRAPH, V1, P365
   Hutton N., 2015, 3 SECTOR REV, V21, P7
   Hutton NS, 2016, PROF GEOGR, V68, P603, DOI 10.1080/00330124.2015.1135402
   Johnson LA, 2014, EARTHQ SPECTRA, V30, P577, DOI 10.1193/032513EQS078M
   Kimberlin SE, 2011, J EVID-INFORM SOC WO, V8, P4, DOI 10.1080/15433710903272820
   Larner W, 2005, ANTIPODE, V37, P402, DOI 10.1111/j.0066-4812.2005.00504.x
   McLean I., 2012, Review of the Civil Defence Emergency Management Response to the 22 February Christchurch Earthquake
   Mojtahedi SMH, 2014, DISASTER PREV MANAG, V23, P356, DOI 10.1108/DPM-11-2013-0209
   Montz BE., 2017, NATURAL HAZARDS EXPL
   Nicholls D., 2013, PERSONAL RESILIENCE
   Parkin B., 2012, AUSTR NZ DIS EM MAN
   Paton D., 2017, Disaster resilience: an integrated approach
   Paton D, 2015, INT J DISAST RISK RE, V14, P37, DOI 10.1016/j.ijdrr.2014.11.011
   Patterson O, 2010, POPUL RES POLICY REV, V29, P127, DOI 10.1007/s11113-009-9133-x
   Paul BK, 2011, ENVIRONMENTAL HAZARDS AND DISASTERS: CONTEXTS, PERSPECTIVES AND MANAGEMENT, P1, DOI 10.1002/9781119979616
   Pestoff V., 2013, NEW PUBLIC GOVERNANC, P1
   Pettinga J., 2001, Bulletin of the New Zealand Society for Earthquake Engineering, V34, P282
   Phillips SD, 2011, ROUTL STUD MAN VOLUN, P1
   Pierpiekarz M. R., 2014, 10 US NAT C EARTHQ E
   Platt S., 2012, REBUILD FIELD TRIP F
   Podsakoff PM, 2012, ANNU REV PSYCHOL, V63, P539, DOI 10.1146/annurev-psych-120710-100452
   Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9010.88.5.879
   Robinson SE, 2013, RISK HAZARDS CRISIS, V4, P128, DOI 10.1002/rhc3.12038
   Sadler GR, 2010, NURS HEALTH SCI, V12, P369, DOI 10.1111/j.1442-2018.2010.00541.x
   Seville E., 2006, Building organisational resilience: A summary of key research findings
   Simo G, 2007, PUBLIC ADMIN REV, V67, P125, DOI 10.1111/j.1540-6210.2007.00821.x
   Smith G.P., 2007, HDB DISASTER RES, P234
   Stevenson JR, 2011, BULL N Z SOC EARTHQ, V44, P65, DOI 10.5459/bnzsee.44.2.65-76
   Stirling M, 2012, B SEISMOL SOC AM, V102, P1514, DOI 10.1785/0120110170
   Vallance S., 2011, Lincoln Planning Review, V3, P4
   Vallance S, 2015, INT J DISAST RISK RE, V14, P27, DOI 10.1016/j.ijdrr.2014.10.010
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Whenua Tangata, 2007, COD PRACT TANG UNPUB
   Wisner B., 2004, AT RISK, V2nd
   Zimmer A, 2010, THIRD SECTOR RESEARCH, P201, DOI 10.1007/978-1-4419-5707-8_15
NR 50
TC 12
Z9 14
U1 1
U2 29
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0033-0124
EI 1467-9272
J9 PROF GEOGR
JI Prof. Geogr.
PY 2018
VL 70
IS 4
BP 655
EP 665
DI 10.1080/00330124.2018.1443479
PG 11
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA HC8MI
UT WOS:000452056800011
DA 2025-04-22
ER

PT J
AU Capello, R
   Caragliu, A
   Fratesi, U
AF Capello, Roberta
   Caragliuy, Andrea
   Fratesi, Ugo
TI Spatial heterogeneity in the costs of the economic crisis in Europe: are
   cities sources of regional resilience?
SO JOURNAL OF ECONOMIC GEOGRAPHY
LA English
DT Article
DE Financial crisis; agglomeration economies; territorial capital;
   forecasting; scenario simulation
ID RATIONALE; GROWTH
AB This article measures the spatial heterogeneity of the costs of the economic crisis and assesses the role of cities as sources of regional resilience in Europe. Cities hosting financial activities have been severely hit during the crisis; however, they also host hard and soft territorial capital elements-high physical accessibility, access to information and knowledge, advanced functions, agglomeration economies-generating inter-sectoral productivity growth and the ability to adjust to the crisis. A scenario approach is used to capture the long term costs of the crisis, applying a new version of a macroeconometric regional growth forecasting model (MASST), recently updated to take account of the crisis. Results show that cities play a role in the resilience of regions; the quality of production factors hosted, the density of external linkages and cooperation networks and the quality of urban infrastructure give greater economic resilience to cities, and to the regions hosting them.
C1 [Capello, Roberta; Caragliuy, Andrea; Fratesi, Ugo] Politecn Milan, ABC Dept, I-20133 Milan, Italy.
C3 Polytechnic University of Milan
RP Caragliu, A (corresponding author), Politecn Milan, ABC Dept, Piazza Leonardo da Vinci 32, I-20133 Milan, Italy.
EM andrea.caragliu@polimi.it
RI Fratesi, Ugo/IAM-5881-2023; Caragliu, Andrea/AAI-2320-2020
OI FRATESI, UGO/0000-0002-0755-460X; Capello, Roberta/0000-0003-0438-6900
CR [Anonymous], OECD REG OUTL BUILD
   [Anonymous], EC FORECASTING UNPUB
   [Anonymous], 2008, Working paper
   [Anonymous], 2012, ECONOMIST
   [Anonymous], 2001, OECD TERR OUTL
   [Anonymous], 2009, World Development Report
   [Anonymous], 2009, Report by the OECD Working Party on SMEs and Entrepreneurship, P1
   Archibugi D, 2011, JCMS-J COMMON MARK S, V49, P1153, DOI 10.1111/j.1468-5965.2011.02191.x
   Armstrong S.J., 1985, Long-Range Forecasting: From Crystal Ball to Computer
   Bachtler J., 2001, 46 U STRATHCL
   Barca F., 2009, An Agenda for a Reformed Cohesion Policy: A Place-Based Approach to Meeting European Union Challenges and Expectations
   Belloc M, 2013, PAP REG SCI, V92, P481, DOI 10.1111/j.1435-5957.2012.00427.x
   Camagni R, 2015, REG SCI POLICY PRACT, V7, P25, DOI 10.1111/rsp3.12047
   Camagni R, 2015, EUR PLAN STUD, V23, P1069, DOI 10.1080/09654313.2014.904999
   Camagni R, 2013, ANN REGIONAL SCI, V51, P309, DOI 10.1007/s00168-012-0548-7
   Capello R, 2008, ADV SPAT SCI, P1, DOI 10.1007/978-3-540-74737-6
   Capello R., 2014, ENV PLANN C IN PRESS
   Capello R., 2013, INQUIRY KNOWLEDGE EC
   Capello R, 2007, ANN REGIONAL SCI, V41, P753, DOI 10.1007/s00168-007-0146-2
   Capello R, 2017, INT REGIONAL SCI REV, V40, P38, DOI 10.1177/0160017614543850
   Capello R, 2012, SPAT ECON ANAL, V7, P293, DOI 10.1080/17421772.2012.694143
   Capello R, 2011, ADV SPAT SCI, P1, DOI 10.1007/978-3-642-19251-7
   Capello R, 2009, ENVIRON PLANN A, V41, P481, DOI 10.1068/a4086
   Cheshire P., 2014, URBAN EC URBAN POLIC
   Coffano M., 2014, Scienze Regionali, V13, P33
   Commission of the European Communities (CEC), 2004, SYNTHESIS REPORT
   Cuadrado-Roura JR., 2014, 54 ERSA C ST PET 26
   Curtis S., 2013, PLAN REVITALIZE AM M
   Diodato D, 2015, J ECON GEOGR, V15, P723, DOI 10.1093/jeg/lbu030
   Greenstone M, 2011, ISSUES SCI TECHNOL, V27, P59
   Groot SPT, 2011, CAMB J REG ECON SOC, V4, P437, DOI 10.1093/cjres/rsr024
   Hadjimichalis C, 2011, EUR URBAN REG STUD, V18, P254, DOI 10.1177/0969776411404873
   Hendry D., 2001, 82 ECB WP
   Loomis DG, 2000, J ECON EDUC, V31, P349, DOI 10.2307/1183148
   McCann P., 2014, Italian Journal of Regional Science, P15
   Miles I., 2000, FOREN ISSUE PAPER NA
   Nordregio, 2004, ESPON 1 1 1 POT POL
   Petrakos G., 2014, 54 ERSA C ST PET 26
   Raagmaa G., 2014, 54 ERSA C ST PET 26
   Rodriguez-Pose A., 2012, SCI REGIONALI, V11, P121
   Sapir A., 2003, THE SAPIR REPORT
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Skroupa C, 2012, FORBES
   Tan LL, 2014, PAP REG SCI, V93, DOI 10.1111/pirs.12046
   UNIDO, 2004, FOR METH
NR 45
TC 191
Z9 201
U1 12
U2 143
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1468-2702
EI 1468-2710
J9 J ECON GEOGR
JI J. Econ. Geogr.
PD SEP
PY 2015
VL 15
IS 5
SI SI
BP 951
EP 972
DI 10.1093/jeg/lbu053
PG 22
WC Economics; Geography
WE Social Science Citation Index (SSCI)
SC Business & Economics; Geography
GA CR4HQ
UT WOS:000361293200006
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Pescaroli, G
   Guida, K
   Reynolds, J
   Pulwarty, RS
   Linkov, I
   Alexander, DE
AF Pescaroli, Gianluca
   Guida, Kristen
   Reynolds, Jeremy
   Pulwarty, Roger S.
   Linkov, Igor
   Alexander, David E.
TI Managing systemic risk in emergency management, organizational
   resilience and climate change adaptation
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article
DE Systemic risk; Emergency management; Organisational resilience; Climate
   change adaptation; Capacity to adapt; Risk management priorities
ID VULNERABILITY
AB Purpose This paper applies the theory of cascading, interconnected and compound risk to the practice of preparing for, managing, and responding to threats and hazards. Our goal is to propose a consistent approach for managing major risk in urban systems by bringing together emergency management, organisational resilience, and climate change adaptation. Design/methodology/approach We develop a theory-building process using an example from the work of the Greater London Authority in the United Kingdom. First, we explore how emergency management approaches systemic risk, including examples from of exercises, contingency plans and responses to complex incidents. Secondly, we analyse how systemic risk is integrated into strategies and practices of climate change adaptation. Thirdly, we consider organisational resilience as a cross cutting element between the approaches. Findings London has long been a champion of resilience strategies for dealing with systemic risk. However, this paper highlights a potential for integrating better the understanding of common points of failure in society and organisations, especially where they relate to interconnected domains and where they are driven by climate change. Originality/value The paper suggests shifting toward the concept of operational continuity to address systemic risk and gaps between Emergency Management, Organizational Resilience and Climate Change Adaptation.
C1 [Pescaroli, Gianluca; Reynolds, Jeremy; Alexander, David E.] UCL, Inst Risk & Disaster Reduct, London, England.
   [Guida, Kristen] Greater London Author, London, England.
   [Reynolds, Jeremy] London Fire Brigade, London Resilience Grp, London, England.
   [Pulwarty, Roger S.] Natl Ocean & Atmospher Adm, Boulder, CO USA.
   [Linkov, Igor] US Army Engineer Res & Dev Ctr, Concord, MA USA.
   [Linkov, Igor] Univ Florida, Gainesville, FL USA.
C3 University of London; University College London; National Oceanic
   Atmospheric Admin (NOAA) - USA; United States Department of Defense;
   United States Army; U.S. Army Corps of Engineers; U.S. Army Engineer
   Research & Development Center (ERDC); ERDC - Risk Modeling; State
   University System of Florida; University of Florida
RP Pescaroli, G (corresponding author), UCL, Inst Risk & Disaster Reduct, London, England.
EM g.pescaroli@ucl.ac.uk
RI Linkov, Igor/AAH-5981-2019; Reynolds, Jeremy/ABC-7660-2022
OI Pescaroli, Gianluca/0000-0003-3468-2970
CR Ahrens J., 2006, J CONTING CRISIS MAN, V14, P207, DOI [DOI 10.1111/J.1468-5973.2006.00497, 10.1111/j.1468-5973.2006.00497.x, DOI 10.1111/J.1468-5973.2006.00497.X]
   Aldea-Borruel X., 2019, EARTH EX LONDON GALS
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Allen CR, 2011, J ENVIRON MANAGE, V92, P1339, DOI 10.1016/j.jenvman.2010.11.019
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   Arup and University College London, 2020, GREAT LOND AUTH IMPR
   Bank of England, 2018, PRUDENTIAL REGULATIO
   Booth L, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101616
   BSI (British Standards Institutions), 2014, 65002014 BSI BS
   Burnard KJ., 2019, Continuity Resilience Review, V1, P17
   Casajus Valles A., 2020, 30183 EUR EN, DOI [10.2760/438998, DOI 10.2760/438998]
   Centeno MA, 2015, ANNU REV SOCIOL, V41, P65, DOI 10.1146/annurev-soc-073014-112317
   Clark-Ginsberg A, 2020, J CONTING CRISIS MAN, V28, P482, DOI 10.1111/1468-5973.12304
   Cutter S, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P291
   Drachal Marcin, 2017, J Bus Contin Emer Plan, V11, P174
   Elliott D., 2010, BUSINESS CONTINUITY, VSecond
   Galbusera L., 2019, CRITICAL INFRASTRUCT, P135, DOI DOI 10.1007/978-3-030-00024-0_8
   Galbusera L, 2021, SAFETY SCI, V139, DOI 10.1016/j.ssci.2021.105161
   Greater London Authority, 2020, LOND RES STRAT
   Greater London Autority, 2021, INFR COORD SERV
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Hewitt K., 1983, INTERPRETATIONS CALA
   Hewitt K., 1995, INT J MASS EMERGENCI, V13, P317, DOI [DOI 10.1177/028072709501300307, https://doi.org/10.1177/028072709501300307, 10.1177/028072709501300307]
   Hogan M., 2013, ANYTOWN FINAL REPORT
   Hynes William, 2020, Environment Systems & Decisions, V40, P174, DOI 10.1007/s10669-020-09776-x
   Irgc, 2018, GUID GOV SYST RISKS, DOI [10.5075/epfl-irgc-257279, DOI 10.5075/EPFL-IRGC-257279]
   Klinke A., 2010, REGULATING CHEM RISK
   Letwin, 2020, APOCALYPSE HOW TECHN
   Linkov I., 2019, The Science and Practice of Resilience, DOI DOI 10.1007/978-3-030-04565-4
   Linkov I., 2019, RESILIENCE STRATEGIE
   Linkov I, 2022, NATURE, V603, P578, DOI [10.1038/d41586-022-00785-1, 10.1038/d41586-022-00784-2]
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   London Climate Change Partnership, 2020, LCCP VIS
   London Climate Change Partnership, 2020, COVID 19 HEATW MAN C
   London Resilience Group, 2018, LOND RES PARTN REP B
   London Resilience Group, 2016, EX UN RES BRIEF REF
   London Resilience Partnership, 2020, LOND RES PARTN START
   London Resilience Partnership, 2020, LOND RISK REG VR 9
   Luiijf E., 2013, TAG 61 JAHR VER DTSC, P293
   Maclean-Bristol C., 2011, DEFINITIVE HDB BUSIN, P314
   MacLeod G., 2018, City, V22, P460
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   Mayor of London, 2019, LOND RES STRAT PREL
   Perrow C., 1984, Normal Accidents: Living with High -Risk Technologies, P4
   Pescaroli G, 2018, SAFETY SCI, V110, P131, DOI 10.1016/j.ssci.2017.12.012
   Pescaroli G., 2017, 201701 UCL IRDR
   Pescaroli G., 2021, J FINANCIAL TRANSFOR, V53, P32
   Pescaroli G, 2018, INT J DISAST RISK RE, V30, P269, DOI 10.1016/j.ijdrr.2018.01.019
   Pescaroli G, 2018, RISK ANAL, V38, P2245, DOI 10.1111/risa.13128
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Pulwarty R., 2021, UNDRR GLOBAL ASSESSM, P120
   QUARANTELLI EL., 1997, Disaster prevention and management, V6, P94, DOI DOI 10.1108/09653569710164053
   Reeder T., 2011, YOU ADAPT UNCERTAIN
   Riddell GA, 2018, FUTURES, V99, P1, DOI 10.1016/j.futures.2018.03.006
   Schulman P.R., 2007, Journal of Contingencies et Crisis Management, V15, P42
   Smaga P., 2014, GEOLOGICAL SOC AM SP, V5
   Sornette D., 2009, International Journal of Terraspace Science and Engineering, V2, P1, DOI 10.2139/ssrn.1596032
   Swanson D, 2010, TECHNOL FORECAST SOC, V77, P924, DOI 10.1016/j.techfore.2010.04.005
   UNDRR, 2017, TERM CRIT INFR
   UNISDR, 2017, NAT DIS RISK ASS
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Zio E, 2016, RELIAB ENG SYST SAFE, V152, P137, DOI 10.1016/j.ress.2016.02.009
NR 62
TC 14
Z9 14
U1 11
U2 71
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 0965-3562
EI 1758-6100
J9 DISASTER PREV MANAG
JI Disaster Prev. Manag.
PD JUN 14
PY 2023
VL 32
IS 1
SI SI
BP 234
EP 251
DI 10.1108/DPM-08-2022-0179
EA SEP 2022
PG 18
WC Environmental Studies; Public, Environmental & Occupational Health;
   Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Business & Economics
GA J7IT0
UT WOS:000858377500001
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Zhang, WT
   Hu, B
   Liu, YZ
   Zhang, XN
   Li, ZX
AF Zhang, Wenting
   Hu, Bin
   Liu, Yongzhi
   Zhang, Xingnan
   Li, Zhixuan
TI Urban Flood Risk Assessment through the Integration of Natural and Human
   Resilience Based on Machine Learning Models
SO REMOTE SENSING
LA English
DT Article
DE flood risk assessment; ensemble learning model; urban flood; remote
   sensing data; machine learning
ID SPATIAL PREDICTION; SUSCEPTIBILITY; PRECIPITATION; REGRESSION; IMPACTS;
   NETWORK
AB Flood risk assessment and mapping are considered essential tools for the improvement of flood management. This research aims to construct a more comprehensive flood assessment framework by emphasizing factors related to human resilience and integrating them with meteorological and geographical factors. Moreover, two ensemble learning models, namely voting and stacking, which utilize heterogeneous learners, were employed in this study, and their prediction performance was compared with that of traditional machine learning models, including support vector machine, random forest, multilayer perceptron, and gradient boosting decision tree. The six models were trained and tested using a sample database constructed from historical flood events in Hefei, China. The results demonstrated the following findings: (1) the RF model exhibited the highest accuracy, while the SVR model underestimated the extent of extremely high-risk areas. The stacking model underestimated the extent of very-high-risk areas. It should be noted that the prediction results of ensemble learning methods may not be superior to those of the base models upon which they are built. (2) The predicted high-risk and very-high-risk areas within the study area are predominantly clustered in low-lying regions along the rivers, aligning with the distribution of hazardous areas observed in historical inundation events. (3) It is worth noting that the factor of distance to pumping stations has the second most significant driving influence after the DEM (Digital Elevation Model). This underscores the importance of considering human resilience factors. This study expands the empirical evidence for the ability of machine learning methods to be employed in flood risk assessment and deepens our understanding of the potential mechanisms of human resilience in influencing urban flood risk.
C1 [Zhang, Wenting; Hu, Bin; Zhang, Xingnan; Li, Zhixuan] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China.
   [Zhang, Wenting] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing 210098, Peoples R China.
   [Liu, Yongzhi] Nanjing Hydraul Res Inst, Hydrol & Water Resources Dept, Nanjing 210029, Peoples R China.
   [Liu, Yongzhi] NHRI, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing 210029, Peoples R China.
C3 Hohai University; Hohai University; Nanjing Hydraulic Research
   Institute; Nanjing Hydraulic Research Institute
RP Zhang, WT (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China.; Zhang, WT (corresponding author), Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing 210098, Peoples R China.
EM zwt@hhu.edu.cn
RI liu, yz/C-8417-2013
OI zhang, wenting/0000-0003-2236-7148
FU We would like to thank the assistant editors, academic editors and
   reviewers for their efforts to improve the quality of this paper. The
   authors would like to thank all the experts who contribute to urban
   flood protection and control.
FX We would like to thank the assistant editors, academic editors and
   reviewers for their efforts to improve the quality of this paper. The
   authors would like to thank all the experts who contribute to urban
   flood protection and control.
CR Ali SA, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106620
   Arnold CL, 1996, J AM PLANN ASSOC, V62, P243, DOI 10.1080/01944369608975688
   Barredo JI, 2007, NAT HAZARDS, V42, P125, DOI 10.1007/s11069-006-9065-2
   Pham BT, 2021, J HYDROL, V592, DOI 10.1016/j.jhydrol.2020.125815
   Chan SW, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09075
   Chen H., 2020, WATER RESOUR RES, V9, P597, DOI [10.12677/JWRR.2020.96065, DOI 10.12677/JWRR.2020.96065]
   Chen JL, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112810
   Choubin B, 2019, SCI TOTAL ENVIRON, V651, P2087, DOI 10.1016/j.scitotenv.2018.10.064
   Chubey M. S., 2004, GeoJournal, V59, P237, DOI 10.1023/B:GEJO.0000026693.87089.83
   CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1023/A:1022627411411
   DALY C, 1994, J APPL METEOROL, V33, P140, DOI 10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
   Bui DT, 2020, SCI TOTAL ENVIRON, V701, DOI 10.1016/j.scitotenv.2019.134413
   Ding XC, 2022, J WATER CLIM CHANGE, V13, P3692, DOI 10.2166/wcc.2022.224
   [丁志雄 Ding Zhixiong], 2004, [水利学报, Journal of Hydraulic Engineering], V0, P56
   Firoozishahmirzadi P., 2021, Int J Data Envel Anal, V9, P43
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Gao HK, 2018, HYDROL RES, V49, P90, DOI 10.2166/nh.2017.245
   Gumbo B, 2002, PHYS CHEM EARTH, V27, P755, DOI 10.1016/S1474-7065(02)00063-3
   [黄国如 Huang Guoru], 2020, [水资源保护, Water Resources Protection], V36, P1
   Karunasingha DSK, 2022, INFORM SCIENCES, V585, P609, DOI 10.1016/j.ins.2021.11.036
   Khorn N, 2022, ENVIRON EARTH SCI, V81, DOI 10.1007/s12665-022-10583-7
   Kourtis IM, 2022, WATER SUPPLY, V22, P4951, DOI 10.2166/ws.2022.152
   Lai CG, 2016, J HYDROL, V542, P268, DOI 10.1016/j.jhydrol.2016.09.003
   [赖成光 Lai Chengguang], 2015, [水利学报, Journal of Hydraulic Engineering], V46, P58
   Lee S, 2017, GEOMAT NAT HAZ RISK, V8, P1185, DOI 10.1080/19475705.2017.1308971
   Li CL, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010765
   [李加林 Li Jialin], 2014, [水利学报, Journal of Hydraulic Engineering], V45, P253
   Li KZ, 2012, NAT HAZARDS, V63, P737, DOI 10.1007/s11069-012-0180-y
   Lin KR, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124696
   Liu X. L., 2001, Journal of Natural Hazards, V10, P66, DOI [10.3969/j.issn.1004-4574.2001.02.011, DOI 10.3969/J.ISSN.1004-4574.2001.02.011]
   Mekanik F, 2013, J HYDROL, V503, P11, DOI 10.1016/j.jhydrol.2013.08.035
   Miguez MG, 2009, J URBAN PLAN DEV, V135, P100, DOI 10.1061/(ASCE)UP.1943-5444.0000012
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Mojaddadi H, 2017, GEOMAT NAT HAZ RISK, V8, P1080, DOI 10.1080/19475705.2017.1294113
   Mosavi A, 2018, WATER-SUI, V10, DOI 10.3390/w10111536
   Mudashiru RB, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126846
   O'Donnell EC, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0216
   Patro S, 2009, J INDIAN SOC REMOTE, V37, P107, DOI 10.1007/s12524-009-0002-1
   Paul P, 2022, NAT HAZARDS, V114, P3015, DOI 10.1007/s11069-022-05503-8
   Pham BT, 2021, KNOWL-BASED SYST, V219, DOI 10.1016/j.knosys.2021.106899
   Pourghasemi HR, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60191-3
   Qian Y, 2022, ADV ATMOS SCI, V39, P819, DOI 10.1007/s00376-021-1371-9
   Qin N., 2005, J NAT DISASTERS, V14, P5
   Qin RZ, 2022, EARTH SYST SCI DATA, V14, P4793, DOI 10.5194/essd-14-4793-2022
   Rafiei-Sardooi E, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102614
   Roy S., 2021, Environ. Challenges, V4, P100194, DOI 10.1016/j.envc.2021.100194
   RUMELHART DE, 1986, NATURE, V323, P533, DOI 10.1038/323533a0
   Sado-Inamura Y, 2019, LAND USE POLICY, V82, P13, DOI 10.1016/j.landusepol.2018.11.031
   Saravanan S, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101503
   Shi P, 2013, WATER RESOUR MANAG, V27, P1263, DOI 10.1007/s11269-012-0237-4
   Shrestha BB, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101707
   [苏伯尼 Su Boni], 2015, [清华大学学报. 自然科学版, Journal of Tsinghua University. Science and Technology], V55, P684
   Sun XJ, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102563
   Tehrany MS, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7667-0
   Tehrany MS, 2014, J HYDROL, V512, P332, DOI 10.1016/j.jhydrol.2014.03.008
   Tehrany MS, 2013, J HYDROL, V504, P69, DOI 10.1016/j.jhydrol.2013.09.034
   Vapnik VN, 1999, IEEE T NEURAL NETWOR, V10, P988, DOI 10.1109/72.788640
   Waghwala RK, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101155
   Wang Y, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112449
   Wang Y, 2020, J HYDROL, V582, DOI 10.1016/j.jhydrol.2019.124482
   Wang ZL, 2015, J HYDROL, V527, P1130, DOI 10.1016/j.jhydrol.2015.06.008
   WOLPERT DH, 1992, NEURAL NETWORKS, V5, P241, DOI 10.1016/S0893-6080(05)80023-1
   Yao J, 2022, INT J APPL EARTH OBS, V112, DOI 10.1016/j.jag.2022.102932
   Youssef AM, 2015, ENVIRON EARTH SCI, V73, P3745, DOI 10.1007/s12665-014-3661-3
   Zhao G, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125235
   Zhao G, 2019, SCI TOTAL ENVIRON, V659, P940, DOI 10.1016/j.scitotenv.2018.12.217
   [赵思健 Zhao Sijian], 2013, [灾害学, Journal of Catastrophology], V28, P54
   Zhi GZ, 2020, J ENVIRON MANAGE, V268, DOI 10.1016/j.jenvman.2020.110521
   Zou Q, 2013, STOCH ENV RES RISK A, V27, P525, DOI 10.1007/s00477-012-0598-5
NR 69
TC 8
Z9 8
U1 32
U2 83
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD JUL
PY 2023
VL 15
IS 14
AR 3678
DI 10.3390/rs15143678
PG 18
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA FI1F8
UT WOS:001145034800001
OA gold
DA 2025-04-22
ER

PT J
AU Cheng, Q
   Sha, SY
AF Cheng, Qi
   Sha, Shiyan
TI Revealing the injustice and factors that affect the resilience responses
   of residents in the full period of heat waves
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Climate change; Environmental perception; Heat action planning; Heat
   injustice; Heat-vulnerable group
ID SOCIAL RESILIENCE; CLIMATE-CHANGE; MORTALITY; STRATEGIES; VULNERABILITY;
   DEFINITION; ADAPTATION; HEATWAVES; WORKERS; HEALTH
AB Due to the influence of global warming and the urban heat island effect, heat wave resilience is particularly important for residents. In this study, we constructed a full-period evaluation system for heat wave resilience comprising three phases of preparation, resistance, and recovery from the social level in order to assess the phenomenon of heat injustice in heat waves and provide feasible heat action strategies. The results obtained by clustering, variance, and correlation analyses of the data showed the following. (1) Inequality was found in the resilience of residents with different social attributes in each phase of the heat waves. (2) The social attributes of vulnerable groups were heterogeneous in various phases of heat waves. (3) Environmental perception factors that affected resilience were heterogeneous in different phases of heat waves. Therefore, policies should focus on vulnerable groups in each phase of heat waves, and the roles of governments, neighborhoods, and individuals in heat action programs need to be clarified. The results obtained in this study provide useful evidence for developing long-term heat management and heat injustice mitigation strategies.
C1 [Cheng, Qi; Sha, Shiyan] Harbin Inst Technol, Sch Architecture, Key Lab Cold Reg Urban & Rural Human Settlement En, Minist Ind & Informat Technol, Harbin 150006, Peoples R China.
C3 Harbin Institute of Technology
RP Sha, SY (corresponding author), Harbin Inst Technol, Sch Architecture, Key Lab Cold Reg Urban & Rural Human Settlement En, Minist Ind & Informat Technol, Harbin 150006, Peoples R China.
EM shashiyan2002@163.com
OI Cheng, Qi/0000-0002-2786-4955; Sha, Shiyan/0000-0003-1228-4269
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Aghababaeian H, 2023, ENVIRON HEALTH INSIG, V17, DOI 10.1177/11786302231151538
   Al-Humaiqani MM, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103797
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   [Anonymous], 2022, Severe Heat Wave in Pakistan
   [Anonymous], 2020, Tianjin Housing and Urban-Rural Construction Commission
   [Anonymous], 2023, United Nations
   Arsad FS, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192316356
   Ballester J, 2023, NAT MED, V29, P1857, DOI 10.1038/s41591-023-02419-z
   Basu N, 2022, TRANSPORT RES F-TRAF, V87, P203, DOI 10.1016/j.trf.2022.03.006
   Berger T, 2022, LAND USE POLICY, V119, DOI 10.1016/j.landusepol.2022.106192
   Bixler RP, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.728730
   Burbidge M, 2022, LOCAL ENVIRON, V27, P160, DOI 10.1080/13549839.2021.2005007
   Cagney KA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160824
   Cai WJ, 2021, LANCET PUBLIC HEALTH, V6, pE932, DOI 10.1016/S2468-2667(21)00209-7
   Campbell SL, 2021, ENVIRON RES, V202, DOI 10.1016/j.envres.2021.111655
   Camponeschi C, 2021, GEOFORUM, V123, P78, DOI 10.1016/j.geoforum.2021.05.001
   Carmen E, 2022, AMBIO, V51, P1371, DOI 10.1007/s13280-021-01678-9
   Central Government of the People's Republic of China, 2020, Clear construction drawings for the renovation of old urban areas
   Chang KG, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14070724
   Chen FL, 2023, STRUCT CHANGE ECON D, V64, P101, DOI 10.1016/j.strueco.2022.12.007
   Chen HQ, 2022, SCI BULL, V67, P1340, DOI 10.1016/j.scib.2022.05.006
   Cheng Q, 2023, APPL GEOGR, V159, DOI 10.1016/j.apgeog.2023.103087
   Dang T. N., 2022, ISEE C ABSTR, DOI [10.1289/isee.2022.P-0700, DOI 10.1289/ISEE.2022.P-0700]
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Dong JQ, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103907
   Eady A, 2020, HEALTH PROMOT CHRON, V40, P215, DOI 10.24095/hpcdp.40.7/8.01
   Eldesoky AH, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103971
   Erens B, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-11668-x
   Faurie C, 2022, SCI TOTAL ENVIRON, V852, DOI 10.1016/j.scitotenv.2022.158332
   Gao JH, 2015, SCI TOTAL ENVIRON, V505, P535, DOI 10.1016/j.scitotenv.2014.10.028
   Garcetti M.E., 2019, Environment Economy Equity
   Goidel K, 2019, LOCAL GOV STUD, V45, P413, DOI 10.1080/03003930.2019.1571999
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Guardaro M, 2022, LOCAL ENVIRON, V27, P1133, DOI 10.1080/13549839.2022.2103654
   Haas S, 2021, ENVIRON URBAN, V33, P560, DOI 10.1177/0956247821993391
   Han LW, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.124048
   He BJ, 2023, LANDSCAPE URBAN PLAN, V237, DOI 10.1016/j.landurbplan.2023.104800
   He BJ, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103685
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Huang HJ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12050625
   Jang SY, 2023, SSM-POPUL HLTH, V23, DOI 10.1016/j.ssmph.2023.101478
   Jia X, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101614
   Kemen J, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147495
   Khalili S, 2015, INT J DISAST RISK RE, V13, P248, DOI 10.1016/j.ijdrr.2015.06.009
   Khare S, 2015, BMC PUBLIC HEALTH, V15, DOI 10.1186/s12889-015-2181-8
   Kim EJ, 2017, SCI TOTAL ENVIRON, V595, P141, DOI 10.1016/j.scitotenv.2017.03.248
   Klinenberg E., 2002, Heat Wave: A Social Autopsy of Disaster in Chicago
   Klinenberg Eric., 2018, PALACES PEOPLE SOCIA
   Lai ETC, 2023, FRONT PUBLIC HEALTH, V11, DOI 10.3389/fpubh.2023.1056800
   Larkin A, 2021, LANDSCAPE URBAN PLAN, V216, DOI 10.1016/j.landurbplan.2021.104257
   Li Y H, 2018, Zhonghua Yu Fang Yi Xue Za Zhi, V52, P424, DOI 10.3760/cma.j.issn.0253-9624.2018.04.017
   Li Yu, 2021, Huan Jing Ke Xue, V42, P5037, DOI 10.13227/j.hjkx.202102003
   [李智礼 Li Zhili], 2020, [遥感技术与应用, Remote Sensing Technology and Application], V35, P527
   Lim TC, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104497
   Liu J., 2020, Soc. Gov. Rev, V2, P64
   Liu YQ, 2022, ENVIRON SCI POLICY, V136, P642, DOI 10.1016/j.envsci.2022.07.028
   London City Hall, 2011, Managing risks and increasing resilience: Our adaptation strategy
   Lwin KK, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101745
   Ma L, 2023, LANDSCAPE URBAN PLAN, V235, DOI 10.1016/j.landurbplan.2023.104761
   Mason H, 2022, BMC HEALTH SERV RES, V22, DOI 10.1186/s12913-022-08341-3
   Mazdiyasni O, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50643-w
   Mcgregor G., 2007, Science Report - SC20061/SR6
   Ministry for the Environment, 2022, Adapt and Thrive: Building A Climate-Resilient Aotearoa New Zealand: Consultation Document
   Nobert S., 2018, Fram. Community Disaster Resil. Resour. Capacit. Learn. Action., P221
   Nunfam VF, 2018, SCI TOTAL ENVIRON, V643, P1542, DOI 10.1016/j.scitotenv.2018.06.255
   O'Donohue K, 2021, SOC SCI MED, V276, DOI 10.1016/j.socscimed.2021.113851
   Palinkas LA, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191711090
   Park J, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-28018-z
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Qamar AH, 2023, PRESENT ENV SUST DEV, V17, P139, DOI 10.47743/pesd2023171010
   Rammah A, 2022, INT J DISAST RISK RE, V81, DOI 10.1016/j.ijdrr.2022.103291
   Rashidfarokhi A, 2023, BUILD RES INF, V51, P747, DOI 10.1080/09613218.2023.2191922
   Renteria R, 2022, ENVIRON RES, V203, DOI 10.1016/j.envres.2021.111805
   Rising J, 2022, NATURE, V610, P643, DOI 10.1038/s41586-022-05243-6
   Samsudin R, 2022, LANDSCAPE URBAN PLAN, V227, DOI 10.1016/j.landurbplan.2022.104527
   Sarkar P, 2023, Climate Change and Urban Environment Sustainability, P323, DOI [10.1007/978-981-19-7618-618, DOI 10.1007/978-981-19-7618-618]
   Sha SY, 2024, URBAN FOR URBAN GREE, V94, DOI 10.1016/j.ufug.2024.128267
   Sha SY, 2024, HABITAT INT, V143, DOI 10.1016/j.habitatint.2023.102991
   Shahid M, 2022, CITIES, V130, DOI 10.1016/j.cities.2022.103851
   Shaw D, 2014, GLOBAL ENVIRON CHANG, V25, P194, DOI 10.1016/j.gloenvcha.2014.01.006
   Song YM, 2021, ENVIRON INT, V156, DOI 10.1016/j.envint.2021.106778
   Sudmeier-Rieux KI, 2014, DISASTER PREV MANAG, V23, P67, DOI 10.1108/DPM-12-2012-0143
   The Central Peoples Government of the Peoples Republic of China, 2022, CHINA INF NEWS, P2, DOI [10.38309/n.cnki.nzgxx.2022.001090, DOI 10.38309/N.CNKI.NZGXX.2022.001090]
   Tianjin Meteorological Bureau, 2023, Access to meteorological data
   Tianjin Municipal People's Government, 2021, The General Office of the Tianjin Municipal People's Government issued a notice on the implementation plan for the renovation and upgrading of old houses and old residential areas and urban renewal in Tianjin
   Tong SL, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-435
   van Loenhout JAF, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102933
   Wang RY, 2019, HEALTH PLACE, V59, DOI 10.1016/j.healthplace.2019.102186
   Weitzel EC, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19159601
   Wilson LA, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13091461
   Wu B., 2018, One Year After the Storm: Texas Gulf Coast Residents' Views and Experiences with Hurricane Harvey Recovery
   Wu SB, 2023, LANDSCAPE URBAN PLAN, V233, DOI 10.1016/j.landurbplan.2023.104701
   Wu Y, 2022, LANCET PLANET HEALTH, V6, pE410, DOI 10.1016/S2542-5196(22)00073-0
   Xi ZJ, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160270
   Xiang JJ, 2014, ENVIRON RES, V133, P90, DOI 10.1016/j.envres.2014.04.042
   Yalcin-Siedentopf N, 2021, ARCH WOMEN MENT HLTH, V24, P403, DOI 10.1007/s00737-020-01076-2
   Yang J, 2019, SCI TOTAL ENVIRON, V649, P695, DOI 10.1016/j.scitotenv.2018.08.332
   Yang Y, 2023, ENVIRON POLLUT, V336, DOI 10.1016/j.envpol.2023.122443
   Yin P, 2018, ENVIRON INT, V121, P898, DOI 10.1016/j.envint.2018.10.016
   Yong Kun Hing, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20105910
   Yue YF, 2022, SOC SCI MED, V311, DOI 10.1016/j.socscimed.2022.115333
   Zhang J, 2021, NAT HAZARDS, V107, P447, DOI 10.1007/s11069-021-04590-3
   Zhu YX, 2020, MATH PROBL ENG, V2020, DOI 10.1155/2020/3564835
NR 104
TC 7
Z9 7
U1 17
U2 39
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD JUL 15
PY 2024
VL 107
AR 105467
DI 10.1016/j.scs.2024.105467
EA APR 2024
PG 18
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA SM9B3
UT WOS:001234976700001
DA 2025-04-22
ER

PT J
AU Dong, SJ
   Gao, XY
   Mostafavi, A
   Gao, JX
   Gangwal, U
AF Dong, Shangjia
   Gao, Xinyu
   Mostafavi, Ali
   Gao, Jianxi
   Gangwal, Utkarsh
TI Characterizing resilience of flood-disrupted dynamic transportation
   network through the lens of link reliability and stability
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Urban flooding; Traffic reliability; Link stability; Transportation
   network resilience
ID TRAVEL-TIME RELIABILITY; ROAD NETWORK; METHODOLOGY; INFRASTRUCTURE;
   ROBUSTNESS; SYSTEMS; RISK
AB Traffic congestion occurs daily but the transportation network still functions to meet people's travel needs. We propose that a road meets operation requirements as long as the quality of its links (i.e., speed or travel time) satisfies an acceptable threshold. This paper incorporates the link reliability concept into the road travel performance using the link quality threshold to offer new perspectives on network resilience measurement. We introduce two aggregated macroscopic metrics: network reliability scale index, and network stability, based on the link reliability to quantify the road travel performance change in facing external disturbance. We use the temporal traffic-embedded Harris County, TX transportation network during the 2017 Hurricane Harvey as a case study. We show that the proposed metrics can well capture the transportation network performance variation during flooding. Also, we develop an integrated resilience metric that encapsulates the network resistance, recoverability, and rapidity in facing flooding. The results move us closer to better understanding transportation network resilience behavior in different link quality conditions (q). The findings of this research also provide important insights for city planners and traffic operators to examine transportation network resilience through a reliability and stability lens.
C1 [Dong, Shangjia; Gangwal, Utkarsh] Univ Delaware, Disaster Res Ctr, Dept Civil & Environm Engn, Newark, DE 19716 USA.
   [Gao, Xinyu; Mostafavi, Ali] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77843 USA.
   [Gao, Jianxi] Rensselaer Polytech Inst, Comp Sci Dept, Troy, NY 12180 USA.
   [Gao, Jianxi] Rensselaer Polytech Inst, Network Sci & Technol Ctr, Troy, NY 12180 USA.
C3 University of Delaware; Texas A&M University System; Texas A&M
   University College Station; Rensselaer Polytechnic Institute; Rensselaer
   Polytechnic Institute
RP Dong, SJ (corresponding author), Univ Delaware, Disaster Res Ctr, Dept Civil & Environm Engn, Newark, DE 19716 USA.
EM sjdong@udel.edu
RI Mostafavi, Ali/R-2133-2018; Gao, Jianxi/I-1300-2013
OI Dong, Shangjia/0000-0003-4280-0500; Gao, Jianxi/0000-0002-3952-208X
FU US National Science Foundation [2047488, 1832662]; Rensselaer-IBM AI
   Research Collaboration; University of Delaware Research Foundation,
   United States of America [21A00986]
FX The authors would like to acknowledge funding support from the US
   National Science Foundation under award #1832662. J.G acknowl-edges the
   support of the US National Science Foundation under grant #2047488, the
   Rensselaer-IBM AI Research Collaboration. S.D. ac-knowledges the support
   from the University of Delaware Research Foundation, United States of
   America under Grant 21A00986. We also thank INRIX for providing the
   data. Any opinions, conclusion, and recommendations expressed in this
   research are those of the authors and do not necessarily reflect the
   view of the funding agencies. The au-thors would also like to thank the
   Editor and the anonymous reviewers for their constructive comments and
   valuable insights to improve the quality of the article.
CR Adams TM, 2012, J TRANSP ENG, V138, P1403, DOI 10.1061/(ASCE)TE.1943-5436.0000415
   Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   Al-Deek H, 2006, J INTELL TRANSPORT S, V10, P117, DOI 10.1080/15472450600793586
   [Anonymous], Traffic Congestion and Reliability: Trends and Advanced Strategies for Congestion Mitigation
   [Anonymous], 2009, Critical Infrastructure Resilience Final Report and Recommendations
   Baroud H, 2014, TRANSPORT RES E-LOG, V62, P55, DOI 10.1016/j.tre.2013.11.010
   Bellè A, 2022, RELIAB ENG SYST SAFE, V217, DOI 10.1016/j.ress.2021.108091
   Berdica K., 2002, TRANSPORT POLICY, V9, P117, DOI DOI 10.1016/S0967-070X(02)00011-2
   Boakye J, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108184
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chen A, 2002, TRANSPORT RES B-METH, V36, P225, DOI 10.1016/S0191-2615(00)00048-5
   Chen A, 2007, NETW SPAT ECON, V7, P241, DOI 10.1007/s11067-006-9012-5
   Chen C, 2003, TRANSPORT RES REC, P74, DOI 10.3141/1855-09
   Chen DJ, 2022, RELIAB ENG SYST SAFE, V222, DOI 10.1016/j.ress.2022.108461
   Chen LC, 2012, TRANSPORT SCI, V46, P109, DOI 10.1287/trsc.1110.0376
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Davis Craig A, 2018, NATURAL HAZARDS REV, V19
   Dong SJ, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00366-0
   Dong SJ, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102398
   Dong SJ, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000533
   Dong SJ, 2020, COMPUT ENVIRON URBAN, V80, DOI 10.1016/j.compenvurbsys.2019.101443
   Dong SJ, 2020, PHYSICA A, V538, DOI 10.1016/j.physa.2019.122971
   Dong SJ, 2019, J R SOC INTERFACE, V16, DOI 10.1098/rsif.2019.0149
   Dowling R, 2015, INCORPORATING RELIAB
   Esfeh MA, 2022, TRANSPORT RES C-EMER, V136, DOI 10.1016/j.trc.2021.103549
   Esmalian A, 2021, RISK ANAL, V41, P2336, DOI 10.1111/risa.13738
   Esmalian A, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102694
   Fan DM, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2021.108294
   Farahmand H, 2021, COMPUT ENVIRON URBAN, V89, DOI 10.1016/j.compenvurbsys.2021.101663
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Faturechi R, 2014, COMPUT-AIDED CIV INF, V29, P572, DOI 10.1111/mice.12027
   Florida DOT, 2000, FLOR REL METH FLOR M
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gao JX, 2013, PHYS REV E, V88, DOI 10.1103/PhysRevE.88.062816
   Gao JX, 2012, NAT PHYS, V8, P40, DOI 10.1038/nphys2180
   Geng SY, 2022, RELIAB ENG SYST SAFE, V222, DOI 10.1016/j.ress.2022.108423
   Gore N, 2021, J TRANSP ENG A-SYST, V147, DOI 10.1061/JTEPBS.0000531
   Guidotti R, 2019, RELIAB ENG SYST SAFE, V185, P476, DOI 10.1016/j.ress.2019.01.008
   Haimes YY, 2009, RISK ANAL, V29, P498, DOI 10.1111/j.1539-6924.2009.01216.x
   Hamedmoghadam H, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21483-y
   Han L, 2021, RELIAB ENG SYST SAFE, V207, DOI 10.1016/j.ress.2020.107346
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Huang WC, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107779
   Iannacone L, 2022, RELIAB ENG SYST SAFE, V217, DOI 10.1016/j.ress.2021.108074
   Ibrahim Ala'A, 2017, HARVEY ANOTHER MAMMO
   Jenelius E, 2006, TRANSPORT RES A-POL, V40, P537, DOI 10.1016/j.tra.2005.11.003
   Jiang YA, 2017, Arxiv, DOI arXiv:1705.08269
   John Schwartz, 2017, NEW YORK TIMES
   Kalle Culotta, 2019, DOES TRAVEL TIME REL
   Kermanshah A, 2016, RELIAB ENG SYST SAFE, V153, P39, DOI 10.1016/j.ress.2016.04.007
   Kodupuganti Swapneel R, 2019, TRANSP RES INTERDISC, V3
   Li DQ, 2015, RELIAB ENG SYST SAFE, V142, P556, DOI 10.1016/j.ress.2015.05.021
   Li DQ, 2015, P NATL ACAD SCI USA, V112, P669, DOI 10.1073/pnas.1419185112
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   Liu Xueming, 2020, PHYS REPORTS, V971, P1
   Lo HK, 2006, TRANSPORT RES B-METH, V40, P792, DOI 10.1016/j.trb.2005.10.003
   Lu QC, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108320
   Lyman K, 2008, TRANSPORT RES REC, P1, DOI 10.3141/2046-01
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   Morelli AB, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2021.102770
   Muriel-Villegas JE, 2016, RELIAB ENG SYST SAFE, V152, P151, DOI 10.1016/j.ress.2016.03.006
   Murray-Tuite PM, 2004, TRANSPORT RES REC, P88, DOI 10.3141/1882-11
   Nikola Blagojevic, 2021, RELIAB ENG SYST SAF
   NOAA, 2017, MAJ HURR HARV AUG 25
   Pan X, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108483
   Papilloud T, 2021, TRANSPORT RES D-TR E, V100, DOI 10.1016/j.trd.2021.103045
   Pennetti CA, 2020, RELIAB ENG SYST SAFE, V204, DOI 10.1016/j.ress.2020.107126
   Pimm SL, 2019, NAT SUSTAIN, V2, P895, DOI 10.1038/s41893-019-0399-7
   Poulin C, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107926
   Rachunok B, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106658
   Sakakibara H, 2004, J TRANSP ENG, V130, P560, DOI 10.1061/(ASCE)0733-947X(2004)130:5(560)
   Sisiopiku V.P., 2012, International Journal of Engineering Research and Development, V3, P83
   STERMAN BP, 1976, TRANSPORT ENG-J ASCE, V102, P147
   Sullivan JL, 2010, TRANSPORT RES A-POL, V44, P323, DOI 10.1016/j.tra.2010.02.003
   Sun WJ, 2020, SUSTAIN RESIL INFRAS, V5, P168, DOI 10.1080/23789689.2018.1448663
   Tim Lomax, 2004, PUB FEDERAL HIGHWAY
   Tornyeviadzi HM, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108217
   Utkarsh Gangwal, 2022, RELIAB ENG SYST SAF, V224
   van Oldenborgh GJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa9ef2
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wang NX, 2022, RELIAB ENG SYST SAFE, V226, DOI 10.1016/j.ress.2022.108673
   Wang WP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10063-w
   Wisniewski S, 2020, TRANSPORT RES D-TR E, V87, DOI 10.1016/j.trd.2020.102510
   Xu XD, 2018, TRANSPORT RES B-METH, V114, P68, DOI 10.1016/j.trb.2018.05.014
   Yabe TC, 2022, COMPUT ENVIRON URBAN, V94, DOI 10.1016/j.compenvurbsys.2022.101777
   Yarveisy R, 2020, RELIAB ENG SYST SAFE, V197, DOI 10.1016/j.ress.2020.106810
   Yeh CT, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107757
   Yin JT, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108183
   Yu DP, 2020, NAT SUSTAIN, V3, P728, DOI 10.1038/s41893-020-0516-7
   Zeng GW, 2020, P NATL ACAD SCI USA, V117, P17528, DOI 10.1073/pnas.1907493117
   Zeng WL, 2016, TRANSPORT RES C-EMER, V68, P194, DOI 10.1016/j.trc.2016.04.007
   Zhang JH, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107707
   Zhang L, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108367
   Zhang MY, 2022, RELIAB ENG SYST SAFE, V225, DOI 10.1016/j.ress.2022.108570
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
NR 97
TC 46
Z9 48
U1 58
U2 252
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0951-8320
EI 1879-0836
J9 RELIAB ENG SYST SAFE
JI Reliab. Eng. Syst. Saf.
PD APR
PY 2023
VL 232
AR 109071
DI 10.1016/j.ress.2022.109071
EA JAN 2023
PG 13
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA 8C9AC
UT WOS:000917892200001
OA Bronze
DA 2025-04-22
ER

PT J
AU Lisi, PJ
   Childress, ES
   Gagne, RB
   Hain, EF
   Lamphere, BA
   Walter, RP
   Hogan, JD
   Gilliam, JF
   Blum, MJ
   McIntyre, PB
AF Lisi, Peter J.
   Childress, Evan S.
   Gagne, Roderick B.
   Hain, Ernie F.
   Lamphere, Brad A.
   Walter, Ryan P.
   Hogan, J. Derek
   Gilliam, James F.
   Blum, Michael J.
   McIntyre, Peter B.
TI Overcoming urban stream syndrome: Trophic flexibility confers resilience
   in a Hawaiian stream fish
SO FRESHWATER BIOLOGY
LA English
DT Article
DE amphidromy; aquatic invasive species; goby; omnivory; urbanisation
ID SICYOPTERUS-STIMPSONI; ASSEMBLAGE STRUCTURE; COMMUNITY STRUCTURE;
   ECOSYSTEM FUNCTION; INDO-PACIFIC; PUERTO-RICO; LAND-USE; STRATEGIES;
   INVASION; STOICHIOMETRY
AB Urbanisation is widely associated with a suite of physical, chemical and biological degradation of stream ecosystems, known as urban stream syndrome. It is unclear whether urban stream syndrome is applicable to oceanic islands, where marine dispersal of larvae enables diadromous species to continuously recolonise even highly degraded urban streams. The depauperate native fauna of oceanic island streams can be entirely composed of diadromous species, but urban streams food webs are often dominated by introduced predators, competitors and functional groups derived from continental systems. Despite these challenges, some native species appear to thrive in urbanised catchments. Here, we test for urban stream syndrome on oceanic islands by quantifying catchment land use, nutrient concentrations and fish community composition for 37 streams across the Hawaiian archipelago. To assess how native species adapt to food webs altered by species introductions, we quantified trophic responses by examining stomach contents, nitrogen stable isotopes and body condition of Awaous stamineus (an omnivorous goby) in each stream. Urbanisation was consistently associated with nitrogen pollution and replacement of native species with more tolerant exotics. Population densities of three of five native goby species declined sharply with urbanisation, whereas the two other native gobies species were resilient. The trophic position of the omnivore A.stamineus was elevated in urban streams compared to forested catchments, reflecting a shift in stomach contents from algae to greater reliance on exotic aquatic and terrestrial invertebrates. Comparable body condition and resilient population density of A.stamineus across the urbanisation gradient suggest that dietary flexibility buffers this species against environmental degradation. Our findings indicate that the concept of urban stream syndrome is applicable to oceanic islands, yet A.stamineus shows striking resilience. Flexibility in diet, life history and habitat use of this native goby appear to buffer it against the effects of urbanisation compared to most other amphidromous fishes in Hawaiian streams.
C1 [Lisi, Peter J.; Childress, Evan S.; McIntyre, Peter B.] Univ Wisconsin Madison, Ctr Limnol, Madison, WI 53706 USA.
   [Gagne, Roderick B.; Blum, Michael J.] Tulane Univ, Dept Ecol & Evolutionary Biol, New Orleans, LA 70118 USA.
   [Gagne, Roderick B.] Colorado State Univ, Dept Microbiol Immunol & Pathol, Ft Collins, CO 80523 USA.
   [Hain, Ernie F.] North Carolina State Univ, Ctr Geospatial Analyt, Raleigh, NC USA.
   [Lamphere, Brad A.] Coll William & Mary, Dept Biol, Williamsburg, VA 23185 USA.
   [Walter, Ryan P.] Calif State Univ Fullerton, Dept Biol Sci, Fullerton, CA 92634 USA.
   [Hogan, J. Derek] Texas A&M Univ Corpus Christi, Dept Life Sci, Corpus Christi, TX USA.
   [Gilliam, James F.] North Carolina State Univ, Dept Biol, Raleigh, NC USA.
C3 University of Wisconsin System; University of Wisconsin Madison; Tulane
   University; Colorado State University System; Colorado State University
   Fort Collins; North Carolina State University; William & Mary;
   California State University System; California State University
   Fullerton; Texas A&M University System; Texas A&M University Corpus
   Christi; North Carolina State University
RP Lisi, PJ (corresponding author), Univ Wisconsin Madison, Ctr Limnol, Madison, WI 53706 USA.
EM pjlisi@wisc.edu
RI Gilliam, James/D-5605-2013
OI McIntyre, Peter/0000-0003-1809-7552; Gagne, Roderick/0000-0002-4901-5081
FU U.S. Department of Defense Strategic Environmental Research and
   Development Program [RC-1646, RC-2447]; University of Wisconsin; Packard
   Fellowship in Science and Engineering [RC-1646, RC-2447]
FX U.S. Department of Defense Strategic Environmental Research and
   Development Program, Grant/Award Number: RC-1646, RC-2447; University of
   Wisconsin; Packard Fellowship in Science and Engineering, Grant/Award
   Number: RC-1646, RC-2447
CR Alda F, 2016, J EVOLUTION BIOL, V29, P2054, DOI 10.1111/jeb.12929
   Allan J. D., 2007, Stream ecology: structure and function of running waters, V2nd
   Allan JD, 2004, ANNU REV ECOL EVOL S, V35, P257, DOI 10.1146/annurev.ecolsys.35.120202.110122
   [Anonymous], 2002, Series: Springer Series in Statistics, DOI DOI 10.1007/B98835
   [Anonymous], 1996, FISHERIES TECHNIQUES
   [Anonymous], SOCIOL METHOD RES
   [Anonymous], PACIFIC SCI
   Booth DB, 2016, FRESHW SCI, V35, P412, DOI 10.1086/684940
   BOWEN SH, 1995, ECOLOGY, V76, P899, DOI 10.2307/1939355
   Brasher AMD, 2003, BIOSCIENCE, V53, P1052, DOI 10.1641/0006-3568(2003)053[1052:IOHDOB]2.0.CO;2
   Brasher AMD, 2004, 034256 US GEOL SURV
   Brasher AMD, 2006, T AM FISH SOC, V135, P1109, DOI 10.1577/T05-083.1
   Capps KA, 2015, BIOL INVASIONS, V17, P1253, DOI 10.1007/s10530-014-0793-z
   Crandall ED, 2010, HEREDITY, V104, P563, DOI 10.1038/hdy.2009.138
   Cross WF, 2005, FRESHWATER BIOL, V50, P1895, DOI 10.1111/j.1365-2427.2005.01458.x
   Eldredge Lucius G., 1995, Bishop Museum Occasional Papers, V41, P3
   Engman AC, 2012, HYDROBIOLOGIA, V693, P141, DOI 10.1007/s10750-012-1100-6
   Gesch D, 2002, PHOTOGRAMM ENG REM S, V68, P5
   Giambelluca TW, 2013, B AM METEOROL SOC, V94, P313, DOI 10.1175/BAMS-D-11-00228.1
   Gido KB, 2007, ECOL FRESHW FISH, V16, P457, DOI 10.1111/j.1600-0633.2007.00235.x
   Groffman PM, 2004, ECOSYSTEMS, V7, P393, DOI 10.1007/s10021-003-0039-x
   Hain EF, 2016, T AM FISH SOC, V145, P878, DOI 10.1080/00028487.2016.1159610
   Hein CL, 2011, FRESHWATER BIOL, V56, P1002, DOI 10.1111/j.1365-2427.2010.02537.x
   Higashi Glenn R., 2007, Bishop Museum Bulletin in Cultural and Environmental Studies, V3, P305
   HILL MO, 1980, VEGETATIO, V42, P47, DOI 10.1007/BF00048870
   Hogan JD, 2014, ECOLOGY, V95, P2397, DOI 10.1890/13-0576.1
   Homer C, 2007, PHOTOGRAMM ENG REM S, V73, P337
   Jenkins AP, 2010, AQUAT CONSERV, V20, P224, DOI 10.1002/aqc.1086
   Julius ML, 2005, AQUAT ECOL, V39, P473, DOI 10.1007/s10452-005-9007-1
   Kautza A, 2016, FRESHW SCI, V35, P895, DOI 10.1086/685932
   Keith P, 2003, J FISH BIOL, V63, P831, DOI 10.1046/j.1095-8649.2003.00197.x
   Kido MH, 1996, ENVIRON BIOL FISH, V45, P199, DOI 10.1007/BF00005234
   Kido MH, 2008, ENVIRON BIOL FISH, V82, P223, DOI 10.1007/s10641-007-9276-8
   Kido MH, 2013, ENVIRON MONIT ASSESS, V185, P4063, DOI 10.1007/s10661-012-2849-9
   Kido Michael H., 1993, Pacific Science, V47, P43
   KINZIE RA, 1988, ENVIRON BIOL FISH, V22, P179, DOI 10.1007/BF00005380
   Kirs M, 2017, WATER RES, V116, P23, DOI 10.1016/j.watres.2017.03.024
   KRUSKAL JB, 1964, PSYCHOMETRIKA, V29, P1, DOI 10.1007/BF02289565
   Kwak T.J., 2007, Fishery Population and Habitat Assessment in Puerto Rico Streams
   Lau L.Stephen., 2006, HYDROLOGY HAWAIIAN I
   Layhee Megan, 2014, Pacific Conservation Biology, V20, P252
   Lord C, 2011, J FISH BIOL, V79, P1304, DOI 10.1111/j.1095-8649.2011.03112.x
   MACIOLEK JA, 1981, B MAR SCI, V31, P702
   McCutchan JH, 2003, OIKOS, V102, P378, DOI 10.1034/j.1600-0706.2003.12098.x
   McDowall RM, 2007, FISH FISH, V8, P1, DOI 10.1111/j.1467-2979.2007.00232.x
   McDowall RM, 2010, REV FISH BIOL FISHER, V20, P87, DOI 10.1007/s11160-009-9125-2
   McRae Mark G., 2007, Bishop Museum Bulletin in Cultural and Environmental Studies, V3, P87
   Mennesson MI, 2015, CYBIUM, V39, P249
   Merritt R. W., 1996, INTRO AQUATIC INSECT
   Meyer JL, 2005, J N AM BENTHOL SOC, V24, P602, DOI 10.1899/04-021.1
   Miltner RJ, 2004, LANDSCAPE URBAN PLAN, V69, P87, DOI 10.1016/j.landurbplan.2003.10.032
   Moody KN, 2017, CYBIUM, V41, P127
   Oksanen J., 2022, vegan community ecology package version 2.6-2
   Olden JD, 2006, ECOL MONOGR, V76, P25, DOI 10.1890/05-0330
   Radtke RL, 1999, J EXP MAR BIOL ECOL, V238, P21, DOI 10.1016/S0022-0981(98)00160-9
   Ramírez A, 2012, URBAN ECOSYST, V15, P315, DOI 10.1007/s11252-011-0214-3
   Ramírez A, 2009, J N AM BENTHOL SOC, V28, P1070, DOI 10.1899/08-165.1
   Richardson JS, 2010, RIVER RES APPL, V26, P55, DOI 10.1002/rra.1283
   Roy AH, 2003, FRESHWATER BIOL, V48, P329, DOI 10.1046/j.1365-2427.2003.00979.x
   Ruesink JL, 2001, OIKOS, V93, P221, DOI 10.1034/j.1600-0706.2001.930206.x
   Sagouis A, 2015, ECOGRAPHY, V38, P979, DOI 10.1111/ecog.01348
   Schoenfuss Heiko L., 2004, Ichthyological Exploration of Freshwaters, V15, P83
   Schoenfuss HL, 2003, J ZOOL, V261, P191, DOI 10.1017/S0952836903004102
   Singer GA, 2007, ECOL APPL, V17, P376, DOI 10.1890/06-0229
   Stevenson R.J, 1996, ALGAL ECOLOGY FRESHW
   Utz RM, 2016, FRESHW SCI, V35, P380, DOI 10.1086/684839
   Vinson MR, 2008, N AM J FISH MANAGE, V28, P701, DOI 10.1577/M06-039.1
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Walter R. P., 2012, Endangered Species Research, V16, P261, DOI 10.3354/esr00404
   Wenger SJ, 2009, J N AM BENTHOL SOC, V28, P1080, DOI 10.1899/08-186.1
   Whittier RB., 2014, HUMAN HLTH ENV RISK
   Wootton KL, 2017, FRESHWATER BIOL, V62, P821, DOI 10.1111/fwb.12908
   Yamamoto M.N., 2000, HAWAIIS NATIVE EXOTI
NR 73
TC 29
Z9 36
U1 1
U2 59
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0046-5070
EI 1365-2427
J9 FRESHWATER BIOL
JI Freshw. Biol.
PD MAY
PY 2018
VL 63
IS 5
BP 492
EP 502
DI 10.1111/fwb.13091
PG 11
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA GB3YA
UT WOS:000428995400008
OA Bronze
DA 2025-04-22
ER

PT J
AU Zhang, Z
   Liu, J
   Xiao, CY
   Chen, GH
AF Zhang, Zi
   Liu, Jie
   Xiao, Chengyu
   Chen, Guanghao
TI Making waves: Enhancing sustainability and resilience in coastal cities
   through the incorporation of seawater into urban metabolism
SO WATER RESEARCH
LA English
DT Article
DE Seawater; Sanitation; Cooling; Water-energy nexus; Sustainability;
   Resilience
ID CARBON NEXUS; WATER
AB Water and energy are critical components of urban metabolism. However, climate change-induced water scarcity and elevated temperatures pose a significant threat to the adequate supply of essential human services, including sanitation and space cooling, particularly in coastal cities where over 40% of the population resides. The water-energy nexus of sanitation and space cooling is crucial for promoting sustainability and resilience in coastal cities. For decades, Hong Kong has demonstrated the effectiveness of using seawater for toilet flushing and district cooling to save water and energy, which could serve as a potential solution for other coastal cities worldwide. Seawater is a superior alternative to other sources of toilet flushing water due to its abundant availability, easy detection of cross-contamination, and lower treatment costs. Furthermore, saline wastewater treatment requires fewer materials and energy inputs and produces less sludge. Using seawater for district cooling also saves energy without exacerbating water stress. However, there is a lack of comprehensive insights from Hong Kong on how seawater use can be adopted by other coastal cities to promote sustainable development. A successful introduction of seawater into coastal cities requires a holistic water-energy management framework that provides technical and policy-level guidance. We developed such a framework that follows four sustainability principles, namely customized solutions, efficient resource allocation, comprehensive evaluation, and optimized tradeoffs. These principles are designed into contextualized location analysis, urban spatial analysis, integrated sustainability assessment, and nexus analysis. The results of these analyses can aid decisionmaking regarding the technical and policy aspects of seawater uses in sanitation and space cooling to maximize the positive impacts on sustainable development. Breaking barriers between sectors and encouraging intermunicipal cooperation between sectors are critical to the successful use of seawater. By adopting this framework and promoting collaboration across different sectors, coastal cities can enhance their sustainability and resilience, providing a better quality of life for their citizens.
C1 [Zhang, Zi; Liu, Jie; Xiao, Chengyu; Chen, Guanghao] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China.
   [Zhang, Zi; Liu, Jie; Xiao, Chengyu; Chen, Guanghao] Hong Kong Univ Sci & Technol, Chinese Natl Engn Res Ctr Control & Treatment Heav, Hong Kong Branch, Hong Kong, Peoples R China.
   [Zhang, Zi; Liu, Jie; Xiao, Chengyu; Chen, Guanghao] Hong Kong Univ Sci & Technol, Water Technol Ctr, Hong Kong, Peoples R China.
C3 Hong Kong University of Science & Technology; Hong Kong University of
   Science & Technology; Hong Kong University of Science & Technology
RP Chen, GH (corresponding author), Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China.
EM ceghchen@ust.hk
RI Chen, Guanghao/LUW-8872-2024
FU Hong Kong Research Grants Council [T21 -604/19-R]; Hong Kong Innova-
   tion and Technology Commission [ITC-CNERC14EG03]
FX The study is supported by the fundings from The Hong Kong Research
   Grants Council (No. T21 -604/19-R) and Hong Kong Innova- tion and
   Technology Commission (No. ITC-CNERC14EG03) .
CR Ameen RFM, 2019, SUSTAIN CITIES SOC, V44, P356, DOI 10.1016/j.scs.2018.10.020
   Arehart JH, 2021, ENVIRON SCI TECHNOL, V55, P5161, DOI 10.1021/acs.est.0c05081
   Bouabid A, 2021, J WATER SANIT HYG DE, V11, P208, DOI 10.2166/washdev.2021.203
   Chertow M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab20ed
   Cook L, 2004, AREA, V36, P111, DOI 10.1111/j.0004-0894.2004.00208.x
   Creel L., 2003, Population Reference Bureau Measure Communication
   Datsgerdi HR, 2018, DESALINATION, V448, P36, DOI 10.1016/j.desal.2018.09.018
   Dorfner J., 2017, Future Cities and Environment, V3, P1, DOI DOI 10.1186/S40984-016-0024-0
   Duan CC, 2016, ENRGY PROCED, V104, P183, DOI 10.1016/j.egypro.2016.12.032
   EL-Gafy I, 2017, WATER RESOUR MANAG, V31, P4971, DOI 10.1007/s11269-017-1789-0
   Electrical and Mechanical Services Department (EMSD), 2019, Application of photovoltaic systems in Hong Kong
   Endo A, 2018, WATER-SUI, V10, DOI 10.3390/w10091245
   Energy O. of energy efficiency and renewable, 2020, COMM BUILD INT PROGR
   Finnegan S, 2018, ENERG BUILDINGS, V181, P50, DOI 10.1016/j.enbuild.2018.09.037
   Fleming E., 2018, COASTAL EFFECTS IMPA, VII II, P322, DOI [10.7930/NCA4.2018.CH8, DOI 10.7930/NCA4.2018.CH8]
   Guo Y, 2022, NAT SUSTAIN, V5, P1070, DOI 10.1038/s41893-022-00963-z
   He Q, 2014, SCI REP-UK, V4, DOI 10.1038/srep05995
   HKSAR, 2021, DISTR COOL SYST
   Hunt JD, 2019, ENERGY, V166, P979, DOI 10.1016/j.energy.2018.10.146
   International Energy Agency, 2018, The Future of Cooling
   Kanakoudis V, 2020, WATER-SUI, V12, DOI 10.3390/w12102882
   Lee CT, 2018, CLEAN TECHNOL ENVIR, V20, P443, DOI 10.1007/s10098-018-1512-8
   Leung RWK, 2012, WATER SCI TECHNOL, V65, P410, DOI 10.2166/wst.2012.768
   Liao XW, 2016, GLOBAL ENVIRON CHANG, V41, P142, DOI 10.1016/j.gloenvcha.2016.09.007
   Liu XM, 2019, WATER RES, V162, P505, DOI 10.1016/j.watres.2019.07.016
   NASA SEDAC, 2010, GRIDDED POPULATION W
   Ng TL, 2015, WATER POLICY, V17, P83, DOI 10.2166/wp.2014.045
   Opportunities E., 2018, EFF OPP
   Raveendran PS, 2017, ENERG BUILDINGS, V134, P1, DOI 10.1016/j.enbuild.2016.11.013
   Riazi F, 2022, WATER-SUI, V14, DOI 10.3390/w14182789
   Ribeiro N., 2014, LEGISLATIVE COUNCIL, P14
   Robb D, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1548
   Shrestha S, 2015, WATER SCI TECH-W SUP, V15, P889, DOI 10.2166/ws.2015.046
   Tang SL, 2006, WATER ENVIRON J, V20, P240, DOI 10.1111/j.1747-6593.2006.00036.x
   Tello MA, 2020, J BUS RES, V119, P562, DOI 10.1016/j.jbusres.2020.07.040
   United Nations, 2017, OC C FACT SHEET
   US EPA, 2022, RES TOIL
   Wang XC, 2021, RENEW SUST ENERG REV, V150, DOI 10.1016/j.rser.2021.111485
   Wu D, 2016, WATER RES, V100, P496, DOI 10.1016/j.watres.2016.05.052
   Yik FWH, 2001, ENERG BUILDINGS, V33, P167, DOI 10.1016/S0378-7788(00)00095-5
   Yip C.H, 2013, 4 GREATER PEARL RIVE, P103
   Zhang Z, 2023, ENVIRON SCI TECHNOL, V57, P5068, DOI 10.1021/acs.est.2c07352
NR 42
TC 4
Z9 4
U1 19
U2 66
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0043-1354
EI 1879-2448
J9 WATER RES
JI Water Res.
PD AUG 15
PY 2023
VL 242
AR 120140
DI 10.1016/j.watres.2023.120140
EA JUN 2023
PG 6
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA L6ZM7
UT WOS:001024722800001
PM 37327544
DA 2025-04-22
ER

PT J
AU Pares, M
   Blanco, I
   Fernández, C
AF Pares, Marc
   Blanco, Ismael
   Fernandez, Charlotte
TI Facing the Great Recession in Deprived Urban Areas: How Civic Capacity
   Contributes to Neighborhood Resilience
SO CITY & COMMUNITY
LA English
DT Article
ID COMMUNITY RESILIENCE; FINANCIAL CRISIS; SOCIAL PROCESSES; GEOGRAPHIES;
   GOVERNANCE; METAPHOR
AB Research suggests that some communities are more resilient than others in the face of the same external stress. Both the local effects of and local responses to the 2008 financial collapse and economic recession have been geographically variegated. Drawing upon two case studies in the Metropolitan Region of Barcelona (Spain), this paper aims to understand why some historically deprived neighborhoods are proving more resilient than others in facing the effects of the Great Recession. We conclude that neighborhood resilience, strongly influenced by the precrash context and by socially produced conditions of vulnerability, operates in each community according to at least three context-specific and interdependent factors: built environment, social capital, and civic capacity. We focus on civic capacityunderstood as neighborhood ability to mobilize different sectors of the community to act in a coordinated fashion around matters of community-wide importanceand demonstrate that it is a significant resource contributing to neighborhood resilience.
C1 [Pares, Marc] Univ Autonoma Barcelona, Dept Geog, Inst Govt & Publ Policies, Edifici MRA,Campus UAB, E-08193 Barcelona, Spain.
   [Blanco, Ismael] Univ Autonoma Barcelona, Polit Sci & Publ Law, Inst Govt & Publ Policies, Barcelona, Spain.
   [Fernandez, Charlotte] Univ Autonoma Barcelona, Inst Govt & Publ Policies, Barcelona, Spain.
C3 Autonomous University of Barcelona; Autonomous University of Barcelona;
   Autonomous University of Barcelona
RP Pares, M (corresponding author), Univ Autonoma Barcelona, Dept Geog, Inst Govt & Publ Policies, Edifici MRA,Campus UAB, E-08193 Barcelona, Spain.
EM marc.pares@uab.cat
OI Pares, Marc/0000-0002-0487-5264
FU RecerCaixa Program under the project entitled "Barris i Crisi"
FX This work was supported by the RecerCaixa Program under the project
   entitled "Barris i Crisi" led by Dr. Ismael Blanco (Universitat Autonoma
   de Barcelona). We would like to especially thank the whole research team
   that contributed to this project.
CR Albertos J.M., 2014, Geografia de la crisis economica en Espana
   Amaratunga D., 2010, International Journal ofDisaster Resilience in the Built Environment, V1, P11, DOI [10.1108/17595901011026454, DOI 10.1108/17595901011026454]
   [Anonymous], 1980, LECT VILLE VERSAILLE
   Atkinson R, 2001, URBAN STUD, V38, P2277, DOI 10.1080/00420980120087162
   Blanco I., 2013, INTERROGATING URBAN
   Blanco Ismael, 2014, ECPR GEN C GLASG
   Bosher L., 2008, HAZARDS BUILT ENV
   Bourdieu P., 1986, HDB THEORY RES SOCIO
   Briggs XDS, 2008, DEMOCRACY AS PROBLEM SOLVING: CIVIC CAPACITY IN COMMUNITIES ACROSS THE GLOBE, P1
   Browning CR, 2006, AM SOCIOL REV, V71, P661, DOI 10.1177/000312240607100407
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   DeFilippis J, 2001, HOUS POLICY DEBATE, V12, P781, DOI 10.1080/10511482.2001.9521429
   Medrano JD, 2014, PARTECIP CONFL, V7, P447, DOI 10.1285/i20356609v7i3p532
   FLEURY Sonia, 2008, RESPUESTAS LOCALES I
   Forrest R, 2001, URBAN STUD, V38, P2125, DOI 10.1080/00420980120087081
   Gauthier P, 2006, URBAN MORPHOL, V10, P41
   Goldstein BE, 2015, URBAN STUD, V52, P1285, DOI 10.1177/0042098013505653
   Gonzalez S, 2014, URBAN STUD, V51, P3164, DOI 10.1177/0042098013519142
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Hill P.T., 2000, IT TAKES CITY GETTIN
   Hills John., 2002, UNDERSTANDING SOCIAL
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hyman J.B., 2002, APPL DEV SCI, V6, P196, DOI DOI 10.1207/S1532480XADS06046
   Judd Dennis., 2006, CITY COMMUNITY, V5, P43
   Jun Jong S., 1999, ADM THEORY PRAXIS, V21, P1
   Kapucu Naim., 2011, International Journal of Social Inquiry, V4, P23
   Keck M, 2013, ERDKUNDE, V67, P5, DOI 10.3112/erdkunde.2013.01.02
   Levy A., 1999, URBAN MORPHOL, V3, P79, DOI 10.51347/jum.v3i2.3885
   Logan John., 1987, URBAN FORTUNES
   Lorenz DF, 2013, NAT HAZARDS, V67, P7, DOI 10.1007/s11069-010-9654-y
   Lupton R., 2002, UNDERSTANDING SOCIAL, P118
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Marcy RT, 2015, LEADERSHIP QUART, V26, P370, DOI 10.1016/j.leaqua.2015.02.004
   Martin DG, 2003, ANN ASSOC AM GEOGR, V93, P730, DOI 10.1111/1467-8306.9303011
   Martin R, 2011, J ECON GEOGR, V11, P587, DOI 10.1093/jeg/lbq024
   Morgan D., 1999, Administrative Theory and Praxis, V21, P10
   Moulaert F, 2013, INTERNATIONAL HANDBOOK ON SOCIAL INNOVATION: COLLECTIVE ACTION, SOCIAL LEARNING AND TRANSDISCIPLINARY RESEARCH, P1, DOI 10.4337/9781849809993
   NelAlo Oriol., 2014, GEOGRAF A CRISIS EC, P565
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Palomera J, 2014, INT J URBAN REGIONAL, V38, P218, DOI 10.1111/1468-2427.12055
   Parés M, 2014, URBAN STUD, V51, P3250, DOI 10.1177/0042098013513647
   Parés M, 2012, URBAN AFF REV, V48, P238, DOI 10.1177/1078087411423352
   Putnam R. D., 1995, Bowling Alone: America's Declining Social Capital, V6, DOI 10.1353/jod.1995.0002
   Putnam R.D., 1993, Making democracy work: Civic traditions in modern Italy
   Raco M, 2012, URBAN STUD, V49, P1065, DOI 10.1177/0042098011415716
   Sampson RJ, 2002, ANNU REV SOCIOL, V28, P443, DOI 10.1146/annurev.soc.28.110601.141114
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Shinn C.W., 1999, Administrative Theory Praxis, V21, P103
   Stone C. N, 2006, THE PUBLIC SCH
   Stone CN, 2001, URBAN AFF REV, V36, P595, DOI 10.1177/10780870122185019
   Van Zandt S, 2012, HOUS POLICY DEBATE, V22, P29, DOI 10.1080/10511482.2011.624528
   Voss M., 2008, Behemoth: A Journal on Civilisation, V3, P39
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Walliser A, 2013, POLICY POLIT, V41, P329, DOI 10.1332/030557313X670109
   Wickes R, 2015, SOC SCI QUART, V96, P330, DOI 10.1111/ssqu.12144
   Williams D., 2002, J PUBLIC AFF, V6, P241
   Woolcock M., 2001, ISUMA CANADIAN J POL, V2, P1
   Yin RK., 2003, Qualitative research from start to finish, V3rd ed.
   Zautra A, 2008, COMMUNITY DEV, V39, P130, DOI 10.1080/15575330809489673
NR 61
TC 10
Z9 11
U1 1
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1535-6841
EI 1540-6040
J9 CITY COMMUNITY
JI City Community
PD MAR
PY 2018
VL 17
IS 1
BP 65
EP 86
DI 10.1111/cico.12287
PG 22
WC Sociology; Urban Studies
WE Social Science Citation Index (SSCI)
SC Sociology; Urban Studies
GA GA4QM
UT WOS:000428315200007
DA 2025-04-22
ER

PT J
AU Yin, XH
   Wu, JK
AF Yin, Xiaohong
   Wu, Jiakun
TI Research on the Performance Recovery Strategy Model of Hangzhou Metro
   Network Based on Complex Network and Tenacity Theory
SO SUSTAINABILITY
LA English
DT Article
DE complex network; metro; resilience; recovery strategy; genetic algorithm
ID RESILIENCE
AB Based on complex networks and resilience theory, the structural characteristics and post-disaster performance recovery process of the urban metro network are studied to determine the best repair strategy for metro network performance under different scenarios. Specifically: (1) The space-L method is used to model the Hangzhou metro network, and MATLAB software is used to calculate the characteristic parameter values of the Hangzhou metro network structure; (2) A model of the post-disaster resilience of the Hangzhou metro network was constructed, and network efficiency was used as the evaluation index of the resilience level and resilience of the metro network; (3) The performance recovery process of the metro network under different scenarios was simulated and the optimal recovery strategy of the post-disaster metro network was obtained. The results show that the degree values of the Hangzhou metro network nodes are all generally low; the average passage path between nodes is long and the nodes are scattered, which makes the convenience of residents' travel low. In addition, the degree index and the betweenness have some influence on the recovery order of the failed nodes. Finally, the genetic algorithm solves the post-disaster optimal recovery strategy of the metro network with good results.
C1 [Yin, Xiaohong; Wu, Jiakun] Liaoning Univ Technol, Sch Econ & Management, Jinzhou 121001, Peoples R China.
C3 Liaoning University of Technology
RP Wu, JK (corresponding author), Liaoning Univ Technol, Sch Econ & Management, Jinzhou 121001, Peoples R China.
EM 209808020@stu.lnut.edu.cn
OI Wu, Jiakun/0000-0003-1432-3727
FU Scientific Research Project of Education Department of Liaoning Province
   [LJKMR20220985]
FX This work is supported by Scientific Research Project of Education
   Department of Liaoning Province (LJKMR20220985).
CR Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cui X., 2023, URBAN RAPID RAIL TRA, V36, P93, DOI [10.3969/j.issn.1672-6073.2023.01.014, DOI 10.3969/J.ISSN.1672-6073.2023.01.014]
   Forestieri G., 2019, WIT T BUILT ENV, V186, P47, DOI [10.2495/UT190051, DOI 10.2495/UT190051]
   Bernal EF, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123486
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   [黄强兵 Huang Qiangbing], 2019, [地学前缘, Earth Science Frontiers], V26, P85
   [黄亚江 Huang Yajiang], 2021, [灾害学, Journal of Catastrophology], V36, P15
   [黄莺 Huang Ying], 2021, [灾害学, Journal of Catastrophology], V36, P32
   Jia Y.J., 2022, EARTHQ RESIST ENG RE, V44, P113, DOI [10.16226/j.issn.1002-8412.2022.06.016, DOI 10.16226/J.ISSN.1002-8412.2022.06.016]
   Jin J., 2022, MOD TUNN TECHNOL, V59, P322, DOI [10.13807/j.cnki.mtt.2022.S1.039, DOI 10.13807/J.CNKI.MTT.2022.S1.039]
   Lai qiang, 2022, Computer Engineering and Applications, P249, DOI 10.3778/j.issn.1002-8331.2011-0121
   Li H., 2020, Railw. Stn. Des, V64, P153, DOI [10.13238/j.issn.1004-2954.201904020008, DOI 10.13238/J.ISSN.1004-2954.201904020008]
   Li Ruiqi, 2020, Journal of Tsinghua University (Science and Technology), V60, P1, DOI 10.16511/j.cnki.qhdxxb.2019.21.039
   [李兆隆 Li Zhaolong], 2019, [系统工程理论与实践, Systems Engineering-Theory & Practice], V39, P2828
   Lin L., 2020, RAILW TRANSP EC, V42, P111, DOI [10.16668/j.cnki.issn.1003-1421.2020.12.19, DOI 10.16668/J.CNKI.ISSN.1003-1421.2020.12.19]
   [吕彪 Lv Biao], 2021, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V21, P198
   Mariñas-Collado I, 2021, ELECTRONICS-SWITZ, V10, DOI 10.3390/electronics10050557
   Marseglia G, 2022, SOCIO-ECON PLAN SCI, V82, DOI 10.1016/j.seps.2021.101222
   Pan H., 2022, BUILD STRUCT, V52, P826, DOI [10.19701/j.jzjg.22S1228, DOI 10.19701/J.JZJG.22S1228]
   [沈吟东 Shen Yindong], 2018, [系统工程学报, Journal of Systems Engineering], V33, P289
   Song S.X., 2017, J WUHAN U TECHNOL IN, V39, P125, DOI [10.3963/j.issn.2095-3852.2017.02.001, DOI 10.3963/J.ISSN.2095-3852.2017.02.001]
   [王莉 Wang Li], 2023, [安全与环境工程, Safety and Environmental Engineering], V30, P101
   [王娜 Wang Na], 2017, [遥感技术与应用, Remote Sensing Technology and Application], V32, P305
   Wu J.M., 2021, TUNN UNDERGR SP TECH, V40, P875
   [叶青 Ye Qing], 2012, [中国安全科学学报, China Safety Science Journal（CSSJ）], V22, P122
   Yi CQ, 2014, CHINA COMMUN, V11, P37, DOI 10.1109/CC.2014.6911086
   Yin C.C., 2014, URBAN MASS TRANSIT, V17, P78, DOI [10.16037/j.1007-869x.2014.06.010, DOI 10.16037/J.1007-869X.2014.06.010]
   Yu L., 2021, J. Mod. Inf., V41, P121
   [袁竞峰 Yuan Jingfeng], 2012, [中国安全科学学报, China Safety Science Journal（CSSJ）], V22, P92
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   [张洁斐 Zhang Jiefei], 2020, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V20, P14
   Zheng L.X., 2022, STAT DECIS, V38, P77, DOI [10.13546/j.cnki.tjyjc.2022.17.015, DOI 10.13546/J.CNKI.TJYJC.2022.17.015]
   [钟紫蓝 Zhong Zilan], 2022, [岩土工程学报, Chinese Journal of Geotechnical Engineering], V44, P2196
   Zhu Y.Y., 2021, J HARBIN U COMMER NA, V37, P450, DOI [10.19492/j.cnki.1672-0946.2021.04.010, DOI 10.19492/J.CNKI.1672-0946.2021.04.010]
NR 34
TC 5
Z9 5
U1 13
U2 76
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2023
VL 15
IS 8
AR 6613
DI 10.3390/su15086613
PG 15
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA E8KQ2
UT WOS:000977970700001
OA gold
DA 2025-04-22
ER

PT J
AU McManus, P
AF McManus, Phil
TI Geographic Connections: Language, Power Relations, and Relevance
SO GEOGRAPHICAL RESEARCH
LA English
DT Article
DE power; relevance; discourse; urban planning; Sydney; resilience;
   sustainability
ID SUSTAINABLE DEVELOPMENT; PUBLIC-POLICY; RESILIENCE
AB The interrogation of language is crucial in all sub-fields of geography and in related disciplines. This paper interrogates the terms nature, environment, sustainability, and resilience, given their importance in connecting geography with other academic pursuits and with people and organisations that make our discipline relevant. The paper explores how geography may be seen as relevant' while maintaining a constructively critical approach. It does so through the example of Sydney's metropolitan strategy/plan that was released in December 2014. The concept of resilience as defined and used in this new metropolitan plan fails to address transboundary issues such as climate change, raising concerns about sustainability. As such it serves the needs of political interests aligned with a growth agenda. This is one example highlighting that a challenge for many geographers is to maintain critical thinking while being relevant. It is an important challenge that geographers should relish.
C1 Univ Sydney, Sch Geosci, Sydney, NSW 2006, Australia.
C3 University of Sydney
RP McManus, P (corresponding author), Univ Sydney, Sch Geosci, Madsen Bldg F09, Sydney, NSW 2006, Australia.
EM phil.mcmanus@sydney.edu.au
OI McManus, Phil/0000-0002-3655-3841
CR Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Allison HE, 2004, ECOL SOC, V9
   [Anonymous], 1945, THESIS U CHICAGO
   [Anonymous], CENTURY BRIT GEOGRAP
   [Anonymous], METR STRAT IN PRESS
   [Anonymous], CIT CIT PLAN SYDN FU
   Barnes TJ, 2013, ANN ASSOC AM GEOGR, V103, P669, DOI 10.1080/00045608.2011.653732
   Barr S, 2012, LOCAL ENVIRON, V17, P525, DOI 10.1080/13549839.2012.676637
   Castree N., 2013, Making sense of nature
   Cork S, 2010, RESILIENCE AND TRANSFORMATION: PREPARING AUSTRALIA FOR UNCERTAIN FUTURES, P1
   Duncan R., 2007, Journal of Environmental Assessment Policy and Management, V9, P273, DOI 10.1142/S1464333207002792
   Fairclough Norman, 1995, Critical discourse analysis
   Finlayson B, 2015, GEOGR RES-AUST, V53, P119, DOI 10.1111/1745-5871.12114
   Foucault Michel., 1981, Untying the Text: A Poststructuralist Reader, P48
   Freestone R, 2014, GEOGR RES-AUST, V52, P280, DOI 10.1111/1745-5871.12069
   HARVEY D, 1974, T I BRIT GEOGR, P18, DOI 10.2307/621527
   Hinchliffe S., 2007, Geographies of nature
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Joakim EP, 2015, ENVIRON HAZARDS-UK, V14, P137, DOI 10.1080/17477891.2014.1003777
   Johnston R.J., 2004, Geography geographers: Anglo-American human geography since 1945, V6
   Kates R. W., 2012, S AUSTR GEOGRAPHICAL, V111, P43
   KATES RW, 1971, ECON GEOGR, V47, P438, DOI 10.2307/142820
   MANNING EW, 1990, CAN GEOGR-GEOGR CAN, V34, P290, DOI 10.1111/j.1541-0064.1990.tb01268.x
   Marcuse P, 2015, CITIES, V44, P152, DOI 10.1016/j.cities.2014.05.009
   Martin R, 2001, PROG HUM GEOG, V25, P189, DOI 10.1191/030913201678580476
   McCormick J., 1995, The global environmental movement
   McGuirk PM, 2005, GEOGR RES-AUST, V43, P59, DOI 10.1111/j.1745-5871.2005.00297.x
   McLoughlin J.Brian., 1992, SHAPING MELBOURNES F
   McManus P., 1996, Environmental Politics, V5, P48, DOI [10.1080/09644019608414247, DOI 10.1080/09644019608414247]
   McManus P., 2005, VORTEX CITIES SUSTAI, V1
   McManus P, 2006, ENVIRON URBAN, V18, P113, DOI 10.1177/0956247806063963
   McManus P, 2014, AUST GEOGR, V45, P559, DOI 10.1080/00049182.2014.953722
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   Milne M., 2009, ACCOUNT AUDIT ACCOUN, V22, P1211
   New South Wales Government, 2012, SYDN NEXT 20 YEARS D
   New South Wales Government, 2010, METR PLAN SYDN 2036
   New South Wales Government, 2014, PLAN GROW SYDN
   Pizzol M, 2015, J IND ECOL, V19, P296, DOI 10.1111/jiec.12254
   Radcliffe SA, 2010, PROG HUM GEOG, V34, P98, DOI 10.1177/0309132509338749
   Searle G., 2006, URBAN POLICY RES, V24, P553, DOI DOI 10.1080/08111140601035457
   Sorensen A., 2005, LAND USE RURAL SUSTA, P1
   Tadaki M, 2012, T I BRIT GEOGR, V37, P547, DOI 10.1111/j.1475-5661.2011.00495.x
   Wackernagel M., 1996, OUR ECOLOGICAL FOOTP, DOI 10.5070/g31710273
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wang JYT, 2015, CIV ENG ENVIRON SYST, V32, P180, DOI 10.1080/10286608.2015.1014810
   Ward K, 2005, PROG HUM GEOG, V29, P310, DOI 10.1191/0309132505ph551pr
   WATSON S, 1991, ENVIRON PLANN D, V9, P59, DOI 10.1068/d090059
   Whittaker J, 2012, J RURAL STUD, V28, P161, DOI 10.1016/j.jrurstud.2011.11.002
   WILBANKS TJ, 1994, ANN ASSOC AM GEOGR, V84, P541, DOI 10.1111/j.1467-8306.1994.tb01876.x
   Wilcock D, 2013, PROG PHYS GEOG, V37, P573, DOI 10.1177/0309133313483164
   Woods M., 2011, Dialogues in Human Geography, V1, P198
NR 51
TC 5
Z9 5
U1 0
U2 13
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1745-5863
EI 1745-5871
J9 GEOGR RES-AUST
JI Geogr. Res.
PD NOV
PY 2015
VL 53
IS 4
BP 349
EP 356
DI 10.1111/1745-5871.12152
PG 8
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA CU4RK
UT WOS:000363517200002
DA 2025-04-22
ER

PT J
AU Brinkley, C
AF Brinkley, Catherine
TI Cities as Coral Reefs: Using Rugosity to Measure Metabolism across the
   Urban Interface
SO ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
LA English
DT Article
DE edge effects; multifunctional agriculture; urban growth; urban
   morphology; urban planning
ID ALLOMETRIC SCALING LAWS; BUILT LANDSCAPES; AGRICULTURE; FOOD; GROWTH;
   MODEL; ECOSYSTEMS; AMERICA; IMPACTS; ECOLOGY
AB Drawing from ecology, this research translates the metric of rugosity to urban and agricultural studies. Typically used to estimate the topography of complex ecosystems, rugosity is an important edge proxy and provides simple correlates for total ecosystem metabolism, growth, and resilience. This research uses the perimeter of urban areas to estimate urban rugosity. The relationship between urban rugosity and vitality of both urban and periurban agricultural land uses is empirically explored through spatial multivariate analysis. Findings show that longer urban interfaces are associated with greater population growth and higher agricultural sales. The resulting county-level model predicts that for every kilometer of urban interface, the annual agricultural sales increase by similar to$230,000. Urban areas with interfaces less than 65km in length tended to lose population, and every kilometer of urban interface corresponded to a county population gain of roughly 250 people over the 2000 to 2010 time period. By showing a statistically significant positive relationship between the urban interface length and both population gain and agricultural productivity, this research lays the groundwork for future studies investigating how longer, less concentric urban interfaces might support the long-term vitality of both urban and agricultural areas alike.
C1 [Brinkley, Catherine] Univ Calif Davis, Dept Human Ecol, Davis, CA 95616 USA.
C3 University of California System; University of California Davis
RP Brinkley, C (corresponding author), Univ Calif Davis, Dept Human Ecol, Davis, CA 95616 USA.
EM ckbrinkley@ucdavis.edu
RI Brinkley, Catherine/E-3750-2016
CR AHERN J, 1995, LANDSCAPE URBAN PLAN, V33, P131, DOI 10.1016/0169-2046(95)02039-V
   Alvarez-Filip L, 2009, P ROY SOC B-BIOL SCI, V276, P3019, DOI 10.1098/rspb.2009.0339
   Amati M., 2008, URBAN GREEN BELTS 21
   Anas A, 2007, J URBAN ECON, V61, P263, DOI 10.1016/j.jue.2006.09.004
   Angel S., 2005, The dynamics of global urban expansion
   Angel S., 2012, ATLAS URBAN EXPANSIO
   [Anonymous], 2016, EC IMPACT LOCAL FOOD
   [Anonymous], 1925, URBAN ECOLOGY INT PE
   Anselin L, 2006, GEOGR ANAL, V38, P5, DOI 10.1111/j.0016-7363.2005.00671.x
   ANSELIN L, 1991, GEOGR ANAL, V23, P112, DOI 10.1111/j.1538-4632.1991.tb00228.x
   Anselin L, 1996, REG SCI URBAN ECON, V26, P77, DOI 10.1016/0166-0462(95)02111-6
   ANSELIN L, 1988, GEOGR ANAL, V20, P1, DOI 10.1111/j.1538-4632.1988.tb00159.x
   Anselin L, 2003, INT REGIONAL SCI REV, V26, P153, DOI 10.1177/0160017602250972
   ANSELIN L., 2003, Urbana, V51, P61801
   Anselin L., 1995, New Directions in Spatial Econometrics, P21, DOI [10.1007/978-3-642-79877-1_2, 10.1007/978-3-642-79877-12, DOI 10.1007/978-3-642-79877-12]
   Anselin Luc., 2005, Urbana, V51, P61801, DOI DOI 10.1111/J.1435-5957.2010.00279.X/FULL
   ARROW K, 1995, SCIENCE, V268, P520, DOI 10.1126/science.268.5210.520
   AYRES RU, 1969, AM ECON REV, V59, P282
   Baccini P, 1997, J URBAN TECHNOL, V4, P27, DOI 10.1080/10630739708724555
   Baccini P., 1991, METABOLISM ANTHROPOS
   Bergstrom JC, 2009, REV AGR ECON, V31, P21, DOI 10.1111/j.1467-9353.2008.01424.x
   Bettencourt LMA, 2008, EUR PHYS J B, V63, P285, DOI 10.1140/epjb/e2008-00250-6
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Blumenfeld H, 1949, LAND ECON, V25, P209, DOI 10.2307/3144764
   Bogue D.J., 1956, METROPOLITAN GROWTH
   Brinkley C, 2018, J PLAN LIT, V33, P143, DOI 10.1177/0885412217726772
   Brinkley C, 2018, LAND USE POLICY, V73, P215, DOI 10.1016/j.landusepol.2018.01.024
   Brinkley C, 2017, J RURAL STUD, V54, P314, DOI 10.1016/j.jrurstud.2017.06.023
   Brinkley C, 2012, J PLAN LIT, V27, P259, DOI 10.1177/0885412211435172
   BRUECKNER JK, 1983, REV ECON STAT, V65, P479, DOI 10.2307/1924193
   Carlino GA, 2007, J URBAN ECON, V61, P389, DOI 10.1016/j.jue.2006.08.003
   Chapman MR, 1999, MAR ECOL PROG SER, V181, P81, DOI 10.3354/meps181081
   Cousins JJ, 2015, GEOFORUM, V58, P38, DOI 10.1016/j.geoforum.2014.10.011
   Cronon W, 1991, NATURES METROPOLIS C, DOI [10.2307/3984930, DOI 10.2307/3984930]
   Duany A, 2002, J AM PLANN ASSOC, V68, P245, DOI 10.1080/01944360208976271
   Edinger EN, 2000, BIOL CONSERV, V92, P1, DOI 10.1016/S0006-3207(99)00067-1
   Fábos JG, 2004, LANDSCAPE URBAN PLAN, V68, P321, DOI 10.1016/j.landurbplan.2003.07.003
   Forshaw JH., 1943, COUNTY LONDON PLAN
   Friedlander AM, 1998, J EXP MAR BIOL ECOL, V224, P1, DOI 10.1016/S0022-0981(97)00164-0
   Golubiewski N, 2012, AMBIO, V41, P751, DOI 10.1007/s13280-011-0232-7
   GOREAU TF, 1959, BIOL BULL-US, V117, P239, DOI 10.2307/1538903
   Guthman Julie., 2014, Agrarian Dreams: The Paradox of Organic Farming in California, V2nd
   Han WG, 2012, COMPUT ELECTRON AGR, V84, P111, DOI 10.1016/j.compag.2012.03.005
   Hanemann W.M., 2007, CALIFORNIA CAME PASS
   HART JF, 1976, GEOGR REV, V66, P1, DOI 10.2307/213311
   HART JF, 1991, GEOGR REV, V81, P35, DOI 10.2307/215175
   Heynen NikolasC., 2006, In the Nature of Cities, P1, DOI DOI 10.4324/9780203027523
   Hiner CC, 2016, PROF GEOGR, V68, P520, DOI 10.1080/00330124.2016.1198264
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Jacobs J., 1969, EC CITIES
   Jacobs Jane., 1985, CITIES WEALTH NATION
   KYBA CCM, 2015, SCI REPORTS, V5
   Levin S, 2013, ENVIRON DEV ECON, V18, P111, DOI 10.1017/S1355770X12000460
   LINEHAN J, 1995, LANDSCAPE URBAN PLAN, V33, P179, DOI 10.1016/0169-2046(94)02017-A
   Liu ZF, 2014, LANDSCAPE ECOL, V29, P763, DOI 10.1007/s10980-014-0034-y
   Lobo J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058407
   Mattei U., 2015, The Italian Law Journal, V1, P303
   MCCORMICK MI, 1994, MAR ECOL PROG SER, V112, P87, DOI 10.3354/meps112087
   Meinel G., 2002, GEOINFORMATION EUROP, V4, P2002
   Newell JP, 2015, PROG HUM GEOG, V39, P702, DOI 10.1177/0309132514558442
   Nguyen Xuan Thinh, 2001, Sustainability in the Information Society. 15th International Symposium Informatics for Environmental Protection, P559
   Oakes J Michael, 2007, Epidemiol Perspect Innov, V4, P16, DOI 10.1186/1742-5573-4-16
   ODUM EP, 1968, AM ZOOL, V8, P11
   Pender J.L., 2014, Rural wealth creation
   Ravenscroft N, 2000, URBAN STUD, V37, P2533, DOI 10.1080/00420980020080681
   Reinberger M., 1997, GEORGIA HIST QUART, V81, P839
   Rigg J, 1998, PROG HUM GEOG, V22, P497, DOI 10.1191/030913298667432980
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Schmit TM, 2016, ECON DEV Q, V30, P316, DOI 10.1177/0891242416657156
   Shillington LJ, 2013, GEOFORUM, V44, P103, DOI 10.1016/j.geoforum.2012.02.006
   Shumway CA, 2007, FRESHWATER BIOL, V52, P1065, DOI 10.1111/j.1365-2427.2007.01754.x
   Smith ME, 2014, INT J URBAN REGIONAL, V38, P1525, DOI 10.1111/1468-2427.12138
   SOKOLOW AD, 2003, CALIFORNIA AGR DIMEN
   Sorensen A.A., 1997, FARMING EDGE
   Sorokin PitirimAleksandrovich., 1929, PRINCIPLES RURAL URB
   SOUTHWORTH M, 1993, J AM PLANN ASSOC, V59, P271, DOI 10.1080/01944369308975880
   Storper M., 2015, RISE FALL URBAN EC L
   Swyngedouw E, 2003, ANTIPODE, V35, P898, DOI 10.1111/j.1467-8330.2003.00364.x
   Swyngedouw Erik., 2006, SCI CULT-UK, V15, P105, DOI [10.1080/09505430600707970, DOI 10.1080/09505430600707970]
   Taylor PJ, 2012, INT J URBAN REGIONAL, V36, P415, DOI 10.1111/j.1468-2427.2011.01101.x
   Thinh NX, 2003, 17 INT C INF ENV PRO, P253
   Thomas JK, 2003, RURAL SOCIOL, V68, P366, DOI 10.1111/j.1549-0831.2003.tb00142.x
   Turner T, 2006, LANDSCAPE URBAN PLAN, V76, P240, DOI 10.1016/j.landurbplan.2004.09.035
   US Department of Agriculture Economic Research Service, 2000, NAT AM SCOR
   US Department of Agriculture Economic Research Service, 2010, COUNT TYP SCOR
   US Department of Agriculture Economic Research Service, 2018, ERS CHARTS NOT
   Vitiello D, 2014, J PLAN HIST, V13, P91, DOI 10.1177/1538513213507541
   Walker PeterA., 2011, PLANNING PARADISE PO
   West GB, 2005, J EXP BIOL, V208, P1575, DOI 10.1242/jeb.01589
   West GB, 1997, SCIENCE, V276, P122, DOI 10.1126/science.276.5309.122
   Wheeler SM, 2008, J PLAN EDUC RES, V27, P400, DOI 10.1177/0739456X08315889
   Wheeler SM, 2015, J AM PLANN ASSOC, V81, P167, DOI 10.1080/01944363.2015.1081567
   WOLMAN A, 1965, SCI AM, V213, P179
   Zasada I, 2011, LAND USE POLICY, V28, P639, DOI 10.1016/j.landusepol.2011.01.008
NR 94
TC 2
Z9 2
U1 0
U2 23
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2469-4452
EI 2469-4460
J9 ANN AM ASSOC GEOGR
JI Ann. Am. Assoc. Geogr.
PD SEP 3
PY 2019
VL 109
IS 5
BP 1541
EP 1559
DI 10.1080/24694452.2019.1573133
PG 19
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA IS7CO
UT WOS:000482307800012
DA 2025-04-22
ER

PT J
AU Zhang, WX
   Wen, JN
   Dong, HH
   Han, Q
   Du, XL
AF Zhang, Wangxin
   Wen, Jianian
   Dong, Huihui
   Han, Qiang
   Du, Xiuli
TI Post-earthquake functionality and resilience prediction of bridge
   networks based on data-driven machine learning method
SO SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
LA English
DT Article
DE Bridge networks; Seismic resilience; Stacking ensemble; Data-driven
   prediction
ID TRANSPORTATION NETWORK; SEISMIC RISK; OPTIMIZATION; ALGORITHM; DAMAGE
AB Earthquake-induced bridge damage can disrupt transportation networks, potentially hindering emergency response and post-disaster recovery efforts, and posing public safety risks in affected areas. Rapid and accurate assessment of post-earthquake resilience of bridge networks is crucial for evaluating urban seismic performance. Traditional resilience assessment methods, constrained by complex traffic distribution processes, struggle to quickly evaluate the traffic performance of bridge networks during the post-earthquake recovery period. This paper presents a two-layer stacking ensemble model for predicting the functionality and resilience of bridge networks. The first layer integrates advantages of four base learners, including random forest (RF), artificial neural network (ANN), convolutional neural network (CNN), and extreme gradient boosting (XGBoost). The second layer completes regression of functionality based on a support vector machine (SVM). Bayesian optimization and 5-fold cross-validation are employed for hyperparameter tuning of the ensemble model. Finally, the proposed model is validated using the Sioux-Falls bridge network. Results demonstrate that the developed model provides rapid predictions of post-earthquake network functionality and resilience. Additionally, this model can guide post-earthquake repair decisions and assist in optimizing the allocation of regional repair resources.
C1 [Zhang, Wangxin; Wen, Jianian; Dong, Huihui; Han, Qiang; Du, Xiuli] Beijing Univ Technol, State Key Lab Bridge Safety & Resilience, Beijing 100124, Peoples R China.
C3 Beijing University of Technology
RP Wen, JN (corresponding author), Beijing Univ Technol, State Key Lab Bridge Safety & Resilience, Beijing 100124, Peoples R China.
EM wenjianian1990@163.com
FU National Key R & D Program of China [2022YFB2602500]; National Natural
   Sci-ence Foundation of China (NSFC) [52338010, 52108430]
FX The research reported in this article is sponsored by the National Key R
   & D Program of China (No. 2022YFB2602500) , National Natural Sci-ence
   Foundation of China (NSFC) (Grants No. 52338010, 52108430) .
CR [Anonymous], 2020, Hazus Earthquake Model Technical Manual Hazus 4.2 SP3
   Bagriacik A, 2018, SOIL DYN EARTHQ ENG, V112, P76, DOI 10.1016/j.soildyn.2018.05.010
   Banerjee S, 2019, STRUCT INFRASTRUCT E, V15, P1694, DOI 10.1080/15732479.2019.1648526
   Beckmann M., 1956, Studies in the Economics of Transportation
   Bocchini P, 2012, EARTHQ SPECTRA, V28, P427, DOI 10.1193/1.4000019
   Bocchini P, 2012, J BRIDGE ENG, V17, P117, DOI 10.1061/(ASCE)BE.1943-5592.0000201
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Calabrese A, 2013, SOIL DYN EARTHQ ENG, V52, P88, DOI 10.1016/j.soildyn.2013.05.002
   Chelgani SC, 2021, INT J MIN SCI TECHNO, V31, P1135, DOI 10.1016/j.ijmst.2021.10.006
   Chen LK, 2023, ENG STRUCT, V276, DOI 10.1016/j.engstruct.2022.115306
   Chen MD, 2023, ENG STRUCT, V289, DOI 10.1016/j.engstruct.2023.116301
   Chen MDE, 2022, EARTHQ ENG STRUCT D, V51, P3097, DOI 10.1002/eqe.3715
   Chen TQ, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P785, DOI 10.1145/2939672.2939785
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1023/A:1022627411411
   Cui SZ, 2021, APPL SOFT COMPUT, V101, DOI 10.1016/j.asoc.2020.107038
   Cutter SL, 2013, ENVIRONMENT, V55, P25, DOI 10.1080/00139157.2013.768076
   Fang C, 2020, J BRIDGE ENG, V25, DOI 10.1061/(ASCE)BE.1943-5592.0001554
   Farooq F, 2021, J CLEAN PROD, V292, DOI 10.1016/j.jclepro.2021.126032
   Forcellini D, 2023, B EARTHQ ENG, V21, P3521, DOI 10.1007/s10518-023-01662-6
   Frank M., 1956, NAVAL RES LOGIST QUA, V3, P95, DOI [10.1002/nav.3800030109, DOI 10.1002/NAV.3800030109]
   Garzón A, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031808
   Gu JX, 2018, PATTERN RECOGN, V77, P354, DOI 10.1016/j.patcog.2017.10.013
   Guo AX, 2017, STRUCT INFRASTRUCT E, V13, P1523, DOI 10.1080/15732479.2017.1299770
   Guo W, 2024, SOIL DYN EARTHQ ENG, V179, DOI 10.1016/j.soildyn.2024.108535
   Han Q, 2009, EARTHQ ENG ENG VIB, V8, P263, DOI 10.1007/s11803-009-8162-0
   Ishibashi H, 2021, STRUCT INFRASTRUCT E, V17, P494, DOI 10.1080/15732479.2020.1843503
   Karamlou A, 2016, ENG STRUCT, V117, P591, DOI 10.1016/j.engstruct.2016.03.038
   Kilanitis I, 2019, B EARTHQ ENG, V17, P181, DOI 10.1007/s10518-018-0457-y
   Krogh A, 2008, NAT BIOTECHNOL, V26, P195, DOI 10.1038/nbt1386
   Lee YJ, 2011, STRUCT INFRASTRUCT E, V7, P509, DOI 10.1080/15732479.2010.493338
   Lei WH, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31911-2
   Lei XM, 2022, ENG STRUCT, V266, DOI 10.1016/j.engstruct.2022.114581
   Li L, 2023, ADV ENG INFORM, V58, DOI 10.1016/j.aei.2023.102130
   Liu KZ, 2021, STRUCT INFRASTRUCT E, V17, P1141, DOI 10.1080/15732479.2020.1801764
   Liu Leilei, 2024, Underground Space, V17, P25, DOI 10.1016/j.undsp.2023.11.002
   Liu T, 2024, Arxiv, DOI arXiv:2210.06404
   Liu ZL, 2022, ENG STRUCT, V260, DOI 10.1016/j.engstruct.2022.114395
   Liu ZL, 2022, SOIL DYN EARTHQ ENG, V159, DOI 10.1016/j.soildyn.2022.107326
   Liu ZY, 2023, EUR J OPER RES, V310, P1072, DOI 10.1016/j.ejor.2023.04.008
   Loh C., 2002, EARTHQ ENG ENG VIB, V1, P86
   Lu PZ, 2024, ENG APPL ARTIF INTEL, V127, DOI 10.1016/j.engappai.2023.107194
   Mangalathu S, 2022, ENG STRUCT, V250, DOI 10.1016/j.engstruct.2021.112883
   Mangalathu S, 2020, J STRUCT ENG, V146, DOI 10.1061/(ASCE)ST.1943-541X.0002831
   Mangalathu S, 2019, J STRUCT ENG, V145, DOI 10.1061/(ASCE)ST.1943-541X.0002402
   Martin WA, 1998, Travel estimation techniques for urban planning
   Nhat-Duc H, 2023, AUTOMAT CONSTR, V148, DOI 10.1016/j.autcon.2023.104767
   Nie Y, 2010, TRANSPORT RES B-METH, V44, P73, DOI 10.1016/j.trb.2009.06.005
   Nielson BG, 2007, EARTHQ SPECTRA, V23, P615, DOI 10.1193/1.2756815
   Ozkaynak MI, 2024, ENG GEOL, V335, DOI 10.1016/j.enggeo.2024.107512
   Pang YT, 2021, J STRUCT ENG, V147, DOI 10.1061/(ASCE)ST.1943-541X.0002953
   Ramanathan K, 2012, ENG STRUCT, V45, P559, DOI 10.1016/j.engstruct.2012.07.004
   Roy KC, 2021, TRANSPORT RES C-EMER, V131, DOI 10.1016/j.trc.2021.103339
   Shinozuka M., 2008, Socio-economic effect of seismic retrofit implemented on bridges in the Los Angeles highway network
   Sun JR, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102455
   Taffese WZ, 2024, ENG STRUCT, V305, DOI 10.1016/j.engstruct.2024.117705
   Tao WF, 2021, STRUCT INFRASTRUCT E, V17, P62, DOI 10.1080/15732479.2020.1730410
   Todorov B, 2022, STRUCTURES, V41, P1190, DOI 10.1016/j.istruc.2022.05.067
   Toro G.R., 1997, Seismological Research Let, V68, P41, DOI [10.1785/gssrl.68.1.41, DOI 10.1785/GSSRL.68.1.41]
   Wang C, 2023, ENG STRUCT, V276, DOI 10.1016/j.engstruct.2022.115392
   Wang J, 2024, Bridge Maintenance, Safety, Management, Digitalization and Sustainability, P1902
   Wang SA, 2013, TRANSPORT RES B-METH, V50, P42, DOI 10.1016/j.trb.2013.01.006
   Wang XW, 2022, J STRUCT ENG, V148, DOI 10.1061/(ASCE)ST.1943-541X.0003392
   Wardrop J.G., 1952, Proceedings of the Institute of Civil Engineers, P325, DOI 10.1680/ipeds.1952.11259
   Xu JG, 2022, EARTHQ ENG STRUCT D, V51, P2730, DOI 10.1002/eqe.3699
   Zanini MA, 2017, ENG STRUCT, V136, P219, DOI 10.1016/j.engstruct.2017.01.029
   Zhang LV, 2022, CONSTR BUILD MATER, V316, DOI 10.1016/j.conbuildmat.2021.126103
   Zhang WX, 2024, J INFRASTRUCT SYST, V30, DOI 10.1061/JITSE4.ISENG-2430
   Zhang WX, 2024, STRUCT INFRASTRUCT E, DOI 10.1080/15732479.2024.2347496
   Zhang WX, 2024, TRANSPORT RES A-POL, V183, DOI 10.1016/j.tra.2024.104078
   Zhang WX, 2025, STRUCT INFRASTRUCT E, V21, P341, DOI 10.1080/15732479.2023.2218838
   Zhang WL, 2017, STRUCT INFRASTRUCT E, V13, P1404, DOI 10.1080/15732479.2016.1271813
   Zhong J, 2024, ENG STRUCT, V309, DOI 10.1016/j.engstruct.2024.118035
   Zhou C, 2023, ENG STRUCT, V292, DOI 10.1016/j.engstruct.2023.116539
   Zhou J, 2023, UNDERGR SPACE, V9, P234, DOI 10.1016/j.undsp.2022.08.002
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   Zhu LP, 2024, EXPERT SYST APPL, V237, DOI 10.1016/j.eswa.2023.121782
   Zhu YT, 2024, SOIL DYN EARTHQ ENG, V187, DOI 10.1016/j.soildyn.2024.108991
NR 79
TC 1
Z9 1
U1 23
U2 23
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0267-7261
EI 1879-341X
J9 SOIL DYN EARTHQ ENG
JI Soil Dyn. Earthq. Eng.
PD MAR
PY 2025
VL 190
AR 109127
DI 10.1016/j.soildyn.2024.109127
EA DEC 2024
PG 15
WC Engineering, Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA U9M5E
UT WOS:001414945700001
DA 2025-04-22
ER

PT J
AU Deng, Y
   Jiang, WY
   Wang, ZY
AF Deng, Yue
   Jiang, Wanyi
   Wang, Zeyu
TI Economic resilience assessment and policy interaction of coal resource
   oriented cities for the low carbon economy based on AI
SO RESOURCES POLICY
LA English
DT Article
DE Low -carbon economy; Coal -resource -oriented cities; Economic
   resilience; Economic architecture; AI
AB This study aims to evaluate the economic growth of coal-resource-oriented cities under Low-Carbon (LC) economic growth. The public participation mechanisms are promoted, and the vitality of the economic market of resource-oriented cities is enhanced by increasing the intervention of government policies. Firstly, the context of the coal-resource-oriented cities and LC economy are analysed. Secondly, an economic resilience assessment system for coal-resource-oriented cities is established, characterized by traditional and high-tech industries through the analysis of the condition of resource-oriented cities. Finally, in the process of optimizing and managing the economic structure, the assessment of the LC evolution path of resource-oriented cities is strengthened through the extensive participation of the general public. The results show that the economic resilience level of coal-resource-oriented and traditional cities fluctuates and increases from 2011 to 2021. In 2011, the economic resilience index of traditional cities and coal-resource-oriented cities was 0.11and 0.22. By 2021, traditional cities' and coal-resource-oriented cities' economic resilience assessment stability was 0.527 and 0.562. This study has pivotal reference value for promoting urban resource management and economic efficiency.
C1 [Deng, Yue; Jiang, Wanyi] Wuhan Univ, Inst Qual Dev Strategy, Wuhan 430072, Hubei, Peoples R China.
   [Deng, Yue] Zhongnan Univ Econ & Law, Populat & Hlth Res Ctr, Wuhan 430073, Hubei, Peoples R China.
   [Wang, Zeyu] Guangzhou Univ, Sch Publ Adm, Guangzhou 510006, Guangdong, Peoples R China.
C3 Wuhan University; Zhongnan University of Economics & Law; Guangzhou
   University
RP Wang, ZY (corresponding author), Guangzhou Univ, Sch Publ Adm, Guangzhou 510006, Guangdong, Peoples R China.
EM dengyue@whu.edu.cn; jwanyi1026@163.com; theowang@gzhu.edu.cn
RI Wang, Zeyu/HSG-5198-2023; Jiang, Wanyi/AAE-3684-2022
OI Wang, Zeyu/0000-0001-7413-7665
CR Andersen A.D., 2018, INNOV DEV, V8, P1, DOI [10.1080/2157930X.2018.1439293, DOI 10.1080/2157930X.2018.1439293]
   Batty M, 2020, ENVIRON PLAN B-URBAN, V47, P547, DOI 10.1177/2399808320926912
   Brokalaki Zafeirenia., 2021, City, V25, P396, DOI DOI 10.1080/13604813.2021.1935766
   Bulut NS, 2019, PSYCHIAT CLIN PSYCH, V29, P587, DOI 10.1080/24750573.2018.1505281
   Deng XZ, 2021, J GEOGR SCI, V31, P437, DOI 10.1007/s11442-021-1852-x
   Di Pietro F, 2021, SPAT ECON ANAL, V16, P287, DOI 10.1080/17421772.2020.1846768
   Fagerberg J, 2018, RES POLICY, V47, P1568, DOI 10.1016/j.respol.2018.08.012
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Gazzola P, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072809
   Ionescu L., 2021, GEOPOLIT HIST INT RE, V13, P86
   Jiang WY, 2019, ARAB J GEOSCI, V12, DOI 10.1007/s12517-019-4888-9
   Jing ZR, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121510
   Li WJ, 2021, ENVIRON SCI POLLUT R, V28, P68679, DOI 10.1007/s11356-021-15465-2
   Liu K, 2021, ENVIRON SCI POLLUT R, V28, P6898, DOI 10.1007/s11356-020-11051-0
   Liu Y, 2020, J ENVIRON MANAGE, V274, DOI 10.1016/j.jenvman.2020.111042
   Louche C, 2019, ORGAN ENVIRON, V32, P3, DOI 10.1177/1086026619831516
   Madaleno M, 2022, URBAN STUD, V59, P281, DOI 10.1177/00420980211004209
   Mensah J, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1653531
   Murshed M, 2021, ENVIRON SCI POLLUT R, V28, P67689, DOI 10.1007/s11356-021-15352-w
   Pretorius O, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052674
   Saputro G.E., 2022, NASIONALISM INTEGRIT, V8, P109, DOI [10.33172/jp.v8i1.1587, DOI 10.33172/JP.V8I1.1587]
   Sarker M.N.I., 2018, Low Carbon Econ., V9, P18, DOI [10.4236/lce.2018.91002, DOI 10.4236/LCE.2018.91002]
   Surya B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031165
   Wang N, 2018, J CLEAN PROD, V180, P876, DOI 10.1016/j.jclepro.2018.01.089
   Wang Y, 2021, J CLEAN PROD, V278, DOI 10.1016/j.jclepro.2020.123443
   Wang ZY, 2022, COMPUT INTEL NEUROSC, V2022, DOI 10.1155/2022/2914936
   Xiao Y, 2021, ENVIRON SCI POLLUT R, V28, P66327, DOI 10.1007/s11356-021-15740-2
   Yang WJ, 2019, CARBON BAL MANAGE, V14, DOI 10.1186/s13021-019-0130-z
   Yu JH, 2019, J GEOGR SCI, V29, P1300, DOI 10.1007/s11442-019-1660-8
   Zhang Y, 2019, SUSTAIN DEV, V27, P130, DOI 10.1002/sd.1884
NR 30
TC 35
Z9 37
U1 33
U2 115
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0301-4207
EI 1873-7641
J9 RESOUR POLICY
JI Resour. Policy
PD MAY
PY 2023
VL 82
AR 103522
DI 10.1016/j.resourpol.2023.103522
EA MAR 2023
PG 8
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA D9RO5
UT WOS:000972030000001
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Hong, B
   Bonczak, BJ
   Gupta, A
   Kontokosta, CE
AF Hong, Boyeong
   Bonczak, Bartosz J.
   Gupta, Arpit
   Kontokosta, Constantine E.
TI Measuring inequality in community resilience to natural disasters using
   large-scale mobility data
SO NATURE COMMUNICATIONS
LA English
DT Article
ID BILLION-DOLLAR WEATHER; URBAN RESILIENCE; HURRICANE HARVEY; BIG DATA;
   CLIMATE; EVACUATION; SYSTEMS
AB While conceptual definitions provide a foundation for the study of disasters and their impacts, the challenge for researchers and practitioners alike has been to develop objective and rigorous measures of resilience that are generalizable and scalable, taking into account spatiotemporal dynamics in the response and recovery of localized communities. In this paper, we analyze mobility patterns of more than 800,000 anonymized mobile devices in Houston, Texas, representing approximately 35% of the local population, in response to Hurricane Harvey in 2017. Using changes in mobility behavior before, during, and after the disaster, we empirically define community resilience capacity as a function of the magnitude of impact and time-to-recovery. Overall, we find clear socioeconomic and racial disparities in resilience capacity and evacuation patterns. Our work provides new insight into the behavioral response to disasters and provides the basis for data-driven public sector decisions that prioritize the equitable allocation of resources to vulnerable neighborhoods. Understanding how cities respond to extreme weather is critical; as such events are becoming more frequent. Using anonymized mobile phone data for Houston, Texas during Hurricane Harvey in 2017, the authors find that mobility behavior exposes neighborhood disparities in resilience capacity and recovery.
C1 [Hong, Boyeong; Bonczak, Bartosz J.; Kontokosta, Constantine E.] NYU, Marron Inst Urban Management, New York, NY 10003 USA.
   [Gupta, Arpit] NYU, Stern Sch Business, New York, NY USA.
   [Kontokosta, Constantine E.] NYU, Ctr Urban Sci & Progress, Brooklyn, NY 11201 USA.
C3 New York University; New York University; New York University
RP Kontokosta, CE (corresponding author), NYU, Marron Inst Urban Management, New York, NY 10003 USA.; Kontokosta, CE (corresponding author), NYU, Ctr Urban Sci & Progress, Brooklyn, NY 11201 USA.
EM ckontokosta@nyu.edu
OI Kontokosta, Constantine/0000-0003-4831-9996; Bonczak,
   Bartosz/0000-0003-4107-4711
FU National Science Foundation [2028687]; NYU C2SMART, a USDOT Tier 1
   University Transportation Center; Directorate For Engineering; Div Of
   Chem, Bioeng, Env, & Transp Sys [2028687] Funding Source: National
   Science Foundation
FX This work was supported by the National Science Foundation, Grant No.
   2028687, and from NYU C2SMART, a USDOT Tier 1 University Transportation
   Center. Any opinions, findings, and conclusions expressed in this paper
   are those of authors and do not necessarily reflect the views of any
   supporting institution. All errors remain the authors. A preliminary
   version of this paper was presented at the 2019 INFORMS (The Institute
   for Operations Research and the Management Sciences) annual conference.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Ahas R., 2009, LOCATION BASED SERVI, P301, DOI DOI 10.1007/978-3-540-87393-8_18
   Akter S, 2019, ANN OPER RES, V283, P939, DOI 10.1007/s10479-017-2584-2
   [Anonymous], The elements of statistical learning: data mining, inference, and prediction, DOI DOI 10.1007/978-0-387-21606-514
   Batty Michael, 2013, Dialogues Hum Geogr, V3, P274, DOI 10.1177/2043820613513390
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chow NA, 2019, MMWR-MORBID MORTAL W, V68, P469, DOI 10.15585/mmwr.mm6821a1
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cimellaro GP, 2016, GEOTECH GEOL EARTHQ, V41, P1, DOI 10.1007/978-3-319-30656-8
   Dabson B., 2012, Research and Policy Brief
   Deal B, 2017, J URBAN TECHNOL, V24, P29, DOI 10.1080/10630732.2017.1285018
   Emanuel K, 2017, P NATL ACAD SCI USA, V114, P12681, DOI 10.1073/pnas.1716222114
   Ester M., 1996, KDD-96 Proceedings. Second International Conference on Knowledge Discovery and Data Mining, P226
   Freeman M, 2011, J CASES INF TECHNOL, V13, P69, DOI 10.4018/jcit.2011040105
   GoF, 2017, Global Assessment Report on Disaster Risk Reduction 'Risk and Poverty in a Changing Climate: Invest Today for a Safer Tomorrow'
   Guy M, 2010, LECT NOTES COMPUT SC, V6065, P42
   Harris County Flood Control District, 2018, HURR HARV FIN REP
   Houston Health Department, 2017, HURR HARV 2017 HOUST
   Hughes AL, 2009, INT J EMERG MANAG, V6, P248, DOI 10.1504/IJEM.2009.031564
   Hung HC, 2016, LAND USE POLICY, V50, P48, DOI 10.1016/j.landusepol.2015.08.029
   Jiang S, 2017, IEEE T BIG DATA, V3, P208, DOI 10.1109/TBDATA.2016.2631141
   Jiang Shan, 2013, P 2 ACM SIGKDD INT W, P2
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Kontokosta CE, 2021, J PLAN EDUC RES, V41, P382, DOI 10.1177/0739456X18793716
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Kryvasheyeu Y, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500779
   Lindell MK, 2007, J URBAN PLAN DEV, V133, P18, DOI 10.1061/(ASCE)0733-9488(2007)133:1(18)
   Lindell MK, 2011, NAT HAZARDS, V58, P1093, DOI 10.1007/s11069-011-9715-x
   Liu H, 2015, IEEE COMMUN MAG, V53, P71, DOI 10.1109/MCOM.2015.7060485
   Marks E, 2018, 1 YEAR STORM TEXAS G
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mendelsohn R, 2012, NAT CLIM CHANGE, V2, P205, DOI 10.1038/NCLIMATE1357
   Morss RE, 2011, ANNU REV ENV RESOUR, V36, P1, DOI 10.1146/annurev-environ-060809-100145
   Murphy J.D., 2018, SERVICE ASS AUG SEPT
   National Centers for Environmental Information, 2020, BILL DOLL WEATH CLIM
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Risser MD, 2017, GEOPHYS RES LETT, V44, P12457, DOI 10.1002/2017GL075888
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Smith AB, 2015, NAT HAZARDS, V77, P1829, DOI 10.1007/s11069-015-1678-x
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   Solis D., 2010, J DEV AGR EC, V2, P188, DOI DOI 10.5897/JDAE.9000010
   Toole J. L., 2012, P ACM SIGKDD INT WOR, P1, DOI DOI 10.1145/2346496.2346498
   Toole JL, 2015, TRANSPORT RES C-EMER, V58, P162, DOI 10.1016/j.trc.2015.04.022
   van Oldenborgh GJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa9ef2
   Vecchi GA, 2007, NATURE, V450, P1066, DOI 10.1038/nature06423
   Wang D., 2014, ENCYCL SOC NETW ANAL, V1, P1914, DOI [10.1007/978-1-4614-6170-8_293, DOI 10.1007/978-1-4614-6170-8_293]
   Wang Q, 2015, PROCEDIA ENGINEER, V118, P942, DOI 10.1016/j.proeng.2015.08.535
   Watts D., 2013, PUBLIC RESPONSE ALER, P22
   Whitehead J.C., 2000, Environmental Hazards, V2, P133, DOI [10.1016/S1464-2867(01)00013-4, DOI 10.1016/S1464-2867(01)00013-4, 10.3763/ehaz.2000.0219]
   Wilmot C., 2004, Natural Hazards Review, V5, P170, DOI [10.1061/(ASCE)1527-6988(2004)5:4(170), DOI 10.1061/(ASCE)1527-6988(2004)5:4(170)]
   Wu HC, 2012, TRANSPORT RES F-TRAF, V15, P445, DOI 10.1016/j.trf.2012.03.005
   Zander KK, 2019, GLOBAL ENVIRON CHANG, V56, P18, DOI 10.1016/j.gloenvcha.2019.03.004
   Zhang W, 2018, NATURE, V563, P384, DOI 10.1038/s41586-018-0676-z
NR 54
TC 120
Z9 128
U1 69
U2 240
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD MAR 25
PY 2021
VL 12
IS 1
AR 1870
DI 10.1038/s41467-021-22160-w
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA RK0IP
UT WOS:000637989400021
PM 33767142
OA gold, Green Published
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Bingeman, K
   Berkes, F
   Gardner, JS
AF Bingeman, K
   Berkes, F
   Gardner, JS
TI Institutional responses to development pressures: Resilience of
   social-ecological systems in Himachal Pradesh, India
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE resilience; institutions; India; forest; management; sustainability
ID SUSTAINABILITY; MANAGEMENT
AB In the Kullu District, Himachal Pradesh, India, economic and urban growth, and diversification have increased pressure on forests and forest-based social-ecological systems. As in many Himalayan regions, livelihood sustainability is linked to forest resources, products and services. Recent development in the region, to which these systems may be vulnerable, brings into question environmental and livelihood sustainability. This paper examines the resilience of integrated systems of people and nature, or social-ecological systems, in the face of development pressures by evaluating a number of local and state-level institutional responses. Resilience, which describes the ability of the social-ecological systems to adapt to change by buffering shocks, improving self-organization and increasing capacity for learning, is an essential quality. for sustainable development. Institutional responses which positively contribute to resilience and sustainability include the work of mahila mandals in forest management, adoption of joint Forest Management (JFM) policies and practices, upholding rules, strengthening local institutions, establishing firewood depots and adopting alternative energy sources. Institutional failures brought about by the lack of rule enforcement and corruption erode resilience. The analysis of institutional responses helps to identify areas where capacity exists and areas in which capacity building is needed to produce resilient social-ecological systems and therefore, sustainable development.
C1 Univ Manitoba, Nat Resources Inst, Winnipeg, MB R3T 2N2, Canada.
C3 University of Manitoba
RP Univ Manitoba, Nat Resources Inst, 70 Dysart Rd, Winnipeg, MB R3T 2N2, Canada.
EM berkes@cc.umanitoba.ca
OI Berkes, Fikret/0000-0001-8402-121X
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   [Anonymous], PANARCHY UNDERSTANDI
   Berkes F, 1998, MT RES DEV, V18, P19, DOI 10.2307/3673865
   Berkes F, 2000, INT J SUST DEV WORLD, V7, P375, DOI 10.1080/13504500009470056
   Berkes F., 1997, Sustainability of mountain environments in India and Canada, P1
   Berkes F., 2002, DRAMA COMMONS, P293
   Berkes F., 1997, Final Report Shastri Indo-Canadian Institute Partnership Program Project, P187
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   CHHATRE A, 2000, INT ASS STUD COMM PR
   CIRIACYWANTRUP SV, 1975, NAT RESOUR J, V15, P713
   DAVIDSONHUNT K, 1995, UNPUB ENGENDERING CO
   Duffield C, 1998, MT RES DEV, V18, P35, DOI 10.2307/3673866
   ECKHOLM EP, 1975, SCIENCE, V189, P764, DOI 10.1126/science.189.4205.764
   FOLKE C, 2002, RAINBOW SERIES, V3
   FOLKE C, 1998, BEIJER DISCUSSION PA, V112
   GARDNER J, 2002, MOUNTAIN RES DEV, V27, P9
   Gardner JS, 2002, GEOGR REV, V92, P282, DOI 10.1111/j.1931-0846.2002.tb00008.x
   GHATE R, 2000, INT ASS STUD COMM PR
   *GOV HIM PRAD, 1993, PART FOR MAN
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   HAM L, 1995, THESIS U MANITOBA WI
   Hanna S., 1996, Rights to Nature. Ecological, Economic, Cultural, and Political Principles of Institutions for the Environment, P35
   Hanna S.S., 1998, LINKING SOCIAL ECOLO, P190
   Harcourt AlfredFredrick Pollock., 1972, The Himalayan Districts of Kooloo, Lahoul
   HIREMATH SR, 1990, ALL DRAFT FOREST BIL, P251
   Holling C.S., 1995, P44
   Holling C.S., 1995, Barriers and bridges to the renewal of ecosystems and institutions
   LELE S, 1998, INT WORKSH SHAR RES
   Lele Sharachchandra., 2000, OVERSEAS DEV I, V53, P1
   LEVIN SA, 1998, ENVIRON DEV ECON, V3, P225
   LYALL JB, 1876, REPORT LAND REV SETT
   MOENCH M, 1989, ENVIRON CONSERV, V16, P137, DOI 10.1017/S0376892900008912
   NORTH DC, 1994, AM ECON REV, V84, P359
   Ostrom E., 1992, CRAFTING I SELF GOVE
   *OV DEV AG, 1994, HIM PRAD FOR PROJ, V1
   OWEN LA, 1995, Z GEOMORPHOL, V39, P145
   *RES ALL, 2003, FOC RES
   Saberwal VasantK., 1999, Pastoral Politics: Shepherds, Bureaucrats and Conservation in the Western Himalaya
   Saigal S, 2000, ENVIRON MANAGE, V26, P269, DOI 10.1007/s002670010086
   SANDHU M, 1996, THESIS U MANITOBA WI
   SARIN M, 1997, SOC PROM WAST DEV NE
   Sinclair J, 2000, REV CAN ETUD DEV, V21, P89
NR 43
TC 20
Z9 21
U1 1
U2 35
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1350-4509
EI 1745-2627
J9 INT J SUST DEV WORLD
JI Int. J. Sustain. Dev. World Ecol.
PD MAR
PY 2004
VL 11
IS 1
BP 99
EP 115
DI 10.1080/13504500409469815
PG 17
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 828PT
UT WOS:000221985900010
DA 2025-04-22
ER

PT J
AU Chen, H
   Gong, K
   Chang, YH
   He, WJ
   Geng, HP
   Zhang, BY
   Zhang, WF
AF Chen, Hao
   Gong, Kai
   Chang, Yunhao
   He, Weijun
   Geng, Haopeng
   Zhang, Boyan
   Zhang, Wenfeng
TI Modeling the power system resilience in China under different natural
   disasters
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Electricity system; Resilience; Natural disaster; Estimation; China
ID INPUT-OUTPUT MODEL; INFRASTRUCTURE RESILIENCE; EXTREME-WEATHER;
   CLIMATE-CHANGE; IMPACTS
AB A good understanding of the power system resilience is necessary for optimizing the investment strategies and supporting the emergency rescue, but the existing quantitative estimation results based on real outage events are still lacked due to the data limitations. Therefore, this study first establishes a unified framework to measure the power system resilience under different natural disasters, by integrating the electricity performance curve with the dynamic inoperability input-output model. Then, a database of 285 Chinese historical big power outage events caused by natural disasters is established, and the city-level power system resilience values are estimated. Finally, a benefit analysis is conducted for improving the power system resilience. Our major findings are that: (1) Electricity system recoveries quickest from hail (23.05 h), while restores slowest from snowstorm (117.31 h). (2) China's city electricity system is the most resilient to the thunderstorm, while is the least resilient to the earthquake. (3) Enhancing the power system resilience will significantly reduce the requirements for rescue resources, and the saved emergency rescue cost ranges from 0.57 million yuan to 12.08 million yuan with 1% reduction of initial inoperability.
C1 [Chen, Hao; Gong, Kai; Chang, Yunhao; Zhang, Boyan; Zhang, Wenfeng] Renmin Univ China, Sch Appl Econ, Beijing 100872, Peoples R China.
   [Chen, Hao] Renmin Univ China, Dept Chem, Beijing 100872, Peoples R China.
   [He, Weijun] Univ Sci & Technol Beijing, Sch Econ & Management, 30 Xueyuan Rd, Beijing 100083, Peoples R China.
   [Geng, Haopeng] China Univ Geosci, Sch Econ & Management, Wuhan 430074, Peoples R China.
C3 Renmin University of China; Renmin University of China; University of
   Science & Technology Beijing; China University of Geosciences
RP He, WJ (corresponding author), Univ Sci & Technol Beijing, Sch Econ & Management, 30 Xueyuan Rd, Beijing 100083, Peoples R China.
EM chenhao9133@126.com; gk2000@ruc.edu.cn; changyunhao@126.com;
   whe0323@163.com; ghp926@cug.edu.cn; zhangboyan13@163.com;
   wfzhang1217@126.com
RI Zhang, Wenfeng/LFT-7773-2024; Geng, Haopeng/GYJ-1801-2022
OI Gong, Kai/0000-0002-1321-2550; GENG, PENG/0009-0006-5046-8527
FU National Natural Science Foundation of China [72274198, 71904180,
   72141308]; Ministry of Education Humanities and Social Sciences
   Foundation Youth Project
FX This work was supported by the National Natural Science Foundation of
   China [grant number 72274198, 71904180, 72141308] , the Ministry of
   Education Humanities and Social Sciences Foundation Youth Project
CR Baik S, 2020, NAT ENERGY, V5, P250, DOI 10.1038/s41560-020-0581-1
   Bhusal N., 2020, 2020 INT C PROB METH, P1
   Bie C., 2015, Autom. Electr. Power Syst., P1
   Bollinger LA, 2016, EUR J TRANSP INFRAST, V16, P214
   BP, 2021, BP Statistical of World Energy
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Chen H, 2022, ENERG ECON, V105, DOI 10.1016/j.eneco.2021.105757
   Chen H, 2021, J CLEAN PROD, V322, DOI 10.1016/j.jclepro.2021.129080
   Chen H, 2021, ENERG POLICY, V150, DOI 10.1016/j.enpol.2020.112119
   Chenyang Lian, 2006, Systems Engineering, V9, P241, DOI 10.1002/sys.20051
   DHS, 2013, Critical Infrastructure Security and Resilience Functional Relationships
   DOE, 2009, 2009 Smart Grid System Report
   Dugan J, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103501
   Forzieri G, 2018, GLOBAL ENVIRON CHANG, V48, P97, DOI 10.1016/j.gloenvcha.2017.11.007
   Haimes YY, 2005, J INFRASTRUCT SYST, V11, P67, DOI 10.1061/(ASCE)1076-0342(2005)11:2(67)
   Haimes YY, 2005, J INFRASTRUCT SYST, V11, P80, DOI 10.1061/(ASCE)1076-0342(2005)11:2(80)
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Ji CY, 2016, NAT ENERGY, V1, DOI 10.1038/NENERGY.2016.52
   Liu H, 2021, EARTHQ SPECTRA, V37, P567, DOI 10.1177/8755293020952455
   MacKenzie CA, 2013, J INFRASTRUCT SYST, V19, P25, DOI 10.1061/(ASCE)IS.1943-555X.0000103
   Mensah AF, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001423
   Molyneaux L, 2012, ENERG POLICY, V47, P188, DOI 10.1016/j.enpol.2012.04.057
   Ouyang M, 2014, STRUCT SAF, V48, P15, DOI 10.1016/j.strusafe.2014.01.001
   Panteli M, 2017, IEEE T POWER SYST, V32, P4732, DOI 10.1109/TPWRS.2017.2664141
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Perera ATD, 2020, NAT ENERGY, V5, P150, DOI 10.1038/s41560-020-0558-0
   Poudineh R, 2017, ENERG J, V38, P51, DOI 10.5547/01956574.38.1.rpou
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Rieger Craig G., 2010, 2010 3rd International Symposium on Resilient Control Systems (ISRCS 2010), P64, DOI 10.1109/ISRCS.2010.5603123
   Saurin TA, 2011, SAFETY SCI, V49, P355, DOI 10.1016/j.ssci.2010.09.017
   SGCC, 2017, Guidebook for The Maintenance and Operation Cost of State Grid Corporation of China
   Stott P, 2016, SCIENCE, V352, P1517, DOI 10.1126/science.aaf7271
   Summers JK, 2018, GEOHEALTH, V2, P372, DOI 10.1029/2018GH000160
   Wang Q, 2020, NAT HAZARDS, V100, P3, DOI 10.1007/s11069-019-03656-7
   Watson PL, 2021, FORECASTING-BASEL, V3, P541, DOI 10.3390/forecast3030034
   WB, 2021, Resilience Rating System: A Methodology for Building and Tracking Resilience to Climate Change
   Wender B, 2017, ENGINEERING-PRC, V3, P580, DOI 10.1016/J.ENG.2017.05.022
   Wing IS, 2020, ENERG ECON, V89, DOI 10.1016/j.eneco.2020.104756
   Wu H, 2022, ENERGY, V244, DOI 10.1016/j.energy.2021.123081
   Yusta JM, 2011, ENERG POLICY, V39, P6100, DOI 10.1016/j.enpol.2011.07.010
   Zhang B., 2022, Ann. Oper. Res., P1
   Zhang B, 2022, ANN OPER RES, V316, P93, DOI 10.1007/s10479-021-04017-z
   Zhang W, 2014, SAFETY SCI, V64, P121, DOI 10.1016/j.ssci.2013.10.022
NR 43
TC 8
Z9 8
U1 20
U2 43
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD DEC 1
PY 2023
VL 347
AR 119151
DI 10.1016/j.jenvman.2023.119151
EA SEP 2023
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA X0YC0
UT WOS:001095781800001
PM 37776799
DA 2025-04-22
ER

PT J
AU Pierri, F
   Scotti, F
   Bonaccorsi, G
   Flori, A
   Pammolli, F
AF Pierri, Francesco
   Scotti, Francesco
   Bonaccorsi, Giovanni
   Flori, Andrea
   Pammolli, Fabio
TI Predicting economic resilience of territories in Italy during the
   COVID-19 first lockdown
SO EXPERT SYSTEMS WITH APPLICATIONS
LA English
DT Article
DE Classification; COVID-19; Economic performance; Lockdown; Prediction;
   Resilience
ID REGIONAL RESILIENCE; URBAN RESILIENCE; CENTRALITY; FRAMEWORK
AB This paper aims to predict the economic resilience to crises of territories based on local pre-existing socioeco-nomic characteristics. Specifically, we consider the case of Italian municipalities during the first wave of the COVID-19 pandemic, leveraging a large-scale dataset of cardholders performing transactions in Point-of-Sales. Based on a set of machine learning classifiers, we show that network-based measures and variables related to the social, economic, demographic and environmental dimensions are relevant predictors of the economic resilience of Italian municipalities to the crisis. In particular, we find accurate classification performance both in balanced and un-balanced scenarios, as well as in the case we restrict the analysis to specific geographical areas. Our analysis predicts that territories with larger income per capita, soil consumption, concentration of real estate activities and commuting network centrality in terms of closeness and Pagerank constitute the set of most affected areas, experiencing the strongest reduction of economic activities during the COVID-19 pandemic. Overall, we provide an application of an early-warning system able to provide timely evidence to policymakers about the detrimental effects generated by natural disasters and severe crisis episodes, thus contributing to optimize public decision support systems.
C1 [Pierri, Francesco] Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy.
   [Scotti, Francesco; Bonaccorsi, Giovanni; Flori, Andrea; Pammolli, Fabio] Politecn Milan, Dept Management Econ & Ind Engn, Milan, Italy.
   [Pierri, Francesco] Politecn Milan, Dept Elect Informat & Bioengn, Via Giuseppe Ponzio 34, I-20133 Milan, Italy.
C3 Polytechnic University of Milan; Polytechnic University of Milan;
   Polytechnic University of Milan
RP Pierri, F (corresponding author), Politecn Milan, Dept Elect Informat & Bioengn, Via Giuseppe Ponzio 34, I-20133 Milan, Italy.
EM francesco.pierri@polimi.it; francesco.scotti@polimi.it;
   giovanni.bonaccorsi@polimi.it; andrea.flori@polimi.it;
   fabio.pammolli@polimi.it
RI Bonaccorsi, Giovanni/JHU-4511-2023; Pierri, Francesco/JXX-2667-2024;
   Flori, Andrea/E-9220-2018
OI Bonaccorsi, Giovanni/0000-0002-5600-6271; Pammolli,
   Fabio/0000-0001-7056-1303; Flori, Andrea/0000-0002-9861-3598; Pierri,
   Francesco/0000-0002-9339-7566
CR Acemoglu D., 2020, NBER Working Paper No. 27102
   Andersen AL, 2022, SCAND J ECON, V124, P905, DOI 10.1111/sjoe.12512
   Ascani A, 2021, STRUCT CHANGE ECON D, V58, P444, DOI 10.1016/j.strueco.2021.06.016
   Ascani A, 2021, J REGIONAL SCI, V61, P407, DOI 10.1111/jors.12510
   Baker SR, 2020, REV ASSET PRICING ST, V10, P834, DOI 10.1093/rapstu/raaa009
   Barbieri T, 2022, ITAL ECON J, V8, P175, DOI 10.1007/s40797-021-00164-1
   Bassiouni MM, 2023, EXPERT SYST APPL, V211, DOI 10.1016/j.eswa.2022.118604
   Ben Shneiderman, 2020, ACM T INTERACT INTEL, V10, DOI 10.1145/3419764
   Bonaccorsi G, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-99548-7
   Bonaccorsi G, 2020, P NATL ACAD SCI USA, V117, P15530, DOI 10.1073/pnas.2007658117
   Bonacich P, 2007, SOC NETWORKS, V29, P555, DOI 10.1016/j.socnet.2007.04.002
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bounie D., 2020, 3588373 SSRN
   Buckee CO, 2020, SCIENCE, V368, P145, DOI 10.1126/science.abb8021
   Buitinck L., 2013, ECML PKDD WORKSH LAN, P108, DOI DOI 10.48550/ARXIV.1309.0238
   Cardoni A, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102059
   Carvalho VM, 2021, ROY SOC OPEN SCI, V8, DOI 10.1098/rsos.210218
   Chang S, 2021, NATURE, V589, P82, DOI 10.1038/s41586-020-2923-3
   Chen HQ, 2021, AEA PAP P, V111, P307, DOI 10.1257/pandp.20211003
   Chetty R, 2024, Q J ECON, V139, P829, DOI 10.1093/qje/qjad048
   Chinazzi M, 2020, SCIENCE, V368, P395, DOI [10.1126/science.aba9757, 10.1101/2020.02.09.20021261]
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Corodescu-Rosca E, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.104090
   Davazdahemami B, 2022, DECIS SUPPORT SYST, V161, DOI 10.1016/j.dss.2022.113730
   Di Porto E, 2022, J HEALTH ECON, V81, DOI 10.1016/j.jhealeco.2021.102572
   Djalante R, 2020, PROG DISASTER SCI, V6, DOI 10.1016/j.pdisas.2020.100080
   Dong DY, 2021, APPL ECON, V53, P1311, DOI 10.1080/00036846.2020.1828808
   Du A, 2023, RELIAB ENG SYST SAFE, V233, DOI 10.1016/j.ress.2023.109104
   Dunn A, 2021, AEA PAP P, V111, P321, DOI 10.1257/pandp.20211049
   Erker S, 2017, J CLEAN PROD, V164, P420, DOI 10.1016/j.jclepro.2017.06.163
   Ertem Z, 2022, DECIS SUPPORT SYST, V161, DOI 10.1016/j.dss.2021.113630
   Espinoza R., 2020, 3712867 SSRN
   Fabbri G, 2021, J MATH ECON, V93, DOI 10.1016/j.jmateco.2020.102455
   Ferraresi T., 2021, LEM WORKING PAPER SE
   Feurer M, 2015, ADV NEUR IN, V28
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   Hacioglu S., 2020, CEPR Discussion Paper No. 14733
   Hacioglu-Hoke S, 2021, EUR ECON REV, V134, DOI 10.1016/j.euroecorev.2021.103680
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Hill Edward., 2008, EXPLORING REGIONAL E
   Howlett M., 2019, DESIGNING PUBLIC POL, DOI DOI 10.4324/9781315232003
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Huang X, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103891
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Hynes William, 2020, Environment Systems & Decisions, V40, P174, DOI 10.1007/s10669-020-09776-x
   Ibrahim O, 2019, PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH (DGO2019): GOVERNANCE IN THE AGE OF ARTIFICIAL INTELLIGENCE, P214, DOI 10.1145/3325112.3325247
   Kim B, 2020, DECIS SUPPORT SYST, V134, DOI 10.1016/j.dss.2020.113302
   Kryvasheyeu Y, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500779
   Kumar A, 2022, EXPERT SYST APPL, V210, DOI 10.1016/j.eswa.2022.118628
   Latora V, 2007, NEW J PHYS, V9, DOI 10.1088/1367-2630/9/6/188
   Lim YK, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-85493-y
   Lin YZ, 2022, ECOL INDIC, V142, DOI 10.1016/j.ecolind.2022.109194
   Liu D, 2021, J ENVIRON MANAGE, V300, DOI 10.1016/j.jenvman.2021.113764
   Liu D, 2020, J CLEAN PROD, V250, DOI 10.1016/j.jclepro.2019.119468
   Lu Y, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103313
   Lu YH, 2022, J CLEAN PROD, V339, DOI 10.1016/j.jclepro.2022.130621
   Lundberg SM, 2017, ADV NEUR IN, V30
   Makris M, 2024, ECON THEOR, V77, P445, DOI 10.1007/s00199-021-01377-2
   Martin Amory, 2020, Econ Disaster Clim Chang, V4, P453, DOI 10.1007/s41885-020-00070-3
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Mascaretti A., 2022, EXPERT SYST APPL, V206
   Mitchell S, 2021, ANNU REV STAT APPL, V8, P141, DOI 10.1146/annurev-statistics-042720-125902
   Okamoto K, 2008, LECT NOTES COMPUT SC, V5059, P186
   Oliver N, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abc0764
   Page L, 1998, PAGERANK CITATION RA
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Phillips-Wren G, 2021, DECIS SUPPORT SYST, V146, DOI 10.1016/j.dss.2021.113560
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Polyakova M, 2020, P NATL ACAD SCI USA, V117, P27934, DOI 10.1073/pnas.2014279117
   Potter A, 2022, J TRANSP GEOGR, V104, DOI 10.1016/j.jtrangeo.2022.103448
   Rai A, 2020, J ACAD MARKET SCI, V48, P137, DOI 10.1007/s11747-019-00710-5
   Scotti F, 2023, INT REGIONAL SCI REV, V46, P613, DOI 10.1177/01600176231168027
   Scotti F, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0267100
   Sheridan A, 2020, P NATL ACAD SCI USA, V117, P20468, DOI 10.1073/pnas.2010068117
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Shin D, 2021, INT J HUM-COMPUT ST, V146, DOI 10.1016/j.ijhcs.2020.102551
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Smith M, 2021, EXPERT SYST APPL, V176, DOI 10.1016/j.eswa.2021.114832
   Song X, 2014, PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14), P5, DOI 10.1145/2623330.2623628
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Vicarelli C, 2022, ECON ANAL POLICY, V76, P946, DOI 10.1016/j.eap.2022.10.007
   Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
   Weaver AK, 2022, ANNU REV PUBL HEALTH, V43, P271, DOI 10.1146/annurev-publhealth-052120-101420
   Wesolowski A, 2013, J R SOC INTERFACE, V10, DOI 10.1098/rsif.2012.0986
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   Yi PT, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2023.103528
   Zhang JM, 2023, CITIES, V136, DOI 10.1016/j.cities.2023.104265
NR 87
TC 3
Z9 3
U1 3
U2 27
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0957-4174
EI 1873-6793
J9 EXPERT SYST APPL
JI Expert Syst. Appl.
PD DEC 1
PY 2023
VL 232
AR 120803
DI 10.1016/j.eswa.2023.120803
EA JUN 2023
PG 14
WC Computer Science, Artificial Intelligence; Engineering, Electrical &
   Electronic; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Operations Research & Management Science
GA Q2EW2
UT WOS:001055710600001
PM 37363270
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Rajput, TS
   Singhal, A
   Routroy, S
   Dhadse, K
   Tyagi, G
AF Rajput, Tripti Singh
   Singhal, Anupam
   Routroy, Srikanta
   Dhadse, Kunal
   Tyagi, Gaurav
TI Urban Policymaking for a Developing City Using a Hybridized Technique
   Based on SWOT, AHP, and GIS
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
DE Urban development; SWOT; AHP; Zonal statistics; GIS; City sustainability
ID ACCESSIBILITY; LAND; SLUMS; MODEL
AB The high rate of population growth in the 21st century is causing mass migration from rural to urban settlements. Rapid urbanization in developing countries generally follows unregulated growths, urban sprawls, and inefficiencies in city planning. With the trend of rapid growth in developing countries, it has been very difficult to maintain an environmentally sustainable and socially resilient policy framework. This study proposes an urban development policy framework for sustainable planning in developing cities by coupling geographic information system (GIS) geospatial zonal analysis with strength, weakness, opportunities, and threats (SWOT) and analytical hierarchy process (AHP) model. The hybridized approach incorporates critical issues such as disaster impact, slum settlements, infrastructure deficit, and noise pollution in urban planning. A case study of the city of Delhi was taken to demonstrate the applicability of the proposed framework in developing cities. The novelty of the study is that it proposes a highly flexible urban development plan based on the integrated GIS and SWOT-AHP methodology that is specific to the needs of developing economies and developing cities. The methodology also puts a strong emphasis on disaster prevention and response in the urban development plan. Results from the GIS-SWOT-AHP model can be used for region-based urban planning that prioritizes regions needing critical attention and directs the development of the city toward a sustainable future.
C1 [Rajput, Tripti Singh] Indian Inst Technol, Indian Inst Technol IIT Bombay, Dept Civil Engn, Powai 400076, India.
   [Singhal, Anupam; Dhadse, Kunal; Tyagi, Gaurav] BITS Pilani, Birla Inst Technol & Sci BITS Pilani, Dept Civil Engn, Pilani Campus, Pilani 333031, Rajasthan, India.
   [Routroy, Srikanta] BITS Pilani, Birla Inst Technol & Sci Bits Pilani, Dept Mech Engn, Pilani Campus, Pilani 333031, Rajasthan, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay; Birla Institute of Technology & Science
   Pilani (BITS Pilani); Birla Institute of Technology & Science Pilani
   (BITS Pilani)
RP Singhal, A (corresponding author), BITS Pilani, Birla Inst Technol & Sci BITS Pilani, Dept Civil Engn, Pilani Campus, Pilani 333031, Rajasthan, India.
EM 194046006@iitb.ac.in; anupam_singhal@pilani.bits-pilani.ac.in;
   srikanta@pilani.bits-pilani.ac.in; h2016028@alumni.bits-pilani.ac.in;
   p20180419@pilani.bits-pilani.ac.in
RI Dhadse, Kunal/AAE-3677-2020
OI Dhadse, Kunal/0000-0002-1262-3956; Tyagi, Gaurav/0000-0002-9853-6932;
   Singh Rajput, Tripti/0000-0002-6827-3932
CR [Anonymous], 2011, PROVISIONAL POPULATI
   [Anonymous], 2017, S ASIA EC FOCUS FALL
   [Anonymous], 2011, NCT DELHI DISTRICT C
   CCS (Centre for Civil Society), 2015, CITY SWOT ASS, P161
   Davis KE, 2008, AM J COMP LAW, V56, P895, DOI 10.5131/ajcl.2007.0031
   Demir O, 2009, LAND USE POLICY, V26, P112, DOI 10.1016/j.landusepol.2008.01.011
   Huynh D, 2015, HABITAT INT, V48, P11, DOI 10.1016/j.habitatint.2015.03.007
   Fuller B., 2014, Urbanization as Opportunity
   Ghosh J., 2017, Demonetisation Decoded: A Critique of Indias Currency Experiment, V1st edn, DOI [10.4324/9781315160979, DOI 10.4324/9781315160979]
   Heiden U, 2012, LANDSCAPE URBAN PLAN, V105, P361, DOI 10.1016/j.landurbplan.2012.01.001
   Henkey T, 2018, URBAN EMERGENCY MANAGEMENT: PLANNING AND RESPONSE FOR THE 21ST CENTURY, P1
   Holmes W.T., 2009, 2009 ATC SEI C IMPR, P258
   House DR, 2014, AFR J EMERG MED, V4, P20, DOI 10.1016/j.afjem.2013.08.069
   Hunashal RB, 2012, PROCD SOC BEHV, V37, P448, DOI 10.1016/j.sbspro.2012.03.310
   Kahandawa KARVD, 2018, PROCEDIA ENGINEER, V212, P622, DOI 10.1016/j.proeng.2018.01.080
   Kobusingye OC, 2006, DISEASE CONTROL PRIORITIES IN DEVELOPING COUNTRIES, 2ND EDITION, P1261
   Kurttila M., 2000, Forest Policy and Economics, V1, P41, DOI 10.1016/S1389-9341(99)00004-0
   Levine J, 2017, TRANSPORT POLICY, V53, P107, DOI 10.1016/j.tranpol.2016.09.005
   Liu R, 2018, TRANSPORT RES D-TR E, V59, P478, DOI 10.1016/j.trd.2018.01.003
   Medda F, 2012, J TRANSP GEOGR, V25, P154, DOI 10.1016/j.jtrangeo.2012.07.013
   Peng J, 2018, TUNN UNDERGR SP TECH, V74, P82, DOI 10.1016/j.tust.2018.01.002
   Ragheb G, 2016, PROCD SOC BEHV, V216, P417, DOI 10.1016/j.sbspro.2015.12.056
   Ramachandra TV, 2014, J URBAN REG ANAL, V6, P71
   Ramachandra TV, 2015, J ENVIRON MANAGE, V148, P67, DOI 10.1016/j.jenvman.2014.02.015
   Gozalo GR, 2016, APPL ACOUST, V111, P143, DOI 10.1016/j.apacoust.2016.04.018
   Roy D, 2018, CITIES, V74, P269, DOI 10.1016/j.cities.2017.12.014
   Roy D, 2014, ENVIRON MODELL SOFTW, V59, P76, DOI 10.1016/j.envsoft.2014.05.004
   Saaty T. L., 2001, Models, Methods, Concepts and Applications of the Analytic Hierarchy Process
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Samir KC, 2018, P NATL ACAD SCI USA, V115, P8328, DOI 10.1073/pnas.1722359115
   Srinivas R, 2018, J HYDROL, V563, P92, DOI 10.1016/j.jhydrol.2018.05.059
   Sudhira H.S., 2009, URBAN SPRAWL MANAGEM
   Terrados J, 2007, RENEW SUST ENERG REV, V11, P1275, DOI 10.1016/j.rser.2005.08.003
   Walters V, 2014, HABITAT INT, V44, P211, DOI 10.1016/j.habitatint.2014.06.006
   Xu JH, 2016, INT J DISAST RISK RE, V20, P51, DOI 10.1016/j.ijdrr.2016.10.009
NR 35
TC 9
Z9 11
U1 10
U2 54
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9488
EI 1943-5444
J9 J URBAN PLAN DEV
JI J. Urban Plan. Dev
PD JUN 1
PY 2021
VL 147
IS 2
AR 04021018
DI 10.1061/(ASCE)UP.1943-5444.0000691
PG 18
WC Engineering, Civil; Regional & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Public Administration; Urban Studies
GA RZ4TN
UT WOS:000648590100011
DA 2025-04-22
ER

PT J
AU Athey, G
   Nathan, M
   Webber, C
   Mahroum, S
AF Athey, Glenn
   Nathan, Max
   Webber, Chris
   Mahroum, Sami
TI Innovation and the city
SO INNOVATION-ORGANIZATION & MANAGEMENT
LA English
DT Article
DE innovation; cities; fashion; ICT; automotive; biotechnology
AB Innovation is an increasingly globalised phenomenon but the highest rates of visible innovation are found in and around cities. This paper explores the urban factors' that support innovative activity, focusing on English cities. Agglomeration economies can help explain both cities' resilience and the characteristics of urban markets, assets, networks and institutions that help innovation to take place. A high-level explanatory framework is set out, using the concepts of urban hubs' and 'local links' to draw together these ideas. The framework is then explored using five case studies from the UK and abroad. The findings suggest a number of different innovation trajectories' for different city types. Innovation policymakers should pay more attention to improving urban infrastructure, skills and critical mass, and should devolve strategy-making towards pan-regional and sub-regional actors.
C1 [Athey, Glenn] EEDA, Cambridge, England.
   [Nathan, Max; Webber, Chris] Ctr Cities, London, England.
   [Nathan, Max] London Sch Econ, Dept Geog & Environm, London WC2A 2AE, England.
   [Mahroum, Sami] NESTA, London, England.
C3 University of London; London School Economics & Political Science
RP Athey, G (corresponding author), EEDA, Cambridge, England.
OI Nathan, Max/0000-0002-4617-4300
CR Anderson C., 2004, Wired. Outubro
   [Anonymous], 767 CEP LSE
   [Anonymous], 2004, World Urbanization Prospects: The 2003 Revision
   Cairncross F., 1997, The death of distance: How the communications revolution is changing our lives
   Castells M., 2003, INTERNET GALAXY REFL
   CHATTERTON P, 2003, CHANGING OUR TOON YO
   Combes PP, 2005, PAP REG SCI, V84, P311, DOI 10.1111/j.1435-5957.2005.00038.x
   Cooke, 2001, IND CORPORATE CHANGE, V10, P945
   Currid E., 2007, The Warhol economy: How fashion, art, and music drive New York City
   Dascher K, 2002, PAP REG SCI, V81, P49, DOI 10.1007/s101100100089
   *DEP COMM LOC GOV, 2006, STAT ENGL CIT REP
   Etzkowitz H, 2000, RES POLICY, V29, P109, DOI 10.1016/S0048-7333(99)00055-4
   Featherstone D, 2007, GLOBAL NETW, V7, P383, DOI 10.1111/j.1471-0374.2007.00175.x
   Frenz M. - Oughton C., 2005, Innovation in the UK Regions and Devolved Administrations: A Review of the Literature
   GLAESER E, 2000, BROOKINGS REV    SUM
   Graham Daniel J., 2005, Stage 1 Report
   Gray J., 1998, FALSE DAWN DELUSIONS
   *GREAT LOND AUTH E, 2007, LOND CREAT SECT 2007
   IAMMARINO S, 2005, SPRU ELECT WORKING P, V138
   Jacobs J., 1969, EC CITIES
   Jane J., 1961, DEATH LIFE GREAT AM
   Knox P., 1995, World Cities in a World-System
   Leunig T, 2008, OXFORD REV ECON POL, V24, P59, DOI 10.1093/oxrep/grn004
   Liu XH, 2007, RES POLICY, V36, P355, DOI 10.1016/j.respol.2006.12.003
   Mahroum S, 1999, MINERVA, V37, P379
   Marshall A., 1890, PRINCIPLES EC
   Martin R, 2003, J ECON GEOGR, V3, P5, DOI 10.1093/jeg/3.1.5
   Nathan M., 2006, CITY PEOPLE CITY CTR
   NESTA, 2006, INN GAP WHY POL NEED
   OECD, 1996, KNOWL BAS EC
   ORLANDO M, 2005, DO ONL BIG CIT INN T
   Piore M.J., 1984, The second industrial divide: possibilities for prosperity, V4
   Porter M., 2011, COMPETITIVE ADVANTAG
   RICE P, 2004, SPATIAL DETERM UNPUB
   SASSEN S, 2006, P CAMBR EC C GREAT C
   Saxenian A., 2007, NEW ARGONAUTS REGION
   Simmie J, 2002, REG STUD, V36, P47, DOI 10.1080/00343400120099852
   Simmie J., 2008, History Matters: Path Dependence and Innovation in British City-regions
   Simmie J., 2004, City Matters: Competitiveness, cohesion and urban governance, P171
   SIMMIE J, 2007, WORKSH ST CATH COLL
   Storper M., 2003, BUZZ FACE TO FACE CO
   Storper M, 2006, URBAN STUD, V43, P1247, DOI 10.1080/00420980600775642
   Storper Michael, 1997, The Regional World. Territorial Development in a Global Economy
   TAYLOR W, 2002, GLOBAL NETWORKS LINK, P93
   *THAM VALL EC PART, 2006, EC CHALL FAC THAM VA
   WILSON R, 2007, 19 GLA EC
   2004, EUROPEAN CITIES MONI
NR 47
TC 25
Z9 27
U1 0
U2 44
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1447-9338
EI 2204-0226
J9 INNOV-ORGAN MANAG
JI Innov.-Organ. Manag.
PD OCT-DEC
PY 2008
VL 10
IS 2-3
BP 156
EP 169
DI 10.5172/impp.453.10.2-3.156
PG 14
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA 398YC
UT WOS:000262766600003
DA 2025-04-22
ER

PT J
AU Langner, N
   Voellner, D
   Ress, M
AF Langner, Normen
   Voellner, David
   Ress, Marvin
TI Numerical simulation of urban heat islands - Evaluation of simulation
   results by thermal measurements
SO BAUPHYSIK
LA German
DT Article
DE urban heat islands; thermal simulations; thermal measurements; drone
   flights; photogrammetry; urban heat islands; thermal simulations;
   thermal measurements; drone flights; photogrammetry
AB Urban development, including urban surfaces, vegetation, and water bodies, influence the urban climate in various ways. In addition to the geometric features of the built environment, material properties such as thermal storage capacity and the radiative behavior of roofs, fa & ccedil;ades, and transportation infrastructure significantly impact the local climate and the formation of heat islands. To predict these effects, urban climate simulations are increasingly used and are now scientifically established. However, the question of the accuracy of these results frequently arises. This paper focuses on the evaluation of simulation results through thermal measurements, including temperature, wind speed, and thermography, conducted both at ground level and using drones. By comparing simulation outputs with measured data, input parameters for the simulations can be refined. This enables the development of reliable forecasts regarding the effectiveness of green infrastructure, such as green roofs and fa & ccedil;ades, in mitigating urban heat island effects. These insights form the basis for designing appropriate adaptation strategies to enhance urban resilience against increasingly intense heat events.
C1 [Langner, Normen; Voellner, David] TH Angew Wissensch Wurzburg Schweinfurt, Fak Architektur & Bauingn, Lehrgebiet Bauphys Nachhaltigkeit & Baustoffe, Rontgenring 8, D-97070 Wurzburg, Germany.
   [Ress, Marvin] Stadt Meiningen, Fachbereich Stadtentwicklung, Schlosspl 1, D-98617 Meiningen, Germany.
RP Langner, N (corresponding author), TH Angew Wissensch Wurzburg Schweinfurt, Fak Architektur & Bauingn, Lehrgebiet Bauphys Nachhaltigkeit & Baustoffe, Rontgenring 8, D-97070 Wurzburg, Germany.
EM normen.langner@thws.de; david.voellner@thws.de;
   marvin-keanu.ress@meiningen.de
CR AEE INTEC-Institut fur Nachhaltige Technologien, 2021, Smart City Sensing (SmaCiSe)-Thermal Screening of Physical Objects and Air Quality at Urban Scales
   Ahmad J, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15082042
   Bechtel B., 2015, Globale Urbanisierung. Perspektive aus dem All, P205
   Brunn A, 2016, INT ARCH PHOTOGRAMM, V41, P445, DOI 10.5194/isprsarchives-XLI-B5-445-2016
   Brunn A., 2022, Beitrage zu den Oldenburger 3D-Tage2022
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Debus P., 2021, Drohnen im Bauwesen. Wissen zu Einsatz, Technik und BIM
   Graça M, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101126
   Heldens W., 2012, Fernerkundung im urbanen Raum, P170
   Heldens W, 2017, ISPRS J PHOTOGRAMM, V125, P106, DOI 10.1016/j.isprsjprs.2017.01.009
   Hupfer Peter, 2005, Witterung und Klima. Eine Einfuhrung in die Meteorologie und Klimatologie, V11th
   Kuttler Wilhelm, 2004, Umweltwissenschaften und Schadstoff-Forschung, V16, P263
   Kuttler Wilhelm, 2004, Umweltwissenschaften und Schadstoff-Forschung, V16, P187
   Leichtle T., 2023, Quantifying urban heat exposure at fine scale-modeling outdoor and indoor temperatures using citizen science and VHR remote sensing
   Qi JD, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101875
   Yang SW, 2023, BUILD ENVIRON, V283, DOI 10.1016/j.buildenv.2023.110334
NR 16
TC 0
Z9 0
U1 5
U2 5
PU ERNST & SOHN
PI BERLIN
PA ROTHERSTRASSE 21, BERLIN, DEUTSCHLAND 10245, GERMANY
SN 0171-5445
EI 1437-0980
J9 BAUPHYSIK
JI Bauphysik
PD DEC
PY 2024
VL 46
IS 6
BP 348
EP 354
DI 10.1002/bapi.202400034
PG 7
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA P7R3J
UT WOS:001379829900004
DA 2025-04-22
ER

PT J
AU Oneto, G
   Canepa, M
AF Oneto, Gabriele
   Canepa, Maria
TI Addressing sustainable urban flood risk: reviewing the role and scope of
   theoretical models and policies
SO WATER POLICY
LA English
DT Article; Early Access
DE Adaptation feasibility; Conceptual framework; Sustainable Development
   Goals; Sustainable governance; Urban design; Urban flood management
ID DECISION-SUPPORT-SYSTEM; MANAGEMENT; RESILIENCE; ADAPTATION; CLIMATE;
   OPTIONS
AB Contemporary adaptation to urban flooding is based on risk management. Urban planners have both an active role in studying cities and a supportive role in helping to define policies. From 33 case studies, this review tries to give insight into how flood risk management fares in confronting international directives on disaster reduction and sustainability, by defining seven sustainability performance criteria. Most studies try to maximise the acceptability and feasibility of implementing solutions in cities (63.6%) and the revision of existing building codes and plans (51.5%), while fewer try to test existing urban practices for weak points (27.3%). Analyses do not fully consider urban habitats as holistic and complex systems, as citizen awareness (27.3%), costs (21.2%), and biodiversity (24.2%) are some of the least recurring and intersecting themes. The main findings should help planners define new lines of action on urban flooding and to consider alternative aspects in their frameworks.
C1 [Oneto, Gabriele; Canepa, Maria] Univ Genoa, Dept Architecture & Design, Stradone S Agostino 37, Genoa, GE, Italy.
C3 University of Genoa
RP Oneto, G (corresponding author), Univ Genoa, Dept Architecture & Design, Stradone S Agostino 37, Genoa, GE, Italy.
EM gabriele.oneto@edu.unige.it
RI Canepa, Maria Ester/KBQ-2444-2024
OI Oneto, Gabriele/0000-0003-3621-1179
FU PNRR PhD programme
FX The research by G.O. is funded by the PNRR PhD programme. The research
   by M.C. takes place within the framework of the RTDA-PON Green Research.
CR Abenayake C, 2022, APPL GEOGR, V147, DOI 10.1016/j.apgeog.2022.102772
   Ahmed S, 2019, LAND-BASEL, V8, DOI 10.3390/land8090138
   Akter T, 2018, ENVIRON SCI POLICY, V89, P163, DOI 10.1016/j.envsci.2018.07.002
   Alves A, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134980
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   Anshu D., 2019, MAKING CITIES RESILI, P127
   Azizi K, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101237
   Balsells M, 2013, WATER SCI TECHNOL, V68, P2448, DOI 10.2166/wst.2013.527
   Bamrungkhul S, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103988
   Barbarossa L., 2018, J. urban Plan. Landsc. Environ. Des, V3, P15
   Benson C., 2007, TOOLS MAINSTREAMING
   Butler C, 2011, ENVIRON PLANN C, V29, P533, DOI 10.1068/c09181j
   Caprario J, 2022, URBAN WATER J, V19, P395, DOI 10.1080/1573062X.2021.2022720
   Casali Y, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104050
   Choi Y, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102213
   da Silva L.B.L., 2021, Handbook of Climate Change Management: Research, Leadership, Transformation, P3299
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   De Risi R, 2020, NAT HAZARDS, V100, P387, DOI 10.1007/s11069-019-03817-8
   Dráb A, 2010, NAT HAZARD EARTH SYS, V10, P1977, DOI 10.5194/nhess-10-1977-2010
   Ekmekcioglu Ö, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103759
   Elsharqawy H. R., 2022, J ENG APPL SCI, V69, P80, DOI [10.1186/s44147-022-00136-x, DOI 10.1186/S44147-022-00136-X]
   Ghoneim S. A., 2022, CIVIL ENG ARCHITECTU, V10, P288, DOI [10.13189/cea.2022.101414, DOI 10.13189/CEA.2022.101414]
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Haddaway NR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0138237
   Heinzlef C, 2020, NAT HAZARD EARTH SYS, V20, P1049, DOI 10.5194/nhess-20-1049-2020
   Hu HZ, 2019, WATER RES, V166, DOI 10.1016/j.watres.2019.115067
   Hua P, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118515
   Keskitalo E. C. H., 2013, CLIMATE CHANGE FLOOD
   Koc K, 2021, J ENVIRON MANAGE, V294, DOI 10.1016/j.jenvman.2021.113023
   Koop S, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082869
   Kreibich H, 2022, NATURE, V608, P80, DOI 10.1038/s41586-022-04917-5
   Kwon T. J., 2014, URBAN WATER 2, V139
   Liu D, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128134
   Löwe R, 2017, J HYDROL, V550, P355, DOI 10.1016/j.jhydrol.2017.05.009
   Ludwig D, 1996, ECOL ECON, V19, P185, DOI 10.1016/0921-8009(96)84161-9
   Mansur AV, 2016, SUSTAIN SCI, V11, P625, DOI 10.1007/s11625-016-0355-7
   Matczak P, 2020, WATER-SUI, V12, DOI 10.3390/w12082122
   Mielby S, 2020, WATER-SUI, V12, DOI 10.3390/w12123324
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Mosavi A, 2018, WATER-SUI, V10, DOI 10.3390/w10111536
   Mustafa A, 2018, J ENVIRON MANAGE, V225, P193, DOI 10.1016/j.jenvman.2018.07.090
   Njue N, 2019, SCI TOTAL ENVIRON, V693, DOI 10.1016/j.scitotenv.2019.07.337
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Perosa F, 2022, ENVIRON SCI POLICY, V135, P191, DOI 10.1016/j.envsci.2022.05.004
   Ren M, 2022, WATER-SUI, V14, DOI 10.3390/w14142160
   Rubinato M, 2019, WATER SCI ENG, V12, P274, DOI 10.1016/j.wse.2019.12.004
   Skrydstrup J, 2022, J ENVIRON MANAGE, V320, DOI 10.1016/j.jenvman.2022.115724
   Sutton-Grier AE, 2019, WETLANDS, V39, P1295, DOI 10.1007/s13157-018-1039-0
   Mai T, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101550
   United Nations General Assembly, 2015, SUSTAIN DEV, DOI 10.18356/3405d09f-en
   Venkataramanan V, 2020, SCI TOTAL ENVIRON, V720, DOI 10.1016/j.scitotenv.2020.137606
   Vitale C., 2021, UNDERSTANDING INTERM, V14, P22
   Wang M, 2022, SCI TOTAL ENVIRON, V834, DOI 10.1016/j.scitotenv.2022.155267
   Wanghe K, 2022, ECOL INDIC, V143, DOI 10.1016/j.ecolind.2022.109264
   Winsemius HC, 2013, HYDROL EARTH SYST SC, V17, P1871, DOI 10.5194/hess-17-1871-2013
   Yazdani M, 2022, SAFETY SCI, V155, DOI 10.1016/j.ssci.2022.105867
   Yu I, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313006
   Zeng SY, 2019, J ENVIRON MANAGE, V246, P849, DOI 10.1016/j.jenvman.2019.06.028
NR 59
TC 3
Z9 3
U1 2
U2 16
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1366-7017
EI 1996-9759
J9 WATER POLICY
JI Water Policy
PD 2023 JUL 27
PY 2023
DI 10.2166/wp.2023.022
EA JUL 2023
PG 18
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA N8CE3
UT WOS:001039219500001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Tang, Y
   Yuan, YB
   Tian, BQ
AF Tang, Yang
   Yuan, Yongbo
   Tian, Boquan
TI Analysis of the Driving Mechanism of Land Comprehensive Carrying
   Capacity from the Perspective of Urban Renewal
SO LAND
LA English
DT Article
DE urban renewal; land comprehensive carrying capacity; driving mechanism;
   structural equation modeling
ID RESILIENCE; CITY; SUSTAINABILITY; OPTIMIZATION; PROVINCE; MODEL
AB After a period of rapid development, the process of urbanization in China has gradually shifted from "scale expansion" to "enhanced quality". The scarcity of urban land resources has created constraints on resources and economic development. This paper examines the carrying capacity of urban land resources from the perspective of urban renewal. A conceptual model of the driving mechanism of land comprehensive carrying capacity is constructed, incorporating six dimensions and 22 indicators, including urban renewal and urban ecology. Through questionnaire surveys and structural equation modeling, feedback data are analyzed, and measurement models, structural models, and mediation effects are examined to analyze the causal paths of factors in different dimensions on the comprehensive carrying capacity of urban land. The research results indicate that all six dimensions in the conceptual model have a direct positive impact on the land carrying capacity. In terms of direct effects, the influencing factors are ranked in descending order of magnitude as follows: urban development, urban disaster prevention and mitigation capacity, infrastructure development, urban renewal, social economy, and urban ecology. In terms of overall effects, factors are ranked in descending order of magnitude as follows: urban development, social economy, urban ecology, urban renewal, urban disaster prevention and mitigation capacity, and infrastructure development.
C1 [Tang, Yang; Yuan, Yongbo; Tian, Boquan] Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China.
C3 Dalian University of Technology
RP Tang, Y (corresponding author), Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China.
EM tangyang@mail.dlut.edu.cn; yongbo@dlut.edu.cn;
   tian_boquan@mail.dlut.edu.cn
CR Akinyode BF, 2022, GEOJOURNAL, V87, P3265, DOI 10.1007/s10708-021-10430-5
   Almeida CP, 2018, SUSTAIN CITIES SOC, V36, P378, DOI 10.1016/j.scs.2017.10.014
   Alwisy A, 2018, ENERG BUILDINGS, V178, P347, DOI 10.1016/j.enbuild.2018.08.043
   Astrachan CB, 2014, J FAM BUS STRATEG, V5, P116, DOI 10.1016/j.jfbs.2013.12.002
   Avotra AARN, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.774822
   Brannstrom C, 2008, LAND USE POLICY, V25, P579, DOI 10.1016/j.landusepol.2007.11.008
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruno E, 2023, LAND USE POLICY, V131, DOI 10.1016/j.landusepol.2023.106694
   Cai C, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.814656
   Chan E, 2008, SOC INDIC RES, V85, P243, DOI 10.1007/s11205-007-9089-3
   Cheng K, 2017, NAT HAZARDS, V86, P263, DOI 10.1007/s11069-016-2686-1
   Deng XZ, 2013, ADV METEOROL, V2013, DOI 10.1155/2013/297926
   Desta CG, 2017, CHIN J POPUL RESOUR, V15, P337, DOI 10.1080/10042857.2017.1407023
   [丁凡 Ding Fan], 2017, [城市规划学刊, Urban Planning Forum], P87
   Elahi E, 2021, LAND USE POLICY, V102, DOI 10.1016/j.landusepol.2020.105250
   Eom JS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124778
   Fang Z, 2022, SCI TOTAL ENVIRON, V831, DOI 10.1016/j.scitotenv.2022.154967
   Feng Y., 2022, TERRIT NAT RESOUR ST, V3, P41, DOI [10.16202/j.cnki.tnrs.2022.03.006, DOI 10.16202/J.CNKI.TNRS.2022.03.006]
   Guo P, 2021, ENVIRON SCI POLLUT R, V28, P48097, DOI 10.1007/s11356-021-14054-7
   Guo Q, 2018, ECOL INDIC, V91, P259, DOI 10.1016/j.ecolind.2018.03.059
   He RW, 2011, PROCEDIA ENVIRON SCI, V10, P1985, DOI 10.1016/j.proenv.2011.09.311
   He Y., 2022, NAT RESOUR INF, V11, P56, DOI [10.3969/j.issn.1674-3709.2022.11.009, DOI 10.3969/J.ISSN.1674-3709.2022.11.009]
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hou QH, 2013, APPL MECH MATER, V361-363, P185, DOI 10.4028/www.scientific.net/AMM.361-363.185
   Irwin E. G., 2003, Agricultural and Resource Economics Review, V32, P83
   Jin G, 2017, PHYS CHEM EARTH, V101, P70, DOI 10.1016/j.pce.2017.03.003
   [金悦 Jin Yue], 2015, [生态学报, Acta Ecologica Sinica], V35, P4852
   Kendra JM, 2003, DISASTERS, V27, P37, DOI 10.1111/1467-7717.00218
   Kindu M, 2016, SCI TOTAL ENVIRON, V547, P137, DOI 10.1016/j.scitotenv.2015.12.127
   Kirikkaleli D, 2020, ENVIRON SCI POLLUT R, V27, P38169, DOI 10.1007/s11356-020-09870-2
   Kitsios F., 2022, International Journal of Information Management Data Insights, V2, DOI [DOI 10.1016/J.JJIMEI.2021.100056, 10.1016/j.jjimei.2021.100056]
   Li HB, 2018, TRANSPORT POLICY, V61, P17, DOI 10.1016/j.tranpol.2017.10.002
   Li X, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19159399
   Liu C., 2021, CHINA EC STUD, V327, DOI [10.19365/j.issn1000-4181.2021.04.06, DOI 10.19365/J.ISSN1000-4181.2021.04.06]
   Luo WZ, 2020, SCI TOTAL ENVIRON, V744, DOI 10.1016/j.scitotenv.2020.140827
   Martinico F, 2014, IFOREST, V7, P385, DOI 10.3832/ifor1171-007
   Nie Y., 2022, TERRIT NAT RESOUR ST, V5, P35, DOI [10.16202/j.cnki.tnrs.2022.05.017, DOI 10.16202/J.CNKI.TNRS.2022.05.017]
   Nin M, 2016, ECOSYST SERV, V17, P172, DOI 10.1016/j.ecoser.2015.12.009
   Palekiene O, 2015, PROCD SOC BEHV, V213, P179, DOI 10.1016/j.sbspro.2015.11.423
   [全江涛 Quan Jiangtao], 2020, [水土保持研究, Research of Soil and Water Conservation], V27, P315
   Serulle NU, 2011, TRANSPORT RES REC, P22, DOI 10.3141/2234-03
   Shen TY, 2021, LAND USE POLICY, V108, DOI 10.1016/j.landusepol.2021.105571
   Shi JG, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0248265
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Sun W, 2020, J CLEAN PROD, V272, DOI 10.1016/j.jclepro.2020.122828
   [孙秀波 Sun Xiubo], 2022, [地质通报, Geological Bulletin of China], V41, P1487
   Nguyen TN, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020179
   Tian GJ, 2011, ECOL MODEL, V222, P1129, DOI 10.1016/j.ecolmodel.2010.12.018
   Waheed SA, 2021, SAGE OPEN, V11, DOI 10.1177/21582440211058195
   Wang MW, 2021, APPL NANOSCI, DOI 10.1007/s13204-021-02057-2
   Wang W.L., DOER URBAN RENEWAL I
   Wang X., 2020, Modern Bus, V27, P23, DOI [10.14097/j.cnki.5392/2020.27.009, DOI 10.14097/J.CNKI.5392/2020.27.009]
   Wang Y., 2017, BUS EC, V492, P24, DOI [10.3969/j.issn.1009-6043.2017.08.011, DOI 10.3969/J.ISSN.1009-6043.2017.08.011]
   Wang Y, 2018, J MT SCI-ENGL, V15, P2730, DOI 10.1007/s11629-017-4798-9
   Wei N.N., 2022, SCI TECHNOL MANAG LA, V39, P46, DOI [10.3969/j.issn.1009-4210.2022.01.005, DOI 10.3969/J.ISSN.1009-4210.2022.01.005]
   Xi X, 2021, INT J APPL EARTH OBS, V102, DOI 10.1016/j.jag.2021.102410
   Xie FY, 2021, LAND-BASEL, V10, DOI 10.3390/land10050545
   Yang D.S., 2020, BUS EC, V1, P31, DOI [10.3969/j.issn.1009-6043.2020.01.009, DOI 10.3969/J.ISSN.1009-6043.2020.01.009]
   Yang HF, 2021, HUM ECOL RISK ASSESS, V27, P606, DOI 10.1080/10807039.2020.1744426
   Yang LA, 2023, J GEOGR SCI, V33, P823, DOI 10.1007/s11442-023-2108-8
   Zhang L, 2022, GEOPHYS J INT, V230, P1546, DOI 10.1093/gji/ggac135
   Zhang Y., 2009, International Business Research, V2, P28, DOI DOI 10.4018/JEBR.2006070103
   Zhao Y., 2023, ARCHIT URBAN, V20, P22, DOI [10.19892/j.cnki.csjz.2023.08.06, DOI 10.19892/J.CNKI.CSJZ.2023.08.06]
   Zheng HW, 2014, HABITAT INT, V41, P272, DOI 10.1016/j.habitatint.2013.08.006
   Zhou Q., 2019, AGR JILIN, V2, P47, DOI [10.14025/j.cnki.jlny.2019.02.011, DOI 10.14025/J.CNKI.JLNY.2019.02.011]
NR 66
TC 0
Z9 1
U1 6
U2 64
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUL
PY 2023
VL 12
IS 7
AR 1377
DI 10.3390/land12071377
PG 26
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA N3KD3
UT WOS:001036033200001
OA gold
DA 2025-04-22
ER

PT J
AU Cuca, B
   Agapiou, A
AF Cuca, Branka
   Agapiou, Athos
TI Contribution of Earth Observation and Geospatial Information for Urban
   Planning of Historic Cities' Centres: The Case Study of Nicosia, Cyprus
SO SUSTAINABILITY
LA English
DT Article
DE Landsat-5; Sentinel-2; Copernicus program; Sustainable Development
   Goals; urban changes; urban planning; Open Data; Venetian walls;
   cultural heritage
ID BUILT-UP INDEX; SPRAWL; IMPACT; AREAS; CITY
AB The Sustainable Development Goals (SDGs) of the United Nations state that cities and human settlements need to be more inclusive, safe and resilient. In Europe cities have experienced dramatic physical, social and economic changes during the last decades while historic centres of European cities, among the most important assets of the European cultural heritage, are living paradoxes. They are defined as "a collection of beauty, icon of well-being, model of sustainability, but abandoned". This study investigates the changes in the urban landscape of Nicosia, a particular historical centre in the Mediterranean region (Cyprus). The city centre is characterised by exceptionally well-preserved Venetian fortifications. Due to political circumstances, the capital of Cyprus, Nicosia, is still divided and has been ruled by two different administrations for several decades. This study used optical multi-spectral satellite datasets processing, like the Landsat and the most recent Sentinel-2 products, to detect, identify and characterise significant morphological transformations within the walled city and around it. This paper's central thesis promotes a more systematic use of earth observation products and derivatives in decision-making processes that regard planning, use and management of urban resources in Europe, especially in support of urban planning strategies of historic cities.
C1 [Cuca, Branka] Politecn Milan, Dept Architecture Built Environm & Construct Engn, I-20133 Milan, Italy.
   [Agapiou, Athos] Cyprus Univ Technol, Fac Engn & Technol, Dept Civil Engn & Geomat, CY-3036 Limassol, Cyprus.
   [Agapiou, Athos] Eratosthenes Ctr Excellence, CY-3036 Limassol, Cyprus.
C3 Polytechnic University of Milan; Cyprus University of Technology
RP Cuca, B (corresponding author), Politecn Milan, Dept Architecture Built Environm & Construct Engn, I-20133 Milan, Italy.
EM branka.cuca@polimi.it; athos.agapiou@cut.ac.cy
RI Agapiou, Athos/J-3960-2015
OI Agapiou, Athos/0000-0001-9106-6766; CUCA, BRANKA/0000-0002-0428-5096
CR Agapiou A, 2015, J CULT HERIT, V16, P671, DOI 10.1016/j.culher.2014.12.006
   Banzhaf E, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13091744
   Palafox-Juárez EB, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10020076
   Bhatta B, 2010, ADV GEOGR INFORM SCI, P49, DOI 10.1007/978-3-642-05299-6_4
   Campagna M, 2012, ENVIRON PLANN B, V39, P1069, DOI 10.1068/b38006
   Cuca B, 2020, LECT NOTES COMPUT SC, V12252, P813, DOI 10.1007/978-3-030-58811-3_58
   El Garouani Abdelkader, 2017, International Journal of Sustainable Built Environment, V6, P160, DOI 10.1016/j.ijsbe.2017.02.003
   Empler T., 2018, PROSSIMO PAESAGGIO, P45
   Feng DR, 2021, LAND-BASEL, V10, DOI 10.3390/land10030286
   Firozjaei MK, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12172854
   García-Hernández M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081346
   Georgiadou P Y., 2006, URISA Journal, V18, P43
   Ghazaryan G, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13091694
   He CY, 2010, REMOTE SENS LETT, V1, P213, DOI 10.1080/01431161.2010.481681
   Janssen K, 2012, INT J SPAT DATA INFR, V7, P249, DOI 10.2902/1725-0463.2012.07.art13
   Ji W, 2006, COMPUT ENVIRON URBAN, V30, P861, DOI 10.1016/j.compenvurbsys.2005.09.002
   Kadhim N, 2016, EURO-MEDITERR J ENVI, V1, DOI 10.1007/s41207-016-0007-4
   Kowe P, 2021, INT J REMOTE SENS, V42, P3797, DOI 10.1080/01431161.2021.1881185
   Kukulska-Koziel A, 2019, LAND USE POLICY, V85, P328, DOI 10.1016/j.landusepol.2019.03.033
   Marchesi P., 1984, FORTEZZE VENEZIANE 1, V1st ed., P84
   Martin O., 2009, WORLD HERITAGE PAPER, V25
   Moise C, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031406
   Osgouei PE, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11030345
   Peijun DU., 2010, Mining Science and Technology, V20, P0922, DOI [DOI 10.1016/S1674-5264(09)60308-2.6, 10.1016/S1674-5264(09)60308-2, DOI 10.1016/S1674-5264(09)60308-2]
   Pellegrini P, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11092614
   Polydoros A, 2015, URBAN CLIM, V14, P166, DOI 10.1016/j.uclim.2015.10.004
   Salata S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052494
   Tanrikul A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11164483
   UNFICYP, BUFF ZON BUFF ZON
   Wentz EA, 2014, REMOTE SENS-BASEL, V6, P3879, DOI 10.3390/rs6053879
   Zha Y, 2003, INT J REMOTE SENS, V24, P583, DOI 10.1080/01431160304987
NR 31
TC 0
Z9 0
U1 1
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2021
VL 13
IS 13
AR 7023
DI 10.3390/su13137023
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TG1EY
UT WOS:000671155700001
OA Green Submitted, Green Published
DA 2025-04-22
ER

PT J
AU Duguma, LA
   van Noordwijk, M
   Minang, PA
   Muthee, K
AF Duguma, Lalisa A.
   van Noordwijk, Meine
   Minang, Peter A.
   Muthee, Kennedy
TI COVID-19 Pandemic and Agroecosystem Resilience: Early Insights for
   Building Better Futures
SO SUSTAINABILITY
LA English
DT Article
DE anthropause; COVID-19; pandemic; impact pathways; natural resources;
   developing countries; resilience; restoration
ID FOOD
AB The way the COVID-19 pandemic disrupted human lives and livelihoods constituted a stress test for agroecosystems in developing countries, as part of rural-urban systems and the global economy. We applied two conceptual schemes to dissect the evidence in peer-reviewed literature so far, as a basis for better understanding and enabling 'building back better'. Reported positive impacts of the lockdown 'anthropause' on environmental conditions were likely only short-term, while progress towards sustainable development goals was more consistently set back especially for social aspects such as livelihood, employment, and income. The loss of interconnectedness, driving loss of assets, followed a 'collapse' cascade that included urban-to-rural migration due to loss of urban jobs, and illegal exploitation of forests and wildlife. Agricultural activities geared to international trade were generally disrupted, while more local markets flourished. Improved understanding of these pathways is needed for synergy between the emerging adaptive, mitigative, transformative, and reimaginative responses. Dominant efficiency-seeking strategies that increase fragility will have to be re-evaluated to be better prepared for further pandemics, that current Human-Nature interactions are likely to trigger.
C1 [Duguma, Lalisa A.; van Noordwijk, Meine; Minang, Peter A.; Muthee, Kennedy] World Agroforestry ICRAF, UN Ave,POB 30677, Nairobi 00100, Kenya.
   [van Noordwijk, Meine] Wageningen Univ, Plant Prod Syst, NL-6708 PB Wageningen, Netherlands.
C3 CGIAR; World Agroforestry (ICRAF); Wageningen University & Research
RP Duguma, LA (corresponding author), World Agroforestry ICRAF, UN Ave,POB 30677, Nairobi 00100, Kenya.
EM L.A.DUGUMA@CGIAR.ORG; M.VANNOORDWIJK@CGIAR.ORG; A.MINANG@CGIAR.ORG;
   K.MUTHEE@CGIAR.ORG
RI Muthee, Kennedy/AAY-2155-2020; van Noordwijk, Meine/C-3338-2008; Duguma,
   Lalisa/HKP-2420-2023; van Noordwijk, Meine/JRX-7633-2023
OI van Noordwijk, Meine/0000-0002-7791-4703; Duguma,
   Lalisa/0000-0001-8282-4406; Muthee, Kennedy/0000-0002-4279-1010
FU Forest, Trees and Agroforestry Program of the CGIAR (FTA Flagship 5)
FX The authors acknowledge the support of the Forest, Trees and
   Agroforestry Program of the CGIAR (FTA Flagship 5) for the financial
   support.
CR Altieri MA, 2020, J PEASANT STUD, V47, P881, DOI 10.1080/03066150.2020.1782891
   [Anonymous], International tourism and covid-19
   [Anonymous], ABC NEWS
   [Anonymous], 2016, OECD Economic Outlook, V2016
   [Anonymous], TELEGRAPH
   Austin Beau J., 2020, Working paper analysing the economic implications of the proposed 30% target for areal protection in the draft post-2020 Global Biodiversity Framework
   Baker SR, 2020, REV ASSET PRICING ST, V10, P834, DOI 10.1093/rapstu/raaa009
   Barry JM, 2010, WORLD POLICY J, V27, P10, DOI 10.1162/wopj.2010.27.2.10
   BARTELS L, 1977, ANTHROPOS, V72, P497
   Bates AE, 2020, BIOL CONSERV, V248, DOI 10.1016/j.biocon.2020.108665
   Berger U., 2020, ARXIV 2020 ARXIV 200
   Bhowmick GD, 2020, NPJ CLEAN WATER, V3, DOI 10.1038/s41545-020-0079-1
   Bijl R, 2011, SOC INDIC RES, V102, P157, DOI 10.1007/s11205-010-9736-y
   Bonaccorsi G, 2020, P NATL ACAD SCI USA, V117, P15530, DOI 10.1073/pnas.2007658117
   Büscher B, 2017, ORYX, V51, P407, DOI 10.1017/S0030605316001228
   CBD, UPDATE ZERO DRAFT PO
   Ceballos F, 2020, WORLD DEV, V136, DOI 10.1016/j.worlddev.2020.105069
   Cheval S, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17114140
   Clemens J., 2020, Implications of the Covid-19 pandemic for state government tax revenues
   Corlett RT, 2020, BIOL CONSERV, V246, DOI 10.1016/j.biocon.2020.108571
   Coscieme L., 2020, WOMEN POWER FEMALE L, DOI [10.1101/2020.07.13.20152397, DOI 10.1101/2020.07.13.20152397]
   Das K., IMPACT COVID 19 PAND
   Dessler A.E., 2019, The science and politics of global climate change: A guide to the debate
   Devereux S, 2020, FOOD SECUR, V12, P769, DOI 10.1007/s12571-020-01085-0
   Diffenbaugh NS, 2020, NAT REV EARTH ENV, V1, P470, DOI 10.1038/s43017-020-0079-1
   Dinerstein E, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw2869
   Djalante R, 2020, PROG DISASTER SCI, V6, DOI 10.1016/j.pdisas.2020.100091
   Espejo W, 2020, SCI TOTAL ENVIRON, V747, DOI 10.1016/j.scitotenv.2020.141314
   Farias DD, 2020, TRENDS FOOD SCI TECH, V103, P361, DOI 10.1016/j.tifs.2020.05.023
   Flaherty K., 2009, AGR POLICIES SUBSAHA, V48
   Garg V, 2020, GEOMAT NAT HAZ RISK, V11, P1175, DOI 10.1080/19475705.2020.1782482
   Karesh WB, 2012, LANCET, V380, P1936, DOI 10.1016/S0140-6736(12)61678-X
   Lal R, 2020, SOIL SYST, V4, DOI 10.3390/soilsystems4030046
   Lamichhane JR, 2021, CROP PROT, V139, DOI 10.1016/j.cropro.2020.105383
   Leberger R, 2020, BIOL CONSERV, V241, DOI 10.1016/j.biocon.2019.108299
   Lendelvo S., 2020, Namibian Journal of Environment, V4, P1
   Loayza NV, 2020, Macroeconomic policy in the time of COVID-19 Internet
   Lokhandwala S, 2020, ENVIRON RES, V188, DOI 10.1016/j.envres.2020.109807
   Lopez-Feldman A., 2020, RESOUR EC, V13, P6, DOI [10.1007/s10640-020-00460-x, DOI 10.1007/S10640-020-00460-X]
   MacKinnon K, 2020, Parks Stewardship Forum, V36, P281, DOI [10.5070/P536248273, DOI 10.5070/P536248273]
   Maher CS, 2020, PUBLIC ADMIN REV, V80, P644, DOI 10.1111/puar.13238
   Manenti R, 2020, BIOL CONSERV, V249, DOI 10.1016/j.biocon.2020.108728
   McNamara J, 2020, ENVIRON RESOUR ECON, V76, P1045, DOI 10.1007/s10640-020-00474-5
   Minang P.A., 2014, Climate-smart landscapes: Multifunctionality in practice
   Mishra A, 2021, SCI TOTAL ENVIRON, V754, DOI 10.1016/j.scitotenv.2020.142210
   Mollentze N, 2020, P NATL ACAD SCI USA, V117, P9423, DOI 10.1073/pnas.1919176117
   Morse SS, 2012, LANCET, V380, P1956, DOI 10.1016/S0140-6736(12)61684-5
   Morton J, 2020, WORLD DEV, V136, DOI 10.1016/j.worlddev.2020.105132
   National Geographic, POACHING THREATS LOO
   Newsome D, 2021, J TOUR FUTURES, V7, P295, DOI 10.1108/JTF-04-2020-0053
   Nicola M, 2020, INT J SURG, V78, P185, DOI 10.1016/j.ijsu.2020.04.018
   Noordwijk M. van, 1997, Agroforestry Today, V9, P6
   Noss RF, 2012, CONSERV BIOL, V26, P1, DOI 10.1111/j.1523-1739.2011.01738.x
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   OECD, Building Back Better: A Sustainable, Resilient Recovery after COVID-19
   Oldekop JA, 2020, WORLD DEV, V134, DOI 10.1016/j.worlddev.2020.105044
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Paital B, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.139088
   Silva ALP, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140565
   Peeri NC, 2020, INT J EPIDEMIOL, V49, P717, DOI 10.1093/ije/dyaa033
   Petrikova I, 2020, LANCET PLANET HEALTH, V4, pE213, DOI 10.1016/S2542-5196(20)30122-4
   Petropoulos F, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0231236
   Reardon T., 2020, ECON POLIT WEEKLY, V55, P18
   Rondeau D, 2020, ENVIRON RESOUR ECON, V76, P945, DOI 10.1007/s10640-020-00480-7
   Saadat S, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138870
   Secretariat of the Convention on Biological Diversity, GLOBAL BIODIVERSITY
   Singh SK, 2020, AIMS PUBLIC HEALTH, V7, P393, DOI 10.3934/publichealth.2020033
   Smith MD, 2020, J NUTR, V150, P2855, DOI 10.1093/jn/nxaa270
   Taleb NN, 2013, QUANT FINANC, V13, P1677, DOI 10.1080/14697688.2013.800219
   Tata H.L., 2019, Sustainable Development Through Trees on Farms: Agroforestry in its Fifth Decade, P251
   Valenzuela H, 2016, HORTICULTURAE, V2, DOI 10.3390/horticulturae2010002
   van Noordwijk M., 2012, Agroforestry-The Future of Global Land Use, P69, DOI [DOI 10.1007/978-94-007, DOI 10.1007/978-94-007-4676-38]
   van Noordwijk M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080243
   van Noordwijk M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080251
   van Noordwijk M, 2018, CURR OPIN ENV SUST, V34, P33, DOI 10.1016/j.cosust.2018.09.003
   van Noordwijk M, 2019, AGR SYST, V172, P60, DOI 10.1016/j.agsy.2017.10.008
   van Noordwijk M, 2014, GLOB FOOD SECUR-AGR, V3, P200, DOI 10.1016/j.gfs.2014.10.005
   van Noordwijk M, 2012, ANNU REV ENV RESOUR, V37, P389, DOI 10.1146/annurev-environ-042511-150526
   Vos R., 2020, Poverty and food insecurity could grow dramatically as COVID-19 spreads
   Waibel H, 2020, FOOD SECUR, V12, P779, DOI 10.1007/s12571-020-01069-0
   Wang D., 2020, AMPLIFIED 2 OUTBREAK, DOI [10.1101/2020.07.15.20154161, DOI 10.1101/2020.07.15.20154161]
   WHO, CORONAVIRUS DIS COVI
   Wilson E.O., 2016, HALF EARTH
   Windsor LC, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0244531
   Woolston C, 2020, NATURE, V585, P309, DOI 10.1038/d41586-020-02548-2
   Zellmer AJ, 2020, ECOSPHERE, V11, DOI 10.1002/ecs2.3215
   Zomer RJ, 2016, SCI REP-UK, V6, DOI 10.1038/srep29987
   Zuhr R., 2020, ARE DONOR COUNTRIES
NR 88
TC 25
Z9 25
U1 3
U2 20
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2021
VL 13
IS 3
AR 1278
DI 10.3390/su13031278
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA QD6UY
UT WOS:000615651700001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Bush, J
   Doyon, A
AF Bush, Judy
   Doyon, Andreanne
TI Planning a just nature-based city: Listening for the voice of an urban
   river*
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Nature -based solutions; Urban planning; Traditional ecological
   knowledge; Melbourne Australia; Epistemic justice; rights of nature
ID ENVIRONMENTAL JUSTICE; CLIMATE JUSTICE; BIODIVERSITY; LESSONS; CITIES
AB Cities are under intensifying pressure to respond to climate change and growing social inequities. Integrating nature-based solutions, as part of essential city infrastructure, contributes to resilient, liveable and equitable cities, as well as provision of biodiversity habitat. There is increasing focus on how concepts of justice can be embedded in these planning and governance processes. This paper proposes a framework to inform planning for just nature-based cities. It brings together concepts of just city, environmental and climate justice and more-thanhuman thinking, with research on urban nature-based solutions. It highlights the centrality of epistemic justice, and the importance of Traditional Ecological Knowledge in just nature-based city planning and governance. The just nature-based city framework is applied to the case study of the Yarra River (Melbourne, Australia). In 2017, the Yarra River Protection (Wilip-gin Birrarung murron) Act, the first legislation in Australia to be co-titled in the Traditional Owners' language, legally recognised the river as a single living and integrated natural entity. Applying the just nature-based city framework, we find that there are both opportunities and challenges in this new approach to planning. While the Act and associated programs represent substantial and innovative advances, their scope is limited by exclusion of key policy domains and a focus on waterway corridor rather than catchment. The paper concludes by reinforcing the importance of a broadened understanding of justice, that spans both human and non-human considerations, and foregrounds Traditional Owners' perspectives and aspirations in designing, planning and governing just nature-based cities.
C1 [Bush, Judy] Univ Melbourne, Melbourne, Vic 3010, Australia.
   [Doyon, Andreanne] Simon Fraser Univ, 8888 Univ Dr, Burnaby, BC, Canada.
C3 University of Melbourne; Simon Fraser University
RP Bush, J (corresponding author), Univ Melbourne, Melbourne, Vic 3010, Australia.
EM judy.bush@unimelb.edu.au; andreanne.doyon@sfu.ca
OI Bush, Judy/0000-0002-7847-6610; Doyon, Andreanne/0000-0002-1165-8751
CR Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Bacchi C., 2009, Analysing policy: what's the problem represented to be?
   Barnett J., 2006, FAIRNESS ADAPTATION, P115
   Birch T., 2018, GRIFFITH REV, V60, P207
   Birrarung Council, 2020, BIRR COUNC VOIC YARR
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Charles C, 2020, ECOPSYCHOLOGY, V12, P65, DOI 10.1089/eco.2020.0020
   Cohen-Shacham E., 2016, Nature-based Solutions to address global societal challenges, V97, P2016, DOI DOI 10.2305/IUCN.CH.2016.13.EN
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   CoM and MSI, 2016, CAR COUNTR URB APPL
   Cousins JJ, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106874
   Cumpston Z., 2019, ADELAIDE REV
   Cumpston Z, 2022, Plants: Past, Present and Future
   Cumpston Z, 2020, Cities are country: Illuminating Aboriginal perspectives of biodiversity in urban environments'
   Diaz-Reviriego I, 2019, NAT SUSTAIN, V2, P457, DOI 10.1038/s41893-019-0290-6
   EJA, 2021, WHO WE AR ENV JUST A
   Fainstein SS, 2014, INT J URBAN SCI, V18, P1
   Fincher R., 2008, Planning and Diversity in the City: Redistribution, Recognition and Encounter
   Flannery Tim., 2002, The Birth of Melbourne
   Franklin A, 2017, SOCIOL REV, V65, P202, DOI 10.1111/1467-954X.12396
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Gammage Bill., 2011, The Biggest Estate on Earth: How Aborigines Made Australia
   Gustafsson KM, 2019, ECOSYST PEOPLE, V15, P181, DOI 10.1080/26395916.2019.1628105
   Harvey D, 2003, INT J URBAN REGIONAL, V27, P939, DOI 10.1111/j.0309-1317.2003.00492.x
   Hernandez J, 2019, ENVIRON JUSTICE, V12, P175, DOI 10.1089/env.2019.0005
   Hughes S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.640
   IUCN, 2020, Global standard for nature-based solutions. A user-friendly framework for the verification, design and scaling up of NbS, DOI DOI 10.2305/IUCN.CH.2020.08.EN
   Ives CD, 2016, GLOBAL ECOL BIOGEOGR, V25, P117, DOI 10.1111/geb.12404
   Jafry T., 2019, Routledge handbook of climate justice, P1
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kimmerer Robin Wall, 2013, Braiding Sweetgrass
   Kowarik I, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124964
   Lam DPM, 2020, ECOL SOC, V25, DOI 10.5751/ES-11305-250103
   Langton Marcia., 2018, WELCOME COUNTRY TRAV
   Lefebvre H., 1968, WRITINGS CITIES, P147
   Lindsay B, 2020, ENVIRON PLAN LAW J, V37, P338
   Lyster R., 2016, CLIMATE JUSTICE DISA
   MacArthur J, 2018, ENERGY RES SOC SCI, V43, P16, DOI 10.1016/j.erss.2018.05.009
   Maller C., 2018, Healthy Urban Environments: More-than-Human Theories
   Maller C, 2021, CITIES, V113, DOI 10.1016/j.cities.2021.103155
   McDonald R.I., 2018, Nature in the Urban Century
   McGregor D., 2018, INDIGENOUS ENV JUSTI, V5, P279
   Melbourne Water, 2020, DRAFT YARRA STRATEGI
   Nicholson M., 2018, 14 AUSTR URB HIST PL
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   O'Bryan K, 2019, WATER INT, V44, P769, DOI 10.1080/02508060.2019.1616370
   O'Donnell E, 2019, AUSTRALAS J WAT RESO, V23, P35, DOI 10.1080/13241583.2018.1552545
   Oke C., 2021, NPJ URBAN SUSTAIN, V1, P1, DOI [10.1038/s42949-020-00010-w, DOI 10.1038/S42949-020-00010-W, 10.1038/S42949-020-00010-W]
   Pineda-Pinto M, 2022, AMBIO, V51, P167, DOI 10.1007/s13280-021-01553-7
   Porter L., 2020, Understanding urbanism, P15
   Porter L, 2020, AUST GEOGR, V51, P221, DOI 10.1080/00049182.2020.1740388
   Porter L, 2018, AUST GEOGR, V49, P239, DOI 10.1080/00049182.2018.1456301
   Presland Gary, 2008, The Place for a Village: How Nature Has Shaped the City of Melbourne
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Rey J, 2018, ALTERNATIVE, V14, P81, DOI 10.1177/1177180117751930
   Robertson SA, 2018, GEOGR COMPASS, V12, DOI 10.1111/gec3.12367
   Robinson M., 2018, CLIMATE JUSTICE MAN
   Rodgers C., 2020, Environ. Law Rev, V22, P165, DOI DOI 10.1177/1461452920934667
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Sen A., 2000, Development as freedom anchor
   Smith LindaTuhiwai., 2012, Decolonizing Methodologies: Research and Indigenous Peoples, V2nd
   Soanes K, 2019, FRONT ECOL ENVIRON, V17, P225, DOI 10.1002/fee.2032
   Soga M, 2021, ECOL APPL, V31, DOI 10.1002/eap.2248
   Steele W, 2015, CURR OPIN ENV SUST, V14, P121, DOI 10.1016/j.cosust.2015.05.004
   Steele W, 2012, INT PLAN STUD, V17, P67, DOI 10.1080/13563475.2011.638188
   Temper L, 2019, LOCAL ENVIRON, V24, P94, DOI 10.1080/13549839.2018.1536698
   Tengö M, 2017, CURR OPIN ENV SUST, V26-27, P17, DOI 10.1016/j.cosust.2016.12.005
   Tregonning S.R., 2017, ENV VICTORIA NEWS, P7
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Walker Gordon., 2011, Environmental Justice: Concepts, Evidence and Politics, DOI DOI 10.4324/9780203610671
   Widenhorn S., 2013, Development (London), V56, P378, DOI 10.1057/dev.2014.6
   Xie LJ, 2020, ENVIRON SCI POLICY, V110, P77, DOI 10.1016/j.envsci.2020.04.002
   Yarra River Community Assembly, 2018, Yarra River 50-year Community Vision: Wilip-gin Birrarung Murron
   YRKA, 2020, US YARRA RIVERKEEPER
   YRPMAC, 2016, PROTECTING YARRA RIV
   Yunkaporta T., 2020, Journal of Indigenous Research, V8: Iss, P2020, DOI [10.26077/ky71-qt27, DOI 10.26077/KY71-QT27]
NR 79
TC 9
Z9 9
U1 9
U2 37
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD MAY
PY 2023
VL 143
BP 55
EP 63
DI 10.1016/j.envsci.2023.02.023
EA MAR 2023
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA C4UU6
UT WOS:000961891900001
OA hybrid
DA 2025-04-22
ER

PT J
AU Machado, C Jr
   Ribeiro, DMNM
   Viana, ABN
AF Machado Junior, Celso
   Nassif Mantovani Ribeiro, Daielly Melina
   Noronha Viana, Adriana Backx
TI Public health in times of crisis: An overlooked variable in city
   management theories?
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE COVID-19; Pandemics; Smart cities; Urban planning; Urban governance;
   Resilient City
ID SMART CITIES; SUSTAINABLE CITIES; WASTE MANAGEMENT; SYSTEMS; FUTURE;
   GUIDELINES; INTERNET; DESIGN; THINGS; THREAT
AB The volume of research that associates the theme of city management with crises resulting from emerging infectious disease is modest, even after the occurrences of Ebola and Severe Acute Respiratory Syndrome. Similarly, the Coronavirus disease (COVID-19) pandemic has thus far contributed only modestly to the expansion of attention to people's health, through city management, in times of crisis. This study, by means of a systematic literature review, analyzes the gap in research on urban theory on how epidemics are confronted. The term "cities" had 2,440,607 articles published and were identified 665 that presents the combination of the term "pandemic". After the development of content analysis were identified 11 articles prior to 2019 and 10 articles published between January and June 2020, adhering to the objective of this investigation. Prior to 2019 studies addressed topics related to the construction of an urban structure aimed at reducing people's vulnerability to infectious diseases, starting in 2020, the focus of researchers' attention is on the use of information and communication technologies used as tools for prevention and control. Theories of the management of cities indicate the need to extrapolate the urban perimeter, incorporating the relations of dependence in cities with the other actors within the surroundings, especially in times of crisis. Studies have emphasized that cities are not isolated islands; rather, they are parts of a complex system with multiple exchanges. This thematic field of study enhances research that presents urban planning solutions by using data-driven management to consider conduct, parameters, and protocols relating to public health in moments of crisis.
C1 [Machado Junior, Celso; Nassif Mantovani Ribeiro, Daielly Melina; Noronha Viana, Adriana Backx] Univ Sao Paulo, Ave Prof Luciano Gualberto,908 FEA USP Sala G-175, BR-05508900 Sao Paulo, SP, Brazil.
C3 Universidade de Sao Paulo
RP Machado, C Jr (corresponding author), Univ Municipal Sao do Caetano, Rua Conceicao,321 Santo Antonio, BR-09530060 Sao Caetano do Sul, SP, Brazil.
EM celsomachado1@gmail.com; daielly@usp.br; backx@usp.br
RI Viana, Adriana/KIE-6292-2024; Machado, Celso/Q-7852-2017; Machado
   Junior, Celso/LTE-9951-2024
OI Mantovani, Daielly/0000-0001-6320-3268; Machado Junior,
   Celso/0000-0003-3835-2979; Backx Noronha Viana,
   Adriana/0000-0001-7727-0656
CR Acuto M, 2020, ONE EARTH, V2, P317, DOI 10.1016/j.oneear.2020.04.004
   Akande A, 2019, SUSTAIN CITIES SOC, V44, P475, DOI 10.1016/j.scs.2018.10.009
   Al-Turjman F, 2019, IEEE ACCESS, V7, P115749, DOI 10.1109/ACCESS.2019.2931637
   Alavi AH, 2018, MEASUREMENT, V129, P589, DOI 10.1016/j.measurement.2018.07.067
   Allam Z, 2020, AI-BASEL, V1, P156, DOI 10.3390/ai1020009
   Allam Z, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104805
   Allam Z, 2020, HEALTHCARE-BASEL, V8, DOI 10.3390/healthcare8010046
   Barns S., 2018, CITY CULTURE SOC, V12, P5, DOI DOI 10.1016/J.CCS.2017.09.006
   Beck E, 2004, NEW YORK TIMES
   Boeing G, 2021, INT J INFORM MANAGE, V56, DOI 10.1016/j.ijinfomgt.2019.09.009
   Bragazzi NL, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17093176
   Cervellati M, 2017, J POPUL ECON, V30, P401, DOI 10.1007/s00148-016-0626-8
   Chan EYY, 2017, INT J DISAST RISK SC, V8, P134, DOI 10.1007/s13753-017-0127-8
   Choi BCK, 2012, SCIENTIFICA, V2012, DOI 10.6064/2012/875253
   Coleman KK, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-35896-1
   Cooper H.M., 1988, Knowledge in Society, V1, P104, DOI [10.1007/BF03177550, DOI 10.1007/BF03177550]
   Dato V, 2004, PUBLIC HEALTH REP, V119, P464, DOI 10.1016/j.phr.2004.07.003
   Dawson W, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007221
   Delgado M, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118460
   Eakin JM, 2003, J EVAL CLIN PRACT, V9, P187, DOI 10.1046/j.1365-2753.2003.00392.x
   Egidi G, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102148
   Esmaeilian B, 2018, WASTE MANAGE, V81, P177, DOI 10.1016/j.wasman.2018.09.047
   Espinoza-Arias P, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9010032
   Ferretti L, 2020, SCIENCE, V368, P619, DOI 10.1126/science.abb6936
   Fu Y, 2017, CITIES, V60, P113, DOI 10.1016/j.cities.2016.08.003
   Futcher J, 2017, CITIES, V66, P63, DOI 10.1016/j.cities.2017.03.009
   Gandy M, 2005, INT J URBAN REGIONAL, V29, P26, DOI 10.1111/j.1468-2427.2005.00568.x
   Gandy Matthew., 2006, HIST GEOGRAPHY, V34, P14
   Greha S, 2020, DAILY TELEGRAPH
   Günaydin AS, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102202
   Hartig T, 2016, SCIENCE, V352, P938, DOI 10.1126/science.aaf3759
   Hua JL, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17072309
   Johnson PA, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2019.101414
   Keil R, 2007, ANTIPODE, V39, P846, DOI 10.1111/j.1467-8330.2007.00555.x
   Kourtit K, 2013, REG SCI POLICY PRACT, V5, P167, DOI 10.1111/rsp3.12002
   Krumkamp R, 2009, HEALTH POLICY, V92, P21, DOI 10.1016/j.healthpol.2009.01.006
   Kuecker GD, 2008, URBAN HIST REV, V36, P18, DOI 10.7202/1019168ar
   Kummitha RKR, 2020, TECHNOL FORECAST SOC, V157, DOI 10.1016/j.techfore.2020.120087
   Kummitha RKR, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2020.101481
   Kummitha RKR, 2019, TECHNOL FORECAST SOC, V140, P44, DOI 10.1016/j.techfore.2018.12.001
   Kunst R, 2018, COMPUT NETW, V134, P228, DOI 10.1016/j.comnet.2018.01.042
   Lai Y, 2020, JMIR PUBLIC HLTH SUR, V6, P199, DOI 10.2196/18873
   Lipsitch M, 2009, NEW ENGL J MED, V361, P112, DOI 10.1056/NEJMp0904380
   Machado C, 2018, J CLEAN PROD, V199, P214, DOI 10.1016/j.jclepro.2018.07.072
   Macke J, 2019, J CLEAN PROD, V239, DOI 10.1016/j.jclepro.2019.118103
   Mapar M, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102164
   Marques P, 2019, AD HOC NETW, V87, P200, DOI 10.1016/j.adhoc.2018.12.009
   Matthew RA, 2006, J AM PLANN ASSOC, V72, P109, DOI 10.1080/01944360608976728
   Monostori L, 2016, CIRP ANN-MANUF TECHN, V65, P621, DOI 10.1016/j.cirp.2016.06.005
   Neiderud Carl-Johan, 2015, Infection Ecology & Epidemiology, V5, P27060, DOI 10.3402/iee.v5.27060
   Neuert Don., 2017, Bridging the Gap: To What Extent Do Socioeconomic Barriers Impede Response to Emerging Public Health Threats?" Masters thesis, Naval Post Graduate School
   Paré G, 2015, INFORM MANAGE-AMSTER, V52, P183, DOI 10.1016/j.im.2014.08.008
   Park YJ, 2020, OSONG PUBLIC HEALTH, V11, P118, DOI 10.24171/j.phrp.2020.11.3.06
   Patan R, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102141
   Patel H., 2019, Journal of Advances in Shell Programming
   Paulchamy B., 2019, Asian Journal of Applied Science and Technology, V2, P387
   Petersen K, 2015, INFORM SOFTWARE TECH, V64, P1, DOI 10.1016/j.infsof.2015.03.007
   Prior T., 2013, Journal of Strategic Security, V6, P59
   Queiroz MM, 2022, ANN OPER RES, V319, P1159, DOI 10.1007/s10479-020-03685-7
   Ringel JS, 2009, DISASTER MED PUBLIC, V3, pS160, DOI 10.1097/DMP.0b013e3181ad1833
   Rodwin VG, 2002, J URBAN HEALTH, V79, P445, DOI 10.1093/jurban/79.4.445
   Schwab Klaus, 2019, The Global Competitiveness Report
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Sharma M, 2020, J CLEAN PROD, V270, DOI 10.1016/j.jclepro.2020.122047
   Siegrist DW, 1999, EMERG INFECT DIS, V5, P505, DOI 10.3201/eid0504.990407
   Simonofski A, 2021, INT J INFORM MANAGE, V56, DOI 10.1016/j.ijinfomgt.2019.09.007
   Smolinski MS., 2003, Microbial Threats to Health: Emergence, Detection, and Response
   Spencer JH, 2020, LANDSCAPE URBAN PLAN, V193, DOI 10.1016/j.landurbplan.2019.103681
   Thomson B., 2020, DAILY MAIL
   Timpka T, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017941
   Timpka T, 2009, B WORLD HEALTH ORGAN, V87, P305, DOI 10.2471/BLT.07.050203
   Tong LY, 2019, HABITAT INT, V94, DOI 10.1016/j.habitatint.2019.102070
   Webster J, 2002, MIS QUART, V26, pXIII
   WHETTEN DA, 1989, ACAD MANAGE REV, V14, P490, DOI 10.2307/258554
   Wolf M, 2016, INT J URBAN REGIONAL, V40, P958, DOI 10.1111/1468-2427.12381
   Yigitcanlar T, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20102988
   Yigitcanlar T, 2019, SUSTAIN CITIES SOC, V45, P348, DOI 10.1016/j.scs.2018.11.033
NR 77
TC 20
Z9 20
U1 1
U2 48
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD MAR
PY 2021
VL 66
AR 102671
DI 10.1016/j.scs.2020.102671
EA JAN 2021
PG 10
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA RH3VA
UT WOS:000636149400004
PM 36570570
OA Green Published
DA 2025-04-22
ER

PT J
AU Kronsell, A
   Mukhtar-Landgren, D
AF Kronsell, Annica
   Mukhtar-Landgren, Dalia
TI Experimental governance: the role of municipalities in urban living labs
SO EUROPEAN PLANNING STUDIES
LA English
DT Article
DE Meta-governance; collaboration; roles; partner; enabler; promoter
ID SUSTAINABILITY; GOVERNMENT; CITIES; CITY; LABORATORIES; PARTNERSHIPS;
   POLITICS; GERMANY; EUROPE; GREEN
AB Innovations in urban governance such as Urban Living Labs (ULL) are expected to accelerate the transition towards more sustainable and climate-resilient cities. This article reviews different ULL across Europe and explores the role and potential capacity of municipalities in the development of and/or facilitation of ULL as a form of experimental governance. It focuses on the role of the public sector in the multi-actor collaborations that often characterize experimental governance. The article draws on literature on cities in sustainability, climate and environmental governance, and bridges this with political science literature on governance. Based on institutional theory that emphasizes roles, identities, and perceived and actual acting space, three functional roles for the municipality are singled out - promoter, enabler and partner - in a framework with a set of indicators that are used to analyse 50 case studies of ULL (http://www.urbanlivinglabs.net). The aim is to advance knowledge on how municipalities can facilitate urban sustainability through experimental governance.
C1 [Kronsell, Annica; Mukhtar-Landgren, Dalia] Lund Univ, Dept Polit Sci, Lund, Sweden.
C3 Lund University
RP Kronsell, A (corresponding author), Lund Univ, Dept Polit Sci, Lund, Sweden.
EM annika.kronsell@svet.lu.se
RI Mukhtar-Landgren, Dalia/HOH-8793-2023
OI Mukhtar-Landgren, Dalia/0000-0002-0771-5821
FU JPI Urban Europe in the project Governance of Urban Sustainability
   Transitions; Swedish Research Council; University of Melbourne EU Center
   in Shared Complex Challenges
FX While the research contributing to this article was for the most part
   financed by JPI Urban Europe in the project Governance of Urban
   Sustainability Transitions, Mukhtar-Landgren's contribution was
   supported by a grant from the Swedish Research Council. The manuscript
   also benefitted from Kronsell's Visiting Fellowship Award granted in
   2017 by the University of Melbourne EU Center in Shared Complex
   Challenges.
CR Agranoff R, 2001, J PUBL ADM RES THEOR, V11, P295, DOI 10.1093/oxfordjournals.jpart.a003504
   [Anonymous], 2006, Fran hemvavd till invavd. Europeiseringen av svensk forvaltning och politik
   [Anonymous], 2016, United Cities and Local Governments and OECD
   [Anonymous], WORKING PAPER URBAN
   Bell S, 2009, J PUBLIC AFF, V9, P149, DOI 10.1002/pa.306
   Bulkeley H., 2011, Cities and the low carbon transition
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Castan Broto V., 2014, INFRACITY, P199
   Dyrberg B. T., 1997, CIRCULAR STRUCTURE P
   Evans J, 2014, INT J URBAN REGIONAL, V38, P413, DOI 10.1111/1468-2427.12077
   Evans J, 2016, GEOGR COMPASS, V10, P429, DOI 10.1111/gec3.12280
   Fenwick J, 2012, POLICY POLIT, V40, P405, DOI 10.1332/147084411X581907
   Frantzeskaki N, 2014, J CLEAN PROD, V65, P406, DOI 10.1016/j.jclepro.2013.09.023
   Frantzeskaki N, 2010, TECHNOL FORECAST SOC, V77, P1292, DOI 10.1016/j.techfore.2010.05.004
   Geels F, 2011, ROUTL STUD HUM GEOGR, V35, P13
   Godenhjelm S, 2015, INT J MANAG PROJ BUS, V8, DOI 10.1108/IJMPB-05-2014-0049
   Hodson M, 2010, RES POLICY, V39, P477, DOI 10.1016/j.respol.2010.01.020
   Hoppe T, 2015, SUSTAINABILITY-BASEL, V7, P1900, DOI 10.3390/su7021900
   Hysing E, 2011, ENVIRON PLANN C, V29, P693, DOI 10.1068/c10114
   Karvonen A, 2014, INT J URBAN REGIONAL, V38, P379, DOI 10.1111/1468-2427.12075
   Kern Kristine., 2008, Competitive Cities and Climate Change, V171
   Kivimaa P., 2015, SUSSEX WORKING PAPER
   Klijn EH, 2008, PUBLIC MANAG REV, V10, P505, DOI 10.1080/14719030802263954
   Kronsell A, 2013, LOCAL ENVIRON, V18, P965, DOI 10.1080/13549839.2012.748732
   Loughlin J., 2000, Subnational Democracy in the European Union: Challenges and Opportunities, P1
   Lundqvist LJ, 2017, J ENVIRON PLANN MAN, V60, P1092, DOI 10.1080/09640568.2016.1197827
   March J.G., 1989, REDISCOVERING I ORG
   McCormick K, 2013, J CLEAN PROD, V50, P1, DOI 10.1016/j.jclepro.2013.01.003
   Milward H.Brinton., 2000, J PUBL ADM RES THEOR, V10, P359, DOI [10.1093/oxfordjournals.jpart.a024273, DOI 10.1093/OXFORDJOURNALS.JPART.A024273]
   Mukhtar-Landgren D., 2016, K2 Working Paper Series 2016:16
   Olesen K, 2014, PLAN THEOR, V13, P288, DOI 10.1177/1473095213499340
   Pollitt C., 2011, Continuity and change in public policy and management
   Qvist M, 2012, THESIS
   Rhodes R.A. W., 1997, UNDERSTANDING GOVERN
   Sassen S, 2015, CITIES GLOBAL GOVERN, P24
   Sundstrom G., 2009, SAMHALLSSTYRNING FOR
   van der Heijden J, 2016, CITIES, V53, P1, DOI 10.1016/j.cities.2015.12.008
   van der Heijden J, 2015, ENVIRON POLICY GOV, V25, P303, DOI 10.1002/eet.1678
   van der Heijden J, 2015, PUBLIC ADMIN, V93, P576, DOI 10.1111/padm.12141
   Vangen S, 2015, PUBLIC MANAG REV, V17, P1237, DOI 10.1080/14719037.2014.903658
   Voytenko Y, 2016, J CLEAN PROD, V123, P45, DOI 10.1016/j.jclepro.2015.08.053
   Wanna J, 2008, COLLABORATIVE GOVERNANCE: A NEW ERA OF PUBLIC POLICY IN AUSTRALIA, P3
   Warbroek B, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010075
   Wejs A, 2014, ENVIRON PLANN C, V32, P1017, DOI 10.1068/c1215
   Whitehead M, 2007, POLICY POLIT, V35, P3, DOI 10.1332/030557307779657685
   Wittmayer JM, 2016, LOCAL ENVIRON, V21, P939, DOI 10.1080/13549839.2015.1050658
   Wittmayer J. M., 2016, ENV INNOVATION SOC T
NR 49
TC 113
Z9 117
U1 10
U2 67
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0965-4313
EI 1469-5944
J9 EUR PLAN STUD
JI Eur. Plan. Stud.
PY 2018
VL 26
IS 5
BP 988
EP 1007
DI 10.1080/09654313.2018.1435631
PG 20
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA GA3SG
UT WOS:000428249200007
OA Bronze
DA 2025-04-22
ER

PT J
AU Caprario, J
   Tasca, FA
   Santana, PL
   Azevedo, LTS
   Finotti, AR
AF Caprario, Jakcemara
   Tasca, Fabiane Andressa
   Santana, Paula Lidia
   Azevedo, Larissa Thaina Schmitt
   Finotti, Alexandra Rodrigues
TI Framework for incorporating climate projections in the integrated
   planning and management of urban infrastructure
SO URBAN CLIMATE
LA English
DT Article
DE Climate projections; Planning efforts; Resilient cities; Spatial
   management; Urban infrastructure
ID SCENARIO FRAMEWORK; CHANGE ADAPTATION; CHANGE IMPACT; DISCHARGE; AREAS;
   PORT
AB The impact of climate change on the management and planning of coastal urban areas has become a worldwide issue and has been the subject of several studies in recent decades. Climate change projection in the design phase of urban planning allows building capacity for urban adaptation and avoids future economic costs. Many coastal communities still keep reactive adaptation responses due to a lack of knowledge about how to incorporate this information in planning. In this sense, this paper presents a modelling framework to guide the incorporation of climate projections in the planning and management of coastal areas. The framework was applied in a coastal city of Brazil, where high environmental vulnerability and constantly coastal flooding are observed. The results indicate that there is no significant difference between the emission scenarios, in the short and medium-term, for precipitation projections and runoff peak flow. Extreme rainfall projections give differences up to 21% between the historical series and the projection for 2100. For the sea level projection, the extent of flooded areas induced by the worst emission scenario until the end of the century will reach 10% of the total municipally area (characterized by ecologically sensitive areas). In general, the framework provides preliminary information that can be used to improve spatial planning in a local context. Given the several simplified assumptions, the results should be used with caution, serving as a baseline for future planning efforts in the search for resilient cities.
C1 [Caprario, Jakcemara; Tasca, Fabiane Andressa; Santana, Paula Lidia; Azevedo, Larissa Thaina Schmitt; Finotti, Alexandra Rodrigues] Univ Fed Santa Catarina, Dept Sanit & Environm Engn, Urban Stormwater & Compensatory Tech Lab, LAUTEC, Delfino Conti St S-N Trindade, BR-88040900 Florianopolis, SC, Brazil.
C3 Universidade Federal de Santa Catarina (UFSC)
RP Caprario, J (corresponding author), Univ Fed Santa Catarina, Dept Sanit & Environm Engn, Urban Stormwater & Compensatory Tech Lab, LAUTEC, Delfino Conti St S-N Trindade, BR-88040900 Florianopolis, SC, Brazil.
EM jakcemara@hotmail.com
RI Finotti, Alexandra/AAM-4613-2020; Caprario, Jakcemara/ACN-7933-2022
OI Santana, Paula Lidia/0000-0002-8881-074X; Caprario,
   Jakcemara/0000-0002-1861-5930
FU CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior)
   [41001010033P5]
FX This work was supported by the CAPES (Coordenacao de Aperfeicoamento de
   Pessoal de Nivel Superior) [41001010033P5].
CR Addaney M., 2019, GEOGRAPHY CLIMATE CH, DOI [10.1007/978-3-030-04873-0, DOI 10.1007/978-3-030-04873-0]
   Akbarpour S, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-6953-3
   Alfredini P, 2018, TRANSNAV, V12, P739, DOI 10.12716/1001.12.04.13
   [Anonymous], 2007, REPORT INTERGOVERNME, P104
   Binesh N, 2019, HYDROLOG SCI J, V64, P381, DOI 10.1080/02626667.2019.1585857
   Birara H, 2020, SUST WAT RESOUR MAN, V6, DOI 10.1007/s40899-020-00436-1
   Chan NY, 1999, ENVIRON HEALTH PERSP, V107, P329, DOI 10.2307/3434535
   Chisanga C., 2017, Journal of Scientific Research and Reports, V15, P1, DOI [10.9734/JSRR/2017/34815, DOI 10.9734/JSRR/2017/34815]
   Di Giulio GM, 2019, REG ENVIRON CHANGE, V19, P2491, DOI 10.1007/s10113-019-01570-z
   DREMAP, 2019, ANAIS ELETRONICOS
   Durand P., 2018, Geoenvironmental Disasters, V5, P19, DOI [10.1186/s40677-018, DOI 10.1186/S40677-018-0109-1, 10.1186/s40677-018-]
   Ferro-Azcona H, 2019, OCEAN COAST MANAGE, V173, P36, DOI 10.1016/j.ocecoaman.2019.01.005
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Forino G, 2015, INT J DISAST RISK SC, V6, P372, DOI 10.1007/s13753-015-0076-z
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Grasso M, 2007, CLIMATIC CHANGE, V81, P223, DOI [10.1007/s10584-006-9158-7, 10.1007/s 10584-006-9158-7]
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Hayhoe K, 2015, TRANSPORT RES REC, P90, DOI 10.3141/2510-11
   Her Y, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41334-7
   IBAM-PMF, 2015, PLAN AC FLOR SUST
   IDOM-COBRAPE, 2015, IN CID EM SUST EST 2
   Jones RN, 2001, NAT HAZARDS, V23, P197, DOI 10.1023/A:1011148019213
   Kriegler E, 2014, CLIMATIC CHANGE, V122, P401, DOI 10.1007/s10584-013-0971-5
   Liu HX, 2018, NAT HAZARDS, V94, P1, DOI 10.1007/s11069-018-3349-1
   Marsooli R, 2020, CLIMATIC CHANGE, V163, P2153, DOI 10.1007/s10584-020-02932-x
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Ogie RI, 2020, J ENVIRON PLANN MAN, V63, P127, DOI 10.1080/09640568.2018.1547693
   Olsson T, 2017, J HYDROL-REG STUD, V13, P26, DOI 10.1016/j.ejrh.2017.05.011
   Osman Y., 2014, Engineering, V6, P948, DOI [DOI 10.4236/ENG.2014.613086, 10.4236/eng.2014.613086]
   Pasquier U, 2019, NAT HAZARDS, V98, P915, DOI 10.1007/s11069-018-3462-1
   PBMC-Painel Brasileiro de Mudan├a┬as clim├a┬iticas, 2016, IMP VULN AD CID COST
   PMF, 2021, REV MUN INT SAN PLAN
   Rodriguez IJL, 2016, GENERACION BASES DAT
   Schardong A., 2013, 20 SINP BRAS REC HID, P1
   Semenov MA, 2010, CLIM RES, V41, P1, DOI 10.3354/cr00836
   Shastri H, 2019, CLIM DYNAM, V52, P6033, DOI 10.1007/s00382-018-4493-8
   Smid M, 2018, INT J URBAN SCI, V22, P277, DOI 10.1080/12265934.2017.1409132
   Sun YB, 2019, GEOSCI LETT, V6, DOI 10.1186/s40562-019-0147-x
   Tariku TB, 2018, CLIM DYNAM, V51, P3487, DOI 10.1007/s00382-018-4092-8
   Tofiq FA, 2014, J HYDROL, V517, P1145, DOI 10.1016/j.jhydrol.2014.06.028
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P373, DOI 10.1007/s10584-013-0906-1
   Weschenfelder Adriana Burin, 2019, Rev. bras. meteorol., V34, P201, DOI 10.1590/0102-77863340026
NR 42
TC 5
Z9 5
U1 2
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JAN
PY 2022
VL 41
AR 101060
DI 10.1016/j.uclim.2021.101060
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 0N0SR
UT WOS:000782558800005
DA 2025-04-22
ER

PT J
AU Pathirana, A
   Radhakrishnan, M
   Quan, NH
   Zevenbergen, C
AF Pathirana, Assela
   Radhakrishnan, Mohanasundar
   Nguyen Hong Quan
   Zevenbergen, Chris
TI Managing urban water systems with significant adaptation
   deficits-unified framework for secondary cities: part I-conceptual
   framework
SO CLIMATIC CHANGE
LA English
DT Article
ID ECONOMIC-GROWTH; CLIMATE; DELTA; RISK
AB The lack of resilience of urban systems to weather and climate variability-termed type I adaptation-and also to climate change-type II adaptation-are both major challenges to the livability and sustainability of cities in the Global South. However, there is often competition and conflict in these cities between actions that address existing adaptation deficits (type I) and projected adaptation gaps (type II). Extending the concept of the environmental Kuznets curve, this paper argues that synergistic action on type I and type II adaptation is essential in order for these cities to maintain their livability and build resilience to climate variability and climate change in the face of growing urban populations. A proposed unifying framework has been demonstrated in Can Tho, Vietnam, where there are significant adaptation deficits due to rapid urbanization and adaptation gaps due to climate change and socioeconomic changes. The analysis in Can Tho reveals the lack of integration between type I and type II measures that could be overcome by closer integration between various stakeholders in terms of planning, prioritizing, and implementing adaptation measures.
C1 [Pathirana, Assela; Radhakrishnan, Mohanasundar; Zevenbergen, Chris] UNESCO IHE Inst Water Educ, Delft, Netherlands.
   [Radhakrishnan, Mohanasundar] Cooperat Res Ctr Water Sensit Cities, Clayton, Vic, Australia.
   [Nguyen Hong Quan] Viet Nam Natl Univ Ho Chi Minh City VNU HCM, IER, Ho Chi Minh City, Vietnam.
C3 IHE Delft Institute for Water Education; Cooperative Research Centre for
   Water Sensitive Cities (CRCWSC); Vietnam National University Ho Chi Minh
   City (VNUHCM) System
RP Pathirana, A (corresponding author), UNESCO IHE Inst Water Educ, Delft, Netherlands.
EM assela@pathirana.net
RI Pathirana, Assela/B-5189-2011
OI Radhakrishnan, Mohanasundar/0000-0003-3785-7713; Nguyen, Hong
   Quan/0000-0001-7685-8191; Pathirana, Assela/0000-0003-0907-1764
FU PRoACC programme by the Netherlands Ministry of Development Cooperation
   (DGIS); Cooperative Research Centre for Water Sensitive Cities (CRC), an
   initiative of the Australian government
FX Funding is acknowledged from (1) PRoACC programme by the Netherlands
   Ministry of Development Cooperation (DGIS) and (2) Cooperative Research
   Centre for Water Sensitive Cities (CRC), an initiative of the Australian
   government. Prof. Richard Ashley is acknowledged for his editorial
   contribution at the revision stage of this article.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], INT C EARTH OBS SOC
   [Anonymous], 2013, MEK DELT PLAN LONG T
   [Anonymous], 2012, PLANET OF CITIES
   [Anonymous], 2014, RISKY CHANGE VULNERA
   [Anonymous], 2014, 13 INT C URBAN DRAIN
   [Anonymous], INT C AD SCI MAN POL
   [Anonymous], SUST SERV DEL INCR U
   [Anonymous], 2008, National Action Plan on Climate Change
   [Anonymous], 13 INT C URB DRAIN S
   [Anonymous], SUST DEV CHALL
   [Anonymous], COSTS DEV COUNTR AD
   [Anonymous], 2011, 2011 KOMBOLCHA CIT
   [Anonymous], CAN THO VIETN COMPR
   [Anonymous], BEST BENEFITS SUDS T
   [Anonymous], 2014, The adaptation gap report 2014.
   BENNETT BG, 1985, ENVIRON SCI TECHNOL, V19, P298, DOI 10.1021/es00134a603
   Birkmann J, 2012, ENVIRON SCI ENG, P245, DOI 10.1007/978-94-007-3962-8_10
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   Hoanh CT, 2014, INT J WATER GOV, V2, P61, DOI 10.7564/14-IJWG59
   Deltacommissaris, 2014, DELT PRGRAMM 2015 WO
   Ekins P, 1997, ENVIRON PLANN A, V29, P805, DOI 10.1068/a290805
   Field C.B., 2012, SPECIAL REPORT IPCC
   GROSSMAN GM, 1993, MEXICO US FREE TRADE, P13, DOI [10.3386/w3914, DOI 10.3386/W3914]
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Kuznets S, 1955, AM ECON REV, V45, P1
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   PC-CanTho, 2014, CAN THO CLIM CHANG A
   Pielke RA, 1999, CLIMATIC CHANGE, V42, P413
   Pillai P., 2010, CLIMATE RISKS ADAPTA
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Radhakrishnan M, CLIM CHANG
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Roberts B.H., 2014, Managing Systems of Secondary Cities: Policy Responses in International Development
   Rothman DS, 2014, CLIMATIC CHANGE, V122, P495, DOI 10.1007/s10584-013-0907-0
   Samoli Evangelia., 2016, Associations of short-term exposure to traffic-related air pollution with cardiovascular and respiratory hospital admissions in London, P300, DOI DOI 10.1136/OEMED-2015-103136
   Serrao-Neumann S, 2015, ENVIRON SCI POLICY, V50, P46, DOI 10.1016/j.envsci.2015.01.017
   Tanner Thomas., 2009, IDS Work. Pap, DOI 10.1111/j.2040-0209.2009.003152.x
   Tessler ZD, 2015, SCIENCE, V349, P638, DOI 10.1126/science.aab3574
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   United Nations, 2007, GLOB REP HUM SETTL 2
   van Buuren A, 2014, REG ENVIRON CHANGE, V14, P1021, DOI 10.1007/s10113-013-0448-0
   VIAP-SUIP, 2013, MAST PLAN CAN THO CI
   WorldBank, 2010, DEV CLIM CHANG
   WorldBank, 2014, CAN THO VIETN ENH UR
   Young K, 2015, Infrastructure Complexity, V2, P1, DOI [DOI 10.1186/S40551-015-0005-8, 10.1186/s40551-015-0005-8]
   Zevenbergen C, 2015, INT J WATER GOV, V3, P121, DOI 10.7564/14-IJWG63
NR 49
TC 10
Z9 10
U1 0
U2 9
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUL
PY 2018
VL 149
IS 1
SI SI
BP 43
EP 56
DI 10.1007/s10584-017-1953-9
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GN9AK
UT WOS:000439470600004
DA 2025-04-22
ER

PT J
AU Ware, LJ
   Kim, AW
   Prioreschi, A
   Nyati, LH
   Taljaard, W
   Draper, CE
   Lye, SJ
   Norris, SA
AF Ware, Lisa J.
   Kim, Andrew W.
   Prioreschi, Alessandra
   Nyati, Lukhanyo H.
   Taljaard, Wihan
   Draper, Catherine E.
   Lye, Stephen J.
   Norris, Shane A.
TI Social vulnerability, parity and food insecurity in urban South African
   young women: the healthy life trajectories initiative (HeLTI) study
SO JOURNAL OF PUBLIC HEALTH POLICY
LA English
DT Article
DE Vulnerable populations; Parity; Urban health; Young adult; Disaster
   planning; Social Protection; Women
ID ADOLESCENT GIRLS; OVERWEIGHT; IMPLEMENTATION; PREVALENCE; RESILIENCE;
   VIOLENCE; PROJECT; OBESITY; SOWETO; RISK
AB Social vulnerability indices (SVI) can predict communities' vulnerability and resilience to public health threats such as drought, food insecurity or infectious diseases. Parity has yet to be investigated as an indicator of social vulnerability in young women. We adapted an SVI score, previously used by the US Centre for Disease Control (CDC), and calculated SVI for young urban South African women (n = 1584; median age 21.6, IQR 3.6 years). Social vulnerability was more frequently observed in women with children and increased as parity increased. Furthermore, young women classified as socially vulnerable were 2.84 times (95% CI 2.10-3.70; p < 0.001) more likely to report household food insecurity. We collected this information in 2018-2019, prior to the current global COVID-19 pandemic. With South Africa having declared a National State of Disaster in March 2020, early indicators suggest that this group of women have indeed been disproportionally affected, supporting the utility of such measures to inform disaster relief efforts.
C1 [Ware, Lisa J.; Kim, Andrew W.; Prioreschi, Alessandra; Nyati, Lukhanyo H.; Taljaard, Wihan; Draper, Catherine E.; Norris, Shane A.] Univ Witwatersrand, SAMRC Wits Dev Pathways Hlth Res Unit, Fac Hlth Sci, Chris Hani Baragwanath Acad Hosp, Corner Coll & Clin Rd, Johannesburg, Gauteng, South Africa.
   [Ware, Lisa J.] Univ Witwatersrand, DSI NRF Ctr Excellence Human Dev, Johannesburg, Gauteng, South Africa.
   [Kim, Andrew W.] Northwestern Univ, Dept Anthropol, Evanston, IL 60208 USA.
   [Lye, Stephen J.] Univ Toronto, Dept Physiol, Toronto, ON, Canada.
   [Lye, Stephen J.] Univ Toronto, Dept Obstet & Gynaecol, Toronto, ON, Canada.
   [Lye, Stephen J.] Univ Toronto, Dept Med, Toronto, ON, Canada.
   [Lye, Stephen J.] Sinai Hlth, Lunenfeld Tanenbaum Res Inst, Toronto, ON, Canada.
   [Norris, Shane A.] Univ Southampton, Sch Human Dev & Hlth, Southampton, Hants, England.
   [Norris, Shane A.] Univ Southampton, NIHR Southampton Biomed Res Ctr, Global Hlth Res Inst, Southampton, Hants, England.
C3 University of Witwatersrand; University of Witwatersrand; Northwestern
   University; University of Toronto; University of Toronto; University of
   Toronto; University of Toronto; Sinai Health System Toronto; Lunenfeld
   Tanenbaum Research Institute; University of Southampton; University of
   Southampton
RP Ware, LJ (corresponding author), Univ Witwatersrand, SAMRC Wits Dev Pathways Hlth Res Unit, Fac Hlth Sci, Chris Hani Baragwanath Acad Hosp, Corner Coll & Clin Rd, Johannesburg, Gauteng, South Africa.; Ware, LJ (corresponding author), Univ Witwatersrand, DSI NRF Ctr Excellence Human Dev, Johannesburg, Gauteng, South Africa.
EM lisa.ware@wits.ac.za
RI Prioreschi, Alessandra/LIG-2658-2024; Nyati, Lukhanyo/AAV-6756-2021;
   Kim, Andrew/JCD-9167-2023; Draper, Catherine/GZN-1315-2022; Norris,
   Shane/C-4664-2014; Ware, Lisa J/J-7182-2016
OI Norris, Shane/0000-0001-7124-3788; Ware, Lisa J/0000-0002-9762-4017;
   Prioreschi, Alessandra/0000-0002-6913-0706
FU South African Medical Research Council; Canadian Institutes of Health
   Research; South African DSI/NRF Centre of Excellence in Human
   Development; National Science Foundation Graduate Research Fellowship;
   Fogarty International Center; National Institute of Mental Health, of
   the National Institutes of Health [D43 TW010543]
FX The South African Medical Research Council and the Canadian Institutes
   of Health Research supported this study. The authors acknowledge the
   young women who participated in the study. LJW is supported by the South
   African DSI/NRF Centre of Excellence in Human Development. AWK is
   supported by the National Science Foundation Graduate Research
   Fellowship and the Fogarty International Center and National Institute
   of Mental Health, of the National Institutes of Health under Award
   Number D43 TW010543. The content is solely the responsibility of the
   authors and does not necessarily represent the official views of the
   National Institutes of Health, DSI or NRF.
CR Abdu J, 2018, J ENVIRON PUBLIC HEA, V2018, DOI 10.1155/2018/7659204
   Abdullah F, 2019, SAMJ S AFR MED J, V109, P57, DOI 10.7196/SAMJ.2019.v109i11b.14254
   Abrahams Z, 2018, SOC PSYCH PSYCH EPID, V53, P363, DOI 10.1007/s00127-018-1497-y
   Aitsi-Selmi A, 2015, INT J DISAST RISK SC, V6, P164, DOI 10.1007/s13753-015-0050-9
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2011, STAT PLACECITY JOHAN
   [Anonymous], SUPPL BUDG REV 2020
   [Anonymous], 2020, COVID 19 RESPONSE PO
   Barbarin OA, 1997, CHILDHOOD, V4, P193, DOI 10.1177/0907568297004002005
   Battersby J, 2011, DEV SO AFR, V28, P545, DOI 10.1080/0376835X.2011.605572
   Bhorat H, 2021, S AFR J ECON, V89, P63, DOI 10.1111/saje.12277
   Boatemaa S, 2018, AFR J AGRIC RESOUR E, V13, P264
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Casale D., 2020, National Income Dynamics (NIDS) Coronavirus Rapid Mobile Survey (CRAM) Working Paper Series
   Closson K, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-3832-0
   Comfort L., 1999, Environmental Hazards, V1, P39, DOI [10.1016/S1464-2867(99)00005-4, DOI 10.3763/EHAZ.1999.0105]
   Cutter SL, 2003, ANN ASSOC AM GEOGR, V93, P1, DOI 10.1111/1467-8306.93101
   Davids EL, 2020, SAMJ S AFR MED J, V110, P855, DOI 10.7196/SAMJ.2020.v110i9.14785
   de Onis Mercedes, 2004, Food Nutr Bull, V25, pS27
   Draper CE, 2020, SAGE OPEN MED, V8, DOI 10.1177/2050312120940542
   Draper CE, 2019, PREV MED REP, V14, DOI 10.1016/j.pmedr.2019.100846
   Dunkle KL, 2004, AM J EPIDEMIOL, V160, P230, DOI 10.1093/aje/kwh194
   Fekete A, 2019, INT J DISAST RISK SC, V10, P220, DOI 10.1007/s13753-019-0213-1
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Fonck K, 2005, AIDS BEHAV, V9, P335, DOI 10.1007/s10461-005-9007-0
   Grobler L, 2019, OBES REV, V20, P18, DOI 10.1111/obr.12767
   Haffejee F, 2018, S AFR FAM PRACT, V60, P79, DOI 10.1080/20786190.2017.1396790
   Harris PA, 2009, J BIOMED INFORM, V42, P377, DOI 10.1016/j.jbi.2008.08.010
   Hartigan J. A., 1979, Applied Statistics, V28, P100, DOI 10.2307/2346830
   Institute for Economic Justice, 2021, COVID 19 S AFR COVID
   Isanaka S, 2007, J NUTR, V137, P2747, DOI 10.1093/jn/137.12.2747
   Kabudula CW, 2017, SOC INDIC RES, V133, P1047, DOI 10.1007/s11205-016-1397-z
   Kalsbeek WD, 2010, P SECT SURV METH JOI, P3082
   Kienberger S, 2014, INT J HEALTH GEOGR, V13, DOI 10.1186/1476-072X-13-29
   Kim AW, 2019, TRANSCULT PSYCHIATRY, V56, P720, DOI 10.1177/1363461519858798
   Kohrt BA, 2014, INT J EPIDEMIOL, V43, P365, DOI 10.1093/ije/dyt227
   Kroenke K, 2010, GEN HOSP PSYCHIAT, V32, P345, DOI 10.1016/j.genhosppsych.2010.03.006
   Lenz M, 2009, DTSCH ARZTEBL INT, V106, P641, DOI 10.3238/arztebl.2009.0641
   Mabala R, 2006, ENVIRON URBAN, V18, P407, DOI 10.1177/0956247806069624
   Madeod C, 1999, S AFR J PSYCHOL, V29, P1
   Mathai MA., 2006, SEXUAL DECISION MAKI
   Mathee A, 2011, J PUBLIC HEALTH POL, V32, pS37, DOI 10.1057/jphp.2011.21
   Murphy A, 2014, CHILD ABUSE NEGLECT, V38, P224, DOI 10.1016/j.chiabu.2013.09.004
   Prioreschi A, 2021, J DEV ORIG HLTH DIS, V12, P79, DOI 10.1017/S2040174420000045
   Ranchhod V., 2020, Labour Market Dynamics in South Africa in the Time of COVID-19: Evidence from Wave 1 of the NIDS-CRAM Survey, P1
   Rasty R., 2015, IRAN J EPIDEMIOL, V11, P34
   SAUNDERS JB, 1993, ADDICTION, V88, P791, DOI 10.1111/j.1360-0443.1993.tb02093.x
   Schulz LC, 2010, P NATL ACAD SCI USA, V107, P16757, DOI 10.1073/pnas.1012911107
   Singh S.R., 2014, International Journal of Interdisciplinary and Multidisciplinary Studies, V1, P71
   Spaull N, NATL INCOME DYNAMICS
   Tsai AC, 2016, PLOS MED, V13, DOI 10.1371/journal.pmed.1001943
   Vincent K., 2004, Tyndall Center for Climate Change Research. Working Paper, V56, P41
   Ware LJ, 2019, J NUTR EDUC BEHAV, V51, P946, DOI 10.1016/j.jneb.2019.04.009
   Weaver LJ, 2009, ECOL FOOD NUTR, V48, P263, DOI 10.1080/03670240903001167
   WEHLER CA, 1992, J NUTR EDUC, V24, pS29
   WHO, 2011, WORLD REPORT ON DISABILITY, P1
   Williams B, 2018, EUR HEART J, V39, P3021, DOI 10.1093/eurheartj/ehy339
   Young SL, 2014, MATERN CHILD HLTH J, V18, P2044, DOI 10.1007/s10995-014-1450-y
   Ziraba AK, 2009, BMC PUBLIC HEALTH, V9, DOI 10.1186/1471-2458-9-465
NR 59
TC 23
Z9 23
U1 1
U2 29
PU PALGRAVE MACMILLAN LTD
PI BASINGSTOKE
PA BRUNEL RD BLDG, HOUNDMILLS, BASINGSTOKE RG21 6XS, HANTS, ENGLAND
SN 0197-5897
EI 1745-655X
J9 J PUBLIC HEALTH POL
JI J. Public Health Policy
PD SEP
PY 2021
VL 42
IS 3
BP 373
EP 389
DI 10.1057/s41271-021-00289-8
EA MAY 2021
PG 17
WC Health Care Sciences & Services; Health Policy & Services; Public,
   Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Health Care Sciences & Services; Public, Environmental & Occupational
   Health
GA UT9JW
UT WOS:000652094300004
PM 34012015
OA Green Published, Bronze
DA 2025-04-22
ER

PT J
AU Hubbart, JA
   Kellner, E
   Hooper, L
   Lupo, AR
   Market, PS
   Guinan, PE
   Stephan, K
   Fox, NI
   Svoma, BM
AF Hubbart, Jason A.
   Kellner, Elliott
   Hooper, Lynne
   Lupo, Anthony R.
   Market, Patrick S.
   Guinan, Patrick E.
   Stephan, Kirsten
   Fox, Neil I.
   Svoma, Bohumil M.
TI Localized Climate and Surface Energy Flux Alterations across an Urban
   Gradient in the Central US
SO ENERGIES
LA English
DT Article
DE urban heat island; microclimate; surface energy balance; land use;
   resilience
ID HEAT-ISLAND INTENSITY; LAND-USE; TEMPERATURE; URBANIZATION;
   PRECIPITATION; POLLUTION; AEROSOLS; FORM
AB Long-term urban and rural climate data spanning January 1995 through October 2013 were analyzed to investigate the Urban Heat Island (UHI) effect in a representative mid-sized city of the central US. Locally distributed climate data were also collected at nested low density urban, recently developed, and high density urban monitoring sites from June through September 2013 to improve mechanistic understanding of spatial variability of the UHI effect based upon urban land use intensity. Long-term analyses (1995-2013) indicate significant differences (p < 0.001) between average air temperature (13.47 and 12.89 degrees C, at the urban and rural site respectively), relative humidity (69.11% and 72.51%, urban and rural respectively), and average wind speed (2.05 and 3.15 m/s urban and rural respectively). Significant differences (p < 0.001) between urban monitoring sites indicate an urban microclimate gradient for all climate variables except precipitation. Results of analysis of net radiation and soil heat flux data suggest distinct localized alterations in urban energy budgets due to land use intensity. Study results hold important implications for urban planners and land managers seeking to improve and implement better urban management practices. Results also reinforce the need for distributed urban energy balance investigations.
C1 [Hubbart, Jason A.] Univ Missouri, Sch Nat Resources, Water Resources Program, Dept Forestry, Columbia, MO 65211 USA.
   [Hubbart, Jason A.] Univ Missouri, Sch Nat Resources, Water Resources Program, Dept Soils Environm & Atmospher Sci, Columbia, MO 65211 USA.
   [Hubbart, Jason A.] Ctr Watershed Management & Water Qual, Columbia, MO 65211 USA.
   [Kellner, Elliott; Hooper, Lynne] Univ Missouri, Water Resources Program, Sch Nat Resources, Columbia, MO 65211 USA.
   [Lupo, Anthony R.; Market, Patrick S.; Guinan, Patrick E.; Fox, Neil I.; Svoma, Bohumil M.] Univ Missouri, Sch Nat Resources, Dept Soil Environm & Atmospher Sci, Columbia, MO 65211 USA.
   [Stephan, Kirsten] Lincoln Univ, Dept Life & Phys Sci, Jefferson City, MO 65101 USA.
C3 University of Missouri System; University of Missouri Columbia;
   University of Missouri System; University of Missouri Columbia;
   University of Missouri System; University of Missouri Columbia;
   University of Missouri System; University of Missouri Columbia; Lincoln
   University - Missouri
RP Hubbart, JA (corresponding author), Univ Missouri, Sch Nat Resources, Water Resources Program, Dept Forestry, 203-Q ABNR Bldg, Columbia, MO 65211 USA.
EM hubbartj@Missouri.edu; rekfh3@mail.missouri.edu;
   lwh356@mail.missouri.edu; lupoa@missouri.edu; marketp@missouri.edu;
   guinanp@missouri.edu; stephank@lincolnu.edu; foxn@missouri.edu;
   svomab@missouri.edu
RI Market, Patrick/AGO-5184-2022
OI Lupo, Anthony/0000-0002-5810-5652; Fox, Neil/0000-0002-6994-155X;
   Kellner, Elliott/0000-0001-6428-0097
FU USDA NIFA McIntire-Stennis Forestry Research Program [MOX-STEPHAN2]
FX Funding was provided by USDA NIFA McIntire-Stennis Forestry Research
   Program (Project No. MOX-STEPHAN2). Study results may not reflect the
   views of the funding agency and no official endorsement should be
   inferred. Gratitude is extended to multiple reviewers whose comments
   improved the quality of the manuscript.
CR [Anonymous], 2000, METEOROLOGY SCI ENG
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Bornstein R, 2000, ATMOS ENVIRON, V34, P507, DOI 10.1016/S1352-2310(99)00374-X
   Brady N.C., 2000, The Nature and Properties of Soils
   Buckley PI, 2008, ATMOS SCI LETT, V9, P226, DOI 10.1002/asl.194
   Campbell Scientific Incorporated, MOD HFP01SC SELF CAL
   Campbell Scientific Incorporated, NR01 4 COMP NET RAD
   Chapman SS., 2002, ECOREGIONS IOWA MISS
   Ferguson G, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL032324
   Grimm NB, 2008, FRONT ECOL ENVIRON, V6, P264, DOI 10.1890/070147
   Hamdi R, 2008, INT J CLIMATOL, V28, P973, DOI 10.1002/joc.1598
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   HOWARD L., 1833, The Climate of London: Deduced from Meteorological Observations Made in the Metropolis and at Various Places Around it
   Imhoff ML, 2010, REMOTE SENS ENVIRON, V114, P504, DOI 10.1016/j.rse.2009.10.008
   Jin MS, 2012, J CLIMATE, V25, P6193, DOI 10.1175/JCLI-D-11-00509.1
   Khain AP, 2008, J ATMOS SCI, V65, P1721, DOI 10.1175/2007JAS2515.1
   Landsberg H.E., 1981, The Urban Climate
   Lupo A. R., 2003, ELECT J OPER METEORO, V4, P1
   Menberg K, 2013, ENVIRON SCI TECHNOL, V47, P9747, DOI 10.1021/es401546u
   Mirzaei PA, 2010, BUILD ENVIRON, V45, P2192, DOI 10.1016/j.buildenv.2010.04.001
   Montávez JP, 2000, INT J CLIMATOL, V20, P899, DOI 10.1002/1097-0088(20000630)20:8<899::AID-JOC433>3.0.CO;2-I
   MSDIS (Missouri Spatial Data Information Service), 2005, MSDIS DAT THEM LIST
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Papanastasiou DK, 2012, THEOR APPL CLIMATOL, V107, P407, DOI 10.1007/s00704-011-0491-z
   Rosenfeld D, 2006, J APPL METEOROL CLIM, V45, P893, DOI 10.1175/JAM2380.1
   Ryu YH, 2012, J APPL METEOROL CLIM, V51, P842, DOI 10.1175/JAMC-D-11-098.1
   Shephard JM, 2005, EARTH INTERACT, V9
   SMITH RA, 1971, PSYCHOMETRIKA, V36, P31, DOI 10.1007/BF02291420
   Stone B, 2010, ENVIRON HEALTH PERSP, V118, P1425, DOI 10.1289/ehp.0901879
   Tang CS, 2011, ENERG BUILDINGS, V43, P3090, DOI 10.1016/j.enbuild.2011.08.003
   Taniguchi M, 2007, VADOSE ZONE J, V6, P591, DOI 10.2136/vzj2006.0094
   Taylor CA, 2009, J HYDROL, V375, P601, DOI 10.1016/j.jhydrol.2009.07.009
   Torok SJ, 2001, AUST METEOROL MAG, V50, P1
   Uchida Y, 2003, PHYS CHEM EARTH, V28, P457, DOI 10.1016/S1474-7065(03)00065-2
   Unger J, 2001, METEOROL APPL, V8, P189, DOI 10.1017/S1350482701002067
   United States Census Bureau (USCB), 2011, US CENS BUR DEL MISS
   Zell C, 2013, ECOL MODEL, V248, P1, DOI 10.1016/j.ecolmodel.2012.09.021
NR 38
TC 34
Z9 43
U1 1
U2 31
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD MAR
PY 2014
VL 7
IS 3
BP 1770
EP 1791
DI 10.3390/en7031770
PG 22
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA AH6BS
UT WOS:000336216300035
OA gold
DA 2025-04-22
ER

PT J
AU Kumari, N
   Sharma, A
   Tran, B
   Chilamkurti, N
   Alahakoon, D
AF Kumari, Namita
   Sharma, Ankush
   Tran, Binh
   Chilamkurti, Naveen
   Alahakoon, Damminda
TI A Comprehensive Review of Digital Twin Technology for Grid-Connected
   Microgrid Systems: State of the Art, Potential and Challenges Faced
SO ENERGIES
LA English
DT Review
DE digital twin; microgrid; point of common coupling; smart city
ID WIND
AB The concept of the digital twin has been adopted as an important aspect in digital transformation of power systems. Although the notion of the digital twin is not new, its adoption into the energy sector has been recent and has targeted increased operational efficiency. This paper is focused on addressing an important gap in the research literature reviewing the state of the art in utilization of digital twin technology in microgrids, an important component of power systems. A microgrid is a local power network that acts as a dependable island within bigger regional and national electricity networks, providing power without interruption even when the main grid is down. Microgrids are essential components of smart cities that are both resilient and sustainable, providing smart cities the opportunity to develop sustainable energy delivery systems. Due to the complexity of design, development and maintenance of a microgrid, an efficient simulation model with ability to handle the complexity and spatio-temporal nature is important. The digital twin technologies have the potential to address the above-mentioned requirements, providing an exact virtual model of the physical entity of the power system. The paper reviews the application of digital twins in a microgrid at electrical points where the microgrid connects or disconnects from the main distribution grid, that is, points of common coupling. Furthermore, potential applications of the digital twin in microgrids for better control, security and resilient operation and challenges faced are also discussed.
C1 [Kumari, Namita; Sharma, Ankush] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, India.
   [Tran, Binh; Alahakoon, Damminda] La Trobe Univ, Ctr Data Analyt & Cognit, Melbourne, Vic 3086, Australia.
   [Chilamkurti, Naveen] La Trobe Univ, Sch Comp Engn & Math Sci, Melbourne, Vic 3086, Australia.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kanpur; La Trobe University; La Trobe University
RP Chilamkurti, N (corresponding author), La Trobe Univ, Sch Comp Engn & Math Sci, Melbourne, Vic 3086, Australia.
EM nkumari21@iitk.ac.in; ansharma@iitk.ac.in; b.tran@latrobe.edu.au;
   n.chilamkurti@latrobe.edu.au; d.alahakoon@latrobe.edu.au
RI Tran, Binh/AAL-4815-2021; Chilamkurti, Naveen/S-9636-2019; des,
   d/GVU-7765-2022
OI Chilamkurti, Naveen/0000-0002-5396-8897; Tran, Binh
   N./0000-0002-2445-1231
FU Asian Smart Cities Research Innovation Network [150-IIT K - LTU 2021]
FX This research was funded by Asian Smart Cities Research Innovation
   Network grant number 150-IIT K - LTU 2021.
CR Aghazadeh Ardebili A., 2021, E3S WEB C, V312, P09002, DOI [10.1051/e3sconf/202131209002, DOI 10.1051/E3SCONF/202131209002]
   Ahmadi A, 2020, IEEE ACCESS, V8, P151511, DOI 10.1109/ACCESS.2020.3017442
   Alkhayat G, 2021, ENERGY AI, V4, DOI 10.1016/j.egyai.2021.100060
   Andryushkevich SK, 2019, IEEE INTL CONF IND I, P1536, DOI [10.1109/INDIN41052.2019.8972267, 10.1109/indin41052.2019.8972267]
   Atalay M, 2020, 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (METROIND4.0&IOT), P435, DOI [10.1109/MetroInd4.0IoT48571.2020.9138264, 10.1109/metroind4.0iot48571.2020.9138264]
   Baboli PT, 2020, SMART GRID CONF SGC, DOI 10.1109/SGC52076.2020.9335750
   Barricelli BR, 2019, IEEE ACCESS, V7, P167653, DOI 10.1109/ACCESS.2019.2953499
   Bazmohammadi N, 2022, IEEE ACCESS, V10, P2284, DOI 10.1109/ACCESS.2021.3138990
   Bhatti G, 2021, RENEW SUST ENERG REV, V141, DOI 10.1016/j.rser.2021.110801
   Borth M, 2019, 2019 14TH ANNUAL CONFERENCE SYSTEM OF SYSTEMS ENGINEERING (SOSE), P164, DOI [10.1109/sysose.2019.8753860, 10.1109/SYSOSE.2019.8753860]
   Bullich-Massagué E, 2018, APPL ENERG, V212, P340, DOI 10.1016/j.apenergy.2017.12.048
   Chandak S, 2021, INT J ENERG RES, V45, P3523, DOI 10.1002/er.6064
   Chandra A, 2021, ELECTR POW SYST RES, V193, DOI 10.1016/j.epsr.2021.107036
   Chen HT, 2019, IEEE T SYST MAN CY-S, V49, P1731, DOI 10.1109/TSMC.2019.2896922
   Chiu MC, 2022, SUSTAIN ENERGY TECHN, V52, DOI 10.1016/j.seta.2022.102223
   Cinar S, 2021, PROCESSES, V9, DOI 10.3390/pr9010085
   Ciuriuc A, 2022, ENERGY REP, V8, P1207, DOI 10.1016/j.egyr.2021.12.034
   Coraddu A, 2019, OCEAN ENG, V186, DOI 10.1016/j.oceaneng.2019.05.045
   Daneshi H, 2012, IEEE POW ENER SOC GE
   Danilczyk W, 2021, NORTH AMER POW SYMP, DOI 10.1109/NAPS50074.2021.9449682
   Danilczyk W, 2019, NORTH AMER POW SYMP, DOI 10.1109/naps46351.2019.9000371
   Debouza M, 2022, ELECTR POW SYST RES, V205, DOI 10.1016/j.epsr.2021.107765
   DOE, 2012, 2012 DOE MICR WORKSH
   Dragicevic Tomislav, 2014, IEEE Electrification Magazine, V2, P54, DOI 10.1109/MELE.2013.2297033
   Eckhart M, 2019, IEEE INT C EMERG, P1222, DOI [10.1109/ETFA.2019.8869197, 10.1109/etfa.2019.8869197]
   Elmaz F, 2020, ENERGY, V191, DOI 10.1016/j.energy.2019.116541
   Eom H, 2020, IEEE ACCESS, V8, P54620, DOI 10.1109/ACCESS.2020.2981819
   Gang Yu, 2021, 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), P290, DOI 10.1109/DTPI52967.2021.9540103
   Gao F, 2021, ENERGY REP, V7, P760, DOI 10.1016/j.egyr.2021.09.196
   Gokhale P., 2018, International Advanced Research Journal in Science, Engineering and Technology, V5, P41, DOI [DOI 10.17148/IARJSET.2018.517, DOI 10.17148/IARJSET.2018.5511]
   Granacher J, 2022, APPL ENERG, V306, DOI 10.1016/j.apenergy.2021.117954
   Habib AKMA, 2021, IET POWER ELECTRON, V14, P1, DOI 10.1049/pel2.12013
   Hatziargyriou ND, 2002, 2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, P1017, DOI 10.1109/PESW.2002.985163
   He JW, 2014, IEEE T IND ELECTRON, V61, P2784, DOI 10.1109/TIE.2013.2276774
   Heng Li, 2021, 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)., P1100, DOI 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00171
   Hirsch A, 2018, RENEW SUST ENERG REV, V90, P402, DOI 10.1016/j.rser.2018.03.040
   Huaming Pan, 2020, 2020 5th International Conference on Power and Renewable Energy (ICPRE), P21, DOI 10.1109/ICPRE51194.2020.9233278
   Huang JP, 2021, IOP C SER EARTH ENV, V647, DOI 10.1088/1755-1315/647/1/012015
   Jain P, 2020, IEEE T POWER ELECTR, V35, P940, DOI 10.1109/TPEL.2019.2911594
   Jamil M., 2009, Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International, P1
   Kandasamy NK, 2022, COMPUT ELECTR ENG, V101, DOI 10.1016/j.compeleceng.2022.108061
   Khavari F, 2020, INT J ELEC POWER, V115, DOI 10.1016/j.ijepes.2019.105465
   Khemmook P, 2022, ELECTR POW SYST RES, V213, DOI 10.1016/j.epsr.2022.108681
   Khodaei A, 2014, IEEE T SMART GRID, V5, P1584, DOI 10.1109/TSG.2014.2311465
   Li WH, 2020, J ENERGY STORAGE, V30, DOI 10.1016/j.est.2020.101557
   Li Y, 2022, IEEE T INSTRUM MEAS, V71, DOI 10.1109/TIM.2021.3139698
   Liu W, 2022, ENERGY REP, V8, P4058, DOI 10.1016/j.egyr.2022.03.016
   Liu Y, 2011, J MECH DESIGN, V133, DOI 10.1115/1.4004223
   Lopes JAP, 2020, WIRES ENERGY ENVIRON, V9, DOI 10.1002/wene.368
   Madni AM, 2019, SYSTEMS-BASEL, V7, DOI 10.3390/systems7010007
   Magargle R., 2017, P 12 INT MOD C PRAG, DOI 10.3384/ecp1713235
   Merkle L, 2019, 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019), P155, DOI [10.1109/ICPHYS.2019.8780347, 10.1109/icphys.2019.8780347]
   Milton M, 2020, IEEE T POWER ELECTR, V35, P9850, DOI 10.1109/TPEL.2020.2971775
   Minerva R, 2020, P IEEE, V108, P1785, DOI 10.1109/JPROC.2020.2998530
   Moghadam FK, 2022, MECH SYST SIGNAL PR, V162, DOI 10.1016/j.ymssp.2021.108087
   Motlagh NH, 2020, ENERGIES, V13, DOI 10.3390/en13020494
   Mourtzis Dimitris, 2022, Procedia CIRP, P1138, DOI 10.1016/j.procir.2022.05.121
   Nord JH, 2019, EXPERT SYST APPL, V133, P97, DOI 10.1016/j.eswa.2019.05.014
   O'Dwyer E, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102412
   Onile AE, 2021, ENERGY REP, V7, P997, DOI 10.1016/j.egyr.2021.01.090
   Orive D, 2019, IEEE INT C EMERG, P1230, DOI [10.1109/ETFA.2019.8869334, 10.1109/etfa.2019.8869334]
   Palensky P, 2021, Digital Twin, V1, P4
   Pargmann H, 2018, 2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA), P233, DOI 10.1109/ICCCBDA.2018.8386518
   Parisi GI, 2019, NEURAL NETWORKS, V113, P54, DOI 10.1016/j.neunet.2019.01.012
   Park HA, 2020, ENERGIES, V13, DOI 10.3390/en13205504
   Peng YZ, 2021, IEEE T POWER ELECTR, V36, P2105, DOI 10.1109/TPEL.2020.3009600
   Peng YZ, 2019, IEEE ENER CONV, P2199
   Peng Y, 2019, IEEE IMTC P, P221, DOI 10.1109/i2mtc.2019.8827160
   Pimenta F, 2020, J PHYS CONF SER, V1618, DOI 10.1088/1742-6596/1618/2/022065
   Planas E, 2015, RENEW SUST ENERG REV, V43, P726, DOI 10.1016/j.rser.2014.11.067
   Qian C, 2022, FUTURE INTERNET, V14, DOI 10.3390/fi14020064
   Rana M, 2020, IEEE IJCNN, DOI 10.1109/ijcnn48605.2020.9207594
   Rasheed A, 2020, IEEE ACCESS, V8, P21980, DOI 10.1109/ACCESS.2020.2970143
   Reports S.I, 2018, GLOBAL MARKET OUTLOO
   Rouzbehi K, 2019, ELECTRONICS-SWITZ, V8, DOI 10.3390/electronics8050493
   Saeed MH, 2021, IEEE ACCESS, V9, P166502, DOI 10.1109/ACCESS.2021.3135083
   Santhosh M, 2020, ENG REP, V2, DOI 10.1002/eng2.12178
   Sbordone D, 2015, ELECTR POW SYST RES, V120, P96, DOI 10.1016/j.epsr.2014.07.033
   Shahsavar MM, 2021, ENERG CONVERS MANAGE, V248, DOI 10.1016/j.enconman.2021.114794
   Shi J, 2012, IEEE T IND APPL, V48, P1064, DOI 10.1109/TIA.2012.2190816
   Sivalingam K, 2018, PROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND APPLICATIONS (ICGEA), P197, DOI 10.1109/ICGEA.2018.8356292
   Sleiti AK, 2022, ENERGY REP, V8, P3704, DOI 10.1016/j.egyr.2022.02.305
   Smiley Karen, 2019, ABB Review
   Soderang E., 2021, SSRN ELECT J, V266, P115793, DOI [10.2139/ssrn.3941681, DOI 10.2139/SSRN.3941681]
   Spinti JP, 2022, APPL ENERG, V310, DOI 10.1016/j.apenergy.2021.118436
   Stark R, 2019, CIRP ANN-MANUF TECHN, V68, P129, DOI 10.1016/j.cirp.2019.04.024
   Tan RM, 2022, IEEE ACCESS, V10, P51747, DOI 10.1109/ACCESS.2022.3174089
   Tao F, 2019, IEEE T IND INFORM, V15, P2405, DOI 10.1109/TII.2018.2873186
   Teng SY, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110208
   Wang JJ, 2019, INT J PROD RES, V57, P3920, DOI 10.1080/00207543.2018.1552032
   Wang Y, 2021, ACS SUSTAIN CHEM ENG, V9, P12990, DOI 10.1021/acssuschemeng.1c04612
   Wu B, 2020, ENERGY AI, V1, DOI 10.1016/j.egyai.2020.100016
   Wunderlich A, 2021, APPL POWER ELECT CO, P2369, DOI 10.1109/APEC42165.2021.9487201
   Xiong JW, 2022, ELECTR POW SYST RES, V210, DOI 10.1016/j.epsr.2022.108111
   Yoldas Y, 2017, RENEW SUST ENERG REV, V72, P205, DOI 10.1016/j.rser.2017.01.064
   You ML, 2022, APPL ENERG, V305, DOI 10.1016/j.apenergy.2021.117899
   Yu W, 2022, RENEW SUST ENERG REV, V161, DOI 10.1016/j.rser.2022.112407
   Zhong Yiguo, 2021, 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)., P1833, DOI 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00271
   Zhou MK, 2019, CSEE J POWER ENERGY, V5, P391, DOI 10.17775/CSEEJPES.2018.01460
NR 99
TC 17
Z9 17
U1 5
U2 46
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD JUL
PY 2023
VL 16
IS 14
AR 5525
DI 10.3390/en16145525
PG 19
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA N3FA2
UT WOS:001035900000001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Hilde, TW
AF Hilde, Thomas W.
TI Incorporating Flood Loss Estimation into Urban Planning and Development
   Scenarios
SO NATURAL HAZARDS REVIEW
LA English
DT Article
DE City planning; Flash flooding; Geographic information systems (GIS);
   Hazard mitigation; Riverine flooding; Scenario planning; Urban planning
ID PLANS
AB Although disaster-related economic losses continue to accelerate in the US, local hazard mitigation in many cases remains fragmented from mainstream forms of city planning. This paper demonstrates a methodological innovation for incorporating disaster resilience into community planning using an exploratory scenario planning framework. Specifically, it presents a method for pairing FEMA Hazus flood loss estimation software with Envision Tomorrow (ET), an open-source GIS-based scenario planning tool. Procedures for linking the tools include GIS geoprocessing to convert urban development scenarios into user-supplied individual building data suitable for analysis using the Hazus Flood model. To beta test its utility in practice, the integrated method was applied to a master-planned suburban development in Austin, Texas. Results illustrated how alternative development scenarios produced varying outcomes related to flood loss avoidance, reflecting the opportunity for comprehensive planning to enhance community resilience in addition to sustainability and quality of life. The paper highlights how the integrated use of tools can enable scenario planning processes that better address risk and uncertainty alongside other community development priorities.
C1 [Hilde, Thomas W.] CLEVELAND STATE UNIV, Maxine Goodman Levin Sch Urban Affairs, CLEVELAND, OH 44115 USA.
C3 University System of Ohio; Cleveland State University
RP Hilde, TW (corresponding author), CLEVELAND STATE UNIV, Maxine Goodman Levin Sch Urban Affairs, CLEVELAND, OH 44115 USA.
EM t.hilde@csuohio.edu
RI Hilde, Thomas/ABE-1110-2020
CR [Anonymous], 2006, FACING HAZARDS DISAS
   [Anonymous], 2011, Local Mitigation Plan Review Guide
   Avin U. P., 2001, Planning Magazine
   Avin U, 2020, J AM PLANN ASSOC, V86, P403, DOI 10.1080/01944363.2020.1746688
   Bartholomew K, 2007, TRANSPORTATION, V34, P397, DOI 10.1007/s11116-006-9108-2
   Berke P, 2006, ENVIRON PLANN B, V33, P581, DOI 10.1068/b31166
   Berke P, 2015, J AM PLANN ASSOC, V81, P287, DOI 10.1080/01944363.2015.1093954
   Berke PhilipR., 2006, URBAN LAND USE PLANN, V5th
   Burby RaymondJ., 2000, Natural Hazards Review, V1, P99, DOI [10.1061/(ASCE)1527-6988(2000)1:2(99), DOI 10.1061/(ASCE)1527-6988(2000)1:2(99)]
   Burby RJ, 1999, J AM PLANN ASSOC, V65, P247, DOI 10.1080/01944369908976055
   Chakraborty A, 2011, J AM PLANN ASSOC, V77, P251, DOI 10.1080/01944363.2011.582394
   City of Austin, 2024, Flood risk and atlas 14
   City of Austin Watershed Protection, 2016, Flood safety
   Connor D. M., 1988, NATL CIV REV, V77, P249, DOI DOI 10.1002/NCR.4100770309
   CREIGHTON JAMESL., 1994, INVOLVING CITIZENS IN COMMUNITY DECISION MAKING: A GUIDEBOOK
   Cutter S.L., 2005, EOS, Transaction, American Geophysical Union, V86, P381, DOI [DOI 10.1029/2005EO410001, 10.1029/2005EO410001]
   Cutter SL, 2007, ENVIRONMENT, V49, P8, DOI 10.3200/ENVT.49.7.8-21
   Development Planning Financing Group, 2017, Wildhorse Ranch public improvement district city council presentation
   ESRI (Environmental Systems Research Institute), 2024, Shapefiles
   FEMA, 2015, Recovery coordination success leads to long island smart growth resilience partnership
   FEMA, 2016, Hazus-MH 2.1 user manual
   FEMA, 2020, Special Flood Hazard Area (SFHA)
   FEMA, 2020, Flood insurance rate map (FIRM)
   Forester J., 2001, The Deliberative Practitioner: Encouraging Participatory Planning Processes
   Fregonese Associates, 2016, Envision tomorrow
   Godschalk D., 1999, Natural Hazard Mitigation
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Goodspeed R., 2020, SCENARIO PLANNING CI
   Hopkins L.D., 2007, ENGAGING FUTURE
   Mileti D. S., 1999, Natural hazards and disasters
   National Research Council, 2015, Developing a framework for measuring community resilience
   NOAA NCEI (National Oceanic and Atmospheric Administration National Centers for Environmental Information), 2023, U.S.billion-dollar weather and climate disasters
   Nolon John., 2009, Planning and Environmental Law, V61, P3, DOI [DOI 10.1080/15480750903323068, DOI 10.1080/15480750903392485]
   Novak S., 2023, Austin American-Statesman
   Roberts Eric J., 2014, Lincoln Institute of Land Policy Working Paper
   Schwab J.C., 2010, ). Hazard mitigation: integrating best practices into planning
   Smith K., 2020, The disaster Mitigation Act of 2000: 20years of mitigation planning
   Stapleton J., 2020, How to use exploratory scenario planning (XSP): Navigating an uncertain future
   Tang Z., 2020, The Routledge handbook of urban disaster resilience, P337
   Taurus Investment Holdings LLC, 2017, Whisper valley
   US Department of Homeland Security and US Environmental Protection Agency, 2010, Memorandum of agreement
   US Department of Housing and Urban Development, 2010, Notice of funding availability (NOFA) for HUD's fiscal year 2010 sustainable communities regional planning grant program
   Wollenberg E, 2000, LANDSCAPE URBAN PLAN, V47, P65, DOI 10.1016/S0169-2046(99)00071-7
   Xiang WN, 2003, ENVIRON PLANN B, V30, P885, DOI 10.1068/b2945
NR 44
TC 0
Z9 0
U1 2
U2 2
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
J9 NAT HAZARDS REV
JI Nat. Hazards Rev.
PD MAY 1
PY 2025
VL 26
IS 2
AR 04025005
DI 10.1061/NHREFO.NHENG-2217
PG 13
WC Engineering, Civil; Environmental Studies; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
GA 0DI3W
UT WOS:001444666500019
DA 2025-04-22
ER

PT J
AU Untereiner, E
   Toboso-Chavero, S
   Fariñas, A
   Madrid-Lopez, C
   Villalba, G
   Durany, X
AF Untereiner, Erin
   Toboso-Chavero, Susana
   Vazquez Farinas, Ana
   Madrid-Lopez, Cristina
   Villalba, Gara
   Gabarrell Durany, Xavier
TI Predicting willingness to pay and implement different rooftop strategies
   to characterize social perception of climate change mitigation and
   adaptation
SO ENVIRONMENTAL RESEARCH COMMUNICATIONS
LA English
DT Article
DE public perception; urban agriculture; urban ecology; socio-ecological
   systems; circular cities; urban green infrastructure
ID GREEN INFRASTRUCTURE; PUBLIC PERCEPTIONS; URBAN; ATTITUDES; CITIES;
   STAKEHOLDERS; AGRICULTURE; HEALTH; POLICY; CITY
AB With the latest IPCC report, dramatic global climate action must be taken immediately to limit global warming to 1.5 degrees C, or face more frequent and extreme weather events with catastrophic implications. Cities must invest in climate resilience development; however, government policies are only effective if they are supported by the society in which they serve. As such, this study aims to characterize the social perception of climate resilience development, in particular the implementation of sustainable urban rooftop strategies, to support policy makers and enable individual action. This was accomplished through the analysis of 1,100 answered surveys in Cerdanyola del Valles (Spain), to assess one's willingness to pay (WTP) and willingness to implement (WTI) rooftop strategies according to: 1. socio-demographical characteristics; 2. social perceptions and beliefs; and 3. surrounding land use and land cover, and vulnerabilities identified through temperature and normalized difference vegetation index (NDVI) maps. The results of this study found age played a significant role in predictability, with 18-39-year-olds being the most willing to pay and implement the various rooftop scenarios. However, our results uncovered societal inequality as those 85+ were the second group most interested in rooftop agriculture but the most financially restricted. Belief in the viability of rooftop strategies increased respondents WTP and WTI while having access to ones' rooftop increased willingness to partake in rooftop food cultivation and enhance rooftop greenery. A new finding presented by this study is the quantifiable impact that urban greenery plays on increasing survey respondents WTP and WTI.
C1 [Untereiner, Erin; Toboso-Chavero, Susana; Madrid-Lopez, Cristina; Villalba, Gara; Gabarrell Durany, Xavier] Univ Autonoma Barcelona UAB, Inst Environm Sci & Technol ICTA, Sostenipra Res Grp SGR 00734 2021, Barcelona, Spain.
   [Toboso-Chavero, Susana] Erasmus Univ, Rotterdam Sch Management, Rotterdam, Netherlands.
   [Toboso-Chavero, Susana] Delft Univ Technol, Fac Civil Engn & Geosci, Dept Mat Mech Management & Design, Integral Design & Management, Delft, Netherlands.
   [Vazquez Farinas, Ana] Univ Autonoma Barcelona UAB, Serv Estadist Aplicada, Barcelona, Spain.
   [Villalba, Gara; Gabarrell Durany, Xavier] Univ Autonoma Barcelona UAB, Chem Biol & Environm Engn, Barcelona, Spain.
C3 Hospital Universitari Vall d'Hebron; Autonomous University of Barcelona;
   Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC; Delft University of Technology; Hospital Universitari Vall
   d'Hebron; Autonomous University of Barcelona; Autonomous University of
   Barcelona; Hospital Universitari Vall d'Hebron
RP Toboso-Chavero, S (corresponding author), Univ Autonoma Barcelona UAB, Inst Environm Sci & Technol ICTA, Sostenipra Res Grp SGR 00734 2021, Barcelona, Spain.; Toboso-Chavero, S (corresponding author), Erasmus Univ, Rotterdam Sch Management, Rotterdam, Netherlands.; Toboso-Chavero, S (corresponding author), Delft Univ Technol, Fac Civil Engn & Geosci, Dept Mat Mech Management & Design, Integral Design & Management, Delft, Netherlands.
EM Susana.Toboso@uab.cat
RI Toboso-Chavero, Susana/AAQ-3447-2021; Gabarrell Durany,
   Xavier/F-5575-2011; villalba, gara/B-1379-2009; Madrid Lopez,
   Cristina/C-5958-2018
OI Toboso-Chavero, Susana/0000-0001-8475-5184; Untereiner,
   Erin/0000-0002-4531-931X; Gabarrell Durany, Xavier/0000-0003-1730-4337;
   villalba, gara/0000-0001-6392-0902; Vazquez Farinas,
   Ana/0000-0001-6732-1667; Madrid Lopez, Cristina/0000-0002-4969-028X
FU AGAUR; Catalan Agencia de Gestio d'Ajuts Universitaris i de Recerca
   (AGAUR) [2020 PANDE 00021, 2021SGR00734]; European Research Council
   (ERC) Consolidator project, Integrated System Analysis of Urban
   Vegetation and Agriculture [818002-URBAG]; MOVE4EDU project
   [PID2021-126845OB-C21]; MCIN/AEI; Maria de Maeztu' Programme for Units
   of Excellence of the Spanish Ministry of Science and Innovation
   [CEX2019-000940-M]
FX The survey was funded by AGAUR. Catalan Agencia de Gestio d'Ajuts
   Universitaris i de Recerca (AGAUR) under grant agreements 2020 PANDE
   00021 and 2021SGR00734 Sostenipra; European Research Council (ERC)
   Consolidator project, Integrated System Analysis of Urban Vegetation and
   Agriculture (818002-URBAG). The publication reflects the author's views.
   The Research Executive Agency (REA) is not liable for any use that may
   be made of the information contained therein.This research has received
   financial support from the MOVE4EDU project(Modular ventilation system
   integrated with urban food production in educational buildings)
   PID2021-126845OB-C21,(MCIN/AEI/10.13039/501100011033/FEDER)and the
   'Maria de Maeztu' Programme for Units of Excellence of the Spanish
   Ministry of Science and Innovation(CEX2019-000940-M).
CR Ajuntament de Cerdanyola del Valles, 2022, Sobre Cerdanyola
   [Anonymous], 2016, WORLD CITIES REPORT
   Ash C, 2008, SCIENCE, V319, P739, DOI 10.1126/science.319.5864.739
   Baptiste AK, 2015, LANDSCAPE URBAN PLAN, V136, P1, DOI 10.1016/j.landurbplan.2014.11.012
   Barcelona City Council, 2018, Climate plan 2018-2030
   Barnhill K, 2012, ENVIRON PRAC, V14, P6, DOI 10.1017/S1466046611000470
   Baro F, 2019, ENVIRON SCI POLICY, V102, P54, DOI 10.1016/j.envsci.2019.08.016
   Bell D, 2009, INT J URBAN REGIONAL, V33, P683, DOI 10.1111/j.1468-2427.2009.00886.x
   Bienert S, 2023, Embodied carbon of retrofits. Ensuring the ecological payback of energetic retrofits
   Broussard SR, 2001, J FOREST, V99, P37
   Budescu DV, 2009, PSYCHOL SCI, V20, P299, DOI 10.1111/j.1467-9280.2009.02284.x
   CREAF, 2015, Land cover map of Catalonia
   Crona B, 2013, CLIMATIC CHANGE, V119, P519, DOI 10.1007/s10584-013-0708-5
   DARPA, 2015, Mapa de cultius DUN-SIGPAC
   Dennis M, 2017, LANDSCAPE URBAN PLAN, V157, P343, DOI 10.1016/j.landurbplan.2016.08.009
   Dijkstra L., 2012, Cities in Europe: The new OECD-EC definition
   Directorate-General for Energy, 2019, Driving Energy Efficiency in The Europrean building stock: New Recommendations on The Modernisation of Buildings
   Directorate-General for Energy, 2020, Renovation Wave
   el-Baghdadi O, 2017, URBAN FOR URBAN GREE, V27, P399, DOI 10.1016/j.ufug.2016.10.016
   FAO, 2017, 2017 The State of food and agriculture: Leveraging food systems for inclusive rural transformation
   Gemeente Rotterdam, 2023, Multifunctional roofs
   Gilabert J, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100863
   Grossmann K, 2021, GEOGR ANN B, V103, P169, DOI 10.1080/04353684.2021.1953280
   He BJ, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103361
   IDESCAT, 2022, Statistical Institute of Catalonia
   IPCC Press Office, 2023, IPCC Press Release
   Lamb WF, 2019, NAT CLIM CHANGE, V9, P279, DOI 10.1038/s41558-019-0440-x
   Langemeyer J, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.135487
   Lepp N W., 2008, Journal of Environmental Quality, V37, P2408, DOI DOI 10.2134/JEQ2008.0016BR
   Li D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/5/055002
   Li DY, 2016, LANDSCAPE URBAN PLAN, V148, P149, DOI 10.1016/j.landurbplan.2015.12.015
   Liu X, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101405
   Maas J, 2009, J EPIDEMIOL COMMUN H, V63, P967, DOI 10.1136/jech.2008.079038
   Mairie de Paris, 2016, Paris Land Use Plan
   Manríquez-Altamirano A, 2020, SCI TOTAL ENVIRON, V734, DOI 10.1016/j.scitotenv.2020.139375
   Beltran AM, 2022, SCI TOTAL ENVIRON, V822, DOI 10.1016/j.scitotenv.2022.153514
   Mitchell R, 2007, J EPIDEMIOL COMMUN H, V61, P681, DOI 10.1136/jech.2006.053553
   Muñoz-Liesa J, 2022, BUILD ENVIRON, V208, DOI 10.1016/j.buildenv.2021.108585
   Musterd S., 2013, Place-making and policies for competitive cities
   Nadal A, 2018, LAND USE POLICY, V76, P719, DOI 10.1016/j.landusepol.2018.02.055
   PDU, 2017, Urbanisme i Genere: PLA Director Urbanistic (PDU) del Centre Direccional de Cerdanyola del Valles
   Reiner DM, 2006, ENVIRON SCI TECHNOL, V40, P2093, DOI 10.1021/es052010b
   Ritchie H., 2022, Environmental Impacts of Food Production: Greenhouse gas emissions across the supply chain
   Sanesi Giovanni, 2006, Urban Forestry & Urban Greening, V5, P121, DOI [10.1016/j.ufug.2006.06.001, 10.1016/j.ufug.2005.12.001]
   Sanyé-Mengual E, 2016, AGR HUM VALUES, V33, P101, DOI 10.1007/s10460-015-9594-y
   Schade J., 2003, Transportation Research Part F, V6, P45, DOI DOI 10.1016/S1369-8478(02)00046-3
   Segura R, 2022, URBAN CLIM, V46, DOI 10.1016/j.uclim.2022.101288
   Semenza JC, 2008, AM J PREV MED, V35, P479, DOI 10.1016/j.amepre.2008.08.020
   SEP, 2023, Standford Encyclopedia of Philosophy
   Specht K, 2017, ENVIRON SCI POLICY, V69, P13, DOI 10.1016/j.envsci.2016.12.001
   Specht K, 2016, AGR HUM VALUES, V33, P753, DOI 10.1007/s10460-015-9658-z
   Toboso-Chavero S, 2023, SUSTAIN CITIES SOC, V95, DOI 10.1016/j.scs.2023.104599
   Toboso-Chavero S, 2021, ENVIRON RES COMMUN, V3, DOI 10.1088/2515-7620/abffa5
   Toboso-Chavero S, 2019, J IND ECOL, V23, P767, DOI 10.1111/jiec.12829
   Tsantopoulos G, 2018, URBAN FOR URBAN GREE, V34, P181, DOI 10.1016/j.ufug.2018.06.017
   UNDRR, 2022, MCR 2030
   Wang YT, 2017, RESOUR CONSERV RECY, V122, P11, DOI 10.1016/j.resconrec.2017.02.002
   WHO Regional Office for Europe, 2017, Urban green spaces: a brief for action
   World Bank Group, 2022, Thriving: Making cities green, resilient, and inclusive in a changing climate, DOI [10.1596/978-1-4648-1935-3, DOI 10.1596/978-1-4648-1935-3]
   Zambrano-Prado P, 2021, CITIES, V114, DOI 10.1016/j.cities.2021.103196
   Zhang L, 2019, BUILD ENVIRON, V150, P13, DOI 10.1016/j.buildenv.2018.12.048
NR 61
TC 3
Z9 3
U1 10
U2 28
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 2515-7620
J9 ENVIRON RES COMMUN
JI Environ. Res. Commun.
PD JAN 1
PY 2024
VL 6
IS 1
AR 015004
DI 10.1088/2515-7620/ad1b65
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EZ7G7
UT WOS:001142820000001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Wentz, EA
   Solís, P
   Wang, CY
   Aguiar-Hernandez, C
   Courtright, H
   Dock, AJ
AF Wentz, Elizabeth A.
   Solis, Patricia
   Wang, Chuyuan
   Aguiar-Hernandez, Carlos
   Courtright, Hank
   Dock, Aaron J.
TI Planning for Heat Resilience and the Future of Residential Electricity
   Usage
SO ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
LA English
DT Article
DE community resilience; COVID-19; housing; residential energy use; urban
   climate adaptation
ID ENERGY-CONSUMPTION; BUILT ENVIRONMENT; CLIMATE-CHANGE; URBAN; IMPACT;
   VULNERABILITY; TEMPERATURES; HEALTH; URBANIZATION; PHOENIX
AB Community resilience refers to the ability for a geographic area to respond and adapt to acute shocks and long-term stresses. Geography research is well positioned to examine how communities can adapt to the compounding effects of climate change. Our work aims to analyze the factors that influence residential electricity in the context of increasing urban temperatures in Maricopa County, Arizona, coupled with the COVID-19 pandemic. Using census tracts as our basis for analysis, we quantified factors that influence electricity use related to neighborhood characteristics, home structures, social situations, pricing policies, and work-from-home estimates. Our findings suggest that the structure of the home (e.g., number of rooms and house size) influences the variation in residential electricity use, whereas trees and small-area temperatures were not factors. We then compared above-median-income census tracts to those that were below the median income. We found fewer factors influenced electricity use in the lower income census tracts and that they were also related mostly to the home structure. Our analysis did not reveal that working from home was significant, but we did find that the average household size was significant and that the amount of influence increased from 2019 to 2020, suggesting that the stay-at-home policies from the pandemic did affect electricity use. As we consider and implement work-from-home strategies, families need to recognize that the home structure plays a crucial role in determining electricity usage.
C1 [Wentz, Elizabeth A.; Solis, Patricia] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USA.
   [Wang, Chuyuan] Towson Univ, Dept Geog & Environm Planning, Towson, MD USA.
   [Aguiar-Hernandez, Carlos] Arizona State Univ, Coll Global Futures, Tempe, AZ USA.
   [Courtright, Hank; Dock, Aaron J.] Salt River Project, Tempe, AZ USA.
C3 Arizona State University; Arizona State University-Tempe; University
   System of Maryland; Towson University; Arizona State University; Arizona
   State University-Tempe
RP Wentz, EA (corresponding author), Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USA.
EM wentz@asu.edu
RI Solis, Patricia/AAO-6537-2021; Wang, Chuyuan/I-2662-2018
OI Wang, Chuyuan/0000-0002-6381-6424; Solis, Patricia/0000-0003-1374-9400
CR Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Alqasemi AS, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2020.144330
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   Baker Marissa G, 2020, PLoS One, V15, pe0232452, DOI 10.1371/journal.pone.0232452
   Barthelemy M, 2016, ENVIRON PLANN B, V43, P800, DOI 10.1177/0265813516649955
   Bayulken B, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125569
   Benson ED, 1998, J REAL ESTATE FINANC, V16, P55, DOI 10.1023/A:1007785315925
   Bikomeye JC, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18168420
   Bobrowska-Korzeniowska M, 2021, INT J OCCUP MED ENV, V34, P453, DOI 10.13075/ijomeh.1896.01651
   Brown MA, 2020, PROG ENERGY, V2, DOI 10.1088/2516-1083/abb954
   Bureau of Labor Statistics, 2023, About us
   Buylova A, 2020, ENERG POLICY, V140, DOI 10.1016/j.enpol.2020.111439
   Calvert K, 2016, PROG HUM GEOG, V40, P105, DOI 10.1177/0309132514566343
   Castells-Quintana D, 2021, ECOL ECON, V189, DOI 10.1016/j.ecolecon.2021.107153
   Centers for Disease Control, 2021, HURR ID
   Central Arizona-Phoenix Long-Term Ecological Research, 2020, LAND COV MAPP CENTR
   Chapman S, 2017, LANDSCAPE ECOL, V32, P1921, DOI 10.1007/s10980-017-0561-4
   Chow WTL, 2012, PROF GEOGR, V64, P286, DOI 10.1080/00330124.2011.600225
   Cicala S, 2021, J PUBLIC ECON, V200, DOI 10.1016/j.jpubeco.2021.104461
   Clark DE, 2000, GROWTH CHANGE, V31, P385, DOI 10.1111/0017-4815.00134
   Cong SC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30146-5
   Dingel JI, 2020, J PUBLIC ECON, V189, DOI 10.1016/j.jpubeco.2020.104235
   Eisenman DP, 2016, HEALTH PLACE, V41, P89, DOI 10.1016/j.healthplace.2016.08.007
   Environmental Protection Agency, 2022, HOM PAG
   Ewing R, 2008, HOUS POLICY DEBATE, V19, P1, DOI 10.1080/10511482.2008.9521624
   Ezell JM, 2021, LANCET PLANET HEALTH, V5, pE309, DOI 10.1016/S2542-5196(21)00076-0
   Fraser AM, 2017, ENVIRON PLAN B-URBAN, V44, P1036, DOI 10.1177/0265813516657342
   Gorgani S., 2013, The relationship between NDVI and LST in the urban area of mashhad, iran the relationship between NDVI and LST in the urban area of Mashhad
   Guardaro M, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100415
   Guardaro M, 2023, AM J PUBLIC HEALTH, V113, P465, DOI 10.2105/AJPH.2023.307260
   Harlan SL, 2013, ENVIRON HEALTH PERSP, V121, P197, DOI 10.1289/ehp.1104625
   Hernández D, 2013, AM J PUBLIC HEALTH, V103, pE32, DOI 10.2105/AJPH.2012.301179
   Hidalgo-García D, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104166
   Hondula DM, 2015, CURR CLIM CHANGE REP, V1, P144, DOI 10.1007/s40641-015-0016-4
   Howard B, 2012, ENERG BUILDINGS, V45, P141, DOI 10.1016/j.enbuild.2011.10.061
   Huang WH, 2015, ENERGY, V87, P120, DOI 10.1016/j.energy.2015.04.101
   Isaac M, 2009, ENERG POLICY, V37, P507, DOI 10.1016/j.enpol.2008.09.051
   Iverson SA, 2020, PUBLIC HEALTH REP, V135, P631, DOI 10.1177/0033354920938006
   Jafino B A., 2020, Revised estimates of the impact of climate change on extreme poverty by 2030
   Jenerette GD, 2016, LANDSCAPE ECOL, V31, P745, DOI 10.1007/s10980-015-0284-3
   Jenkins K, 2016, ENERGY RES SOC SCI, V11, P174, DOI 10.1016/j.erss.2015.10.004
   Jones A, 2023, ENERG POLICY, V183, DOI 10.1016/j.enpol.2023.113811
   Kaza N, 2010, ENERG POLICY, V38, P6574, DOI 10.1016/j.enpol.2010.06.028
   Kear M. M., 2020, ARIZONA REPUBLIC
   Keith Meerow., 2020, J EXTREME EVENTS, DOI DOI 10.1142/S2345737620500037
   Kontokosta CE, 2020, J AM PLANN ASSOC, V86, P89, DOI 10.1080/01944363.2019.1647446
   Ku AL, 2022, APPL ENERG, V310, DOI 10.1016/j.apenergy.2022.118539
   Kuzemko C, 2020, ENERGY RES SOC SCI, V68, DOI 10.1016/j.erss.2020.101685
   Kwon M, 2023, ENERG POLICY, V183, DOI 10.1016/j.enpol.2023.113813
   Lemanski C, 2016, GEOGRAPHY, V101, P4
   Lou JH, 2021, ISCIENCE, V24, DOI 10.1016/j.isci.2021.103231
   Maricopa County Department of Public Health, 2021, MARICOPA COUNTY DEP
   Memmott T, 2023, ISCIENCE, V26, DOI 10.1016/j.isci.2023.106244
   Memmott T, 2021, NAT ENERGY, V6, P186, DOI 10.1038/s41560-020-00763-9
   Milosevic D, 2022, SCI TOTAL ENVIRON, V815, DOI 10.1016/j.scitotenv.2021.152782
   National Oceanic and Atmospheric Administration, 2021, HOM PAG
   Nieuwenhuijsen MJ, 2021, ENVIRON INT, V157, DOI 10.1016/j.envint.2021.106850
   Parida BR, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103336
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Perera ATD, 2020, NAT ENERGY, V5, P150, DOI 10.1038/s41560-020-0558-0
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Psistaki K, 2023, ENVIRON RES, V216, DOI 10.1016/j.envres.2022.114831
   Reinwald F, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910606
   Roshan G, 2022, J CLEAN PROD, V352, DOI 10.1016/j.jclepro.2022.131498
   Salt River Project (SRP), 2022, HOM PAG
   Santamouris M, 2015, ENERG BUILDINGS, V91, P43, DOI 10.1016/j.enbuild.2015.01.027
   Saputra A., 2022, IOP Conference Series: Earth and Environmental Science, V986, DOI 10.1088/1755-1315/986/1/012069
   Scheier E, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-021-27673-y
   Schmeltz MT, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16173091
   Shikwambana L, 2021, AEROSOL AIR QUAL RES, V21, DOI 10.4209/aaqr.200437
   Stewart ID, 2011, INT J CLIMATOL, V31, P200, DOI 10.1002/joc.2141
   Turner VK, 2023, NATURE, V619, P694, DOI 10.1038/d41586-023-02311-3
   Tzavali A, 2015, FRESEN ENVIRON BULL, V24, P4535
   U.S. Census Bureau, 2023, HOM PAG
   U.S. Energy Information Administration, 2023, HOM PAG
   United Nations (UN), 2022, HOM PAG
   Wai CY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14010378
   Wang CY, 2022, INT J ENVIRON HEAL R, V32, P1147, DOI 10.1080/09603123.2020.1847258
   Wang CY, 2021, J URBAN HEALTH, V98, P344, DOI 10.1007/s11524-021-00520-7
   Wang Q, 2016, RENEW SUST ENERG REV, V54, P1563, DOI 10.1016/j.rser.2015.10.090
   Weiyu L., 2022, GEOSPATIAL DATA ANAL, P33
   White LV, 2018, NAT ENERGY, V3, P1101, DOI 10.1038/s41560-018-0285-y
   Xi ZJ, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160270
   Zhao L, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00958-8
   Zhao N, 2021, ADV APPL ENERGY, V2, DOI 10.1016/j.adapen.2021.100019
   Zhao QS, 2018, URBAN FOR URBAN GREE, V32, P81, DOI 10.1016/j.ufug.2018.03.022
NR 86
TC 1
Z9 1
U1 4
U2 6
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2469-4452
EI 2469-4460
J9 ANN AM ASSOC GEOGR
JI Ann. Am. Assoc. Geogr.
PD MAY 27
PY 2024
VL 114
IS 5
BP 918
EP 942
DI 10.1080/24694452.2024.2304188
EA JAN 2024
PG 25
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA RW5T4
UT WOS:001189720800001
OA hybrid
DA 2025-04-22
ER

PT J
AU Andersson, E
   Barthel, S
   Borgström, S
   Colding, J
   Elmqvist, T
   Folke, C
   Gren, Å
AF Andersson, Erik
   Barthel, Stephan
   Borgstrom, Sara
   Colding, Johan
   Elmqvist, Thomas
   Folke, Carl
   Gren, Asa
TI Reconnecting Cities to the Biosphere: Stewardship of Green
   Infrastructure and Urban Ecosystem Services
SO AMBIO
LA English
DT Article
DE Biodiversity; Ecosystem services; Property rights; Stewardship; Urban
   ecology; Urban social-ecological systems
ID BIODIVERSITY CONSERVATION; LAND-USE; HABITAT FRAGMENTATION; BUILDING
   RESILIENCE; LANDSCAPES; MANAGEMENT; STOCKHOLM; DIVERSITY; PATTERNS;
   ECOLOGY
AB Within-city green infrastructure can offer opportunities and new contexts for people to become stewards of ecosystem services. We analyze cities as social-ecological systems, synthesize the literature, and provide examples from more than 15 years of research in the Stockholm urban region, Sweden. The social-ecological approach spans from investigating ecosystem properties to the social frameworks and personal values that drive and shape human interactions with nature. Key findings demonstrate that urban ecosystem services are generated by social-ecological systems and that local stewards are critically important. However, land-use planning and management seldom account for their role in the generation of urban ecosystem services. While the small scale patchwork of land uses in cities stimulates intense interactions across borders much focus is still on individual patches. The results highlight the importance and complexity of stewardship of urban biodiversity and ecosystem services and of the planning and governance of urban green infrastructure.
C1 [Andersson, Erik; Barthel, Stephan; Borgstrom, Sara; Elmqvist, Thomas; Folke, Carl] Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden.
   [Colding, Johan; Folke, Carl; Gren, Asa] Royal Swedish Acad Sci, Beijer Inst, S-10405 Stockholm, Sweden.
C3 Stockholm University; Royal Swedish Academy of Sciences; Beijer
   Institute of Ecological Economics
RP Andersson, E (corresponding author), Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden.
EM erik.andersson@su.se; stephan.barthel@stockholmresilience.su.se;
   sarab@stockholmresilience.su.se; johanc@beijer.kva.se;
   thomas.elmqvist@stockholmresilience.su.se; carl.folke@beijer.kva.se;
   asa.gren@beijer.kva.se
RI Folke, Carl/Z-1545-2019; Elmqvist, Thomas/AAY-6344-2021; Andersson,
   Erik/AAE-9771-2019; Colding, Johan/AAB-7047-2019; barthel,
   stephan/AAE-8367-2019
OI barthel, stephan/0000-0003-2637-2024; Folke, Carl/0000-0002-4050-3281;
   Andersson, Erik/0000-0003-2716-5502; Colding, Johan/0000-0001-7644-7448;
   Gren, Asa/0000-0002-9021-1033; Elmqvist, Thomas/0000-0002-4617-6197
FU Department of Systems Ecology, Stockholm University; Swedish Research
   Council for the Environment, Agricultural Sciences and Spatial Planning
   (FORMAS)
FX We would like to thank all our co-authors, in particular Henrik
   Ernstson, Karin Ahrne and Jakob Lundberg. The original research was made
   possible by PhD-grants from the Department of Systems Ecology, Stockholm
   University, and by funds granted by The Swedish Research Council for the
   Environment, Agricultural Sciences and Spatial Planning (FORMAS), among
   them Urban Form-project and the SUPER-project (Colding, Barthel and
   Andersson), Urban Biodiversity - patterns and processes (Andersson), and
   through the Center of Excellence (FORMAS) (Gren).
CR Altieri M. A., 1999, Agriculture and Human Values, V16, P131, DOI 10.1023/A:1007545304561
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   Andersson E, 2009, ECOGRAPHY, V32, P123, DOI 10.1111/j.1600-0587.2008.05435.x
   ANDREN H, 1994, OIKOS, V71, P355, DOI 10.2307/3545823
   [Anonymous], 2009, CITIES ENV
   Ansell C.K., 2003, Social movements and networks relational approaches to collective action, P123, DOI DOI 10.1093/0199251789.003.0006
   Barthel S, 2005, ECOL SOC, V10
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Berkes F., 2000, Linking social and ecological systems: Management practices and social mechanisms for building resilience
   Blitzer EJ, 2012, AGR ECOSYST ENVIRON, V146, P34, DOI 10.1016/j.agee.2011.09.005
   Borgström S, 2012, APPL GEOGR, V32, P350, DOI 10.1016/j.apgeog.2011.06.012
   Borgström ST, 2006, ECOL SOC, V11
   Borgström ST, 2009, ENVIRON PLANN A, V41, P2671, DOI 10.1068/a41312
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Colding J, 2006, AMBIO, V35, P237, DOI 10.1579/05-A-098R.1
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Colding J, 2009, ECOSYSTEMS, V12, P191, DOI 10.1007/s10021-008-9217-1
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Ernstson H, 2010, ECOL SOC, V15
   Ernstson H, 2009, ENVIRON PLANN A, V41, P1460, DOI 10.1068/a40349
   Ernstson H, 2008, ECOL SOC, V13
   Fahrig L, 2011, ECOL LETT, V14, P101, DOI 10.1111/j.1461-0248.2010.01559.x
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Folke C, 1997, AMBIO, V26, P167
   Folke C, 2011, AMBIO, V40, P719, DOI 10.1007/s13280-011-0184-y
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hanna Susan., 1996, RIGHTS NATURE ECOLOG
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Hope D, 2003, P NATL ACAD SCI USA, V100, P8788, DOI 10.1073/pnas.1537557100
   Jansson A, 2001, ECOL ECON, V39, P361, DOI 10.1016/S0921-8009(01)00224-5
   Jansson Å, 2010, ECOL SOC, V15
   Kinzig AP, 2005, ECOL SOC, V10
   Kremen C, 2005, ECOL LETT, V8, P468, DOI 10.1111/j.1461-0248.2005.00751.x
   Lee S, 2006, GEOJOURNAL, V66, P27, DOI 10.1007/s10708-006-9014-3
   Lundberg J, 2008, LANDSCAPE ECOL, V23, P717, DOI 10.1007/s10980-008-9232-9
   Miller JR, 2005, TRENDS ECOL EVOL, V20, P430, DOI 10.1016/j.tree.2005.05.013
   Nazarea VD, 2006, ANNU REV ANTHROPOL, V35, P317, DOI 10.1146/annurev.anthro.35.081705.123252
   Ostrom E., 1990, GOVERNING COMMONS EV, DOI DOI 10.1017/CBO9780511807763
   Poiani KA, 2000, BIOSCIENCE, V50, P133, DOI 10.1641/0006-3568(2000)050[0133:BCAMSF]2.3.CO;2
   PYLE RM, 1977, HORTICULTURE, V55, P65
   Rees W, 1996, ENVIRON IMPACT ASSES, V16, P223, DOI 10.1016/S0195-9255(96)00022-4
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Runhaar H, 2009, ENVIRON PLANN B, V36, P417, DOI 10.1068/b34052
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Turner WR, 2004, BIOSCIENCE, V54, P585, DOI 10.1641/0006-3568(2004)054[0585:GUATSO]2.0.CO;2
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   van Heezik YM, 2012, ECOL SOC, V17, DOI 10.5751/ES-04712-170134
   Walker C., 2007, LAND QUESTION S AFRI, P132
   Wittemyer G, 2008, SCIENCE, V321, P123, DOI 10.1126/science.1158900
NR 52
TC 421
Z9 491
U1 29
U2 601
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD MAY
PY 2014
VL 43
IS 4
SI SI
BP 445
EP 453
DI 10.1007/s13280-014-0506-y
PG 9
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology
GA AF0YY
UT WOS:000334442400004
PM 24740616
OA Green Published, hybrid
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Wu, MD
   Xu, GB
   Zhang, YZ
   Sun, QH
AF Wu, Mengdi
   Xu, Guobin
   Zhang, Yazhuo
   Sun, Qiuhui
TI Resilient spatial design strategies research of urban inland rivers: The
   case of Xinghai Lake wetland in Ningxia, China
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Xinghai Lake Wetland; Numerical simulation; Elastic space; Ecological
   resilience; River Landscape
ID WATER-LEVEL FLUCTUATIONS; LAND-USE CHANGE; ECOLOGICAL INFRASTRUCTURE;
   ECOSYSTEM SERVICES; RESTORATION; BASIN
AB Improving the resilience of rivers is a crucial method for mitigating urban flooding, restoring the ecological role of rivers, and promoting sustainable ecological development. This study specifically examines the relationship between changes in river morphology and river elasticity space, using the Xinghai Lake wetland as a case study. The MIKE 21 numerical model is employed to simulate and analyze the morphology changes of Xinghai Lake under various conditions during both the low-water and high-water periods. The findings indicated that during the period of abundant water, the inundation area of Xinghai Lake increased by 1.64 times, the average water level rose by 0.96 m, and the average flow speed decreased by approximately 11.8 % compared to the flat water period under the circulating condition within the lake. By utilizing Xinghai Lake as a channel for overflowing Yellow River water, the stability of the lake's body is improved. When Xinghai Lake is utilized as the channel for water from the Yellow River, it contributes to the increased stability of the lake. Based on the morphological characteristics of various river sections, this study identifies the potential areas for scouring, eutrophication, and flooding in the future. It also suggests specific strategic solutions to improve the resilience and ecological robustness of the river. These proposals aim to provide scientific support for enhancing the ecological robustness of urban inland lakes.
C1 [Wu, Mengdi; Xu, Guobin; Zhang, Yazhuo] Tianjin Univ, State Key Lab Hydraul Engn Intelligent Construct &, 135 Yaguan Rd, Tianjin 300072, Peoples R China.
   [Wu, Mengdi; Xu, Guobin; Zhang, Yazhuo] Tianjin Univ, Sch Civil Engn, Tianjin 300072, Peoples R China.
   [Zhang, Yazhuo] Tianjin Univ Res Inst Architectural Design & Urban, Tianjin 300073, Peoples R China.
   [Sun, Qiuhui] Design & Res Co Ltd, China Water Resources Beifang Invest, Tianjin 300222, Peoples R China.
C3 Tianjin University; Tianjin University
RP Zhang, YZ (corresponding author), Tianjin Univ, State Key Lab Hydraul Engn Intelligent Construct &, 135 Yaguan Rd, Tianjin 300072, Peoples R China.
EM zhangyazhuo@tju.edu.cn
RI Xu, Guobin/O-6304-2014
CR Al-Wadaey A, 2014, J MT SCI-ENGL, V11, P782, DOI 10.1007/s11629-013-2827-x
   Ashley R., 2007, Advances in Urban Flood Management
   Bernhardt ES, 2005, SCIENCE, V308, P636, DOI 10.1126/science.1109769
   Burian S.J., 2002, Proceedings of Global Solutions for Urban Drainage: 9th International Conference on Urban Drainage (9ICUD), P1, DOI [DOI 10.1061/40644(2002)284, 10.1061/40644(2002)284]
   Chang Z.L., 2021, Journal of Natural Disasters, V4, DOI [10.13577/j.jnd.2021.0421, DOI 10.13577/J.JND.2021.0421]
   Choi G., 2010, P KOR WAT RES ASS C, V5, P620
   Coops H, 2003, HYDROBIOLOGIA, V506, P23, DOI 10.1023/B:HYDR.0000008595.14393.77
   DAHM CN, 1995, RESTOR ECOL, V3, P225, DOI 10.1111/j.1526-100X.1995.tb00172.x
   Dai ZX, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120583
   De Bruijn K.M., 2005, Resilience and flood risk management: A systems approach applied to lowland rivers
   Delong M. D., 2023, Rivers of north America, V2nd ., P314
   Dierauer J, 2012, J HYDROL, V450, P1, DOI 10.1016/j.jhydrol.2012.05.044
   Dufty N., 2013, The importance of connected communities to flood resilience
   Fuller IC, 2019, RIVER RES APPL, V35, P91, DOI 10.1002/rra.3384
   Gao J, 2017, J CLEAN PROD, V163, pS148, DOI 10.1016/j.jclepro.2016.01.049
   Gao YN, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110623
   Getter KL, 2006, HORTSCIENCE, V41, P1276, DOI 10.21273/HORTSCI.41.5.1276
   Gunter M.M., 2012, Biological Conservation, V148, P221
   Han H, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110833
   Ho LT, 2019, WATER-SUI, V11, DOI 10.3390/w11071462
   Hopkins R., 2013, The Power of Just Doing Stuff
   Huang J, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110763
   Huang Z.Y., 2020, Journal of xi'an University of Technology, V3, P300, DOI [10.19322/j.cnki.issn.1006-4710.2020.03.005, DOI 10.19322/J.CNKI.ISSN.1006-4710.2020.03.005]
   Issaka S., 2017, Geol. Ecol. Landscapes, V1, P1, DOI [DOI 10.1080/24749508.2017.1301053, 10.1080/24749508.2017.1301053]
   Janssen ABG, 2021, FRESHWATER BIOL, V66, P1, DOI 10.1111/fwb.13582
   Jiang W, 2021, ECOSYST SERV, V52, DOI 10.1016/j.ecoser.2021.101365
   Kaur I., 2024, Managing Urban Rivers, P43
   Kuang WH, 2012, J GEOGR SCI, V22, P535, DOI 10.1007/s11442-012-0945-y
   Li F, 2017, J CLEAN PROD, V163, pS12, DOI 10.1016/j.jclepro.2016.02.079
   [李加林 Li Jialin], 2006, [水土保持学报, Journal of Soil and Water Conservation], V20, P129
   Li YL, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124852
   Liu J.-F., 2019, Ecological Indicators
   Liu JF, 2019, ECOL INDIC, V104, P470, DOI 10.1016/j.ecolind.2019.05.021
   Liu W, 2019, ENVIRON SCI POLLUT R, V26, P10251, DOI 10.1007/s11356-018-04110-0
   Lourenço IB, 2020, J CLEAN PROD, V277, DOI 10.1016/j.jclepro.2020.122983
   Luo ZX, 2011, J COMPUT APPL MATH, V236, P892, DOI 10.1016/j.cam.2011.05.015
   McEwen L., 2012, Flood Histories, Flood Memories and Informal Flood Knowledge in the Development of Community Resilience to Future Flood Risk
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller NL, 2009, J AM WATER RESOUR AS, V45, P857, DOI 10.1111/j.1752-1688.2009.00329.x
   [潘世兵 Pan Shibing], 2017, [干旱区研究, Arid Zone Research], V34, P383
   Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x
   Qiao M.Y., 2005, Inner Mongolia Water Resources, V1, P12
   Schelfaut K, 2011, ENVIRON SCI POLICY, V14, P825, DOI 10.1016/j.envsci.2011.02.009
   Smith D.L., 2017, ERDC/EL SR 17-3
   Sun X, 2017, J CLEAN PROD, V163, pS329, DOI 10.1016/j.jclepro.2015.09.002
   Uchida K, 2022, J ENVIRON MANAGE, V317, DOI 10.1016/j.jenvman.2022.115467
   van Alphen S, 2020, Adaptive Strategies for Water Heritage, P308, DOI 10.1007/978-3-030-00268-816
   Vis M., 2003, International Journal of River Basin Management, V1, P33, DOI [10.1080/15715124.2003.9635190, DOI 10.1080/15715124.2003.9635190]
   Wang W.J., 2012, Journal of Hydroecology, V33, P142, DOI [10.15928/j.1674-3075.2012.04.020, DOI 10.15928/J.1674-3075.2012.04.020]
   [王小平 Wang Xiaoping], 2017, [生态学报, Acta Ecologica Sinica], V37, P7438
   Wohlfart C, 2017, APPL GEOGR, V85, P73, DOI 10.1016/j.apgeog.2017.06.004
   Wu MD, 2023, WATER-SUI, V15, DOI 10.3390/w15071374
   Wu QH, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37061-3
   Wu YF, 2020, J HYDROL, V587, DOI 10.1016/j.jhydrol.2020.125012
   Wu YW, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128349
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P4561, DOI 10.1007/s11269-018-2069-3
   You QH, 2022, ECOL INDIC, V134, DOI 10.1016/j.ecolind.2021.108468
   [俞孔坚 Yu Kongjian], 2015, [城市规划学刊, Urban Planning Forum], P75
   Yu SY, 2023, HABITAT INT, V136, DOI 10.1016/j.habitatint.2023.102783
   Zeng L, 2011, COMMUN NONLINEAR SCI, V16, P206, DOI 10.1016/j.cnsns.2010.02.019
   Zhang J, 2021, ENVIRON SCI POLLUT R, V28, P31151, DOI 10.1007/s11356-021-12925-7
   Zhang KL, 2023, ENVIRON SCI POLLUT R, V30, P8317, DOI 10.1007/s11356-022-22748-9
   [张灵 Zhang Ling], 2011, [水利学报, Journal of Hydraulic Engineering], V42, P1129
   [张颖 ZHANG Ying], 2011, [水科学进展, Advances in Water Science], V22, P351
   [赵欣胜 Zhao Xinqing], 2005, [环境科学学报, Acta Scientiae Circumstantiae], V25, P567
   Zhou JJ, 2022, ECOL INDIC, V143, DOI 10.1016/j.ecolind.2022.109334
   Zhou L, 2020, J GEOGR SCI, V30, P724, DOI 10.1007/s11442-020-1752-5
NR 67
TC 0
Z9 0
U1 15
U2 24
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD JUN
PY 2024
VL 163
AR 112075
DI 10.1016/j.ecolind.2024.112075
EA APR 2024
PG 16
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA SN0Q8
UT WOS:001235018200001
OA gold
DA 2025-04-22
ER

PT J
AU Yang, GF
   Qu, ZL
   Wang, Y
   Zhou, XT
   Wang, BH
   Lu, YJ
AF Yang, G. F.
   Qu, Z. L.
   Wang, Y.
   Zhou, X. T.
   Wang, B. H.
   Lu, Y. J.
TI HEALTH EVALUATION OF WETLANDS DISTRIBUTED ALONG URBAN-RURAL GRADIENTS
   BASED ON V-IBI
SO APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
LA English
DT Article
DE biodiversity; plant richness; species redundancy; water quality;
   ecosystem resilience
ID VEGETATION-BASED INDEXES; BIOTIC INTEGRITY; MICROCOSMS; STREAMS
AB The expansion of urban areas has led to the encroachment of built-up areas on surrounding wetlands, adversely affecting the health of these ecosystems. Assessing the health status of wetlands becomes imperative for devising targeted policies to mitigate the impact of urbanization. Plant diversity is regarded as critical indicator of their overall health. In this study, three wetlands situated along urban -rural gradients in Hangzhou City were evaluated for ecological health using the vegetation -based index of biotic integrity (V-IBI) method, employing diversity survey data. The results revealed the selection of eight core indicators from a pool of 47 candidates that were used to calculate V-IBI values. This study found a decline in ecological health along the urban -rural gradients. The sampling points in the case wetlands were categorized into four groups based on V-IBI: poor (I), general (II), good (III), and healthy (IV). Progressing from the city center outward, 52.5%, 50%, and 4.8% of samples from Xixi Wetland, Tongjian Lake, and Qingshan Lake, respectively were classified as healthy. A positive linear relationship between plant richness and wetland health, coupled with species redundancy, was observed. Augmenting the number of plant species in wetlands proves conducive to maintaining their health and enhancing resilience against external interference.
C1 [Yang, G. F.; Wang, Y.; Wang, B. H.; Lu, Y. J.] Hangzhou City Univ, Sch Art & Archaeol, Hangzhou 310015, Peoples R China.
   [Qu, Z. L.; Zhou, X. T.] Huadong Engn Corp Ltd, Hangzhou 311122, Peoples R China.
C3 Hangzhou City University
RP Lu, YJ (corresponding author), Hangzhou City Univ, Sch Art & Archaeol, Hangzhou 310015, Peoples R China.
EM Luyijun@hzcu.edu.cn
FU Humanities and Social Sciences Research Project of the Ministry of
   Education [21YJA760040]; Zhejiang Province Philosophy and Social Science
   Planning Project [24JCXK03YB]; Zhejiang Provincial Soft Science Research
   Planning Project [2024C35023]
FX Acknowledgements. This research was funded by the Humanities and Social
   Sciences Research Project of the Ministry of Education, grant number
   21YJA760040; Zhejiang Province Philosophy and Social Science Planning
   Project (24JCXK03YB) ; Zhejiang Provincial Soft Science Research
   Planning Project (No. 2024C35023) .
CR Barbour MT, 1996, J N AM BENTHOL SOC, V15, P185, DOI 10.2307/1467948
   Beck MW, 2010, ECOL INDIC, V10, P968, DOI 10.1016/j.ecolind.2010.02.006
   Behn K, 2018, ECOL INDIC, V89, P250, DOI 10.1016/j.ecolind.2018.02.017
   Borja A, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00020
   Bried JT, 2013, ECOL INDIC, V34, P260, DOI 10.1016/j.ecolind.2013.05.012
   Chang J, 2021, BIOESSAYS, V43, DOI 10.1002/bies.202100041
   Chang J, 2014, ECOL ENG, V64, P108, DOI 10.1016/j.ecoleng.2013.12.046
   Chen Y, 2021, URBAN FOR URBAN GREE, V66, DOI 10.1016/j.ufug.2021.127388
   Chung MG, 2021, NAT SUSTAIN, V4, P1068, DOI 10.1038/s41893-021-00786-4
   Dai XY, 2013, WETL ECOL MANAG, V21, P433, DOI 10.1007/s11273-013-9316-4
   Deberry DA, 2015, ECOL INDIC, V53, P247, DOI 10.1016/j.ecolind.2015.02.003
   DeKeyser E.S., 2003, ECOL INDIC, V3, P119, DOI 10.1016/S1470-160X(03)00015-3
   Du XJ, 2018, LAND USE POLICY, V73, P290, DOI 10.1016/j.landusepol.2018.02.011
   Durigan G, 2022, PERSPECT ECOL CONSER, V20, P185, DOI 10.1016/j.pecon.2022.06.002
   Fang JingYun Fang JingYun, 2009, Biodiversity Science, V17, P533, DOI 10.3724/SP.J.1003.2009.09253
   Fennessy S., 2002, USING VEGETATION ASS
   Fluet-Chouinard E, 2023, NATURE, V614, P281, DOI 10.1038/s41586-022-05572-6
   Gara BD, 2015, ECOL INDIC, V50, P225, DOI 10.1016/j.ecolind.2014.10.029
   Geng Y, 2017, ECOL ENG, V107, P110, DOI 10.1016/j.ecoleng.2017.06.061
   Ghosh K, 2021, ENVIRON DEV, V40, DOI 10.1016/j.envdev.2021.100669
   Guo RZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110910
   Hargiss CLM, 2008, ECOL INDIC, V8, P303, DOI 10.1016/j.ecolind.2007.03.003
   Huang Q, 2015, ECOL INDIC, V48, P649, DOI 10.1016/j.ecolind.2014.09.014
   Huang XY, 2022, WATER-SUI, V14, DOI 10.3390/w14030278
   Jones RC, 2016, ECOL INDIC, V71, P533, DOI 10.1016/j.ecolind.2016.07.030
   KARR JR, 1981, FISHERIES, V6, P21, DOI 10.1577/1548-8446(1981)006<0021:AOBIUF>2.0.CO;2
   Kowarik I, 2023, LANDSCAPE URBAN PLAN, V240, DOI 10.1016/j.landurbplan.2023.104877
   Li ZF, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-75746-7
   Liu DD, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14051082
   Lu YJ, 2024, PEERJ, V12, DOI 10.7717/peerj.16701
   Lv P, 2024, SCI TOTAL ENVIRON, V912, DOI 10.1016/j.scitotenv.2023.169122
   Mack JJ, 2008, AQUAT ECOSYST HEALTH, V11, P91, DOI 10.1080/14634980701880823
   Miller SJ, 2006, ECOL INDIC, V6, P290, DOI 10.1016/j.ecolind.2005.03.011
   Moore MJC, 2012, ECOL INDIC, V13, P196, DOI 10.1016/j.ecolind.2011.06.003
   Pinto SM, 2016, BIOL INVASIONS, V18, P3193, DOI 10.1007/s10530-016-1208-0
   R Core Team, 2023, R LANG ENV STAT COMP
   Shen Qi, 2008, Zhiwu Shengtai Xuebao, V32, P114
   Tomasetto F, 2019, ECOL LETT, V22, P1038, DOI 10.1111/ele.13261
   Wang X, 2020, J ENVIRON MANAGE, V266, DOI 10.1016/j.jenvman.2020.110607
   Wang Y, 2023, ENVIRON RES COMMUN, V5, DOI 10.1088/2515-7620/acbf12
   Wang Y, 2022, GLOB ECOL CONSERV, V34, DOI 10.1016/j.gecco.2022.e02012
   Xi Y, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29616-7
   [杨柳 Yang Liu], 2012, [生态学报, Acta Ecologica Sinica], V32, P3313
   Yang WJ, 2018, ECOL INDIC, V90, P79, DOI 10.1016/j.ecolind.2017.12.056
   Zhai XZ, 2021, WETLANDS, V41, DOI 10.1007/s13157-021-01505-7
   Zhang HY, 2019, ENVIRON SCI POLLUT R, V26, P35240, DOI 10.1007/s11356-019-06655-0
   Zhang Kui, 2021, Acta Ecologica Sinica, V41, P5868
   Zhou JA, 2023, ECOL INDIC, V157, DOI 10.1016/j.ecolind.2023.111280
NR 48
TC 0
Z9 0
U1 11
U2 13
PU ALOKI Applied Ecological Research and Forensic Inst Ltd
PI Budapest
PA Kassa u. 118, Budapest, HUNGARY
SN 1589-1623
EI 1785-0037
J9 APPL ECOL ENV RES
JI Appl. Ecol. Environ. Res.
PY 2024
VL 22
IS 4
BP 3163
EP 3186
DI 10.15666/aeer/2204_31633186
EA JUN 2024
PG 24
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA G3D8I
UT WOS:001259398700001
OA gold
DA 2025-04-22
ER

PT J
AU Winter, PL
   Padgett, PE
   Milburn, LAS
   Li, WM
AF Winter, Patricia L.
   Padgett, Pamela E.
   Milburn, Lee-Anne S.
   Li, Weimin
TI Neighborhood Parks and Recreationists' Exposure to Ozone: A Comparison
   of Disadvantaged and Affluent Communities in Los Angeles, California
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Urban community resilience; Climate change; Ozone; Recreation use;
   Physical activity
ID PHYSICAL-ACTIVITY; URBAN PARKS; AIR-POLLUTION; HEALTH DISPARITIES;
   AVOIDANCE-BEHAVIOR; ECOSYSTEM SERVICES; CLIMATE-CHANGE; GREEN SPACES;
   EXACERBATION; INFORMATION
AB Urban parks are valued for their benefits to ecological and human systems, likely to increase in importance as climate change effects continue to unfold. However, the ability of parks to provide those myriad benefits hinges on equitable provision of and access to green spaces and their environmental quality. A social-ecological approach was adopted in a study of urban park use by recreationists in the City of Los Angeles, contrasting two affluent and two disadvantaged communities situated in coastal and inland zones. Twenty-four days of observations distributed across morning and afternoon time blocks were gathered, with observations in each day drawn from a pair of affluent and disadvantaged community parks. Observers noted location, gender, age, ethnicity/race, and level of physical activity of each visitor encountered during four scheduled observation sweeps on each day of field work. In addition, ozone dose exposure was measured through passive monitoring. Ozone dose exposure was calculated using average hourly ozone in ppb multiplied by METS (metabolic expenditures). Dose exposure was significantly higher in the disadvantaged community parks (with majority Latino use). Findings suggest that additional monitoring in disadvantaged communities, especially inland, may be prudent to facilitate community-based information as well as to assess the degree of potential impact over time. Additionally, mitigative strategies placed in urban parks, such as increased tree canopy may help to reduce the degree of risk and improve community resilience. Future research examining the positive outcomes from physically active use of urban parks may benefit from adopting a nuanced approach in light of the present findings.
C1 [Winter, Patricia L.; Padgett, Pamela E.] US Forest Serv, Pacific Southwest Res Stn, 4955 Canyon Crest Dr, Riverside, CA 92507 USA.
   [Milburn, Lee-Anne S.; Li, Weimin] Calif State Polytech Univ Pomona, ENV, Bldg 3,Room 1005,3801W Temple Ave, Pomona, CA 91768 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; California State University System; California State
   Polytechnic University Pomona
RP Winter, PL (corresponding author), US Forest Serv, Pacific Southwest Res Stn, 4955 Canyon Crest Dr, Riverside, CA 92507 USA.
EM pat.winter@usda.gov
RI Winter, Patricia/U-4507-2019
OI Winter, Patricia/0000-0001-7963-9365
FU California State Polytechnic University, Pomona [PSWRS RJVA
   13-JV-11272131-051]
FX X \This research was conducted jointly by the Pacific Southwest Research
   Station, US Forest Service, and California State Polytechnic University,
   Pomona (PSWRS RJVA 13-JV-11272131-051). Both agencies provided in kind
   support, with the Forest Service providing funding to the university
   through the Joint Venture Agreement. David Olson, Pacific Southwest
   Research Station, US Forest Service (PSWRS) assisted with technical
   support aspects of this study through all phases. David Jones (PSWRS)
   assisted by preparing the Ogawa samplers for field deployment and
   analyzing the field samples in the chemistry lab. Field data were
   gathered by graduate and upper-division students from the California
   State Polytechnic University, Pomona (Cal Poly Pomona), including
   Ernesto Altamarino, Jason Bingham, Paulo Castaneda, Adam Kehoss, Flor
   Mota, Jeremy Munns, Jeff Palmer, and Kristen Misa Sullivan. Field team
   coordination and housing of field materials was provided by Kristopher
   Penrose, also of Cal Poly Pomona. Natasha Nava-Gutierrez and Sandra
   Jimenez, contractors with the US Forest Service aided data entry and
   verification. Kevin Rincon (PSWRS) and Neil Rhodes (volunteer) assisted
   with moving materials and data between the Cal Poly offices and the US
   Forest Service lab. The City of Los Angeles granted access to seven of
   our eight park locations, herein recognized for their valuable
   assistance with special thanks to Louis Loomis. Tree People granted
   field team access to their park (Coldwater Canyon).
CR Ainsworth BE, 2000, MED SCI SPORT EXER, V32, pS498, DOI 10.1097/00005768-200009001-00009
   Alcock I, 2014, ENVIRON SCI TECHNOL, V48, P1247, DOI 10.1021/es403688w
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   [Anonymous], 2008, CLIMATE CHANGE TOURI
   [Anonymous], 2013, BENEFITS URBAN PARKS
   [Anonymous], Climate Change and Your Health: Rising Temperatures, Worsening Ozone Pollution
   [Anonymous], PARKS PARK FUNDING L
   [Anonymous], PSWGTR207 USDA FOR S
   [Anonymous], 2010, A Human Health Perspective on Climate Change: A Report Outlining the Research Needs on the Human Health Effects of Climate Change
   Babey SH, 2008, AM J PREV MED, V34, P345, DOI 10.1016/j.amepre.2008.01.020
   Bedimo-Rung AL, 2005, AM J PREV MED, V28, P159, DOI 10.1016/j.amepre.2004.10.024
   Berman MG, 2008, PSYCHOL SCI, V19, P1207, DOI 10.1111/j.1467-9280.2008.02225.x
   Besenyi GM, 2013, PREV MED, V56, P79, DOI 10.1016/j.ypmed.2012.10.011
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Brown RD, 2015, LANDSCAPE URBAN PLAN, V138, P118, DOI 10.1016/j.landurbplan.2015.02.006
   Chiesura A, 2004, LANDSCAPE URBAN PLAN, V68, P129, DOI 10.1016/j.landurbplan.2003.08.003
   Cohen DA, 2007, AM J PUBLIC HEALTH, V97, P509, DOI 10.2105/AJPH.2005.072447
   Cronan MK, 2008, J PHYS ACT HEALTH, V5, P894, DOI 10.1123/jpah.5.6.894
   Luke C, 2006, ENVIRON INT, V32, P815, DOI 10.1016/j.envint.2006.03.012
   de Vries S, 2003, ENVIRON PLANN A, V35, P1717, DOI 10.1068/a35111
   deFur PL, 2007, ENVIRON HEALTH PERSP, V115, P817, DOI 10.1289/ehp.9332
   Etzel RA, 2003, PEDIATRICS, V112, P233
   Flores GR, 2008, AM J PREV MED, V34, P369, DOI 10.1016/j.amepre.2008.01.015
   Florida R., 2017, NEW URBAN CRISIS OUR
   Floyd MF, 2008, AM J PREV MED, V34, P299, DOI 10.1016/j.amepre.2008.01.009
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Garcia R., 2011, HLTH PARKS SCH COMMU
   García R, 2009, PREV MED, V49, P330, DOI 10.1016/j.ypmed.2009.07.016
   Geyh AS, 2000, ENVIRON HEALTH PERSP, V108, P265, DOI 10.2307/3454444
   Gobster PH, 2002, LEISURE SCI, V24, P143, DOI 10.1080/01490400252900121
   Han B, 2014, PREV MED, V69, pS106, DOI 10.1016/j.ypmed.2014.08.033
   Hansmann Ralf, 2007, Urban Forestry & Urban Greening, V6, P213, DOI 10.1016/j.ufug.2007.08.004
   Harou JJ, 2010, WATER RESOUR RES, V46, DOI 10.1029/2008WR007681
   Hilisdon M, 2006, PUBLIC HEALTH, V120, P1127, DOI 10.1016/j.puhe.2006.10.007
   Jennings V, 2015, INT J ENV RES PUB HE, V12, P1952, DOI 10.3390/ijerph120201952
   Jesdale BM, 2013, ENVIRON HEALTH PERSP, V121, P811, DOI 10.1289/ehp.1205919
   Kimbell AR, 2009, J FOREST, V107, P373
   Kondo MC, 2015, J URBAN HEALTH, V92, P800, DOI 10.1007/s11524-015-9983-y
   Kondo MC, 2014, PROG COMM HLTH PARTN, V8, P291, DOI 10.1353/cpr.2014.0047
   Kondo MC, 2014, HEALTH PLACE, V28, P31, DOI 10.1016/j.healthplace.2014.03.004
   Kuo FE, 1998, ENVIRON BEHAV, V30, P28, DOI 10.1177/0013916598301002
   Levi J, 2012, REPORT TRUST AM HLTH
   Loukaitou-Sideris A, 2010, J AM PLANN ASSOC, V76, P89, DOI 10.1080/01944360903418338
   Markowitz E., 2014, CONNECTING CLIMATE G
   Mitchell R, 2008, LANCET, V372, P1655, DOI 10.1016/S0140-6736(08)61689-X
   Miyake Keith K, 2010, Cities Environ, V3, P1
   Moretti E, 2011, J HUM RESOUR, V46, P154
   Morris D., 2009, Climate change and outdoor recreation resources
   Neidell M, 2009, J HUM RESOUR, V44, P450, DOI 10.1353/jhr.2009.0018
   Niemelä J, 2014, LANDSCAPE URBAN PLAN, V125, P298, DOI 10.1016/j.landurbplan.2013.07.014
   Nowak David J., 2007, Arboriculture & Urban Forestry, V33, P220
   Nowak David J., 2006, Urban Forestry & Urban Greening, V4, P115, DOI 10.1016/j.ufug.2006.01.007
   Nowak DJ, 2011, RESOURCE B US DEP AG, VNRS-47
   Parra-Medina D, 2011, QUEST, V63, P100, DOI 10.1080/00336297.2011.10483668
   Pratt CA, 2008, AM J PREV MED, V34, P366, DOI 10.1016/j.amepre.2008.01.001
   Pretty J, 2007, J ENVIRON PLANN MAN, V50, P211, DOI 10.1080/09640560601156466
   Ruffin J, 2010, AM J PUBLIC HEALTH, V100, pS8, DOI 10.2105/AJPH.2010.191957
   Sallis JF, 2007, AM J PREV MED, V33, pS169, DOI 10.1016/j.amepre.2007.07.011
   Samoli E, 2011, ENVIRON RES, V111, P418, DOI 10.1016/j.envres.2011.01.014
   Sastry N, 2003, RAND LABOR POPULATIO, V03-25
   Shanahan DF, 2016, SCI REP-UK, V6, DOI 10.1038/srep28551
   Shonkoff SB, 2009, CEC5002009038D CAL A
   Shores KA, 2010, PREV MED, V50, pS13, DOI 10.1016/j.ypmed.2009.07.023
   Sister C, 2010, GEOJOURNAL, V75, P229, DOI 10.1007/s10708-009-9303-8
   Snelgrove AG, 2004, HORTTECHNOLOGY, V14, P48, DOI 10.21273/HORTTECH.14.1.0048
   Soga M, 2016, FRONT ECOL ENVIRON, V14, P94, DOI 10.1002/fee.1225
   Su JG, 2011, ENVIRON RES, V111, P319, DOI 10.1016/j.envres.2011.01.002
   Tayyebi A, 2016, SCI TOTAL ENVIRON, V548, P60, DOI 10.1016/j.scitotenv.2016.01.049
   Troy A, 2012, LANDSCAPE URBAN PLAN, V106, P262, DOI 10.1016/j.landurbplan.2012.03.010
   Trust for Public Lands, 2016, PARKSCORE IND LOS AN
   ULRICH RS, 1991, J ENVIRON PSYCHOL, V11, P201, DOI 10.1016/S0272-4944(05)80184-7
   Washington D, 2012, PATIENT EDUC COUNS, V86, P63, DOI 10.1016/j.pec.2011.04.015
   White MP, 2013, PSYCHOL SCI, V24, P920, DOI 10.1177/0956797612464659
   Younger M, 2008, AM J PREV MED, V35, P517, DOI 10.1016/j.amepre.2008.08.017
NR 74
TC 17
Z9 18
U1 6
U2 49
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD MAR
PY 2019
VL 63
IS 3
BP 379
EP 395
DI 10.1007/s00267-019-01140-3
PG 17
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HM4AT
UT WOS:000459416600007
PM 30737526
DA 2025-04-22
ER

PT J
AU Iimi, A
AF Iimi, Atsushi
TI Land Value, and Urban Transport and Amenities: Evidence From
   Antananarivo, Madagascar
SO DEVELOPING ECONOMIES
LA English
DT Article
DE Land price gradient; Spatial autoregressive model; Madagascar
ID CHINA
AB Although urbanization is an engine of growth, many African cities are overly crowded with massive traffic congestion and high housing prices, pushing the poor away to unfavorable settlements or remote suburban areas and making them commute long. The paper sheds light on the relationship between land value and urban attributes in a rapidly growing African city, Antananarivo, Madagascar. It shows that the land value gradient is steep with an elasticity of -0.78 with respect to trip time to the city center. Thus, housing prices are overshooting. Better urban planning is needed through improving transport accessibility by minibus. Other urban infrastructure services, such as piped water and garbage collection, and urban amenities are also important to add to land values. Spatial heterogeneity is found across different locations in the city. While some areas require clean water and climate resilience, others need more city amenities, such as parks.
C1 [Iimi, Atsushi] World Bank Grp, Transport Global Practice, 1818 H St NW, Washington, DC 20433 USA.
C3 The World Bank
RP Iimi, A (corresponding author), World Bank Grp, Transport Global Practice, 1818 H St NW, Washington, DC 20433 USA.
EM aiimi@worldbank.org
CR Acheampong RA, 2022, J TRANSP GEOGR, V98, DOI 10.1016/j.jtrangeo.2021.103257
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Amaral PV, 2014, PAP REG SCI, V93, DOI 10.1111/pirs.12034
   Angel Shlomo., 2016, BLOCKS ROADS, V2
   Asabere SB, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104707
   Atack J, 1998, J REAL ESTATE FINANC, V16, P151, DOI 10.1023/A:1007703701062
   Bashingi N., 2020, Transportation Research Procedia, V45, P434, DOI DOI 10.1016/J.TRPRO.2020.03.036
   Battese GE, 1997, J AGR ECON, V48, P250, DOI 10.1111/j.1477-9552.1997.tb01149.x
   Cai HB, 2013, RAND J ECON, V44, P488, DOI 10.1111/1756-2171.12028
   Campbell KB, 2019, J TRANSP GEOGR, V74, P77, DOI 10.1016/j.jtrangeo.2018.08.002
   Chen Y, 2017, REG SCI URBAN ECON, V66, P213, DOI 10.1016/j.regsciurbeco.2017.07.001
   CLARK DE, 1991, J REGIONAL SCI, V31, P311, DOI 10.1111/j.1467-9787.1991.tb00150.x
   Cutler DM, 2008, REV ECON STAT, V90, P478, DOI 10.1162/rest.90.3.478
   Davis MA, 2009, REG SCI URBAN ECON, V39, P350, DOI 10.1016/j.regsciurbeco.2009.01.002
   Drukker DM, 2013, ECONOMET REV, V32, P686, DOI 10.1080/07474938.2013.741020
   Garnica-Monroy R, 2019, ENVIRON PLAN B-URBAN, V46, P1347, DOI 10.1177/2399808319856629
   Garriga Carlos., 2021, REAL ESTATE INVESTOR
   Gedal M, 2018, REG SCI URBAN ECON, V70, P190, DOI 10.1016/j.regsciurbeco.2018.03.006
   Jaeger WK, 2013, LAND USE POLICY, V30, P966, DOI 10.1016/j.landusepol.2012.02.001
   JICA (Japan International Cooperation Agency), 2019, PROJ MAST PLAN FORM
   Lall S.V., 2017, AFRICAS CITIES OPENI, DOI DOI 10.1596/978-1-4648-1044-2
   Meen G, 1996, HOUSING STUD, V11, P345, DOI 10.1080/02673039608720862
   Orford S, 2000, URBAN STUD, V37, P1643, DOI 10.1080/00420980020080301
   Qin Y, 2016, REG SCI URBAN ECON, V57, P77, DOI 10.1016/j.regsciurbeco.2016.02.002
   Ramiaramanana FN, 2021, WATER-SUI, V13, DOI 10.3390/w13020149
   Rwakarehe Eradius Edward., 2021, TANZANIA J ENG TECHN, V40, P24
   Sethi R, 2004, J POLIT ECON, V112, P1296, DOI 10.1086/424742
   Su YQ, 2019, INT REGIONAL SCI REV, V42, P400, DOI 10.1177/0160017619863476
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Tu Y, 2007, J REAL ESTATE FINANC, V34, P385, DOI 10.1007/s11146-007-9015-0
   Turner MA, 2005, J URBAN ECON, V57, P19, DOI 10.1016/j.jue.2004.08.005
   UNPD (United Nations Population Division), 2018, World urbanization prospects 2018
   Wade E., 2015, Antananarivo, Madagascar
   Weldesilassie AB, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105906
   World Bank, 2017, GREAT ANT URB POV RE
   Zheng S, 2008, J URBAN ECON, V63, P743, DOI 10.1016/j.jue.2007.04.010
NR 36
TC 0
Z9 0
U1 7
U2 9
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0012-1533
EI 1746-1049
J9 DEV ECON
JI Dev. Econ.
PD DEC
PY 2024
VL 62
IS 4
BP 323
EP 354
DI 10.1111/deve.12415
EA JUL 2024
PG 32
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA L6O4W
UT WOS:001272910300001
DA 2025-04-22
ER

PT J
AU Wilk, J
   Jonsson, AC
   Rydhagen, B
   Rani, A
   Kumar, A
AF Wilk, Julie
   Jonsson, Anna C.
   Rydhagen, Birgitta
   Rani, Ashu
   Kumar, Arun
TI The perspectives of the urban poor in climate vulnerability assessments
   - The case of Kota, India
SO URBAN CLIMATE
LA English
DT Article
DE Climate change adaptation; Participatory vulnerability assessments;
   Urban climate resilience; Flood prevention; Urban greening; Heat waves
ID CHANGE ADAPTATION; RESILIENCE; CAPACITY; POVERTY; EXPERIENCES;
   FORMULATION; INDICATORS; MANAGEMENT; CATCHMENT; KNOWLEDGE
AB Kota with a high proportion of slum dwellers and extremely high temperatures is under great demand to assess the vulnerability and adaptive capacity of different groups of its inhabitants to the impacts of climatic variability and change. Participatory workshops with key stakeholdersin urban administration undertook a short vulnerability assessment to gauge current climate adaptation awareness and measures and discuss and decide on a numbered of proposed actions. The city has many policies and disaster management plans in place although implementation and enforcement was often found lacking. The actions were mainly about infrastructure and ecosystems with few related to boosting and transforming agent capabilities and institutions. The action plans outlining the frequency and responsible institutions for tree planting and cleaning streams also lacked detail or identification of lead institutions, departments, or people. Although stakeholders highlighted that local knowledge was not sufficiently used to inform good planning and policies, the action plans did not include community representatives in decision-making rather only in the implementation of the proposed actions. Although when the group identified slum populations as especially vulnerable the focus of the assessment shifted but in action plans representatives of this group were not included in any decision making or planning processes.
C1 [Wilk, Julie; Jonsson, Anna C.] Linkoping Univ, Dept Environm Change, Ctr Climate Sci & Policy Res, Linkoping, Sweden.
   [Jonsson, Anna C.] Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden.
   [Rydhagen, Birgitta] Blekinge Inst Technol, Technosci Studies, Karlskrona, Sweden.
   [Rani, Ashu] Univ Kota, Dept Pure & Appl Chem, Kota, Rajasthan, India.
   [Kumar, Arun] Govt Coll, Dept Math, Kota, India.
C3 Linkoping University; Swedish Meteorological & Hydrological Institute;
   Blekinge Institute Technology; University of Kota
RP Wilk, J (corresponding author), Linkoping Univ, Dept Environm Change, Ctr Climate Sci & Policy Res, Linkoping, Sweden.
EM julie.wilk@liu.se
RI Kumar, Arun/AAR-1082-2021; RANI, ASHU/A-5461-2016
OI KUMAR, ARUN/0000-0001-7128-8804
FU Sarec/Sida [SWE-2010-138]
FX We are grateful to the vulnerability assessment participants who shared
   their insights and knowledge and to Sarec/Sida for funding the project
   SWE-2010-138.
CR ADB Asian Development Bank, 2007, FRAM FIN AGR IND RAJ
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alkan-Olsson J., 2011, INT J AGR SUSTAIN, V9, P379, DOI DOI 10.1080/14735903.2011.582361
   Andersson L, 2013, CLIM DEV, V5, P217, DOI 10.1080/17565529.2013.812955
   Andre K, 2013, THESIS, P579
   [Anonymous], 2016, IND HAB 3 REP
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Dhanapal G., 2014, ECON POLIT WEEKLY, V2627, P32
   DoE Department of Environment, 2010, RAJ STAT ENV POL 201
   Dubash K., 2013, ECON POLIT WEEKLY, VXLVIII, P22
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gangawala S., 2011, WEALTH WELFARE KOTA, P4
   GoR Government of Rajasthan, 2011, RAJ STAT ACT PLAN CL
   Hajat S, 2010, LANCET, V375, P856, DOI 10.1016/S0140-6736(09)61711-6
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Janarayan S., 2007, PERI URBAN WATER CON
   Jonsson A, 2005, AMBIO, V34, P489, DOI 10.1639/0044-7447(2005)034[0489:DAMMFS]2.0.CO;2
   Jonsson AC, 2015, GLOBAL NEST J, V17, P61
   Jonsson AC, 2014, SOC NATUR RESOUR, V27, P265, DOI 10.1080/08941920.2013.861553
   Jonsson AC, 2012, LOCAL ENVIRON, V17, P735, DOI 10.1080/13549839.2012.685880
   Kernaghan S, 2014, URBAN CLIM, V7, P47, DOI 10.1016/j.uclim.2013.10.008
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Moser C, 2010, NEW FRONT SOC POLICY, P231
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Panda A., 2011, INDIA EC REV, V7, P27
   Revi A, 2008, ENVIRON URBAN, V20, P207, DOI 10.1177/0956247808089157
   Sett M, 2014, GLOBAL HEALTH ACTION, V7, DOI 10.3402/gha.v7.21923
   Sharma D., 2013, Asian Cities Climate Resilience Working paper Series, V5
   Sharma D, 2010, ENVIRON URBAN, V22, P451, DOI 10.1177/0956247810377390
   Somanathan E., 2009, Economic and Political Weekly, V44, P51
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P537, DOI 10.1016/j.envsci.2007.01.012
   Tonmoy FN, 2014, WIRES CLIM CHANGE, V5, P775, DOI 10.1002/wcc.314
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Wilk J., 2013, GUIDEBOOK ASSESSMENT
   Wilk J, 2017, WATER POLICY, V19, P620, DOI 10.2166/wp.2017.050
   Yuen E, 2013, MITIG ADAPT STRAT GL, V18, P567, DOI 10.1007/s11027-012-9376-4
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 45
TC 23
Z9 23
U1 5
U2 41
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JUN
PY 2018
VL 24
BP 633
EP 642
DI 10.1016/j.uclim.2017.08.004
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GH1VF
UT WOS:000433190000043
DA 2025-04-22
ER

PT J
AU Anand, A
   Zeng, YJ
   Reckien, D
   Pfeffer, K
AF Anand, Akshay
   Zeng, Yijian
   Reckien, Diana
   Pfeffer, Karin
TI Governance Interactions Concerning Peri-Urban Lake Ecosystems: A
   Systematic Literature Review
SO INTERNATIONAL JOURNAL OF THE COMMONS
LA English
DT Review
DE peri-urban lakes; dominant discourses; governance interactions;
   socio-ecological systems; peri-urban lake ecosystem governance
ID URBAN POLITICAL ECOLOGY; COMMONS; BIODIVERSITY; TRANSFORMATION;
   RESTORATION; RESILIENCE; SERVICES; CITY
AB Peri-urban landscapes are urban-rural interfaces that experience challenges due to dynamic urbanisation and climate change effects. These landscapes are also characterized by overlapping jurisdictions, blurred boundaries, and regulatory slippage, leading to diverse and fragmented interactions of governance actors. This is particularly important in the context of peri-urban lake ecosystems, where conflicting goals between governance actors (state to civil society) often result in socio-ecological transformations of lakes. While existing governance studies provide knowledge on actor interactions in urban areas, there is a need to understand interactions between actors in the peri-urban context. To address this gap, we conduct a systematic review to conceptualize governance interactions between actors concerning the governance of peri-urban lake ecosystems. We identify four dominant discourses and their characteristics that may shape forms of lake ecosystem governance. In doing so, we draw insights from the literature review and present a graphical model to illustrate governance actor interactions, contributing to the transformation of lake ecosystems across spatial and temporal dimensions.
C1 [Anand, Akshay; Zeng, Yijian; Reckien, Diana; Pfeffer, Karin] Univ Twente, Fac Geoinformat Sci & Observat ITC, Enschede, Netherlands.
C3 University of Twente
RP Anand, A (corresponding author), Univ Twente, Fac Geoinformat Sci & Observat ITC, Enschede, Netherlands.
EM a.anand@utwente.nl
RI Pfeffer, Karin/E-1408-2017; zeng, yijian/C-1207-2008; Anand,
   Akshay/AGC-1599-2022; Reckien, Diana/P-7348-2015
OI Anand, Akshay/0000-0003-1416-6549; Reckien, Diana/0000-0002-1145-9509;
   zeng, yijian/0000-0002-2166-5314
CR Ahern J., 2007, CITIES FUTURE INTEGR, P267, DOI 10.2166/9781780405308
   Aziz A, 2023, LAND-BASEL, V12, DOI 10.3390/land12020477
   Bacchin T.K., 2014, P ICUD 2014 13 IAHR, P7
   Bareuther M, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12223843
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Benjamin S, 2000, ENVIRON URBAN, V12, P35, DOI 10.1177/095624780001200104
   Biesbroek R, 2018, REV POLICY RES, V35, P776, DOI 10.1111/ropr.12316
   Bressers H., 2009, Rediscovering Public Law and Public Administration in Comparative Policy Analysis: a Tribute to Peter Knoepfel, V1st
   Bruckmeier K., 2016, Social-Ecological Transformation: Reconnecting Society and Nature, V1st, DOI [10.1057/978-1-137-43828-7, DOI 10.1057/978-1-137-43828-7]
   Bryman A., 2016, Social research methods
   Butsch C, 2021, LAND-BASEL, V10, DOI 10.3390/land10030263
   Butsch C, 2020, WATER-SUI, V12, DOI 10.3390/w12020458
   Carpenter SR, 2007, BIOSCIENCE, V57, P323, DOI 10.1641/B570407
   Carse A, 2012, SOC STUD SCI, V42, P539, DOI 10.1177/0306312712440166
   Cornea N, 2016, INT J URBAN REGIONAL, V40, P395, DOI 10.1111/1468-2427.12377
   Cumming GS, 2020, LANDSCAPE ECOL, V35, P2613, DOI 10.1007/s10980-020-00989-8
   Cumming GS, 2017, ECOSYSTEMS, V20, P649, DOI 10.1007/s10021-016-0089-5
   Dennis M, 2017, ECOSYST SERV, V26, P17, DOI 10.1016/j.ecoser.2017.05.009
   Dennis M, 2016, ECOSYST SERV, V21, P120, DOI 10.1016/j.ecoser.2016.08.003
   Derkzen ML, 2017, ECOL SOC, V22, DOI 10.5751/ES-09168-220151
   Diver S, 2019, INT J COMMONS, V13, P400, DOI 10.18352/ijc.881
   Douglas I., 2006, PERI URBAN INTERFACE, P18
   Douglas I, 2012, CURR OPIN ENV SUST, V4, P385, DOI 10.1016/j.cosust.2012.07.005
   Druschke CG, 2015, ECOL SOC, V20, DOI 10.5751/ES-07451-200158
   Enqvist J, 2014, LANDSCAPE URBAN PLAN, V130, P24, DOI 10.1016/j.landurbplan.2014.06.007
   Enqvist JP, 2020, AMBIO, V49, P49, DOI 10.1007/s13280-019-01163-4
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Follmann A, 2023, REG STUD, V57, P447, DOI 10.1080/00343404.2022.2095365
   Fox H, 2018, ECOL RESTOR, V36, P208, DOI 10.3368/er.36.3.208
   Gabriel N, 2014, GEOGR COMPASS, V8, P38, DOI 10.1111/gec3.12110
   Gaventa J., 2014, Global Citizen Action, V1st, DOI [10.4324/9781315071916, DOI 10.4324/9781315071916]
   Goldman M, 2019, WATER INT, V44, P95, DOI 10.1080/02508060.2019.1578078
   Gunnarsson B, 2017, URBAN ECOSYST, V20, P37, DOI 10.1007/s11252-016-0581-x
   Haas J., 2024, Urban Inequalities from Space: Earth Observation Applications in the Majority World, P259, DOI [10.1007/978-3-031-49183-2_13, DOI 10.1007/978-3-031-49183-2_13]
   Hajer M.A., 2020, ECOLOGICAL MODERNISA, P80, DOI DOI 10.4324/9781003061069-8
   Haldar S, 2024, ECOL PROCESS, V13, DOI 10.1186/s13717-024-00533-5
   Hansen AJ, 2005, ECOL APPL, V15, P1893, DOI 10.1890/05-5221
   Hawken S, 2021, CITIES, V113, DOI 10.1016/j.cities.2020.103068
   Hung Y.-Y., 2011, Landscape Infrastructure, V2nd, P184, DOI [10.1515/9783034611541, DOI 10.1515/9783034611541]
   Ingwani E, 2024, URBAN FORUM, V35, P297, DOI 10.1007/s12132-023-09499-7
   Kaufmann D, 2008, WORLD BANK RES OBSER, V23, P1, DOI 10.1093/wbro/lkm012
   Kjaer Anne Mette, 2010, Governance
   Kooiman J., 2013, Series, V7, P9, DOI [10.1007/978-94-007-6107-02, DOI 10.1007/978-94-007-6107-02]
   Kooiman J., 1993, Modern Governance: New Government-Society Interactions, P35
   Kooiman J., 2005, Fish for Life: Interactive Governance for Fisheries, P11, DOI [10.1017/9789048505326.002, DOI 10.5117/9789053566862, 10.5117/9789053566862]
   Lakshmisha A, 2023, ENVIRON MANAGE, DOI 10.1007/s00267-023-01795-z
   Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001
   Marvin S, 2018, URBAN STUD, V55, P1143, DOI 10.1177/0042098018758909
   McGregor Duncan., 2012, The Peri-Urban Interface: Approaches to Sustainable Natural and Human Resource Use, DOI DOI 10.4324/9781849775878
   Mehmet O., 2024, From Land Disputes to Sustainable Environmental Development: A Near East Perspective, P187, DOI [10.1007/978-3-031-56560-111, DOI 10.1007/978-3-031-56560-111]
   Mitroi V., 2016, Natures Sciences Societes, V24, P203, DOI 10.1051/nss/2016032
   Mitroi V, 2014, IAHS-AISH P, V364, P416
   Moher D Liberati A Tetzlaff J Altman DG Group* P, 2009, ANN INTERN MED, V151, P264, DOI [10.7326/0003-4819-151-4-200908180-00135, DOI 10.7326/0003-4819-151-4-200908180-00135]
   Mundoli S., 2018, Lakes of Bengaluru: the once living, but now endangered peri-urban commons (10; Development), DOI [10.61933/wps.10.2018.3, DOI 10.61933/WPS.10.2018.3]
   Mundoli S, 2015, INT J URBAN SUSTAIN, V7, P89, DOI 10.1080/19463138.2014.982124
   Nagendra H, 2014, ECOL SOC, V19, DOI 10.5751/ES-06582-190267
   Narain V, 2016, GEOFORUM, V68, P21, DOI 10.1016/j.geoforum.2015.11.009
   Ostrom E., 1990, Governing the commons: the evolution of institutions for collective action, P1, DOI [10.1017/CBO9780511807763, DOI 10.1017/CBO9780511807763, 10.2307/3146384, DOI 10.2307/3146384]
   Pahl-Wostl C, 2019, ENVIRON SCI POLICY, V91, P6, DOI 10.1016/j.envsci.2018.10.008
   Partelow S, 2018, ECOL SOC, V23, DOI [10.5751/ES-10594-230436, 10.5751/es-10594-230436]
   Pereira P, 2024, GEOGR SUSTAIN, V5, P491, DOI 10.1016/j.geosus.2024.06.002
   Pratiwi WD, 2022, LANDSCAPE RES, V47, P414, DOI 10.1080/01426397.2022.2043262
   Rajendran LP, 2024, HABITAT INT, V146, DOI 10.1016/j.habitatint.2024.103041
   Ramakrishnan K, 2021, ENVIRON PLAN E-NAT, V4, P674, DOI 10.1177/2514848620979712
   Rathwell KJ, 2015, INT J COMMONS, V9, P851, DOI 10.18352/ijc.584
   Rhodes RAW, 2007, ORGAN STUD, V28, P1243, DOI 10.1177/0170840607076586
   Rhodes RAW, 1996, POLIT STUD-LONDON, V44, P652, DOI 10.1111/j.1467-9248.1996.tb01747.x
   Ribot JC, 2003, RURAL SOCIOL, V68, P153, DOI 10.1111/j.1549-0831.2003.tb00133.x
   Rigolon A, 2021, LANDSCAPE URBAN PLAN, V205, DOI 10.1016/j.landurbplan.2020.103970
   Schlüter M, 2019, ECOL SOC, V24, DOI 10.5751/ES-11012-240311
   Scott W. R., 1994, Institutional Environments and Organizations: Structural complexity and individualism, P137
   Scott WR, 2014, MANAGEMENT, V17, P136, DOI 10.3917/mana.172.0136
   Sen A., 2021, International Journal of Urban Sustainable Development, V13, P17, DOI DOI 10.1080/19463138.2020.1770260
   Sen A, 2021, ECOL RESTOR, V39, P120
   Sen A, 2020, LANDSCAPE URBAN PLAN, V204, DOI 10.1016/j.landurbplan.2020.103933
   Shah A, 2017, ECOL ECON, V135, P280, DOI 10.1016/j.ecolecon.2016.12.017
   Simon D, 2008, ANNU REV ENV RESOUR, V33, P167, DOI 10.1146/annurev.environ.33.021407.093240
   Sitzenfrei R, 2020, WATER-SUI, V12, DOI 10.3390/w12051456
   Stratford C., 2016, ECOLOGICAL RESTORATI, P195
   Sumari NS, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102876
   Swyngedouw E, 2003, ANTIPODE, V35, P898, DOI 10.1111/j.1467-8330.2003.00364.x
   Sylla M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030570
   Tan JD, 2024, PLAN THEOR, V23, P42, DOI 10.1177/14730952231178203
   Ullman EL, 1954, GEOGR REV, V44, P119, DOI 10.2307/211789
   Unnikrishnan H, 2021, URBAN GEOGR, V42, P263, DOI 10.1080/02723638.2019.1709756
   Unnikrishnan H, 2016, INT J COMMONS, V10, P265, DOI 10.18352/ijc.616
   Urbanization beyond Municipal Boundaries, 2013, The World Bank, DOI [10.1596/978-0-8213-9840-1, DOI 10.1596/978-0-8213-9840-1]
   van Dijk TA, 2009, SOCIETY AND DISCOURSE: HOW SOCIAL CONTEXTS INFLUENCE TEXT AND TALK, P1
   Vatn A., 2005, I ENV
   Vince J, 2017, J ENVIRON MANAGE, V201, P138, DOI 10.1016/j.jenvman.2017.06.039
   WILLIAMS D, 1994, POLIT STUD-LONDON, V42, P84, DOI 10.1111/j.1467-9248.1994.tb01675.x
   Zimmer A, 2020, WATER ALTERN, V13, P225
NR 92
TC 0
Z9 0
U1 2
U2 2
PU UBIQUITY PRESS LTD
PI LONDON
PA Unit 3N, 6 Osborn Street, LONDON, E1 6TD, ENGLAND
SN 1875-0281
J9 INT J COMMONS
JI Int. J. Commons
PY 2024
VL 18
IS 1
BP 670
EP 688
DI 10.5334/ijc.1409
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA R2E1O
UT WOS:001389637800004
OA gold
DA 2025-04-22
ER

PT J
AU Hoekstra, AY
   Buurman, J
   van Ginkel, KCH
AF Hoekstra, Arjen Y.
   Buurman, Joost
   van Ginkel, Kees C. H.
TI Urban water security: A review
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE urban water management; sustainability; adaptation; resilience; external
   water dependency
ID INDICATORS; SUSTAINABILITY; MANAGEMENT; CITIES; CHALLENGES; FOOTPRINT;
   PLANET
AB We review the increasing body of research on urban water security. First, we reflect on the four different focusses in water security literature: welfare, equity, sustainability and water-related risks. Second, we make an inventory of the multiple perspectives on urban water security: disciplinary perspectives (e.g. engineering, environmental, public policy, public health), problem-oriented perspectives (e.g. water shortage, flooding, water pollution), goal-oriented perspectives (e.g. better water supply and sanitation, better sewerage and wastewater treatment, safety from flooding, proper urban drainage), integrated-water versus water-integrated perspectives, and policy analytical versus governance perspectives. Third, we take a systems perspective on urban water security, taking the pressure-state-impact-response structure as an analytical framework and link that to the 'urban water transitions framework' as proposed by Brown et al (Water. Sci. Technol. 59 2009). A systems approach can be helpful to comprehend the complexity of the urban system, including its relation with its (global) environment, and better understand the dynamics of urban water security. Finally, we reflect on work done in the area of urban water security indices.
C1 [Hoekstra, Arjen Y.; van Ginkel, Kees C. H.] Univ Twente, Twente Water Ctr, Enschede, Netherlands.
   [Hoekstra, Arjen Y.; Buurman, Joost] Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, Inst Water Policy, Singapore, Singapore.
   [van Ginkel, Kees C. H.] Deltares, Delft, Netherlands.
C3 University of Twente; National University of Singapore; Deltares
RP Hoekstra, AY (corresponding author), Univ Twente, Twente Water Ctr, Enschede, Netherlands.; Hoekstra, AY (corresponding author), Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, Inst Water Policy, Singapore, Singapore.
EM a.y.hoekstra@utwente.nl
RI Buurman, Joost/AAG-1524-2019; Hoekstra, Arjen/B-4980-2008
OI Hoekstra, Arjen/0000-0002-4769-5239; van Ginkel, Kees C.
   H./0000-0002-8162-221X
CR Abidin HZ, 2011, NAT HAZARDS, V59, P1753, DOI 10.1007/s11069-011-9866-9
   ADB, 2016, AS WAT DEV STRENGTH
   Animesh K G, 2016, ENVIRON RES LETT, V11
   [Anonymous], 2000, Towards Water Security: A Framework for Action
   [Anonymous], INCR WAT SEC DEV IMP
   [Anonymous], 1999, ENV INDICATORS TYPOL
   [Anonymous], 2000, WAT SEC WORLD VIS WA
   Arup, 2014, CIT RES IND UND MEAS
   Bakker K, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2013.0116
   Batten J, 2016, Internet
   Berg SV, 2011, WATER POLICY, V13, P591, DOI 10.2166/wp.2011.041
   Biswas AK, 2011, INT J WATER RESOUR D, V27, P5, DOI 10.1080/07900627.2010.547979
   Bogardi JJ, 2012, CURR OPIN ENV SUST, V4, P35, DOI 10.1016/j.cosust.2011.12.002
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   CARSON RT, 1993, WATER RESOUR RES, V29, P2445, DOI 10.1029/93WR00495
   Ching L, 2016, INT J WATER RESOUR D, V32, P637, DOI 10.1080/07900627.2015.1126235
   Cohen R., 2004, Energy Down the Drain, P12
   Cook C, 2012, GLOBAL ENVIRON CHANG, V22, P94, DOI 10.1016/j.gloenvcha.2011.10.011
   Daniell KA, 2015, GLOB ISS WATER POL, V15, P1, DOI 10.1007/978-94-017-9801-3_1
   Di Baldassarre G, 2013, HYDROL EARTH SYST SC, V17, P3295, DOI 10.5194/hess-17-3295-2013
   Dickson SE, 2016, WATER RESOUR MANAG, V30, P1567, DOI 10.1007/s11269-016-1254-5
   Falkenmark M, 2011, INT J WATER RESOUR D, V27, P13, DOI 10.1080/07900627.2010.536943
   Fielding KS, 2013, J ENVIRON MANAGE, V114, P343, DOI 10.1016/j.jenvman.2012.10.027
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Garrick D, 2014, ANNU REV ENV RESOUR, V39, P611, DOI 10.1146/annurev-environ-013012-093817
   Gassert F., 2014, Working paper
   Gersonius B, 2016, NAT HAZARDS, V82, pS201, DOI 10.1007/s11069-015-2015-0
   Goulder LH, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S2010007812500248
   Grafton RQ, 2017, WATER RESOUR MANAG, V31, P3023, DOI 10.1007/s11269-017-1606-9
   Grey D, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0406
   GWSP, 2013, BONN DECL GLOB WAT S
   Hall J, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0407
   Han ZS, 1998, HYDROGEOL J, V6, P416
   Hoekstra Arjen Y., 2011, Setting the Global Standard. Earthscan
   Hoekstra AY, 2000, PHYS CHEM EARTH PT B, V25, P221, DOI 10.1016/S1464-1909(00)00007-1
   Hoff H, 2014, HYDROL EARTH SYST SC, V18, P213, DOI 10.5194/hess-18-213-2014
   Jensen O, 2018, ENVIRON SCI POLICY, V83, P33, DOI 10.1016/j.envsci.2018.02.003
   Johannessen Å, 2017, ECOL SOC, V22, DOI 10.5751/ES-08870-220101
   Kenway SJ, 2011, WATER SCI TECHNOL, V63, P1983, DOI 10.2166/wst.2011.070
   Koop SHA, 2015, WATER RESOUR MANAG, V29, P5649, DOI 10.1007/s11269-015-1139-z
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Lautze J, 2012, NAT RESOUR FORUM, V36, P76, DOI 10.1111/j.1477-8947.2012.01448.x
   Lundqvist J, 2003, PHILOS T R SOC B, V358, P1985, DOI 10.1098/rstb.2003.1382
   McDonald RI, 2014, GLOBAL ENVIRON CHANG, V27, P96, DOI 10.1016/j.gloenvcha.2014.04.022
   McDonald RI, 2011, P NATL ACAD SCI USA, V108, P6312, DOI 10.1073/pnas.1011615108
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Molle F., 2003, Water Policy, V5, P529
   Niemczynowicz J., 1999, Urban Water, V1, P1, DOI 10.1016/S1462-0758(99)00009-6
   OECD, 1993, OECD ENV M, V83
   Padowski JC, 2016, WATER RESOUR MANAG, V30, P4913, DOI 10.1007/s11269-016-1461-0
   Pahl-Wostl C, 2007, INTEGRATED ASSESSMENT OF WATER RESOURCES AND GLOBAL CHANGE, P49, DOI 10.1007/s11269-006-9040-4
   Pahl-Wostl C, 2017, WATER RESOUR MANAG, V31, P2917, DOI 10.1007/s11269-017-1727-1
   Paterson W, 2015, SUSTAINABILITY-BASEL, V7, P8461, DOI 10.3390/su7078461
   Philadelphia Water Department, 2012, GREEN CIT CLEAN WAT
   Plummer R, 2012, WATER RESOUR MANAG, V26, P4327, DOI 10.1007/s11269-012-0147-5
   Rijsberman FR, 2006, AGR WATER MANAGE, V80, P5, DOI 10.1016/j.agwat.2005.07.001
   Sadoff C.W. C.W., 2015, Securing Water, Sustaining Growth: Report of the GWP/OECD Task Force on Water Security and Sustainable Growth
   Schafer Philip Jan., 2013, Human and Water Security in Israel and Jordan
   SDEWES Centre, 2017, SDEWES IND INT CTR S
   Sekovski I, 2012, ESTUAR COAST SHELF S, V96, P48, DOI 10.1016/j.ecss.2011.07.011
   Shrestha E, 2012, ENERG POLICY, V42, P201, DOI 10.1016/j.enpol.2011.11.074
   Sovacool BK, 2009, ENERG POLICY, V37, P2763, DOI 10.1016/j.enpol.2009.03.012
   Tortajada C., 2013, SINGAPORE WATER STOR
   Van Beek E, 2014, TEC Background Papers, V20
   van Leeuwen CJ, 2012, WATER RESOUR MANAG, V26, P2177, DOI 10.1007/s11269-012-0009-1
   van Rensburg P, 2016, INT J WATER RESOUR D, V32, P622, DOI 10.1080/07900627.2015.1129319
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Wada Y, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044571
   Wheater H, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0409
   Zeitoun M, 2016, GLOBAL ENVIRON CHANG, V39, P143, DOI 10.1016/j.gloenvcha.2016.04.010
   Zeitoun M, 2011, GLOB POLICY, V2, P286, DOI 10.1111/j.1758-5899.2011.00097.x
NR 72
TC 204
Z9 225
U1 8
U2 175
PU IOP PUBLISHING LTD
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD MAY
PY 2018
VL 13
IS 5
AR 053002
DI 10.1088/1748-9326/aaba52
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GE8OV
UT WOS:000431491900001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Martin, C
   Kamara, O
   Berzosa, I
   Badiola, JL
AF Martin, Cristina
   Kamara, Oihane
   Berzosa, Iker
   Luis Badiola, Jose
TI Smart GIS platform that facilitates the digitalization of the integrated
   urban drainage system
SO ENVIRONMENTAL MODELLING & SOFTWARE
LA English
DT Article
DE Smart digitalisation; Heterogeneous data sources; Integrated urban
   drainage system; Quantitative risk analysis; Urban flooding
ID WATER-QUALITY; HYDROLOGICAL EXTREMES; VALIDATION; MANAGEMENT
AB Technological advances in the development of tools for modelling and simulating the behaviour and characteristics of urban drainage networks, such as EPA SWMM, represent a great opportunity for managers and infrastructure planners to analyse and evaluate infrastructure resilience against several scenarios. In this sense, the digitalization of existing urban drainage networks becomes an important bottleneck for many small water entities that having the required data, lack the expertise to complete all the preparatory steps before running the simulation. The solution comes hand in hand with developing an appropriate unique tool that enables a seamless integration of heterogeneous data sources and makes simple their comprehension by the implementation of customised and integrated GIS systems that work as a specialist assistant.
C1 [Martin, Cristina; Kamara, Oihane] Univ Deusto, Fac Ingn, DeustoTech, Avda Univ 24, Bilbao 48007, Spain.
   [Berzosa, Iker; Luis Badiola, Jose] Serv Integrados Proc Agua SEIPA, Urgozo 10, Bilbao 48007, Spain.
C3 University of Deusto
RP Martin, C (corresponding author), Univ Deusto, Fac Ingn, DeustoTech, Avda Univ 24, Bilbao 48007, Spain.
EM cristina.andonegui@deusto.es
OI Martin, Cristina/0000-0002-3919-2738
FU Basque Government [00541]; 'Plan for the Promotion of Innovation (2015)'
   of the regional government of Biscay
FX This work has been carried out with the financial support of EstolZAIN
   (Project ID 00541) granted by the Basque Government, and also supported
   by 'Plan for the Promotion of Innovation (2015)' of the regional
   government of Biscay.
CR Achleitner S, 2007, ENVIRON MODELL SOFTW, V22, P1184, DOI 10.1016/j.envsoft.2006.06.013
   Bach PM, 2014, ENVIRON MODELL SOFTW, V54, P88, DOI 10.1016/j.envsoft.2013.12.018
   BECK MB, 1987, WATER RESOUR RES, V23, P1393, DOI 10.1029/WR023i008p01393
   Freni G, 2009, J HYDROL, V373, P392, DOI 10.1016/j.jhydrol.2009.04.037
   Haasnoot M, 2018, GLOBAL ENVIRON CHANG, V52, P273, DOI 10.1016/j.gloenvcha.2018.08.003
   HUBER W, 2001, SWMM STORM WATER MAN
   Kulkarni AT, 2014, COMPUT GEOSCI-UK, V64, P7, DOI 10.1016/j.cageo.2013.11.002
   Lastra A., 2015, P 33 JORN TECN AEAS
   Liu YZ, 2015, SCI TOTAL ENVIRON, V511, P298, DOI 10.1016/j.scitotenv.2014.12.077
   Mannina G, 2010, J HYDROL, V381, P248, DOI 10.1016/j.jhydrol.2009.11.047
   Urich C, 2014, WATER RES, V66, P374, DOI 10.1016/j.watres.2014.08.020
   Vezzaro L, 2014, PROCEDIA ENGINEER, V70, P1707, DOI 10.1016/j.proeng.2014.02.188
   Wallingford Software Ltd, 1995, HYDROWORKS ON LIN DO
   Willems P, 2014, J HYDROL, V510, P591, DOI 10.1016/j.jhydrol.2014.01.028
   Willems P, 2014, J HYDROL, V510, P578, DOI 10.1016/j.jhydrol.2014.01.017
   Yazdi J, 2018, J HYDRO-ENVIRON RES, V21, P76, DOI 10.1016/j.jher.2018.08.002
   Zischg J, 2019, SCI TOTAL ENVIRON, V651, P1709, DOI 10.1016/j.scitotenv.2018.10.061
NR 17
TC 13
Z9 14
U1 6
U2 71
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1364-8152
EI 1873-6726
J9 ENVIRON MODELL SOFTW
JI Environ. Modell. Softw.
PD JAN
PY 2020
VL 123
AR 104568
DI 10.1016/j.envsoft.2019.104568
PG 7
WC Computer Science, Interdisciplinary Applications; Engineering,
   Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Environmental Sciences & Ecology; Water
   Resources
GA JR2ST
UT WOS:000499482000015
DA 2025-04-22
ER

PT J
AU Zhang, YX
   Zhao, WH
   Chen, X
   Jun, C
   Hao, JL
   Tang, XN
   Zhai, J
AF Zhang, Yixin
   Zhao, Weihan
   Chen, Xue
   Jun, Changhyun
   Hao, Jianli
   Tang, Xiaonan
   Zhai, Jun
TI Assessment on the Effectiveness of Urban Stormwater Management
SO WATER
LA English
DT Article
DE Sponge City; residential community; stormwater management model (SWMM);
   Low Impact Development (LID); ecosystem services
ID LOW IMPACT DEVELOPMENT; CLIMATE-CHANGE; SPONGE CITY; URBANIZATION;
   CHALLENGES; RAINFALL; QUALITY; SYSTEMS; WATERS; COST
AB Stormwater management is a key issue in line with global problems of urbanization and climate change. Assessing the effectiveness in managing stormwater is crucial to maintain urban resilience to flooding risk. A method based on a stormwater management model (SWMM) was developed for assessing the control of stormwater runoff volume and the percentage removal of suspended solids by implementing a Sponge City strategy. An interdisciplinary approach was adopted incorporating Low Impact Development (LID) with urban green infrastructure and grey infrastructure paradigms in a typical old residential community in Suzhou, China. Sponge facilities for reducing stormwater runoff included bio-retention cells, permeable pavements, grassed pitches, and stormwater gardens. The simulation results of SWMM show that the stormwater pipe system can meet the management standard for storms with a five-year recurrence interval. The volume capture ratio of annual runoff was 91%, which is higher than control target of 80%. The suspended solids reduction rate was 56%, which meets the requirement of planning indicators. Thus, the proposed method of spongy facilities can be used for renovation planning in old residential areas in China. Implementing spongy facilities with a LID strategy for stormwater management can significantly enhance urban water resilience and improve ecosystem services.
C1 [Zhang, Yixin; Zhai, Jun] Soochow Univ, Dept Landscape Architecture, Suzhou 215123, Peoples R China.
   [Zhao, Weihan] Water Bur Wujiang Dist, 1000 Kaiping Rd, Suzhou 215200, Peoples R China.
   [Chen, Xue] XJTLU Urban & Environm Studies Univ, Res Ctr, Suzhou 215200, Peoples R China.
   [Jun, Changhyun] Chung Ang Univ, Dept Civil & Environm Engn, Seoul 06974, South Korea.
   [Hao, Jianli; Tang, Xiaonan] Xian Jiaotong Liverpool Univ, Dept Civil Engn, Suzhou 215123, Peoples R China.
C3 Soochow University - China; Chung Ang University; Xi'an
   Jiaotong-Liverpool University
RP Zhang, YX (corresponding author), Soochow Univ, Dept Landscape Architecture, Suzhou 215123, Peoples R China.; Chen, X (corresponding author), XJTLU Urban & Environm Studies Univ, Res Ctr, Suzhou 215200, Peoples R China.
EM yixin.zhang2019@suda.edu.cn; 040221215@163.com;
   URC.XueChen@xjtlu.edu.cn; cjun@cau.ac.kr; jianli.hao@xjtlu.edu.cn;
   xiao.tang@xjtlu.edu.cn; info@eastscape.com
RI Hao, Jianli/J-3320-2019; Tang, Xiaonan/JCO-1957-2023; Zhang,
   Yixin/AAG-3575-2021; Jun, Changhyun/JPY-4414-2023
OI Tang, Xiaonan/0000-0002-2434-9341; Jun, Changhyun/0000-0002-9767-9923;
   Zhang, Yixin/0000-0003-1546-4150
FU Natural Science Foundation of Jiangsu Province, China [BK20171238]
FX This research was funded by the Natural Science Foundation of Jiangsu
   Province, China, grant number: BK20171238.
CR Bach PM, 2014, ENVIRON MODELL SOFTW, V54, P88, DOI 10.1016/j.envsoft.2013.12.018
   Bai XM, 2014, NATURE, V509, P158, DOI 10.1038/509158a
   Berndtsson JC, 2010, ECOL ENG, V36, P351, DOI 10.1016/j.ecoleng.2009.12.014
   Brabec E, 2002, J PLAN LIT, V16, P499, DOI 10.1177/088541202400903563
   Carter T, 2007, LANDSCAPE URBAN PLAN, V80, P84, DOI 10.1016/j.landurbplan.2006.06.005
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   [车伍 Che Wu], 2015, [中国给水排水, China Water & Wastewater], V31, P1
   [陈晓燕 Chen Xiaoyan], 2013, [中国给水排水, China Water & Wastewater], V29, P4
   Cheng G., 2016, SIMULATION KEY TECHN
   Cheng YN, 2018, SUSTAIN CITIES SOC, V39, P163, DOI 10.1016/j.scs.2017.09.001
   Davis AP, 2005, ENVIRON SCI TECHNOL, V39, p338A, DOI 10.1021/es053327e
   Dietz ME, 2007, WATER AIR SOIL POLL, V186, P351, DOI 10.1007/s11270-007-9484-z
   Ferguson BC, 2013, GLOBAL ENVIRON CHANG, V23, P264, DOI 10.1016/j.gloenvcha.2012.07.008
   Fletcher TD, 2013, ADV WATER RESOUR, V51, P261, DOI 10.1016/j.advwatres.2012.09.001
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Gallo EL, 2013, HYDROL PROCESS, V27, P995, DOI 10.1002/hyp.9199
   Griffiths J, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0222
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Guo B, 2019, SAFETY SCI, V118, P389, DOI 10.1016/j.ssci.2019.05.038
   Herslund L, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101573
   [侯鹏程 HOU Pengcheng], 2007, [生态环境, Ecology and Environment], V16, P152
   Hou XS, 2020, J HYDROL, V588, DOI 10.1016/j.jhydrol.2020.125055
   Jacobson CR, 2011, J ENVIRON MANAGE, V92, P1438, DOI 10.1016/j.jenvman.2011.01.018
   Jia HF, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0984-9
   Jia HF, 2014, ECOL ENG, V71, P448, DOI 10.1016/j.ecoleng.2014.07.049
   Jia HF, 2013, FRONT ENV SCI ENG, V7, P709, DOI 10.1007/s11783-013-0557-5
   [蒋彬 Jiang Bin], 2016, [中国给水排水, China Water & Wastewater], V32, P70
   Jiang Y.L., 2016, URBAN ROADS BRIDGE F, V8, P149
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Jiang Y, 2017, NAT HAZARDS, V89, P521, DOI 10.1007/s11069-017-2977-1
   Kiefer C.J., 1957, J HYDRAUL DIV, V83, P1, DOI [10.1061/JYCEAJ.0000104, DOI 10.1061/JYCEAJ.0000104]
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Li H, 2017, WATER-SUI, V9, DOI 10.3390/w9090594
   Li Y, 2020, J CLEAN PROD, V257, DOI 10.1016/j.jclepro.2020.120525
   Liang C.Z., 2016, CONSTR SCI TECHNOL, P20, DOI [10.16116/j.cnki.jskj.2016.09.002, DOI 10.16116/J.CNKI.JSKJ.2016.09.002]
   Liang CM, 2020, WATER-SUI, V12, DOI 10.3390/w12041163
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   Lu W., 2018, COAL GEOL CHINA, V30, P51
   Ma XiaoYu Ma XiaoYu, 2012, Research of Environmental Sciences, V25, P95
   Ma YC, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.139078
   Mei C, 2018, SCI TOTAL ENVIRON, V639, P1394, DOI 10.1016/j.scitotenv.2018.05.199
   Ministry of Housing and Urban-Rural Development of the People's Republic of China (MOHURD), 2014, TECHNICAL GUIDELINES
   Mitchell VG, 2006, ENVIRON MANAGE, V37, P589, DOI 10.1007/s00267-004-0252-1
   Mostafavi Moshen., 2010, Ecological Urbanism
   Mottaghi M, 2016, WATER PRACT TECHNOL, V11, P118, DOI 10.2166/wpt.2016.016
   Palla A, 2015, J HYDROL, V528, P361, DOI 10.1016/j.jhydrol.2015.06.050
   Pendergrass AG, 2018, SCIENCE, V360, P1072, DOI 10.1126/science.aat1871
   Prudencio L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa81a
   Pyke C, 2011, LANDSCAPE URBAN PLAN, V103, P166, DOI 10.1016/j.landurbplan.2011.07.006
   Qin HP, 2013, J ENVIRON MANAGE, V129, P577, DOI 10.1016/j.jenvman.2013.08.026
   Roche KR, 2020, P NATL ACAD SCI USA, V117, P1935, DOI 10.1073/pnas.1914829117
   Rossman LA, 2010, Storm Water Management Model Users Manual Version 5.1Manual
   Shen LY, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030844
   Varis O, 2014, APPL GEOGR, V53, P105, DOI 10.1016/j.apgeog.2014.05.012
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   王春华, 2017, [给水排水, Water & Wastewater Engineering], V43, P45
   Wang M, 2016, J HYDROL, V543, P423, DOI 10.1016/j.jhydrol.2016.10.019
   Wu ZJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030787
   Wu ZJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072249
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Xu T, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0934-6
   Yang L, 2013, J HYDROMETEOROL, V14, P1791, DOI 10.1175/JHM-D-12-095.1
   Yang W, 2016, ECOL SOC, V21, DOI 10.5751/ES-08685-210404
   Yu S., 2016, ASCE EWRI Currents, V17, P8
   Zevenbergen C, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0212
   Zhang L.W., 2017, SPONGE CITY CASE STU
   Zhang S., 2012, J BEIJING U CIVIL EN, V28, P45
   Zhang SY, 2018, WATER-SUI, V10, DOI 10.3390/w10060766
   Zhang W, 2018, NATURE, V563, P384, DOI 10.1038/s41586-018-0676-z
   [周毅 Zhou Yi], 2014, [中国给水排水, China Water & Wastewater], V30, P61
NR 70
TC 38
Z9 40
U1 16
U2 159
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JAN
PY 2021
VL 13
IS 1
AR 4
DI 10.3390/w13010004
PG 20
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA PQ2PK
UT WOS:000606391300001
OA gold
DA 2025-04-22
ER

PT J
AU Esperon-Rodriguez, M
   Ordoñez, C
   van Doorn, NS
   Hirons, A
   Messier, C
AF Esperon-Rodriguez, Manuel
   Ordonez, Camilo
   van Doorn, Natalie S.
   Hirons, Andrew
   Messier, Christian
TI Using climate analogues and vulnerability metrics to inform urban tree
   species selection in a changing climate: The case for Canadian cities
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Climate change vulnerability; Climate exposure; Climate risk; Safety
   margin; Urban forest management; Green infrastructure
ID LAND; FRAMEWORK; FOREST; DROUGHT; FUTURE; GROWTH
AB Urban forests provide ecosystem services to more than 4.2 billion people living in cities; however, the provision of these services is threatened by climate change. Cities will experience novel, warmer climates that will impact tree species survival. Here, we present an empirical approach combining the use of climate analogues and vulnerability metrics to guide urban tree species selection. Climate analogues can be used to identify where the current climate in a given location is similar to the projected future climate of another location. Using vulner-ability metrics, tree species in both locations can then be compared and species at risk of future climate change can be identified and substituted with species known to be resilient to climatic changes in the other location. Using Canadian cities as a case study, we show how our approach can become a useful tool to inform species selection and facilitate urban forest decision-making in response to climate change.
C1 [Esperon-Rodriguez, Manuel] Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW 1797, Australia.
   [Ordonez, Camilo] Univ Toronto, Dept Geog Geomat & Environm, Mississauga, ON, Canada.
   [van Doorn, Natalie S.] US Forest Serv, Pacific Southwest Res Stn, USDA, 800 Buchanan St, Albany, CA 94710 USA.
   [Hirons, Andrew] Univ Ctr Myerscough, Preston, Lancs, England.
   [Hirons, Andrew] Univ Lancaster, Lancaster Environm Ctr, Lancaster, England.
   [Messier, Christian] Univ Quebec Outaouais, Inst Sci Foret Temperee, Dept Sci Nat, 58 Rue Principale, Ripon, PQ J0V 1V0, Canada.
   [Messier, Christian] Univ Quebec Montreal, Ctr Etud Foret, CP 8888,Succ Ctr Ville, Montreal, PQ H3C 3P8, Canada.
C3 Western Sydney University; University of Toronto; United States
   Department of Agriculture (USDA); United States Forest Service;
   Lancaster University; University of Quebec; University Quebec Outaouais;
   University of Quebec; University of Quebec Montreal
RP Esperon-Rodriguez, M (corresponding author), Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW 1797, Australia.
EM m.esperon-rodriguez@westernsydney.edu.au
RI Ordóñez, Camilo/AAM-5712-2021; Solomonoff, Natalie/C-3785-2009;
   Esperon-Rodriguez, Manuel/H-3668-2019; Ordonez Barona,
   Camilo/H-8577-2014
OI Ordonez Barona, Camilo/0000-0002-4928-1275; Esperon-Rodriguez,
   Manuel/0000-0003-3649-2134
CR Alavipanah S, 2015, SUSTAINABILITY-BASEL, V7, P4689, DOI 10.3390/su7044689
   Almas AD, 2016, URBAN FOR URBAN GREE, V17, P54, DOI 10.1016/j.ufug.2016.01.015
   [Anonymous], 2012, NUMERICAL ECOLOGY
   Bastin JF, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217592
   Beaumont LJ, 2019, BIOL CONSERV, V237, P230, DOI 10.1016/j.biocon.2019.07.013
   Beniston M, 2014, INT J CLIMATOL, V34, P1838, DOI 10.1002/joc.3804
   Bouguettaya A, 2015, EXPERT SYST APPL, V42, P2785, DOI 10.1016/j.eswa.2014.09.054
   Bourne KS, 2014, URBAN ECOSYST, V17, P329, DOI 10.1007/s11252-013-0317-0
   Brandt L, 2016, ENVIRON SCI POLICY, V66, P393, DOI 10.1016/j.envsci.2016.06.005
   Broadmeadow MSJ, 2005, FORESTRY, V78, P145, DOI 10.1093/forestry/cpi014
   Clarke JM, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P2683
   Clusella-Trullas S, 2021, TRENDS ECOL EVOL, V36, P1000, DOI 10.1016/j.tree.2021.07.001
   Corburn J, 2009, URBAN STUD, V46, P413, DOI 10.1177/0042098008099361
   Esperon-Rodriguez M, 2022, NAT CLIM CHANGE, V12, P950, DOI 10.1038/s41558-022-01465-8
   Esperon-Rodriguez M, 2022, PLANTS PEOPLE PLANET, V4, P201, DOI 10.1002/ppp3.10240
   Esperon-Rodriguez M, 2020, URBAN FOR URBAN GREE, V54, DOI 10.1016/j.ufug.2020.126771
   Fahey Robert T., 2013, Arboriculture & Urban Forestry, V39, P279
   Falster D, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-01006-6
   Foden WB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.551
   Gallagher RV, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44483-x
   Hallegatte S, 2007, CLIMATIC CHANGE, V82, P47, DOI 10.1007/s10584-006-9161-z
   Hanley PA, 2021, SCI TOTAL ENVIRON, V753, DOI 10.1016/j.scitotenv.2020.142012
   Hilbert Deborah R., 2019, Arboriculture & Urban Forestry, V45, P167
   Hirons AD, 2021, PLANTS PEOPLE PLANET, V3, P182, DOI 10.1002/ppp3.10162
   Itani M, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0220355
   Jahani A, 2022, NAT HAZARDS, V110, P881, DOI 10.1007/s11069-021-04972-7
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Kattge J, 2020, GLOBAL CHANGE BIOL, V26, P119, DOI 10.1111/gcb.14904
   Kelso N., 2012, LANDSCAN 1 10 MILLIO
   KIDDER SQ, 1995, J APPL METEOROL, V34, P2440, DOI 10.1175/1520-0450(1995)034<2440:TEOCAW>2.0.CO;2
   Kitudom N, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150416
   Liu ZF, 2014, LANDSCAPE ECOL, V29, P763, DOI 10.1007/s10980-014-0034-y
   McPherson EG, 2018, URBAN FOR URBAN GREE, V29, P28, DOI 10.1016/j.ufug.2017.09.003
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Murtagh F., 2011, arXiv, DOI DOI 10.48550/ARXIV.1111.6285
   O'donnell M.S., 2012, U.S. Geological Survey Data Series, V691, P4, DOI DOI 10.3133/DS691
   Ohlemüller R, 2006, GLOBAL ECOL BIOGEOGR, V15, P395, DOI 10.1111/j.1466-822X.2006.00245.x
   Oksanen G., 2019, Vegan. Community Ecology Package
   Ordóñez C, 2015, CLIMATIC CHANGE, V131, P531, DOI 10.1007/s10584-015-1394-2
   Ossola A, 2020, GLOBAL ECOL BIOGEOGR, V29, P1907, DOI 10.1111/geb.13169
   Paquette A, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127157
   Philip SY, 2021, Earth System Dynamics Discussions
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rohat G, 2018, INT J CLIM CHANG STR, V10, P428, DOI 10.1108/IJCCSM-05-2017-0108
   Savi T, 2015, NEW PHYTOL, V205, P1106, DOI 10.1111/nph.13112
   Sjöman H, 2018, URBAN ECOSYST, V21, P1171, DOI 10.1007/s11252-018-0791-5
   Steenberg JWN, 2019, LANDSCAPE URBAN PLAN, V186, P24, DOI 10.1016/j.landurbplan.2019.02.006
   Steenberg JWN, 2017, ENVIRON REV, V25, P115, DOI 10.1139/er-2016-0022
   Tavsanoglu Ç, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.135
   Walther C, 2019, CLIM RES, V78, P179, DOI 10.3354/cr01567
   Watkins H, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.654618
   Watkins JHR, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126580
   Way DA, 2010, TREE PHYSIOL, V30, P669, DOI 10.1093/treephys/tpq015
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Yan PB, 2018, FORESTS, V9, DOI 10.3390/f9020050
NR 55
TC 17
Z9 19
U1 11
U2 109
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD DEC
PY 2022
VL 228
AR 104578
DI 10.1016/j.landurbplan.2022.104578
EA SEP 2022
PG 6
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA 5L1DZ
UT WOS:000870157700004
OA Bronze
DA 2025-04-22
ER

PT J
AU Lin, BB
   Ossola, A
   Alberti, M
   Andersson, E
   Bai, XM
   Dobbs, C
   Elmqvist, T
   Evans, KL
   Frantzeskaki, N
   Fuller, RA
   Gaston, KJ
   Haase, D
   Jim, CY
   Konijnendijk, C
   Nagendra, H
   Niemelä, J
   McPhearson, T
   Moomaw, WR
   Parnell, S
   Pataki, D
   Ripple, WJ
   Tan, PY
AF Lin, Brenda B.
   Ossola, Alessandro
   Alberti, Marina
   Andersson, Erik
   Bai, Xuemei
   Dobbs, Cynnamon
   Elmqvist, Thomas
   Evans, Karl L.
   Frantzeskaki, Niki
   Fuller, Richard A.
   Gaston, Kevin J.
   Haase, Dagmar
   Jim, Chi Yung
   Konijnendijk, Cecil
   Nagendra, Harini
   Niemela, Jari
   McPhearson, Timon
   Moomaw, William R.
   Parnell, Susan
   Pataki, Diane
   Ripple, William J.
   Tan, Puay Yok
TI Integrating solutions to adapt cities for climate change
SO LANCET PLANETARY HEALTH
LA English
DT Article
ID URBAN; RESILIENCE; ENERGY; WATER; TRANSFORMATIONS; SUSTAINABILITY;
   OPPORTUNITIES; CHALLENGES; MITIGATION; KNOWLEDGE
AB Record climate extremes are reducing urban liveability, compounding inequality, and threatening infrastructure. Adaptation measures that integrate technological, nature-based, and social solutions can provide multiple co-benefits to address complex socioecological issues in cities while increasing resilience to potential impacts. However, there remain many challenges to developing and implementing integrated solutions. In this Viewpoint, we consider the value of integrating across the three solution sets, the challenges and potential enablers for integrating solution sets, and present examples of challenges and adopted solutions in three cities with different urban contexts and climates (Freiburg, Germany; Durban, South Africa; and Singapore). We conclude with a discussion of research directions and provide a road map to identify the actions that enable successful implementation of integrated climate solutions. We highlight the need for more systematic research that targets enabling environments for integration; achieving integrated solutions in different contexts to avoid maladaptation; simultaneously improving liveability, sustainability, and equality; and replicating via transfer and scale-up of local solutions. Cities in systematically disadvantaged countries (sometimes referred to as the Global South) are central to future urban development and must be prioritised. Helping decision makers and communities understand the potential opportunities associated with integrated solutions for climate change will encourage urgent and deliberate strides towards adapting cities to the dynamic climate reality.
C1 [Lin, Brenda B.] CSIRO Land & Water, Brisbane, Qld 4001, Australia.
   [Ossola, Alessandro] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Ossola, Alessandro] Macquarie Univ, Dept Biol Sci, Sydney, NSW, Australia.
   [Ossola, Alessandro] Univ Melbourne, Sch Ecosyst & Forest Sci, Burnley, Vic, Australia.
   [Alberti, Marina] Univ Washington, Dept Urban Design & Planning, Seattle, WA 98195 USA.
   [Andersson, Erik; Elmqvist, Thomas; McPhearson, Timon] Stockholm Resilience Ctr, Stockholm, Sweden.
   [Andersson, Erik] North West Univ, Unit Environm Sci, Potchefstroom, South Africa.
   [Bai, Xuemei] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia.
   [Dobbs, Cynnamon] Univ Mayor, Ctr Modeling & Monitoring Ecosyst, Sch Forest Engn, Fac Sci, Santiago, Chile.
   [Evans, Karl L.] Univ Sheffield, Dept Anim & Plant Sci, Sheffield, S Yorkshire, England.
   [Frantzeskaki, Niki] Swinburne Univ Technol, Ctr Urban Transit, Melbourne, Vic, Australia.
   [Fuller, Richard A.] Univ Queensland, Sch Biol Sci, Brisbane, Qld, Australia.
   [Gaston, Kevin J.] Univ Exeter, Environm & Sustainabil Inst, Penryn, England.
   [Haase, Dagmar] Humboldt Univ, Dept Geog, Berlin, Germany.
   [Haase, Dagmar] UFZ Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Leipzig, Germany.
   [Jim, Chi Yung] Educ Univ Hong Kong, Dept Social Sci, Hong Kong, Peoples R China.
   [Konijnendijk, Cecil] Univ British Columbia, Dept Forest Resources Management, Vancouver, BC, Canada.
   [Nagendra, Harini] Azim Premji Univ, Ctr Climate Change & Sustainabil, Bengaluru, India.
   [Niemela, Jari] Univ Helsinki, Helsinki, Finland.
   [McPhearson, Timon] New Sch, Urban Syst Lab, New York, NY USA.
   [McPhearson, Timon] Cary Inst Ecosyst Studies, Millbrook, NY USA.
   [Moomaw, William R.] Tufts Univ, Medford, MA 02155 USA.
   [Moomaw, William R.] Woodwell Climate Res Ctr, Falmouth, MA USA.
   [Parnell, Susan] Univ Cape Town, African Ctr Cities, Cape Town, South Africa.
   [Parnell, Susan] Univ Bristol, Sch Geog Sci, Bristol, Avon, England.
   [Pataki, Diane] Univ Utah, Sch Biol Sci, Salt Lake City, UT USA.
   [Ripple, William J.] Oregon State Univ, Dept Forest Ecosyst & Soc, Corvallis, OR 97331 USA.
   [Tan, Puay Yok] Natl Univ Singapore, Singapore, Singapore.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of California System; University of California Davis;
   Macquarie University; University of Melbourne; University of Washington;
   University of Washington Seattle; Stockholm University; North West
   University - South Africa; Australian National University; Universidad
   Mayor; University of Sheffield; Swinburne University of Technology;
   University of Queensland; University of Exeter; Humboldt University of
   Berlin; Helmholtz Association; Helmholtz Center for Environmental
   Research (UFZ); Education University of Hong Kong (EdUHK); University of
   British Columbia; Azim Premji Foundation; Azim Premji University
   Bengaluru; University of Helsinki; The New School; Cary Institute of
   Ecosystem Studies; Tufts University; University of Cape Town; University
   of Bristol; Utah System of Higher Education; University of Utah; Oregon
   State University; National University of Singapore
RP Lin, BB (corresponding author), CSIRO Land & Water, Brisbane, Qld 4001, Australia.
EM brenda.lin@csiro.au
RI Frantzeskaki, Niki/AAN-1044-2021; Andersson, Erik/AAE-9771-2019;
   Elmqvist, Thomas/AAY-6344-2021; Konijnendijk, Cecil/AAC-4439-2019; Lin,
   Brenda/A-8834-2011; Nagendra, Harini/P-9087-2019; Pataki,
   Diane/F-9732-2011; Gaston, Kevin/AFK-1483-2022; Jim, CY/O-1025-2019;
   Ripple, William/ABE-9353-2020; Alberti, Marina/JZD-4034-2024; Parnell,
   Susan/Q-9963-2018; Fuller, Richard/B-7971-2008; Ossola,
   Alessandro/D-1262-2012; McPhearson, Timon/JOZ-3799-2023; Tan, Puay
   Yok/AAY-6873-2020; Bai, Xuemei/A-5443-2012
OI Parnell, Susan/0000-0002-5702-1684; Elmqvist,
   Thomas/0000-0002-4617-6197; Fuller, Richard/0000-0001-9468-9678; Pataki,
   Diane/0000-0001-7209-514X; Andersson, Erik/0000-0003-2716-5502; Lin,
   Brenda/0000-0002-6011-9172; Jim, C.Y./0000-0003-4052-8363; Dobbs,
   Cynnamon/0000-0001-9845-6660; Ossola, Alessandro/0000-0002-0507-6026;
   McPhearson, Timon/0000-0002-9499-0791; Tan, Puay
   Yok/0000-0003-0378-590X; Frantzeskaki, Niki/0000-0002-6983-448X;
   alberti, marina/0000-0002-1920-309X; Bai, Xuemei/0000-0001-6556-8041
FU US National Science Foundation [1444755, 1927167, 193493]; CSIRO Land
   Water; CSIRO Julius Career Award; GCRF [ES/P011055/1] Funding Source:
   UKRI
FX TM was supported by the US National Science Foundation through grants
   #1444755, #1927167, and #193493 to participate in the writing of the
   Viewpoint. BBL received funding from CSIRO Land & Water and the Julius
   Career Award. We would like to thank Claudia Tomateo for their
   contributions to the graphics in this Viewpoint.
CR Acuto M, 2018, NAT SUSTAIN, V1, P2, DOI 10.1038/s41893-017-0013-9
   Adelekan I, 2015, INT DEV PLANN REV, V37, P33, DOI 10.3828/idpr.2015.4
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Andersson E, 2019, BIOSCIENCE, V69, P566, DOI 10.1093/biosci/biz058
   [Anonymous], 2014, COMMUNITY ACTION PLA
   Bai XM, 2018, NATURE, V559, P7, DOI 10.1038/d41586-018-05607-x
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Biresselioglu ME, 2018, J CLEAN PROD, V198, P417, DOI 10.1016/j.jclepro.2018.06.308
   Bongaarts J, 2016, NATURE, V530, P409, DOI 10.1038/530409a
   Burley H, 2019, SCI TOTAL ENVIRON, V685, P451, DOI 10.1016/j.scitotenv.2019.05.287
   Byerly H, 2018, FRONT ECOL ENVIRON, V16, P159, DOI 10.1002/fee.1777
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Coates G.J., 2013, Int. J. Des. Nat. Ecodyn, V8, P265, DOI DOI 10.2495/DNE-V8-N4-265-286
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Colding Johan., 2002, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change, P163
   Cooling Singapore, 2017, STRAT COOL SING
   Dhakal S, 2002, ENERG BUILDINGS, V34, P13, DOI 10.1016/S0378-7788(01)00084-6
   Dodman D, 2017, INT J DISAST RISK RE, V26, P7, DOI 10.1016/j.ijdrr.2017.06.029
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Ernstson H, 2010, ECOL SOC, V15
   Ethekwini Municipality, 2019, INT DEV PLAN
   Fischer LK, 2018, ECOSYST SERV, V31, P455, DOI 10.1016/j.ecoser.2018.01.015
   Fontaras G, 2017, PROG ENERG COMBUST, V60, P97, DOI 10.1016/j.pecs.2016.12.004
   Francis LFM, 2017, URBAN FOR URBAN GREE, V28, P167, DOI 10.1016/j.ufug.2017.10.015
   Güneralp B, 2015, GLOBAL ENVIRON CHANG, V31, P217, DOI 10.1016/j.gloenvcha.2015.01.002
   Hesed CDM, 2015, NAT CLIM CHANGE, V5, P683, DOI [10.1038/nclimate2668, 10.1038/NCLIMATE2668]
   Hobbie SE, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0124
   Hoppe Klaus., 2008, CITY FREIBURG GERMAN
   Howarth C, 2017, ENVIRON SCI POLICY, V75, P103, DOI 10.1016/j.envsci.2017.05.019
   Huang KN, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4b71
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Koop SHA, 2017, ENVIRON DEV SUSTAIN, V19, P385, DOI 10.1007/s10668-016-9760-4
   Kramer HA, 2019, INT J WILDLAND FIRE, V28, P641, DOI 10.1071/WF18108
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI DOI 10.1016/J.COSUST.2015.02.004
   Lee H, 2016, LANDSCAPE URBAN PLAN, V148, P37, DOI 10.1016/j.landurbplan.2015.12.004
   Li H, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015023
   Lin BB, 2018, FRONT BUILT ENVIRON, V4, DOI 10.3389/fbuil.2018.00079
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   McPhearson T., 2021, NPJ URBAN SUSTAIN, V1, P5, DOI [10.1038/s42949-021-00017-x, DOI 10.1038/S42949-021-00017-X]
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Mishra V, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024005
   Nagendra H, 2018, NAT SUSTAIN, V1, P341, DOI 10.1038/s41893-018-0101-5
   Newton A, 2012, ESTUAR COAST SHELF S, V96, P39, DOI 10.1016/j.ecss.2011.07.012
   NOAA-The US National Oceanic and Atmospheric Administration, 2019, JUL 2019 WAS HOTT MO
   Ossola A, 2021, ENVIRON SCI POLICY, V123, P151, DOI 10.1016/j.envsci.2021.05.026
   Pancost RD, 2016, NAT GEOSCI, V9, P264, DOI 10.1038/ngeo2690
   Pasquini L, 2020, CLIM DEV, V12, P408, DOI 10.1080/17565529.2019.1632166
   Pauleit S, 2019, URBAN FOR URBAN GREE, V40, P1, DOI 10.1016/j.ufug.2019.04.007
   Pelling M, 2019, NATURE, V569, P327, DOI 10.1038/d41586-019-01497-9
   Potera C, 2017, ENVIRON HEALTH PERSP, V125, DOI 10.1289/EHP2342
   Rathore MM, 2016, COMPUT NETW, V101, P63, DOI 10.1016/j.comnet.2015.12.023
   Roberts D, 2013, ENVIRON URBAN, V25, P299, DOI 10.1177/0956247813500904
   Rowe PG, 2019, CITY BLUE GREEN SING
   Scoones I, 2020, CURR OPIN ENV SUST, V42, P65, DOI 10.1016/j.cosust.2019.12.004
   Scott M, 2016, PLAN THEORY PRACT, V17, P267, DOI 10.1080/14649357.2016.1158907
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Sheppard D.C., 2011, INTERSECT, V4, P67
   Simon D, 2016, POL PRESS SHORT, P1
   Solecki W, 2018, NAT CLIM CHANGE, V8, P177, DOI 10.1038/s41558-018-0101-5
   Sutherland C., 2018, Urban Forum, V29, P333, DOI DOI 10.1007/S12132-018-9353-4
   Sutherland C, 2014, ENVIRON URBAN, V26, P469, DOI 10.1177/0956247814544871
   Thorpe D., 2014, ONE PLANET LIFE BLUE
   United Nations Department of Economic and Social Affairs Population Division, 2018, STESASERA420 UN POP
   Ürge-Vorsatz D, 2018, NAT CLIM CHANGE, V8, P174, DOI 10.1038/s41558-018-0100-6
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   Westerhoff L, 2018, ENERGY RES SOC SCI, V46, P368, DOI 10.1016/j.erss.2018.07.022
   Wigginton NS, 2016, SCIENCE, V352, P904, DOI 10.1126/science.352.6288.904
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Yahia MW, 2018, INT J BIOMETEOROL, V62, P373, DOI 10.1007/s00484-017-1380-7
NR 71
TC 74
Z9 74
U1 11
U2 99
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
EI 2542-5196
J9 LANCET PLANET HEALTH
JI Lancet Planet. Health
PD JUL
PY 2021
VL 5
IS 7
BP E479
EP E486
PG 8
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA TM2SV
UT WOS:000675402600013
PM 34245718
OA Green Published, Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Ahmed, ST
   Kumar, VV
   Kim, J
AF Ahmed, Syed Thouheed
   Kumar, V. Vinoth
   Kim, Jungyoon
TI AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource
   Recommendation Framework for IoT Devices in Smart Cities
SO IEEE INTERNET OF THINGS JOURNAL
LA English
DT Article
DE Telemedicine; Internet of Things; Resource management; Ecosystems;
   Reliability; Medical diagnostic imaging; Smart cities; Augmented
   intelligence (AuI); eHealth; remote medicine; resource recommendations;
   smart enterprise management system (EMS); telemedicine
ID INTERNET
AB Telemedicine was introduced on connected IoT-based resource networking infrastructure. With technological evolution and artificial intelligence, the framework has expanded the grips beyond connecting remote patients. Augmented intelligence (AuI) adds value to the current telemedicine framework by coordinating with resource management pools of IoT devices and communication channels to provide a reliable enterprise ecosystem of smart cities. In this article, a novel approach for resource recommendation in telemedicine via AuI and IoT is proposed. The framework acquires data from the existing eHealth infrastructure of smart cities and telemedicine environment of IoT to provide an intelligent recommendation based on telemedicine services. The proposed framework is based on a smart enterprise management system (EMS) for eHealth services. The proposed augmented intelligent telemedicine (AITel) framework postulates the 94.83% accuracy from AuI-assisted telemedicine and would create a reliable ecosystem on resource recommendations to build a resilient healthcare system for remote patients, communities, and healthcare infrastructure.
C1 [Ahmed, Syed Thouheed] Reva Univ, Sch Comp & Informat Technol, Bengaluru 560064, India.
   [Kumar, V. Vinoth] Vellore Inst Technol Deemed Be Univ, Sch Informat Technol & Engn, Vellore 632014, India.
   [Kim, Jungyoon] Gachon Univ, Dept Game Media, Coll Future Ind, Seongnam 461701, Gyeonggi, South Korea.
C3 REVA University; Vellore Institute of Technology (VIT); VIT Vellore;
   Gachon University
RP Kim, J (corresponding author), Gachon Univ, Dept Game Media, Coll Future Ind, Seongnam 461701, Gyeonggi, South Korea.
EM syed.edu.in@gmail.com; pvkumar243@gmail.com; yoonkimj09@gmail.com
RI Ahmed, Syed Thouheed/A-7315-2019
OI Ahmed, Syed Thouheed/0000-0002-2884-899X; Hamdy,
   Abeer/0000-0002-0208-3722
FU National Research Foundation of Korea (NRF)
FX This work was supported by the Basic Science Research Program through
   the National ResearchFoundation of Korea (NRF).
CR Ahmed ST, 2022, COMPUT ELECTR ENG, V102, DOI 10.1016/j.compeleceng.2022.108210
   Ahmed ST, 2020, WIRELESS PERS COMMUN, V112, P1061, DOI 10.1007/s11277-020-07091-x
   Ahmed ST, 2019, J MED SYST, V43, DOI 10.1007/s10916-019-1392-4
   Alajmi D, 2013, STUD HEALTH TECHNOL, V190, P118, DOI 10.3233/978-1-61499-276-9-118
   Baker J, 2018, CURR ALLERGY ASTHM R, V18, DOI 10.1007/s11882-018-0814-6
   Chau PYK, 2001, DECISION SCI, V32, P699, DOI 10.1111/j.1540-5915.2001.tb00978.x
   Daniel H, 2015, ANN INTERN MED, V163, P787, DOI 10.7326/M15-0498
   Dodoo JE, 2021, INT J MED INFORM, V151, DOI 10.1016/j.ijmedinf.2021.104467
   Ji H, 2016, Adv Inform Managemen, P1581, DOI 10.1109/IMCEC.2016.7867484
   Kim J, 2009, 2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2, P1291, DOI 10.1109/NISS.2009.242
   Lee E, 2021, IEEE COMMUN SURV TUT, V23, P1020, DOI 10.1109/COMST.2021.3067354
   Mihalj M, 2020, BEST PRAC RES-CL ANA, V34, P345, DOI 10.1016/j.bpa.2020.05.001
   Mishra SK, 2009, TELEMED J E-HEALTH, V15, P568, DOI 10.1089/tmj.2009.0059
   PEREDNIA DA, 1995, JAMA-J AM MED ASSOC, V273, P483, DOI 10.1001/jama.273.6.483
   Qian Y, 2019, IEEE NETWORK, V33, P4, DOI 10.1109/mnet.2019.8675165
   Xiong X, 2020, IEEE J SEL AREA COMM, V38, P1133, DOI 10.1109/JSAC.2020.2986615
NR 16
TC 36
Z9 36
U1 4
U2 12
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 2327-4662
J9 IEEE INTERNET THINGS
JI IEEE Internet Things J.
PD NOV 1
PY 2023
VL 10
IS 21
BP 18461
EP 18468
DI 10.1109/JIOT.2023.3243784
PG 8
WC Computer Science, Information Systems; Engineering, Electrical &
   Electronic; Telecommunications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Telecommunications
GA X4IR3
UT WOS:001098109800003
DA 2025-04-22
ER

PT J
AU Giri, M
   Bista, G
   Singh, PK
   Pandey, R
AF Giri, Monika
   Bista, Ganga
   Singh, Pramod K.
   Pandey, Rajiv
TI Climate change vulnerability assessment of urban informal settlers in
   Nepal, a least developed country
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Adaptive capacity; Marginalized community; Slum; Resilience; Urban poor;
   Urban planning
ID CHANGE ADAPTATION; IMPACTS
AB Urban poor with limited resources and residing in precarious informal settlements are often one of the most vulnerable populations to climate variability and change. The present study seeks to assess the vulnerability of informal settlers to climate variability and change. Drawing from natural hazards, politico-economic, and ecological resilience strands of vulnerability literature we developed an integrated set of indicators for vulnerability assessment. The vulnerability of informal settlement dwellers was assessed in the hilly district of Kathmandu and the plain regions of the Nawalpur district of Nepal by collecting primary data from 300 randomly selected households, 150 from each district. Communities living in informal settlements experienced higher exposure to climate risk with lower adaptive capacity. Informal settlements with scarce resources, depilated infrastructure, fewer livelihood opportunities and knowledge gaps pose considerable vulnerability to climate variability and change. Our findings reveal that the inhabitants of informal settlements in the plain region are more vulnerable than that of the informal settlements of the hilly region due to higher exposure and sensitivity and lower adaptive capacities of the informal settlers of the plains. Enabling factors such as livelihood diversification, improved infrastructure, health facilities, social capitals, and support from local government with contextual policies and interventions, can facilitate better adaptation among the informal settlers and make them resilient to climate variability and change.
C1 [Giri, Monika; Bista, Ganga] Forest Res Inst, Dehra Dun, Uttarakhand, India.
   [Singh, Pramod K.] Inst Rural Management Anand IRMA, Anand, Gujarat, India.
   [Pandey, Rajiv] Indian Council Forestry Res & Educ, Dehra Dun, Uttarakhand, India.
C3 Indian Council of Forestry Research & Education (ICFRE); Forest Research
   Institute (FRI); Institute of Rural Management Anand; Indian Council of
   Forestry Research & Education (ICFRE)
RP Pandey, R (corresponding author), Indian Council Forestry Res & Educ, Dehra Dun, Uttarakhand, India.
EM monikagiri.mg@gmail.com; bgnga2014@gmail.com; pramod@irma.ac.in;
   rajivrsgis@gmail.com
RI Giri, Monika/LMN-2410-2024; , Rajiv/N-9631-2019; Singh,
   Pramod/AAS-1648-2021
OI Singh, Pramod K/0000-0003-2212-0583; Giri, Monika/0009-0000-9269-8239;
   Pandey, Rajiv/0000-0003-4849-775X
CR Alcayna-Stevens T., 2015, SLUM SOCIO ECOLOGY E
   [Anonymous], 2012, RESILIENCE NEW UTOPI
   [Anonymous], 2012, IDS WORK PAP, P1
   Arneth A, 2019, Summary for Policymakers Climate Change 2013: The Physical Science Basis
   Bakrania S, 2015, 1322 GSDRC U BIRM
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bartlett S., 2009, 5 URB RES S CIT CLIM
   Bernstein L., 2007, Climate Change 2007: Synthesis report. Contribution of working groups I, II and III to the fourth assessment report of the Intergovernmental Panel on climate change, P104
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Das M, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106815
   Davis Mike., 2007, PLANET SLUMS
   Deshpande T, 2019, LOCAL ENVIRON, V24, P167, DOI 10.1080/13549839.2018.1555578
   Dodman D., 2015, UNDERSTANDING ASSESS
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Gencer E.A., 2008, NATURAL DISASTERS VU
   Gerlitz JY, 2017, CLIM DEV, V9, P124, DOI 10.1080/17565529.2016.1145099
   Gioli G, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P421, DOI 10.1007/978-3-319-92288-1_12
   Giri M., 2015, EFFECTS CLIMATE CHAN
   Gupta AK, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105512
   IYENGAR NS, 1982, ECON POLIT WEEKLY, V17, P2047
   Karki S, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1720555
   Mitchell D, 2015, LAND USE POLICY, V48, P190, DOI 10.1016/j.landusepol.2015.05.026
   Moench M, 2017, CLIM DEV, V9, P22, DOI 10.1080/17565529.2015.1067592
   Moser C, 2011, ENVIRON URBAN, V23, P463, DOI 10.1177/0956247811418739
   Moser Caroline., 2010, Pro-Poor Adaptation to Climate Change in Urban Centers: Case Studies of Vulnerability and Resilience in Kenya and Nicaragua
   MoUD, 2015, NAT URB DEV STRAT 20
   Omerkhil N., ECOL INDICAT, V11, P06781
   Omerkhil N, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105863
   Pandey R., 2009, Indian Forester, V135, P436
   Pandey R, 2018, ECOL INDIC, V90, P379, DOI 10.1016/j.ecolind.2018.03.031
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Pandey R, 2016, J MT SCI-ENGL, V13, P1503, DOI 10.1007/s11629-015-3499-5
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Pant P.R., 2009, PREPARED GOVERNANCE
   Papageorgiou K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0233984
   Poudel S, 2020, ENVIRON DEV SUSTAIN, V22, P8159, DOI 10.1007/s10668-019-00566-3
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Sclar ED, 2005, LANCET, V365, P901, DOI 10.1016/S0140-6736(05)71049-7
   Sekhri S, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106700
   Shrestha AB, 2011, REG ENVIRON CHANGE, V11, pS65, DOI 10.1007/s10113-010-0174-9
   Singh PK, 2021, J CLEAN PROD, V284, DOI 10.1016/j.jclepro.2020.124744
   Singh PK, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236655
   Singh PK, 2017, CLIMATIC CHANGE, V143, P337, DOI 10.1007/s10584-017-2007-z
   Tacoli C., 2013, BRIEFING PAPERS IIED
   Thapa RB, 2010, APPL GEOGR, V30, P70, DOI 10.1016/j.apgeog.2009.10.002
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   UNUN-DESA (United Nations Department of Economic and Social Affairs), 2019, WORLD URB PROSP 2018
   Wekesa BW, 2011, HABITAT INT, V35, P238, DOI 10.1016/j.habitatint.2010.09.006
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Xu G, 2019, SCI TOTAL ENVIRON, V660, P375, DOI 10.1016/j.scitotenv.2019.01.039
   Xu G, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7050062
NR 52
TC 53
Z9 55
U1 4
U2 29
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD JUL 20
PY 2021
VL 307
AR 127213
DI 10.1016/j.jclepro.2021.127213
EA MAY 2021
PG 13
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA SQ3IB
UT WOS:000660247900009
DA 2025-04-22
ER

PT J
AU Fantini, A
AF Fantini, Andrea
TI Urban and peri-urban agriculture as a strategy for creating more
   sustainable and resilient urban food systems and facing
   socio-environmental emergencies
SO AGROECOLOGY AND SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE Sustainable food systems; urban and peri-urban agriculture; agroecology;
   food justice; climate change adaptation
ID NEW-YORK; ECOSYSTEM SERVICES; COMMUNITY GARDENS; WASTE MANAGEMENT; PLANT
   DIVERSITY; CLIMATE-CHANGE; HEALTH; SOILS; PHYTOREMEDIATION; BARCELONA
AB Urban and peri-urban agriculture (UPA) is one of the most interesting phenomena of land management and transformation in recent decades. Thanks to its multiple functions, it can become an effective strategy to create more sustainable and resilient cities and food systems as well as to cope with global emergencies such as climate change, ecological degradation, food insecurity and economic crises. This paper analyzes the various functions of urban and peri-urban agriculture, the ways in which these functions connect and feed each other, the obstacles to its large-scale implementation, and the important role that it may have in the transition to an alternative economic and social paradigm.
C1 [Fantini, Andrea] Autonomous Univ Barcelona, Dept Geog, Barcelona, Spain.
C3 Autonomous University of Barcelona
RP Fantini, A (corresponding author), Autonomous Univ Barcelona, Dept Geog, Barcelona, Spain.
EM fantini.andrea78@gmail.com
RI Fantini, Andreaf/JBJ-6132-2023
CR Agnoletti M, 2015, BIODIVERS CONSERV, V24, P3155, DOI 10.1007/s10531-015-1003-8
   Altieri M., 1999, AGROECOLOGIA, Bases cientificas para una agricultura sustentable
   Altieri MA., 2016, DEVELOPING PROMOTING
   Altieri MA, 2011, J PEASANT STUD, V38, P587, DOI 10.1080/03066150.2011.582947
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   Anguelovski I., 2018, City, V22, P417, DOI [10.1080/13604813.2018.1473126, DOI 10.1080/13604813.2018.1473126]
   Anguelovski I, 2013, CITY COMMUNITY, V12, P211, DOI 10.1111/cico.12026
   [Anonymous], 2019, FAOSTAT
   [Anonymous], 2015, Urban Sustainability Issues-What Is a Resource-Efficient City?
   Antisari LV, 2015, AGRON SUSTAIN DEV, V35, P1139, DOI 10.1007/s13593-015-0308-z
   Armstrong D, 2000, HEALTH PLACE, V6, P319, DOI 10.1016/S1353-8292(00)00013-7
   Austruy A, 2014, J SOIL SEDIMENT, V14, P666, DOI 10.1007/s11368-014-0862-z
   Azunre GA, 2019, CITIES, V93, P104, DOI 10.1016/j.cities.2019.04.006
   Baker PJ, 2007, MAMMAL REV, V37, P297, DOI 10.1111/j.1365-2907.2007.00102.x
   Bello W, 2009, MON REV, V61, P17
   Boillat S, 2012, FUTURES, V44, P600, DOI 10.1016/j.futures.2012.03.021
   Brown KH, 2000, J PUBLIC HEALTH POL, V21, P20, DOI 10.2307/3343472
   Brunori G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050449
   Cabannes Y., 2013, City, V17, P235, DOI DOI 10.1080/13604813.2013.765652
   Calvet-Mir L, 2019, EUR URBAN REG STUD, V26, P97, DOI 10.1177/0969776417736098
   Campbell BM, 2017, ECOL SOC, V22, DOI 10.5751/ES-09595-220408
   Campisano A, 2017, URBAN WATER J, V14, P883, DOI 10.1080/1573062X.2017.1279192
   Camps-Calvet M, 2016, ENVIRON SCI POLICY, V62, P14, DOI 10.1016/j.envsci.2016.01.007
   Carey R., 2018, FEEDING CITIES 21 CE
   Cerrada Serra P., 2019, SISTEMA ALIMENTARIO, DOI [10.4995/Thesis/10251/123056, DOI 10.4995/THESIS/10251/123056]
   Churkina G, 2016, FRONT ECOL EVOL, V3, DOI 10.3389/fevo.2015.00144
   Cohen N, 2015, RENEW AGR FOOD SYST, V30, P103, DOI 10.1017/S1742170514000210
   Conforti P, 1997, AGR ECOSYST ENVIRON, V65, P231, DOI 10.1016/S0167-8809(97)00048-0
   Couth R, 2010, WASTE MANAGE, V30, P2336, DOI 10.1016/j.wasman.2010.04.013
   Cristaldi A, 2017, ENVIRON TECHNOL INNO, V8, P309, DOI 10.1016/j.eti.2017.08.002
   CUNNINGHAM SD, 1995, TRENDS BIOTECHNOL, V13, P393, DOI 10.1016/S0167-7799(00)88987-8
   de Sartre XA, 2019, ECOL SOC, V24, DOI 10.5751/ES-10711-240202
   Doggart N, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6b35
   Dubbeling M., 2019, J FIELD ACTIONS
   Dubbeling M, 2009, OPEN HOUSE INT, V34, P36
   Ebenso B, 2022, FRONT NUTR, V9, DOI 10.3389/fnut.2022.773746
   EEA, 2019, LAND TAK EUR
   Ernwein M, 2017, ACME, V16, P249
   Evans DL, 2022, ECOSYST SERV, V54, DOI 10.1016/j.ecoser.2022.101405
   FANTINI A., 2016, Cultivando ciudades. La agricultura urbana y periurbana como practica de transformacion territorial, economica, social y politica
   FAO, 2014, An FAO report on urban and peri-urban agriculture in the region
   Friedrich E, 2011, WASTE MANAGE, V31, P1585, DOI 10.1016/j.wasman.2011.02.028
   Funes-Monzote F. R., 2009, Environment Development and Sustainability, V11, P765, DOI 10.1007/s10668-008-9142-7
   Giacche G, 2014, ESO TRAVAUX DOCUMENT, V37
   Giampietro M, 1997, AGR ECOSYST ENVIRON, V65, P201, DOI 10.1016/S0167-8809(97)00050-9
   Gliessman StephenR., 2006, Agroecology: The Ecology of Sustainable Food Systems, VSecond
   Goldstein BP, 2017, ENVIRON SCI TECHNOL, V51, P7340, DOI 10.1021/acs.est.7b01011
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Gonzalez Marianne Thorsen, 2009, Res Theory Nurs Pract, V23, P312
   Halaj J, 2000, OIKOS, V90, P139, DOI 10.1034/j.1600-0706.2000.900114.x
   Hammelman C, 2022, AGR HUM VALUES, V39, P371, DOI 10.1007/s10460-021-10253-7
   Harvey D, 2003, INT J URBAN REGIONAL, V27, P939, DOI 10.1111/j.0309-1317.2003.00492.x
   Harvey David., 2012, From the Right to the City to the Urban Revolution, DOI DOI 10.4324/9780203118597
   Hermi Zaar M, 2011, AGRICULTURA URBANA A
   Horst M, 2017, J AM PLANN ASSOC, V83, P277, DOI 10.1080/01944363.2017.1322914
   Hursthouse A.S., 2016, ENV PRESSURES STATUS, P164
   Huttner S., 2009, 7 INT C URBAN CLIMAT
   Isbell F, 2017, J ECOL, V105, P871, DOI 10.1111/1365-2745.12789
   Koont S, 2009, MON REV, V60, P44, DOI 10.14452/MR-060-08-2009-01_5
   Koont Sinan., 2011, SUSTAINABLE URBAN AG
   Langemeyer J, 2016, URBAN ALLOTMENT GARDENS IN EUROPE, P115
   Lefebvre H, 2017, RIGHT CITY
   Lone MI, 2008, J ZHEJIANG UNIV-SC B, V9, P210, DOI 10.1631/jzus.B0710633
   Longato D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072101
   Lovell S. T., 2010, Sustainability, V2, P2499, DOI 10.3390/su2082499
   Lupia F, 2017, AGRICULTURE-BASEL, V7, DOI 10.3390/agriculture7060046
   Lwasa S, 2014, URBAN CLIM, V7, P92, DOI 10.1016/j.uclim.2013.10.007
   Lynch J, 2021, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.518039
   Maeda EE, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2023787118
   McClintock N, 2018, ROUT INT HANDB, P361
   McClintock N, 2013, LANDSCAPE URBAN PLAN, V111, P46, DOI 10.1016/j.landurbplan.2012.12.009
   Meenar MR, 2012, J AGRIC FOOD SYST CO, V3, P143, DOI 10.5304/jafscd.2012.031.013
   Mendelsohn R., 2009, Journal of Natural Resources Policy Research, V1, P5, DOI [10.1080/19390450802495882, DOI 10.1080/19390450802495882]
   Migliorini P, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082724
   Minarro M.S, 2014, PAPELES RELACIONES E, V124, P135
   Miralles i Garcia J. L., 2018, International Journal of Design and Nature and Ecodynamics, V13, P361, DOI 10.2495/dne-v13-n4-361-372
   Mitchell RG, 2014, ENVIRON POLLUT, V187, P162, DOI 10.1016/j.envpol.2014.01.007
   Molina M.G., 2013, AGROECOLOGIA, V8, P35
   Mougeot Luc., 2006, GROWING BETTER CITIE
   Orsini F, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.562513
   Orsini F, 2013, AGRON SUSTAIN DEV, V33, P695, DOI 10.1007/s13593-013-0143-z
   Oteros-Rozas E, 2019, P NATL ACAD SCI USA, V116, P26465, DOI 10.1073/pnas.1912710116
   Park SH, 2009, HORTSCIENCE, V44, P102, DOI 10.21273/HORTSCI.44.1.102
   Park SH, 2004, ACTA HORTIC, P241, DOI 10.17660/ActaHortic.2004.639.31
   Paül V, 2013, LAND USE POLICY, V30, P94, DOI 10.1016/j.landusepol.2012.02.009
   Pengue W., 2018, TEEB for Agriculture Food: Scientific and Economic Foundations, P57
   Pourias J, 2014, J AGRIC FOOD SYST CO, V5, P175, DOI 10.5304/jafscd.2015.052.005
   Pratama IP, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810044
   Puigdueta I, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2021.100507
   Purcell M, 2015, LOCAL ENVIRON, V20, P1132, DOI 10.1080/13549839.2014.903236
   Rivera-Ferre MG, 2008, EMBO REP, V9, P1061, DOI 10.1038/embor.2008.196
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rosan CD, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00074
   Rosan ChristinaPearsall., 2017, GROWING SUSTAINABLE
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Rosset PM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05000-170317
   Saldivar-Tanaka L, 2004, AGR HUM VALUES, V21, P399, DOI 10.1023/B:AHUM.0000047207.57128.a5
   Sanye Mengual E., 2018, PLOS ONE, V13
   Sarabia N, 2021, J CLEAN PROD, V325, DOI 10.1016/j.jclepro.2021.129228
   Satterthwaite D, 2008, ENVIRON URBAN, V20, P539, DOI 10.1177/0956247808096127
   Shaw HJ, 2006, GEOGR ANN B, V88B, P231, DOI 10.1111/j.0435-3684.2006.00217.x
   Shrestha P, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0230996
   Siegner A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10092988
   Song BJ, 2020, GEOGR COMPASS, V14, DOI 10.1111/gec3.12538
   Sperling Corinne D., 2010, Urban Ecosystems, V13, P223, DOI 10.1007/s11252-009-0114-y
   Sugimoto M., 2006, J THERAPEUTICAL HORT, V16, P20
   Teig E, 2009, HEALTH PLACE, V15, P1115, DOI 10.1016/j.healthplace.2009.06.003
   Tichit M, 2011, LIVEST SCI, V139, P161, DOI 10.1016/j.livsci.2011.03.006
   Tittonell P, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.584605
   Tornaghi C., 2012, PUBLIC SPACE URBAN A, P3
   Tornaghi C, 2020, AGROECOL SUST FOOD, V44, P594, DOI 10.1080/21683565.2019.1680593
   Tornaghi C, 2017, ANTIPODE, V49, P781, DOI 10.1111/anti.12291
   Tresch S, 2019, SCI TOTAL ENVIRON, V658, P1614, DOI 10.1016/j.scitotenv.2018.12.235
   United Nations, 2020, SUSTAINABLE DEV GOAL, DOI [10.18356/214e6642-en, DOI 10.18356/214E6642-EN]
   Veeenhuizen van R, 2006, CITIES FARMING FUTUR
   Wakefield S, 2007, HEALTH PROMOT INT, V22, P92, DOI 10.1093/heapro/dam001
   Walker RE, 2010, HEALTH PLACE, V16, P876, DOI 10.1016/j.healthplace.2010.04.013
   Wezel A, 2020, AGRON SUSTAIN DEV, V40, DOI 10.1007/s13593-020-00646-z
   Yan A, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00359
   Zasada I, 2011, LAND USE POLICY, V28, P639, DOI 10.1016/j.landusepol.2011.01.008
   ,, 2017, EEA Report
NR 121
TC 25
Z9 26
U1 8
U2 61
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 2168-3565
EI 2168-3573
J9 AGROECOL SUST FOOD
JI Agroecol. Sustain. Food Syst.
PD JAN 2
PY 2023
VL 47
IS 1
BP 47
EP 71
DI 10.1080/21683565.2022.2127044
EA SEP 2022
PG 25
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA 6D3BV
UT WOS:000860071400001
DA 2025-04-22
ER

PT J
AU Säumel, I
   Reddy, SE
   Wachtel, T
AF Saeumel, Ina
   Reddy, Suhana E.
   Wachtel, Thomas
TI Edible City Solutions-One Step Further to Foster Social Resilience
   through Enhanced Socio-Cultural Ecosystem Services in Cities
SO SUSTAINABILITY
LA English
DT Article
DE circular economy; living labs; multifunctionality; urban agriculture;
   urban farming; urban regeneration; social cohesion
ID URBAN GREEN-SPACE; COMMUNITY GARDENS; SCHOOL GARDENS; PUBLIC-HEALTH;
   HOME GARDENS; FOOD SYSTEMS; AGRICULTURE; POLICY; SUSTAINABILITY;
   INFRASTRUCTURE
AB Nature-based solutions have not been able to actively involve citizens and to address successfully food security, poverty alleviation, and inequality in urban areas. The Edible City approach promises a strategic step towards the development of sustainable, livable, and healthy cities. We introduce the conceptional framework of Edible City Solutions (ECS), including different forms of urban farming combined with closed loop systems for sustainable water, nutrient, and waste management. We review scientific evidence on ECS benefits for urban regeneration and describe the status quo of ECS in Rotterdam, Andernach, Oslo, Heidelberg, and Havana as case studies. We provide an analysis of strengths, weaknesses, opportunities, and threats (SWOT) to explore the capacity of ECS to enhance multifunctionality of urban landscapes with special focus on social cohesion and quality of life. Based on this we identify and discuss strategies for fostering socially relevant implementations for the case study cities and beyond.
C1 [Saeumel, Ina; Reddy, Suhana E.; Wachtel, Thomas] Humboldt Univ, Integrat Res Inst Transformat Human Environm Syst, Linden 6, D-10099 Berlin, Germany.
   [Saeumel, Ina] Humboldt Univ, Fac Life Sci, Inst Agr & Hort Sci, Invalidenstr 42, D-10099 Berlin, Germany.
C3 Humboldt University of Berlin; Humboldt University of Berlin
RP Säumel, I (corresponding author), Humboldt Univ, Integrat Res Inst Transformat Human Environm Syst, Linden 6, D-10099 Berlin, Germany.; Säumel, I (corresponding author), Humboldt Univ, Fac Life Sci, Inst Agr & Hort Sci, Invalidenstr 42, D-10099 Berlin, Germany.
EM ina.saeumel@hu-berlin.de; suhana.reddy@hu-berlin.de;
   thomas.wachtel@hu-berlin.de
OI Saumel, Ina/0000-0001-9099-8182
FU Bundesministerium fur Bildung und Forschung [01UH1606A]
FX This research received funding from the Bundesministerium fur Bildung
   und Forschung (Grant number 01UH1606A).
CR Ackerman K, 2014, ECON SOC REV, V45, P189
   Agyeman J, 2003, ANN AM ACAD POLIT SS, V590, P35, DOI 10.1177/0002716203256565
   Anguelovski I, 2013, CITY COMMUNITY, V12, P211, DOI 10.1111/cico.12026
   [Anonymous], 2007, BARRIERS ADV SUSTAIN
   [Anonymous], 2010, The Just City
   Apparicio P, 2016, APPL GEOGR, V76, P128, DOI 10.1016/j.apgeog.2016.09.023
   Bendt P, 2013, LANDSCAPE URBAN PLAN, V109, P18, DOI 10.1016/j.landurbplan.2012.10.003
   Besthorn FH, 2013, AUST SOC WORK, V66, P187, DOI 10.1080/0312407X.2012.716448
   Birky J, 2013, URBAN GEOGR, V34, P1193, DOI 10.1080/02723638.2013.784086
   Blair D, 2009, J ENVIRON EDUC, V40, P15, DOI 10.3200/JOEE.40.2.15-38
   Born B, 2006, J PLAN EDUC RES, V26, P195, DOI 10.1177/0739456X06291389
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Brisman Avi, 2007, SEATTLE J SOCIAL JUS, V6, P727
   Bucher K, 2017, TEACH TEACH EDUC, V63, P12, DOI 10.1016/j.tate.2016.12.003
   Buehler D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8111108
   Cameron RWF, 2012, URBAN FOR URBAN GREE, V11, P129, DOI 10.1016/j.ufug.2012.01.002
   Camps-Calvet M, 2016, ENVIRON SCI POLICY, V62, P14, DOI 10.1016/j.envsci.2016.01.007
   Ferrer ALC, 2018, RESOUR CONSERV RECY, V128, P360, DOI 10.1016/j.resconrec.2016.07.017
   D'Acci L, 2014, SOC INDIC RES, V115, P531, DOI 10.1007/s11205-012-0221-7
   dos Santos FP, 2016, JASSS-J ARTIF SOC S, V19, DOI 10.18564/jasss.3128
   Eigenbrod C, 2015, AGRON SUSTAIN DEV, V35, P483, DOI 10.1007/s13593-014-0273-y
   Ergas C, 2014, RES URBAN SOCIOL, V14, P239, DOI 10.1108/S1047-004220140000014011
   EU Commission, NAT BAS SOLUT
   Farges G, 2015, SOCIOL RURALIS, V55, P1, DOI 10.1111/soru.12052
   Galluzzi G, 2010, BIODIVERS CONSERV, V19, P3635, DOI 10.1007/s10531-010-9919-5
   Ghisellini P, 2016, J CLEAN PROD, V114, P11, DOI 10.1016/j.jclepro.2015.09.007
   Gofen A, 2015, POLICY SCI, V48, P3, DOI 10.1007/s11077-014-9202-9
   Grewal SS, 2012, CITIES, V29, P1, DOI 10.1016/j.cities.2011.06.003
   Guitart D, 2012, URBAN FOR URBAN GREE, V11, P364, DOI 10.1016/j.ufug.2012.06.007
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Haase D, 2017, HABITAT INT, V64, P41, DOI 10.1016/j.habitatint.2017.04.005
   Hamilton AJ, 2014, AGRON SUSTAIN DEV, V34, P45, DOI 10.1007/s13593-013-0155-8
   Hand KL, 2017, P NATL ACAD SCI USA, V114, P274, DOI 10.1073/pnas.1609588114
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Hayhoe K, 2010, J GREAT LAKES RES, V36, P94, DOI 10.1016/j.jglr.2010.03.011
   Hellermann M, 2017, FOOD CULT SOC, V20, P651, DOI 10.1080/15528014.2017.1357952
   Helms MM, 2010, J STRATEGY MANAG, V3, P215, DOI 10.1108/17554251011064837
   Horst M, 2017, J AM PLANN ASSOC, V83, P277, DOI 10.1080/01944363.2017.1322914
   Jennings V, 2012, ENVIRON JUSTICE, V5, P1, DOI 10.1089/env.2011.0007
   Johnson MP, 2014, CITIES, V40, P151, DOI 10.1016/j.cities.2013.05.005
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Krekel C, 2016, ECOL ECON, V121, P117, DOI 10.1016/j.ecolecon.2015.11.005
   Lafforgue M, 2015, ENVIRON SCI-WAT RES, V1, P622, DOI [10.1039/C5EW00056D, 10.1039/c5ew00056d]
   Lapina L, 2017, J INTERCULT STUD, V38, P621, DOI 10.1080/07256868.2017.1386630
   Leake JR, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-S1-S6
   Loopstra R, 2018, NUTR BULL, V43, P53, DOI 10.1111/nbu.12306
   Meenar M, 2017, J AM PLANN ASSOC, V83, P389, DOI 10.1080/01944363.2017.1369359
   Middleton G, 2018, APPETITE, V120, P698, DOI 10.1016/j.appet.2017.10.029
   Mok HF, 2014, AGRON SUSTAIN DEV, V34, P21, DOI 10.1007/s13593-013-0156-7
   Naturkapital DeutschlandTEEB DE, ING KOW R BARTZ MIR
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   Orsini F, 2013, AGRON SUSTAIN DEV, V33, P695, DOI 10.1007/s13593-013-0143-z
   Palma IP, 2015, J CLEAN PROD, V96, P77, DOI 10.1016/j.jclepro.2013.11.078
   Pothukuchi K, 2018, J URBAN AFF, V40, P657, DOI 10.1080/07352166.2017.1403855
   Ray R, 2016, DU BOIS REV, V13, P379, DOI 10.1017/S1742058X16000229
   Rhodes CJ, 2017, SCI PROGRESS-UK, V100, P80, DOI 10.3184/003685017X14876775256165
   Riches Graham., 1997, 1 WORLD HUNGER FOOD, DOI [DOI 10.1007/978-1-349-25187-2, 10.3138/j.ctt2tth3t, DOI 10.3138/J.CTT2TTH3T]
   Roberts Peter., 2017, Em Urban Regeneration, P9
   Roe JJ, 2017, FRONT PSYCHOL, V8, DOI 10.3389/fpsyg.2017.01760
   Rogge E, 2016, RES RURAL SOCIOL DEV, V23, P161, DOI 10.1108/S1057-192220160000023008
   Rossi JJ, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091543
   Russo A, 2017, AGR ECOSYST ENVIRON, V242, P53, DOI 10.1016/j.agee.2017.03.026
   Säumel I, 2012, ENVIRON POLLUT, V165, P124, DOI 10.1016/j.envpol.2012.02.019
   Sarkar C, 2017, CURR OPIN ENV SUST, V25, P33, DOI 10.1016/j.cosust.2017.06.001
   Taylor JR, 2015, RENEW AGR FOOD SYST, V30, P22, DOI 10.1017/S1742170514000180
   Tei F, 2010, ACTA HORTIC, V881, P91
   Travaline K, 2010, LOCAL ENVIRON, V15, P581, DOI 10.1080/13549839.2010.487529
   Vasquez A, 2017, J ACAD NUTR DIET, V117, P83, DOI 10.1016/j.jand.2016.09.029
   Viljoen A, 2012, SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE, P1, DOI 10.3920/978-8686-826-1
   Walker S, 2016, URBAN GEOGR, V37, P163, DOI 10.1080/02723638.2015.1056606
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wong R, 2018, J COMMUN HEALTH, V43, P604, DOI 10.1007/s10900-017-0459-8
   Wubben E. F. M., 2013, Journal on Chain and Network Science, V13, P139, DOI 10.3920/JCNS2013.1004
NR 73
TC 58
Z9 62
U1 13
U2 167
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB 2
PY 2019
VL 11
IS 4
AR 972
DI 10.3390/su11040972
PG 18
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA HO3JV
UT WOS:000460819100032
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Jackson, SL
   Derakhshan, S
   Blackwood, L
   Lee, L
   Huang, Q
   Habets, M
   Cutter, SL
AF Jackson, Sarah L.
   Derakhshan, Sahar
   Blackwood, Leah
   Lee, Logan
   Huang, Qian
   Habets, Margot
   Cutter, Susan L.
TI Spatial Disparities of COVID-19 Cases and Fatalities in United States
   Counties
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE COVID-19; urban; rural; social vulnerability; resilience; mitigation;
   recovery; GIS
ID SOCIAL VULNERABILITY; DETERMINANTS; HEALTH; IMPACT; RISK; US
AB This paper examines the spatial and temporal trends in county-level COVID-19 cases and fatalities in the United States during the first year of the pandemic (January 2020-January 2021). Statistical and geospatial analyses highlight greater impacts in the Great Plains, Southwestern and Southern regions based on cases and fatalities per 100,000 population. Significant case and fatality spatial clusters were most prevalent between November 2020 and January 2021. Distinct urban-rural differences in COVID-19 experiences uncovered higher rural cases and fatalities per 100,000 population and fewer government mitigation actions enacted in rural counties. High levels of social vulnerability and the absence of mitigation policies were significantly associated with higher fatalities, while existing community resilience had more influential spatial explanatory power. Using differences in percentage unemployment changes between 2019 and 2020 as a proxy for pre-emergent recovery revealed urban counties were hit harder in the early months of the pandemic, corresponding with imposed government mitigation policies. This longitudinal, place-based study confirms some early urban-rural patterns initially observed in the pandemic, as well as the disparate COVID-19 experiences among socially vulnerable populations. The results are critical in identifying geographic disparities in COVID-19 exposures and outcomes and providing the evidentiary basis for targeting pandemic recovery.
C1 [Jackson, Sarah L.; Derakhshan, Sahar; Blackwood, Leah; Lee, Logan; Huang, Qian; Habets, Margot; Cutter, Susan L.] Univ South Carolina, Hazards & Vulnerabil Res Inst, Dept Geog, Columbia, SC 29208 USA.
C3 University of South Carolina System; University of South Carolina
   Columbia
RP Jackson, SL (corresponding author), Univ South Carolina, Hazards & Vulnerabil Res Inst, Dept Geog, Columbia, SC 29208 USA.
EM SJ36@email.sc.edu; saharder@email.sc.edu; lmmoore@email.sc.edu;
   logan.lee@westpoint.edu; qh1@email.sc.edu; mhabets@email.sc.edu;
   scutter@mailbox.sc.edu
RI Derakhshan, Sahar/KBC-2872-2024; Cutter, Susan/R-8849-2019; Habets,
   Margot/KFR-7137-2024
OI Huang, Qian/0000-0002-5502-1023; Cutter, Susan/0000-0002-7005-8596;
   Derakhshan, Sahar/0000-0002-2818-0133; Habets,
   Margot/0000-0002-7172-3703; Jackson, Sarah/0000-0002-9662-5069;
   Blackwood, Leah/0000-0002-9711-798X
FU COVID-19 Research Initiative grant from the Office of the Vice President
   for Research at the University of South Carolina
FX This research is partially supported by a COVID-19 Research Initiative
   grant from the Office of the Vice President for Research at the
   University of South Carolina. There was no other funding received for
   this study.
CR Acs Gregory, 2020, Employment, Income, and Unemployment Insurance During the COVID-19 Pandemic: Findings from the May 14-27 Coronavirus Tracking Survey
   Ahmed R, 2020, HEALTHCARE-BASEL, V8, DOI 10.3390/healthcare8030330
   Ameh GG., 2020, European Journal of Environment and Public Health, V4, DOI DOI 10.29333/EJEPH/8200
   Andersen LM, 2021, SCI TOTAL ENVIRON, V754, DOI 10.1016/j.scitotenv.2020.142396
   [Anonymous], 2021, SOVI U S CAROLINA
   [Anonymous], 2021, New York Times
   Anselin L., 2003, COMPANION THEORETICA
   Anselin L., 2020, Local Spatial Autocorrelation: GeoDa
   Azar KMJ, 2020, HEALTH AFFAIR, V39, P1253, DOI 10.1377/hlthaff.2020.00598
   Bartik AW, 2020, P NATL ACAD SCI USA, V117, P17656, DOI 10.1073/pnas.2006991117
   Bergstrand K, 2015, SOC INDIC RES, V122, P391, DOI 10.1007/s11205-014-0698-3
   Berry CR, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2019706118
   Brandt K, 2021, HEALTH PLACE, V69, DOI 10.1016/j.healthplace.2021.102576
   Braveman P, 2014, PUBLIC HEALTH REP, V129, P19, DOI 10.1177/00333549141291S206
   Chinazzi M, 2020, SCIENCE, V368, P395, DOI [10.1126/science.aba9757, 10.1101/2020.02.09.20021261]
   Choi SWE, 2021, J GERONTOL B-PSYCHOL, V76, pE93, DOI 10.1093/geronb/gbaa182
   Clinton Joshua, 2020, PARTISAN PANDEMIC PA
   Cohen P. N., 2020, European Journal of Environment and Public Health, V4, DOI [10.29333/ejeph/8331, DOI 10.29333/EJEPH/8331]
   Cox DJ, 2020, BEHAV ANAL PRACT, V13, P299, DOI 10.1007/s40617-020-00430-1
   Cutter S, 2014, HURRICANE KATRINA AND THE FORGOTTEN COAST OF MISSISSIPPI, P1, DOI 10.1017/CBO9781139161831
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dasgupta S, 2020, MMWR-MORBID MORTAL W, V69, P1535, DOI 10.15585/mmwr.mm6942a3
   de Bruin YB, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104773
   Desjardins MR, 2020, APPL GEOGR, V118, DOI 10.1016/j.apgeog.2020.102202
   DiMaggio C, 2020, ANN EPIDEMIOL, V51, P7, DOI 10.1016/j.annepidem.2020.08.012
   Domingue SJ, 2019, AM REV PUBLIC ADM, V49, P897, DOI 10.1177/0275074019856122
   Emrich CT, 2011, WEATHER CLIM SOC, V3, P193, DOI 10.1175/2011WCAS1092.1
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Freese KE, 2021, J HEALTH CARE POOR U, V32, P245, DOI 10.1353/hpu.2021.0022
   Furman Jason, 2020, Promoting Economic Recovery After COVID-19
   Galea S, 2020, JAMA-J AM MED ASSOC, V324, P227, DOI 10.1001/jama.2020.11132
   Gangopadhyaya A, 2020, Health Insurance, and the COVID-19 Recession, DOI DOI 10.2139/SSRN.3568489
   Grossman G, 2020, P NATL ACAD SCI USA, V117, P24144, DOI 10.1073/pnas.2007835117
   Guo YT, 2021, HEALTH PLACE, V69, DOI 10.1016/j.healthplace.2021.102538
   Hazards and Vulnerability Research Institute (HVRI), 2021, COUNT COMP BRIC SCOR
   Hohl A, 2020, SPAT SPATIO-TEMPORAL, V34, DOI 10.1016/j.sste.2020.100354
   Hong B, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2021258118
   Huang Q, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0246548
   Kahane LH, 2021, EAST ECON J, V47, P163, DOI 10.1057/s41302-020-00186-0
   Kang JY, 2020, INT J HEALTH GEOGR, V19, DOI 10.1186/s12942-020-00229-x
   Kantamneni N, 2020, J VOCAT BEHAV, V119, DOI 10.1016/j.jvb.2020.103439
   Karaye IM, 2020, AM J PREV MED, V59, P317, DOI 10.1016/j.amepre.2020.06.006
   Kent State University, 2021, SPSS TUT IND SAMPL T
   Khazanchi R, 2020, J GEN INTERN MED, V35, P2784, DOI 10.1007/s11606-020-05882-3
   Kulldorff M., 2018, USER GUIDE VERSION 9
   Kwan MP, 2012, ANN ASSOC AM GEOGR, V102, P958, DOI 10.1080/00045608.2012.687349
   Lantry Lauren., 2020, ABC News
   McPhearson T., 2020, J EXTREM EVENTS, V7, DOI [10.1142/S234573762150007X, DOI 10.1142/S234573762150007X]
   Mueller JT, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2019378118
   National Academies of Sciences Engineering and Medicine (NASEM), 2019, BUILD MEAS COMM RES
   National Association of Counties, 2020, COUNT EM DECL STAY A
   NCHS, 2017, NCHS URB RUR CLASS S
   New York City Department of Health and Mental Hygiene, 2021, CODESEARCHNET DAT
   Nguyen HL, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197896
   Paul A, 2021, J PHYS-COMPLEXITY, V2, DOI 10.1088/2632-072X/ac0fc7
   Paul R, 2020, J RURAL HEALTH, V36, P591, DOI 10.1111/jrh.12486
   Perry BL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2020685118
   Peters D.J., 2020, Rural areas face higher and distinct risks of serious covid-19 outcomes than urban areas
   Raifman J., 2021, COVID 19 US STATE PO, DOI [10.3886/E119446V64, DOI 10.3886/E119446V64]
   Raza O, 2019, ARCH IRAN MED, V22, P155
   Robertson LS, 2021, J URBAN HEALTH, V98, P205, DOI 10.1007/s11524-021-00514-5
   Rosenbloom D, 2020, SCIENCE, V368, P447, DOI 10.1126/science.abc4887
   Rufat S, 2019, ANN AM ASSOC GEOGR, V109, P1131, DOI 10.1080/24694452.2018.1535887
   Sahin A., 2020, EC COMMENT, DOI [10.26509/frbc-ec-202009, DOI 10.26509/FRBC-EC-202009]
   Samuel M., 2015, International Journal of Sociology and Anthropology Research, V1, P22
   Scherzer S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101107
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Short SE, 2015, CURR OPIN PSYCHOL, V5, P78, DOI 10.1016/j.copsyc.2015.05.002
   Tan TQ, 2020, J INFECT DIS, V222, P1951, DOI 10.1093/infdis/jiaa583
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   Tierney K., 2019, DISASTERS SOCIOLOGIC
   Total Population, 2019, TOTAL POPULATION ACS
   U.S. Department of Agriculture, 2020, RUR URB CONT COD DOC
   United States Bureau of Labor Statistics, 2021, LOC AR UN STAT
   United States Census Bureau (USCB), 2018, CART BOUND FIL SHAP
   United States Department of Health and Human Services, 2021, COVID 19 STAT COUNT
   University of Chicago, 2021, COUNT MASK MAND DAT
   Wisner B., 2016, OXFORD RES ENCY NATU, DOI [10.1093/acrefore/9780199389407.013.25, DOI 10.1093/ACREFORE/9780199389407.013.25]
   Woolf SH, 2011, HEALTH AFFAIR, V30, P1852, DOI 10.1377/hlthaff.2011.0685
   Yan Y., 2021, P NATL ACAD SCI US, V118, DOI [10.1073/pnas.2008814118, DOI 10.1073/PNAS.2008814118]
   Yang CW, 2020, INT J DIGIT EARTH, V13, P1186, DOI 10.1080/17538947.2020.1809723
   Zhai W, 2021, ANN AM ASSOC GEOGR, V111, P2023, DOI 10.1080/24694452.2020.1866489
   Zhang CH, 2020, J RURAL HEALTH, V36, P433, DOI 10.1111/jrh.12476
NR 86
TC 36
Z9 41
U1 4
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD AUG
PY 2021
VL 18
IS 16
AR 8259
DI 10.3390/ijerph18168259
PG 21
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA UG3PI
UT WOS:000689168400001
PM 34444007
OA gold, Green Published, Green Submitted
DA 2025-04-22
ER

PT J
AU Galli, F
   Arcuri, S
   Belletti, G
   Marescotti, A
   Moretti, M
   Rovai, M
AF Galli, Francesca
   Arcuri, Sabrina
   Belletti, Giovanni
   Marescotti, Andrea
   Moretti, Michele
   Rovai, Massimo
TI Integrating Local Food Policies and Spatial Planning to Enhance Food
   Systems and Rural-Urban Links: A Living Lab Experiment
SO LAND
LA English
DT Article
DE rural-urban links; food policy; peri-urban agriculture; land use
   planning
AB The development of synergies between rural and urban areas is one of the EU's objectives to contribute to smart and inclusive growth. Effective governance of rural-urban links is essential for balanced development but often lacks policy coherence. This study examines the role of spatial planning and food policy integration in enhancing local food system sustainability and resilience, specifically in peri-urban areas. It investigates challenges and enablers in this integration through a Living Lab experiment in Lucca (Italy) as part of the ROBUST H2020 project. The Living Lab methodology entailed envisioning, experimenting, and experiencing phases to identify key rural-urban connections and assess governance arrangements, focusing on reclaiming abandoned land in peri-urban areas together with local stakeholders. By highlighting the strengths and limitations of a multi-year collaborative research approach, the research highlights a weak recognition of rural-urban linkages and the need for improved dialogue between rural stakeholders and urban planners. Key recommendations comprise formalising public-private partnerships and cross-sectoral projects linking agriculture with education, tourism, and landscape (e.g., agricultural parks).
C1 [Galli, Francesca; Arcuri, Sabrina; Moretti, Michele] Univ Pisa, Dept Agr Food & Environm, I-56124 Pisa, Italy.
   [Belletti, Giovanni; Marescotti, Andrea] Univ Florence, Dept Econ & Management, I-59100 Florence, Italy.
   [Rovai, Massimo] Univ Pisa, Dept Civil Engn, I-56122 Pisa, Italy.
C3 University of Pisa; University of Florence; University of Pisa
RP Galli, F (corresponding author), Univ Pisa, Dept Agr Food & Environm, I-56124 Pisa, Italy.
EM francesca.galli@unipi.it; sabrina.arcuri@agr.unipi.it;
   giovanni.belletti@unifi.it; andrea.marescotti@unifi.it;
   michele.moretti@unipi.it; massimo.rovai@unipi.it
RI ROVAI, MASSIMO/A-7465-2018; Arcuri, Sabrina/AAP-8073-2020; Moretti,
   Michele/W-5223-2018; Galli, Francesca/L-2724-2019; Belletti,
   Giovanni/L-6807-2015
OI ROVAI, MASSIMO/0000-0001-5970-9223; Moretti,
   Michele/0000-0002-8799-9464; Galli, Francesca/0000-0001-7247-3681;
   Arcuri, Sabrina/0000-0002-9509-4438; Belletti,
   Giovanni/0000-0002-0347-4274
FU Horizon 2020 Framework Programme of the European Union;  [727988]
FX This research was carried out in the ROBUST project funded under the
   Horizon 2020 Framework Programme of the European Union under Grant
   Agreement no. 727988. The information and views set out in this article
   are those of the authors and do not necessarily reflect the official
   opinion of the European Union. The APC was funded by the corresponding
   author.
CR Arcuri S, 2022, J RURAL STUD, V89, P287, DOI 10.1016/j.jrurstud.2021.12.005
   Berkhout E, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15031818
   Blay-Palmer A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051680
   Borin E., 2023, Cultural Heritage Alliances for Sustainable Urban and Rural Development
   Brunori G., 2020, Research in Rural Sociology and Development, V25, P107
   Brunori G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080765
   Brunori G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050449
   Cabannes Y., UCL Press. FAO. Rome, P2018
   Caprotti F, 2017, URBAN RES PRACT, V10, P367, DOI 10.1080/17535069.2016.1275618
   Cascone G, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.141247
   Cattaneo A, 2022, WORLD DEV, V157, DOI 10.1016/j.worlddev.2022.105941
   Compagnucci L, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125721
   Curtis ME, 2022, J RURAL HEALTH, V38, P512, DOI 10.1111/jrh.12614
   Delgado-Viñas C, 2022, LAND-BASEL, V11, DOI 10.3390/land11081298
   Edwards F, 2024, ENVIRON SCI POLICY, V156, DOI 10.1016/j.envsci.2024.103735
   European Commission. Joint Research Centre. Institute for Prospective Technological Studies, 2013, Short Food Supply Chains and Local Food Systems in the EU: A State of Play of Their Socio Economic Characteristics
   Fanfani D, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2021.103636
   Fanfani D, 2019, GEOJOURNAL LIB, V124, P149, DOI 10.1007/978-3-319-95576-6_10
   Fantini A, 2023, AGROECOL SUST FOOD, V47, P47, DOI 10.1080/21683565.2022.2127044
   Fattibene D, 2023, CITIES, V135, DOI 10.1016/j.cities.2023.104199
   Forster T., 2016, Right to Food and Nutrition Watch, P36
   Fournier S., 2014, VertigO: La Revue Electronique en Sciences de l'Environnement, V14, DOI DOI 10.4000/VERTIGO.14840
   Francis C., 2005, Human Ecology Review, V12, P60
   Galardi M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031265
   Galli F, 2020, FOOD POLICY, V96, DOI 10.1016/j.foodpol.2020.101871
   Gamache G, 2020, ENVIRON INNOV SOC TR, V37, P93, DOI 10.1016/j.eist.2020.08.002
   Gardi C, 2015, J ENVIRON PLANN MAN, V58, P898, DOI 10.1080/09640568.2014.899490
   Gebre T, 2019, GLOB ECOL CONSERV, V20, DOI 10.1016/j.gecco.2019.e00707
   Guccione Giovanni Dara, 2024, Rivista di Economia Agraria, V79, P97, DOI 10.36253/rea-14241
   Iaquinta D. L., 2000, Land Reform, Land Settlement and Cooperatives, V2000, P8
   Ingram J., 2018, Agriculture Food Systems to 2050: Global Trends, Challenges and Opportunities, P547, DOI DOI 10.1142/9789813278356_0016
   Knickel K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13095308
   Knickel K, 2021, LAND-BASEL, V10, DOI 10.3390/land10050512
   Knickel M, 2023, FUTURES, V152, DOI 10.1016/j.futures.2023.103219
   Lamine C., 2012, Farming systems research into the 21st century: The new dynamic, P229, DOI [10.1007/978-94-007-4503-2_11, DOI 10.1007/978-94-007-4503-2_11, DOI 10.1007/978-94-007-4503-211]
   Maye D., 2021, WP3 Synthesis Report: ROBUST Deliverable 3.3
   Mazzocchi Giampiero, 2024, Rivista di Economia Agraria, V78, P19, DOI 10.36253/rea-14511
   Monaco F, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010096
   Monticone F, 2023, FOOD POLICY, V119, DOI 10.1016/j.foodpol.2023.102519
   Moragues-Faus A, 2021, FOOD POLICY, V103, DOI 10.1016/j.foodpol.2021.102124
   Moragues-Faus A, 2015, ENVIRON PLANN A, V47, P1558, DOI 10.1177/0308518X15595754
   Ovaska U, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052952
   Palmioli L, 2020, GREEN METAMORPHOSES: AGRICULTURE, FOOD, ECOLOGY, P265, DOI 10.3920/978-90-8686-898-8_22
   Pothukuchi K., 1999, Agriculture and Human Values, V16, P213, DOI 10.1023/A:1007558805953
   Quaglia S., 2018, Integrating Food into Urban Planning, V276, P291, DOI [10.2307/j.ctv513dv1.21, DOI 10.2307/J.CTV513DV1.21]
   Raftowicz M, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16072910
   Rastoin J.-L., 2015, conomies Socits Systmes Agroaliment, V37, P1155
   Rovai M, 2023, LAND-BASEL, V12, DOI 10.3390/land12061123
   Scott AJ, 2013, PROG PLANN, V83, P1, DOI 10.1016/j.progress.2012.09.001
   Tobias S, 2020, LAND-BASEL, V9, DOI 10.3390/land9020043
   U.S.S.C, 2022, Urban and peri-urban agriculture sourcebook-From production to food systems, DOI DOI 10.4060/CB9722EN
   Woods M., 2020, Routledge Handbook of Sustainable and Regenerative Food Systems, DOI 10.4324/9780429466823-26
   Woods M., 2017, [No title captured]
   Zasada I, 2011, LAND USE POLICY, V28, P639, DOI 10.1016/j.landusepol.2011.01.008
   Zurek M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114271
NR 55
TC 0
Z9 0
U1 9
U2 9
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2024
VL 13
IS 12
AR 2014
DI 10.3390/land13122014
PG 23
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Q8K2A
UT WOS:001387089200001
OA gold
DA 2025-04-22
ER

PT J
AU Flower, B
   Fortnam, M
   Kol, L
   Sasin, P
   Wood, RG
AF Flower, Benjamin
   Fortnam, Matt
   Kol, Leakhana
   Sasin, Piotr
   Wood, Rachel Godfrey
TI Using participatory methods to uncover interacting urban risks: a case
   study of three informal settlements in Phnom Penh, Cambodia
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE disasters; informal settlements; participatory methods; resilience;
   Southeast Asia; urban risk; vulnerability
ID CLIMATE-CHANGE; VULNERABILITY; POOR; COMMUNITIES; FRAMEWORK
AB The residents of informal settlements face a diverse range of urban risks, from climate and economic shocks to local pollution and the threat of eviction. This article explores these risks by conducting Participatory Hazard Vulnerability and Capacity Assessments (PHVCA) in three informal settlements in the Cambodian capital of Phnom Penh. The assessment uncovers a variety of risks, which interact with each other and local vulnerabilities to produce complex risk profiles for residents. In this way, we highlight the importance of a holistic assessment of urban risk rather than focusing on single risks or specific sectors. The participatory approach also reveals household and community-level processes through which risks are experienced, negotiated and in some cases addressed, providing valuable insights into the ways vulnerable urban populations can be best supported.
C1 [Flower, Benjamin; Sasin, Piotr] People Need, 33 St 71 Sangkat Tonle Bassac, Phnom Penh 12302, Cambodia.
   [Fortnam, Matt] Univ Exeter, Dept Geog, Exeter, Devon, England.
   [Wood, Rachel Godfrey] IIED, London, England.
C3 University of Exeter
RP Flower, B (corresponding author), People Need, 33 St 71 Sangkat Tonle Bassac, Phnom Penh 12302, Cambodia.
EM bcrflower@gmail.com; m.fortnam@exeter.ac.uk; kleakhana@gmail.com;
   piotr.sasin@peopleinneed.cz; rachelgodfreywood@yahoo.co.uk
OI Fortnam, Matt/0000-0002-6440-9214
CR Addison Tony, 2008, CHRONIC POVERTY REPO
   Adelekan IO, 2010, ENVIRON URBAN, V22, P433, DOI 10.1177/0956247810380141
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], 2012, The Phnom Penh Urban Poor Assessment
   [Anonymous], 1992, SUSTAINABLE LIVELIHO
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Blaikie P., 1994, At Risk: Natural Hazards, People's Vulnerability and Disasters
   CHAMBERS R, 1989, IDS BULL-I DEV STUD, V20, P1, DOI 10.1111/j.1759-5436.1989.mp20002001.x
   Chant S., 2007, Gender, generation and poverty: Exploring the 'feminisation of poverty' in Africa, Asia and Latin America
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Djordjevic S, 2011, ENVIRON SCI POLICY, V14, P864, DOI 10.1016/j.envsci.2011.05.008
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Flower B., 2015, People In Need
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Gilbert A, 2002, INT DEV PLANN REV, V24, P1, DOI 10.3828/idpr.24.1.1
   Hewitt K., 1997, Regions of risk. A geographical introduction to disasters
   Khemro BHS, 2004, HABITAT INT, V28, P181, DOI 10.1016/S0197-3975(03)00067-5
   Parsons L, 2015, HDB CONT CAMBODIA
   Payne G, 2005, ENVIRON URBAN, V17, P135, DOI 10.1177/095624780501700114
   Sahakum Teang Tnaut, 2011, DISPL FIG PHNOM PENH
   Sumner A, 2011, WORKING PAPER
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   United Nations University Institute for Environment and Human Security (UNU-EHS), 2013, WORLD RISK REP 2013
   Varley A, 2002, INT J URBAN REGIONAL, V26, P449, DOI 10.1111/1468-2427.00392
   WegelinSchuringa M, 1997, ENVIRON URBAN, V9, P181, DOI 10.1177/095624789700900208
NR 25
TC 18
Z9 18
U1 2
U2 23
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD APR
PY 2018
VL 30
IS 1
BP 301
EP 316
DI 10.1177/0956247817735481
PG 16
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA GC4ZQ
UT WOS:000429795600018
OA Bronze
DA 2025-04-22
ER

PT J
AU Jiang, WZ
   Tan, Y
AF Jiang, Weizhen
   Tan, Yong
TI Overview on failures of urban underground infrastructures in complex
   geological conditions due to heavy rainfall in China during 1994-2018
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Underground infrastructure; Failure; Heavy rainfall; Database; China
ID CLIMATE-CHANGE; URBANIZATION; LANDSLIDES; FLOODS
AB Currently, global warming is increasing rainfall intensities worldwide, particularly in China. This climate change has caused numerous underground infrastructure failures, which threatens the sustainable development of urban environments. Most failures brought about secondary hazards in densely populated areas, which often caused massive damages and casualties and/or injuries. Thus, a summary of such failures and their contributing factors on a national scale is essential for understanding the adverse influences of climate change on infrastructures, which can help urban planners, designers and engineers to improve city resilience. In this paper, an overview of 378 underground infrastructure failures in China associated with heavy rainfall was conducted. First, the latest rainfall characteristics in China were analyzed. Then, a review was conducted in four aspects, i.e., infrastructure types, involved strata, and temporal and geographic distributions. Finally, contributing factors of the failures were discussed. Several major findings were obtained: (1) the failure numbers had increased significantly since 2010, mainly attributed to the intensification of rainfall in rapidly urbanizing regions; (2) the resilience of underground infrastructures against heavy rainfall is governed by the performance of existing drainage facilities nearby; and (3) more failures clustered in the urban environments featuring highly concentrated rainfalls and thick-layered unsaturated coarse-grained soils.
C1 [Jiang, Weizhen; Tan, Yong] Tongji Univ, Coll Civil Engn, Dept Geotech Engn, 1239 Siping Rd, Shanghai 200092, Peoples R China.
C3 Tongji University
RP Tan, Y (corresponding author), Tongji Univ, Coll Civil Engn, Dept Geotech Engn, 1239 Siping Rd, Shanghai 200092, Peoples R China.
EM jiangweizhen@tongji.edu.cn; tanyong21th@tongji.edu.cn
RI Tan, Yong/G-5159-2018
OI Tan, Yong/0000-0003-3107-5454
CR Aravindan A, 2021, NEWS REPORT REUTERS
   Balogun A. L., 2019, SUSTAIN CITIES SOC, V58, P1
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Cheng Y, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/5297158
   Duan WL, 2016, NAT HAZARDS, V82, P401, DOI 10.1007/s11069-016-2207-2
   Forero-Ortiz E, 2020, NAT HAZARDS, V100, P1243, DOI 10.1007/s11069-020-03860-w
   General Administration of Quality Supervision I. a. Q. o. t. P. s. R. o. C. & Committee C. N. S. M, 2012, 285922012 GB T
   Gu CL, 2011, HABITAT INT, V35, P544, DOI 10.1016/j.habitatint.2011.03.002
   Guo JH, 2018, ATMOS ENVIRON, V188, P142, DOI 10.1016/j.atmosenv.2018.06.026
   Guzzetti F, 2008, LANDSLIDES, V5, P3, DOI 10.1007/s10346-007-0112-1
   Haghighatafshar S, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102317
   Huang D, 2018, FRONT ENV SCI ENG, V12, DOI 10.1007/s11783-018-1023-1
   Huang RQ, 2011, J ROCK MECH GEOTECH, V3, P97, DOI 10.3724/SP.J.1235.2011.00097
   Jiang WZ, 2021, ENG FAIL ANAL, V129, DOI 10.1016/j.engfailanal.2021.105695
   Jin H, 2007, ENG GEOLOGY URBAN RA
   Jin H, 2013, URBAN RAPID RAIL TRA, V26, P92
   Kelman I, 2004, ENG GEOL, V73, P297, DOI 10.1016/j.enggeo.2004.01.010
   Kendall M. G., 1948, Rank correlation methods.
   Kim H. G, 2021, SUSTAIN CITIES SOC
   Koerner RM, 2018, GEOTEXT GEOMEMBRANES, V46, P904, DOI 10.1016/j.geotexmem.2018.07.013
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Li Y, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102540
   Lin ML, 2000, ENG GEOL, V58, P191, DOI 10.1016/S0013-7952(00)00058-2
   Liu QL, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102817
   [刘艳臣 LIU Yanchen], 2011, [中国给水排水, China Water & Wastewater], V27, P9
   Lyu HM, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102103
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Mohtar WHMW, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102088
   Moteff J, 2003, REPORT US C
   Najafi MR, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102516
   Nissen KM, 2017, NAT HAZARD EARTH SYS, V17, P1177, DOI 10.5194/nhess-17-1177-2017
   Oliver M. A., 1990, International Journal of Geographical Information Systems, V4, P313, DOI 10.1080/02693799008941549
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Ren DJ, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5710-6
   Salimi M, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101948
   SAUNDERS MK, 1970, ENG GEOL, V4, P289, DOI 10.1016/0013-7952(70)90021-9
   Shi F, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2019.102012
   Stoffel M, 2014, CLIMATIC CHANGE, V122, P141, DOI 10.1007/s10584-013-0993-z
   Surfer, 2012, SURF 11 QUICK STAR G
   Tan Y, 2022, PRACT PERIOD STRUCT, V27, DOI 10.1061/(ASCE)SC.1943-5576.0000646
   Tan Y, 2021, J PERFORM CONSTR FAC, V35, DOI 10.1061/(ASCE)CF.1943-5509.0001658
   Tan Y, 2021, J PERFORM CONSTR FAC, V35, DOI 10.1061/(ASCE)CF.1943-5509.0001539
   Tan Y, 2020, J GEOTECH GEOENVIRON, V146, DOI 10.1061/(ASCE)GT.1943-5606.0002264
   Tan Y, 2018, J PERFORM CONSTR FAC, V32, DOI 10.1061/(ASCE)CF.1943-5509.0001181
   Tang Q.H., 2018, ATLAS ENV RISKS FACI
   Tousi EG, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103014
   Vardon PJ, 2015, ENVIRON GEOTECH, V2, P166, DOI 10.1680/envgeo.13.00055
   Wang G., 2013, TORRENTIAL RAIN DISA, V32, P276
   World Meteorological Organization, 2021, WAT REL HAZ DOM DIS
   World Meteorological Organization, 2019, GLOB CLIM 2015 2019
   Wu HL, 2020, UNDERGR SPACE, V5, P184, DOI 10.1016/j.undsp.2019.01.003
   Wu M., 2019, Torrential Rain and Disasters, V38, P502, DOI [10.3969/j.issn.1004-9045.2019.05.012, DOI 10.3969/J.ISSN.1004-9045.2019.05.012]
   Xia J, 2017, ADV CLIM CHANG RES, V8, P63, DOI 10.1016/j.accre.2017.03.007
   Yamashita S, 2016, SUSTAIN CITIES SOC, V27, P175, DOI 10.1016/j.scs.2016.06.027
   Yang YF, 2018, SUSTAIN CITIES SOC, V42, P407, DOI 10.1016/j.scs.2018.07.013
   Yazdanfar Z, 2015, WATER SCI TECHNOL, V72, P165, DOI 10.2166/wst.2015.207
   Yu Z, 2016, SUSTAIN CITIES SOC, V25, P33, DOI 10.1016/j.scs.2015.12.001
   Zhang LM, 2009, GEORISK, V3, P184, DOI 10.1080/17499510902831759
   Zhao S, 1983, ACTA GEOGRAPHICA SIN, V50, P10
   Zhou YX, 2013, GEOSCI FRONT, V4, P127, DOI 10.1016/j.gsf.2012.03.008
NR 60
TC 34
Z9 34
U1 10
U2 55
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD JAN
PY 2022
VL 76
AR 103509
DI 10.1016/j.scs.2021.103509
PG 20
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA ZS1FG
UT WOS:000768216900042
DA 2025-04-22
ER

PT J
AU Wu, P
   Li, YF
   Li, CB
AF Wu, Peng
   Li, Yunfei
   Li, Chengbing
TI Invulnerability of the Urban Agglomeration Integrated Passenger
   Transport Network under Emergency Events
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE public safety; integrated transportation; complex network theory;
   passenger transport network; emergency; invulnerability; resilience;
   urban agglomeration
ID COMPLEX NETWORK; VULNERABILITY; IDENTIFICATION; RESILIENCE; SYSTEMS
AB Urgent natural environmental events, such as floods, power failures, and epidemics, result in disruptions to the traffic system and heavy disturbances in public requirements. In order to strengthen the ability of the transport network to handle urgent natural environmental issues, this paper simulates the disruption situation of traffic stations in the urban agglomeration by attacking nodes, and evaluates the ability of the transport network to resist disruptions (i.e., invulnerability). Firstly, the model of the urban agglomeration integrated passenger transport network is established based on complex network theory. The highway network, railway network, and coupling network are combined into a multi-layer network space structure, and the edge weight is calibrated by travel time and cost. Secondly, the invulnerability simulation process including multiple attack modes under random and deliberate attack strategies is sorted out. By improving the traditional network efficiency indicator, the network impedance efficiency indicator is proposed to measure network performance, and the network relative impedance efficiency indicator is used to evaluate network invulnerability and identify key nodes. Finally, Chengdu-Chongqing urban agglomeration is taken as a case study. The results show that the network does not collapse quickly and it shows certain invulnerability and robustness under continuous random attacks. Network performance and invulnerability are not necessarily positively correlated. The failure of individual nodes that are small in scale but act as transit hubs may significantly degrade the network performance. The identified key nodes have significance for guiding the construction, maintenance, and optimization of the urban agglomeration passenger transport network, which is conducive to promoting public safety.
C1 [Wu, Peng; Li, Yunfei] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China.
   [Li, Chengbing] Inner Mongolia Univ, Transportat Inst, Hohhot 010021, Peoples R China.
C3 Beijing Jiaotong University; Inner Mongolia University
RP Li, CB (corresponding author), Inner Mongolia Univ, Transportat Inst, Hohhot 010021, Peoples R China.
EM bingbingnihao2008@126.com
FU National Natural Science Foundation of China; Program for Young Talents
   of Science and Technology in Universities of Inner Mongolia Autonomous
   Region;  [62063023];  [NJYT22099]
FX This research was supported by the National Natural Science Foundation
   of China (no. 62063023), and the Program for Young Talents of Science
   and Technology in Universities of Inner Mongolia Autonomous Region (no.
   NJYT22099).
CR Abdelaty H, 2020, TRANSPORTMETRICA A, V16, P1176, DOI 10.1080/23249935.2020.1720042
   Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   Angeloudis P, 2006, PHYSICA A, V367, P553, DOI 10.1016/j.physa.2005.11.007
   Bombelli A, 2020, TRANSPORT RES E-LOG, V138, DOI 10.1016/j.tre.2020.101959
   Cats O, 2020, PHYSICA A, V549, DOI 10.1016/j.physa.2020.124317
   Chen MY, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187410
   [关伟 Guan Wei], 2020, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V20, P9
   Hamedmoghadam H, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21483-y
   Hassan R, 2022, J TRANSP ENG A-SYST, V148, DOI 10.1061/JTEPBS.0000705
   Jia JL, 2020, ADV CIV ENG, V2020, DOI 10.1155/2020/8824797
   Latora V, 2005, PHYS REV E, V71, DOI 10.1103/PhysRevE.71.015103
   Li CB, 2021, ADV CIV ENG, V2021, DOI 10.1155/2021/6658299
   [李成兵 Li Chengbing], 2019, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V19, P14
   Li Chengbing, 2016, Journal of System Simulation, V28, P2958, DOI 10.16182/j.issn1004731x.joss.201612012
   Li T, 2019, TRANSPORT RES A-POL, V127, P55, DOI 10.1016/j.tra.2019.07.008
   Liu CF, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12020813
   Liu J, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081479
   Liu Q., 2014, HIGHWAY, V59, P214
   Liu SY, 2020, CHINESE J AERONAUT, V33, P219, DOI 10.1016/j.cja.2019.09.020
   Liu S, 2022, IEEE T INTELL TRANSP, V23, P5740, DOI 10.1109/TITS.2021.3057404
   [刘朝阳 Liu Zhaoyang], 2018, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V18, P82
   Luo D, 2020, TRANSPORTATION, V47, P2757, DOI 10.1007/s11116-019-09990-w
   [吕彪 Lv Biao], 2021, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V21, P198
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Meng YY, 2020, PHYSICA A, V559, DOI 10.1016/j.physa.2020.125031
   Mou NX, 2020, IEEE ACCESS, V8, P181311, DOI 10.1109/ACCESS.2020.3028214
   Soh H, 2010, PHYSICA A, V389, P5852, DOI 10.1016/j.physa.2010.08.015
   Sohn J, 2006, TRANSPORT RES A-POL, V40, P491, DOI 10.1016/j.tra.2005.08.006
   Sun RR, 2022, J ADV TRANSPORT, V2022, DOI 10.1155/2022/2069112
   Wang WJ, 2020, J ADV TRANSPORT, V2020, DOI 10.1155/2020/6659931
   Wu CL, 2020, TRANSPORT RES A-POL, V140, P52, DOI 10.1016/j.tra.2020.07.018
   Wu Minggong, 2020, Journal of Northwestern Polytechnical University, V38, P279, DOI 10.1051/jnwpu/20203820279
   Xing YY, 2016, DISCRETE DYN NAT SOC, V2016, DOI 10.1155/2016/1290138
   Xu ZZ, 2020, IEEE T INTELL TRANSP, V21, P1491, DOI 10.1109/TITS.2019.2909120
   Xu ZZ, 2022, IEEE T INTELL TRANSP, V23, P12688, DOI 10.1109/TITS.2021.3116667
   Yang YB, 2022, TRANSPORT RES REC, V2676, P798, DOI 10.1177/03611981221097704
   Yap MD, 2018, TRANSPORTATION, V45, P1161, DOI 10.1007/s11116-018-9892-5
   Zhang JH, 2018, PHYSICA A, V496, P72, DOI 10.1016/j.physa.2017.12.094
   Zhang X, 2020, TRANSPORT RES A-POL, V139, P134, DOI 10.1016/j.tra.2020.07.003
   Zhang XJ, 2022, J ADV TRANSPORT, V2022, DOI 10.1155/2022/9958810
   Zhou Y, 2022, TRANSPORT RES A-POL, V162, P220, DOI 10.1016/j.tra.2022.05.014
NR 41
TC 10
Z9 10
U1 8
U2 89
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD JAN
PY 2023
VL 20
IS 1
AR 450
DI 10.3390/ijerph20010450
PG 16
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA 7P8KK
UT WOS:000908947800001
PM 36612772
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Gregory, K
   Chin, A
AF Gregory, Ken
   Chin, Anne
TI Evaluation of the imprint of urban channel adjustment and management
SO GEOGRAPHICAL JOURNAL
LA English
DT Article
DE urban geomorphology; semi-arid environment; urban channel change;
   naturalisation; geomorphic design
ID STREAM NATURALIZATION; RIVER RESTORATION; EVOLUTION MODEL; URBANIZATION;
   ECOLOGY; OPPORTUNITIES; ENVIRONMENTS; VARIABILITY; ENLARGEMENT;
   WATERSHEDS
AB Decades of research have clarified the nature of urban channel adjustments and guided watershed management, so that now it is possible to conduct geomorphological evaluations of urban channel systems, including their management. Such evaluation may address functionality, appearance and resilience. Fountain Hills, Arizona, urbanised since 1970, offers an ideal case for evaluation. The 46 washes on which the urban area has been superimposed are in five groups, with 29% of washes currently categorised as near natural, 23% as adjusting but could recover, and 65% having some elements of the appearance of original washes. Overall, the management goal to maintain what is natural has not been realised, but an alternative objective stated as the need to achieve naturalisation is more viable. Those sections (11% of the total) which do not achieve the requirements of the guiding Ordinance include channelisation by hard engineering and sections incorporated into golf courses. Functionality is satisfactory in the 60% of wash length that has achieved naturalisation. Appearance is appropriate for that same wash length, although golf course developments produce wash lines at variance with the natural character. Short-term resilience is accommodated by the wash management programme and by ongoing adaptive management. Land ownership accounts for some of the variations encountered. This evaluation approach could be applied to other areas, with a holistic basin plan to include the possibility of geomorphological change, thus reducing the need for adaptive management as urbanisation progresses and intensifies. Now that evaluation is feasible, proactive catchment management could be employed as a basis for introducing geomorphic design.
C1 [Gregory, Ken] Univ Southampton, Sch Geog & Environm, Southampton, Hants, England.
   [Chin, Anne] Univ Colorado, Dept Geog & Environm Sci, Denver, CO 80202 USA.
C3 University of Southampton; University of Colorado System; University of
   Colorado Denver
RP Gregory, K (corresponding author), Univ Southampton, Sch Geog & Environm, Southampton, Hants, England.
EM k.j.gregory@ntlworld.com
FU National Geographic Society
FX National Geographic Society
CR [Anonymous], TOWN COUNTRY PLANNIN
   [Anonymous], EARTHS LAND SURFACE
   [Anonymous], A QUEST FOR LIFE AN
   [Anonymous], 2013, Treatise on Geomorphology, DOI DOI 10.1016/B978-0-12-374739-6.00266-9
   [Anonymous], THE BASICS OF GEOMOR
   [Anonymous], P WORLD WATER ENV RE
   [Anonymous], 2003, GUIDANCE ESTABLISHIN
   Ashmore P, 2017, CAN GEOGR-GEOGR CAN, V61, P102, DOI 10.1111/cag.12318
   Ashmore P, 2015, GEOMORPHOLOGY, V251, P149, DOI 10.1016/j.geomorph.2015.02.020
   Beagle JR, 2016, RIVER RES APPL, V32, P280, DOI 10.1002/rra.2863
   Bledsoe BP, 2012, J AM WATER RESOUR AS, V48, P788, DOI 10.1111/j.1752-1688.2012.00653.x
   Booth DB, 2015, AREA, V47, P408, DOI 10.1111/area.12180
   Chin A, 2005, GEOMORPHOLOGY, V69, P28, DOI 10.1016/j.geomorph.2004.10.009
   Chin A, 2001, ANN ASSOC AM GEOGR, V91, P595, DOI 10.1111/0004-5608.00260
   Chin A, 2006, GEOMORPHOLOGY, V79, P460, DOI 10.1016/j.geomorph.2006.06.033
   Chin A, 2009, GEOGR COMPASS, V3, P297, DOI 10.1111/j.1749-8198.2008.00193.x
   DeGasperi CL, 2009, J AM WATER RESOUR AS, V45, P512, DOI 10.1111/j.1752-1688.2009.00306.x
   Ding YF, 2014, ADV MATER RES-SWITZ, V919-921, P1559, DOI 10.4028/www.scientific.net/AMR.919-921.1559
   Downs P.W., 2004, RIVER CHANNEL MANAGE
   Doyle MW, 2015, WATER RESOUR RES, V51, P5603, DOI 10.1002/2015WR017030
   Gautam M, 2014, WATER POLICY, V16, P720, DOI 10.2166/wp.2014.035
   del Tánago MG, 2016, AQUAT SCI, V78, P35, DOI 10.1007/s00027-015-0429-0
   González-Abraham C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121203
   Gregory KJ, 2006, GEOMORPHOLOGY, V79, P172, DOI 10.1016/j.geomorph.2006.06.018
   Gregory KJ, 2011, PROG PHYS GEOG, V35, P831, DOI 10.1177/0309133311414527
   Gregory K.J., 2008, River Restoration: Managing the Uncertainty in Restoring Physical Habitat, P253
   Gregory KJ, 2017, CAN GEOGR-GEOGR CAN, V61, P11, DOI 10.1111/cag.12333
   Gregory KJ, 2002, AREA, V34, P312, DOI 10.1111/1475-4762.00085
   GREGORY KJ, 1992, APPL GEOGR, V12, P299, DOI 10.1016/0143-6228(92)90011-B
   Gurnell AM, 2016, AQUAT SCI, V78, P1, DOI 10.1007/s00027-015-0424-5
   Gurnell A, 2007, GEOGR COMPASS, V1, P1118, DOI 10.1111/j.1749-8198.2007.00058.x
   HAMMER TR, 1972, WATER RESOUR RES, V8, P1530, DOI 10.1029/WR008i006p01530
   Hawley RJ, 2013, J HYDROL, V496, P17, DOI 10.1016/j.jhydrol.2013.05.010
   Hawley RJ, 2012, J AM WATER RESOUR AS, V48, P722, DOI 10.1111/j.1752-1688.2012.00645.x
   Jordan BA, 2010, RIVER RES APPL, V26, P1281, DOI 10.1002/rra.1333
   Keane RE, 2009, FOREST ECOL MANAG, V258, P1025, DOI 10.1016/j.foreco.2009.05.035
   Lane SN, 2014, HYDROL EARTH SYST SC, V18, P927, DOI 10.5194/hess-18-927-2014
   Leopold LB, 2005, P AM PHILOS SOC, V149, P349
   LEOPOLD LB, 1973, GEOL SOC AM BULL, V84, P1845, DOI 10.1130/0016-7606(1973)84<1845:RCCWTA>2.0.CO;2
   Morandi B, 2014, J ENVIRON MANAGE, V137, P178, DOI 10.1016/j.jenvman.2014.02.010
   Napieralski J, 2015, ANN ASSOC AM GEOGR, V105, P649, DOI 10.1080/00045608.2015.1050753
   Newson MD, 2006, EARTH SURF PROC LAND, V31, P1606, DOI 10.1002/esp.1430
   Nicholls A, 2014, P I CIVIL ENG-CIV EN, V167, P40, DOI 10.1680/cien.14.00023
   Reid HE, 2008, PHYS GEOGR, V29, P247, DOI 10.2747/0272-3646.29.3.247
   Reyjol Y, 2014, SCI TOTAL ENVIRON, V497, P332, DOI 10.1016/j.scitotenv.2014.07.119
   Rhoads BL, 1999, ENVIRON MANAGE, V24, P297, DOI 10.1007/s002679900234
   Rinaldi M, 2016, AQUAT SCI, V78, P17, DOI 10.1007/s00027-015-0438-z
   Rios-Touma B, 2015, RIVER RES APPL, V31, P755, DOI 10.1002/rra.2769
   Roy AH, 2009, J AM WATER RESOUR AS, V45, P198, DOI 10.1111/j.1752-1688.2008.00271.x
   Sammonds MJ, 2015, AREA, V47, P386, DOI 10.1111/area.12181
   Shoredits AS, 2013, GEOGR COMPASS, V7, P358, DOI [10.1111/gec3.12039, 10.1111/GEC3.12039]
   Taniguchi KT, 2015, GEOMORPHOLOGY, V248, P228, DOI 10.1016/j.geomorph.2015.07.038
   Tillinghast ED, 2012, J HYDROL ENG, V17, P1381, DOI 10.1061/(ASCE)HE.1943-5584.0000577
   Vietz GJ, 2016, PROG PHYS GEOG, V40, P480, DOI 10.1177/0309133315605048
   Vietz GJ, 2016, LANDSCAPE URBAN PLAN, V145, P34, DOI 10.1016/j.landurbplan.2015.09.004
   Vietz GJ, 2014, GEOMORPHOLOGY, V206, P67, DOI 10.1016/j.geomorph.2013.09.019
   Violin CR, 2011, ECOL APPL, V21, P1932, DOI 10.1890/10-1551.1
   Wade RJ, 2002, J AM WATER RESOUR AS, V38, P931, DOI 10.1111/j.1752-1688.2002.tb05535.x
   Walsh CJ, 2016, PROG PHYS GEOG, V40, P714, DOI 10.1177/0309133316671626
   Walsh CJ, 2015, FRESHW SCI, V34, P1161, DOI 10.1086/682422
   Walsh CJ, 2009, J HYDROL ENG, V14, P399, DOI 10.1061/(ASCE)1084-0699(2009)14:4(399)
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Walter RC, 2008, SCIENCE, V319, P299, DOI 10.1126/science.1151716
   Wenger SJ, 2009, J N AM BENTHOL SOC, V28, P1080, DOI 10.1899/08-186.1
   White I, 2010, NAT BUILT ENVIRON SE, P1
   Whitney JW, 2015, ANTHROPOCENE, V10, P29, DOI 10.1016/j.ancene.2015.09.002
   Wiens J.A., 2012, Historical Environmental Variation in Conservation and Natural Resource Management
   Wohl E, 2011, EARTH SURF PROC LAND, V36, P1378, DOI 10.1002/esp.2180
   Wolman M.G., 1967, GEOGR ANN, V49A, P385, DOI [10.1080/04353676.1967.11879766, DOI 10.1080/04353676.1967.11879766, 10.2307/520904]
   Yang F, 2014, ISPRS J PHOTOGRAMM, V88, P80, DOI 10.1016/j.isprsjprs.2013.11.020
NR 70
TC 12
Z9 14
U1 0
U2 14
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0016-7398
EI 1475-4959
J9 GEOGR J
JI Geogr. J.
PD SEP
PY 2018
VL 184
IS 3
BP 269
EP 282
DI 10.1111/geoj.12231
PG 14
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA GP5SK
UT WOS:000440933400005
DA 2025-04-22
ER

PT J
AU Yang, SN
   Yin, GF
   Shi, XW
   Liu, H
   Zou, Y
AF Yang, Saini
   Yin, Guofan
   Shi, Xianwu
   Liu, Hao
   Zou, Ying
TI Modeling the Adverse Impact of Rainstorms on a Regional Transport
   Network
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article
DE China; Disaster loss assessment; Mathematical modeling; Rainstorm
   hazards; Recovery; Transport networks
ID INFRASTRUCTURE SYSTEMS; RESILIENT CITIES; EXTREME EVENTS;
   INTERDEPENDENCIES; CONGESTION; STORM
AB Cities are centers of socioeconomic activities, and transport networks carry cargoes and passengers from one city to another. However, transport networks are influenced by meteorological hazards, such as rainstorms, hurricanes, and fog. Adverse weather impacts can easily spread over a network. Existing models evaluating such impacts usually neglect the transdisciplinary nature of approaches for dealing with this problem. In this article, a mesoscopic mathematical model is proposed to quantitatively assess the adverse impact of rainstorms on a regional transport network in northern China by measuring the reduction in traffic volume. The model considers four factors: direct and secondary impacts of rainstorms, interdependency between network components, and recovery abilities of cities. We selected the Beijing-Tianjin-Hebei region as the case study area to verify our model. Socioeconomic, precipitation, and traffic volume data in this area were used for model calibration and validation. The case study highlights the potential of the proposed model for rapid disaster loss assessment and risk reduction planning.
C1 [Yang, Saini; Yin, Guofan] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Yang, Saini; Yin, Guofan] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China.
   [Shi, Xianwu] Natl Marine Hazard Mitigat Serv, Beijing 100194, Peoples R China.
   [Liu, Hao] Beijing Transportat Informat Ctr, Beijing 100161, Peoples R China.
   [Zou, Ying] Beijing Municipal Commiss Transport, Beijing 100073, Peoples R China.
C3 Beijing Normal University; Beijing Normal University
RP Yang, SN (corresponding author), Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.; Yang, SN (corresponding author), Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China.
EM yangsaini@bnu.edu.cn
FU National Science Foundation of China [41401599]; National Basic Research
   Program of China [2012CB955402]; Beijing Municipal Science and
   Technology Commission [Z151100002115040]; International Cooperation
   Project [2012DFG20710]; International Center of Collaborative Research
   on Disaster Risk Reduction
FX This study was sponsored by the National Science Foundation of China
   Youth Project (#41401599), the National Basic Research Program of China
   (2012CB955402), the Beijing Municipal Science and Technology Commission
   (Z151100002115040), the International Cooperation Project
   (2012DFG20710), and the International Center of Collaborative Research
   on Disaster Risk Reduction.
CR Amin M, 2000, COMPUTER, V33, P44, DOI 10.1109/2.863967
   [Anonymous], 2015, WMO statement on the status of the global climate in 2014
   [Anonymous], 89 ANN M TRANSP RES
   Attoh-Okine NO, 2009, IEEE SYST J, V3, P147, DOI 10.1109/JSYST.2009.2019148
   Bloomfield R., 2009, P 4 C CRIT INF INFR, P201
   Buzna L, 2006, PHYSICA A, V363, P132, DOI 10.1016/j.physa.2006.01.059
   Chang SE, 2007, NAT HAZARDS, V41, P337, DOI 10.1007/s11069-006-9039-4
   Chang SE, 2014, RISK ANAL, V34, P416, DOI 10.1111/risa.12133
   Chung E., 2006, P S HIGHW CAP YOK
   Chung Y, 2012, TRANSPORT POLICY, V19, P167, DOI 10.1016/j.tranpol.2011.10.001
   Dehman A, 2012, TRANSPORT RES REC, P84, DOI 10.3141/2286-10
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Guo CW, 2015, ATMOS RES, V156, P125, DOI 10.1016/j.atmosres.2015.01.007
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Hoel L.A., 2007, TRANSPORTATION INFRA
   Camacho FJ, 2010, TRANSPORT RES REC, P150, DOI 10.3141/2169-16
   Jiang XM, 2014, J METEOROL RES-PRC, V28, P199, DOI 10.1007/s13351-014-3139-y
   Johansson J, 2010, RELIAB ENG SYST SAFE, V95, P1335, DOI 10.1016/j.ress.2010.06.010
   Munson B.R., 2005, Fundamentals of fluid mechanics, V5th
   Rahmstorf S, 2011, P NATL ACAD SCI USA, V108, P17905, DOI 10.1073/pnas.1101766108
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Santos JR, 2014, RISK ANAL, V34, P1056, DOI 10.1111/risa.12183
   Smith B.L., 2004, P 83 ANN M TRANSP RE
   Su BN, 2016, NAT HAZARDS, V81, P23, DOI 10.1007/s11069-015-2064-4
   Weng JC, 2013, DISCRETE DYN NAT SOC, V2013, DOI 10.1155/2013/791743
   Yang SN, 2012, INT J CRIT INFRASTRU, V8, P230, DOI 10.1504/IJCIS.2012.049043
NR 26
TC 7
Z9 10
U1 6
U2 58
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 2095-0055
EI 2192-6395
J9 INT J DISAST RISK SC
JI Int. J. Disaster Risk Sci.
PD MAR
PY 2016
VL 7
IS 1
BP 77
EP 87
DI 10.1007/s13753-016-0082-9
PG 11
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA DI0XK
UT WOS:000373220400006
OA gold
DA 2025-04-22
ER

PT J
AU Lu, Y
   Xu, RY
   Ma, JY
AF Lu, Yang
   Xu, Ruyun
   Ma, Jingying
TI Urban Energy Transition Policy Implementation: Navigating Complex
   Political Realities and Overcoming Barriers to Effective Strategy
   Deployment
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE False data injection attacks; Microgrids; Generative adversarial
   networks; Cyber security
ID MANAGEMENT; SYSTEM
AB As the transition from traditional power grids to smart grids gains momentum, the integration of a cyber-layer into the system becomes imperative specially be considering policy and government intervention. However, this advancement also exposes the system to potential cyber threats, raising concerns about its security and resilience. This study focuses on bolstering cyber security resilience and detecting cyber-attacks (CAs) within urban microgrids. Specifically, the research investigates the impact of false data injection cyber-attacks, a significant threat to microgrids, on the steady-state performance of isolated microgrids. To combat such threats, a novel approach utilizing generative adversarial networks (GANs) is introduced to identify attacks on smart metering systems within microgrids. However, the GANs alone cannot make informed decisions, necessitating a decisionmaking framework. To address this requirement, a novel method based on prediction intervals is proposed to establish decision boundaries, determining the legitimacy of received data. To evaluate the proposed methodology's performance and accuracy, real-world data from a wind farm is employed. Results demonstrate the method's effectiveness and high accuracy in detecting false data injection attacks. Additionally, the study simulates a false data injection attack on a test microgrid to assess its resilience against CAs, revealing that a successful attack can significantly disrupt normal system operations. This research contributes to enhancing urban microgrid energy security by considering policy-informed decision-making, navigating complexity, and surmounting deployment barriers considering policy and government intervention.
C1 [Lu, Yang; Xu, Ruyun; Ma, Jingying] Northwest Univ Polit Sci & Law, Sch Marxism, Xian 710122, Shaanxi, Peoples R China.
C3 Northwest University of Political Science & Law
RP Lu, Y (corresponding author), Northwest Univ Polit Sci & Law, Sch Marxism, Xian 710122, Shaanxi, Peoples R China.
EM ly5503ly@sina.com
CR Aflaki A, 2021, ENERGIES, V14, DOI 10.3390/en14185823
   Chen B, 2014, IEEE POW ENER SOC GE
   Ferreira AA, 2008, IEEE T POWER ELECTR, V23, P107, DOI 10.1109/TPEL.2007.911799
   Goodfellow I, 2020, COMMUN ACM, V63, P139, DOI 10.1145/3422622
   Haas M, 2020, Arxiv, DOI arXiv:2011.03074
   Hafez O, 2012, RENEW ENERG, V45, P7, DOI 10.1016/j.renene.2012.01.087
   Hatziargyriou N, 2007, IEEE POWER ENERGY M, V5, P78, DOI 10.1109/MPAE.2007.376583
   Khalghani MR, 2021, IEEE T IND ELECTRON, V68, P2151, DOI 10.1109/TIE.2020.2975494
   Kuznetsova E, 2013, ENERGY, V59, P133, DOI 10.1016/j.energy.2013.05.060
   Li N, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103165
   Li QH, 2021, INT J ELEC POWER, V133, DOI 10.1016/j.ijepes.2021.107324
   Li S, 2015, IEEE T SMART GRID, V6, P2725, DOI 10.1109/TSG.2014.2374577
   Liao SJ, 2023, Arxiv, DOI arXiv:2006.05421
   Mantooth HA, 2015, 2015 IEEE FIRST INTERNATIONAL CONFERENCE ON DC MICROGRIDS (ICDCM), P285, DOI 10.1109/ICDCM.2015.7152055
   Mohammadi H, 2022, Arxiv, DOI arXiv:2208.04156
   Mohammadi Mojtaba, 2022, IEEE Transactions on Industrial Informatics, V18, P1896, DOI 10.1109/TII.2021.3081683
   Park S, 2018, SUSTAIN CITIES SOC, V39, P801, DOI 10.1016/j.scs.2017.10.023
   Ribó-Pérez D, 2020, RENEW ENERG, V157, P874, DOI 10.1016/j.renene.2020.05.095
   Sedaghati R, 2019, SUSTAIN CITIES SOC, V44, P830, DOI 10.1016/j.scs.2018.11.014
   Singh PD, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103527
   Unamuno E, 2015, RENEW SUST ENERG REV, V52, P1251, DOI 10.1016/j.rser.2015.07.194
   Vamsi PR, 2014, 2014 INTERNATIONAL CONFERENCE ON SIGNAL PROPAGATION AND COMPUTER TECHNOLOGY (ICSPCT 2014), P698, DOI 10.1109/ICSPCT.2014.6884945
   Venkataramanan V, 2020, IEEE T SMART GRID, V11, P1055, DOI 10.1109/TSG.2019.2930241
   Wang SB, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103419
   Wu SF, 2020, ADV NEUR IN, V33
   Xuan Liu, 2017, Electricity Journal, V30, P35, DOI 10.1016/j.tej.2017.04.001
   Zeng Wente, 2015, IEEE Transactions on Industrial Informatics, V13, P208
NR 27
TC 0
Z9 0
U1 1
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD FEB
PY 2024
VL 101
AR 105127
DI 10.1016/j.scs.2023.105127
EA JAN 2024
PG 12
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA IL7I9
UT WOS:001166543500001
DA 2025-04-22
ER

PT J
AU Xue, PY
   Huang, SQ
   Xie, KW
   Sun, YY
   Fei, LG
AF Xue, Pengyu
   Huang, Shuoqi
   Xie, Kaiwei
   Sun, Yuyue
   Fei, Liguo
TI Identification of the critical factors in flood vulnerability assessment
   based on an improved DEMATEL method under uncertain environments
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban waterlogging; Community scale; Vulnerability assessment;
   PFN-P2TLR; Blur DEMATEL
ID SOCIAL VULNERABILITY; COMMUNITY RESILIENCE; MODEL; RISK; FRAMEWORK
AB With accelerated urbanization, the expansion of urban construction land and the increase in concrete pavement have led to a continuous decline in the natural permeability of the urban surface. This makes it difficult for rainwater in urban areas to infiltrate quickly into the ground, which may lead to urban flooding disasters in cases of heavy rainfall. In recent years, the frequency of urban flooding disasters has been increasing, posing a great safety threat to communities and residents as well as property damage. Therefore, it is important to build a scientific and reasonable community flooding vulnerability assessment system to improve the community emergency response capacity and reduce the losses caused by flooding disasters. In this paper, 94 indicators for community flooding vulnerability assessment are collected by combining literature research and field surveys. The newly proposed fuzzy language expression method based on pentagonal fuzzy numbers (PFN) and the proportional two-tuple linguistic representation (P2TLR) are used as the first step of indicator evaluation and screening, and PFN-P2TLR with the two-step DEMATEL method are combined as the second step of indicator screening. Finally, 23 representative evaluation indicators belonging to the dependent variable are selected. Following a thorough investigation, it was found that "resident characteristics", "regional economic strength", "community precipitation status"and "institutional soundness"are the four most influential factors for community resilience to flooding, and these indicators have a significant impact on other indicators. The research results provide a reliable basis and specific guidance suggestions for community flooding vulnerability assessment, which is crucial for further reducing the occurrence of flooding disasters and mitigating the social and economic losses caused by them.
C1 [Xue, Pengyu; Huang, Shuoqi; Fei, Liguo] Shandong Univ, Smart State Governance Lab, Qingdao 266237, Peoples R China.
   [Xue, Pengyu; Huang, Shuoqi; Xie, Kaiwei; Sun, Yuyue; Fei, Liguo] Shandong Univ, Sch Polit Sci & Publ Adm, Qingdao 266237, Peoples R China.
C3 Shandong University; Shandong University
RP Fei, LG (corresponding author), Shandong Univ, Smart State Governance Lab, Qingdao 266237, Peoples R China.; Fei, LG (corresponding author), Shandong Univ, Sch Polit Sci & Publ Adm, Qingdao 266237, Peoples R China.
EM feiliguo@sdu.edu.com
RI Pengyu, Xue/JBS-5968-2023; Huang, Shuoqi/IWU-6262-2023
OI Fei, Liguo/0000-0001-5417-6130; Xue, Pengyu/0009-0007-3395-9575
FU Natural Science Foundation of Shandong Province of China [ZR2023QG099];
   Social Risk Governance Research of Huangdao Second Jiaozhou Bay Tunnel
   Construction, China [SK210471]
FX This work is supported by the Natural Science Foundation of Shandong
   Province of China (Grant No. ZR2023QG099) and the Social Risk Governance
   Research of Huangdao Second Jiaozhou Bay Tunnel Construction, China
   (SK210471) .
CR Addae BA, 2019, CITIES, V89, P218, DOI 10.1016/j.cities.2019.01.043
   [Anonymous], 2019, COMPUT FRAUD SECUR, P4
   Antwi EK, 2015, WEATHER CLIM EXTREME, V10, P56, DOI 10.1016/j.wace.2015.10.008
   Bathi JR, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13020239
   Bavafa A, 2018, SAFETY SCI, V106, P47, DOI 10.1016/j.ssci.2018.02.025
   Bekheet S, 2014, COMM COM INF SC, V488, P415
   Benito G, 2004, NAT HAZARDS, V31, P623
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Chakraborty L, 2021, INT J DISAST RISK SC, V12, P821, DOI 10.1007/s13753-021-00383-1
   Che Y., 2022, Archit. Cult., V221, P172
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182111597
   Chen Y, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102939
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   [董姝娜 Dong Shuna], 2012, [灾害学, Journal of Catastrophology], V27, P34
   Fei LG, 2022, SOCIO-ECON PLAN SCI, V84, DOI 10.1016/j.seps.2022.101386
   Fei LG, 2022, KNOWL-BASED SYST, V255, DOI 10.1016/j.knosys.2022.109680
   Ganji K., 2020, J. Geogr. Environ. Hazards, V9, P205
   Ganji K., 2022, J. Geogr. Environ. Hazards, V10, P25
   Ganji K., 2019, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., V42, P415
   Ganji K., 2022, Int. J. Disaster Risk Reduct., V82
   Guijuan T., 2017, Chinese Public Adm., P142
   Hamidi AR, 2020, NAT HAZARDS, V101, P385, DOI 10.1007/s11069-020-03878-0
   Hategekimana Y, 2018, NAT HAZARDS, V92, P1137, DOI 10.1007/s11069-018-3244-9
   Huang DP, 2012, NAT HAZARDS, V64, P1575, DOI 10.1007/s11069-012-0323-1
   Karaye IM, 2020, AM J PREV MED, V59, P317, DOI 10.1016/j.amepre.2020.06.006
   Kazmierczak A, 2011, LANDSCAPE URBAN PLAN, V103, P185, DOI 10.1016/j.landurbplan.2011.07.008
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Li B., 2021, J. Gansu Adm. Inst., P68
   [李雯 Li Wen], 2022, [水资源保护, Water Resources Protection], V38, P51
   Li ZQ., 2022, E-Government, P27, DOI [10.16582/j.cnki.dzzw.2022.09.003, DOI 10.16582/J.CNKI.DZZW.2022.09.003]
   Mohandes SR, 2022, SAFETY SCI, V151, DOI 10.1016/j.ssci.2022.105730
   Nazeer M, 2022, NAT HAZARDS, V111, P1103, DOI 10.1007/s11069-021-05062-4
   Nguyen KV, 2013, ECOL SOC, V18, DOI 10.5751/ES-05427-180313
   Ostadtaghizadeh A., 2015, PLOS CURR-TREE LIFE, V7, DOI [DOI 10.1371/CURRENTS.DIS.F224-F8EFBDFCF1D508DD0DE4D8210ED, https://doi.org/10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed, 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed, DOI 10.1371/CURRENTS.DIS.F224EF8EFBDFCF1D508DD0DE4D8210ED, 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed.]
   Pamungkas A, 2014, PROCD SOC BEHV, V135, P159, DOI 10.1016/j.sbspro.2014.07.341
   Papathoma-Köhle M, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127501
   Qiao ML, 2022, INT J APPL EARTH OBS, V113, DOI 10.1016/j.jag.2022.103007
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Schrander J.-J., 2010, Urban Regions: Vulnerabilities, Vulnerability Assessments by Indicators and Adaptation Options for Climate Change Impacts
   Si SL, 2018, MATH PROBL ENG, V2018, DOI 10.1155/2018/3696457
   Sun DC, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12873
   Swart R., 2012, Urban Vulnerability Indicators A joint report of ETC-CCA and ETC-SIA, V1, P2012
   Thieken AH, 2016, ECOL SOC, V21, DOI 10.5751/ES-08547-210251
   United Nations Office for Disaster Risk Reduction, 2022, Tech. rep.
   Wang JH, 2006, IEEE T FUZZY SYST, V14, P435, DOI 10.1109/TFUZZ.2006.876337
   Wang S., 2015, Urban Dev. Stud., V22, P23
   Willems P, 2013, J HYDROL, V496, P166, DOI 10.1016/j.jhydrol.2013.05.037
   Xiao S, 2023, SCI TOTAL ENVIRON, V866, DOI 10.1016/j.scitotenv.2022.161321
   Xue PY, 2024, EXPERT SYST APPL, V236, DOI 10.1016/j.eswa.2023.121285
   Yalcin E, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12499
   Yang M, 2007, Sociol Stud, V4, P137, DOI 10.19934/j.cnki.shxyj.2007.04.007
   Yang QT, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197865
   [杨莹 Yang Ying], 2019, [地理学报, Acta Geographica Sinica], V74, P266
   [尹占娥 Yin Zhane], 2010, [地理学报, Acta Geographica Sinica], V65, P553
   Zhang WW, 2017, INT J DISAST RISK RE, V24, P361, DOI 10.1016/j.ijdrr.2017.06.022
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
   Zhu H., 2013, J. Nanjing Univ. (Philos. Humanities So c. Sci.), V50, P68
NR 57
TC 7
Z9 7
U1 13
U2 42
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD JAN
PY 2024
VL 100
AR 104217
DI 10.1016/j.ijdrr.2023.104217
EA DEC 2023
PG 18
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA IK1I8
UT WOS:001166123500001
DA 2025-04-22
ER

PT J
AU Yu, XY
   Chen, Z
   Liu, F
   Zhu, HH
AF Yu, Xiaoyu
   Chen, Zheng
   Liu, Fang
   Zhu, Hehua
TI How urban metro networks grow: From a complex network perspective
SO TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
LA English
DT Article
DE Metro networks; Growing patterns; Complex network; Service performance
ID SUBWAY; ROBUSTNESS; MANAGEMENT; SYSTEMS
AB Metro lines emerged and developed in cities driven by various factors, and resulted in different structures as we see today. How do metro lines grow as a system? The spatiotemporal growing patterns of metro networks and their complex-network statistics may shed light on this question. Within the framework of the complex network analysis, this paper establishes a nine-metric scheme to quantify the service performance of an urban metro network from three dimensionalities i.e., accessibility, resilience, and serviceability. Accordingly, a shamrock plot is proposed as a tool to visualize the multi-dimensional maturity of a metro network as well as its growing pattern. The metrics and the visualization tool are used to reveal metro development in 42 cities of Chinese mainland. The results show that metro networks can evolve from nascent, to skeleton, and to mature forms, with their scores increasing in all dimensionalities. The choice of urban transportation between metro-dominant and automobile-dominant results from the race between metro development and car popularity. Cities may be more likely to become metro-dominant if metro develops early at a low level of car ownership. Urban metro network may develop as a response to the city's needs hierarchically from the most basic (e.g., accessibility) to more advanced (e.g., resilience and serviceability), similar to Maslow's hierarchy of individual needs.
C1 [Yu, Xiaoyu; Liu, Fang; Zhu, Hehua] Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai, Peoples R China.
   [Yu, Xiaoyu; Liu, Fang; Zhu, Hehua] Tongji Univ, Key Lab Geotech & Underground Engn, Minist Educ, 1239 Siping Rd, Shanghai 200092, Peoples R China.
   [Chen, Zheng] Tongji Univ, Key Lab Ecol & Energy Saving Study Dense Habitat, 1239 Siping Rd, Shanghai 200092, Peoples R China.
C3 Tongji University; Tongji University; Tongji University
RP Liu, F (corresponding author), Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai, Peoples R China.
EM 1810745@tongji.edu.cn; zhengchen@tongji.edu.cn; liufang@tongji.edu.cn;
   zhuhehua@tongji.edu.cn
RI Liu, Fang/N-3851-2014; Yu, Xiaoyu/F-7378-2010; Chen, Zheng/JJC-3202-2023
FU National Key R&D Program of China; Ministry of Science and Tech-nology
   of China;  [2020YFB2103300-3];  [SLDRCE19-B-15]
FX Acknowledgement This study is supported by National Key R&D Program of
   China (with grant No. 2020YFB2103300-3) , and the Ministry of Science
   and Tech-nology of China (with grant No. SLDRCE19-B-15) .
CR Angeloudis P, 2006, PHYSICA A, V367, P553, DOI 10.1016/j.physa.2005.11.007
   [Anonymous], 2022, National Bureau of Statistics of China
   [Anonymous], 2022, CHINA ASS METROOVERV
   Bar-Yam Y., 1998, Computers in Physics, V12, P335, DOI DOI 10.1063/1.4822633
   Barabási AL, 1999, SCIENCE, V286, P509, DOI 10.1126/science.286.5439.509
   Barabási AL, 2012, NAT PHYS, V8, P14, DOI 10.1038/nphys2188
   Beineke LW, 2002, DISCRETE MATH, V252, P31, DOI 10.1016/S0012-365X(01)00180-7
   Boccaletti S, 2006, PHYS REP, V424, P175, DOI 10.1016/j.physrep.2005.10.009
   Chang KH, 2006, J KOREAN PHYS SOC, V48, pS143
   Derrible S., 2010, The Properties And Effects Of Metro Network Designs
   Derrible S, 2010, PHYSICA A, V389, P3678, DOI 10.1016/j.physa.2010.04.008
   Derrible S, 2009, TRANSPORT RES REC, P17, DOI 10.3141/2112-03
   Ding R, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0139961
   He JL, 2018, CHINESE GEOGR SCI, V28, P612, DOI 10.1007/s11769-018-0970-6
   González SH, 2021, CASE STUD TRANSP POL, V9, P1344, DOI 10.1016/j.cstp.2021.07.008
   [黄晓燕 Huang Xiaoyan], 2014, [地理科学进展, Progress in Geography], V33, P1078
   Kanwar K, 2019, PHYSICA A, V526, DOI 10.1016/j.physa.2019.04.227
   Kodur V, 2021, FRONT STRUCT CIV ENG, V15, P46, DOI 10.1007/s11709-020-0676-6
   Latora V, 2002, PHYSICA A, V314, P109, DOI 10.1016/S0378-4371(02)01089-0
   Li Z., 2016, The study on complexity properties in the development of urban rail transit network
   Lin D, 2022, TUNN UNDERGR SP TECH, V125, DOI 10.1016/j.tust.2022.104509
   Lin D, 2021, TUNN UNDERGR SP TECH, V112, DOI 10.1016/j.tust.2021.103877
   Lin D, 2021, TUNN UNDERGR SP TECH, V111, DOI 10.1016/j.tust.2020.103783
   Lyu HM, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102103
   Lyu HM, 2019, HYDROL EARTH SYST SC, V23, P4293, DOI 10.5194/hess-23-4293-2019
   Lyu HM, 2019, TUNN UNDERGR SP TECH, V84, P31, DOI 10.1016/j.tust.2018.10.019
   MacQueen J., 1967, Some methods for classification and analysis of multivariate observations, VVolume 1, P281
   Mao L., 2019, 10 ASIA PACIFIC TRAN, P389
   Maslow AH, 1943, PSYCHOL REV, V50, P370, DOI 10.1037/h0054346
   Moreno C, 2021, SMART CITIES-BASEL, V4, P93, DOI 10.3390/smartcities4010006
   Musso A., 1988, Transportation Research Record, V1162, P22
   NetworkX developers, 2021, NETWORKX NETW AN PYT
   Peng FL, 2021, FRONT STRUCT CIV ENG, V15, P20, DOI 10.1007/s11709-021-0716-x
   Peng JD, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10110789
   Seaton KA, 2004, PHYSICA A, V339, P635, DOI 10.1016/j.physa.2004.03.019
   Shi CM, 2021, EURASIP J WIREL COMM, V2021, DOI 10.1186/s13638-021-01910-w
   Su S, 2015, IEEE T INTELL TRANSP, V16, P622, DOI 10.1109/TITS.2014.2334061
   The People's Government of Shangzhi City H, 2021, Notice from the Office of the People's Government of Shangzhi City on Effectively Ensuring Urban Heating Services for the 2021 to 2022 Season (Now Revoked)
   von Ferber C, 2009, EUR PHYS J B, V68, P261, DOI 10.1140/epjb/e2009-00090-x
   Vragovic I, 2005, PHYS REV E, V71, DOI 10.1103/PhysRevE.71.036122
   Wang JG, 2021, FRONT STRUCT CIV ENG, V15, P569, DOI 10.1007/s11709-021-0735-7
   Wang ZJ, 2020, MOD PHYS LETT B, V34, DOI 10.1142/S0217984920502127
   Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
   Weng M, 2019, J TRANSP HEALTH, V13, P259, DOI 10.1016/j.jth.2019.05.005
   Wu X.T., 2016, International Symposium on Nonlinear Theory and Its Applications, P606
   Wu XT, 2018, PHYSICA A, V492, P553, DOI 10.1016/j.physa.2017.08.074
   Yang JM, 2010, PHYSICA A, V389, P859, DOI 10.1016/j.physa.2009.10.034
   Yang LC, 2022, TUNN UNDERGR SP TECH, V125, DOI 10.1016/j.tust.2022.104528
   Yang YH, 2015, SAFETY SCI, V79, P149, DOI 10.1016/j.ssci.2015.06.006
   Yang ZJ, 2018, PHYSICA A, V503, P1263, DOI 10.1016/j.physa.2018.08.099
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zhang JH, 2011, PHYSICA A, V390, P4562, DOI 10.1016/j.physa.2011.06.022
   Zhu L, 2016, PROCEDIA ENGINEER, V138, P186, DOI 10.1016/j.proeng.2016.01.249
NR 53
TC 20
Z9 21
U1 13
U2 91
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0886-7798
EI 1878-4364
J9 TUNN UNDERGR SP TECH
JI Tunn. Undergr. Space Technol.
PD JAN
PY 2023
VL 131
AR 104841
DI 10.1016/j.tust.2022.104841
EA NOV 2022
PG 13
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 6I6GF
UT WOS:000886225900003
DA 2025-04-22
ER

PT J
AU Wu, CF
   Chen, SH
   Cheng, CW
   Trac, LV
AF Wu, Chen-Fa
   Chen, Szu-Hung
   Cheng, Ching-Wen
   Trac, Luu Van Thong
TI Climate Justice Planning in Global South: Applying a Coupled
   Nature-Human Flood Risk Assessment Framework in a Case for Ho Chi Minh
   City, Vietnam
SO WATER
LA English
DT Article
DE Fuzzy Delphi Method; analytical network process; flood hazard;
   vulnerability; flood risk; Ho Chi Minh City
ID ANALYTICAL HIERARCHY PROCESS; DIGITAL ELEVATION MODELS; ANALYTIC NETWORK
   PROCESS; LAND-USE; COMMUNITY RESILIENCE; CHANGE IMPACTS; MEKONG DELTA;
   RIVER-BASIN; WEST-BENGAL; PROCESS AHP
AB Developing countries in the global south that contribute less to climate change have suffered greater from its impacts, such as extreme climatic events and disasters compared to developed countries, causing climate justice concerns globally. Ho Chi Minh City has experienced increased intensity and frequency of climate change-induced urban floods, causing socio-economic damage that disturbs their livelihoods while urban populations continue to grow. This study aims to establish a citywide flood risk map to inform risk management in the city and address climate justice locally. This study applied a flood risk assessment framework integrating a coupled nature-human approach and examined the spatial distribution of urban flood hazard and urban flood vulnerability. A flood hazard map was generated using selected morphological and hydro-meteorological indicators. A flood vulnerability map was generated based on a literature review and a social survey weighed by experts' priorities using the Fuzzy Delphi Method and Analytic Network Process. Vulnerability indicators including demographic characteristics, infrastructure, and land use patterns were used to generate a flood vulnerability map. The results illustrate that almost the entire central and northeastern parts of the city are at high flood risk, whereas the western part is at low flood risk. The findings have implications in urban planning via identifying risk hot spots in order to prioritize resources for mitigating hazards and enhancing community resilience to urban floods.
C1 [Wu, Chen-Fa; Trac, Luu Van Thong] Natl Chung Hsing Univ, Dept Hort, Taichung 402, Taiwan.
   [Chen, Szu-Hung] Natl Chung Hsing Univ, Int Master Program Agr, Taichung 402, Taiwan.
   [Cheng, Ching-Wen] Arizona State Univ, Design Sch, Tempe, AZ 85287 USA.
C3 National Chung Hsing University; National Chung Hsing University;
   Arizona State University; Arizona State University-Tempe
RP Trac, LV (corresponding author), Natl Chung Hsing Univ, Dept Hort, Taichung 402, Taiwan.
EM cfwu@dragon.nchu.edu.tw; vickey@dragon.nchu.edu.tw;
   Chingwen.Cheng@asu.edu; tracluuvanthong@gmail.com
RI Cheng, Chingwen/A-7152-2010
OI Chen, Szu-Hung/0000-0003-0016-1982; Cheng, Chingwen/0000-0002-9724-2190;
   Trac, Luu Van Thong/0000-0002-5813-6053; Wu, Chen-Fa/0000-0001-9417-0681
FU Ministry of Science and Technology of the Republic of China, Taiwan
   [109-2621-M-002-008-MY3, 109-2625-M-005-002-MY2, MOST
   110-2321-B-005-003]; "Innovation and Development Center of Sustainable
   Agriculture" from the Featured Areas Research Center Program of the
   Higher Education Sprout Project by the Ministry of Education (MOE) in
   Taiwan
FX Ministry of Science and Technology of the Republic of China, Taiwan
   financially supports parts of this research under Contract No.
   109-2621-M-002-008-MY3 and 109-2625-M-005-002-MY2, and MOST
   110-2321-B-005-003. The work related to policy communication,
   environmental education, and outreach was also supported by the
   "Innovation and Development Center of Sustainable Agriculture" from the
   Featured Areas Research Center Program within the framework of the
   Higher Education Sprout Project by the Ministry of Education (MOE) in
   Taiwan.
CR Abebe YA, 2019, ENVIRON MODELL SOFTW, V111, P483, DOI 10.1016/j.envsoft.2018.10.015
   Adnan MSG, 2020, SCI TOTAL ENVIRON, V731, DOI 10.1016/j.scitotenv.2020.138747
   Afzali A, 2014, WATER RESOUR MANAG, V28, P2179, DOI 10.1007/s11269-014-0605-3
   Ahmadalipour A, 2019, SCI TOTAL ENVIRON, V662, P672, DOI 10.1016/j.scitotenv.2019.01.278
   Al-Abadi AM, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5523-7
   Alam MA, 2018, CLIMATE, V6, DOI 10.3390/cli6010009
   Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   Anderson J.R., 1976, A land use and land cover classification system for use with remote sensor data, P1, DOI 10.3133/pp964
   [Anonymous], 2016, GI FORUM, DOI DOI 10.1553/GISCIENCE2016_01_S176
   Babut M, 2019, CHEMOSPHERE, V217, P261, DOI 10.1016/j.chemosphere.2018.11.008
   Beskow S, 2015, J HYDROL-REG STUD, V4, P123, DOI 10.1016/j.ejrh.2015.06.007
   Pham BT, 2020, WATER-SUI, V12, DOI 10.3390/w12030683
   Bradshaw CJA, 2007, GLOBAL CHANGE BIOL, V13, P2379, DOI 10.1111/j.1365-2486.2007.01446.x
   Brooks N., 2003, Tyndall Centre for Climate Change Research Working Paper, V38, P1, DOI DOI 10.1086/379713
   Cabrera JS, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12607
   Cabrera JS, 2018, WATER-SUI, V10, DOI 10.3390/w10070893
   Chakraborty S, 2019, NAT HAZARDS, V99, P247, DOI 10.1007/s11069-019-03737-7
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Chang HJ, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102786
   Chang HK, 2013, HYDROLOG SCI J, V58, P1581, DOI 10.1080/02626667.2013.836276
   Chen YR, 2011, NAT HAZARDS, V59, P1261, DOI 10.1007/s11069-011-9831-7
   Cheng C., 2019, The Routledge Handbook of Urban Resilience, V1st ed., P83
   Cheng CW, 2017, LANDSCAPE URBAN PLAN, V167, P25, DOI 10.1016/j.landurbplan.2017.05.019
   Chou WW, 2014, INT J ENV RES PUB HE, V11, P548, DOI 10.3390/ijerph110100548
   Congalton R.G., 2019, ASSESSING ACCURACY R
   Cui P, 2019, SOC SCI QUART, V100, P2059, DOI 10.1111/ssqu.12699
   Danumah J.H., 2016, GEOENVIRONMENTAL DIS, DOI [10.1186/s40677-016-0044-y, DOI 10.1186/S40677-016-0044-Y, 10.1186/s40677]
   Darabi H, 2019, J HYDROL, V569, P142, DOI 10.1016/j.jhydrol.2018.12.002
   Das S, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3933-4
   Didenko NI, 2017, IOP C SER EARTH ENV, V72, DOI 10.1088/1755-1315/72/1/012014
   Huong DTV, 2014, J APPL REMOTE SENS, V8, DOI 10.1117/1.JRS.8.083626
   Huynh D, 2015, HABITAT INT, V48, P11, DOI 10.1016/j.habitatint.2015.03.007
   Duy PN, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000419
   Nguyen DD, 2013, PROCEEDINGS OF THE 49TH ISOCARP CONGRESS, P1296
   Fernández DS, 2010, ENG GEOL, V111, P90, DOI 10.1016/j.enggeo.2009.12.006
   Fleischhauer M, 2008, NATO SCI PEACE SECUR, P273, DOI 10.1007/978-1-4020-8489-8_14
   Frame DJ, 2020, CLIMATIC CHANGE, V160, P271, DOI 10.1007/s10584-020-02692-8
   Ghosh A, 2018, NAT HAZARDS, V94, P349, DOI 10.1007/s11069-018-3392-y
   Gigovic L, 2017, WATER-SUI, V9, DOI 10.3390/w9060360
   Ha TV, 2020, EGYPT J REMOTE SENS, V23, P11, DOI 10.1016/j.ejrs.2018.07.001
   Hartmann T., 2009, Built Environment, V35, P531, DOI DOI 10.2148/BENV.35.4.531
   Hassan AW, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2001-3
   Hayakawa YS, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035036
   Hazarika N, 2018, J FLOOD RISK MANAG, V11, pS700, DOI 10.1111/jfr3.12237
   Hettiarachchi S, 2018, HYDROL EARTH SYST SC, V22, P2041, DOI 10.5194/hess-22-2041-2018
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/NCLIMATE1911, 10.1038/nclimate1911]
   Holden WN, 2019, ASIAN GEOGR, V36, P1, DOI 10.1080/10225706.2018.1483831
   Hudson P, 2014, NAT HAZARD EARTH SYS, V14, P1731, DOI 10.5194/nhess-14-1731-2014
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Ishigaki T, 2009, ADVANCES IN WATER RESOURCES AND HYDRAULIC ENGINEERING, VOLS 1-6, P141, DOI 10.1007/978-3-540-89465-0_27
   Jeng T.B., 2001, Masters Thesis
   Jha AK, 2012, CITIES AND FLOODING: A GUIDE TO INTEGRATED URBAN FLOOD RISK MANAGEMENT FOR THE 21ST CENTURY, P1, DOI 10.1596/978-0-8213-8866-2
   Johnson Timothy P., 2014, Snowball Sampling: Introduction. Wiley StatsRef: Statistics Reference Online, DOI [DOI 10.1002/9781118445112.STAT05720, 10.1002/9781118445112.stat05720]
   Juang SR, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020278
   Kanani-Sadat Y, 2019, J HYDROL, V572, P17, DOI 10.1016/j.jhydrol.2019.02.034
   Kang S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05252-y
   Kontgis C, 2014, APPL GEOGR, V53, P377, DOI 10.1016/j.apgeog.2014.06.029
   Kuo YF, 2008, EXPERT SYST APPL, V35, P1930, DOI 10.1016/j.eswa.2007.08.068
   Lai CH, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073651
   Lai CH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051352
   Lee SK, 2018, PADDY WATER ENVIRON, V16, P457, DOI 10.1007/s10333-018-0639-x
   Leitao JP, 2018, J HYDROL, V561, P651, DOI 10.1016/j.jhydrol.2018.04.043
   Lima AO, 2021, ATMOS RES, V247, DOI 10.1016/j.atmosres.2020.105221
   Liu J, 2017, LAND USE POLICY, V65, P198, DOI 10.1016/j.landusepol.2017.04.012
   Malmir M, 2016, ENVIRON MONIT ASSESS, V188, DOI 10.1007/s10661-016-5401-5
   Mather PM., 2011, COMPUTER PROCESSING, P434, DOI 10.1002/9780470666517
   Menéndez P, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61136-6
   Mentens J, 2006, LANDSCAPE URBAN PLAN, V77, P217, DOI 10.1016/j.landurbplan.2005.02.010
   Merz B, 2007, ADV NAT TECH HAZ RES, V25, P231
   Messner F, 2006, NATO SCI S SS IV EAR, V67, P149
   Nardi F, 2018, J FLOOD RISK MANAG, V11, pS594, DOI 10.1111/jfr3.12186
   Nardi F, 2008, HYDROLOG SCI J, V53, P1176, DOI 10.1623/hysj.53.6.1176
   Nardi F, 2013, IRRIG DRAIN, V62, P11, DOI 10.1002/ird.1818
   Nasiri H, 2019, INT J ENVIRON SCI TE, V16, P2249, DOI 10.1007/s13762-018-1797-5
   Nawaz A, 2019, RISKS, V7, DOI 10.3390/risks7010024
   Son NT, 2017, SUSTAIN CITIES SOC, V30, P150, DOI 10.1016/j.scs.2017.01.009
   Nkwunonwo UC, 2020, SCI AFR, V7, DOI 10.1016/j.sciaf.2020.e00269
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Ouma YO, 2014, WATER-SUI, V6, P1515, DOI 10.3390/w6061515
   Pandey AC, 2010, NAT HAZARDS, V55, P273, DOI 10.1007/s11069-010-9525-6
   Posthumus H, 2008, AGR WATER MANAGE, V95, P787, DOI 10.1016/j.agwat.2008.02.001
   Pradhan-Salike I., 2017, Journal of Natural Resources and Development, V7, P56, DOI 10.5027/jnrd.v7i0.07
   Rahmati O, 2019, WATER-SUI, V11, DOI 10.3390/w11112370
   Rahmstorf S., 2010, Nat Reps Clim Change, V4, P44, DOI DOI 10.1038/CLIMATE.2010.29
   Rehman J, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101101
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Saaty T.L., 2016, MULTIPLE CRITERIA DE, V1, P419
   Saaty Thomas L., 1990, Multicriteria Decision Making: The Analytic Hierarchy Process
   Saaty TL, 2006, INT SER OPER RES MAN, V95, P1
   Samela C, 2016, J HYDROL ENG, V21, DOI 10.1061/(ASCE)HE.1943-5584.0001272
   Sar N, 2015, MODEL EARTH SYST ENV, V1, DOI 10.1007/s40808-015-0039-9
   Sarvari H, 2019, ARAB J GEOSCI, V12, DOI 10.1007/s12517-019-4313-4
   Scawthorn C., 2006, Natural Hazards Review, V7, P60, DOI 10.1061/(ASCE)1527-6988(2006)7:2(60)
   Schaefer M, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01773
   Schanze J, 2006, NATO SCI S SS IV EAR, V67, P1
   Schober P, 2018, ANESTH ANALG, V126, P1763, DOI 10.1213/ANE.0000000000002864
   Schumann GJP, 2011, REMOTE SENS ENVIRON, V115, P2536, DOI 10.1016/j.rse.2011.04.039
   Seejata K, 2018, PROCEDIA ENGINEER, V212, P340, DOI 10.1016/j.proeng.2018.01.044
   Shen YC, 2010, TECHNOL FORECAST SOC, V77, P151, DOI 10.1016/j.techfore.2009.05.001
   Stefanidis S, 2013, NAT HAZARDS, V68, P569, DOI 10.1007/s11069-013-0639-5
   Stieglitz M, 1997, J CLIMATE, V10, P118, DOI 10.1175/1520-0442(1997)010<0118:AEATMT>2.0.CO;2
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Tingsanchali T, 2005, HYDROL PROCESS, V19, P2055, DOI 10.1002/hyp.5666
   Tran Ngoc T.D., 2016, WATER MEGACITIES GLO, P27
   Dung TTT, 2019, ENVIRON SCI POLLUT R, V26, P9536, DOI 10.1007/s11356-019-04355-3
   Vachaud G, 2019, J HYDROL, V573, P1021, DOI 10.1016/j.jhydrol.2018.02.044
   van Alphen J, 2009, J FLOOD RISK MANAG, V2, P285, DOI 10.1111/j.1753-318X.2009.01045.x
   Vermuyten E, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12651
   Thanh VQ, 2020, HYDROL EARTH SYST SC, V24, P189, DOI 10.5194/hess-24-189-2020
   Vorogushyn S, 2012, J HYDROL, V436, P120, DOI 10.1016/j.jhydrol.2012.03.006
   Vu DT, 2018, WATER SCI TECHNOL, V77, P1632, DOI 10.2166/wst.2018.038
   Wang WM, 2010, OPTIM LETT, V4, P239, DOI 10.1007/s11590-009-0164-3
   Wang YM, 2011, WATER RESOUR MANAG, V25, P3465, DOI 10.1007/s11269-011-9866-2
   Wang ZL, 2015, J HYDROL, V527, P1130, DOI 10.1016/j.jhydrol.2015.06.008
   Wei W., 2007, J Des, V10, P59
   Wu YN, 2015, NAT HAZARDS, V78, P635, DOI 10.1007/s11069-015-1737-3
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Yalcin E, 2020, NAT HAZARDS, V101, P995, DOI 10.1007/s11069-020-03906-z
   Yang TH, 2000, INT J OPER PROD MAN, V20, P1360, DOI 10.1108/01443570010348299
   Zhang JK, 2017, J CLEAN PROD, V141, P409, DOI 10.1016/j.jclepro.2016.09.122
   Zhong M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041521
   Zou Q, 2013, STOCH ENV RES RISK A, V27, P525, DOI 10.1007/s00477-012-0598-5
NR 122
TC 12
Z9 13
U1 15
U2 64
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD AUG
PY 2021
VL 13
IS 15
AR 2021
DI 10.3390/w13152021
PG 21
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA TW3CG
UT WOS:000682282100001
OA Green Published
DA 2025-04-22
ER

PT J
AU Ziervogel, G
   Cowen, A
   Ziniades, J
AF Ziervogel, Gina
   Cowen, Anna
   Ziniades, John
TI Moving from Adaptive to Transformative Capacity: Building Foundations
   for Inclusive, Thriving, and Regenerative Urban Settlements
SO SUSTAINABILITY
LA English
DT Article
DE transformative capacity; adaptive capacity; agency; social cohesion;
   thrivability; South Africa
ID CLIMATE-CHANGE; ADAPTATION; RESILIENCE; VULNERABILITY; COMPLEMENTARY;
   PERSPECTIVE
AB The commitment to understanding the implications of a 1.5 degrees C global temperature warming limit has contributed to a growing realisation that transformative adaptation is necessary to avoid catastrophic environmental and social consequences. This is particularly the case in urban settlements where disconnection from the systems that support life is pervasive and injustice and inequality play out daily. This paper argues that in order to transform towards thriving social-ecological systems, transformative capacity needs to be strengthened. The paper builds on the rich literature of adaptive capacity, alongside concepts of transformation that are drawn from resilience theory, organisational change, and developmental psychology. Reconnection to life-support systems, agency, and social cohesion are put forward as three foundational aspects of transformative capacity. A transdisciplinary case study of the FLOW programme in the Bergrivier Municipality, South Africa, is used to explore how transformative capacity has been built in practice. The case study explores an innovative programme that works with unemployed urban youth, alongside the exploration and introduction of a community currency in the informal business sector, and strengthening cross-scalar interaction between the local municipality and youth. The paper suggests that working across sectors and scales in a transdisciplinary manner is a challenging endeavour but necessary for building inclusive, thriving, and regenerative urban settlements.
C1 [Ziervogel, Gina] Univ Cape Town, Dept Environm & Geog Sci, ZA-7700 Cape Town, South Africa.
   [Ziervogel, Gina] Univ Cape Town, African Climate & Dev Initiat, ZA-7700 Cape Town, South Africa.
   [Cowen, Anna; Ziniades, John] Meshfield, POB 12698,Mill St, ZA-8010 Cape Town, South Africa.
C3 University of Cape Town; University of Cape Town
RP Ziervogel, G (corresponding author), Univ Cape Town, Dept Environm & Geog Sci, ZA-7700 Cape Town, South Africa.; Ziervogel, G (corresponding author), Univ Cape Town, African Climate & Dev Initiat, ZA-7700 Cape Town, South Africa.
EM gina.ziervogel@uct.ac.za; anna@meshfield.com; john@meshfield.com
RI Ziervogel, Gina/AAG-2945-2019
OI Ziervogel, Gina/0000-0003-4219-6809
FU South African National Treasury through the Flemish Government
FX The FLOW programme was funded by South African National Treasury through
   the Flemish Government. The authors would like to acknowledge the range
   of inputs and support received from a variety of people during the
   project, including the FLOW team, the FLOW ambassadors, the Bergrivier
   Municipality and the African Climate and Development Initiative at the
   University of Cape Town (UCT). We would like to thank Chrisna Du Plessis
   and the second, anonymous reviewer for their valuable input.
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Agbor J., 2012, Africa Growth Initiative, The Brookings Institution, P9
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], 2007, INTEGRAL REV
   [Anonymous], PLANNING CITIES AFRI
   [Anonymous], URBAN GEOGR
   Armitage D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04940-170415
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Bauwens Michel., 2014, NETWORK SOC FUTURE S
   Bene C., 2012, Resilience: New utopia or new tyranny? - Reflection about the potentials and limits of the concept of resilience in relation to vulnerability reduction programmes
   Bergrivier Municipality Bergrivier Local Municipality, 2005, OVERVIEW
   Bollier D. Bologna, LAB URBAN COMMONING
   Boyer E.L., 1996, J PUBLIC OUTREACH, V1, P11, DOI DOI 10.2307/3824459
   Brown RR, 2005, ENVIRON MANAGE, V36, P455, DOI 10.1007/s00267-004-0217-4
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Davoudi S, 2013, DISP, V49, P4
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   DIETZ T, 1992, ACTA SOCIOL, V35, P187, DOI 10.1177/000169939203500302
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Edwards M.G., 2010, ORG TRANSFORMATION S
   Eisenstein Charles., 2011, Sacred Economics: Money, Gift, and Society in the Age of Transition, DOI DOI 10.1088/0004-6256/142/3/72
   Ellin Nan., 2006, Integral Urbanism, V1
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Ensor JE, 2015, GLOBAL ENVIRON CHANG, V31, P38, DOI 10.1016/j.gloenvcha.2014.12.005
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2012, ECOL SOC, V17, DOI 10.5751/ES-05517-170455
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hamdi Nabeel., 2004, Small change: about the art of practice and the limits of planning in cities
   Harari Y. N., 2014, Sapiens: A Brief History of Humankind
   Hirsch Hadorn G., 2008, Handbook of transdisciplinary research
   Hobbes T., 2005, THE LEVIATHAN 1
   Hobbes T., 2005, THE LEVIATHAN 2
   Hughes S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05929-180448
   Jane J., 1961, DEATH LIFE GREAT AM
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kegan R., 1982, EVOLVING SELF
   Kegan R., 1994, In over our heads: The mental demands of modern life
   King Martin Luther., DO WE GO HERE
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lietaer B., 2012, Money and sustainability
   Loevinger J., 1976, EGO DEV CONCEPTIONS
   Mang P., 2012, ENCY SUSTAINABILITY, P8855, DOI [DOI 10.1007/978-1-4614-5828-9_303, 10.1007/978-1-4419-0851-3_303]
   Marshall NA, 2010, GLOBAL ENVIRON CHANG, V20, P36, DOI 10.1016/j.gloenvcha.2009.10.003
   McDonough W, 2009, Cradle to Cradle: Remaking the Way We Make Things
   MEADOWS D H, 1972, P205
   Miller F, 2010, ECOL SOC, V15
   Nel E., 2005, Local economic development in the developming world. The experience of Southern Africa, P253
   Nicolescu B., 2001, O manifesto da transdisciplinaridade. 2ed
   O'Brien K., 2010, J INTEGRAL THEORY PR, V5, P89
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Olsson P, 2010, SPRINGER SER ENV MAN, P263, DOI 10.1007/978-3-642-12194-4_13
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pieterse Edgar., 2013, Rogue Urbanism: Emergent African Cities
   Putnam R. D., 1995, Bowling Alone: America's Declining Social Capital, V6, DOI 10.1353/jod.1995.0002
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Ritchie-Dunham J. L., 2014, Ecosynomics: the science of abundance
   Rock D., 2008, NEUROLEADERSHIP J, V1, P44
   Rogers DS, 2012, CURR OPIN ENV SUST, V4, P61, DOI 10.1016/j.cosust.2012.01.013
   Russel J., 2013, THRIVABILITY BREAKIN
   Scharmer O., 2007, THEORY U LEADING FUT
   Scranton Roy., 2015, LEARNING ANTHROPOCEN
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Shackleton S, 2015, WIRES CLIM CHANGE, V6, P321, DOI 10.1002/wcc.335
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Stirling A., 2014, Emancipating Transformations: From controlling 'the transition' to culturing plural radical progress
   Taleb N.N., 2012, Antifragile, Things that Gain from Disorder
   Tschakert P., 2013, International Conference "Transformation in a changing climate", P267
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   United Nations, 2015, World Urbanization Prospects: The 2014 Revision, DOI DOI 10.4054/DEMRES.2005.12.9
   United Nations Framework Convention on Climate Change. Paris Agreement, 2015, 21 C PART, P1
   Van Niekerk J., 2008, URBAN FORUM, V19, P363, DOI 10.1007/s12132-008-9043-8
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   White SC, 2010, DEV PRACT, V20, P158, DOI 10.1080/09614520903564199
   Wilber K., 1995, SEX ECOLOGY SPIRITUA
   Wilber K., 2000, INTEGRAL PSYCHOL
   Ziervogel G., 2016, ENV URBAN
NR 87
TC 100
Z9 110
U1 2
U2 72
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2016
VL 8
IS 9
AR 955
DI 10.3390/su8090955
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA DZ0LC
UT WOS:000385529400124
OA gold
DA 2025-04-22
ER

PT J
AU Li, SQ
   Li, YR
   Han, JC
   Qin, PF
   Du, K
AF Li, Si-Qi
   Li, Yi-Ru
   Han, Jia-Cheng
   Qin, Peng-Fei
   Du, Ke
TI Seismic hazard models for typical urban masonry structures considering
   optimized regression algorithms
SO BULLETIN OF EARTHQUAKE ENGINEERING
LA English
DT Article; Early Access
DE Urban architectural clusters; Seismic risk and hazard; Optimized
   regression algorithm; Seismic risk membership curve; Seismic risk and
   vulnerability index model
ID VULNERABILITY; BUILDINGS; EARTHQUAKES
AB Seismic risk estimation for urban building clusters is essential when developing regional seismic resilience models. A masonry structure is a type of building with a large stock, broad applicability, and simplified construction technology. The traditional seismic intensity measures and fuzzy quantification of structural vulnerability levels result in low accuracy in estimating and predicting seismic damage to masonry structure clusters. This paper proposes a method for evaluating bivariate seismic intensity measure. Nonlinear dynamic and spectral analyses were conducted on real acceleration records monitored by ten stations during the Wenchuan earthquake in Sichuan, China, on May 12, 2008. The outdated seismic vulnerability level of masonry structures is updated, and an optimized structural seismic risk model based on the seismic damage database of 2407 masonry structures in Dujiangyan city under the influence of the Wenchuan earthquake is established. An innovative seismic risk membership index algorithm was developed, and a vulnerability curve was generated for masonry structures considering multiple risk membership indices. An improved seismic risk index calculation function is proposed using the proposed updated vulnerability level, and the seismic risk index curve and stripe model of typical urban masonry building clusters are established. According to the field investigation of the actual structures in Dujiangyan city affected by the Wenchuan earthquake, the typical failure features and disaster mechanism of masonry structures are reported and analysed, and measures and methods to improve and enhance the seismic capacity of such buildings are proposed. The developed seismic risk model for urban masonry structures can contribute positively to the development of relatively accurate seismic resilience models for urban buildings and can improve the accuracy of seismic risk estimation for masonry structures.
C1 [Li, Si-Qi; Li, Yi-Ru; Han, Jia-Cheng; Qin, Peng-Fei; Du, Ke] Heilongjiang Univ, Sch Civil Engn, 74 Xuefu Rd, Harbin, Peoples R China.
   [Li, Si-Qi] China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin, Peoples R China.
   [Li, Si-Qi; Li, Yi-Ru; Han, Jia-Cheng; Qin, Peng-Fei; Du, Ke] Minist Emergency Management, Key Lab Earthquake Disaster Mitigat, Harbin, Peoples R China.
C3 Heilongjiang University; China Earthquake Administration; Institute of
   Engineering Mechanics, CEA
RP Li, SQ (corresponding author), Heilongjiang Univ, Sch Civil Engn, 74 Xuefu Rd, Harbin, Peoples R China.; Li, SQ (corresponding author), China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin, Peoples R China.; Li, SQ (corresponding author), Minist Emergency Management, Key Lab Earthquake Disaster Mitigat, Harbin, Peoples R China.
EM lisiqi@hlju.edu.cn; liyiru312@163.com; 17860061789@163.com;
   qpf443028797@163.com; duke0724@163.com
RI Du, Ke/K-5967-2018; Li, Si-Qi/AFT-4132-2022
OI Li, Si-Qi/0000-0002-2761-9116
FU China Earthquake Administration (CEA)
FX This paper's structural damage sample data and images were derived from
   the earthquake field inspection database of the Institute of Engineering
   Mechanics (IEM) of the China Earthquake Administration (CEA). Data for
   this study are provided by the Strong Motion Observation Center, IEM,
   CEA. We would like to express my sincere gratitude to the IEM.
CR Acito M, 2023, ENG FAIL ANAL, V149, DOI 10.1016/j.engfailanal.2023.107257
   Aloisio A, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103959
   [Anonymous], 2020, GB/T 17742
   [Anonymous], 2008, GBT 17742
   [Anonymous], 1999, GBT 17742
   Baquedano-Juliá P, 2024, NAT HAZARDS, V120, P9223, DOI 10.1007/s11069-023-06008-8
   Biglari M, 2020, FRONT BUILT ENVIRON, V6, DOI 10.3389/fbuil.2020.00002
   Blagojevic N, 2023, B EARTHQ ENG, V21, P4315, DOI 10.1007/s10518-023-01676-0
   Cescatti E, 2023, EARTHQ SPECTRA, V39, P1352, DOI 10.1177/87552930231179741
   Chieffo N, 2024, J EARTHQ ENG, V28, P1892, DOI 10.1080/13632469.2023.2254399
   Chieffo N., 2020, Open Civ Eng J, V14, P314, DOI DOI 10.2174/1874149502014010314
   Chieffo N, 2023, STRUCTURES, V48, P852, DOI 10.1016/j.istruc.2023.01.022
   Chieffo N, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11120667
   Chieffo N, 2019, FRONT BUILT ENVIRON, V5, DOI 10.3389/fbuil.2019.00123
   Chieffo N, 2019, EUR J ENVIRON CIV EN, P1, DOI 10.1080/19648189.2019.1596164
   China Earthquake Administration and National Bureau of Statistics, 2005, Compilation of loss assessment for earthquake disasters in mainland China (2001-2005)
   China Earthquake Administration and National Bureau of Statistics, 1996, Compilation of loss assessment for earthquake disasters in mainland China (1990-1995)
   China Earthquake Administration and National Bureau of Statistics, 2001, Compilation of loss assessment for earthquake disasters in mainland China (1996-2000)
   Colajanni P, 2024, B EARTHQ ENG, V22, P877, DOI 10.1007/s10518-023-01801-z
   Del Gaudio C, 2021, B EARTHQ ENG, V19, P4435, DOI 10.1007/s10518-021-01132-x
   Del Gaudio C, 2019, B EARTHQ ENG, V17, P6301, DOI 10.1007/s10518-019-00683-4
   Follador V, 2023, INT J DISAST RISK RE, V91, DOI 10.1016/j.ijdrr.2023.103668
   Formisano A, 2023, INT J ARCHIT HERIT, V17, P262, DOI 10.1080/15583058.2022.2104143
   Formisano A, 2010, COST ACTION C26: URBAN HABITAT CONSTRUCTIONS UNDER CATASTROPHIC EVENTS, P371
   Gomez-Capera AA, 2024, B EARTHQ ENG, V22, P795, DOI 10.1007/s10518-023-01822-8
   Grunthal G., 1998, European macroseismic scale 1998 (EMS-98), V15
   Guardiola-Víllora A, 2023, B EARTHQ ENG, V21, P4951, DOI 10.1007/s10518-023-01721-y
   Hu YX., 2006, Earthquake Engineering
   Iskandar R, 2023, B EARTHQ ENG, V21, P5949, DOI 10.1007/s10518-023-01768-x
   Kassem MM, 2023, B EARTHQ ENG, V21, P1903, DOI 10.1007/s10518-022-01588-5
   Khanmohammadi M, 2023, SOIL DYN EARTHQ ENG, V173, DOI 10.1016/j.soildyn.2023.108120
   Khansefid A, 2023, STRUCT SAF, V103, DOI 10.1016/j.strusafe.2023.102343
   Ko YY, 2023, NAT HAZARDS, V118, P55, DOI 10.1007/s11069-023-05993-0
   Leggieri V, 2021, AUTOMAT CONSTR, V132, DOI 10.1016/j.autcon.2021.103972
   Li B, 2023, STRUCT SAF, V104, DOI 10.1016/j.strusafe.2023.102365
   Li SQ, 2024, ENG STRUCT, V302, DOI 10.1016/j.engstruct.2023.117431
   Li SQ, 2024, B EARTHQ ENG, V22, P487, DOI 10.1007/s10518-023-01793-w
   Li SQ, 2023, EARTHQ STRUCT, V25, P429, DOI 10.12989/eas.2023.25.6.429
   Li SQ, 2024, B EARTHQ ENG, V22, P1147, DOI 10.1007/s10518-023-01814-8
   Li SQ, 2024, SOIL DYN EARTHQ ENG, V176, DOI 10.1016/j.soildyn.2023.108256
   Li SQ, 2024, AIN SHAMS ENG J, V15, DOI 10.1016/j.asej.2023.102287
   Li SQ, 2024, J EARTHQ ENG, V28, P707, DOI 10.1080/13632469.2023.2217945
   Li SQ, 2025, STRUCT INFRASTRUCT E, V21, P302, DOI 10.1080/15732479.2023.2208565
   Li SQ, 2023, SOIL DYN EARTHQ ENG, V169, DOI 10.1016/j.soildyn.2023.107864
   Li SQ, 2023, J BUILD ENG, V68, DOI 10.1016/j.jobe.2023.106130
   Li SQ, 2023, STRUCTURES, V49, P377, DOI 10.1016/j.istruc.2023.01.130
   Li SQ, 2023, INT J DISAST RISK RE, V88, DOI 10.1016/j.ijdrr.2023.103617
   Li SQ, 2023, B EARTHQ ENG, V21, P2217, DOI 10.1007/s10518-022-01585-8
   Li SQ, 2023, SOIL DYN EARTHQ ENG, V164, DOI 10.1016/j.soildyn.2022.107630
   Li SQ, 2022, B EARTHQ ENG, V20, P5161, DOI 10.1007/s10518-022-01395-y
   Liguori FS, 2023, B EARTHQ ENG, V21, P5655, DOI 10.1007/s10518-023-01752-5
   Lo Monaco A, 2023, ENG FAIL ANAL, V153, DOI 10.1016/j.engfailanal.2023.107539
   Lovon H, 2023, STRUCTURES, V55, P853, DOI 10.1016/j.istruc.2023.06.083
   Ozturk M, 2023, J BUILD ENG, V79, DOI 10.1016/j.jobe.2023.107810
   Pantoja-Rosero BG, 2024, B EARTHQ ENG, V22, P3441, DOI 10.1007/s10518-023-01726-7
   Ruggieri S, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103903
   Ruggieri S, 2023, ENG STRUCT, V275, DOI 10.1016/j.engstruct.2022.115276
   Ruggieri S, 2021, AUTOMAT CONSTR, V132, DOI 10.1016/j.autcon.2021.103936
   Ruggieri S, 2022, INT J ARCHIT HERIT, V16, P717, DOI 10.1080/15583058.2020.1841366
   Salgado-Gálvez MA, 2023, B EARTHQ ENG, DOI 10.1007/s10518-023-01807-7
   Salvalaggio M, 2022, HERITAGE-BASEL, V5, P2142, DOI 10.3390/heritage5030112
   Sun BT, 2018, EARTHQ ENG ENG VIB, V17, P251, DOI 10.1007/s11803-018-0439-8
   Tabandeh A, 2024, B EARTHQ ENG, V22, P255, DOI 10.1007/s10518-023-01728-5
   Valluzzi MR, 2023, INT J ARCHIT HERIT, V17, P1590, DOI 10.1080/15583058.2022.2056545
   Vukobratovic V, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11020038
   Xi JR, 2022, INT J DISAST RISK RE, V80, DOI 10.1016/j.ijdrr.2022.103221
   Xu H, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101307
NR 67
TC 17
Z9 17
U1 24
U2 43
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1570-761X
EI 1573-1456
J9 B EARTHQ ENG
JI Bull. Earthq. Eng.
PD 2024 MAR 12
PY 2024
DI 10.1007/s10518-024-01879-z
EA MAR 2024
PG 31
WC Engineering, Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA KP1G5
UT WOS:001181072100001
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Arnaiz-Schmitz, C
   Aguilera, PA
   Ropero, RF
   Schmitz, MF
AF Arnaiz-Schmitz, C.
   Aguilera, P. A.
   Ropero, R. F.
   Schmitz, M. F.
TI Detecting social-ecological resilience thresholds of cultural landscapes
   along an urban-rural gradient: a methodological approach based on
   Bayesian Networks
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE Social-ecological planning; Tipping points; Traditional ecological
   knowledge; Landscape-socioeconomic interactions; Landscape
   vulnerability; Innovative methodological approach
ID DYNAMICS; MANAGEMENT; FRAMEWORK; SYSTEMS; SUSTAINABILITY; VULNERABILITY;
   CHALLENGES; KNOWLEDGE; MIXTURES; IMPACTS
AB Context The difficulty of analysing resilience and threshold responses to changing environmental drivers becomes evident in the social-ecological systems framework due to their inherent complexity. Research is needed to develop new tools able to deal with such challenges and determine potential thresholds for SES variables that primarily influence tipping point behaviour.
   Objectives In this paper, a methodology based on the application of Bayesian Networks (BNs) has been developed to quantify the social-ecological resilience along an urban-rural gradient in Madrid Region, detecting the tipping point values of the main socioeconomic indicators implying critical transitions at landscape stability thresholds.
   Method To do this, the spatial-temporal trends of the landscape in an urban-rural gradient from Region de Madrid (Spain) were identified, to then quantify the intensity of the changes and explain them using BNs based on regression models. Finally, through inference propagation the thresholds of landscape change were detected.
   Results The results obtained for the study area indicate that the most resilient landscapes analysed are those where the traditional silvo-pastoral activity was maintained by elderly people and where there is cohesion between neighbouring rural municipalities.
   Conclusion The method developed has allowed us to detect the tipping points from which small changes in socioeconomic indicators generate large changes at the landscape level. We demonstrate that the use of BNs is a useful tool to achieve an integrated social-ecological spatial planning.
C1 [Arnaiz-Schmitz, C.; Schmitz, M. F.] Univ Complutense Madrid, Dept Biodivers Ecol & Evolut, Madrid, Spain.
   [Arnaiz-Schmitz, C.] Univ Complutense Madrid, Cuidad Univ, Madrid 28040, Spain.
   [Aguilera, P. A.] Univ Almeria, Dept Biol & Geol, Almeria, Spain.
   [Ropero, R. F.] Univ Almeria, Dept Math, Almeria, Spain.
C3 Complutense University of Madrid; Complutense University of Madrid;
   Universidad de Almeria; Universidad de Almeria
RP Arnaiz-Schmitz, C (corresponding author), Univ Complutense Madrid, Cuidad Univ, Madrid 28040, Spain.
EM caschmitz@ucm.es
RI Arnaiz-Schmitz, Cecilia/AAA-5159-2020; Aguilera, Pedro/F-7538-2015;
   Schmitz, Maria/L-2927-2014
OI Schmitz, Maria/0000-0002-5803-9827; Fernandez, Rosa/0000-0003-1756-012X;
   Arnaiz-Schmitz, Cecilia/0000-0002-3843-0722; Aguilera Aguilera,
   Pedro/0000-0001-8086-4738
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Aguilera PA, 2011, ENVIRON MODELL SOFTW, V26, P1376, DOI 10.1016/j.envsoft.2011.06.004
   Allen CR, 2016, J APPL ECOL, V53, P625, DOI 10.1111/1365-2664.12634
   Angeler DG, 2016, J APPL ECOL, V53, P617, DOI 10.1111/1365-2664.12649
   Antrop M, 2006, LANDSCAPE URBAN PLAN, V75, P187, DOI 10.1016/j.landurbplan.2005.02.014
   Antrop M, 2000, LANDSCAPE ECOL, V15, P257, DOI 10.1023/A:1008151109252
   Arnaiz-Schmitz C, 2018, SCI TOTAL ENVIRON, V612, P625, DOI 10.1016/j.scitotenv.2017.08.215
   Arnaiz-Schmitz C, 2018, URBAN ECOSYST, V21, P1199, DOI 10.1007/s11252-018-0797-z
   Arnaiz-Schmitz C, 2018, SCI TOTAL ENVIRON, V637, P374, DOI 10.1016/j.scitotenv.2018.04.413
   Assumma V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010003
   Béné C, 2011, GLOBAL ENVIRON CHANG, V21, P1173, DOI 10.1016/j.gloenvcha.2011.07.002
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Cao YM, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.139309
   Capon SJ, 2015, SCI TOTAL ENVIRON, V534, P122, DOI 10.1016/j.scitotenv.2015.02.045
   Carpenter SR, 2006, ECOL LETT, V9, P308, DOI 10.1111/j.1461-0248.2005.00877.x
   Cuadrado-Ciuraneta S, 2017, URBAN GEOGR, V38, P66, DOI 10.1080/02723638.2015.1113806
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Aranzabal I, 2008, ECOL INDIC, V8, P672, DOI 10.1016/j.ecolind.2007.11.003
   Drew JA, 2005, CONSERV BIOL, V19, P1286, DOI 10.1111/j.1523-1739.2005.00158.x
   ESRI, 2012, ARCGIS V 10 1
   European Comission, 2006, URB SPRAWL EUR IGN C
   Franco-Gaviria F., 2022, FRONT GLOBAL CHANG, V218, P5
   Friedman N, 1997, MACH LEARN, V29, P131, DOI 10.1023/A:1007465528199
   Gatzweiler FW, 2014, ECOSYST SERV, V10, P137, DOI 10.1016/j.ecoser.2014.08.004
   Geri F, 2010, APPL GEOGR, V30, P370, DOI 10.1016/j.apgeog.2009.10.006
   Gómez-Baggethun E, 2013, ECOL SOC, V18, DOI 10.5751/ES-06288-180472
   González-Quintero C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11216073
   Herrero-Jáuregui C, 2019, LANDSCAPE ECOL, V34, P1525, DOI 10.1007/s10980-018-0756-3
   Hewitt R, 2011, APPL GEOGR, V31, P650, DOI 10.1016/j.apgeog.2010.11.002
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Horan RD, 2011, P NATL ACAD SCI USA, V108, P7333, DOI 10.1073/pnas.1005431108
   Hu MM, 2018, POL J ENVIRON STUD, V27, P1085, DOI 10.15244/pjoes/76242
   Jaeger JAG, 2000, LANDSCAPE ECOL, V15, P115, DOI 10.1023/A:1008129329289
   Jensen F. V., 1996, AISB Quarterly, P9
   Flores MJ, 2019, STOCH ENV RES RISK A, V33, P1991, DOI 10.1007/s00477-019-01746-3
   Keane RE, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2414
   Kie JG, 2002, ECOLOGY, V83, P530, DOI 10.1890/0012-9658(2002)083[0530:LHADSE]2.0.CO;2
   Kuemmerle T, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/6/064020
   Lambin EF, 2010, LAND USE POLICY, V27, P108, DOI 10.1016/j.landusepol.2009.09.003
   Lasanta T, 2006, LANDSCAPE URBAN PLAN, V78, P101, DOI 10.1016/j.landurbplan.2005.06.003
   Lauerburg RAM, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135838
   Lausch A., 2002, ECOL INDIC, V2, P3, DOI DOI 10.1016/S1470-160X(02)00053-5
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Lepart J., 1992, LANDSCAPE BOUNDARIES, P76, DOI [10.1007/978-1-4612-2804-2_4, DOI 10.1007/978-1-4612-2804-2_4]
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Maldonado AD, 2016, STOCH ENV RES RISK A, V30, P1441, DOI 10.1007/s00477-015-1133-2
   Malek Z, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102170
   Mathias JD, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59713-w
   McCann RK, 2006, CAN J FOREST RES, V36, P3053, DOI 10.1139/X06-238
   McDonnell Mark J., 1997, Urban Ecosystems, V1, P21, DOI 10.1023/A:1014359024275
   McGarigal K., 2012, FRAGSTATS V4 SPATIAL, P15
   Miller F, 2010, ECOL SOC, V15
   MINSKY M, 1961, P IRE, V49, P8, DOI 10.1109/JRPROC.1961.287775
   Nagendra H, 2002, APPL GEOGR, V22, P175, DOI 10.1016/S0143-6228(02)00002-4
   Nitschke CR, 2008, FOREST ECOL MANAG, V256, P313, DOI 10.1016/j.foreco.2008.04.026
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Perz SG, 2012, REG ENVIRON CHANGE, V12, P35, DOI 10.1007/s10113-011-0233-x
   Plieninger T, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098355
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Renaud FG, 2010, NAT HAZARDS, V55, P749, DOI 10.1007/s11069-010-9505-x
   Rescia AJ, 2010, LANDSCAPE URBAN PLAN, V98, P26, DOI 10.1016/j.landurbplan.2010.07.007
   Reyer CPO, 2015, J ECOL, V103, P5, DOI 10.1111/1365-2745.12337
   Riekhof MC, 2022, NAT RESOUR MODEL, V35, DOI 10.1111/nrm.12357
   Ropero RF, 2018, ECOL MODEL, V368, P391, DOI 10.1016/j.ecolmodel.2017.12.015
   Ropero RF, 2015, ECOL MODEL, V311, P73, DOI 10.1016/j.ecolmodel.2015.05.008
   Ropero RF, 2014, ENVIRON MODELL SOFTW, V57, P127, DOI 10.1016/j.envsoft.2014.02.016
   Ropero RF, 2018, STOCH ENV RES RISK A, V32, P3117, DOI 10.1007/s00477-018-1566-5
   Rumí R, 2007, INT J APPROX REASON, V45, P191, DOI 10.1016/j.ijar.2006.06.007
   Rumí R, 2006, TEST-SPAIN, V15, P397, DOI 10.1007/BF02607059
   Salvati L, 2016, GEOGR ANAL, V48, P132, DOI 10.1111/gean.12093
   Salvati L, 2013, REG ENVIRON CHANGE, V13, P1223, DOI 10.1007/s10113-013-0437-3
   Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244
   Schmitz MF, 2012, BIOL CONSERV, V149, P122, DOI 10.1016/j.biocon.2012.01.043
   Schmitz MF, 2007, ENVIRON CONSERV, V34, P300, DOI 10.1017/S0376892907004249
   Schmitz MF, 2021, LAND-BASEL, V10, DOI 10.3390/land10070721
   Schmitz MF, 2003, ECOL MODEL, V168, P343, DOI 10.1016/S0304-3800(03)00145-5
   Schwind N, 2016, ADV SCI TECH SEC APP, P239, DOI 10.1007/978-3-319-39812-9_12
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Serra P, 2014, APPL GEOGR, V55, P71, DOI 10.1016/j.apgeog.2014.09.005
   Sharifi A., 2017, APN Science Bulletin, V7, DOI [DOI 10.30852/SB.2017.182, 10.30852/sb.2017.182]
   Sirami C, 2010, LANDSCAPE URBAN PLAN, V96, P214, DOI 10.1016/j.landurbplan.2010.03.007
   Su SL, 2012, APPL GEOGR, V34, P295, DOI 10.1016/j.apgeog.2011.12.001
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Thapa P, 2021, ECOL SOC, V26, DOI 10.5751/ES-12579-260324
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Uusitalo L, 2007, ECOL MODEL, V203, P312, DOI 10.1016/j.ecolmodel.2006.11.033
   van Nes EH, 2016, TRENDS ECOL EVOL, V31, P902, DOI 10.1016/j.tree.2016.09.011
   Vizzari M, 2015, LANDSCAPE URBAN PLAN, V140, P42, DOI 10.1016/j.landurbplan.2015.04.001
   Walker B, 2004, ECOL SOC, V9
   Zhang ZM, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-4862-0
NR 90
TC 7
Z9 7
U1 20
U2 96
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0921-2973
EI 1572-9761
J9 LANDSCAPE ECOL
JI Landsc. Ecol.
PD DEC
PY 2023
VL 38
IS 12
BP 3589
EP 3604
DI 10.1007/s10980-023-01732-9
EA JUL 2023
PG 16
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA GC5U4
UT WOS:001039254000001
OA hybrid
DA 2025-04-22
ER

PT J
AU Haque, MN
   Sharifi, A
AF Haque, Md. Nazmul
   Sharifi, Ayyoob
TI Who are marginalized in accessing urban ecosystem services? A systematic
   literature review
SO LAND USE POLICY
LA English
DT Review
DE Access; Marginalization; Vulnerability; Justice; Ecosystem services;
   Urban resilience
ID ENVIRONMENTAL JUSTICE; GREEN SPACE; METROPOLITAN-AREA; MANAGEMENT;
   HEALTH; PARKS; CITY; PERCEPTION; DISPARITY; ACCESSIBILITY
AB Urban ecosystems provide many crucial services to cities and their residents, particularly in adapting to the effects of climate change. Extensive research has been conducted in this field, covering various aspects of ecosystem services. However, little is known about issues related to the limited access to these ecosystem services, particularly among marginalized populations. This review systematically screened 3961 papers and synthesized findings from 98 papers to identify groups that are marginalized in terms of access to urban ecosystem services and provide policy measures to address the issue. We conducted an inductive content analysis and thematic analysis to review the literature comprehensively. Our findings revealed that marginalization is more prevalent in cultural ecosystem services (51 %) than in other ecosystem service types. The results also show that vulnerable populations, including minorities, low-income populations, physically challenged people, children/ young people/students, older people, and migrants, are particularly marginalized. Among these groups, minorities (24 %) emerged as the most extensively studied category. Additionally, we identified a marginalized group labeled as 'generic,' consisting of individuals whose identities did not neatly fit within the previously defined groups or were mentioned across multiple groups simultaneously.The marginalization across all these groups stems from income disparities, cultural norms, racial and ethnic considerations, willingness to visit, agerelated disparities, physical disabilities, and geographical location. Importantly, our study underscores the adverse effects of marginalization on these groups, leading to health disparities, lower quality of life, and reduced resilience to climate change. In light of these findings, we also spotlight policies from the literature such as inclusive urban planning, community engagement initiatives, and financial support aimed at ensuring more equitable access to urban ecosystem services.
C1 [Haque, Md. Nazmul] Hiroshima Univ, Grad Sch Humanities & Social Sci, Urban Environm Sci Lab URBES, Higashihiroshima, Japan.
   [Haque, Md. Nazmul] Khulna Univ Engn & Technol, Dept Urban & Reg Planning, Khulna, Bangladesh.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst, 1-5-1 Kagamiyam, Higashihiroshima 7398529, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, 1-5-1 Kagamiyam, Higashihiroshima 7398529, Japan.
   [Sharifi, Ayyoob] Lebanese Amer Univ, Sch Architecture & Design, Beirut, Lebanon.
C3 Hiroshima University; Khulna University of Engineering & Technology
   (KUET); Hiroshima University; Hiroshima University; Lebanese American
   University
RP Sharifi, A (corresponding author), Hiroshima Univ, IDEC Inst, 1-5-1 Kagamiyam, Higashihiroshima 7398529, Japan.; Sharifi, A (corresponding author), Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, 1-5-1 Kagamiyam, Higashihiroshima 7398529, Japan.
EM nhaque.kuet13@gmail.com; sharifi@hiroshima-u.ac.jp
RI Sharifi, Ayyoob/M-7584-2013; Haque, Md Nazmul/GWU-4965-2022
CR Afriyanie D, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102710
   Aghaloo K, 2024, URBAN FOR URBAN GREE, V95, DOI 10.1016/j.ufug.2024.128320
   Alarasi H., 2018, Sustainable Urban Planning and Management, P163
   Anguelovski I, 2020, ANN AM ASSOC GEOGR, V110, P1743, DOI 10.1080/24694452.2020.1740579
   Anguelovski I, 2019, INT J URBAN REGIONAL, V43, P133, DOI 10.1111/1468-2427.12725
   [Anonymous], 2005, Ecosystems and human wellbeing: synthesis, DOI DOI 10.1196/ANNALS.1439.003
   Aragao LEOC, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02771-y
   Arshad HSH, 2018, LOCAL ENVIRON, V23, P536, DOI 10.1080/13549839.2018.1442424
   Assmuth T, 2017, INT J URBAN SUSTAIN, V9, P253, DOI 10.1080/19463138.2017.1370423
   Ataol O., 2019, Youth Environ., V29, P27
   Baró F, 2021, LANDSCAPE URBAN PLAN, V208, DOI 10.1016/j.landurbplan.2020.104019
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Brill GC, 2022, LAND-BASEL, V11, DOI 10.3390/land11050603
   Buckland M, 2022, EUR PLAN STUD, DOI 10.1080/09654313.2022.2088230
   Calderón-Argelich A, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104130
   Chen J, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2023.104395
   Choi DA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176998
   Cobbinah PB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104948
   Cole HVS, 2017, J EPIDEMIOL COMMUN H, V71, P1118, DOI 10.1136/jech-2017-209201
   Conway TM, 2011, LANDSCAPE URBAN PLAN, V101, P321, DOI 10.1016/j.landurbplan.2011.02.037
   Corburn J, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14020117
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Cousins JJ, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106874
   Crigger B J, 2001, IRB, V23, P9
   Cruz-Sandoval M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12031215
   da Silva RGP, 2023, LAND USE POLICY, V129, DOI 10.1016/j.landusepol.2023.106638
   Dang H, 2021, FORESTS, V12, DOI 10.3390/f12070813
   Dawson N, 2018, ROU STUD ECOSYS SERV, P22
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   De Luca C, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131911054
   de Manuel BF, 2021, BASIC APPL ECOL, V53, P12, DOI 10.1016/j.baae.2021.02.012
   de Souza DT, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.669944
   Diao YY, 2021, ADV SUSTAIN SYST, V5, DOI 10.1002/adsu.202100171
   Diep L, 2022, ENVIRON SCI POLICY, V136, P542, DOI 10.1016/j.envsci.2022.06.020
   Dobbs C, 2019, URBAN ECOSYST, V22, P173, DOI 10.1007/s11252-018-0805-3
   Egerer M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61230-9
   Enssle F, 2020, ENVIRON SCI POLICY, V109, P36, DOI 10.1016/j.envsci.2020.04.008
   Fang XN, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104843
   Fleischer A, 2018, ECOL ECON, V145, P451, DOI 10.1016/j.ecolecon.2017.11.019
   García-Nieto AP, 2015, ECOSYST SERV, V13, P141, DOI 10.1016/j.ecoser.2014.11.006
   Ghasemi K, 2022, ECOL INDIC, V144, DOI 10.1016/j.ecolind.2022.109455
   Ghorbani S, 2022, J ENVIRON PLANN MAN, V65, P288, DOI 10.1080/09640568.2021.1882964
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Gourevitch JD, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23905-3
   Grabowski ZJ, 2022, ENVIRON SCI POLICY, V138, P171, DOI 10.1016/j.envsci.2022.09.022
   Graça M, 2018, URBAN FOR URBAN GREE, V30, P194, DOI 10.1016/j.ufug.2018.02.001
   Groulx M, 2022, J OUTDOOR REC TOUR, V37, DOI 10.1016/j.jort.2022.100490
   Gulgonen T., 2015, Children, Youth and Environments, V25, P208, DOI [DOI 10.7721/CHILYOUTENVI.25.2.0208, 10.7721/chilyoutenvi.25.2.0208]
   Haines-Young R., 2012, CICES version 4: Response to consultation
   Haque MN, 2024, ECOSYST SERV, V67, DOI 10.1016/j.ecoser.2024.101617
   Haque MN, 2023, ENVIRON SCI POLLUT R, V30, P52321, DOI 10.1007/s11356-023-26096-0
   Heck S, 2021, J ENVIRON POL PLAN, V23, P565, DOI 10.1080/1523908X.2021.1888702
   Kabisch N, 2020, ENVIRON SCI POLICY, V107, P56, DOI 10.1016/j.envsci.2020.02.008
   Katsuda K, 2022, ECOSYST PEOPLE, V18, P275, DOI 10.1080/26395916.2022.2065359
   Khahro SH, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15076228
   Kretsch C., 2016, OpenNESS Ecosystem Services Reference Book
   Lak A, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105736
   Lan TH, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.104005
   Langemeyer J, 2020, ENVIRON SCI POLICY, V109, P1, DOI 10.1016/j.envsci.2020.03.021
   Laszkiewicz E, 2018, ECOSYST SERV, V30, P309, DOI 10.1016/j.ecoser.2017.10.002
   Law A, 2022, AMBIO, V51, P2118, DOI 10.1007/s13280-022-01735-x
   Lee G, 2013, LANDSCAPE URBAN PLAN, V119, P85, DOI 10.1016/j.landurbplan.2013.07.001
   Li ZM, 2024, LOCAL ENVIRON, V29, P164, DOI 10.1080/13549839.2023.2279546
   Lin Y, 2021, SCI TOTAL ENVIRON, V781, DOI 10.1016/j.scitotenv.2021.146784
   Loos J, 2023, AMBIO, V52, P477, DOI 10.1007/s13280-022-01812-1
   Loughran K, 2014, CITY COMMUNITY, V13, P49, DOI 10.1111/cico.12050
   Lynam M. J., 2007, Critical Public Health, V17, P137, DOI 10.1080/09581590601045907
   Mader A., 2011, TEEB MANUAL CITIES E
   Manouchehri B, 2022, ENVIRON URBAN, V34, P497, DOI 10.1177/09562478221092688
   Marcos C, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.613819
   Martin DM, 2018, ENVIRON MANAGE, V62, P608, DOI 10.1007/s00267-018-1038-1
   Martins B, 2022, URBAN FOR URBAN GREE, V72, DOI 10.1016/j.ufug.2022.127571
   Mashhoodi B, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102810
   Mears M, 2019, GEOFORUM, V103, P126, DOI 10.1016/j.geoforum.2019.04.016
   Moss ED, 2021, LAND USE POLICY, V105, DOI 10.1016/j.landusepol.2021.105394
   Nesbitt L, 2019, URBAN FOR URBAN GREE, V44, DOI 10.1016/j.ufug.2019.126433
   Nyelele C, 2020, URBAN FOR URBAN GREE, V53, DOI 10.1016/j.ufug.2020.126723
   Olivero-Lora S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010117
   Ortiz MSO, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072165
   Pineda-Pinto M, 2022, URBAN POLICY RES, V40, P206, DOI 10.1080/08111146.2022.2093184
   Pineda-Pinto M, 2022, AMBIO, V51, P167, DOI 10.1007/s13280-021-01553-7
   Pineda-Pinto M, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2021.105361
   Pinto LV, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104072
   Pratt B, 2019, J EMPIR RES HUM RES, V14, P169, DOI 10.1177/1556264619833858
   Reuter TK, 2019, J HUM RIGHTS, V18, P382, DOI 10.1080/14754835.2019.1629887
   Reynolds K, 2015, ANTIPODE, V47, P240, DOI 10.1111/anti.12098
   Rigolon A, 2017, LANDSCAPE URBAN PLAN, V165, P73, DOI 10.1016/j.landurbplan.2017.05.007
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Schwarz K, 2018, SUSTAIN CITIES SOC, V41, P816, DOI 10.1016/j.scs.2018.06.026
   Seppelt R, 2011, J APPL ECOL, V48, P630, DOI 10.1111/j.1365-2664.2010.01952.x
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Shortly A, 2021, FOR TREES LIVELIHOOD, V30, P75, DOI 10.1080/14728028.2020.1863865
   Sikorska D, 2020, ENVIRON SCI POLICY, V108, P144, DOI 10.1016/j.envsci.2020.03.007
   Smaal SAL, 2021, AGR HUM VALUES, V38, P709, DOI 10.1007/s10460-020-10179-6
   Steenberg JWN, 2019, LANDSCAPE URBAN PLAN, V186, P24, DOI 10.1016/j.landurbplan.2019.02.006
   Stepniewska M, 2018, ECOSYST SERV, V33, P59, DOI 10.1016/j.ecoser.2018.08.010
   Stepniewska M, 2017, LAND USE POLICY, V69, P238, DOI 10.1016/j.landusepol.2017.09.026
   Stessens P, 2017, ECOSYST SERV, V28, P328, DOI 10.1016/j.ecoser.2017.10.016
   Suárez M, 2020, ENVIRON SCI POLICY, V108, P133, DOI 10.1016/j.envsci.2020.03.014
   Sultana R, 2020, MOBILITIES-UK, V15, P273, DOI 10.1080/17450101.2020.1713567
   Swapan MSH, 2017, CITIES, V61, P17, DOI 10.1016/j.cities.2016.11.003
   Tandaric N, 2022, LAND USE POLICY, V120, DOI 10.1016/j.landusepol.2022.106309
   TEEB Synthesis, 2010, The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A Synthesis of the Approach, Conclusions and Recommendations of TEEB
   Thornhill I, 2022, APPL GEOGR, V144, DOI 10.1016/j.apgeog.2022.102716
   Twecan D, 2022, LAND USE POLICY, V115, DOI 10.1016/j.landusepol.2022.106011
   United Nations, 2015, TRANSF OUR WORLD 203, P1
   Vaismoradi M, 2013, NURS HEALTH SCI, V15, P398, DOI 10.1111/nhs.12048
   van der Geest K, 2020, CLIMATIC CHANGE, V161, P109, DOI 10.1007/s10584-019-02648-7
   van der Jagt APN, 2021, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.583833
   Venter ZS, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103889
   Volin E, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126818
   Wang BJ, 2017, ECOSYST SERV, V27, P58, DOI 10.1016/j.ecoser.2017.07.018
   Wang D, 2015, LANDSCAPE URBAN PLAN, V133, P53, DOI 10.1016/j.landurbplan.2014.09.007
   Wang RY, 2022, CITIES, V129, DOI 10.1016/j.cities.2022.103815
   Weber R, 2023, AMBIO, V52, P631, DOI 10.1007/s13280-022-01808-x
   Wilkerson ML, 2018, ECOSYST SERV, V31, P102, DOI 10.1016/j.ecoser.2018.02.017
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wolff M, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106245
   Wong KoonKwai Wong KoonKwai, 2009, Managing Leisure, V14, P125, DOI 10.1080/13606710902752653
   Wu LF, 2020, FORESTS, V11, DOI 10.3390/f11121317
   Yang Q, 2022, SCI TOTAL ENVIRON, V807, DOI 10.1016/j.scitotenv.2021.150527
   Yuan YH, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091552
   Zaidi N, 2022, LOCAL ENVIRON, V27, P1059, DOI 10.1080/13549839.2022.2090533
   Zhang JG, 2021, URBAN FOR URBAN GREE, V65, DOI 10.1016/j.ufug.2021.127334
   Zhang R, 2021, APPL GEOGR, V135, DOI 10.1016/j.apgeog.2021.102555
   Zhang YR, 2022, LAND-BASEL, V11, DOI 10.3390/land11030350
   Zhang ZZ, 2022, URBAN FOR URBAN GREE, V67, DOI 10.1016/j.ufug.2021.127434
   Zuniga-Teran AA, 2021, ENVIRON SCI POLICY, V126, P234, DOI 10.1016/j.envsci.2021.10.001
   Zuniga-Teran AA, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113055
NR 130
TC 7
Z9 7
U1 19
U2 31
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD SEP
PY 2024
VL 144
AR 107266
DI 10.1016/j.landusepol.2024.107266
EA JUL 2024
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA XV5I9
UT WOS:001264462300001
DA 2025-04-22
ER

PT J
AU Gargiulo, C
   Battarra, R
   Tremiterra, MR
AF Gargiulo, Carmela
   Battarra, Rosaria
   Tremiterra, Maria Rosa
TI Coastal areas and climate change: A decision support tool for
   implementing adaptation measures
SO LAND USE POLICY
LA English
DT Article
DE Coastal flooding impacts; Urban planning; GIS-based tool
ID SEA-LEVEL RISE; VULNERABILITY ASSESSMENT; SOCIAL VULNERABILITY; DELPHI
   METHOD; CITIES; RESILIENCE; INDEX; SENSITIVITY; GOVERNANCE; STRATEGIES
AB Climate change will be one of the main global challenges in the future. In this context cities play a key role. If, on the one hand, cities cause climate change, on the other hand, they are the places where climate change impacts are most evident, as it deeply affects the quality of life of its inhabitants. Climate change impacts are particularly relevant for coastal areas. These are characterized by a higher concentration of buildings and people in comparison to inland areas. In particular, one of the forecasted effects of climate change in these areas is the increase in coastal flooding due to rising sea levels and storm surges. The implementation of strategies and actions for the adaptation of urban areas to the impacts of coastal flooding is essential to ensure the liveability of coastal communities. Urban planning plays a key role in cities' adaptation. However, even though the interest in this topic has been increasing, operative support and tools for planning urban adaptation in cities are in short supply, especially in coastal cities. In light of this, it has become necessary to focus on the definition of new tools responding to the needs of urban planning.
   Based on these observations, this paper, starting from the existing literature on coastal vulnerability indices, has developed a new index: the Coastal Resilience Index (CoRI). Thanks to the CoRI and to the use of technological innovations applied to urban planning (in particular, Geographic Information Systems), a decision support tool has been developed to identify adaptation measures aiming to reduce the impacts of coastal flooding, caused by rising sea levels and storm surges.
C1 [Gargiulo, Carmela; Tremiterra, Maria Rosa] Univ Naples Federico II, Dept Civil Architectural & Environm Engn, Ple V Tecchio 80, I-80125 Naples, Italy.
   [Battarra, Rosaria] CNR, Inst Studies Mediterranean ISMed, Via G Sanfelice 8, I-80134 Naples, Italy.
C3 University of Naples Federico II; Consiglio Nazionale delle Ricerche
   (CNR); Istituto di Studi sul Mediterraneo (ISMed-CNR)
RP Battarra, R (corresponding author), CNR, Inst Studies Mediterranean ISMed, Via G Sanfelice 8, I-80134 Naples, Italy.
EM rosaria.battarra@ismed.cnr.it
RI Gargiulo, Carmela/ABD-6287-2020
CR Abuodha Pamela A. O., 2010, Journal of Coastal Conservation, V14, P189, DOI 10.1007/s11852-010-0097-0
   Akan A.O., 2003, Urban hydrology, hydraulics, and stormwater quality: engineering applications and computer modeling
   [Anonymous], 2013, ROTTERDAM CLIMATE CH
   [Anonymous], CLIMATE READY BOSTON
   [Anonymous], GOVEMO TRASFORMAZION
   [Anonymous], REGIONAL SCI SERIES
   [Anonymous], COPENAGHEN CLIMATE A
   [Anonymous], 2008, MAPPING CLIMATE CHAN
   [Anonymous], PLAN STRING JUST CIT
   [Anonymous], CLIMATE READY E BOST
   [Anonymous], STAT PAP SER M
   [Anonymous], NATL ASSESSMENT COAS
   [Anonymous], 2021, GLOSS STAT TERMS
   [Anonymous], SAN FRANCISCO SEA LE
   [Anonymous], 2020, P ADV NEUR INF PROC
   [Anonymous], P ERSA 2011 51 C EUR
   [Anonymous], CLIMATE READY CHARLE
   [Anonymous], GESTIONE SISTEMI DRE
   [Anonymous], 2018, SMART RESILIENT TRAN, DOI DOI 10.1016/B978-0-12-811477-3.00002-X
   [Anonymous], THESIS
   [Anonymous], GIS TEORIA APPL PIAN
   [Anonymous], GOVEMO TRASFORMAZION
   [Anonymous], 2013, DEF FUNCT URB AR OEC
   Arneth A, 2019, Summary for Policymakers Climate Change 2013: The Physical Science Basis
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Balica SF, 2012, NAT HAZARDS, V64, P73, DOI 10.1007/s11069-012-0234-1
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   Braun B, 2011, NAT HAZARDS, V58, P771, DOI 10.1007/s11069-011-9752-5
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Conticelli E, 2018, TRIA, V11, P91, DOI 10.6092/2281-4574/5820
   COWEN DJ, 1988, PHOTOGRAMM ENG REM S, V54, P1551
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Delbecq A.L., 1975, Group techniques for program planning: A guide to nominal group and Delphi process
   Dempsey N, 2010, FUTURE CITY, V2, P21, DOI 10.1007/978-1-4020-8647-2_2
   EEA, 2012, EEA Report No 2
   Erikson L, 2018, J MAR SCI ENG, V6, DOI 10.3390/jmse6030076
   Etinay N, 2018, PROCEDIA ENGINEER, V212, P575, DOI 10.1016/j.proeng.2018.01.074
   European Commission, 2012, 012012 RF EUR COMM
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Goklany I. M., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P755, DOI 10.1007/s11027-007-9098-1
   Goodchild M, 2000, ANN ASSOC AM GEOGR, V90, P344, DOI 10.1111/0004-5608.00198
   GORNITZ V, 1991, GLOBAL PLANET CHANGE, V89, P379, DOI 10.1016/0921-8181(91)90118-G
   Graham S, 2014, GLOBAL ENVIRON CHANG, V29, P41, DOI 10.1016/j.gloenvcha.2014.07.013
   Guillard-Gonçalves C, 2015, J RISK RES, V18, P651, DOI 10.1080/13669877.2014.910689
   ISTAT, 2017, FORM LIV DIN URB IT
   Joakim EP, 2015, ENVIRON HAZARDS-UK, V14, P137, DOI 10.1080/17477891.2014.1003777
   Joint Research Centre-European Commission (JRC), 2008, HDB CONSTRUCTING COM
   Karymbalis E, 2012, CENT EUR J GEOSCI, V4, P561, DOI 10.2478/s13533-012-0101-3
   Kleinosky LR, 2007, NAT HAZARDS, V40, P43, DOI 10.1007/s11069-006-0004-z
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Kousky C, 2003, CLIM POLICY, V3, P359, DOI 10.1016/j.clipol.2003.08.002
   Landeta J, 2006, TECHNOL FORECAST SOC, V73, P467, DOI 10.1016/j.techfore.2005.09.002
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Lee Y., 2014, J BUILDING CONSTRUCT, V2, P74, DOI DOI 10.4236/JBCPR.2014.21007
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li K, 2011, NAT HAZARD EARTH SYS, V11, P2003, DOI 10.5194/nhess-11-2003-2011
   Lloyd MG, 2013, LAND USE POLICY, V30, P925, DOI 10.1016/j.landusepol.2012.06.012
   [Mach K.J. IPCC IPCC], 2014, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McLaughlin S, 2010, ENVIRON HAZARDS-UK, V9, P233, DOI 10.3763/ehaz.2010.0052
   Mcloughlin J.B., 1969, Urban and Regional Planning: A Systems Approach
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mitchell D, 2015, LAND USE POLICY, V48, P190, DOI 10.1016/j.landusepol.2015.05.026
   Mu E, 2018, SPRINGER OPER RES, P7, DOI 10.1007/978-3-319-68369-0_2
   Murgante B, 2009, STUD COMPUT INTELL, V176, P1, DOI 10.1007/978-3-540-89930-3
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P69, DOI 10.1016/j.gloenvcha.2003.10.007
   Nicholls RJ, 2008, SUSTAIN SCI, V3, P89, DOI 10.1007/s11625-008-0050-4
   OECD, 2012, REDEFINING URBAN NEW, DOI DOI 10.1787/9789264174108-EN
   Palmer BJ, 2011, J COASTAL RES, P1390
   Papa R, 2015, TEMA, V8, P19, DOI 10.6092/1970-9870/2883
   Podvezko V, 2009, J BUS ECON MANAG, V10, P181, DOI 10.3846/1611-1699.2009.10.181-189
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   ROWE WD, 1994, RISK ANAL, V14, P743, DOI 10.1111/j.1539-6924.1994.tb00284.x
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Saaty T.L., 1980, ANAL HIERARCHY PROCE
   Saaty TL, 2012, DECISION MAKING THEORIES AND PRACTICES FROM ANALYSIS TO STRATEGY, P100, DOI 10.4018/978-1-4666-1589-2.ch006
   Saraswat C, 2016, ENVIRON SCI POLICY, V64, P101, DOI 10.1016/j.envsci.2016.06.018
   Shaw J., 1998, Sensitivity of the coasts of Canada to sea-level rise p, P114
   Skulmoski GJ, 2007, J INF TECHNOL EDUC-R, V6, P1
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   Tapsell SM, 2002, PHILOS T R SOC A, V360, P1511, DOI 10.1098/rsta.2002.1013
   Tate E, 2010, ENVIRON PLANN B, V37, P646, DOI 10.1068/b35157
   Torresan S, 2008, SUSTAIN SCI, V3, P45, DOI 10.1007/s11625-008-0045-1
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   van Dongeren A, 2018, COAST ENG, V134, P2, DOI 10.1016/j.coastaleng.2017.10.007
   von Bertalanffy L., 1969, General Systems Theory: Foundations, Development, Applications (Revised Edition)
   Wahl T, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8eba
   Wang RQ, 2018, EARTHS FUTURE, V6, P677, DOI 10.1002/2017EF000742
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Wellmann T, 2018, ECOL INDIC, V85, P190, DOI 10.1016/j.ecolind.2017.10.029
   Wu SY, 2002, CLIM RES, V22, P255, DOI 10.3354/cr022255
   Zanetti VB, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080811
NR 100
TC 30
Z9 32
U1 3
U2 63
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD FEB
PY 2020
VL 91
AR 104413
DI 10.1016/j.landusepol.2019.104413
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KH9GX
UT WOS:000510958200034
DA 2025-04-22
ER

PT J
AU Yan, P
   Zhang, FM
   Zhang, F
   Geng, LN
AF Yan, Peng
   Zhang, Fengmin
   Zhang, Fan
   Geng, Linna
TI A Systematic Review and Conceptual Framework of Urban Infrastructure
   Cascading Disasters Using Scientometric Methods
SO BUILDINGS
LA English
DT Review
DE urban infrastructure; cascading disasters; CiteSpace; scientometric
   analysis
ID RESILIENCE ASSESSMENT FRAMEWORK; INTERDEPENDENT INFRASTRUCTURES;
   VULNERABILITY ASSESSMENT; EMERGENCY MANAGEMENT; POWER; NETWORKS; RISK;
   ROBUSTNESS; SIMULATION; FAILURES
AB Urban infrastructure, the lifeline of modern society, consists of inherently multidimensional and interdependent systems that extend beyond various engineered facilities, utilities, and networks. The increasing frequency of extreme events, like floods, typhoons, power outages, and technical failures, has heightened the vulnerability of these infrastructures to cascading disasters. Over the past decade, significant attention has been devoted to understanding urban infrastructure cascading disasters. However, most of them have been limited by one-sided and one-dimensional analyses. A more systematic and scientific methodology is needed to comprehensively profile existing research on urban infrastructure cascading disasters to address this gap. This paper uses scientometric methods to investigate the state-of-the-art research in this area over the past decade. A total of 165 publications from 2014 to 2023 were retrieved from the Web of Science database for in-depth analysis. It has revealed a shift in research focus from single infrastructures to complex, interconnected systems with multidimensional dependencies. In addition, the study of disaster-causing factors has evolved from internal infrastructure failures to a focus on cascading disasters caused by extreme events, highlighting a trend of multi-factor coupling. Furthermore, predicting and modeling cascading disasters, improving infrastructure resilience, and information sharing for collaborative emergency responses have emerged as key strategies in responding to disasters. Overall, the insights gained from this study enhance our understanding of the evolution and current challenges in urban infrastructure cascading disasters. Additionally, this study offers valuable perspectives and directions for policymakers addressing extreme events in this critical area.
C1 [Yan, Peng; Zhang, Fengmin] Tianjin Chengjian Univ, Coll Management & Econ, Tianjin 300072, Peoples R China.
   [Zhang, Fan] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Peoples R China.
   [Geng, Linna] Western Sydney Univ, Sch Engn Design & Built Environm, Sydney, NSW 2747, Australia.
C3 Tianjin Chengjian University; Hong Kong Polytechnic University; Western
   Sydney University
RP Geng, LN (corresponding author), Western Sydney Univ, Sch Engn Design & Built Environm, Sydney, NSW 2747, Australia.
EM yanppeng@tju.edu.cn; zz13132557597@126.com; fan-2.zhang@polyu.edu.hk;
   l.geng@westernsydney.edu.au
FU Scientific research project of the Tianjin Municipal Education
   Commission [2020SK064]
FX This work was supported by the Scientific research project of the
   Tianjin Municipal Education Commission (2020SK064).
CR Aalirezaei A, 2023, INT J CRIT INFR PROT, V43, DOI 10.1016/j.ijcip.2023.100638
   Abdeen FN, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102399
   AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   Ahamed MS, 2023, PROG DISASTER SCI, V18, DOI 10.1016/j.pdisas.2023.100285
   Alcántara-Ayala I, 2025, LANDSLIDES, DOI 10.1007/s10346-024-02451-1
   Aros-Vera F, 2025, SOCIO-ECON PLAN SCI, V97, DOI 10.1016/j.seps.2024.102105
   Azam A, 2021, J CLEAN PROD, V295, DOI 10.1016/j.jclepro.2021.126496
   Balakrishnan S, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103963
   Baloye DO, 2017, DISASTER PREV MANAG, V26, P162, DOI 10.1108/DPM-10-2015-0231
   Barquet K, 2024, DISASTERS, V48, DOI 10.1111/disa.12591
   Bashan A, 2013, NAT PHYS, V9, P667, DOI 10.1038/NPHYS2727
   Berariu R, 2015, INT J DISAST RISK RE, V12, P350, DOI 10.1016/j.ijdrr.2015.03.005
   Breeze J, 2023, BMJ MILITARY HEALTH, V169, P565, DOI 10.1136/bmjmilitary-2021-002052
   Bristow EC, 2013, J WATER RES PL, V139, P376, DOI 10.1061/(ASCE)WR.1943-5452.0000283
   Chen CM, 2006, J AM SOC INF SCI TEC, V57, P359, DOI 10.1002/asi.20317
   Chen HR, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17165986
   Cheng QM, 2017, J EARTH SCI-CHINA, V28, P131, DOI 10.1007/s12583-017-0746-4
   Cimellaro GP, 2014, EARTHQ ENG STRUCT D, V43, P1763, DOI 10.1002/eqe.2422
   Codetta-Raiteri D, 2012, ENG APPL ARTIF INTEL, V25, P683, DOI 10.1016/j.engappai.2010.06.005
   Correa GJ, 2014, ENERG CONVERS MANAGE, V77, P408, DOI 10.1016/j.enconman.2013.10.011
   Cuadra L, 2015, ENERGIES, V8, P9211, DOI 10.3390/en8099211
   Cuartas JB, 2021, NAT HAZARDS, V108, P2919, DOI 10.1007/s11069-021-04807-5
   De la Ree J, 2005, P IEEE, V93, P956, DOI 10.1109/JPROC.2005.847246
   Dhakal S, 2023, NAT HAZARDS REV, V24, DOI 10.1061/(ASCE)NH.1527-6996.0000597
   Ding X, 2022, ELECTRON COMMER RES, V22, P787, DOI 10.1007/s10660-020-09410-7
   Dong SJ, 2020, COMPUT-AIDED CIV INF, V35, P668, DOI 10.1111/mice.12527
   Duan SS, 2020, ASCE-ASME J RISK U A, V6, DOI 10.1061/AJRUA6.0001021
   Dui H, 2023, COMPUT IND ENG, V179, DOI 10.1016/j.cie.2023.109158
   Earl N, 2019, WEATHER, V74, P301, DOI 10.1002/wea.3384
   Fekete A, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1370
   Galbusera L, 2018, INT J DISAST RISK RE, V30, P186, DOI 10.1016/j.ijdrr.2018.04.030
   Gao JX, 2015, ENERGIES, V8, P12187, DOI 10.3390/en81012187
   Gao JX, 2014, NATL SCI REV, V1, P346, DOI 10.1093/nsr/nwu020
   Geng LN, 2023, ENG CONSTR ARCHIT MA, V30, P4464, DOI 10.1108/ECAM-10-2021-0896
   Geng LN, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10217659
   Gim C, 2022, CURR OPIN ENV SUST, V57, DOI 10.1016/j.cosust.2022.101203
   Goldbeck N, 2019, RELIAB ENG SYST SAFE, V188, P62, DOI 10.1016/j.ress.2019.03.007
   Gong ST, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103862
   Gong ZW, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101385
   Guo HD, 2017, RENEW SUST ENERG REV, V80, P9, DOI 10.1016/j.rser.2017.05.206
   Gursan C, 2023, CITIES, V140, DOI 10.1016/j.cities.2023.104397
   Hafeznia H, 2023, APPL ENERG, V349, DOI 10.1016/j.apenergy.2023.121558
   Hassan R, 2022, J TRANSP ENG A-SYST, V148, DOI 10.1061/JTEPBS.0000705
   Havlin S, 2014, EUR PHYS J-SPEC TOP, V223, P2087, DOI 10.1140/epjst/e2014-02251-6
   Hawkins CV, 2023, J HOUS BUILT ENVIRON, V38, P1911, DOI 10.1007/s10901-023-10020-6
   He QH, 2017, INT J PROJ MANAG, V35, P670, DOI 10.1016/j.ijproman.2016.08.001
   Herath P, 2024, SUSTAIN SCI, V19, P1039, DOI 10.1007/s11625-024-01475-9
   Hong S, 2015, J PHYS A-MATH THEOR, V48, DOI 10.1088/1751-8113/48/48/485101
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hsu CH, 2021, KSCE J CIV ENG, V25, P3650, DOI 10.1007/s12205-021-1938-0
   Hu D, 2024, INT J COMP METH-SING, DOI 10.1142/S021987622450066X
   Huggins TJ, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17145175
   Imani M, 2020, WATER SCI TECHNOL, V81, P1420, DOI 10.2166/wst.2019.367
   Jia L, 2022, NAT HAZARDS, V110, P1097, DOI 10.1007/s11069-021-04981-6
   Junjia Y, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151511803
   Kadri F, 2014, J HOMEL SECUR EMERG, V11, P217, DOI 10.1515/jhsem-2012-0077
   Kamissoko D, 2019, STRUCT INFRASTRUCT E, V15, P427, DOI 10.1080/15732479.2018.1546327
   Kelman I, 2023, PROG DISASTER SCI, V18, DOI 10.1016/j.pdisas.2023.100282
   Korkali M, 2017, SCI REP-UK, V7, DOI 10.1038/srep44499
   Kruse PM, 2021, CLIMATIC CHANGE, V165, DOI 10.1007/s10584-021-03019-x
   Kumar MP, 2010, DISASTER ADV, V3, P7
   Lawrence J, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100234
   Lee S, 2020, RELIAB ENG SYST SAFE, V197, DOI 10.1016/j.ress.2020.106796
   Li JZ, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101266
   Li TH, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205633
   Li YN, 2022, ENERG BUILDINGS, V258, DOI 10.1016/j.enbuild.2021.111822
   Liao WX, 2017, IEEE INTERNET THINGS, V4, P2247, DOI 10.1109/JIOT.2017.2761353
   Liu WQ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12060759
   Liu XM, 2015, CHAOS SOLITON FRACT, V80, P125, DOI 10.1016/j.chaos.2015.08.009
   Liu ZG, 2015, SCIENTOMETRICS, V103, P135, DOI 10.1007/s11192-014-1517-y
   Locatelli G, 2017, INT J PROJ MANAG, V35, P252, DOI 10.1016/j.ijproman.2016.09.010
   Loggins RA, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000249
   Lu LQ, 2018, COMPUT-AIDED CIV INF, V33, P300, DOI 10.1111/mice.12347
   Lu W, 2020, J INFORMETR, V14, DOI 10.1016/j.joi.2020.101066
   Lu XL, 2019, J RISK RES, V22, P1425, DOI 10.1080/13669877.2018.1476901
   Luo Q, 2024, BUILDINGS-BASEL, V14, DOI 10.3390/buildings14123786
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Menoni S, 2013, ING SISMICA-ITAL, V30, P94
   Merkes ST, 2024, INT J DISAST RISK RE, V106, DOI 10.1016/j.ijdrr.2024.104459
   Mignan A, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17197317
   Mishra V, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104352
   Molenveld A, 2019, WATER-SUI, V11, DOI 10.3390/w11122563
   Muehlhofer E, 2023, RELIAB ENG SYST SAFE, V234, DOI 10.1016/j.ress.2023.109194
   Oliver N, 2017, ORGAN SCI, V28, P729, DOI 10.1287/orsc.2017.1138
   Omidvar B, 2014, NAT HAZARDS, V71, P1971, DOI 10.1007/s11069-013-0990-6
   Osei-Kyei R, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102316
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Pahwa S, 2014, SCI REP-UK, V4, DOI 10.1038/srep03694
   Pescaroli G, 2017, J CONTING CRISIS MAN, V25, P56, DOI 10.1111/1468-5973.12118
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Presekal A, 2023, IEEE T SMART GRID, V14, P4007, DOI 10.1109/TSG.2023.3237011
   Qie ZJ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103102
   Qin XL, 2023, ADV CLIM CHANG RES, V14, P458, DOI 10.1016/j.accre.2023.05.005
   Rahimi-Golkhandan A, 2022, SOCIO-ECON PLAN SCI, V80, DOI 10.1016/j.seps.2021.101166
   Rahman HMT, 2024, ENVIRON HAZARDS-UK, DOI 10.1080/17477891.2024.2323105
   Rahnamay-Naeini M, 2016, IEEE T SMART GRID, V7, P1997, DOI 10.1109/TSG.2016.2539823
   Ren H, 2015, ELECTR POW SYST RES, V124, P173, DOI 10.1016/j.epsr.2015.03.009
   Rubin C.B., 2019, Built Environment, Geography, Politics International Relations, Urban Studies, P290
   Salama M, 2022, J INFRASTRUCT SYST, V28, DOI 10.1061/(ASCE)IS.1943-555X.0000677
   Savitzky S, 2018, MOBILITIES-UK, V13, P662, DOI 10.1080/17450101.2018.1466505
   Shao HM, 2021, LAND-BASEL, V10, DOI 10.3390/land10070711
   Shekhtman LM, 2018, CR PHYS, V19, P233, DOI 10.1016/j.crhy.2018.09.005
   Shi YL, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133716
   Shuang Q, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088445
   Singh VK, 2021, SCIENTOMETRICS, V126, P5113, DOI 10.1007/s11192-021-03948-5
   Spraktes F, 2024, J HOMEL SECUR EMERG, V21, P99, DOI 10.1515/jhsem-2022-0025
   Stergiopoulos G, 2016, INT J CRIT INFR PROT, V12, P46, DOI 10.1016/j.ijcip.2015.12.002
   Stergiopoulos G, 2015, INT J CRIT INFR PROT, V10, P34, DOI 10.1016/j.ijcip.2015.05.003
   Su HN, 2010, SCIENTOMETRICS, V85, P65, DOI 10.1007/s11192-010-0259-8
   Sun CC, 2018, INT J ELEC POWER, V99, P45, DOI 10.1016/j.ijepes.2017.12.020
   Sun JY, 2024, J APPL COMMUN RES, V52, P318, DOI 10.1080/00909882.2024.2341082
   Sun L, 2024, URBAN CLIM, V55, DOI 10.1016/j.uclim.2024.101903
   Suppasri A, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102597
   Terti G., 2019, P ADV HYDR SIMH 2019, P103
   Tiedmann HR, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104417
   Toscano B, 2022, INT J CRIT INFRASTRU, V18, P79, DOI 10.1504/IJCIS.2022.120679
   Tugaç Ç, 2023, SUSTAIN RESIL INFRAS, V8, P190, DOI 10.1080/23789689.2022.2138162
   Valdez LD, 2020, J COMPLEX NETW, V8, DOI 10.1093/comnet/cnaa013
   Wang B, 2022, J CONSTR ENG M, V148, DOI 10.1061/(ASCE)CO.1943-7862.0002381
   Wang F, 2022, AUTOMAT CONSTR, V133, DOI 10.1016/j.autcon.2021.104008
   Wang J, 2019, RELIAB ENG SYST SAFE, V183, P360, DOI 10.1016/j.ress.2018.11.029
   Wang QH, 2022, ENVIRON RES COMMUN, V4, DOI 10.1088/2515-7620/ac47d4
   Wu BC, 2016, RELIAB ENG SYST SAFE, V147, P1, DOI 10.1016/j.ress.2015.10.019
   Wu J., 2019, WATER-SUI, V11, DOI [10.3390/w11091908, DOI 10.3390/w11091908]
   Wu YQ, 2022, FRONT PHYS-LAUSANNE, V10, DOI 10.3389/fphy.2022.912569
   Xian H, 2018, RELIAB ENG SYST SAFE, V177, P162, DOI 10.1016/j.ress.2018.04.029
   Xie M, 2025, BUILDINGS-BASEL, V15, DOI 10.3390/buildings15020296
   Yabe T, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103237
   Yang Z, 2023, RELIAB ENG SYST SAFE, V229, DOI 10.1016/j.ress.2022.108888
   Yang ZY, 2023, INT J CRIT INFR PROT, V42, DOI 10.1016/j.ijcip.2023.100616
   Yao C, 2023, J INFRASTRUCT SYST, V29, DOI 10.1061/JITSE4.ISENG-1677
   Yilmaz Y, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108086
   Yu F, 2020, J CONTING CRISIS MAN, V28, P194, DOI 10.1111/1468-5973.12314
   Yu F, 2018, INT J DISAST RISK RE, V30, P244, DOI 10.1016/j.ijdrr.2018.04.012
   Zaidi RZ, 2018, INT J DISAST RISK RE, V30, P306, DOI 10.1016/j.ijdrr.2018.03.022
   Zhang C, 2018, SAFETY SCI, V102, P169, DOI 10.1016/j.ssci.2017.10.014
   Zhang J, 2022, LAND-BASEL, V11, DOI 10.3390/land11030331
   Zhang W, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130144
   Zhang YL, 2023, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-023-29712-1
   Zhou F, 2019, ARAB J SCI ENG, V44, P2837, DOI 10.1007/s13369-018-3656-6
   Zio E, 2011, IEEE T RELIAB, V60, P94, DOI 10.1109/TR.2010.2104211
NR 141
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD MAR 21
PY 2025
VL 15
IS 7
AR 1011
DI 10.3390/buildings15071011
PG 27
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 1FT0R
UT WOS:001463960500001
OA gold
DA 2025-04-22
ER

PT J
AU Liu, HJ
   Love, PED
   Sing, MCP
   Niu, BZ
   Zhao, JF
AF Liu, Henry J.
   Love, Peter E. D.
   Sing, Michael C. P.
   Niu, Baozhuang
   Zhao, Jianfeng
TI Conceptual framework of life-cycle performance measurement: Ensuring the
   resilience of transport infrastructure assets
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Climate change; Performance measurement; Transport infrastructure;
   Resilience
ID ORGANIZATIONAL CULTURE; CLIMATE-CHANGE; VULNERABILITY; MANAGEMENT;
   CITIES; CAPACITY; SYSTEMS; RISK
AB Having efficient and effective transport infrastructure (e.g. bridges, roads, railways, airways and tunnels) in place is essential for supporting the economic and social well-being of an economy. External disturbances that emerge as a result of climate change, for example, are impacting its performance. Delivering, managing and maintaining transport assets that are resilient and adaptive to changing environmental conditions have become a priority for many governments worldwide. Central to ensuring that transport infrastructure functions at their optimum and is resilient to external changes is performance measurement, as it enables those processes that need to be modified and improved for enhancing the asset's adaptability throughout their lifecycle to be identified. Despite the importance of performance measurement in ensuring the resilience of transport infrastructure, it has received limited attention by governments in their policy making. Therefore, this paper provides a review of the extant literature and proposes a life-cycle resilient performance measurement framework (PMF) within transport context. The developed PMF is robust in comprehensively capturing the underlying perspectives that are significant for: (1) understanding the current state of the resilient level of transport assets; and (2) enabling a higher ability of the assets to adapt to environment-related changes in the future. The implications of the proposed framework for transport policy development are also discussed in this paper.
C1 [Liu, Henry J.; Zhao, Jianfeng] Northumbria Univ, Dept Architecture & Built Environm, Sutherland Bldg,City Campus, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
   [Love, Peter E. D.] Curtin Univ, Sch Civil & Mech Engn, GPO Box U1987, Perth, WA 6845, Australia.
   [Sing, Michael C. P.] Univ Newcastle, Sch Architecture & Built Environm, Callaghan, NSW 2308, Australia.
   [Niu, Baozhuang] South China Univ Technol, Dept Ind Engn, Guangzhou, Guangdong, Peoples R China.
C3 Northumbria University; Curtin University; University of Newcastle;
   South China University of Technology
RP Liu, HJ (corresponding author), Northumbria Univ, Dept Architecture & Built Environm, Sutherland Bldg,City Campus, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.; Niu, BZ (corresponding author), South China Univ Technol, Dept Ind Engn, Guangzhou, Guangdong, Peoples R China.
EM henry.liu@northumbria.ac.uk; p.love@curtin.edu.au; bmniubz@scut.edu.cn
RI Niu, Baozhuang/HMD-9527-2023; Sing, Michael/O-2180-2015
OI SING, Chun Pong/0000-0003-3526-0702; Liu, Henry/0000-0003-0765-3584;
   Niu, Baozhuang/0000-0002-7374-9835; Zhao, Jianfeng/0000-0002-1140-7901
CR ABS, 2017, AUSTR NAT ACC NAT IN
   Adams TM, 2012, J TRANSP ENG, V138, P1403, DOI 10.1061/(ASCE)TE.1943-5436.0000415
   Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   [Anonymous], 2011, Keeping the Country Running: Natural Hazards and Infrastructure
   [Anonymous], 2014, MEASURING RESILIENCE
   Australian Government, 2014, TRENDS INFR TRANSP 2
   Australian Government, 2017, TRUST INF SHAR NETW
   Balsas CJL, 2014, CITIES, V36, P158, DOI 10.1016/j.cities.2012.10.002
   Baroud H, 2014, TRANSPORT RES E-LOG, V62, P55, DOI 10.1016/j.tre.2013.11.010
   Becker A, 2015, COAST MANAGE, V43, P1, DOI 10.1080/08920753.2014.983422
   Becker AH, 2015, PROG PLANN, V99, P1, DOI 10.1016/j.progress.2013.11.002
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Biringer B., 2013, Critical Infrastructure System Security and Resiliency, DOI DOI 10.1201/B14566
   Bititci US, 2006, INT J OPER PROD MAN, V26, P1325, DOI 10.1108/01443570610710579
   Bosher L, 2011, DISASTERS, V35, P1, DOI 10.1111/j.1467-7717.2010.01189.x
   Bourne M, 2000, INT J OPER PROD MAN, V20, P754, DOI 10.1108/01443570010330739
   Bourne M., 1999, CONTROL, P21
   Bracci E, 2017, FINANC ACCOUNT MANAG, V33, P406, DOI 10.1111/faam.12131
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruyelle JL, 2014, SAFETY SCI, V62, P37, DOI 10.1016/j.ssci.2013.07.022
   Cabinet Office, 2016, STEPS INCR COMM RES
   Cabinet Office, 2017, PUBL SUMM SECT SEC R
   Chang WJ, 2017, KNOWL MAN RES PRACT, V15, P471, DOI 10.1057/s41275-016-0042-6
   Charpentier A., 2014, NSW Code of Practice: How to Manage Work Health and Safety Risks
   Chmutina K, 2016, CITIES, V58, P70, DOI 10.1016/j.cities.2016.05.017
   City of Ottawa, 2012, OTT IGHT RAIL TRANSF
   Cooper C L., 2014, The International Journal of Human Resource Management, V25, P2466, DOI DOI 10.1080/09585192.2014.926688
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   Cropley D, 2017, EUR J INNOV MANAG, V20, P493, DOI 10.1108/EJIM-12-2016-0120
   Curry LA, 2011, ANN INTERN MED, V154, P384, DOI 10.7326/0003-4819-154-6-201103150-00003
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dixon N.M., 1999, ORG LEARNING CYCLE W
   Dobie S, 2017, 2017 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST)
   Emmanuel R, 2012, BUILD ENVIRON, V53, P137, DOI 10.1016/j.buildenv.2012.01.020
   EPA, 2015, GLOSS CLIM CHANG TER
   European Commission, 2018, EU INV NEARL 700 MIL
   Everly G. S., 2011, Harvard Business Review
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Franco-Santos M, 2012, MANAGE ACCOUNT RES, V23, P79, DOI 10.1016/j.mar.2012.04.001
   Fraser A., 2017, Supporting governance for climate resilience: working with political institutions
   Giezen M, 2015, TRANSPORT POLICY, V44, P169, DOI 10.1016/j.tranpol.2015.08.006
   Gunasekaran A, 2007, INT J PROD RES, V45, P2819, DOI 10.1080/00207540600806513
   Hallet S., 2013, COMMUNITY RESILIENCE, P110
   Hellström T, 2007, SAFETY SCI, V45, P415, DOI 10.1016/j.ssci.2006.07.007
   Highways England, 2016, ACC STRAT OUR APPR
   HM Government, 2011, CLIM RES INFR PREP C
   Ho C., 2020, The future of transport resilience
   Hock M, 2016, R&D MANAGE, V46, P433, DOI 10.1111/radm.12153
   Ingirige B, 2016, CONSTR MANAG ECON, V34, P592, DOI 10.1080/01446193.2016.1200735
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Johansen C, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000329
   Kaplan F, 1999, TLS-TIMES LIT SUPPL, P17
   KAPLAN RS, 1992, HARVARD BUS REV, V70, P71
   Lengnick-Hall CA, 2011, HUM RESOUR MANAGE R, V21, P243, DOI 10.1016/j.hrmr.2010.07.001
   Li VC, 2012, J ADV CONCR TECHNOL, V10, P207, DOI 10.3151/jact.10.207
   Liu HJ, 2018, PROD PLAN CONTROL, V29, P68, DOI 10.1080/09537287.2017.1382740
   Liu JX, 2016, J MANAGE ENG, V32, DOI 10.1061/(ASCE)ME.1943-5479.0000433
   Liu JX, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000210
   Love P.E.D., 1998, CONSTR MANAG ECON, V16, P221, DOI 10.1080/014461998372501
   Love PED, 2018, TRANSPORT RES A-POL, V110, P161, DOI 10.1016/j.tra.2018.02.014
   Love PED, 2017, TRANSPORT RES A-POL, V100, P27, DOI 10.1016/j.tra.2017.04.002
   MacDonald Mott, 2017, RESILIENT CITIES PRE
   Madni AM, 2009, IEEE SYST J, V3, P181, DOI 10.1109/JSYST.2009.2017397
   Mansouri M, 2010, MAR POLICY, V34, P1125, DOI 10.1016/j.marpol.2010.03.012
   Martins E.C., 2003, EUR J INNOV MANAG, V6, P64, DOI [10.1108/14601060310456337, DOI 10.1108/14601060310456337]
   McBain W., 2010, Flood resilience and resistance for critical infrastructure
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   Minaie E, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000374
   NCCARF, 2013, CLIM PROOF AUSTR INF
   Neely A., 2001, MEAS BUS EXCELL, V5, P6, DOI DOI 10.1108/13683040110385142
   Nierop SCA, 2014, ENVIRON SCI POLICY, V40, P78, DOI 10.1016/j.envsci.2014.04.011
   Omer M, 2012, MARIT POLICY MANAG, V39, P685, DOI 10.1080/03088839.2012.689878
   Orsato RJ, 2019, ORGAN ENVIRON, V32, P416, DOI 10.1177/1086026618775325
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Regan M, 2017, CASE STUD TRANSP POL, V5, P267, DOI 10.1016/j.cstp.2017.01.003
   Reggiani A, 2013, TRANSPORT POLICY, V28, P63, DOI 10.1016/j.tranpol.2012.09.007
   Reggiani A, 2015, TRANSPORT RES A-POL, V81, P4, DOI 10.1016/j.tra.2014.12.012
   Robey D., 2000, ACCOUNTING MANAGEMEN, V10, P125
   Sage D, 2015, ENVIRON PLANN D, V33, P494, DOI 10.1177/0263775815594299
   Seppänen H, 2018, INT J CRIT INFR PROT, V22, P25, DOI 10.1016/j.ijcip.2018.05.002
   Sircar I, 2013, FUTURES, V49, P49, DOI 10.1016/j.futures.2013.04.003
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Suryanto B, 2015, PROCEDIA ENGINEER, V125, P796, DOI 10.1016/j.proeng.2015.11.139
   Taylor A, 2016, INT J CLIM CHANG STR, V8, P194, DOI 10.1108/IJCCSM-03-2014-0033
   Thayaparan M., 2016, A resilience framework for critical infrastructure
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Venkittaraman A, 2014, EARTHQ ENG STRUCT D, V43, P1173, DOI 10.1002/eqe.2392
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Westrum R., 2009, HDB PATIENT SAFETY E
   Westrum R, 2014, SAFETY SCI, V67, P58, DOI 10.1016/j.ssci.2014.01.009
   Wilkinson S., 2013, RECONSTRUCTION STAGE
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 97
TC 28
Z9 30
U1 5
U2 72
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1361-9209
EI 1879-2340
J9 TRANSPORT RES D-TR E
JI Transport. Res. Part D-Transport. Environ.
PD DEC
PY 2019
VL 77
BP 615
EP 626
DI 10.1016/j.trd.2019.10.002
PG 12
WC Environmental Studies; Transportation; Transportation Science &
   Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Transportation
GA JW5NT
UT WOS:000503099300043
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Bakhshipour, AE
   Dittmer, U
   Haghighi, A
   Nowak, W
AF Bakhshipour, Amin E.
   Dittmer, Ulrich
   Haghighi, Ali
   Nowak, Wolfgang
TI Toward Sustainable Urban Drainage Infrastructure Planning: A Combined
   Multiobjective Optimization and Multicriteria Decision-Making Platform
SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
LA English
DT Article
DE Urban drainage systems; Hybrid green-blue-gray infrastructures;
   (de)centralization (DC); Multicriteria decision making (MCDM);
   Multiobjective optimization (MOO); Stakeholder engagement
ID LOW IMPACT DEVELOPMENT; MANAGEMENT-PRACTICES; EVOLUTIONARY ALGORITHMS;
   WATER MANAGEMENT; LID PRACTICES; STORMWATER; RESILIENCE; GREEN;
   RELIABILITY; SYSTEMS
AB This study aims to introduce a generic solution in the context of a multicriteria decision making (MCDM) platform to (1) facilitate the optimization of hybrid (de)centralized urban drainage infrastructures with many decisions and often conflicting objectives (reliability, resilience, sustainability, and construction costs); (2) investigate the trade-offs between performance indicators and system configuration; and (3) avoid conflicts between optimization analysts and decision makers by involving the latter in different stages of planning. For this purpose, first, all optimum design scenarios of hybrid urban drainage systems (UDSs) are generated through multiobjective optimization (MOO). Then a platform based on MCDM is presented to comprehensively analyze the solutions found by MOO and to rank the solutions. For the sake of demonstration, the proposed framework is applied to a real case study. The results confirm the ability of the proposed framework in handling many decisions, objectives, and indicators for solving a complex optimization problem in a reasonable time by delivering realistic solutions. In addition, the results demonstrate the important role of the degree of (de)centralization (DC) and the layout configuration in obtaining optimal solutions.
C1 [Bakhshipour, Amin E.; Dittmer, Ulrich] Univ Kaiserslautern, Inst Urban Water Management, Dept Civil Engn, D-67663 Kaiserslautern, Germany.
   [Haghighi, Ali] Shahid Chamran Univ Ahvaz, Fac Civil Engn & Architecture, Ahvaz 61357831351, Iran.
   [Nowak, Wolfgang] Univ Stuttgart, Fac Civil & Environm Engn, Dept Stochast Simulat & Safety Res LS3, D-70569 Stuttgart, Germany.
C3 University of Kaiserslautern; Shahid Chamran University of Ahvaz;
   University of Stuttgart
RP Bakhshipour, AE (corresponding author), Univ Kaiserslautern, Inst Urban Water Management, Dept Civil Engn, D-67663 Kaiserslautern, Germany.
EM amin.bakhshipour@bauing.uni-kl.de
RI Haghighi, Ali/AAS-7665-2020; Dittmer, Ulrich/AAZ-2605-2020; Bakhshipour,
   Amin/ABC-3464-2020; Nowak, Wolfgang/C-6487-2011
OI Haghighi, Ali/0000-0002-2765-6929; Nowak, Wolfgang/0000-0003-2583-8865;
   E. Bakhshipour, Amin/0000-0002-6921-2381
FU BMBF-DAAD Sustainable Water Management: Study Scholarships and Research
   Grants 2015 [57156376]
FX This study was supported by BMBF-DAAD Sustainable Water Management:
   Study Scholarships and Research Grants 2015 (57156376).
CR Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   Alves A, 2016, WATER-SUI, V8, DOI 10.3390/w8090402
   [Anonymous], 1981, MULTIPLE ATTRIBUTE D
   Azari B, 2018, INT J ENVIRON RES, V12, P585, DOI 10.1007/s41742-018-0109-8
   Bakhshipour AE, 2019, GREEN ENERGY TECHNOL, P633, DOI 10.1007/978-3-319-99867-1_109
   Bakhshipour AE, 2019, J ENVIRON MANAGE, V249, DOI 10.1016/j.jenvman.2019.109364
   Bakhshipour AE, 2019, J WATER RES PLAN MAN, V145, DOI [10.1061/(ASCE)WR.1943-5452.0001103, 10.1061/(asce)wr.1943-5452.0001103]
   Barron NJ, 2017, WATER SCI TECHNOL, V76, P1150, DOI 10.2166/wst.2017.287
   Binesh N, 2019, HYDROLOG SCI J, V64, P381, DOI 10.1080/02626667.2019.1585857
   Bocchini P, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000177
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D., 2011, Urban Drainage, Vthird
   Cano OM, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000726, 10.1061/(asce)wr.1943-5452.0000726]
   Carbajal JP, 2017, ENVIRON MODELL SOFTW, V92, P17, DOI 10.1016/j.envsoft.2017.02.006
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Chelleri L, 2015, HABITAT INT, V48, P122, DOI 10.1016/j.habitatint.2015.03.016
   Chui TFM, 2016, J HYDROL, V533, P353, DOI 10.1016/j.jhydrol.2015.12.011
   Damodaram C, 2013, J WATER RES PLAN MAN, V139, P290, DOI 10.1061/(ASCE)WR.1943-5452.0000251
   Damodaram C, 2010, J AM WATER RESOUR AS, V46, P907, DOI 10.1111/j.1752-1688.2010.00462.x
   Di Matteo M, 2019, ENVIRON MODELL SOFTW, V111, P340, DOI 10.1016/j.envsoft.2018.09.008
   Di Matteo M, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000756
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Eaton TT, 2018, J ENVIRON MANAGE, V209, P495, DOI 10.1016/j.jenvman.2017.12.068
   Eckart K.B.C., 2015, THESIS U WINDSOR DEP
   Eckart K, 2018, J HYDROL, V562, P564, DOI 10.1016/j.jhydrol.2018.04.068
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   Eggimann S., 2016, THESIS ETH ZURICH
   Eggimann S, 2015, WATER RES, V84, P218, DOI 10.1016/j.watres.2015.07.004
   Ewa R., 2011, MULTIPLE CRITERIA DE, P200
   Giacomoni MH, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000812
   Goncalves MLR, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030728
   Hadka D, 2013, EVOL COMPUT, V21, P231, DOI 10.1162/EVCO_a_00075
   Haghighi A, 2016, URBAN WATER J, V13, P790, DOI 10.1080/1573062X.2015.1036085
   Haghighi A, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000435
   Haghighi A, 2013, J WATER RES PLAN MAN, V139, P693, DOI 10.1061/(ASCE)WR.1943-5452.0000294
   Haghighi A, 2012, WATER RESOUR MANAG, V26, P3441, DOI 10.1007/s11269-012-0084-3
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Hassler U, 2014, BUILD RES INF, V42, P119, DOI 10.1080/09613218.2014.873593
   Hung CC, 2009, LECT NOTES ENG COMP, P13
   HWANG CL, 1993, COMPUT OPER RES, V20, P889, DOI 10.1016/0305-0548(93)90109-V
   Inamdar PM, 2013, J ENVIRON MANAGE, V128, P363, DOI 10.1016/j.jenvman.2013.05.023
   Jia HF, 2015, J ENVIRON MANAGE, V149, P65, DOI 10.1016/j.jenvman.2014.10.003
   Johnson RD, 2017, ENVIRON MODELL SOFTW, V91, P70, DOI 10.1016/j.envsoft.2017.01.015
   Karamouz M, 2013, J WATER RES PLAN MAN, V139, P520, DOI 10.1061/(ASCE)WR.1943-5452.0000345
   Kuller M, 2019, SCI TOTAL ENVIRON, V686, P856, DOI 10.1016/j.scitotenv.2019.06.051
   Li YC, 2014, SUSTAINABILITY-BASEL, V6, P4685, DOI 10.3390/su6074685
   Liu YZ, 2016, ENVIRON MODELL SOFTW, V80, P281, DOI 10.1016/j.envsoft.2016.03.005
   Liu YZ, 2015, J ENVIRON MANAGE, V147, P12, DOI 10.1016/j.jenvman.2014.09.005
   Mahmoodian M, 2018, WATER RESOUR MANAG, V32, P5241, DOI 10.1007/s11269-018-2157-4
   Maier HR, 2019, ENVIRON MODELL SOFTW, V114, P195, DOI 10.1016/j.envsoft.2018.11.018
   Maier HR, 2014, ENVIRON MODELL SOFTW, V62, P271, DOI 10.1016/j.envsoft.2014.09.013
   Maier HR, 2001, WATER RESOUR RES, V37, P779, DOI 10.1029/2000WR900329
   Malczewski J., 2015, Multicriteria Decision Analysis in Geographic Information Science, V1, DOI [10.1007/978-3-540-74757-4, DOI 10.1007/978-3-540-74757-4]
   Martin-Mikle CJ, 2015, LANDSCAPE URBAN PLAN, V140, P29, DOI 10.1016/j.landurbplan.2015.04.002
   Mitchell G, 2005, J ENVIRON MANAGE, V74, P1, DOI 10.1016/j.jenvman.2004.08.002
   Mugume SN, 2015, WATER SCI TECH-W SUP, V15, P1343, DOI 10.2166/ws.2015.098
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nicklow J, 2010, J WATER RES PLAN MAN, V136, P412, DOI 10.1061/(ASCE)WR.1943-5452.0000053
   Pigmans K, 2019, WATER RESOUR MANAG, V33, P4067, DOI 10.1007/s11269-019-02316-6
   Poustie MS, 2015, URBAN WATER J, V12, P543, DOI 10.1080/1573062X.2014.916725
   Raei E, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124091
   Rossman L.A, 2017, STORM WATER MANAGEME
   Sebti A, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000180
   SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI 10.1002/j.1538-7305.1948.tb01338.x
   Spuhler D, 2018, WATER RES, V145, P259, DOI 10.1016/j.watres.2018.08.021
   Sweetapple C, 2017, J ENVIRON ENG, V143, DOI [10.1061/(ASCE)EE.1943-7870.0001171, 10.1061/(asce)ee.1943-7870.0001171]
   Tavakol-Davani H, 2018, J IRRIG DRAIN ENG, V144, DOI [10.1061/(asce)ir.1943-4774.0001340, 10.1061/(ASCE)IR.1943-4774.0001340]
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
   Wang MM, 2017, J ENVIRON MANAGE, V201, P145, DOI 10.1016/j.jenvman.2017.06.034
   Wu WY, 2016, ENVIRON MODELL SOFTW, V79, P197, DOI 10.1016/j.envsoft.2016.02.012
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P721, DOI 10.1007/s11269-017-1835-y
   YOON KS, 1987, J OPER RES SOC, V38, P277, DOI 10.1057/jors.1987.44
   Zare SO, 2012, HYDROL EARTH SYST SC, V16, P4531, DOI 10.5194/hess-16-4531-2012
   Zhang G., 2013, Open Journal of Optimization, V02, P95, DOI [10.4236/ojop.2013.24013, DOI 10.4236/OJOP.2013.24013]
   Zhang K, 2018, SCI TOTAL ENVIRON, V621, P915, DOI 10.1016/j.scitotenv.2017.11.281
NR 76
TC 28
Z9 30
U1 8
U2 52
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9496
EI 1943-5452
J9 J WATER RES PLAN MAN
JI J. Water Resour. Plan. Manage.-ASCE
PD AUG 1
PY 2021
VL 147
IS 8
AR 04021049
DI 10.1061/(ASCE)WR.1943-5452.0001389
PG 17
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA XF0JD
UT WOS:000723764800016
OA hybrid
DA 2025-04-22
ER

PT J
AU Tian, BQ
   Gu, CJ
   Jia, H
   Gao, P
   Guo, LP
   Mu, XM
AF Tian, Biqing
   Gu, Chaojun
   Jia, Hao
   Gao, Peng
   Guo, Liping
   Mu, Xingmin
TI Effects of urbanization on the ephemeral lake flood risks under
   subtropical humid monsoon climate
SO JOURNAL OF HYDROLOGY-REGIONAL STUDIES
LA English
DT Article
DE Lake; Flood disaster risk; Surface runoff; Urbanization
ID POYANG LAKE; PRECIPITATION; CHINA
AB Study region: Poyang Lake region, China. Study focus: This study focuses on addressing severe summer monsoon floods in the Poyang Lake region under subtropical monsoon climate conditions. Employing the Seasonal Water Yield analysis within the Integrated Valuation of Ecosystem Services and Tradeoffs framework to investigate and assess the impacts of subtropical monsoon climate and urban dynamics on regional flood risk. By combining simulation results with analysis of regional urban distribution, the study aims to identify sensitive changes in flood hazard characteristics. Ultimately, the research seeks to enhance regional flood resilience to address climate change and urban development challenges. New hydrological insights for the region: Upon analyzing the model simulation results, we discovered that the subtropical humid monsoon climate contributes significantly, accounting for 35.98 % of surface runoff variability during the ephemeral lake region's flood season. Rapid urbanization amplifies the negative impact of land use change on surface runoff (with a contribution rate of 26.00 %). In urban agglomeration areas, surface runoff increased by 30 mm, and the area with surface runoff production of 60-90 mm increased by 120.33 km2. Implementing proactive ecological management measures around lakes and riverbanks has mitigated flood risks across 22 administrative regions, reducing high-risk flood areas by 92.15 km2. Restoration of lake flood storage capacity has significantly bolstered resilience against flood disasters.
C1 [Tian, Biqing; Jia, Hao; Gao, Peng; Mu, Xingmin] Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Peoples R China.
   [Gu, Chaojun] Changjiang Water Resources Commiss, Yangtze River Basin Monitoring Ctr Stn Soil & Wate, Wuhan 430012, Hubei, Peoples R China.
   [Gao, Peng; Mu, Xingmin] Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Peoples R China.
   [Guo, Liping] Jiangxi Agr Univ, Coll Forestry, Jiangxi Prov Key Lab Silviculture, Nanchang 330045, Peoples R China.
   [Guo, Liping] Jiangxi Agr Univ, Key Lab, Natl Forestry & Grassland Adm Forest Ecosyst Prote, Nanchang 330045, Peoples R China.
C3 Northwest A&F University - China; Chinese Academy of Sciences; Institute
   of Soil & Water Conservation (ISWC), CAS; Ministry of Water Resources;
   Chinese Academy of Sciences; Institute of Soil & Water Conservation
   (ISWC), CAS; Jiangxi Agricultural University; Jiangxi Agricultural
   University
RP Gao, P (corresponding author), Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Peoples R China.; Guo, LP (corresponding author), Jiangxi Agr Univ, Key Lab, Natl Forestry & Grassland Adm Forest Ecosyst Prote, Nanchang 330045, Peoples R China.
EM gaopeng@ms.iswc.ac.cn; guoliping@jxau.edu.cn
FU National Natural Science Foundation of China [U2243211, 42277354]
FX Biqing Tian performed methodology; software and writing-original draft
   and conceptualization. Hao Jia performed data curation and
   visualization. Peng Gao and Liping Guo performed writing-reviewing and
   editing. Xueke Chai and Xingmin Mu performed project administration.
   This research was funded by the National Natural Science Foundation of
   China (U2243211; 42277354) .
CR [Anonymous], 2003, Joint Iraq Needs Assessment
   Belete M, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.134834
   Benra F, 2021, ENVIRON MODELL SOFTW, V138, DOI 10.1016/j.envsoft.2021.104982
   Bing JP, 2018, STOCH ENV RES RISK A, V32, P879, DOI 10.1007/s00477-018-1514-4
   CGIAR-CSI, 2000, SRTM DEM dataset in China
   Chinese Academy of Sciences Resource and Environmental Science Data Center, 2020, About us, P111
   Dalezios Nicolas R., 2016, International Journal of Hydrology Science and Technology, V6, P82, DOI 10.1504/IJHST.2016.073885
   Dong NP, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124148
   Dong Z, 2021, INT J APPL EARTH OBS, V102, DOI 10.1016/j.jag.2021.102400
   Fu C, 2023, ENVIRON TECHNOL, V44, P3867, DOI 10.1080/09593330.2022.2075795
   Hamel P, 2020, J ENVIRON MANAGE, V270, DOI 10.1016/j.jenvman.2020.110792
   Hong HY, 2018, SCI TOTAL ENVIRON, V625, P575, DOI 10.1016/j.scitotenv.2017.12.256
   Huang L, 2019, J HYDROL, V572, P422, DOI 10.1016/j.jhydrol.2019.03.009
   Huang L, 2012, ECOL ENG, V44, P53, DOI 10.1016/j.ecoleng.2012.03.007
   Jia HC, 2022, INT J DISAST RISK RE, V68, DOI 10.1016/j.ijdrr.2021.102724
   Li XH, 2021, HYDROL RES, V52, P26, DOI 10.2166/nh.2021.078
   Li XH, 2015, CHINESE GEOGR SCI, V25, P13, DOI 10.1007/s11769-014-0724-z
   Lu CW, 2018, NAT HAZARDS, V94, P1187, DOI 10.1007/s11069-018-3466-x
   Mandle L, 2017, PLOS ONE, V12, DOI [10.1371/journal.pone.018495, 10.1371/journal.pone.0184951]
   Miao CY, 2022, SCI BULL, V67, P547, DOI 10.1016/j.scib.2021.09.022
   Peng SZ, 2019, EARTH SYST SCI DATA, V11, P1931, DOI 10.5194/essd-11-1931-2019
   Sun LQ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19158-1
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Nguyen TT, 2019, SCI TOTAL ENVIRON, V652, P147, DOI 10.1016/j.scitotenv.2018.10.168
   Villarreal-Rosas J, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150577
   Wu JR, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102968
   Xie HL, 2021, LAND DEGRAD DEV, V32, P2762, DOI 10.1002/ldr.3951
   Xu T, 2022, NAT HAZARDS, V111, P661, DOI 10.1007/s11069-021-05072-2
   Zhou Y, 2016, NATURE, V536, P396, DOI 10.1038/536396e
   Zhu LY, 2021, POL J ENVIRON STUD, V30, P4389, DOI 10.15244/pjoes/131056
   Zhu Z, 2021, SCI TOTAL ENVIRON, V790, DOI 10.1016/j.scitotenv.2021.148150
   Zomer RJ, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01493-1
NR 33
TC 1
Z9 1
U1 12
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2214-5818
J9 J HYDROL-REG STUD
JI J. Hydrol.-Reg. Stud.
PD FEB
PY 2025
VL 57
AR 102094
DI 10.1016/j.ejrh.2024.102094
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA O7T2K
UT WOS:001373098700001
OA gold
DA 2025-04-22
ER

PT J
AU Frazier, SL
   Chou, T
   Ouellette, RR
   Helseth, SA
   Kashem, ER
   Cromer, KD
AF Frazier, Stacy L.
   Chou, Tommy
   Ouellette, Rachel R.
   Helseth, Sarah A.
   Kashem, Erin R.
   Cromer, Kelly D.
TI Workforce Support for Urban After-School Programs: Turning Obstacles
   into Opportunities
SO AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY
LA English
DT Article
DE After-school programs; Urban; Poverty; Workforce support; Public health
ID MENTAL-HEALTH; YOUTH; CHILDREN; IMPLEMENTATION; BEHAVIOR; POVERTY;
   QUALITY; FUTURE
AB Organized after-school programs can mitigate risk and build resilience for youth in urban communities. Benefits rely on high-quality developmental experiences characterized by a supportive environment, structured youth-adult interactions, and opportunities for reflective engagement. Programs in historically disenfranchised communities are underfunded; staff are transient, underpaid, and undertrained; and youth exhibit significant mental health problems which staff are variably equipped to address. Historically, after-school research has focused on behavior management and social-emotional learning, relying on traditional evidence-based interventions designed for and tested in schools. However, after-school workforce and resource limitations interfere with adoption of empirically supported strategies and youth health promotion. We have engaged in practice-based research with urban after-school programs in economically vulnerable communities for nearly two decades, toward building a resource-efficient, empirically informed multitiered model of workforce support. In this paper, we offer first-person accounts of four academic-community partnerships to illustrate common challenges, variability across programs, and recommendations that prioritize core skills underlying risk and resilience, align with individual program goals, and leverage without overextending natural routines and resources. Reframing obstacles as opportunities has revealed the application of mental health kernels to the after-school program workforce support and inspired lessons regarding sustainability of partnerships and practice.
C1 [Frazier, Stacy L.; Chou, Tommy; Ouellette, Rachel R.; Kashem, Erin R.; Cromer, Kelly D.] Florida Int Univ, Dept Psychol, Miami, FL 33199 USA.
   [Helseth, Sarah A.] Brown Univ, Sch Publ Hlth, Providence, RI 02912 USA.
C3 State University System of Florida; Florida International University;
   Brown University
RP Frazier, SL (corresponding author), Florida Int Univ, Dept Psychol, Miami, FL 33199 USA.
EM slfrazi@fiu.edu
RI ; Helseth, Sarah/HMV-1885-2023
OI Ouellette, Rachel/0000-0001-6982-0830; Helseth,
   Sarah/0000-0002-3497-2241; Frazier, Stacy/0000-0003-0335-5678
FU NIMH [R34MH070637, R01MH081049, F31MH106252]; NICHD [F31HD093348];
   Florida International University; Miami-Dade County
FX The research described was partially funded by NIMH (R34MH070637 and
   R01MH081049 awarded to the first author; F31MH106252 awarded to the
   fifth author), NICHD (F31HD093348 awarded to the second author), Florida
   International University (Presidential Fellowship awarded to the third
   author; Dissertation Year Fellowship awarded to the fourth author), and
   Miami-Dade County.
CR aan het Rot M, 2012, CLIN PSYCHOL REV, V32, P510, DOI 10.1016/j.cpr.2012.05.007
   Aarons GA, 2015, IMPLEMENT SCI, V10, DOI 10.1186/s13012-014-0192-y
   Afterschool Alliance, 2006, AFT FUND FOR I A Q A
   Alliance A., 2014, AM 3PM AFTERSCHOOL P
   [Anonymous], ALL WORK PLAY LISTEN
   [Anonymous], SCI RES ED COMM SCI
   Atkins MS, 2006, ADM POLICY MENT HLTH, V33, P146, DOI 10.1007/s10488-006-0031-9
   Baldwin CK, 2014, CHILD YOUTH SERV, V35, P152, DOI 10.1080/0145935X.2014.924346
   BALDWIN TT, 1988, PERS PSYCHOL, V41, P63, DOI 10.1111/j.1744-6570.1988.tb00632.x
   BARRISH HH, 1969, J APPL BEHAV ANAL, V2, P119, DOI 10.1901/jaba.1969.2-119
   Beck A.T., 1967, DEPRESSION
   Boustani MM, 2015, ADM POLICY MENT HLTH, V42, P209, DOI 10.1007/s10488-014-0541-9
   Burt RS, 1999, ANN AM ACAD POLIT SS, V566, P37, DOI 10.1177/0002716299566001004
   Chambers DA, 2013, IMPLEMENT SCI, V8, DOI 10.1186/1748-5908-8-117
   Damschroder LJ, 2009, IMPLEMENT SCI, V4, DOI 10.1186/1748-5908-4-50
   Dunford BB, 2012, J APPL PSYCHOL, V97, P637, DOI 10.1037/a0027060
   Embry DD, 2008, CLIN CHILD FAM PSYCH, V11, P75, DOI 10.1007/s10567-008-0036-x
   FANTUZZO JW, 1991, PSYCHOL SCHOOLS, V28, P175, DOI 10.1002/1520-6807(199104)28:2<175::AID-PITS2310280213>3.0.CO;2-K
   Frazier SL, 2007, ADM POLICY MENT HLTH, V34, P389, DOI 10.1007/s10488-007-0118-y
   Frazier SL, 2013, ADM POLICY MENT HLTH, V40, P406, DOI 10.1007/s10488-012-0432-x
   Fuchs D, 1997, AM EDUC RES J, V34, P174, DOI 10.2307/1163346
   Garland AF, 2010, ADM POLICY MENT HLTH, V37, P15, DOI 10.1007/s10488-010-0279-y
   Glisson Charles, 2005, Ment Health Serv Res, V7, P243, DOI 10.1007/s11020-005-7456-1
   Guan K, 2019, BEHAV THER, V50, P101, DOI 10.1016/j.beth.2018.03.014
   Helseth SA, 2018, ADM POLICY MENT HLTH, V45, P286, DOI 10.1007/s10488-017-0823-0
   JACKSON SE, 1983, PERSONNEL, V60, P58
   KELLEY ML, 1995, BEHAV MODIF, V19, P357, DOI 10.1177/01454455950193006
   Kitchener BA, 2004, BMC PSYCHIATRY, V4, DOI 10.1186/1471-244X-4-23
   Lyon AR, 2011, ADM POLICY MENT HLTH, V38, P504, DOI 10.1007/s10488-011-0339-y
   Metzler C.W., 2001, EDUC TREAT CHILD, V24, P448
   National AfterSchool Association, 2006, UND SCH WORKF OPP CH
   Patel V, 2009, PSYCHOL MED, V39, P1759, DOI 10.1017/S0033291709005224
   Sanderson RC, 2010, AM J COMMUN PSYCHOL, V45, P430, DOI 10.1007/s10464-010-9309-x
   Sanetti L.M. Hagermoser., 2014, Journal of Behavioral Education, V23, P60
   Schoenwald SK, 2001, PSYCHIATR SERV, V52, P1190, DOI 10.1176/appi.ps.52.9.1190
   Schoenwald SK, 2013, CLIN PSYCHOL-SCI PR, V20, P44, DOI 10.1111/cpsp.12022
   Smith EP, 2018, PREV SCI, V19, P159, DOI 10.1007/s11121-017-0820-2
   Steckler A, 1989, Am J Health Promot, V3, P34, DOI 10.4278/0890-1171-3.4.34
   Substance Abuse and Mental Health Services Administration [SAMHSA], 2014, TREATMENT IMPROVEMEN, V57
   Valente TW, 1999, ANN AM ACAD POLIT SS, V566, P55, DOI 10.1177/0002716299566001005
   Vescio V, 2008, TEACH TEACH EDUC, V24, P80, DOI 10.1016/j.tate.2007.01.004
   Wade CE, 2015, CHILD YOUTH SERV REV, V48, P70, DOI 10.1016/j.childyouth.2014.12.007
   Woltmann EM, 2008, PSYCHIAT SERV, V59, P732, DOI 10.1176/appi.ps.59.7.732
   Yohalem N., 2006, GROWING NEXT GENERAT
NR 44
TC 14
Z9 33
U1 5
U2 29
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0091-0562
EI 1573-2770
J9 AM J COMMUN PSYCHOL
JI Am. J. Community Psychol.
PD JUN
PY 2019
VL 63
IS 3-4
SI SI
BP 430
EP 443
DI 10.1002/ajcp.12328
PG 14
WC Public, Environmental & Occupational Health; Psychology,
   Multidisciplinary; Social Work
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Psychology; Social Work
GA IF5CC
UT WOS:000473097700015
PM 31002394
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Groffman, PM
   Cadenasso, ML
   Cavender-Bares, J
   Childers, DL
   Grimm, NB
   Grove, JM
   Hobbie, SE
   Hutyra, LR
   Jenerette, GD
   McPhearson, T
   Pataki, DE
   Pickett, STA
   Pouyat, RV
   Rosi-Marshall, E
   Ruddell, BL
AF Groffman, Peter M.
   Cadenasso, Mary L.
   Cavender-Bares, Jeannine
   Childers, Daniel L.
   Grimm, Nancy B.
   Grove, J. Morgan
   Hobbie, Sarah E.
   Hutyra, Lucy R.
   Darrel Jenerette, G.
   McPhearson, Timon
   Pataki, Diane E.
   Pickett, Steward T. A.
   Pouyat, Richard V.
   Rosi-Marshall, Emma
   Ruddell, Benjamin L.
TI Moving Towards a New Urban Systems Science
SO ECOSYSTEMS
LA English
DT Article
DE community assembly; ecosystem function; evolution; social science;
   sustainability; urban
ID ECOLOGY; CHALLENGES; PHARMACEUTICALS; URBANIZATION; RESILIENCE;
   INTERFACE; LANDSCAPE; GRADIENT; FUTURE
AB Research on urban ecosystems rapidly expanded in the 1990s and is now a central topic in ecosystem science. In this paper, we argue that there are two critical challenges for ecosystem science that are rooted in urban ecosystems: (1) predicting or explaining the assembly and function of novel communities and ecosystems under altered environmental conditions and (2) refining understanding of humans as components of ecosystems in the context of integrated social-ecological systems. We assert that these challenges are also linchpins in the further development of sustainability science and argue that there is a strong need for a new initiative in urban systems science to address these challenges and catalyze the next wave of fundamental advances in ecosystem science, and more broadly in interdisciplinary and transdisciplinary science.
C1 [Groffman, Peter M.] CUNY, Adv Sci Res Ctr, Dept Earth & Environm Sci, New York, NY 10031 USA.
   [Groffman, Peter M.] Brooklyn Coll, New York, NY 10031 USA.
   [Cadenasso, Mary L.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Cavender-Bares, Jeannine; Hobbie, Sarah E.] Univ Minnesota, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA.
   [Childers, Daniel L.] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [Grimm, Nancy B.] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA.
   [Grimm, Nancy B.] Arizona State Univ, Global Inst Sustainabil, Tempe, AZ 85287 USA.
   [Grove, J. Morgan] US Forest Serv, USDA, Baltimore Field Stn, Baltimore, MD 21228 USA.
   [Hutyra, Lucy R.] Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA.
   [Darrel Jenerette, G.] Univ Calif Riverside, Dept Bot & Plant Sci, Riverside, CA 92521 USA.
   [McPhearson, Timon] New Sch, Urban Ecol Lab, Environm Studies Program, New York, NY 10003 USA.
   [Pataki, Diane E.] Univ Utah, Dept Biol, Salt Lake City, UT 84112 USA.
   [Pickett, Steward T. A.; Rosi-Marshall, Emma] Cary Inst Ecosyst Studies, Millbrook, NY 12545 USA.
   [Pouyat, Richard V.] US Forest Serv, USDA, Res & Dev, Washington, DC 20502 USA.
   [Ruddell, Benjamin L.] No Arizona Univ, Sch Informat Comp & Cyber Syst, Flagstaff, AZ 86001 USA.
C3 City University of New York (CUNY) System; City University of New York
   (CUNY) System; Brooklyn College (CUNY); University of California System;
   University of California Davis; University of Minnesota System;
   University of Minnesota Twin Cities; Arizona State University; Arizona
   State University-Tempe; Arizona State University; Arizona State
   University-Tempe; Arizona State University; Arizona State
   University-Tempe; United States Department of Agriculture (USDA); United
   States Forest Service; Boston University; University of California
   System; University of California Riverside; The New School; Utah System
   of Higher Education; University of Utah; Cary Institute of Ecosystem
   Studies; United States Department of Agriculture (USDA); United States
   Forest Service; Northern Arizona University
RP Groffman, PM (corresponding author), CUNY, Adv Sci Res Ctr, Dept Earth & Environm Sci, New York, NY 10031 USA.
EM peter.groffman@asrc.cuny.edu
RI Hutyra, Lucy/KWU-0684-2024; Cavender-Bares, Jeannine/K-5716-2013;
   Pataki, Diane/F-9732-2011; McPhearson, Timon/JOZ-3799-2023; Grimm,
   Nancy/D-2840-2009; Rosi, Emma/F-1777-2011
OI McPhearson, Timon/0000-0002-9499-0791; Cavender-Bares,
   Jeannine/0000-0003-3375-9630; Grimm, Nancy/0000-0001-9374-660X; Pataki,
   Diane/0000-0001-7209-514X; Hutyra, Lucy/0009-0009-7229-0063; Rosi,
   Emma/0000-0002-3476-6368; Ruddell, Benjamin/0000-0003-2967-9339;
   Cadenasso, Mary/0000-0002-6521-067X; Childers,
   Daniel/0000-0003-3904-0803; Pickett, Steward/0000-0002-1899-976X
FU NSF [DEB-1027188, DEB-1026865]; NSF Urban Resilience to Extreme
   Weather-related Events Sustainability Research Network (URExSRN)
   [SES-1444755]; NSF Urban Sustainability Research Coordination Network
   [RCN-1140070]; Direct For Biological Sciences; Division Of Environmental
   Biology [1027188, 1026865] Funding Source: National Science Foundation;
   Direct For Biological Sciences; Division Of Environmental Biology
   [1140077] Funding Source: National Science Foundation; Division Of
   Behavioral and Cognitive Sci; Direct For Social, Behav & Economic Scie
   [1444755] Funding Source: National Science Foundation
FX The authors acknowledge support from the NSF Long Term Ecological
   Research Program for work in Baltimore (DEB-1027188) and Phoenix
   (DEB-1026865), from the NSF Urban Resilience to Extreme Weather-related
   Events Sustainability Research Network (URExSRN; SES-1444755), and from
   the NSF Urban Sustainability Research Coordination Network
   (RCN-1140070).
CR Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   [Anonymous], AM FUT ENV RES ED TH
   [Anonymous], 2016, ROUTLEDGE HDB URBANI
   [Anonymous], URBAN ECOSYSTEMS
   [Anonymous], ECOSYSTEMS IN PRESS
   [Anonymous], 2015, CO DESIGN CO PRODUCT
   Baker LA, 2001, ECOSYSTEMS, V4, P582, DOI 10.1007/s10021-001-0031-2
   Boyden S., 1981, ECOLOGY CITY ITS PEO
   Carpenter SR, 2009, ECOL SOC, V14
   Childers DL, 2014, LANDSCAPE URBAN PLAN, V125, P320, DOI 10.1016/j.landurbplan.2014.01.022
   Clark JS, 2001, SCIENCE, V293, P657, DOI 10.1126/science.293.5530.657
   Cook WM, 2004, FRONT ECOL ENVIRON, V2, P467
   Dodds WK, 2010, J N AM BENTHOL SOC, V29, P988, DOI 10.1899/09-148.1
   Drury B, 2013, ENVIRON SCI TECHNOL, V47, P8923, DOI 10.1021/es401919k
   Grimm NB, 2008, FRONT ECOL ENVIRON, V6, P264, DOI 10.1890/070147
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Groffman PM, 2010, FRONT ECOL ENVIRON, V8, P284, DOI 10.1890/090160
   Grove J.M., 2015, BALTIMORE SCH URBAN
   Harden CP, 2014, ENVIRON MANAGE, V53, P4, DOI 10.1007/s00267-013-0082-0
   Hobbs RJ, 2014, FRONT ECOL ENVIRON, V12, P557, DOI 10.1890/130300
   Johnson MTJ, 2015, AM J BOT, V102, P1951, DOI 10.3732/ajb.1500386
   Knapp S, 2012, ECOLOGY, V93, pS83, DOI 10.1890/11-0392.1
   Kolpin DW, 2002, ENVIRON SCI TECHNOL, V36, P1202, DOI 10.1021/es011055j
   Kremer P, 2016, ECOL SOC, V21, DOI 10.5751/ES-08445-210229
   Kremer P, 2015, ECOSYST SERV, V12, P149, DOI 10.1016/j.ecoser.2015.01.008
   Luck MA, 2001, ECOSYSTEMS, V4, P782, DOI 10.1007/s10021-001-0046-8
   Matson Pamela., 2016, Pursuing Sustainability: A Guide to the Science and Practice
   McDonnell M.J., 1993, HUMANS COMPONENTS EC
   McDonnell MJ, 2015, ANNU REV ECOL EVOL S, V46, P261, DOI 10.1146/annurev-ecolsys-112414-054258
   McDonnell MJ, 2008, LANDSCAPE ECOL, V23, P1143, DOI 10.1007/s10980-008-9253-4
   MCDONNELL MJ, 1990, ECOLOGY, V71, P1232, DOI 10.2307/1938259
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Pickett STA, 2011, J ENVIRON MANAGE, V92, P331, DOI 10.1016/j.jenvman.2010.08.022
   POUYAT RV, 1991, WATER AIR SOIL POLL, V57-8, P797, DOI 10.1007/BF00282943
   POUYAT RV, 1995, J ENVIRON QUAL, V24, P516, DOI 10.2134/jeq1995.00472425002400030019x
   Radeloff VC, 2005, ECOL APPL, V15, P799, DOI 10.1890/04-1413
   Rosi-Marshall EJ, 2013, ECOL APPL, V23, P583, DOI 10.1890/12-0491.1
   Rosi-Marshall EJ, 2012, ECOSYSTEMS, V15, P867, DOI 10.1007/s10021-012-9553-z
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Swan CM, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P179
   Turner MG, 1999, ECOSYSTEMS, V2, P275, DOI 10.1007/PL00010895
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
NR 43
TC 61
Z9 83
U1 1
U2 107
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1432-9840
EI 1435-0629
J9 ECOSYSTEMS
JI Ecosystems
PD JAN
PY 2017
VL 20
IS 1
BP 38
EP 43
DI 10.1007/s10021-016-0053-4
PG 6
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EI2KV
UT WOS:000392317000006
DA 2025-04-22
ER

PT J
AU Lewis, JA
   Zipperer, WC
   Ernstson, H
   Bernik, B
   Hazen, R
   Elmqvist, T
   Blum, MJ
AF Lewis, Joshua A.
   Zipperer, Wayne C.
   Ernstson, Henrik
   Bernik, Brittany
   Hazen, Rebecca
   Elmqvist, Thomas
   Blum, Michael J.
TI Socioecological disparities in New Orleans following Hurricane Katrina
SO ECOSPHERE
LA English
DT Article
DE abandonment; disturbance; environmental justice; resilience; urban
   ecology; vegetation
ID ECOSYSTEM SERVICES; URBAN ECOLOGY; SOCIOECONOMIC-STATUS;
   POLITICAL-ECONOMY; SHRINKING CITIES; FOREST DAMAGE; CANOPY COVER;
   IMPACT; VEGETATION; CITY
AB Despite growing interest in urban resilience, remarkably little is known about vegetation dynamics in the aftermath of disasters. In this study, we examined the composition and structure of plant communities across New Orleans (Louisiana, USA) following catastrophic flooding triggered by levee failures during Hurricane Katrina in 2005. Focusing on eight neighborhoods that span a range of demographic and topographical conditions, we assessed whether plant communities in post-Katrina New Orleans reflect flooding disturbance and post-disaster landscape management policies. We then contextualized vegetation patterns and associated ecosystem services and disservices with census-based demographic trends and indepth interviews to draw inferences about the drivers and outcomes of urban land abandonment in the aftermath of Hurricane Katrina. We found that areas subject to the greatest flooding disturbance exhibit the highest rates of vegetation response. Disturbance intensity and elevation, however, are relatively weak drivers of vegetation differences among the studied neighborhoods. Rather, we found that household income, racial demographics, and land abandonment are important drivers of vegetation community composition and structure across the city. Our findings indicate that resettlement and landscape management policies can mediate post-flooding ecological outcomes and demonstrate that unmanaged, emergent vegetation on abandoned lands can be an environmental justice concern in underserved and historically marginalized communities.
C1 [Lewis, Joshua A.; Elmqvist, Thomas] Stockholm Univ, Stockholm Resilience Ctr, S-10405 Stockholm, Sweden.
   [Lewis, Joshua A.; Bernik, Brittany; Blum, Michael J.] Tulane Univ, Tulane Xavier Ctr Bioenvironm Res, New Orleans, LA 70118 USA.
   [Zipperer, Wayne C.] US Forest Serv, USDA, Gainesville, FL 32611 USA.
   [Ernstson, Henrik] KTH Royal Inst Technol, KTH Environm Human Lab, S-11428 Stockholm, Sweden.
   [Ernstson, Henrik] Univ Manchester, Dept Geog, Sch Environm Educ & Dev, Manchester M13 9PL, Lancs, England.
   [Bernik, Brittany; Hazen, Rebecca; Blum, Michael J.] Tulane Univ, Dept Ecol & Evolutionary Biol, New Orleans, LA 70118 USA.
C3 Stockholm University; Xavier University of Louisiana; Tulane University;
   United States Department of Agriculture (USDA); United States Forest
   Service; Royal Institute of Technology; University of Manchester; Tulane
   University
RP Lewis, JA (corresponding author), Stockholm Univ, Stockholm Resilience Ctr, S-10405 Stockholm, Sweden.; Lewis, JA (corresponding author), Tulane Univ, Tulane Xavier Ctr Bioenvironm Res, New Orleans, LA 70118 USA.
EM jlewis9@tulane.edu
RI Ernstson, Henrik/LMP-6473-2024; Elmqvist, Thomas/AAY-6344-2021
OI Ernstson, Henrik/0000-0002-6415-4821; Lewis, Joshua/0000-0002-8170-1364;
   Hazen, Rebecca F./0000-0002-6516-4634; Elmqvist,
   Thomas/0000-0002-4617-6197
FU Swedish Research Council Formas through the "Socioecological Movements
   and Transformative Collective Action in Urban Ecosystems"
   [211-2011-1519]; U.S. Forest Service; National Science Foundation
   [BCS-1313703]; Division Of Behavioral and Cognitive Sci; Direct For
   Social, Behav & Economic Scie [1313703] Funding Source: National Science
   Foundation
FX We would like to thank Jeff Hebert, Jason Neville, and Jerry Graves (who
   at the time of our fieldwork were at the NORA) for providing guidance
   for completion of this study. Thanks to Dave Baker, Stephanie Piper, and
   Nathan Cooper of Tulane University for assistance with fieldwork and
   other research activities. Thanks to Pippin Anderson and Erik Andersson
   for helpful comments on early manuscript drafts. The Swedish Research
   Council Formas is acknowledged for providing funding for this research
   through the research grant "Socioecological Movements and Transformative
   Collective Action in Urban Ecosystems" (Dnr: 211-2011-1519), along with
   the U.S. Forest Service, and the National Science Foundation
   (BCS-1313703).
CR Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Allen C., 2004, GRASSES OF LOUISIANA
   [Anonymous], 2015, THESIS
   [Anonymous], ITREE PROT TOOLS ASS
   [Anonymous], URBAN FORES IN PRESS
   [Anonymous], 2013, ESTIMATES STAT ESTIM
   Baró F, 2014, AMBIO, V43, P466, DOI 10.1007/s13280-014-0507-x
   Berland A., 2015, Cities and the Environment, V8, P1
   Blackman A., 2002, J ENVIRON DEV, V11, P247, DOI DOI 10.1177/107049602237157
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Brookings Institution, 2005, NEW ORL STORM LESS P
   Brownlow A, 2006, GEOFORUM, V37, P227, DOI 10.1016/j.geoforum.2005.02.009
   Campanella R., 2015, GREAT FOOTPRINT DEBA
   Campanella Richard., 2008, Bienville's Dilemma
   Chambers JQ, 2007, SCIENCE, V318, P1107, DOI 10.1126/science.1148913
   Chapman EL, 2008, FOREST ECOL MANAG, V256, P883, DOI 10.1016/j.foreco.2008.05.057
   Colwell RK, 2004, ECOLOGY, V85, P2717, DOI 10.1890/03-0557
   Conway TM, 2011, LANDSCAPE URBAN PLAN, V101, P321, DOI 10.1016/j.landurbplan.2011.02.037
   CURTIS JT, 1951, ECOLOGY, V32, P476, DOI 10.2307/1931725
   Data Center, 2015, The New Orleans Index at Ten Measuring Greater New Orleans' Progress toward Prosperity
   Depillis L., 2013, NEW REPUBLIC
   Dewar Margaret., 2012, CITY ABANDONMENT
   Dobbs C, 2011, LANDSCAPE URBAN PLAN, V99, P196, DOI 10.1016/j.landurbplan.2010.11.004
   Douglas I, 2012, CURR OPIN ENV SUST, V4, P385, DOI 10.1016/j.cosust.2012.07.005
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Gandy M, 2013, ANN ASSOC AM GEOGR, V103, P1301, DOI 10.1080/00045608.2013.832105
   Gaston KJ, 2005, PROG PHYS GEOG, V29, P239, DOI 10.1191/0309133305pp445pr
   Gomez-Baggethun Erik, 2013, P175
   Gotham K. F., 2015, International Journal of Social Ecology and Sustainable Development (IJSESD), V6, P57, DOI 10.4018/ijsesd.2015040104
   Gotham K. F, 2014, CITIES ENV CATE, V7, P4
   Gotham KF, 2011, ECOL SOC, V16, DOI 10.5751/ES-04292-160312
   Gotham KF, 2012, PERSPECT POLIT, V10, P633, DOI 10.1017/S153759271200165X
   Gotham KevinFox., 2014, Crisis Cities: Disaster and Redevelopment in New York and New Orleans, DOI DOI 10.1093/ACPROF:OSO/9780199752225.001.0001
   Grimm NB, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1002/ehs2.1255
   Grove J. M., 2009, SOC NATUR RESOUR, V19, P117
   Grove JM, 2014, ENVIRON MANAGE, V54, P402, DOI 10.1007/s00267-014-0310-2
   Gulachenski A, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050491
   Haase Dagmar, 2013, P253
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Haase D, 2008, NAT CULT, V3, P1, DOI 10.3167/nc.2008.030101
   Hamer SA, 2012, EMERG INFECT DIS, V18, P1589, DOI 10.3201/eid1810.120511
   Heynen NC, 2003, ANTIPODE, V35, P980, DOI 10.1111/j.1467-8330.2003.00367.x
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Hope D, 2003, P NATL ACAD SCI USA, V100, P8788, DOI 10.1073/pnas.1537557100
   Howard JJ, 2012, AM MIDL NAT, V168, P56, DOI 10.1674/0003-0031-168.1.56
   Jansson M, 2013, URBAN FOR URBAN GREE, V12, P127, DOI 10.1016/j.ufug.2013.01.005
   Jha AK, 2013, Building Urban Resilience Principles, Tools, and, DOI [10.1596/978-0-8213-8865-5, DOI 10.1596/978-0-8213-8865-5]
   Jorgensen Anna, 2007, Urban Forestry & Urban Greening, V6, P267, DOI 10.1016/j.ufug.2007.05.004
   Kinzig AP, 2005, ECOL SOC, V10
   Kirkman L.K., 2007, Native Trees of the Southeast
   Kontogianni A, 2010, ECOL ECON, V69, P1479, DOI 10.1016/j.ecolecon.2010.02.019
   Koskela H, 2000, GEOFORUM, V31, P269, DOI 10.1016/S0016-7185(99)00033-0
   Kupfer JA, 2008, ECOSYSTEMS, V11, P45, DOI 10.1007/s10021-007-9106-z
   Lachmund J, 2013, INSIDE TECHNOL, P1
   Landphair J, 2007, J AM HIST, V94, P837, DOI 10.2307/25095146
   Langner Marcel., 2007, Shrinking Cities: Effects on Urban Ecology and Challenges for Urban Development
   Locke DH, 2015, URBAN ECOSYST, V18, P391, DOI 10.1007/s11252-014-0409-5
   Lyytimäki J, 2009, URBAN FOR URBAN GREE, V8, P309, DOI 10.1016/j.ufug.2009.09.003
   Lyytimki J., 2008, Environmental Sciences, V5, P161, DOI DOI 10.1080/15693430802055524
   Martin CA, 2004, LANDSCAPE URBAN PLAN, V69, P355, DOI 10.1016/j.landurbplan.2003.10.034
   Mathey J., 2010, Urban biodiversity and design, P406, DOI DOI 10.1002/9781444318654.CH21
   Millar RB, 2004, FISH RES, V70, P397, DOI 10.1016/j.fishres.2004.08.016
   Miller JH., 2005, FOREST PLANTS SE THE
   Millington N, 2015, ENVIRON PLANN A, V47, P2324, DOI 10.1177/0308518X15599294
   Muratet A, 2007, ECOSYSTEMS, V10, P661, DOI 10.1007/s10021-007-9047-6
   Mwendo J., 2012, JUNGLELAND REALLY LO
   Nowak D.J., 2007, Urban and Community Forestry in the Northeast, P25, DOI [10.1007/978-1-4020-4289-82, DOI 10.1007/978-1-4020-4289-82]
   Nowak DJ, 2012, URBAN FOR URBAN GREE, V11, P21, DOI 10.1016/j.ufug.2011.11.005
   Nowak David J., 2008, Arboriculture & Urban Forestry, V34, P347
   OMEARA GF, 1995, J MED ENTOMOL, V32, P554, DOI 10.1093/jmedent/32.4.554
   Perkins HA, 2004, CITIES, V21, P291, DOI 10.1016/j.cities.2004.04.002
   Plumlee GS., 2006, USGS environmental characterization of flood sediments left in the New Orleans area after Hurricanes Katrina and Rita, 2005-Progress Report
   Rael RC, 2016, ECOHEALTH, V13, P450, DOI 10.1007/s10393-016-1157-1
   Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
   RAPPORT DJ, 1985, AM NAT, V125, P617, DOI 10.1086/284368
   Rega-Brodsky CC, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1578
   Rich Nathaniel, 2012, NY TIMES MAGAZINE
   Rojas-Caldelas RI, 2008, WASTE MANAGE, V28, pS40, DOI 10.1016/j.wasman.2008.04.008
   Safransky S, 2014, GEOFORUM, V56, P237, DOI 10.1016/j.geoforum.2014.06.003
   Schetke S, 2008, ENVIRON IMPACT ASSES, V28, P483, DOI 10.1016/j.eiar.2007.09.004
   Schummer ML, 2011, GUIDE MOIST SOIL WET
   Schwarz K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122051
   Seed RB, 2008, J GEOTECH GEOENVIRON, V134, P701, DOI 10.1061/(ASCE)1090-0241(2008)134:5(701)
   Stanturf JA, 2007, FOREST ECOL MANAG, V250, P119, DOI 10.1016/j.foreco.2007.03.015
   Sukopp H., 1971, Verhandlungen Botanischer Verein Provinz Brandenburg, V108, P3
   TALARCHEK GM, 1990, URBAN GEOGR, V11, P65, DOI 10.2747/0272-3638.11.1.65
   Pham TTH, 2012, LANDSCAPE URBAN PLAN, V107, P214, DOI 10.1016/j.landurbplan.2012.06.002
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   U. S. Department of Housing and Urban Development (HUD), 2016, GREEN INFR SUST COMM
   University of New Orleans, 2013, METR REP EC IND NEW
   von Döhren P, 2015, ECOL INDIC, V52, P490, DOI 10.1016/j.ecolind.2014.12.027
   Wallace D, 2008, ECOL SOC, V13
   Wang FG, 2009, ENVIRON MONIT ASSESS, V156, P491, DOI 10.1007/s10661-008-0500-6
   Wooten T., 2012, JUNGLELAND GRASSROOT
   Zipperer Wayne C., 2002, Urban Ecosystems, V6, P271, DOI 10.1023/B:UECO.0000004827.12561.d4
NR 99
TC 29
Z9 31
U1 5
U2 85
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2150-8925
J9 ECOSPHERE
JI Ecosphere
PD SEP
PY 2017
VL 8
IS 9
AR e01922
DI 10.1002/ecs2.1922
PG 24
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FG7TI
UT WOS:000410627100001
OA gold
DA 2025-04-22
ER

PT J
AU He, CY
   Huang, QX
   Bai, XM
   Robinson, DT
   Shi, PJ
   Dou, YY
   Zhao, B
   Yan, JB
   Zhang, Q
   Xu, FJ
   Daniell, J
AF He, Chunyang
   Huang, Qingxu
   Bai, Xuemei
   Robinson, Derek T.
   Shi, Peijun
   Dou, Yinyin
   Zhao, Bo
   Yan, Jubo
   Zhang, Qiang
   Xu, Fangjin
   Daniell, James
TI A Global Analysis of the Relationship Between Urbanization and
   Fatalities in Earthquake-Prone Areas
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article
DE Earthquake risk; Global South; Risk governance; Urbanization ratio;
   Urban sustainability
ID RISK; VULNERABILITY; POPULATION; REDUCTION; HAZARD; RECONSTRUCTION;
   RESILIENCE; EXPANSION; FRAMEWORK; EXPOSURE
AB Urbanization can be a challenge and an opportunity for earthquake risk mitigation. However, little is known about the changes in exposure (for example, population and urban land) to earthquakes in the context of global urbanization, and their impacts on fatalities in earthquake-prone areas. We present a global analysis of the changes in population size and urban land area in earthquake-prone areas from 1990 to 2015, and their impacts on earthquake-related fatalities. We found that more than two thirds of population growth (or 70% of total population in 2015) and nearly three quarters of earthquake-related deaths (or 307,918 deaths) in global earthquake-prone areas occurred in developing countries with an urbanization ratio (percentage of urban population to total population) between 20 and 60%. Holding other factors constant, population size was significantly and positively associated with earthquake fatalities, while the area of urban land was negatively related. The results suggest that fatalities increase for areas where the urbanization ratio is low, but after a ratio between 40 and 50% occurs, earthquake fatalities decline. This finding suggests that the resistance of building and infrastructure is greater in countries with higher urbanization ratios and highlights the need for further investigation. Our quantitative analysis is extended into the future using Shared Socioeconomic Pathways to reveal that by 2050, more than 50% of the population increase in global earthquake-prone areas will take place in a few developing countries (Pakistan, India, Afghanistan, and Bangladesh) that are particularly vulnerable to earthquakes. To reduce earthquake-induced fatalities, enhanced resilience of buildings and urban infrastructure generally in these few countries should be a priority.
C1 [He, Chunyang; Huang, Qingxu; Shi, Peijun; Zhang, Qiang; Xu, Fangjin] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [He, Chunyang; Huang, Qingxu; Xu, Fangjin] Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing 100875, Peoples R China.
   [Bai, Xuemei] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2601, Australia.
   [Robinson, Derek T.] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
   [Shi, Peijun; Zhang, Qiang] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Minist Emergency Management, Beijing 100875, Peoples R China.
   [Shi, Peijun; Zhang, Qiang] Beijing Normal Univ, Minist Educ, Beijing 100875, Peoples R China.
   [Shi, Peijun] Qinghai Normal Univ, Sch Geog Sci, Xining 810016, Peoples R China.
   [Dou, Yinyin] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Zhao, Bo] Univ Washington, Dept Geog, Seattle, WA 98195 USA.
   [Yan, Jubo] Nanyang Technol Univ, Sch Social Sci, Singapore 639818, Singapore.
   [Daniell, James] Karlsruhe Inst Technol KIT, Geophys Inst, D-76344 Karlsruhe, Germany.
   [Daniell, James] Karlsruhe Inst Technol KIT, Ctr Disaster Management & Risk Reduct Technol, D-76344 Karlsruhe, Germany.
C3 Beijing Normal University; Beijing Normal University; Australian
   National University; University of Waterloo; Beijing Normal University;
   Beijing Normal University; Qinghai Normal University; Chinese Academy of
   Sciences; Institute of Geographic Sciences & Natural Resources Research,
   CAS; University of Washington; University of Washington Seattle; Nanyang
   Technological University; Helmholtz Association; Karlsruhe Institute of
   Technology; Helmholtz Association; Karlsruhe Institute of Technology
RP Huang, QX (corresponding author), Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.; Huang, QX (corresponding author), Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing 100875, Peoples R China.
EM qxhuang@bnu.edu.cn
RI Yan, Jubo/AHB-4482-2022; Dou, Yinyin/LWK-5808-2024; Xu,
   Fangjin/HHS-5783-2022; Huang, Qingxu/R-8956-2019; Bai,
   Xuemei/A-5443-2012
OI Yan, Jubo/0000-0002-5333-8465; Dou, Yinyin/0000-0002-0119-1473; Daniell,
   James/0000-0003-2157-6431; Bai, Xuemei/0000-0001-6556-8041
FU National Key Research and Development Program of China [2019YFA0607203];
   National Natural Science Foundation of China [41971225]; Tang Zhongying
   Young Scholar Program; (program of Beijing Normal University)
FX We express our gratitude to the anonymous reviewers and editors for
   their insightful and critical comments, which have improved the quality
   of the manuscript. The research presented was supported by the National
   Key Research and Development Program of China (Grant Number
   2019YFA0607203), the National Natural Science Foundation of China (Grant
   Number 41971225), and the Tang Zhongying Young Scholar Program (Qingxu
   Huang is a recipient of the program of Beijing Normal University).
CR Abramson D, 2011, PAC AFF, V84, P495, DOI 10.5509/2011843495
   Aitsi-Selmi A, 2015, INT J DISAST RISK SC, V6, P164, DOI 10.1007/s13753-015-0050-9
   Alçada-Almeida L, 2009, GEOGR ANAL, V41, P9, DOI 10.1111/j.1538-4632.2009.00745.x
   Alirol E, 2011, LANCET INFECT DIS, V11, P131, DOI 10.1016/S1473-3099(10)70223-1
   Allen TI, 2009, SEISMOL RES LETT, V80, P57, DOI 10.1785/gssrl.80.1.57
   Ambraseys N, 2011, NATURE, V469, P153, DOI 10.1038/469153a
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2017, The GAR atlas: unveiling global disaster risk
   Bai XM, 2017, ANNU REV ENV RESOUR, V42, P215, DOI 10.1146/annurev-environ-102016-061128
   Bilham R, 2004, SEISMOL RES LETT, V75, P481, DOI 10.1785/gssrl.75.4.481
   Bilham R, 1999, NATURE, V401, P738, DOI 10.1038/44445
   Bilham R, 2014, HAZARD DISASTER SER, P103, DOI 10.1016/B978-0-12-394848-9.00005-5
   Bilham R, 2013, SCIENCE, V341, P618, DOI 10.1126/science.1238476
   Bilham R, 2009, B EARTHQ ENG, V7, P839, DOI 10.1007/s10518-009-9147-0
   Bloom DE, 2008, SCIENCE, V319, P772, DOI 10.1126/science.1153057
   Boke-Olén N, 2017, SCI DATA, V4, DOI 10.1038/sdata.2016.130
   Chen GZ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14386-x
   Chen YD, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0421-y
   Chen YM, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001491
   Crowley K, 2012, GEOGR J, V178, P208, DOI 10.1111/j.1475-4959.2011.00453.x
   Daniell JE, 2011, NAT HAZARD EARTH SYS, V11, P2235, DOI 10.5194/nhess-11-2235-2011
   Daniell J E., 2017, Frontiers in Built Environment, V3, P30, DOI DOI 10.3389/FBUIL.2017.00030
   Daniell J.E., 2014, PROC 2 EUROPEAN C EA
   de Ruiter MC, 2017, NAT HAZARD EARTH SYS, V17, P1231, DOI 10.5194/nhess-17-1231-2017
   Djordjevic M, 2016, J GEOGR INST JOVAN C, V66, P353, DOI 10.2298/IJGI1603353D
   Doberstein B, 2013, DISASTERS, V37, P28, DOI 10.1111/j.1467-7717.2012.01294.x
   Doocy Shannon, 2013, PLoS Curr, V5, DOI [10.1371/currents.dis.f4deb457904936b07c09daa98ee8171a, 10.1371/currents.dis.67bd14fe457f1db0b5433a8ee20fb833]
   Doocy S, 2013, POPUL HEALTH METR, V11, DOI 10.1186/1478-7954-11-5
   Dou YY, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15091893
   EM-DAT, 2018, The Emergency Events Database
   England P, 2011, NAT GEOSCI, V4, P348, DOI 10.1038/ngeo1168
   Field C.B., 2012, SPECIAL REPORT IPCC
   Frolking S, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024004
   Gerstenberger MC, 2020, REV GEOPHYS, V58, DOI 10.1029/2019RG000653
   Green Rebekah., 2008, Hazards and the Built Environment: Attaining Built in Resilience, P218
   Guneralp B, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6669
   He CY, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074028
   He X, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122728
   Henderson JV, 2016, SCIENCE, V352, P946, DOI 10.1126/science.aaf7150
   Holzer TL, 2013, EARTHQ SPECTRA, V29, P155, DOI 10.1193/1.4000106
   Huang QX, 2019, INT J DISAST RISK SC, V10, P43, DOI 10.1007/s13753-018-0207-4
   Ishibe T, 2012, B SEISMOL SOC AM, V102, P1041, DOI 10.1785/0120100250
   Jackson J, 2006, PHILOS T R SOC A, V364, P1911, DOI 10.1098/rsta.2006.1805
   Jaiswal K., 2011, Human Casualties in Earthquakes, P83, DOI [DOI 10.1007/978-90-481-9455-1_6, 10.1007/978-90-481-9455-1_6]
   Jaiswal K, 2011, EARTHQ SPECTRA, V27, P775, DOI 10.1193/1.3606398
   Jaiswal K, 2010, EARTHQ SPECTRA, V26, P1017, DOI 10.1193/1.3480331
   Jiang LW, 2017, GLOBAL ENVIRON CHANG, V42, P193, DOI 10.1016/j.gloenvcha.2015.03.008
   KleinGoldewijk K., 2016, EGU GEN ASS C, pEPSC2016, DOI DOI 10.17026/DANSZNK-CFY3
   Lankao PR, 2011, CURR OPIN ENV SUST, V3, P142, DOI 10.1016/j.cosust.2010.12.016
   Leyk S, 2019, EARTH SYST SCI DATA, V11, P1385, DOI 10.5194/essd-11-1385-2019
   Li M, 2015, WORLD ATLAS NATURAL, P25
   Liu M, 2016, EARTH-SCI REV, V162, P364, DOI 10.1016/j.earscirev.2016.09.016
   Martins VN, 2012, NAT HAZARD EARTH SYS, V12, P2731, DOI 10.5194/nhess-12-2731-2012
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   Merkens JL, 2016, GLOBAL PLANET CHANGE, V145, P57, DOI 10.1016/j.gloplacha.2016.08.009
   Montgomery MR, 2008, SCIENCE, V319, P761, DOI 10.1126/science.1153012
   Motamedi MHK, 2012, TRAUMA MON, V17, P219, DOI 10.5812/traumamon.4519
   Mulligan GF, 2013, CITIES, V32, P113, DOI 10.1016/j.cities.2013.03.014
   Munich Re, 2009, GLOBE NATURAL DISAST
   Nagendra H, 2018, NAT SUSTAIN, V1, P341, DOI 10.1038/s41893-018-0101-5
   NGDC/WDS (National Geophysical Data Center/World Data Service), 2018, SIGN EARTHQ DAT
   Northam R.M., 1979, URBAN GEOGR, P65
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Oteng-Ababio M, 2012, J HOUS BUILT ENVIRON, V27, P187, DOI 10.1007/s10901-011-9249-2
   Pagani M, 2014, SEISMOL RES LETT, V85, P692, DOI 10.1785/0220130087
   Pagani M., 2018, GLOB EARTHQ MOD GEM
   Panza GF, 2020, ENG GEOL, V275, DOI 10.1016/j.enggeo.2019.105403
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   Pesaresi M., 2017, ATLAS HUMAN PLANET 2, DOI [10.2760/19837, DOI 10.2760/19837]
   Potere D, 2007, GEOJOURNAL, V69, P55, DOI 10.1007/s10708-007-9102-z
   RAVALLION M, 1991, J URBAN ECON, V29, P113, DOI 10.1016/0094-1190(91)90030-B
   Samaddar S, 2017, NAT HAZARDS, V85, P111, DOI 10.1007/s11069-016-2564-x
   Sarris A, 2010, NAT HAZARDS, V54, P395, DOI 10.1007/s11069-009-9475-z
   Shucksmith M, 2009, REG STUD, V43, P1275, DOI 10.1080/00343400802378750
   Spence R, 2007, B EARTHQ ENG, V5, P139, DOI 10.1007/s10518-006-9028-8
   Suárez G, 2009, SEISMOL RES LETT, V80, P707, DOI 10.1785/gssrl.80.5.707
   Takeuchi Y., 2014, DISASTER RECOVERY, P147
   Uitto JI, 2016, DISAST RISK REDUCT, P1, DOI 10.1007/978-4-431-55078-5_1
   UNDP, 2018, Maintenance Process and Associated Indicators
   UNHCR (United Nations High Commissioner for Refugees), 2014, GLOB STRAT SETT SHEL
   United Nations, 2018, WORLD URBANIZATION P
   Utsu T., 2004, Catalog of Damaging Earthquakes in the World (through 2002)
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P373, DOI 10.1007/s10584-013-0906-1
   Vink K, 2013, INT J DISAST RISK RE, V4, P63, DOI 10.1016/j.ijdrr.2013.02.002
   Ward PJ, 2020, NAT HAZARD EARTH SYS, V20, P1069, DOI 10.5194/nhess-20-1069-2020
   Wyss M, 2018, SEISMOL RES LETT, V89, P1991, DOI 10.1785/0220180236
   Wyss M, 2015, SEISMOL RES LETT, V86, P1405, DOI 10.1785/0220150014
   York R, 2003, ECOL ECON, V46, P351, DOI 10.1016/S0921-8009(03)00188-5
NR 90
TC 19
Z9 20
U1 5
U2 64
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2095-0055
EI 2192-6395
J9 INT J DISAST RISK SC
JI Int. J. Disaster Risk Sci.
PD DEC
PY 2021
VL 12
IS 6
BP 805
EP 820
DI 10.1007/s13753-021-00385-z
EA DEC 2021
PG 16
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA XU1OV
UT WOS:000732503700001
OA gold
DA 2025-04-22
ER

PT J
AU Boschetti, F
   Gaffier, C
   Price, J
   Moglia, M
   Walker, I
AF Boschetti, Fabio
   Gaffier, Claire
   Price, Jennifer
   Moglia, Magnus
   Walker, Iain
TI Myths of the City
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Urban development; Urban management; Cultural Theory; Social cognition;
   Urban resilience
ID CULTURAL COGNITION; CLIMATE-CHANGE; FUTURE; ENVIRONMENT; PERCEPTION;
   CITIES; NUMBER; RISK
AB Through an online survey, we assessed the views about urban life and urban development of 500 Australian citizens living in three large cities. Differences in perceptions and opinions can be described along three dimensions which, in alignment with cultural theory, we name Myths of the City. The analysis of their relation to a number of constructs from the social cognition literature reveals that each myth has a clear and distinct cognitive signature. The Cultural City Myth combines a positive attitude towards life in large cities and urban growth with concerns about equity, power balance, and social and environmental crises while endorsing larger public participation in urban planning. The Anti-Urban Myth holds a bleak outlook on the future, resulting in a negative view of urban life and urban growth. The Mighty City Myth, endorsed by younger, better educated, less liberal citizens, reflects expectations that all aspects of future life will improve. Surprisingly, the three myths share a small, but statistically significant positive correlation implying that some citizens may simultaneously hold contrasting beliefs about urban issues. Both these results and the use of the questionnaire developed for this study can facilitate public engagement and communication around issues of urban management and policy making.
C1 [Boschetti, Fabio; Price, Jennifer; Moglia, Magnus; Walker, Iain] Univ Western Australia, Indian Ocean Marine Res Ctr, CSIRO Oceans & Atmosphere, 35 Stirling Highway, Crawley, WA 6009, Australia.
   [Boschetti, Fabio] Univ Western, Sch Earth & Geog Sci, Crawley, Australia.
   [Gaffier, Claire] AgroParisTech, Paris Inst Technol Life Food & Environm Sci, Paris, France.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Western Australia; AgroParisTech
RP Boschetti, F (corresponding author), Univ Western Australia, Indian Ocean Marine Res Ctr, CSIRO Oceans & Atmosphere, 35 Stirling Highway, Crawley, WA 6009, Australia.; Boschetti, F (corresponding author), Univ Western, Sch Earth & Geog Sci, Crawley, Australia.
EM Fabio.Boschetti@csiro.au
RI Price, Jennifer/D-3004-2011; Walker, Iain/G-5457-2010; Price,
   Jennifer/LQK-3701-2024; Moglia, Magnus/C-8575-2011; Boschetti,
   Fabio/A-1607-2015
OI Walker, Iain/0000-0002-1020-5873; Price, Jennifer/0000-0001-9252-399X;
   Moglia, Magnus/0000-0002-8290-610X; Boschetti, Fabio/0000-0001-8999-6913
CR [Anonymous], 2015, Transformation Investments and Business Impacts Version 0.2, DOI DOI 10.1007/S11069-014-1328-8
   [Anonymous], 2013, Int. J. Econ. Manag. Eng.
   Boschetti F, 2017, SUSTAIN SCI, V12, P345, DOI 10.1007/s11625-017-0429-1
   Boschetti F, 2016, TECHNOL FORECAST SOC, V111, P76, DOI 10.1016/j.techfore.2016.06.009
   Boschetti F, 2016, SUSTAIN SCI, V11, P855, DOI 10.1007/s11625-016-0382-4
   Boschetti F, 2016, ECOL MODEL, V322, P71, DOI 10.1016/j.ecolmodel.2015.11.009
   Braman Donald, 2007, 2 NATL RISK CULTURE
   CATTELL RB, 1966, MULTIVAR BEHAV RES, V1, P245, DOI 10.1207/s15327906mbr0102_10
   DAKE K, 1992, J SOC ISSUES, V48, P21, DOI 10.1111/j.1540-4560.1992.tb01943.x
   DAKE K, 1991, J CROSS CULT PSYCHOL, V22, P61, DOI 10.1177/0022022191221006
   Douglas M., 1985, Risk acceptability according to the social sciences
   Douglas Mary, 1966, Purity and Danger: An Analysis of Concepts of Pollution and Taboo
   Douglas Mary., 1982, Risk and culture: an essay on the selection of technological and environmental dangers
   Fang CL, 2016, J GEOGR SCI, V26, P1081, DOI 10.1007/s11442-016-1317-9
   Hoornweg D, 2016, AMBIO, V45, P567, DOI 10.1007/s13280-016-0764-y
   HUMMON DM, 1985, J CULT GEOGR, V5, P1, DOI DOI 10.1080/08873638509478545
   Inayatullah S, 1998, FUTURES, V30, P815, DOI 10.1016/S0016-3287(98)00086-X
   Inayatullah S, 2004, CAUSAL LAYERED ANAL
   Jansson Å, 2013, ECOL ECON, V86, P285, DOI 10.1016/j.ecolecon.2012.06.013
   Kahan DM, 2011, J RISK RES, V14, P147, DOI 10.1080/13669877.2010.511246
   Kahan DM, 2010, LAW HUMAN BEHAV, V34, P501, DOI 10.1007/s10979-009-9201-0
   Kahan DM, 2008, J EMPIR LEGAL STUD, V4, P465
   Moir E., 2014, WHAT ARE FUTURE CITI
   O'Riordan T, 1999, GLOBAL ENVIRON CHANG, V9, P81, DOI 10.1016/S0959-3780(98)00030-2
   Pratt Andy., 2014, Cities: The cultural dimension
   Price JC, 2014, J ENVIRON PSYCHOL, V37, P8, DOI 10.1016/j.jenvp.2013.10.001
   Richert C, 2017, SUSTAIN SCI, V12, P45, DOI 10.1007/s11625-016-0384-2
   Ruscio J, 2012, PSYCHOL ASSESSMENT, V24, P282, DOI 10.1037/a0025697
   Steg L, 2000, ENVIRON BEHAV, V32, P250, DOI 10.1177/00139160021972513
   Thompson M., 2015, Coping with change: urban resilience, sustainability, adaptability and path dependence
   Urry J., 2014, LIVING CITY FUTURE C
   Wolfram M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020144
NR 32
TC 3
Z9 3
U1 0
U2 21
PU SPRINGER JAPAN KK
PI TOKYO
PA CHIYODA FIRST BLDG EAST, 3-8-1 NISHI-KANDA, CHIYODA-KU, TOKYO, 101-0065,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD JUL
PY 2017
VL 12
IS 4
BP 611
EP 620
DI 10.1007/s11625-017-0436-2
PG 10
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA EY7DK
UT WOS:000404147800009
DA 2025-04-22
ER

PT J
AU Kaaviya, R
   Devadas, V
AF Kaaviya, R.
   Devadas, V.
TI Water resilience mapping of Chennai, India using analytical hierarchy
   process
SO ECOLOGICAL PROCESSES
LA English
DT Article
DE Water resilience; GIS; Remote sensing; Multi-criteria decision analysis;
   AHP
ID MULTICRITERIA DECISION-MAKING; FLOOD-HAZARD AREAS; CLIMATE-CHANGE;
   FUZZY-AHP; GIS; MANAGEMENT; VULNERABILITY; IMPACT; SCALE
AB Background The urban water system is the worst hit in global climate change. Water resilience is the system's ability to retaliate and recover from various water-related disruptions. The present study aims to delineate the water resilience zones in Chennai city, Tamil Nadu, India, by effectively integrating the geographic information system, remote sensing, and analytical hierarchy process (AHP). Methods The methodology incorporated 15 vital factors. A multi-criteria decision analysis technique was adopted to assign a weight to each parameter using the AHP. A pairwise decision matrix was constructed, parameter's relative importance and the consistency ratio were established. Integration of all maps by weighted overlay analysis technique depicted water resilience intensities of five different classes. Results Very low, low and moderate water resilience areas accounted for more than three-fourth of the study area. Area Under Curve score (80.12%) depicted the accuracy of the developed model. Sensitivity analysis determined the significance of the parameters in the delineation. The logical structural approach can be employed in other parts of India or elsewhere with modifications. Conclusion This study is novel in its approach by holistically analyzing water resilience by integrating disruptions related to flood, drought and the city's water infrastructure system's adequacy and efficiency. Researchers and planners can effectively use the study results to ensure resilience as a new perspective on effective water resource management and climate change mitigation. It becomes a decision aid mechanism identifying where the system is vulnerable to potential water-related risks for employing resilience measures.
C1 [Kaaviya, R.; Devadas, V.] Indian Inst Technol Roorkee, Dept Architecture & Planning, Roorkee 247667, Uttar Pradesh, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Roorkee
RP Kaaviya, R (corresponding author), Indian Inst Technol Roorkee, Dept Architecture & Planning, Roorkee 247667, Uttar Pradesh, India.
EM kaaviya.r@ar.iitr.ac.in
RI Rajarethinam, Kaaviya/ABB-5418-2021
OI , Kaaviya/0000-0002-8574-6914
CR Abebe Y, 2018, J CLEAN PROD, V174, P1629, DOI 10.1016/j.jclepro.2017.11.066
   Achu AL, 2020, GROUNDWATER SUST DEV, V10, DOI 10.1016/j.gsd.2020.100365
   [Anonymous], 1919, CMC Act (The Chennai City Municipal Corporation Act
   Aykut T, 2021, GROUNDWATER SUST DEV, V12, DOI 10.1016/j.gsd.2021.100545
   Basabe Pedro., 2013, Encyclopedia of Natural Hazards, P508, DOI [DOI 10.1007/978-1-4020-4399-4_180, 10.1007/978-1-4020-4399-4180, DOI 10.1007/978-1-4020-4399-4180]
   Benfield Aon, 2016, 2015 ANN GLOBAL CLIM
   Benfield Aon, 2015, Global catastrophe recap: September 2015
   Pham BT, 2016, ENVIRON MODELL SOFTW, V84, P240, DOI 10.1016/j.envsoft.2016.07.005
   Bocchini P, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000177
   Boyaj A, 2018, CLIM DYNAM, V50, P2867, DOI 10.1007/s00382-017-3778-7
   Bremner L, 2020, ENVIRON PLAN E-NAT, V3, P732, DOI 10.1177/2514848619880130
   CMWSSB, LAK STOR LEV
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Desalegn H, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2020.e05865
   Ekmekcioglu Ö, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102327
   Ekmekcioglu Ö, 2021, STOCH ENV RES RISK A, V35, P617, DOI 10.1007/s00477-020-01924-8
   Gogate NG, 2017, J CLEAN PROD, V142, P2046, DOI 10.1016/j.jclepro.2016.11.079
   Government of Tamil Nadu, 2017, REP COMPTR AUD GEN I
   Hasan A, 2018, BUILT ENVIRON PROJ A, V8, P320, DOI 10.1108/BEPAM-10-2017-0080
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hoque MA, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135957
   Jain P, 2019, J HYDROL, V578, DOI 10.1016/j.jhydrol.2019.124131
   Kablan MKA, 2017, WATER-SUI, V9, DOI 10.3390/w9040292
   Kazakis N, 2015, SCI TOTAL ENVIRON, V538, P555, DOI 10.1016/j.scitotenv.2015.08.055
   Khosravi K, 2018, SCI TOTAL ENVIRON, V627, P744, DOI 10.1016/j.scitotenv.2018.01.266
   Kourgialas NN, 2018, SCI TOTAL ENVIRON, V625, P1290, DOI 10.1016/j.scitotenv.2018.01.051
   Kourgialas NN, 2011, HYDROLOG SCI J, V56, P212, DOI 10.1080/02626667.2011.555836
   Kumar PKD, 2007, INT J REMOTE SENS, V28, P5583, DOI 10.1080/01431160601086050
   Mahmoud SH, 2018, J CLEAN PROD, V196, P216, DOI 10.1016/j.jclepro.2018.06.047
   Marlow DR, 2013, WATER RES, V47, P7150, DOI 10.1016/j.watres.2013.07.046
   MASSAM BH, 1988, PROG PLANN, V30, P1, DOI 10.1016/0305-9006(88)90012-8
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Ministry of Urban Development G. of I., LIV STAND CIT
   Mishra AK, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD010986
   Mosadeghi R, 2015, COMPUT ENVIRON URBAN, V49, P54, DOI 10.1016/j.compenvurbsys.2014.10.001
   Msabi MM, 2021, REMOTE SENS APPL, V21, DOI 10.1016/j.rsase.2020.100445
   Mujumdar M., 2020, Droughts and floods. Assessment of climate change over the Indian region: a report of the Ministry of Earth Sciences (MoES), P117, DOI [10.1007/978-981-15-4327-26, DOI 10.1007/978-981-15-4327-26, DOI 10.1007/978-981-15-4327-2_6]
   Mukherjee I, 2020, CATENA, V194, DOI 10.1016/j.catena.2020.104681
   Narasimhan B, 2016, Chennai floods 2015-A rapid assessment
   Ouyang NL, 2011, PROCEDIA ENVIRON SCI, V10, P1926, DOI 10.1016/j.proenv.2011.09.302
   Paul M, 2020, AGR WATER MANAGE, V231, DOI 10.1016/j.agwat.2019.105987
   Periyasamy P., 2018, GEOENVIRONMENTAL DIS, V5, P21, DOI [10.1186/s40677-018-0113-5, DOI 10.1186/S40677-018-0113-5]
   Pohekar SD, 2004, RENEW SUST ENERG REV, V8, P365, DOI 10.1016/j.rser.2003.12.007
   Rajaveni SP, 2016, J CLIM CHANG, V2, P111, DOI 10.3233/JCC-160022
   Rani NNVS, 2015, NAT HAZARDS, V77, P405, DOI 10.1007/s11069-015-1597-x
   Roumeau S, 2015, WATER GOVERNANCE CLI, P1
   Ruet J, 2007, CITIES, V24, P110, DOI 10.1016/j.cities.2006.10.001
   Saaty TL, 2006, J SYST SCI SYST ENG, V15, P457, DOI 10.1007/s11518-006-5021-7
   Saaty TL, 2007, MATH COMPUT MODEL, V46, P962, DOI 10.1016/j.mcm.2007.03.022
   Saaty TL, 2008, RACSAM REV R ACAD A, V102, P251, DOI 10.1007/BF03191825
   Saaty TL., 1980, Agricultural Economics Review, V70, P10
   Sarmah T, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101659
   Saunders WSA, 2015, INT J DISAST RISK RE, V14, P73, DOI 10.1016/j.ijdrr.2015.01.013
   Sirdas S, 2003, HYDROLOG SCI J, V48, P809, DOI 10.1623/hysj.48.5.809.51458
   Sivakumar VL, 2021, MATER TODAY-PROC, V43, P1592, DOI 10.1016/j.matpr.2020.09.657
   Srivastava PK, 2006, INT J REMOTE SENS, V27, P4599, DOI 10.1080/01431160600554983
   UNDP, 1987, HYDR ART RECH STUD M
   Walker B, 2012, RESILIENCE PRACTICE, DOI [10.5822/978-1-61091-231-0, DOI 10.5822/978-1-61091-231-0]
   Wilson J. P., 2000, URISA Journal, V12, P61
   World Resources Institute, 2015, AQ WAT RISK ATL
   Zabihi H, 2020, TOUR MANAG PERSPECT, V36, DOI 10.1016/j.tmp.2020.100726
NR 61
TC 16
Z9 16
U1 1
U2 14
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
EI 2192-1709
J9 ECOL PROCESS
JI Ecol. Process.
PD DEC 8
PY 2021
VL 10
IS 1
AR 71
DI 10.1186/s13717-021-00341-1
PG 22
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XL7NJ
UT WOS:000728328200001
OA gold
DA 2025-04-22
ER

PT J
AU Grimm, NB
   Pickett, STA
   Hale, RL
   Cadenasso, ML
AF Grimm, Nancy B.
   Pickett, Steward T. A.
   Hale, Rebecca L.
   Cadenasso, Mary L.
TI Does the ecological concept of disturbance have utility in urban
   social-ecological-technological systems?
SO ECOSYSTEM HEALTH AND SUSTAINABILITY
LA English
DT Article
ID LAND-USE; PROMOTE NESTEDNESS; COMPARING LARGE; LONG-TERM; RESILIENCE;
   METABOLISM; LANDSCAPE; ECOSYSTEM; DYNAMICS; PATTERNS
AB The ecological concept of disturbance has scarcely been applied in urban systems except in the erroneous but commonplace assumption that urbanization itself is a disturbance and cities are therefore perennially disturbed systems. We evaluate the usefulness of the concept in urban ecology by exploring how a recent conceptual framework for disturbance (Peters et al. 2011, Ecosphere, 2, art 81) applies to these social-ecological-technological systems (SETS). Case studies, especially from the Long-Term Ecological Research sites of Baltimore and Phoenix, are presented to show the applicability of the framework for disturbances to different elements of these systems at different scales. We find that the framework is easily adapted to urban SETS and that incorporating social and technological drivers and responders can contribute additional insights to disturbance research beyond urban systems.
C1 [Grimm, Nancy B.] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA.
   [Grimm, Nancy B.] Arizona State Univ, Julie Ann Wrigley Global Inst Sustainabil, Tempe, AZ 85287 USA.
   [Pickett, Steward T. A.] Cary Inst Ecosyst Studies, Box AB, Millbrook, NY 12545 USA.
   [Hale, Rebecca L.] Idaho State Univ, Dept Biol Sci, Pocatello, ID 83209 USA.
   [Cadenasso, Mary L.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
C3 Arizona State University; Arizona State University-Tempe; Arizona State
   University; Arizona State University-Tempe; Cary Institute of Ecosystem
   Studies; Idaho State University; University of California System;
   University of California Davis
RP Grimm, NB (corresponding author), Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA.; Grimm, NB (corresponding author), Arizona State Univ, Julie Ann Wrigley Global Inst Sustainabil, Tempe, AZ 85287 USA.
EM nbgrimm@asu.edu
RI Grimm, Nancy/D-2840-2009
OI Grimm, Nancy/0000-0001-9374-660X; Pickett, Steward/0000-0002-1899-976X;
   Cadenasso, Mary/0000-0002-6521-067X
FU National Science Foundation [DEB-1027188, DEB-1026865, SES-1444755,
   RCN-1140070, EPSCoR IIA-1301792, EPSCoR IIA-1208732]; Direct For Social,
   Behav & Economic Scie; Division Of Behavioral and Cognitive Sci
   [1444755] Funding Source: National Science Foundation; Division Of
   Environmental Biology; Direct For Biological Sciences [1140070] Funding
   Source: National Science Foundation; Division Of Environmental Biology;
   Direct For Biological Sciences [1140077, 1026865] Funding Source:
   National Science Foundation; Office Of The Director; Office of
   Integrative Activities [1301792] Funding Source: National Science
   Foundation
FX We acknowledge support from the National Science Foundation via the
   following grants: Long-Term Ecological Research Program for work in
   Baltimore (DEB-1027188) and Phoenix (DEB-1026865), the Urban Resilience
   to Extreme Weather-related Events Sustainability Research Network
   (URExSRN; SES-1444755), Urban Sustainability Research Coordination
   Network (RCN-1140070), Innovative Urban Transitions and Aridregion
   Hydro-sustainability (EPSCoR IIA-1301792), and Managing Idaho's
   Landscapes for Ecosystem Services (EPSCoR IIA-1208732). In addition to
   financial support, our work on these projects has informed our thinking
   about urban disturbance and motivated this contribution. We also thank
   the organizers of the Ecological Society of America organized session on
   "The Emergence, Rise, and Future of Urban Ecology in the United States,"
   as well as the "Ecology In, Of, and For Cities" symposium, both at the
   Baltimore meeting, for prompting us to put this long-standing discussion
   into presentation and ultimately manuscript form. Two anonymous
   reviewers provided helpful comments that improved the final manuscript.
CR [Anonymous], 2016, HDB URBANIZATION GLO
   [Anonymous], AN ASS POS 2015
   [Anonymous], 2015, THESIS
   [Anonymous], 1979, Plant strategies and vegetation processes
   [Anonymous], 1995, Biogeochemistry of a Forested Ecosystem
   [Anonymous], FUNDAMENTALS ECOSYST
   [Anonymous], 2013, LONG TERM SOCIO ECOL
   [Anonymous], VIT SIGNS DAT
   [Anonymous], 2052 US GEOL SURV WA
   [Anonymous], 2002, FOREST DYNAMICS DIST
   [Anonymous], 2013, Urban Geogr, DOI DOI 10.2747/0272-3638.3.2.87
   [Anonymous], 2013, Technical Report.
   González-Oreja JA, 2012, LANDSCAPE URBAN PLAN, V104, P9, DOI 10.1016/j.landurbplan.2011.09.001
   Bart D, 2000, OIKOS, V89, P59, DOI 10.1034/j.1600-0706.2000.890107.x
   Bolin B., 2013, URBANIZATION SUSTAIN, P159, DOI DOI 10.1007/978-94-007-5666-310
   Bolin B., 2005, Human Ecology Review, V12, P156
   Boone CG, 2014, STRUNGMANN FORUM REP, P313
   Boone Christopher G., 2010, Urban Ecosystems, V13, P255, DOI 10.1007/s11252-009-0118-7
   Boone Christopher G., 2012, Urbanization and sustainability: Linking urban ecology, environmental justice and global environmental change, V3
   Brunzel S, 2009, J BIOGEOGR, V36, P835, DOI 10.1111/j.1365-2699.2008.02044.x
   Buckley, 2010, AM CONSERVATION IMPU
   Buyantuyev A, 2010, LANDSCAPE ECOL, V25, P17, DOI 10.1007/s10980-009-9402-4
   Cadenasso ML, 2003, BIOSCIENCE, V53, P750, DOI 10.1641/0006-3568(2003)053[0750:AFFATO]2.0.CO;2
   Calizza E, 2012, FRESHWATER BIOL, V57, P2613, DOI 10.1111/fwb.12033
   Campanella R, 2007, J AM HIST, V94, P704, DOI 10.2307/25095131
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Carreiro MM, 2011, AUSTRAL ECOL, V36, P904, DOI 10.1111/j.1442-9993.2010.02237.x
   Chen SQ, 2012, ENVIRON SCI TECHNOL, V46, P4498, DOI 10.1021/es204662k
   Childers DL, 2014, LANDSCAPE URBAN PLAN, V125, P320, DOI 10.1016/j.landurbplan.2014.01.022
   Cho SH, 2011, J ENVIRON PLANN MAN, V54, P71, DOI 10.1080/09640568.2010.502760
   Chow WTL, 2011, J APPL METEOROL CLIM, V50, P1872, DOI 10.1175/JAMC-D-10-05014.1
   CHRISTENSEN NL, 1989, BIOSCIENCE, V39, P678, DOI 10.2307/1310998
   Collins SL, 2011, FRONT ECOL ENVIRON, V9, P351, DOI 10.1890/100068
   Cook EM, 2012, URBAN ECOSYST, V15, P19, DOI 10.1007/s11252-011-0197-0
   Dale VH, 1998, ECOSYSTEMS, V1, P546, DOI 10.1007/s100219900050
   Davidson J, 2012, HUM ECOL RISK ASSESS, V18, P1078, DOI 10.1080/10807039.2012.707935
   Fernández-Juricic E, 2002, OECOLOGIA, V131, P269, DOI 10.1007/s00442-002-0883-y
   Fernández-Juricic E, 2000, BIRD STUDY, V47, P13, DOI 10.1080/00063650009461156
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Gober P, 2002, J PLAN EDUC RES, V21, P379, DOI 10.1177/0739456X0202100403
   GRAF WL, 1975, WATER RESOUR RES, V11, P690, DOI 10.1029/WR011i005p00690
   GRAY LJ, 1981, AM MIDL NAT, V106, P249, DOI 10.2307/2425161
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   GRIMM NB, 1989, J N AM BENTHOL SOC, V8, P293, DOI 10.2307/1467493
   Grove MorganJ., 2015, The Baltimore School of Urban Ecology: Space, Scale and Time for the Study of Cities
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Hopkins KG, 2015, ENVIRON SCI TECHNOL, V49, P2724, DOI 10.1021/es505389y
   IPCC, 2003, 21 SESS IPCC VIENN A, DOI [DOI 10.4324/9781315270326-109, 10.4324/9781315270326-109]
   Jax K, 1998, OIKOS, V82, P253, DOI 10.2307/3546965
   Jenerette GD, 2016, GLOBAL ECOL BIOGEOGR, V25, P1367, DOI 10.1111/geb.12499
   Jenerette GD, 2001, LANDSCAPE ECOL, V16, P611, DOI 10.1023/A:1013170528551
   Johnson E.A., 2007, PLANT DISTURBANCE EC
   Katti M, 2004, TRENDS ECOL EVOL, V19, P109, DOI 10.1016/j.tree.2003.12.006
   Kaye JP, 2006, TRENDS ECOL EVOL, V21, P192, DOI 10.1016/j.tree.2005.12.006
   Kelman Ari., 2003, A River and Its City: The Nature of Landscape in New Orleans
   Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107
   Kimmins JP, 2004, EMULATING NATURAL FOREST LANDSCAPED DISTURBANCES: CONCEPTS AND APPLICATIONS, P8
   Klinenberg E., 2002, Heat Wave: A Social Autopsy of Disaster in Chicago
   Knowles-Yanez K., 1999, Historic land use: Phase I report on generalized land use
   Larson Kelli L., 2014, Cities and the Environment (CATE), V7, P6
   Latzel V, 2008, APPL VEG SCI, V11, P387, DOI 10.3170/2008-7-18487
   Lewis DB, 2006, GLOBAL CHANGE BIOL, V12, P703, DOI 10.1111/j.1365-2486.2006.01126.x
   Li Z, 2012, SAINS MALAYS, V41, P1495
   Likens G.E., 1989, Long-term Studies in Ecology: Approaches and Alternatives
   Liley D, 2003, BIOL CONSERV, V114, P219, DOI 10.1016/S0006-3207(03)00042-9
   Lin T, 2012, ECOL INDIC, V15, P30, DOI 10.1016/j.ecolind.2011.09.018
   Lord C L., 2010, Environmental Law, V40, P551
   Lowry H, 2011, ETHOLOGY, V117, P490, DOI 10.1111/j.1439-0310.2011.01902.x
   Machlis GE, 1997, SOC NATUR RESOUR, V10, P347, DOI 10.1080/08941929709381034
   Markovchick-Nicholls L, 2008, CONSERV BIOL, V22, P99, DOI 10.1111/j.1523-1739.2007.00846.x
   McDonnell M.J., 1993, HUMANS COMPONENTS EC
   Minn M, 2015, APPL GEOGR, V62, P217, DOI 10.1016/j.apgeog.2015.04.023
   Mooney HA., 1983, Disturbance and Ecosystem
   Odum EugeneP., 1997, ECOLOGY BRIDGE SCI S, V3rd
   Olson SherryH., 1980, Baltimore: The Building of an American City
   Orrego R, 2009, HYDROBIOLOGIA, V620, P35, DOI 10.1007/s10750-008-9613-8
   Ostrom E, 2010, ANNU REV POLIT SCI, V13, P1, DOI 10.1146/annurev.polisci.090808.123259
   Peters DPC, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00115.1
   Picket S.T., 1985, ECOLOGY NATURAL DIST
   Pickett S.T. A., 1997, URBAN ECOSYST, V1, P183, DOI DOI 10.1023/A:1018579628818
   PICKETT STA, 1989, OIKOS, V54, P129, DOI 10.2307/3565258
   Pickett STA, 2011, URBAN ECOSYST, V14, P319, DOI 10.1007/s11252-011-0166-7
   Pickett Steward T. A., 2009, Urban Ecosystems, V12, P1, DOI 10.1007/s11252-008-0079-2
   Radeloff VC, 2005, ECOL APPL, V15, P799, DOI 10.1890/04-1413
   Redman CL, 2015, ECOL ETHIC, V2, P269, DOI 10.1007/978-3-319-12133-8_17
   Redman CL, 2004, ECOSYSTEMS, V7, P161, DOI 10.1007/s10021-003-0215-z
   Reed AJ, 2015, P NATL ACAD SCI USA, V112, P12610, DOI 10.1073/pnas.1513127112
   RESH VH, 1988, J N AM BENTHOL SOC, V7, P433, DOI 10.2307/1467300
   Ripplinger J, 2016, LANDSCAPE URBAN PLAN, V153, P140, DOI 10.1016/j.landurbplan.2016.05.009
   Roach WJ, 2008, BIOSCIENCE, V58, P715, DOI 10.1641/B580808
   Roxburgh SH, 2004, ECOLOGY, V85, P359, DOI 10.1890/03-0266
   RYKIEL EJ, 1985, AUST J ECOL, V10, P361, DOI 10.1111/j.1442-9993.1985.tb00897.x
   Sabo JL, 2008, ECOL MONOGR, V78, P19, DOI 10.1890/06-1340.1
   Shane D.G., 2011, Urban Design Since 1945: A Global Perspective, V1
   Simberloff D, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001963
   SOUSA WP, 1984, ANNU REV ECOL SYST, V15, P353, DOI 10.1146/annurev.es.15.110184.002033
   Trammell TLE, 2011, URBAN ECOSYST, V14, P525, DOI 10.1007/s11252-011-0194-3
   Turner MG, 1997, BIOSCIENCE, V47, P758, DOI 10.2307/1313098
   Turner MG, 1998, ECOSYSTEMS, V1, P493, DOI 10.1007/s100219900045
   Turner MG, 2010, ECOLOGY, V91, P2833, DOI 10.1890/10-0097.1
   Walker B, 2004, ECOL SOC, V9
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Warren PS, 2006, ANIM BEHAV, V71, P491, DOI 10.1016/j.anbehav.2005.07.014
   WEATHERHEAD PJ, 1986, AM NAT, V128, P150, DOI 10.1086/284550
   West D.C., 1981, FOREST SUCCESSION CO
   Wolf AJ, 2013, HERPETOLOGICA, V69, P265, DOI 10.1655/HERPETOLOGICA-D-12-00062.1
   WOLMAN A, 1965, SCI AM, V213, P179
   York A, 2014, J URBAN AFF, V36, P833, DOI 10.1111/juaf.12076
   Zhou DQ, 2012, J ORNITHOL, V153, P1101, DOI 10.1007/s10336-012-0839-x
NR 110
TC 107
Z9 132
U1 12
U2 56
PU AMER ASSOC ADVANCEMENT SCIENCE
PI WASHINGTON
PA 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
SN 2096-4129
EI 2332-8878
J9 ECOSYST HEALTH SUST
JI Ecosyst. Health Sustain.
PD JAN
PY 2017
VL 3
IS 1
AR e01255
DI 10.1002/ehs2.1255
PG 18
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EY0KD
UT WOS:000403645900001
OA gold
DA 2025-04-22
ER

PT J
AU Chihambakwe, F
   Moyo, I
AF Chihambakwe, Fidelis
   Moyo, Inocent
TI An Assessment of urban greening challenges and opportunities associated
   with urban densification in the EThekwini Municipality
SO SOUTH AFRICAN GEOGRAPHICAL JOURNAL
LA English
DT Article
DE Densification; sustainable development; green spaces; compact city;
   urban sprawl
ID ECOSYSTEM SERVICES; TRADE-OFFS; SPACE; CITY; INFRASTRUCTURE; IMPACT;
   URBANIZATION; QUALITY; SYSTEMS
AB It is critical that urban densification is accepted as a planning strategy for enhanced, sustainable urban development, especially considering the compacting of urban areas, integrated land uses, reduced land take and the need to conserve urban green spaces. Nevertheless, its implementation has challenged the management of urban green spaces. Densification has created a dilemma in planning as planners battle to provide better green spaces, while simultaneously implementing urban densification projects. This study explores the persistent challenges and opportunities of urban densification in intermediate African cities, using a case study of Umhlanga in the eThekwini Municipality in KwaZulu-Natal, South Africa. The study used a mixed method approach, using questionnaires, unstructured interviews and field observations. The results indicated that urban growth in intermediate towns is dominated by horizontal expansion, despite introducing urban densification policies, which has proved detrimental to ecological conservation. Furthermore, embarking on growth that integrates various land uses is increasingly enhancing those towns' resilience and slowing down urban sprawl. This study shows that transformation in urban planning is essential in integrating ecological conservation in densification projects. Urban densification should not be treated in isolation but involve multiple city stakeholders in several city departments to achieve a broad range of goals.
C1 [Chihambakwe, Fidelis; Moyo, Inocent] Univ Zululand, Dept Geog & Environm Studies, Kwa Dlangezwa, South Africa.
C3 University of Zululand
RP Chihambakwe, F (corresponding author), Univ Zululand, Dept Geog & Environm Studies, Kwa Dlangezwa, South Africa.
EM chihambakwefide@yahoo.com
FU University of Zululand
FX The work was supported by the University of Zululand [Grant].
CR Adebayo A. A., 2012, PAPER PRESENTED 48 I
   [Anonymous], 2020, Municipal Spatial Development Framework 2020-2021
   Arku Godwin., 2009, Urban Forum, V20, P253, DOI [https://doi.org/10.1007/s12132-009-9047-z, DOI 10.1007/S12132-009-9047-Z, 10.1007/s12132-009-9047-z]
   Barger K., 2016, THESIS U KWAZULU NAT
   Berggren C. C., 2017, URBAN DENSITY SUSTAI
   Bibri SE, 2020, DEV BUILT ENVIRON, V4, DOI 10.1016/j.dibe.2020.100021
   Blondel J, 2006, HUM ECOL, V34, P713, DOI 10.1007/s10745-006-9030-4
   Calderón-Contreras R, 2017, ECOSYST SERV, V23, P127, DOI 10.1016/j.ecoser.2016.12.004
   Campbell S, 2020, J RES NURS, V25, P652, DOI 10.1177/1744987120927206
   Colding J, 2020, LAND-BASEL, V9, DOI 10.3390/land9050162
   Coleman B., 2016, DENSIFICATION NEW TR
   Dannenberg AndrewL., 2011, MAKING HLTH PLACES D
   Dogan E, 2017, CITIES, V60, P281, DOI 10.1016/j.cities.2016.09.013
   Du Plessis DJ, 2015, S AFR GEOGR J, V97, P217, DOI 10.1080/03736245.2014.924870
   Duan SP, 2019, APPL ENERG, V235, P129, DOI 10.1016/j.apenergy.2018.10.108
   Edmonds W.A., 2016, APPL GUIDE RES DESIG, V2nd
   Eigenbrod F, 2011, P ROY SOC B-BIOL SCI, V278, P3201, DOI 10.1098/rspb.2010.2754
   El-lipse, 2021, LACK GREEN SPACES CI
   Embarak O., 2021, Procedia Comput. Sci, V191, P57, DOI [10.1016/j.procs.2021.07.011, DOI 10.1016/J.PROCS.2021.07.011]
   Engelberg JK, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-3055-4
   Erlwein S, 2021, URBAN PLAN, V6, P5, DOI 10.17645/up.v6i1.3481
   eThekwini Municipality, 2017, KZN 237 INTEGRATED D
   EThekwini Municipality, 2015, Durban: State of biodiversity Report: 2014/2015
   European Commission, 2014, SUPPORTING IMPLEMENT
   European Commission, 2020, GREEN CITIES INTEGRA
   Fataar R., 2018, DENSIFICATION AMBITI
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Gilles H., 2015, AMSTERDAM NETHERLAND
   Greene M, 2017, HABITAT INT, V68, P15, DOI 10.1016/j.habitatint.2017.03.004
   Gren Å, 2018, SUSTAIN CITIES SOC, V40, P75, DOI 10.1016/j.scs.2018.02.031
   Grêt-Regamey A, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7acf
   Güneralp B, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa94fe
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   HARDIN G, 1968, SCIENCE, V162, P1243, DOI 10.1126/science.162.3859.1243
   Hoffimann E, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14080916
   Holdsworth S., 2019, ENERGY PERFORMANCE A, P181, DOI DOI 10.1007/978-981-10-7880-4_12
   Hordijk M, 2014, ENVIRON URBAN, V26, P130, DOI 10.1177/0956247813519044
   Huang A, 2019, ECOL INDIC, V104, P604, DOI 10.1016/j.ecolind.2019.05.027
   Isidore C., 2016, NIGERIA INT J APPL E, V11, P135
   Jones KR, 2018, ENVIRON HIST-UK, V24, P39, DOI 10.3197/096734018X15137949591837
   Kowarik I, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124964
   Kriticos S., 2018, MAKING ROOM AFRICAS
   Lall S.V., 2017, Africa's Cities: Opening Doors to the World, DOI [DOI 10.1596/978-1-4648-1044-2, 10.1596/978-1-4648-1044-2.]
   LE ROUX A, 2019, Green Book. South Africa's urban future: Growth projections for 2050
   Li FZ, 2019, FORESTS, V10, DOI 10.3390/f10040333
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   Lin BQ, 2018, J CLEAN PROD, V188, P312, DOI 10.1016/j.jclepro.2018.03.293
   Lin B, 2015, URBAN FOR URBAN GREE, V14, P952, DOI 10.1016/j.ufug.2015.09.003
   Liu OY, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102772
   Loram A, 2007, LANDSCAPE ECOL, V22, P601, DOI 10.1007/s10980-006-9051-9
   Madureira H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910643
   Marit J., 2015, NORDIC J ARCHITECTUR, V26, P139
   Marx C., 2003, Global report on human settlements, P195
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McPherson EG, 2011, LANDSCAPE URBAN PLAN, V99, P40, DOI 10.1016/j.landurbplan.2010.08.011
   Mensah C. A., 2014, INT J ECOSYST, V4, P1, DOI DOI 10.5923/j.ije.20140401.01
   Mouton J., 2011, SUCCEED YOUR MASTERS, V15th
   Olanrewaju S. D., 2021, HOUSING SDGS URBAN A, P287
   Pelczynski Janusz, 2019, IOP Conference Series: Earth and Environmental Science, V362, DOI 10.1088/1755-1315/362/1/012106
   Puplampu DA., 2021, Environmental Challenges, V5, P100283, DOI [10.1016/j.envc.2021.100283, DOI 10.1016/J.ENVC.2021.100283]
   Purvis B, 2019, SUSTAIN SCI, V14, P681, DOI 10.1007/s11625-018-0627-5
   SA Property Insider, 2018, RIDGESIDE MIXED USE
   Shitta N. T., 2022, 5 MINUTE CITY
   Sim V, 2016, S AFR GEOGR J, V98, P37, DOI 10.1080/03736245.2015.1052840
   SouthAfrica.com, 2022, UMHLANGA ROCKS COAST
   Steuteville R., 2020, CNU J
   Sugiyama T, 2008, J EPIDEMIOL COMMUN H, V62, DOI 10.1136/jech.2007.064287
   Swilling M., 2005, DEV SO AFR, P1
   Thwala W. D., 2016, PAPER PRESENTED REGE, DOI [https://doi.org/10.12803/SJSECO.48163, DOI 10.12803/SJSECO.48163]
   Todes A, 2018, PROG PLANN, V123, P1, DOI 10.1016/j.progress.2017.03.001
   UN-Habitat, 2015, THE PARIS AGREEMENT
   UN-Habitat, 2019, NATL URBAN POLICIES
   URBACT, 2019, DENSIFICATION CITY C
   Von Thaden J, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127277
   Westerink J, 2013, EUR PLAN STUD, V21, P473, DOI 10.1080/09654313.2012.722927
   WHO, 2022, URBAN GREEN SPACES B
   Williams KatieElizabeth Burton Mike Jenks., 2000, Achieving Sustainable Urban Form
   Wim Z., 2017, SUSTAINABLE HIGH RIS
   World Bank, 2022, URBANIZATION CLIMATE
   Xiao Y, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17030826
   Yang S, 2023, SOC SCI J, V60, P715, DOI [10.1038/s41598-020-62138-0, 10.1080/03623319.2020.1758483]
NR 81
TC 1
Z9 1
U1 3
U2 8
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0373-6245
EI 2151-2418
J9 S AFR GEOGR J
JI S. Afr. Geogr. J.
PD JUL 2
PY 2024
VL 106
IS 3
BP 268
EP 289
DI 10.1080/03736245.2023.2272905
EA NOV 2023
PG 22
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA UX3N1
UT WOS:001132842400001
OA hybrid
DA 2025-04-22
ER

PT J
AU Ren, HB
   Jiang, ZP
   Wu, Q
   Li, QF
   Lv, H
AF Ren, Hongbo
   Jiang, Zipei
   Wu, Qiong
   Li, Qifen
   Lv, Hang
TI Optimal planning of an economic and resilient district integrated energy
   system considering renewable energy uncertainty and demand response
   under natural disasters
SO ENERGY
LA English
DT Article
DE District integrated energy system; Resilience; Extreme natural
   disasters; Renewable energy uncertainty; Demand response
AB A district integrated energy system characterized by multi-energy complementary and supply-demand interaction is a new idea to promote the resilience of urban energy systems. Compared with the post-disaster emergency response and rapid recovery, incorporating the impact of extreme events into the early-stage energy system planning is crucial to improve its resilience. While considering the uncertainty of renewable energy and demand response, this study proposes an optimal planning method which can deal with both economic performance and resilience of a district integrated energy system under extreme natural disasters. Firstly, by employing the kmeans clustering algorithm and the extreme natural hazard modeling method, three typical days and five extreme natural disasters are deduced, respectively. Secondly, the critical load and non-critical load are decomposed according to the energy consumption characteristics of multiple end-users. Thirdly, taking the lowest overall energy cost of the system as the objective function and satisfaction of critical loads as the core constraint, a mathematical model for collaborative optimization of equipment configuration and operation strategy is developed. Finally, the evaluation index of the system resilience is proposed, and the marginal cost of resilience improvement is calculated. According to the simulation results of an illustrative example, the consideration of extreme natural disasters may increase the total system cost by 6.78% within the planning period. Moreover, The marginal cost of resilience improvement increases exponentially with the advancement of system resilience.
C1 [Ren, Hongbo; Jiang, Zipei; Wu, Qiong; Li, Qifen; Lv, Hang] Shanghai Univ Elect Power, Coll Energy & Mech Engn, Shanghai 200090, Peoples R China.
   [Wu, Qiong; Li, Qifen] Shanghai Noncarbon Energy Convers & Utilizat Inst, Shanghai 200240, Peoples R China.
C3 Shanghai University of Electric Power
RP Wu, Q; Li, QF (corresponding author), Shanghai Univ Elect Power, Coll Energy & Mech Engn, Shanghai 200090, Peoples R China.
EM wuqiongrff@shiep.edu.cn; liqifen73@shiep.edu.cn
RI Lv, Hang/MTB-3848-2025; Wu, Qiong/KMY-5295-2024
FU Science and Technology Project of State Grid Corporation of China
   [52094021000C]
FX The research work was supported by Science and Technology Project of
   State Grid Corporation of China (No. 52094021000C, Research on key
   technologies of integrated energy systems in industrial enterprises
   based on multi-energy complementary) .
CR Al-Ghussain L, 2021, SUSTAIN ENERGY TECHN, V46, DOI 10.1016/j.seta.2021.101273
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   [Anonymous], NEW YORK TIMES
   Bao ML, 2020, APPL ENERG, V270, DOI 10.1016/j.apenergy.2020.115136
   Berjawi AEH, 2021, RENEW SUST ENERG REV, V145, DOI 10.1016/j.rser.2021.111163
   [边晓燕 Bian Xiaoyan], 2021, [电工技术学报, Transactions of China Electrotechnical Society], V36, P4529
   Chen BY, 2023, RELIAB ENG SYST SAFE, V229, DOI 10.1016/j.ress.2022.108839
   Clegg S, 2017, 2017 IEEE MANCHESTER POWERTECH
   de Queiroz AR, 2019, ENERGY, V181, P1321, DOI 10.1016/j.energy.2019.05.126
   Guo Z, 2019, IEEE ACCESS, V7, P87513, DOI 10.1109/ACCESS.2019.2924828
   Hoettecke L, 2022, COMPUT CHEM ENG, V162, DOI 10.1016/j.compchemeng.2022.107824
   Jiang T, 2022, IEEE T SMART GRID, V13, P2744, DOI 10.1109/TSG.2022.3157856
   Jing R, 2021, ADV APPL ENERGY, V3, DOI 10.1016/j.adapen.2021.100053
   Khayatzadeh J, 2022, J ENERGY STORAGE, V48, DOI 10.1016/j.est.2022.103999
   Li CZ, 2022, APPL ENERG, V307, DOI 10.1016/j.apenergy.2021.118099
   Li X, 2022, APPL ENERG, V309, DOI 10.1016/j.apenergy.2021.118455
   Liu J, 2021, J ENERGY STORAGE, V33, DOI 10.1016/j.est.2020.102086
   Liu ZQ, 2022, ENERGY, V254, DOI 10.1016/j.energy.2022.124399
   Lu XH, 2020, ENERGY, V197, DOI 10.1016/j.energy.2020.117171
   Mansouri SA, 2021, SUSTAIN ENERGY TECHN, V47, DOI 10.1016/j.seta.2021.101376
   Nagao H, 2017, APPL THERM ENG, V114, P1414, DOI 10.1016/j.applthermaleng.2016.09.061
   Ostovar S, 2021, SUSTAIN ENERGY GRIDS, V28, DOI 10.1016/j.segan.2021.100554
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Ren HB, 2022, ENERGY, V261, DOI 10.1016/j.energy.2022.125333
   Shao CC, 2017, IEEE T POWER SYST, V32, P4418, DOI 10.1109/TPWRS.2017.2672728
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Standardization Administration of the People's Repub, SPECIFIC CONFIGURATI
   [孙强 Sun Qiang], 2020, [电力系统及其自动化学报, Proceedings of the CSU-EPSA], V32, P76
   Wang CS, 2018, APPL ENERG, V230, P1242, DOI 10.1016/j.apenergy.2018.09.042
   Wang CY, 2022, CASE STUD THERM ENG, V30, DOI 10.1016/j.csite.2022.101768
   Wang H, 2022, APPL ENERG, V315, DOI 10.1016/j.apenergy.2022.118824
   Wang YL, 2019, J CLEAN PROD, V225, P563, DOI 10.1016/j.jclepro.2019.03.025
   [肖白 Xiao Bai], 2022, [电力系统自动化, Automation of Electric Power Systems], V46, P37
   Yang DC, 2021, ENERGY, V234, DOI 10.1016/j.energy.2021.121232
   Yang DF, 2020, APPL ENERG, V277, DOI 10.1016/j.apenergy.2020.115491
   Yu X., 2021, INT J ELEC POWER, V38, P1
NR 36
TC 25
Z9 25
U1 21
U2 107
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-5442
EI 1873-6785
J9 ENERGY
JI Energy
PD AUG 15
PY 2023
VL 277
AR 127644
DI 10.1016/j.energy.2023.127644
EA APR 2023
PG 17
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA G7DU0
UT WOS:000990729000001
DA 2025-04-22
ER

PT J
AU Han, Y
   Cai, JM
   Ma, EP
   Du, SS
   Lin, J
AF Han, Yan
   Cai, Jianming
   Ma, Enpu
   Du, Shanshan
   Lin, Jing
TI Understanding Smart City Practice in Urban China: A Governance
   Perspective
SO SUSTAINABILITY
LA English
DT Article
DE smart city; smart city planning; ICT; stakeholder involvement;
   place-making; China
ID CITIES; INNOVATION; MODEL
AB Through an evolution from an emerging marketing narrative to a geographical fact around the globe, smart city is increasingly understood as a city's effort to make itself smart. There seems no single city in the world to be commonly recognized as a real smart city yet, albeit many cities have already tried hard in this missionary commitment. Yet some common features can still be seen and identified, particularly from the urban governance perspective. This article explores the practice of smart city construction in China through a lens of governance by observing the interactive involvement of key stakeholders in the process. By taking three cities (Hangzhou, Wuhan, and Shanghai) in China as study cases, a conceptual framework is established in which three sets of actors, i.e., ICT-related enterprises, government, and civil society, and, accordingly, three types of approaches, i.e., ICT-led, planning-led, and place-making-and-community-oriented, are identified. It is found that the evolution of smart city construction rather follows a nonlinear trajectory and is very dependent on whether or not the primary actors and related stakeholders can form an affirmative acting power in triggering the city's implementation. In other words, there is no "one-size-fits-all" approach to smart city construction. Each city may have its specialization in smartness based on awareness of and respecting its unique existing setting. The empirical study also shows that smart city construction tends to be converged in recognition that the core of smart city is not the smartness of technology but the smartness of all institutions and people enabled to utilize smart tools properly and efficiently in pursuit of people's well-being, institutional capacity building, and better spatial arrangement towards a sustainable, resilient, and inclusive city in and for the future. From a geographical perspective, that is how to build a smart urban space to make the city a better place to not just accommodate but facilitate and meet people's increasing demand for a better life in their living places.
C1 [Han, Yan; Cai, Jianming] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China.
   [Han, Yan; Cai, Jianming; Lin, Jing] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
   [Ma, Enpu] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.
   [Du, Shanshan] Beijing Union Univ, Coll Arts & Sci, Beijing 100191, Peoples R China.
   [Lin, Jing] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS; Hunan Normal University; Beijing Union
   University; Chinese Academy of Sciences; Institute of Geographic
   Sciences & Natural Resources Research, CAS
RP Cai, JM (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China.; Cai, JM (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
EM caijm@igsnrr.ac.cn
RI HAN, YAN/CAJ-2829-2022; du, shanshan/AAE-7491-2022
OI Han, Yan/0000-0002-9689-5771
FU National Natural Science Foundation of China [71734001]; EU [770141]
FX The research is jointly sponsored by the key project from the National
   Natural Science Foundation of China with Grant No. 71734001 and the
   project of TRANS-URBAN-EU-CHINA from the EU Horizon 2020 program with
   Grant No. 770141.
CR Abella A, 2017, CITIES, V64, P47, DOI 10.1016/j.cities.2017.01.011
   ALEXANDER ER, 1989, ENVIRON PLANN B, V16, P127, DOI 10.1068/b160127
   Alexey F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229593
   Ali Cloud City, 2021, CIT BRAIN INT BIG DA
   Angelidou M, 2015, CITIES, V47, P95, DOI 10.1016/j.cities.2015.05.004
   [Anonymous], 2022, NAT IND SCI CIT
   Anttiroiko AV, 2021, INT J E-PLAN RES, V10, P35, DOI 10.4018/IJEPR.20210701.oa3
   Battarra R, 2016, CITIES, V59, P1, DOI 10.1016/j.cities.2016.05.007
   Batty M, 2012, EUR PHYS J-SPEC TOP, V214, P481, DOI 10.1140/epjst/e2012-01703-3
   Boscacci F, 2014, TEMA, P141
   CAICT, 2019, RES REP NEW SMART CI
   CAICT, 2021, WHIT PAP DEV CHIN DI
   Calzada I, 2020, SMART CITIES-BASEL, V3, P1145, DOI 10.3390/smartcities3040057
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Cardullo P, 2019, GEOJOURNAL, V84, P1, DOI 10.1007/s10708-018-9845-8
   Castells M., 1998, ENVIRON PLAN B-URBAN, V25, P631
   Castells M., 1989, INFORMATIONAL CITY I
   Cowley R, 2019, ENVIRON PLANN D, V37, P428, DOI 10.1177/0263775818787506
   D'Auria A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082642
   Dameri RP, 2019, TECHNOL FORECAST SOC, V142, P26, DOI 10.1016/j.techfore.2018.07.025
   DEAKIN Mark., 2014, Triple Helix, V1, P7, DOI [DOI 10.1186/S40604-014-0007-9, 10.1186/s40604-014-0007-9]
   Deloitte, 2018, Super smart city-happier society with higher quality
   Dowling R, 2019, URBAN POLICY RES, DOI 10.1080/08111146.2019.1674647
   Faludi A., 1989, Impact Assessement Bulletin, V7, P135, DOI [10.1080/07349165.1989.9726017, DOI 10.1080/07349165.1989.9726017]
   Fang Y., 2017, J HENAN NORM UNIV, V44, P54
   Farhan S.L., 2022, J. Urban Regen. Renew, V15, P293
   Farhan SL, 2022, J CULT HERIT MANAG S, V12, P513, DOI 10.1108/JCHMSD-01-2020-0002
   Giffinger Rudolf., 2007, City-ranking of European medium-sized cities
   Hall P, 2011, URBAN AND REGIONAL PLANNING, FIFTH EDITION, P1
   Hangzhou Municipal Government, 2019, PLAN CIT BRAIN HANGZ
   Huawei Shanghai Smart City Development Institute, 2021, WHIT PAP URB DIG TRA
   Lee J, 2014, GOV INFORM Q, V31, pS93, DOI 10.1016/j.giq.2014.01.010
   Lehofer M, 2016, 2016 1ST INTERNATIONAL WORKSHOP ON SCIENCE OF SMART CITY OPERATIONS AND PLATFORMS ENGINEERING (SCOPE) IN PARTNERSHIP WITH GLOBAL CITY TEAMS CHALLENGE (GCTC) (SCOPE - GCTC)
   Lim C, 2018, CITIES, V82, P86, DOI 10.1016/j.cities.2018.04.011
   [刘彦随 Liu Yansui], 2020, [地理科学, Scientia Geographica Sinica], V40, P1221
   Lombardi P, 2012, INNOVATION-ABINGDON, V25, P137, DOI 10.1080/13511610.2012.660325
   Merkel A, 2018, DAV
   Moser S, 2015, DIALOGUES HUM GEOGR, V5, P31, DOI 10.1177/2043820614565867
   Nam T., 2011, Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2011), September 26-28, Tallinn, Estonia, P185, DOI [DOI 10.1145/2072069.2072100, 10.1145/2072069.2072100]
   Neirotti P, 2014, CITIES, V38, P25, DOI 10.1016/j.cities.2013.12.010
   nonews, TOMTOM TRAFF IND 201
   Norgaard RB, 2005, ECOL ECON, V54, P362, DOI 10.1016/j.ecolecon.2005.03.014
   Official Website of Hangzhou Municipal Government, US
   Qin B., 2021, Digital Law Journal, V2, P29, DOI 10.38044/2686-9136-2021-2-1-29-47
   Sadowski J, 2020, TELEMAT INFORM, V55, DOI 10.1016/j.tele.2020.101449
   Sadowski J, 2020, URBAN GEOGR, V41, P448, DOI 10.1080/02723638.2020.1721055
   SALOMON I, 1986, TRANSPORT RES A-POL, V20, P223, DOI 10.1016/0191-2607(86)90096-8
   Sepasgozar SME, 2019, TECHNOL FORECAST SOC, V142, P105, DOI 10.1016/j.techfore.2018.09.012
   Shanghai Development Research Center of Economy and Informatization, 2020, ASS REP PERF SHANGH
   Shanghai Municipal Commission of Economy and Informatization, 2014, ACT PLAN PROM SMART
   Shanghai Municipal Commission of Economy and Informatization, 2011, ACT PLAN PROM SMART
   Shanghai Municipal Government, 2018, SHANGH URB MAST PLAN
   Shanghai Municipal Government, 2016, 13 5 YEAR PLAN PROM
   Shanghai Municipal People's Government, 2021, Shanghai's 14th five-year plan for comprehensively promoting urban digital transformation
   Shapiro JM, 2006, REV ECON STAT, V88, P324, DOI 10.1162/rest.88.2.324
   Shelton T, 2015, CAMB J REG ECON SOC, V8, P13, DOI 10.1093/cjres/rsu026
   Sunstein C, 2006, Infotopia: How many minds produce knowledge
   Tan SY, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030899
   Tsinghua University, 2018, WHIT PAP SMART SOC S
   van der Graaf S, 2019, TECHNOL FORECAST SOC, V142, P364, DOI 10.1016/j.techfore.2018.07.027
   weforum, THES AR MOST CONG CI
   Winters JV, 2011, J REGIONAL SCI, V51, P253, DOI 10.1111/j.1467-9787.2010.00693.x
   Working Group on Smart City Standards from National Information Standardization Committee, 2022, WHIT PAP DEV CIT BRA
   Wu C., 1991, Econ Geogr, V11, P1, DOI DOI 10.15957/J.CNKI.JJDL.1991.03.001
   Wuhan Municipal Service and Big Data Administration Bureau, 2022, 14 5 YEAR PLAN NEW S
   Zhen F, 2021, URBAN PLAN FORUM, V6, P45
NR 66
TC 3
Z9 3
U1 16
U2 61
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR 22
PY 2023
VL 15
IS 9
AR 7034
DI 10.3390/su15097034
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA G3FY6
UT WOS:000988067800001
OA gold
DA 2025-04-22
ER

PT J
AU Assaf, G
   Assaad, RH
AF Assaf, Ghiwa
   Assaad, Rayan H.
TI Development and Validation of a Heat Resilience Index: Measuring
   Communities Resilience to Extreme Heat Events
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
ID SOCIAL VULNERABILITY; LAND-USE; ISLAND; CITY; CONSTRUCTION; HEALTH;
   IMPACT; CITIES; COVER
AB The level of preparedness of communities to heat-related consequences varies. While several studies have developed heat vulnerability indices, little-to-no research efforts were directed to assess the heat resilience of communities. To that extent, this paper develops and validates a heat resilience index (HRI). First, a dataset of 44 indicators affecting heat resilience was collected and grouped into five categories: sociodemographic, land use/land cover (LULC), health facilities, meteorological, and geographic factors. Second, principal component analysis (PCA) was used to calculate the weights or importance of each indicator. Based on the calculated weights, five heat resilience subindices were developed for the five categories. Third, the overall HRI was developed as a weighted average of the five calculated subindices. Fourth, the developed HRI was scientifically validated based on real-world heat-related illnesses data. The HRI was demonstrated for the State of New Jersey, where the results showed that more than 71% of the studied census tracts have a poor resilience toward heat waves. Furthermore, the results highlighted that the following indicators affect heat resilience the most: median income, poverty, percentage of people younger than 5 years old, land area, building area, annual Normalized Difference Vegetation Index (NDVI), summer NDVI, number of hospitals, mean annual temperature, minimum temperature, maximum temperature, and urban elevation. Also, the results identified the LULC category as the most influential category on the overall heat resilience. The findings could assist in developing appropriate heat management and mitigation plans to enhance communities' ability to resist future heat waves, where the same method could be used to assess heat resilience for other states and countries worldwide through developing the associated dataset. Ultimately, this research adds to the body of knowledge by proposing a structured framework for developing a novel heat resilience index based on a comprehensive list of 44 indicators.
C1 [Assaf, Ghiwa] Gedeon GRC Consulting, Newark, NJ 07102 USA.
   [Assaf, Ghiwa; Assaad, Rayan H.] New Jersey Inst Technol, Dept Civil & Environm Engn, Newark, NJ 07102 USA.
   [Assaad, Rayan H.] Smart Construct & Intelligent Infrastructure Syst, Construct & Civil Infrastructure, Newark, NJ 07102 USA.
C3 New Jersey Institute of Technology
RP Assaad, RH (corresponding author), New Jersey Inst Technol, Dept Civil & Environm Engn, Newark, NJ 07102 USA.; Assaad, RH (corresponding author), Smart Construct & Intelligent Infrastructure Syst, Construct & Civil Infrastructure, Newark, NJ 07102 USA.
EM ga338@njit.edu; rayan.hassane.assaad@njit.edu
OI H. Assaad, Rayan/0000-0003-4626-5656
CR Abdi H, 2010, WIRES COMPUT STAT, V2, P433, DOI 10.1002/wics.101
   Abdrabo KI, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101426
   Abrar R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14094945
   Aneja S., 2019, P 5 INT C COUNT URB
   [Anonymous], 2022, EPA
   Asmamaw M, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0219393
   Assaf G., 2023, Urban Clim., V55, DOI [10.3390/su14094945, DOI 10.3390/SU14094945]
   Assaf G., 2023, COMPUTING CIVIL ENG
   Assaf G, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101570
   Assaf G, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15118527
   Assaf G, 2023, J INFRASTRUCT SYST, V29, DOI 10.1061/JITSE4.ISENG-2225
   Astrom D. O., 2011, Maturitas, V69, P99, DOI 10.1016/j.maturitas.2011.03.008
   Bakhsh K, 2018, SUSTAIN CITIES SOC, V41, P95, DOI 10.1016/j.scs.2018.05.021
   Bao JZ, 2015, INT J ENV RES PUB HE, V12, P7220, DOI 10.3390/ijerph120707220
   Barasa E, 2018, INT J HEALTH POLICY, V7, P491, DOI 10.15171/ijhpm.2018.06
   Basara JB, 2010, ADV METEOROL, V2010, DOI 10.1155/2010/230365
   Bernabeu P., 2020, Dutch modality exclusivity norms for 336 properties and 411 concepts
   Bhakar S S., 2013, Far East Journal of Psychology and Business, V10, P25
   Bhattacharjee S., 2019, IOP Conference Series: Earth and Environmental Science, V290, DOI 10.1088/1755-1315/290/1/012162
   Chakraborty T C, 2020, Mendeley Data, DOI 10.17632/X9MV4KRNM2.3
   Conlon KC, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP4030
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Dong WH, 2014, SUSTAINABILITY-BASEL, V6, P7334, DOI 10.3390/su6107334
   EPA (United States Environmental Protection Agency), 2022, Heat Island impacts
   Feinberg A, 2020, SN APPL SCI, V2, DOI 10.1007/s42452-020-03889-3
   Fernandez P, 2016, PHYS CHEM EARTH, V94, P47, DOI 10.1016/j.pce.2016.04.003
   Fitzpatrick R., 2022, Improving resilience, adaptation and mitigation to cimate change through education in low-and lower-middle income countries K4D Helpdesk Report
   Gaur A, 2018, J ENVIRON MANAGE, V206, P145, DOI 10.1016/j.jenvman.2017.10.002
   Gilani H, 2020, ECOL INDIC, V111, DOI 10.1016/j.ecolind.2019.106049
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Hsieh CM, 2023, J URBAN PLAN DEV, V149, DOI 10.1061/JUPDDM.UPENG-3923
   Hu YP, 2016, PROCEDIA ENGINEER, V169, P166, DOI 10.1016/j.proeng.2016.10.020
   Hu YF, 2020, J ENVIRON MANAGE, V266, DOI 10.1016/j.jenvman.2020.110424
   Huang GL, 2011, J ENVIRON MANAGE, V92, P1753, DOI 10.1016/j.jenvman.2011.02.006
   Hyde K. L., 2022, Masters Projects and Capstones, P1349
   Jourdain J., 2022, The Impact of Peaker Plants on New York City Residents
   Joynt J. L., 2019, Development of the Auckland heat vulnerability index
   Keith L., 2022, Planning for urban heat resilience
   Kettlewell PeterS., 2003, Weather, V58, P155, DOI DOI 10.1256/WEA.38.02
   Kotharkar R, 2016, J URBAN PLAN DEV, V142, DOI 10.1061/(ASCE)UP.1943-5444.0000277
   Kwagala NK, 2020, J SPACE WEATHER SPAC, V10, DOI 10.1051/swsc/2020034
   Kwon YJ, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17030963
   Lan HN, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103172
   Lee W.S., 2009, P 7 INT C URB CLIM Y
   Liang BQ, 2008, J URBAN PLAN DEV, V134, P129, DOI 10.1061/(ASCE)0733-9488(2008)134:3(129)
   Lim J, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11060558
   Liu X, 2020, COMPLEXITY, V2020, DOI 10.1155/2020/9717658
   Loughner CP, 2012, J APPL METEOROL CLIM, V51, P1775, DOI 10.1175/JAMC-D-11-0228.1
   Makido Y, 2016, CLIMATE, V4, DOI 10.3390/cli4020032
   Mallen E, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100528
   Manik T., 2017, Br. J. Environ. Clim. Change, V7, P119, DOI [10.9734/BJECC/2017/33529, DOI 10.9734/BJECC/2017/33529]
   Martchamadol J, 2013, APPL ENERG, V103, P653, DOI 10.1016/j.apenergy.2012.10.027
   Moon SY, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000414
   Morawetz UB, 2017, J URBAN PLAN DEV, V143, DOI 10.1061/(ASCE)UP.1943-5444.0000384
   Naraei P, 2017, CAN CON EL COMP EN
   Nayak SG, 2018, PUBLIC HEALTH, V161, P127, DOI 10.1016/j.puhe.2017.09.006
   Niu YL, 2021, CURR CLIM CHANGE REP, V7, P87, DOI 10.1007/s40641-021-00173-3
   Nuruzzaman M., 2015, INT J ENV MONITORING, V3, P67, DOI DOI 10.11648/J.IJEMA.20150302.15
   Ozkan S, 2009, COMPUT EDUC, V53, P1285, DOI 10.1016/j.compedu.2009.06.011
   Reckien D, 2018, REG ENVIRON CHANGE, V18, P1439, DOI 10.1007/s10113-017-1273-7
   Robertson I, 2013, STRESS HEALTH, V29, P175, DOI 10.1002/smi.2512
   Rushayati S. B., 2018, P AVIATION FORUM 201, V32, P1, DOI [10.23917/forgeo.v32i1.5289, DOI 10.23917/FORGEO.V32I1.5289]
   Sanchez L, 2019, URBAN FOR URBAN GREE, V44, DOI 10.1016/j.ufug.2019.04.014
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Sarofim M.C., 2016, The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment, P43, DOI DOI 10.7930/J0MG7MDX
   Schmeltz MT, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118958
   Schwarz N, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000263
   Shah A, 2021, LANDSCAPE URBAN PLAN, V209, DOI 10.1016/j.landurbplan.2021.104043
   Shahfahad, 2022, ENVIRON DEV SUSTAIN, V24, P3762, DOI 10.1007/s10668-021-01587-7
   Shao JJ, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000619
   Singh p, 2020, Malaria risk and vulnerability of communities due to climate change in India
   Su WZ, 2010, J URBAN PLAN DEV, V136, P365, DOI 10.1061/(ASCE)UP.1943-5444.0000033
   Susca T, 2022, RENEW SUST ENERG REV, V159, DOI 10.1016/j.rser.2022.112100
   Tan JG, 2010, INT J BIOMETEOROL, V54, P75, DOI 10.1007/s00484-009-0256-x
   Tang JM, 2017, INT J REMOTE SENS, V38, P3445, DOI 10.1080/01431161.2017.1295485
   Thornes JE, 2001, METEOROL APPL, V8, P307, DOI 10.1017/S1350482701003061
   Tiwari A, 2021, ENVIRON POLLUT, V274, DOI 10.1016/j.envpol.2020.115898
   Tzavali A, 2015, FRESEN ENVIRON BULL, V24, P4535
   UNICEF, 2023, UNICEF
   United Nations, 2023, World population prospects 2023 highlights
   Voelkel J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040640
   Weber S, 2015, APPL GEOGR, V63, P231, DOI 10.1016/j.apgeog.2015.07.006
   WOLD S, 1987, CHEMOMETR INTELL LAB, V2, P37, DOI 10.1016/0169-7439(87)80084-9
   Wolf T, 2014, WEATHER CLIM SOC, V6, P32, DOI 10.1175/WCAS-D-13-00014.1
   Wong MS, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13030317
   Wouyou HG, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09022
   Wu T, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.108006
   Wunderlich RF., 2019, Nature Conserv., V35, P116, DOI [10.3897/natureconservation.35.33918, DOI 10.3897/NATURECONSERVATION.35.33918]
   Yang JX, 2021, INT J CLIMATOL, V41, pE3219, DOI 10.1002/joc.6919
   Yao X, 2022, J CLEAN PROD, V330, DOI 10.1016/j.jclepro.2021.129852
   Yoon DK, 2012, NAT HAZARDS, V63, P823, DOI 10.1007/s11069-012-0189-2
   You YL, 2022, IEEE J-STARS, V15, P1411, DOI 10.1109/JSTARS.2022.3140768
   Zhang Chao, 2021, 2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM), P871, DOI 10.1109/ICEKIM52309.2021.00197
   Zhang LK, 2022, LAND-BASEL, V11, DOI 10.3390/land11040544
   Zhang W, 2021, NAT HAZARDS, V106, P349, DOI 10.1007/s11069-020-04466-y
   Zhang Y, 2021, CHINESE GEOGR SCI, V31, P659, DOI 10.1007/s11769-021-1215-7
   Zhu Q, 2014, GLOBAL HEALTH ACTION, V7, DOI 10.3402/gha.v7.25051
   Zuzak C, 2022, NAT HAZARDS, V114, P2331, DOI 10.1007/s11069-022-05474-w
NR 98
TC 0
Z9 0
U1 27
U2 27
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9488
EI 1943-5444
J9 J URBAN PLAN DEV
JI J. Urban Plan. Dev
PD DEC 1
PY 2024
VL 150
IS 4
AR 04024034
DI 10.1061/JUPDDM.UPENG-4646
PG 15
WC Engineering, Civil; Regional & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Public Administration; Urban Studies
GA J3Z4O
UT WOS:001336478000021
DA 2025-04-22
ER

PT J
AU Schwanghart, W
   Agarwal, A
   Cook, K
   Ozturk, U
   Shukla, R
   Fuchs, S
AF Schwanghart, Wolfgang
   Agarwal, Ankit
   Cook, Kristen
   Ozturk, Ugur
   Shukla, Roopam
   Fuchs, Sven
TI Preface: Estimating and predicting natural hazards and vulnerabilities
   in the Himalayan region
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID TIME-SERIES; LANDSLIDE; THRESHOLDS; EARTHQUAKE; VALLEY; MODEL; CITY
AB This special issue focuses on natural hazards and risks in the Himalayan region. Nine research articles address critical gaps in research, from compiling avalanche databases to developing early warning systems for landslides and assessing flood risk and vulnerabilities in urban areas. By fostering interdisciplinary collaboration and leveraging advanced methods, the research presented in this special issue contributes to building safer and more resilient communities in the Himalayan region.
C1 [Schwanghart, Wolfgang; Ozturk, Ugur] Univ Potsdam, Inst Environm Sci & Geog, D-14476 Potsdam, Germany.
   [Agarwal, Ankit] Indian Inst Technol Roorkee, Dept Hydrol, Roorkee 247667, Uttarakhand, India.
   [Cook, Kristen] Grenoble Alpes Univ, ISTerre, IRD, Grenoble, France.
   [Ozturk, Ugur] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, Potsdam, Germany.
   [Shukla, Roopam] Indian Inst Technol Roorkee, Ctr Excellence Disaster Mitigat & Management, Roorkee 247667, Uttarakhand, India.
   [Fuchs, Sven] BOKU Univ, Dept Civil Engn & Nat Hazards, A-1190 Vienna, Austria.
C3 University of Potsdam; Indian Institute of Technology System (IIT
   System); Indian Institute of Technology (IIT) - Roorkee; Communaute
   Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD); Universite Gustave-Eiffel; Universite Savoie
   Mont Blanc; Helmholtz Association; Helmholtz-Center Potsdam GFZ German
   Research Center for Geosciences; Indian Institute of Technology System
   (IIT System); Indian Institute of Technology (IIT) - Roorkee; BOKU
   University
RP Schwanghart, W (corresponding author), Univ Potsdam, Inst Environm Sci & Geog, D-14476 Potsdam, Germany.
EM schwangh@uni-potsdam.de
RI Schwanghart, Wolfgang/U-2681-2019; Cook, Kristen/KYR-4993-2024; AGARWAL,
   ANKIT/X-6301-2018; Ozturk, Ugur/ADK-8743-2022; Fuchs, Sven/F-4208-2012
OI Ozturk, Ugur/0000-0002-7641-4344; Schwanghart,
   Wolfgang/0000-0001-6907-6474; Fuchs, Sven/0000-0002-0644-2876; Cook,
   Kristen/0000-0003-2355-4877
FU UGC; DAAD [57553291]
FX This research has been supported by the UGC and DAAD (grant no.
   57553291).
CR Acharya A, 2023, NAT HAZARD EARTH SYS, V23, P2569, DOI 10.5194/nhess-23-2569-2023
   Adhikari T. R., 2023, Nat. Hazards Res., V3, P437, DOI [10.1016/j.nhres.2023.07.001, DOI 10.1016/J.NHRES, DOI 10.1016/J.NHRES.2023.07.001]
   Allen SK, 2016, LANDSLIDES, V13, P1479, DOI 10.1007/s10346-015-0584-3
   Behling R, 2016, REMOTE SENS ENVIRON, V186, P88, DOI 10.1016/j.rse.2016.07.017
   Burrows K, 2022, NAT HAZARD EARTH SYS, V22, P2637, DOI 10.5194/nhess-22-2637-2022
   Chevuturi A, 2016, NAT HAZARDS, V82, P1703, DOI 10.1007/s11069-016-2264-6
   Chouhan S, 2023, NAT HAZARD EARTH SYS, V23, P1267, DOI 10.5194/nhess-23-1267-2023
   Dikshit A, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10072466
   Dille A, 2022, NAT GEOSCI, V15, P1048, DOI 10.1038/s41561-022-01073-3
   Dixit S, 2024, NAT HAZARD EARTH SYS, V24, P465, DOI 10.5194/nhess-24-465-2024
   Fayaz M, 2023, NAT HAZARD EARTH SYS, V23, P1593, DOI 10.5194/nhess-23-1593-2023
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer M, 2022, NAT HAZARD EARTH SYS, V22, P3105, DOI 10.5194/nhess-22-3105-2022
   Fort M, 1987, Z GEOMORPH S, V63, P9
   Fuchs S, 2013, NAT HAZARDS, V68, P1217, DOI 10.1007/s11069-012-0508-7
   Gahalaut VK, 2023, GEOMAT NAT HAZ RISK, V14, DOI 10.1080/19475705.2023.2263622
   Gariano SL, 2023, PROGR LANDSLIDE RES, P409, DOI [10.1007/978-3-031-16898-727, DOI 10.1007/978-3-031-16898-7_27]
   Hearn GJ, 2017, Q J ENG GEOL HYDROGE, V50, P69, DOI 10.1144/qjegh2016-109
   Hülssiep M, 2021, DISASTERS, V45, P577, DOI 10.1111/disa.12437
   IPCC, 2021, CLIMATE CHANGE 2021, P3, DOI [10.1017/9781009325844, DOI 10.1017/9781009157896.001, 10.1017/9781009157896.001, DOI 10.1017/9781009157926, 10.1017/CBO9781107415324, DOI 10.1017/CBO9781107415324]
   Jones JN, 2021, J GEOPHYS RES-EARTH, V126, DOI 10.1029/2021JF006067
   Kanungo DP, 2014, LANDSLIDES, V11, P629, DOI 10.1007/s10346-013-0438-9
   Kargel JS, 2016, SCIENCE, V351, DOI 10.1126/science.aac8353
   Kashyap A, 2024, GLOBAL PLANET CHANGE, V240, DOI 10.1016/j.gloplacha.2024.104540
   Kirschbaum D, 2015, GEOMORPHOLOGY, V249, P4, DOI 10.1016/j.geomorph.2015.03.016
   Korup O, 2009, QUATERNARY SCI REV, V28, P977, DOI 10.1016/j.quascirev.2009.02.021
   Kron W, 2016, WATER POLICY, V18, P9, DOI [10.2166/wp.2016.111, 10.2166/wp.2015.001]
   Malgwi MB, 2020, NAT HAZARD EARTH SYS, V20, P2067, DOI 10.5194/nhess-20-2067-2020
   Martha TR, 2021, LANDSLIDES, V18, P2125, DOI 10.1007/s10346-021-01645-1
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Mathew J, 2014, LANDSLIDES, V11, P575, DOI 10.1007/s10346-013-0408-2
   McClung DM, 2016, ANN GLACIOL, V57, P114, DOI 10.3189/2016AoG71A075
   Mesta C, 2023, NAT HAZARD EARTH SYS, V23, P711, DOI 10.5194/nhess-23-711-2023
   Mey J, 2024, NAT HAZARD EARTH SYS, V24, P3207, DOI 10.5194/nhess-24-3207-2024
   Ozturk U, 2021, LANDSLIDES, V18, P681, DOI 10.1007/s10346-020-01485-5
   Patton AI, 2023, NAT HAZARD EARTH SYS, V23, P3261, DOI 10.5194/nhess-23-3261-2023
   Raghuvanshi AS, 2024, ATMOS RES, V304, DOI 10.1016/j.atmosres.2024.107401
   Rawat DS, 1997, MT RES DEV, V17, P117, DOI 10.2307/3673826
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Richardson SD, 2000, QUATERN INT, V65-6, P31, DOI 10.1016/S1040-6182(99)00035-X
   Roback K, 2018, GEOMORPHOLOGY, V301, P121, DOI 10.1016/j.geomorph.2017.01.030
   Rusk J, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150039
   Sattar A, 2021, GEOMORPHOLOGY, V388, DOI 10.1016/j.geomorph.2021.107783
   Sattar A, 2019, SCI TOTAL ENVIRON, V668, P362, DOI 10.1016/j.scitotenv.2019.02.388
   Schwanghart W, 2018, GEOPHYS RES LETT, V45, P8985, DOI 10.1029/2018GL079173
   Schwanghart W, 2016, SCIENCE, V351, P147, DOI 10.1126/science.aac9865
   Shah B, 2024, NAT HAZARDS, V120, P1319, DOI 10.1007/s11069-023-06254-w
   Shugar DH, 2021, SCIENCE, V373, P300, DOI 10.1126/science.abh4455
   Srivastava P, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13020267
   Sundriyal Y, 2023, NAT HAZARD EARTH SYS, V23, P1425, DOI 10.5194/nhess-23-1425-2023
   Williams JG, 2018, NAT HAZARD EARTH SYS, V18, P185, DOI 10.5194/nhess-18-185-2018
NR 51
TC 0
Z9 0
U1 2
U2 3
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PD SEP 27
PY 2024
VL 24
IS 9
BP 3291
EP 3297
DI 10.5194/nhess-24-3291-2024
PG 7
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA H0A7M
UT WOS:001320166800001
OA gold
DA 2025-04-22
ER

PT J
AU Suleimany, M
   Mokhtarzadeh, S
   Sharifi, A
AF Suleimany, Mahdi
   Mokhtarzadeh, Safoora
   Sharifi, Ayyoob
TI Community resilience to pandemics: An assessment framework developed
   based on the review of COVID-19 literature
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Review
DE Urban community resilience; Pandemics; COVID-19; Systematic literature
   review; Assessment framework
ID MANAGEMENT; HEALTH; SHOCK
AB The COVID-19 outbreak in 2019 and the challenges it posed to communities around the world, demonstrated the necessity of enhancing the resilience of communities to pandemics. In this regard, assessment frameworks can play an essential role and guide resilience-building efforts. However, the lack of a comprehensive assessment framework has led to a focus on sectoral evaluation. This study aims to propose an integrated framework for assessing the pandemic resilience of communities. For this purpose, we rely on a systematic review of literature indexed in major academic databases. We have thoroughly analyzed a total number of 115 related doc-uments to extract relevant criteria. Findings show that many criteria and factors affect community resilience to pandemics. By inductive content coding in MAXQDA software, we have categorized these criteria into five dimensions of Institutional, Social, Economic, Infrastructural, and De-mographic. Good leadership and management, insurance and governmental support, planning and preparation, expertise and labor, and available equipment and technologies are the most important institutional criteria. Communication and collective identity, mutual support, public safety and protection, public awareness, and social justice are the influential social criteria. Economic sustainability and resource availability are criteria of economic resilience. Sufficiency of services, public spaces, housing tenure, and transportation system are the main criteria related to the built environment and infrastructural dimension. Finally, demographic resilience includes physical health, psychological well-being, life quality, and hygiene. Based on these criteria, this study develops an integrated evaluation framework that researchers can implement along with conventional assessment and ranking methods to determine the level of community resilience to pandemics.
C1 [Suleimany, Mahdi] Univ Tehran, Urban Planning & Management, Tehran, Iran.
   [Mokhtarzadeh, Safoora] Daneshpajoohan Pishro Inst, Fac Architecture & Urbanism, Dept Urbanism, Esfahan, Iran.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Humanities & Social Sci, Higashihiroshima, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Adv Sci & Engn Japan, Higashihiroshima, Japan.
   [Sharifi, Ayyoob] Network Educ & Res Peace & Sustainabil NERPS, Higashihiroshima, Japan.
C3 University of Tehran; Hiroshima University; Hiroshima University
RP Sharifi, A (corresponding author), 1-3-1 Kagamiyama, Higashihiroshima, Hiroshima 7398530, Japan.
EM mi.suleimany@gmail.com; s.mokhtarzadeh@daneshpajoohan.ac.ir;
   sharifi@hiroshima-u.ac.jp
RI Mokhtarzadeh, Safoora/KLZ-7900-2024; Suleimany, Mahdi/ABZ-6007-2022;
   Sharifi, Ayyoob/M-7584-2013
OI Suleimany, Mahdi/0000-0002-6475-4931; Sharifi,
   Ayyoob/0000-0002-8983-8613
CR Abu-Rayash A, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2020.102704
   Acharya R, 2020, LANCET GLOB HEALTH, V8, pE1142, DOI 10.1016/S2214-109X(20)30300-4
   Acuto M, 2020, ONE EARTH, V2, P317, DOI 10.1016/j.oneear.2020.04.004
   Afrin S, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.668263
   Aghapour AH, 2019, J BUILD ENG, V26, DOI 10.1016/j.jobe.2019.100853
   Ahmed SAKS, 2020, BMJ GLOB HEALTH, V5, DOI 10.1136/bmjgh-2020-003042
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Aitsi-Selmi A, 2015, INT J DISAST RISK SC, V6, P164, DOI 10.1007/s13753-015-0050-9
   Akter S, 2021, J URBAN MANAG, V10, P325, DOI 10.1016/j.jum.2021.08.003
   ALGAHTANI FD, INT ENV RES PUBL HLT, V18, DOI DOI 10.3390/IJERPH18030847
   Alizadeh H, 2022, URBAN SCI, V6, DOI 10.3390/urbansci6010014
   Allam Z, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104805
   Alonge O, 2019, GLOBAL HEALTH ACTION, V12, DOI 10.1080/16549716.2019.1662682
   [Anonymous], 2014, Guidelines for resilience systems analysis
   Asadzadeh A, 2022, CITIES, V125, DOI 10.1016/j.cities.2022.103642
   Austin Z, 2021, RES SOC ADMIN PHARM, V17, P1867, DOI 10.1016/j.sapharm.2020.05.027
   Banai R, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102929
   Bassett HR, 2021, WORLD DEV, V143, DOI 10.1016/j.worlddev.2021.105473
   Beninger S, 2022, BUS HORIZONS, V65, P227, DOI 10.1016/j.bushor.2021.02.048
   Bhaskara GI, 2021, J HOSP TOUR MANAG, V46, P364, DOI 10.1016/j.jhtm.2021.01.011
   Bindal S., 2020, INTEGRATED RISK PAND, DOI [10.1007/978-981-15-7679-9_23, DOI 10.1007/978-981-15-7679-9_23]
   Borsekova K, 2018, INT J DISAST RISK RE, V31, P381, DOI 10.1016/j.ijdrr.2018.05.012
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bryce C, 2020, J RISK RES, V23, P880, DOI 10.1080/13669877.2020.1756379
   Bukuluki Paul, 2020, Soc Sci Humanit Open, V2, P100045, DOI 10.1016/j.ssaho.2020.100045
   Butler CD, 2020, CURR OPIN ENV SUST, V46, P3, DOI 10.1016/j.cosust.2020.10.005
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Campisi T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12218829
   Ceballos F, 2020, WORLD DEV, V136, DOI 10.1016/j.worlddev.2020.105069
   Ceylan RF, 2020, EUR J HEALTH ECON, V21, P817, DOI 10.1007/s10198-020-01206-8
   Chelleri L, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102985
   Chen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102892
   Chen XS, 2021, NAT HAZARDS, V106, P829, DOI 10.1007/s11069-020-04493-9
   Cheshmezangi A., 2020, CITY NEED
   Chu Z, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103304
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dai RC, 2021, J ECON BEHAV ORGAN, V183, P433, DOI 10.1016/j.jebo.2021.01.017
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   DeWit A, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101808
   Djalante R, 2020, PROG DISASTER SCI, V6, DOI 10.1016/j.pdisas.2020.100080
   Duffey RB, 2020, BIOLOGY-BASEL, V9, DOI 10.3390/biology9070156
   Duguma LA, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031278
   Elcheroth G, 2020, BRIT J SOC PSYCHOL, V59, P703, DOI 10.1111/bjso.12403
   Everard M, 2020, ENVIRON SCI POLICY, V111, P7, DOI 10.1016/j.envsci.2020.05.017
   Fan SG, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2021.100501
   Feldmeyer D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102931
   Fernández-Prados JS, 2021, EUR SOC, V23, pS111, DOI 10.1080/14616696.2020.1818113
   Ferreira RJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166495
   Figueiredo L., 2018, OECD REG DEV WORK PA, V02, P66, DOI DOI 10.1787/6F1F6065-EN
   Finch WH, 2020, FRONT SOCIOL, V5, DOI 10.3389/fsoc.2020.00047
   Gaynor TS, 2020, PUBLIC ADMIN REV, V80, P832, DOI 10.1111/puar.13264
   Ghasemi H, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103031
   Golan Maureen S., 2020, Environment Systems & Decisions, V40, P222, DOI 10.1007/s10669-020-09777-w
   Gong HW, 2020, TIJDSCHR ECON SOC GE, V111, P497, DOI 10.1111/tesg.12447
   Hadon John, 2020, Environment Systems & Decisions, V40, P287, DOI 10.1007/s10669-020-09778-9
   Hanzl M., 2020, Cities & Health, V5, P232, DOI [10.1080/23748834.2020.1791441, DOI 10.1080/23748834.2020.1791441]
   Hezer S, 2021, J INFECT PUBLIC HEAL, V14, P775, DOI 10.1016/j.jiph.2021.03.003
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huerta CM, 2021, HEALTH PLACE, V70, DOI 10.1016/j.healthplace.2021.102606
   Hynes William, 2020, Environment Systems & Decisions, V40, P174, DOI 10.1007/s10669-020-09776-x
   Imdad K, 2021, SPAT SPATIO-TEMPORAL, V36, DOI 10.1016/j.sste.2020.100390
   Joerin J, 2012, INT J DISAST RISK RE, V1, P44, DOI 10.1016/j.ijdrr.2012.05.006
   Jovanovic A., 2020, Environment Systems & Decisions, V40, P252, DOI 10.1007/s10669-020-09779-8
   Jung J, 2021, J ECON BEHAV ORGAN, V182, P311, DOI 10.1016/j.jebo.2020.12.019
   Kansiime MK, 2021, WORLD DEV, V137, DOI 10.1016/j.worlddev.2020.105199
   Keenan Jesse M., 2020, Environment Systems & Decisions, V40, P216, DOI 10.1007/s10669-020-09773-0
   Kiaghadi A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0241166
   Kim C., 2021, Journal of Open Innovation: Technology, Market, and Complexity, V7, P42
   Kim SJ, 2020, HEALTH EDUC BEHAV, V47, P509, DOI 10.1177/1090198120929677
   Kimhi S, 2020, SOC SCI MED, V265, DOI 10.1016/j.socscimed.2020.113389
   Kimhi S, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101843
   Kuckartz U., 2019, Analyzing qualitative data with MAXQDA: Text, audio, and video, DOI [10.1007/978-3-030-15671-8, DOI 10.1007/978-3-030-15671-8]
   Kumar A., 2020, Sustainable Operations and Computers, Volume, V1, P1, DOI [10.1016/j.susoc.2020.06.001, DOI 10.1016/J.SUSOC.2020.06.001]
   Kumar A, 2021, FRONT CELL INFECT MI, V11, DOI 10.3389/fcimb.2021.596201
   Lak A, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103410
   Lak Azadeh, 2020, Med J Islam Repub Iran, V34, P71, DOI 10.34171/mjiri.34.71
   Lau LS, 2020, NAT MED, V26, P647, DOI 10.1038/s41591-020-0851-2
   Leach M, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105233
   Li B, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102685
   Liberati A, 2009, BMJ-BRIT MED J, V339, DOI [10.1371/journal.pmed.1000097, 10.1136/bmj.b2535, 10.1136/bmj.b2700, 10.1186/2046-4053-4-1, 10.1016/j.ijsu.2010.02.007, 10.1136/bmj.i4086, 10.1016/j.ijsu.2010.07.299]
   Loxton M, 2020, J RISK FINANC MANAG, V13, DOI 10.3390/jrfm13080166
   Machado C Jr, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102671
   Maison D, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0258133
   Majewska A, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105904
   Malik MO, 2021, PROD PLAN CONTROL, V32, P1020, DOI 10.1080/09537287.2020.1784481
   Manyena B, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.06.011
   Massaro E, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-19706-2
   McGuire L, 2022, HEALTH PLACE, V75, DOI 10.1016/j.healthplace.2022.102773
   Mental Health Foundation (MHF), 2013, BUILDING RESILIENT C
   Michel S, 2015, COMPUT SOC SCI SOC A, P1
   Mikolai J, 2020, SSM-POPUL HLTH, V12, DOI 10.1016/j.ssmph.2020.100628
   Mishra SV, 2020, HABITAT INT, V103, DOI 10.1016/j.habitatint.2020.102230
   Moloney S, 2021, CITIES, V110, DOI 10.1016/j.cities.2020.103017
   Morante-Carballo F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166579
   Noy I, 2020, GLOB POLICY, V11, P413, DOI 10.1111/1758-5899.12851
   OECD, 2020, TERR IMP COVID 19 MA
   Ozdemir D, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2021.101847
   Page MJ, 2021, BMJ-BRIT MED J, V372, DOI [10.1016/j.ijsu.2021.105906, 10.1136/bmj.n71, 10.1136/bmj.n160]
   Pitas N, 2020, AM J HEALTH PROMOT, V34, P942, DOI 10.1177/0890117120924531
   Qian Y, 2020, RES SOC STRAT MOBIL, V68, DOI 10.1016/j.rssm.2020.100522
   Rahmadana MF, 2020, DATA BRIEF, V32, DOI 10.1016/j.dib.2020.106069
   Saghapour T, 2021, HEALTH PLACE, V70, DOI 10.1016/j.healthplace.2021.102629
   Sakurai M, 2020, EUR J INFORM SYST, V29, P585, DOI 10.1080/0960085X.2020.1814171
   Santos A, 2020, GEOSCIENCES, V10, DOI 10.3390/geosciences10060243
   Sasidharan M, 2020, SCI TOTAL ENVIRON, V741, DOI 10.1016/j.scitotenv.2020.140515
   Sato K, 2022, HEALTH PLACE, V74, DOI 10.1016/j.healthplace.2022.102772
   Sharaf A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12218847
   Sharifi A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13148018
   Sharifi A, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.142391
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Snyder BF, 2020, HEALTH PLACE, V66, DOI 10.1016/j.healthplace.2020.102471
   Stevenson C, 2021, BRIT J SOC PSYCHOL, V60, P1403, DOI 10.1111/bjso.12457
   Tavares FF, 2021, WORLD DEV, V139, DOI 10.1016/j.worlddev.2020.105307
   Thilmany D, 2021, APPL ECON PERSPECT P, V43, P86, DOI 10.1002/aepp.13121
   Tuts R., 2021, Cities and pandemics: Towards a more just, green and healthy future
   von Seidlein L, 2021, BUILD ENVIRON, V188, DOI 10.1016/j.buildenv.2020.107472
   Wang C, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182211883
   Wang JJ, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103058
   WHO, 2020, >The Orientals who entrepreneurialized cartoon
   World Health Organization, 2022, Coronavirus disease (COVID-19)
   Wu XG, 2021, RES SOC STRAT MOBIL, V72, DOI 10.1016/j.rssm.2021.100584
   Xu WP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18010088
   Zhong M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041521
NR 124
TC 51
Z9 52
U1 14
U2 114
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD OCT 1
PY 2022
VL 80
AR 103248
DI 10.1016/j.ijdrr.2022.103248
EA AUG 2022
PG 14
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 3Z3IR
UT WOS:000844312000003
PM 35991617
OA Green Published
DA 2025-04-22
ER

PT J
AU Duro, JA
   Osório, A
   Pérez-Laborda, A
   Rosselló-Nadal, J
AF Duro, Juan Antonio
   Osorio, Antonio
   Perez-Laborda, Alejandro
   Rossello-Nadal, Jaume
TI Are destinations reverting to the pre-pandemic "normal"?
SO TOURISM ECONOMICS
LA English
DT Article
DE pandemic; resilience; resilience dynamics; recovery; vulnerability
ID TOURISM
AB With three years having elapsed since the pandemic onset, a comprehensive assessment of the adaptation process and its extent becomes crucial. In this research note, we provide evidence in this regard by analyzing the tourism resilience determinants of the Spanish provinces throughout the entire 2020-2022 period. The results show that some determinants have played a time-varying role during shock absorption in 2020, adaptation in 2021, and market recovery in 2022. Although the previous equilibrium has been partially reached, there are still persistent effects that remain in 2022. These include the tourist preferences for natural tourism in front of the urban product or the incomplete recovery of distant markets. These insights provide valuable perspectives on the dynamics of the tourism industry and inform strategies to achieve a complete rebound.
C1 [Duro, Juan Antonio; Osorio, Antonio; Perez-Laborda, Alejandro] Univ Rovira i Virgili, Tarragona, Spain.
   [Rossello-Nadal, Jaume] Univ Les Illes Balears, Palma De Mallorca, Spain.
   [Rossello-Nadal, Jaume] Univ Illes Balears, Carretera Valldemossa Km 7-5, Palma De Mallorca 07122, Spain.
C3 Universitat Rovira i Virgili; Universitat de les Illes Balears;
   Universitat de les Illes Balears
RP Rosselló-Nadal, J (corresponding author), Univ Illes Balears, Carretera Valldemossa Km 7-5, Palma De Mallorca 07122, Spain.
RI Rosselló, Jaume/A-1181-2012; perez-laborda, alejandro/O-1459-2019;
   Osorio, Antonio/L-6243-2014; Perez-Laborda, Alejandro/O-5294-2018
OI Duro, Juan Antonio/0000-0002-1106-5251; Rossello-Nadal,
   Jaume/0000-0001-9467-2067; Osorio, Antonio/0000-0003-3376-0164;
   Perez-Laborda, Alejandro/0000-0003-4247-598X
FU Agencia Estatal de Investigacion [PID2019-106738GB-I00/MCIN/AEI];
   Euroregion Pyrenees Mediterranean (Vulnerabilitat turistica a la regio
   EPM: analisis i estrategies de resiliencia futura)
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This work
   was supported by the Agencia Estatal de Investigacion
   (PID2019-106738GB-I00/MCIN/AEI/10.13039/50110001103), Euroregion
   Pyrenees Mediterranean (Vulnerabilitat turistica a la regio EPM:
   analisis i estrategies de resiliencia futura)
CR Duro JA, 2021, TOUR MANAG PERSPECT, V38, DOI 10.1016/j.tmp.2021.100819
   Silva FBE, 2018, TOURISM MANAGE, V68, P101, DOI 10.1016/j.tourman.2018.02.020
   Boto-García D, 2021, TOURISM ECON, DOI 10.1177/13548166211052139
   Burhan M, 2021, INT J HOSP MANAG, V98, DOI 10.1016/j.ijhm.2021.103037
   Calgaro E, 2014, J SUSTAIN TOUR, V22, P341, DOI 10.1080/09669582.2013.826229
   Duro J, 2022, ANN TOUR RES EMPIR I, V3, DOI 10.1016/j.annale.2022.100039
   Gallego I, 2019, J DESTIN MARK MANAGE, V14, DOI 10.1016/j.jdmm.2019.100382
   Gössling S, 2021, J SUSTAIN TOUR, V29, P1, DOI 10.1080/09669582.2020.1758708
   Koo T, 2016, J TRANSP GEOGR, V50, P83, DOI 10.1016/j.jtrangeo.2015.04.006
   Li X, 2021, ANN TOURISM RES, V90, DOI 10.1016/j.annals.2021.103258
   Magnus JR, 2010, J ECONOMETRICS, V154, P139, DOI 10.1016/j.jeconom.2009.07.004
   Ridderstaat J, 2022, CURR ISSUES TOUR, V25, P2006, DOI 10.1080/13683500.2021.1935794
   Rogerson C.M., 2020, African Journal of Hospitality, Tourism and Leisure, V9
   Shin H, 2022, TOURISM MANAGE, V88, DOI 10.1016/j.tourman.2021.104428
   Souza CN, 2021, BIOL CONSERV, V256, DOI 10.1016/j.biocon.2021.109015
   UNWTO, 2023, WORLD TOUR BAR 21 JA
   Watson P, 2022, TOURISM ECON, V28, P1193, DOI 10.1177/1354816621990943
NR 17
TC 2
Z9 2
U1 0
U2 9
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 1354-8166
EI 2044-0375
J9 TOURISM ECON
JI Tour. Econ.
PD AUG
PY 2024
VL 30
IS 5
BP 1349
EP 1356
DI 10.1177/13548166231204509
EA SEP 2023
PG 8
WC Economics; Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Business & Economics; Social Sciences - Other Topics
GA A3R0B
UT WOS:001075578000001
DA 2025-04-22
ER

PT J
AU Kotevska, O
   Kusne, AG
   Samarov, DV
   Lbath, A
   Battou, A
AF Kotevska, Olivera
   Kusne, A. Gilad
   Samarov, Daniel V.
   Lbath, Ahmed
   Battou, Abdella
TI Dynamic Network Model for Smart City Data-Loss Resilience Case Study:
   City-to-City Network for Crime Analytics
SO IEEE ACCESS
LA English
DT Article
DE Adaptive algorithms; geospatial analysis; predictive models; statistical
   leaming
ID PREDICTION; WEATHER
AB Today's cities generate tremendous amounts of data, thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context-aware services and systems, ensuring smart city services are optimized to the dynamic city environment. Critical resources in these smart cities will be more rapidly deployed to regions in need, and those regions predicted to have an imminent or prospective need. For example, crime data analytics may be used to optimize the distribution of police, medical, and emergency services. However, as smart city services become dependent on data, they also become susceptible to disruptions in data streams, such as data loss due to signal quality reduction or due to power loss during data collection. This paper presents a dynamic network model for improving service resilience to data loss. The network model identifies statistically significant shared temporal trends across multivariate spatiotemporal data streams and utilizes these trends to improve data prediction performance in the case of data loss. Dynamics also allow the system to respond to changes in the data streams such as the loss or addition of new information flows. The network model is demonstrated by city-based crime rates reported in Montgomery County, MD, USA. A resilient network is developed utilizing shared temporal trends between cities to provide improved crime rate prediction and robustness to data loss, compared with the use of single city-based auto-regression. A maximum improvement in performance of 7.8 % for Silver Spring is found and an average improvement of 5.6 % among cities with high crime rates. The model also correctly identifies all the optimal network connections, according to prediction error minimization. City-to-city distance is designated as a predictor of shared temporal trends in crime and weather is shown to be a strong predictor of crime in Montgomery County.
C1 [Kotevska, Olivera; Kusne, A. Gilad; Samarov, Daniel V.; Battou, Abdella] NIST, Gaithersburg, MD 20899 USA.
   [Lbath, Ahmed] Univ Grenoble Alpes, F-38400 Grenoble, France.
C3 National Institute of Standards & Technology (NIST) - USA; Communaute
   Universite Grenoble Alpes; Universite Grenoble Alpes (UGA)
RP Kotevska, O (corresponding author), NIST, Gaithersburg, MD 20899 USA.
EM olivera.kotevska@nist.gov
RI Kotevska, Olivera/LTD-3092-2024
FU Information Technology Laboratory, National Institute of Standards and
   Technology
FX This work was supported by the Information Technology Laboratory,
   National Institute of Standards and Technology.
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Akbar A, 2015, 2015 IEEE 2ND WORLD FORUM ON INTERNET OF THINGS (WF-IOT), P327, DOI 10.1109/WF-IoT.2015.7389075
   Aman S, 2015, INT CONF SMART GRID, P338, DOI 10.1109/SmartGridComm.2015.7436323
   Anava O, 2015, PR MACH LEARN RES, V37, P2191
   [Anonymous], 2006, Vector autoregressive models for multivariate time series', Modeling Financial Time Series with S-PLUS R, DOI [10.1007/978-0-387-32348-0_11#page, DOI 10.1007/978-0-387-32348-0_11#PAGE, DOI 10.1007/978-0-387-32348-011]
   Chai H, 2014, 2014 IEEE 12TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC)/2014 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTING (EMBEDDEDCOM)/2014 IEEE 12TH INTERNATIONAL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING (PICOM), P109, DOI 10.1109/DASC.2014.28
   Derguech W, 2014, 2014 IEEE 11TH INTL CONF ON UBIQUITOUS INTELLIGENCE AND COMPUTING AND 2014 IEEE 11TH INTL CONF ON AUTONOMIC AND TRUSTED COMPUTING AND 2014 IEEE 14TH INTL CONF ON SCALABLE COMPUTING AND COMMUNICATIONS AND ITS ASSOCIATED WORKSHOPS, P204, DOI 10.1109/UIC-ATC-ScalCom.2014.137
   Dogra IS, 2013, 2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), P2114
   Gerber MS, 2014, DECIS SUPPORT SYST, V61, P115, DOI 10.1016/j.dss.2014.02.003
   Gunderson L, 2000, IEEE SYS MAN CYBERN, P2338, DOI 10.1109/ICSMC.2000.884340
   Hvistendahl M, 2016, SCIENCE, V353, P1484, DOI 10.1126/science.353.6307.1484
   Hyndman RJ., 2018, Forecasting: principles and practice
   Leong K, 2015, INT E-J CRIM SCI
   Mookiah L., 2015, FLAIRS C, P440
   Pravilovic S, 2017, INFORM SCIENCES, V380, P31, DOI 10.1016/j.ins.2016.11.001
   Ranson M, 2014, J ENVIRON ECON MANAG, V67, P274, DOI 10.1016/j.jeem.2013.11.008
   Renjie Liao, 2010, 2010 International Conference on Machine Learning and Cybernetics (ICMLC 2010), P1757, DOI 10.1109/ICMLC.2010.5580971
   SCHWERT GW, 1989, J FINANC, V44, P1115, DOI 10.2307/2328636
   Tibshirani R, 2001, ELEMENTS STAT LEARNI, DOI DOI 10.1007/978
   Nguyên T, 2012, LECT NOTES COMPUT SC, V7336, P418, DOI 10.1007/978-3-642-31128-4_31
   Tokumitsu M, 2015, PROCEDIA COMPUT SCI, V60, P1585, DOI 10.1016/j.procs.2015.08.268
NR 21
TC 21
Z9 22
U1 2
U2 36
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 2169-3536
J9 IEEE ACCESS
JI IEEE Access
PY 2017
VL 5
BP 20524
EP 20535
DI 10.1109/ACCESS.2017.2757841
PG 12
WC Computer Science, Information Systems; Engineering, Electrical &
   Electronic; Telecommunications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Telecommunications
GA FL0AL
UT WOS:000413873500045
PM 29250476
OA Green Accepted, gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Gao, SL
   Li, DQ
   Zheng, N
   Hu, RQ
   She, ZK
AF Gao, Shengling
   Li, Daqing
   Zheng, Nan
   Hu, Ruiqi
   She, Zhikun
TI Resilient perimeter control for hyper-congested two-region networks with
   MFD dynamics
SO TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
LA English
DT Article
DE Resilience; Hyper-congestion; Asymptotic stability; Attraction region;
   Resilient perimeter control; Macroscopic fundamental diagram
ID URBAN; SYSTEMS; ATTRACTION; MITIGATION
AB Understanding the resilience of transportation networks has received considerable research attention. Nevertheless in the field of network traffic flow control, few control approaches target the mitigation from hyper-congestion, and the control objective has rarely touched the system resilience requirement which focuses on system recovering from hyper-congested state. This paper sheds light on a resilience-oriented network control. We firstly define the traffic resilience as the integral of deviation against optimal state from disturbance generation moment t(0) to recovery moment t(f). Then, we propose a control method under hyper-congested situations by formulating the analytical problem using a two-reservoir transportation system with parabola shaped Macroscopic Fundamental Diagrams (MFDs), using phase diagram analysis, attraction region derivation and switched controller design. Afterwards, we evaluate the system resilience performances between two classic perimeter control schemes (constant perimeter control (CPC) and state-feedback control (SFC)) and the proposed resilient control scheme. Results show that proposed controller can ensure the system to recover from hyper-congestion to the optimal state while existing studies failed to recover. This resilience is confirmed in various case study scenarios, e.g., when the level of hyper-congestion is different. More promisingly, the proposed control shows high compatibility with the form of the MFDs, e.g., the recover can be achieved under hysteresis conditions which are common for network-level traffic dynamics. These findings will help to design an intelligent transportation system with enhanced resilience.
C1 [Gao, Shengling; Hu, Ruiqi; She, Zhikun] Beihang Univ, Sch Math Sci, Beijing, Peoples R China.
   [Li, Daqing] Beihang Univ, Sch Reliabil & Syst Engn, Beijing, Peoples R China.
   [Zheng, Nan] Monash Univ, Dept Civil Engn, Melbourne, Australia.
C3 Beihang University; Beihang University; Monash University
RP She, ZK (corresponding author), Beihang Univ, Sch Math Sci, Beijing, Peoples R China.
EM zhikun.she@buaa.edu.cn
RI Hu, Ruiqi/GYJ-2509-2022
OI She, Zhikun/0000-0003-2762-8730; Gao, Shengling/0009-0004-0660-3918
CR Aboudolas K, 2013, TRANSPORT RES B-METH, V55, P265, DOI 10.1016/j.trb.2013.07.003
   Aghamohammadi R, 2020, TRANSPORT RES B-METH, V137, P99, DOI 10.1016/j.trb.2018.10.017
   Ameli M, 2020, SIMUL MODEL PRACT TH, V99, DOI 10.1016/j.simpat.2019.101995
   Ampuntolas K, 2017, TRANSPORT RES B-METH, V104, P616, DOI 10.1016/j.trb.2017.05.007
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   Daganzo CF, 2007, TRANSPORT RES B-METH, V41, P49, DOI 10.1016/j.trb.2006.03.001
   Donovan B, 2017, TRANSPORT RES C-EMER, V79, P333, DOI 10.1016/j.trc.2017.03.002
   Fu H, 2017, TRANSPORT RES C-EMER, V83, P18, DOI 10.1016/j.trc.2017.07.007
   Gayah VV, 2014, TRANSPORT RES B-METH, V70, P255, DOI 10.1016/j.trb.2014.09.010
   Gayah VV, 2011, TRANSPORT RES B-METH, V45, P643, DOI 10.1016/j.trb.2010.11.006
   Geroliminis N, 2008, TRANSPORT RES B-METH, V42, P759, DOI 10.1016/j.trb.2008.02.002
   Godfrey J., 1969, Traffic Engineering & Control, V11, P323
   Haddad J, 2020, TRANSPORT RES B-METH, V132, P44, DOI 10.1016/j.trb.2019.01.020
   Haddad J, 2020, TRANSPORT RES B-METH, V137, P133, DOI 10.1016/j.trb.2018.05.019
   Haddad J, 2015, TRANSPORT RES C-EMER, V59, P323, DOI 10.1016/j.trc.2015.05.014
   Haddad J, 2014, TRANSPORT RES B-METH, V68, P315, DOI 10.1016/j.trb.2014.06.010
   Haddad J, 2013, TRANSPORT RES B-METH, V54, P17, DOI 10.1016/j.trb.2013.03.007
   Haddad J, 2012, TRANSPORT RES B-METH, V46, P1159, DOI 10.1016/j.trb.2012.04.004
   Hajiahmadi M, 2015, IEEE T CONTR SYST T, V23, P464, DOI 10.1109/TCST.2014.2330997
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang HJ, 2020, TRANSPORT POLICY, V85, pA1, DOI 10.1016/j.tranpol.2019.09.007
   Huang YP, 2020, TRANSPORT RES B-METH, V131, P1, DOI 10.1016/j.trb.2019.11.002
   Ji YX, 2014, TRANSPORT RES REC, P1, DOI 10.3141/2422-01
   Ji YX, 2012, TRANSPORT RES B-METH, V46, P1639, DOI 10.1016/j.trb.2012.08.005
   Johari M, 2021, TRANSPORT RES C-EMER, V131, DOI 10.1016/j.trc.2021.103334
   Kalman R E., 1960, Bol. Soc. Mat. Mexicana, V5, P102
   Keyvan-Ekbatani M, 2013, TRANSPORT RES C-EMER, V33, P74, DOI 10.1016/j.trc.2013.04.010
   Keyvan-Ekbatani M, 2012, TRANSPORT RES B-METH, V46, P1393, DOI 10.1016/j.trb.2012.06.008
   Kouvelas A, 2017, TRANSPORT RES B-METH, V96, P26, DOI 10.1016/j.trb.2016.10.011
   Laval JA, 2018, TRANSPORT RES B-METH, V117, P676, DOI 10.1016/j.trb.2017.08.027
   Li RY, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010144
   Li Y, 2021, TRANSPORT RES B-METH, V150, P101, DOI 10.1016/j.trb.2021.05.016
   Mariotte G, 2017, TRANSPORT RES B-METH, V101, P245, DOI 10.1016/j.trb.2017.04.002
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Mercader P, 2021, CONTROL ENG PRACT, V109, DOI 10.1016/j.conengprac.2020.104718
   Mohajerpoor R, 2020, TRANSPORT RES B-METH, V137, P47, DOI 10.1016/j.trb.2019.03.010
   Ni W, 2019, TRANSPORT RES C-EMER, V98, P358, DOI 10.1016/j.trc.2018.12.007
   Ramezani M, 2015, TRANSPORT RES B-METH, V74, P1, DOI 10.1016/j.trb.2014.12.010
   Ratschan S, 2010, SIAM J CONTROL OPTIM, V48, P4377, DOI 10.1137/090749955
   Ren Y, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102618
   Saeedmanesh M, 2017, TRANSPORT RES B-METH, V105, P193, DOI 10.1016/j.trb.2017.08.021
   Saeedmanesh M, 2016, TRANSPORT RES B-METH, V91, P250, DOI 10.1016/j.trb.2016.05.008
   She ZK, 2020, INT J ROBUST NONLIN, V30, P1979, DOI 10.1002/rnc.4857
   She ZK, 2014, SIAM J CONTROL OPTIM, V52, P3312, DOI 10.1137/130934313
   Sirmatel II, 2021, CONTROL ENG PRACT, V109, DOI 10.1016/j.conengprac.2021.104750
   Sirmatel II, 2018, TRANSPORT RES B-METH, V114, P325, DOI 10.1016/j.trb.2018.06.009
   Skafidas E, 1999, AUTOMATICA, V35, P553, DOI 10.1016/S0005-1098(98)00167-8
   Su ZC, 2020, TRANSPORT RES C-EMER, V116, DOI 10.1016/j.trc.2020.102628
   Tierney K., 2007, TR News, V250, P14, DOI DOI 10.17226/23168
   Timmerman Peter., 1981, Environmental Monograph, V1, DOI [10.1002/joc.3370010412, DOI 10.1002/JOC.3370010412]
   Wang S., 2020, IEEE Trans Sys Man Cybern Sys, V51, P7776, DOI [10.1109/TSMC.2020.2980673, DOI 10.1109/TSMC.2020.2980673]
   Wang SJ, 2022, IEEE T CYBERNETICS, V52, P1628, DOI 10.1109/TCYB.2020.2987326
   Wiggins S., 1996, INTRO APPL NONLINEAR, DOI [10.1007/978-1-4757-4067-7, DOI 10.1007/978-1-4757-4067-7]
   Yang KD, 2019, TRANSPORT RES C-EMER, V105, P439, DOI 10.1016/j.trc.2019.06.007
   Yang KD, 2018, TRANSPORT RES C-EMER, V94, P32, DOI 10.1016/j.trc.2017.08.014
   Yang XF, 2018, TRANSPORT RES C-EMER, V86, P328, DOI 10.1016/j.trc.2017.11.019
   Zeng GW, 2020, P NATL ACAD SCI USA, V117, P17528, DOI 10.1073/pnas.1907493117
   Zeng GW, 2019, P NATL ACAD SCI USA, V116, P23, DOI 10.1073/pnas.1801545116
   Zhang LM, 2019, P NATL ACAD SCI USA, V116, P8673, DOI 10.1073/pnas.1814982116
   Zhang Z., 1997, QUALITATIVE THEORY D
   Zheng XL, 2018, INT J ROBUST NONLIN, V28, P2191, DOI 10.1002/rnc.4010
   Zhong RX, 2020, TRANSPORT RES C-EMER, V114, P297, DOI 10.1016/j.trc.2020.02.005
   Zhong RX, 2020, TRANSPORT RES B-METH, V132, P228, DOI 10.1016/j.trb.2019.05.005
   Zhong RX, 2018, TRANSPORT RES B-METH, V117, P687, DOI 10.1016/j.trb.2017.09.008
   Zhong RX, 2018, TRANSPORT RES B-METH, V111, P327, DOI 10.1016/j.trb.2018.02.016
NR 66
TC 12
Z9 12
U1 9
U2 93
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0191-2615
EI 1879-2367
J9 TRANSPORT RES B-METH
JI Transp. Res. Pt. B-Methodol.
PD FEB
PY 2022
VL 156
BP 50
EP 75
DI 10.1016/j.trb.2021.12.003
EA JAN 2022
PG 26
WC Economics; Engineering, Civil; Operations Research & Management Science;
   Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Engineering; Operations Research & Management
   Science; Transportation
GA 0V1WK
UT WOS:000788135500004
DA 2025-04-22
ER

PT J
AU Yang, B
   Feldman, MW
   Li, SZ
AF Yang, Bo
   Feldman, Marcus W.
   Li, Shuzhuo
TI The status of perceived community resilience in transitional rural
   society: An empirical study from central China
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Rural communities; Perceived community resilience; Social transition;
   China; Latent profile analysis
ID LATENT PROFILE ANALYSIS; URBANIZATION; HEALTH; LAND; PERSPECTIVE;
   RESIDENTS; FRAMEWORK; VILLAGE; MODEL; WAR
AB During China's recent social transition, rural communities have experienced rapid changes in resources, organizational structure, and governance due to urbanization, rural industrialization, and rural-urban migration. How these communities react to social adversity and uncertainty can be assessed with an index of perceived community resilience. Using a Chinese version of the perceived community resilience scale, we analyze data from a multilevel survey of two rural counties in central China. Latent profile analysis and a multilevel regression mixture model are employed to classify community resilience and to explore how the social-ecological system influences this classification. Community resilience is classified into "autonomous community", "cooperative community", and "authoritative community", and we find the proportion of cooperative communities to be the highest and the proportion of autonomous communities is lowest. These results suggest that cooperation among rural residents in rural communities is increasing. How rural residents perceive community resilience is based on their individual features, which reflect the impacts of recent social changes on livelihoods. Socio-ecological variables, including geographical features, financial status, social networks, and traditional culture, have significant effects on the categories of community resilience. In today's China, rural residents have decreased their dependence on rural leaders and increased cooperation at the community level. Some autonomous communities may be unsustainable as they are populated mainly by the elderly and have insufficient resources to be adaptable.
C1 [Yang, Bo] Shaanxi Normal Univ, Int Business Sch, Xian 710119, Peoples R China.
   [Feldman, Marcus W.] Stanford Univ, Dept Biol, Stanford, CA 94305 USA.
   [Li, Shuzhuo] Xi An Jiao Tong Univ, Inst Populat & Dev, Xian 710049, Peoples R China.
C3 Shaanxi Normal University; Stanford University; Xi'an Jiaotong
   University
RP Feldman, MW (corresponding author), Stanford Univ, Dept Biol, Stanford, CA 94305 USA.
EM mfeldman@stanford.edu
FU National Science Foundation of China [16CRK022]; Fundamental Research
   Fund for the Central Universities of China [20SZYB25]; Morrison
   Institute for Population and Resource Studies at Stanford University
FX This research is supported by the National Science Foundation of China
   (grant number 16CRK022), by the Fundamental Research Fund for the
   Central Universities of China (grant number 20SZYB25), and by the
   Morrison Institute for Population and Resource Studies at Stanford
   University.
CR Awuah R., 2017, African Journal of Food, Agriculture, Nutrition and Development, V17, P11477, DOI 10.18697/ajfand.77.16680
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Brodsky AE, 2013, AM J COMMUN PSYCHOL, V52, P333, DOI 10.1007/s10464-013-9599-x
   Brodsky AE, 2011, AM J COMMUN PSYCHOL, V47, P217, DOI 10.1007/s10464-010-9399-5
   Campbell-Sills L, 2007, J TRAUMA STRESS, V20, P1019, DOI 10.1002/jts.20271
   Chandra A., 2010, UNDERSTANDING COMMUN
   Chaskin R.J., 2008, Child Care in Practice, V14, P65, DOI DOI 10.1080/13575270701733724
   Chien SS, 2018, INT J URBAN REGIONAL, V42, P723, DOI 10.1111/1468-2427.12610
   Chuang WC, 2018, J ENVIRON MANAGE, V213, P353, DOI 10.1016/j.jenvman.2018.01.083
   Clark TT, 2015, ADDICT BEHAV, V40, P119, DOI 10.1016/j.addbeh.2014.08.006
   Cohen O., 2016, PLOS ONE, V11, P1
   Cox RS, 2011, AM J COMMUN PSYCHOL, V48, P395, DOI 10.1007/s10464-011-9427-0
   Day AF, 2018, J PEASANT STUD, V45, P1221, DOI 10.1080/03066150.2017.1386179
   Dogulu C, 2016, INT J DISAST RISK RE, V16, P108, DOI 10.1016/j.ijdrr.2016.02.006
   Emery M, 2006, COMMUNITY DEV, V37, P19, DOI 10.1080/15575330609490152
   Eshel Y, 2016, COMMUNITY MENT HLT J, V52, P109, DOI 10.1007/s10597-015-9948-3
   Flagg C, 2019, RURAL SOCIOL, V84, P226, DOI 10.1111/ruso.12225
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Goroshit SKM, 2013, J COMMUNITY PSYCHOL, V41, P631, DOI 10.1002/jcop.21561
   Guo YR, 2018, J SUSTAIN TOUR, V26, P973, DOI 10.1080/09669582.2018.1428335
   Henry KL, 2010, STRUCT EQU MODELING, V17, P193, DOI 10.1080/10705511003659342
   Joerin J, 2012, ENVIRON HAZARDS-UK, V11, P226, DOI 10.1080/17477891.2012.689248
   Kelly C, 2015, LAND USE POLICY, V46, P11, DOI 10.1016/j.landusepol.2015.01.026
   Lee YH, 2014, SOC INDIC RES, V117, P523, DOI 10.1007/s11205-013-0360-5
   Leykin D, 2013, AM J COMMUN PSYCHOL, V52, P313, DOI 10.1007/s10464-013-9596-0
   Li C, 2012, ASIAN PAC MIGR J, V21, P1
   Liu YS, 2017, J RURAL STUD, V51, P141, DOI 10.1016/j.jrurstud.2017.02.008
   Liu Y, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205553
   Long HL, 2011, APPL GEOGR, V31, P1094, DOI 10.1016/j.apgeog.2011.02.006
   Ma WQ, 2018, LAND USE POLICY, V75, P583, DOI 10.1016/j.landusepol.2018.04.024
   Muthén B, 2009, J R STAT SOC A STAT, V172, P639, DOI 10.1111/j.1467-985X.2009.00589.x
   Muthen LK, 2017, MPLUS USERS GUIDE
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Nylund K, 2007, CHILD DEV, V78, P1706, DOI 10.1111/j.1467-8624.2007.01097.x
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Patel RB, 2018, INT J DISAST RISK RE, V27, P161, DOI 10.1016/j.ijdrr.2017.10.003
   Pfefferbaum RL, 2015, AM BEHAV SCI, V59, P181, DOI 10.1177/0002764214550295
   Pfefferbaum Rose L, 2013, Int J Emerg Ment Health, V15, P15
   Poortinga W, 2012, HEALTH PLACE, V18, P286, DOI 10.1016/j.healthplace.2011.09.017
   Raich M, 2017, EUR J PUBLIC HEALTH, V27, P440
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   SCHWARZ G, 1978, ANN STAT, V6, P461, DOI 10.1214/aos/1176344136
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Smith G, 2018, CHINA INT J, V16, P163
   Taylor SD, 2016, J CHILD FAM STUD, V25, P2797, DOI 10.1007/s10826-016-0440-7
   Tomba L, 2017, INT J URBAN REGIONAL, V41, P508, DOI 10.1111/1468-2427.12494
   Ungar M, 2011, AM J ORTHOPSYCHIAT, V81, P1, DOI 10.1111/j.1939-0025.2010.01067.x
   Varghese J, 2006, RURAL SOCIOL, V71, P505, DOI 10.1526/003601106778070653
   Vermunt JK, 2008, STAT METHODS MED RES, V17, P33, DOI 10.1177/0962280207081238
   Wang RY, 2018, INT J EQUITY HEALTH, V17, DOI 10.1186/s12939-018-0825-x
   Wang Z, 2017, POPUL SPACE PLACE, V23, DOI 10.1002/psp.2008
   Wang ZF, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000613
   Wilson GA, 2018, J RURAL STUD, V60, P130, DOI 10.1016/j.jrurstud.2018.03.016
   Ye C, 2018, J RURAL STUD, V62, P53, DOI 10.1016/j.jrurstud.2018.07.003
   Ye JZ, 2018, POPUL SPACE PLACE, V24, DOI 10.1002/psp.2128
   Yuan BB, 2017, INT J EQUITY HEALTH, V16, DOI 10.1186/s12939-017-0542-x
   Yuan JJ, 2018, ENVIRON DEV, V28, P101, DOI 10.1016/j.envdev.2018.10.002
   Yuan Z, 2012, CHINA AGR ECON REV, V4, P36, DOI 10.1108/17561371211196766
   Zhang LX, 2018, CHINA AGR ECON REV, V10, P190, DOI 10.1108/CAER-11-2017-0212
   Zhang M, 2017, CITIES, V60, P495, DOI 10.1016/j.cities.2016.06.007
   Zhou T., 2018, CITIES, V54, P2268
   Zhu JM, 2017, URBAN STUD, V54, P2268, DOI 10.1177/0042098016643455
NR 63
TC 31
Z9 34
U1 28
U2 189
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
EI 1873-1392
J9 J RURAL STUD
JI J. Rural Stud.
PD DEC
PY 2020
VL 80
BP 427
EP 438
DI 10.1016/j.jrurstud.2020.10.020
PG 12
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA PC0BQ
UT WOS:000596675800004
OA hybrid
DA 2025-04-22
ER

PT J
AU Dong, X
   Geng, LA
AF Dong, Xia
   Geng, Liuna
TI Nature deficit and mental health among adolescents: A perspectives of
   conservation of resources theory
SO JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
LA English
DT Article
DE Nature deficit; Social capital; Resilience; Adolescents? mental health
ID IMPLICIT ASSOCIATION TEST; RESILIENCE; ANXIETY; DEPRESSION; STRESS;
   SELF; SYMPTOMS; CHILDREN; IMPACT; METAANALYSIS
AB With the rapid spread of modern urban construction and electronic technology, adolescents are increasingly deprived of direct contact with nature, suffering from a nature deficit. Nature deficit is a risk factor for mental health. Unfortunately, it is not clear how nature deficit is associated with adolescents' mental health and what the mechanism is. Nature deficit may change social (social capital) and personal resources (resilience), resulting in lasting damage to adolescents' mental health. Therefore, based on the conservation of resources theory, this paper intends to explore the correlation between nature deficit and adolescents' mental health, and the medi-ating role of social capital and resilience among them. A total of 688 adolescents (341 boys; mean age = 16.33, SD = 0.69, from 15 to 18 years old) were recruited and filled out the questionnaires: Adolescent Nature deficit Scale (ANDS), Social Capital Questionnaire for Adolescent Students (SCQ-AS), Connor-Davidson Resilience Scale (CD-RISC), and Depression-Anxiety Subscale (DASS). The mediation analysis results revealed that social capital and resilience work in the correlation between nature deficit and anxiety, as well as between nature deficit and depression. Importantly, "social capital-resilience" plays a mediating chain role in the correlation between nature deficit and anxiety, as well as between nature deficit and depression. These findings reveal the underlying mechanism between nature deficit and adolescents' mental health, laying a theoretical foundation for improving the mental health level of nature deficit by improving their social capital and resilience.
C1 [Dong, Xia; Geng, Liuna] Nanjing Univ, Sch Social & Behav Sci, Nanjing, Peoples R China.
   [Geng, Liuna] Nanjing Univ, Sch Social & Behav Sci, Xianlin campus, Nanjing, Jiangsu, Peoples R China.
C3 Nanjing University; Nanjing University
RP Geng, LA (corresponding author), Nanjing Univ, Sch Social & Behav Sci, Xianlin campus, Nanjing, Jiangsu, Peoples R China.
EM gengliuna@nju.edu.cn
RI Geng, Liuna/JXM-4109-2024
OI Geng, Liuna/0000-0002-2237-8851
FU Foundation of Jiangsu Provincial Department of Education for the spirit
   of the 20th CPC National Congress [10]; Fundamental Research Funds for
   the Central Universities of China [010914370122]
FX The study described in this paper was supported by the Foundation of
   Jiangsu Provincial Department of Education for the spirit of the 20th
   CPC National Congress 'Research on Climate Change Action from the
   Perspective of Environmental Risk' (No.10) and Fundamental Research
   Funds for the Central Universities of China (No. 010914370122).
CR AKAIKE H, 1987, PSYCHOMETRIKA, V52, P317, DOI 10.1007/BF02294359
   Anderson JR, 2022, J AFFECT DISORDERS, V310, P477, DOI 10.1016/j.jad.2022.04.003
   ANDERSON JC, 1988, PSYCHOL BULL, V103, P411, DOI 10.1037/0033-2909.103.3.411
   Anderson K, 2021, J ADOLESCENT HEALTH, V69, P689, DOI 10.1016/j.jadohealth.2021.03.035
   Anthun KS, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16245015
   Anyan F, 2016, J AFFECT DISORDERS, V203, P213, DOI 10.1016/j.jad.2016.05.031
   Arbuckle JL., 2003, AMOS 5 0 UPDATE AMOS
   Awgu E, 2016, AM J DRUG ALCOHOL AB, V42, P213, DOI 10.3109/00952990.2015.1111900
   Bae SM, 2019, J HEALTH PSYCHOL, V24, P1909, DOI 10.1177/1359105319847257
   Baum FE, 2009, HEALTH PLACE, V15, P925, DOI 10.1016/j.healthplace.2009.02.013
   BENJAMIN RS, 1990, J ANXIETY DISORD, V4, P293, DOI 10.1016/0887-6185(90)90027-7
   Blakemore SJ, 2014, ANNU REV PSYCHOL, V65, P187, DOI 10.1146/annurev-psych-010213-115202
   Bowers EP, 2021, FRONT PSYCHOL, V12, DOI 10.3389/fpsyg.2021.688574
   Browne M. W., 1992, CLIN DIAGN LAB IMMUN, V7, P161, DOI [10.1177/0049124192021002005, DOI 10.1128/CDLI.7.2.161-167.2000]
   Byrne B, 2010, INTERNATIONAL HANDBOOK OF PSYCHOLOGY IN EDUCATION, P3
   Campbell-Sills L, 2007, J TRAUMA STRESS, V20, P1019, DOI 10.1002/jts.20271
   Chen SS, 2015, STRESS HEALTH, V31, P95, DOI 10.1002/smi.2574
   Cheng Y., 2014, J ADOLESCENT HEALTH
   Cheung GW, 2008, ORGAN RES METHODS, V11, P296, DOI 10.1177/1094428107300343
   Cheung MWL, 2007, STRUCT EQU MODELING, V14, P227, DOI 10.1080/10705510709336745
   Cole E, 2022, CHILD YOUTH SERV REV, V142, DOI 10.1016/j.childyouth.2022.106647
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Costello EJ, 2003, ARCH GEN PSYCHIAT, V60, P837, DOI 10.1001/archpsyc.60.8.837
   Dadvand P, 2019, ENVIRON RES, V168, P171, DOI 10.1016/j.envres.2018.09.033
   de Vries S, 2013, SOC SCI MED, V94, P26, DOI 10.1016/j.socscimed.2013.06.030
   Dong X, 2023, CURR PSYCHOL, V42, P28911, DOI 10.1007/s12144-022-03924-z
   Dong X, 2023, ENVIRON EDUC RES, V29, P1758, DOI 10.1080/13504622.2022.2120188
   Dong X, 2020, SCAND J PSYCHOL, V61, P436, DOI 10.1111/sjop.12596
   Driessnack M, 2009, J SPEC PEDIATR NURS, V14, P73, DOI 10.1111/j.1744-6155.2009.00180.x
   Duan WJ, 2020, DATA BRIEF, V29, DOI 10.1016/j.dib.2020.105379
   Dzhambov A, 2018, ENVIRON RES, V160, P47, DOI 10.1016/j.envres.2017.09.015
   Fritz MS, 2007, PSYCHOL SCI, V18, P233, DOI 10.1111/j.1467-9280.2007.01882.x
   Geng YG, 2021, J AFFECT DISORDERS, V293, P415, DOI 10.1016/j.jad.2021.06.062
   Glaser P, 2018, NEW ZEAL J PSYCHOL, V47, P12
   Gonzales JE, 2021, MEAS-INTERDISCIP RES, V19, P80, DOI 10.1080/15366367.2020.1809231
   Greenwald AG, 1998, J PERS SOC PSYCHOL, V74, P1464, DOI 10.1037/0022-3514.74.6.1464
   Greenwald AG, 2003, J PERS SOC PSYCHOL, V85, P197, DOI 10.1037/0022-3514.85.2.197
   Greenwald AG, 2009, J PERS SOC PSYCHOL, V97, P17, DOI 10.1037/a0015575
   Gyan SE, 2017, J BIOSOC SCI, V49, P334, DOI 10.1017/S002193201600047X
   Hirota T, 2019, PSYCHIAT CLIN NEUROS, V73, P601, DOI 10.1111/pcn.12910
   HOBFOLL SE, 1989, AM PSYCHOL, V44, P513, DOI 10.1037/0003-066X.44.3.513
   Hobfoll SE, 2002, REV GEN PSYCHOL, V6, P307, DOI 10.1037//1089-2680.6.4.307
   Hobfoll SE, 2001, APPL PSYCHOL-INT REV, V50, P337, DOI 10.1111/1464-0597.00062
   Hobfoll SE, 2018, ANNU REV ORGAN PSYCH, V5, P103, DOI 10.1146/annurev-orgpsych-032117-104640
   Hobfoll SE, 2015, PSYCHOL INQ, V26, P174, DOI 10.1080/1047840X.2015.1002377
   Hobfoll SE, 2012, PSYCHIATRY, V75, P227, DOI 10.1521/psyc.2012.75.3.227
   Hobfoll SE, 2011, J OCCUP ORGAN PSYCH, V84, P116, DOI 10.1111/j.2044-8325.2010.02016.x
   Hofmann W, 2005, PERS SOC PSYCHOL B, V31, P1369, DOI 10.1177/0146167205275613
   Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118
   Jabbar M, 2022, GEOJOURNAL, V87, P4405, DOI 10.1007/s10708-021-10474-7
   Jonsson KR, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17103420
   Jose PE, 2013, J GENET PSYCHOL, V174, P494, DOI 10.1080/00221325.2012.713044
   Kawachi I, 2001, J URBAN HEALTH, V78, P458, DOI 10.1093/jurban/78.3.458
   Kelly KM, 2022, CHILD YOUTH CARE FOR, V51, P85, DOI 10.1007/s10566-021-09617-1
   Kim E, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.794729
   Koay WI, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17186740
   Kumpfer K. L., 2002, Resilience and Development, DOI DOI 10.1007/0-306-47167-1_9
   Larson LR, 2019, ENVIRON BEHAV, V51, P966, DOI 10.1177/0013916518806686
   Lau RS, 2012, ORGAN RES METHODS, V15, P3, DOI 10.1177/1094428110391673
   Li CK, 2018, J COMMUNITY PSYCHOL, V46, P983, DOI 10.1002/jcop.22086
   Li QY, 2020, PERSONAL MENT HEALTH, V14, P376, DOI 10.1002/pmh.1492
   Little TD, 2002, STRUCT EQU MODELING, V9, P151, DOI 10.1207/S15328007SEM0902_1
   Liu L., 2017, J CLIN NURS, V20, P2123, DOI [10.3969/j.issn.1007-9572.2017.03.y01, DOI 10.3969/J.ISSN.1007-9572.2017.03.Y01]
   Liu QL, 2021, MEDICINE, V100, DOI 10.1097/MD.0000000000024334
   Liu Y, 2019, CHILD INDIC RES, V12, P1735, DOI 10.1007/s12187-018-9607-7
   Louv R., 2008, Last child in the woods: saving our children from nature-deficit disorder
   Louv R., 2009, Countryside Recreation, V17, P3
   LOVIBOND PF, 1995, BEHAV RES THER, V33, P335, DOI 10.1016/0005-7967(94)00075-U
   Maes MJA, 2021, NAT SUSTAIN, V4, P851, DOI 10.1038/s41893-021-00751-1
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   McCormick R, 2017, J PEDIATR NURS, V37, P3, DOI 10.1016/j.pedn.2017.08.027
   Mesman E, 2021, CURR OPIN PSYCHIATR, V34, P586, DOI 10.1097/YCO.0000000000000741
   Mojtabai R, 2016, PEDIATRICS, V138, DOI 10.1542/peds.2016-1878
   Montgomery LN, 2024, J ADVENTURE EDUC OUT, V24, P187, DOI 10.1080/14729679.2022.2100801
   Mori H, 2023, J AUTISM DEV DISORD, V53, P3825, DOI 10.1007/s10803-022-05687-9
   Mori H, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0262103
   Mygind L, 2019, HEALTH PLACE, V58, DOI 10.1016/j.healthplace.2019.05.014
   Nolen-Hoeksema S, 1999, J PERS SOC PSYCHOL, V77, P1061, DOI 10.1037/0022-3514.77.5.1061
   Ostaszewski K, 2020, INT J PUBLIC HEALTH, V65, P1221, DOI 10.1007/s00038-020-01508-x
   Paruk S, 2016, SAMJ S AFR MED J, V106, P23, DOI [10.7196/SAMJ.2016.v106i6.10943, 10.7196/samj.2016.v106i6.10943]
   Paiva PCP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103785
   Piccininni C, 2018, PREV MED, V112, P168, DOI 10.1016/j.ypmed.2018.04.020
   Pietrzak B, 2018, SCIENCE, V360, P1409, DOI 10.1126/science.aau3877
   Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9010.88.5.879
   Preacher KJ, 2008, BEHAV RES METHODS, V40, P879, DOI 10.3758/BRM.40.3.879
   Ranney RM, 2021, J CHILD FAM STUD, V30, P1247, DOI 10.1007/s10826-021-01931-5
   Rios R, 2012, ANN BEHAV MED, V43, P50, DOI 10.1007/s12160-011-9306-9
   Schwalm FD, 2022, J HEALTH PSYCHOL, V27, P1218, DOI 10.1177/1359105320984537
   Shi DX, 2020, EDUC PSYCHOL MEAS, V80, P421, DOI 10.1177/0013164419885164
   Skrove M, 2013, SOC PSYCH PSYCH EPID, V48, P407, DOI 10.1007/s00127-012-0561-2
   Soga M, 2018, LANDSCAPE URBAN PLAN, V180, P114, DOI 10.1016/j.landurbplan.2018.08.015
   Soga M, 2016, FRONT ECOL ENVIRON, V14, P94, DOI 10.1002/fee.1225
   Soga M, 2015, LANDSCAPE URBAN PLAN, V143, P69, DOI 10.1016/j.landurbplan.2015.06.003
   Uhlmann K, 2022, J ENVIRON PSYCHOL, V84, DOI 10.1016/j.jenvp.2022.101888
   Vanaken GJ, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122668
   Wang B., 2020, J HIGH ENERGY PHYS, V8, P559, DOI [10.16842/j.cnkiissn2095-5588, DOI 10.16842/J.CNKIISSN2095-5588]
   Wang K, 2016, PSYCHOL ASSESSMENT, V28, pE88, DOI 10.1037/pas0000207
   Wilson E.O., 1984, P1
   Windle G, 2011, REV CLIN GERONTOL, V21, P152, DOI 10.1017/S0959259810000420
   Xiang YH, 2020, PSYCHIAT INVEST, V17, P547, DOI 10.30773/pi.2019.0266
   Yu XN, 2011, COMPR PSYCHIAT, V52, P218, DOI 10.1016/j.comppsych.2010.05.010
   Zhang YJ, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17186640
   Zhuang XY, 2017, INT J SOC PSYCHIATR, V63, P48, DOI 10.1177/0020764016678015
NR 103
TC 13
Z9 14
U1 26
U2 102
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0272-4944
EI 1522-9610
J9 J ENVIRON PSYCHOL
JI J. Environ. Psychol.
PD MAY
PY 2023
VL 87
AR 101995
DI 10.1016/j.jenvp.2023.101995
EA MAR 2023
PG 9
WC Environmental Studies; Psychology, Multidisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Psychology
GA A6BZ1
UT WOS:000955968000001
DA 2025-04-22
ER

PT J
AU Casado-Buesa, MP
   Blanco-Romero, A
   Lopez-Gay, A
AF Casado-Buesa, Mikel Pau
   Blanco-Romero, Asuncion
   Lopez-Gay, Antonio
TI Resilience during the pandemic in touristified territories. Unequal
   impact of COVID-19 on the socio-economic fabric of the city of Barcelona
SO SCRIPTA NOVA-REVISTA ELECTRONICA DE GEOGRAFIA Y CIENCIAS SOCIALES
LA Spanish
DT Article
DE Touristification; resilience; daily shops; COVID-19
ID TOURISM; RETAIL
AB The intensive development of tourist activity in urban spaces has induced notable transformations of the urban fabric, leading to phenomena such as the overspecialization of economic activities. Therefore, it has been possible to register a reconfiguration of the social relations of the resident population with its environment as well as a modification of the way in which it accesses basic goods and services. This article explores the impact that the COVID-19 pandemic has had on them from the unequal organization of the ground floor activities. Five axes of different neighborhoods in the city of Barcelona are studied. The main objective of the article is to analyze the resilience of these axes in two main aspects: (i) the capacity of the activities to last over time and, (ii) the permanence or not of the basic services and activities in the neighborhood. Results reveal that those territories whose socioeconomic activity prior to COVID-19 was more diverse and had shops and daily services for the resident population, showed a greater capacity to adapt. Thus, they better resisted the socioeconomic impacts derived from the pandemic itself. The different degree of touristification as a relevant factor is highlighted to explain the various trajectories observed.
C1 [Casado-Buesa, Mikel Pau; Blanco-Romero, Asuncion; Lopez-Gay, Antonio] Univ Autonoma Barcelona, Dept Geog, Barcelona, Spain.
   [Lopez-Gay, Antonio] Univ Autonoma Barcelona, Ctr Estudis Demograf, Barcelona, Spain.
C3 Autonomous University of Barcelona; Autonomous University of Barcelona;
   Centre d'Estudis Demografics (CED)
RP Casado-Buesa, MP (corresponding author), Univ Autonoma Barcelona, Dept Geog, Barcelona, Spain.
EM mpcasadobuesa@gmail.com; asuncion.blanco@uab.cat; tonilopezga@gmail.com
RI Blanco-Romero, Asunción/C-2562-2016; López-Gay, Antonio/B-3848-2017
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Agencia de Ecologia Urbana, 2012, Certificacion del Urbanismo Ecologico. Guia Metodologica para los Sistemas de Auditoria, Certificacion o Acreditacion de la Calidad y Sostenibilidad en el Medio Urbano
   Ontiveros AA, 2014, ESTUD GEOGR, V75, P455, DOI 10.3989/estgeogr.201413
   Anguera-Torrell O, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103112
   Martínez-Caldentey MA, 2020, INVESTIG TUR, P1, DOI 10.14198/INTURI2020.19.01
   Barata-Salgueiro T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229433
   Beckers J, 2021, J RETAIL CONSUM SERV, V62, DOI 10.1016/j.jretconser.2021.102645
   Benitez-Aurioles B, 2022, REV ESTUD ANDAL, P71, DOI 10.12795/rea.2022.i43.04
   Berra-Sandin Mikel, 2023, ZARCH, P88, DOI [10.26754/ojszarch/zarch.2022196932, DOI 10.26754/OJSZARCH/ZARCH.2022196932]
   Blanco-Romero A., 2021, New Metropolitan Perspectives. NMP 2020. Smart Innovation, Systems and Technologies, P178, DOI [10.1007/978-3-030-48279-4_178, DOI 10.1007/978-3-030-48279-4]
   Blazquez-Salom M., 2019, Overtourism: excesses, discontents and measures in travel and tourism, P39, DOI 10.1079/9781786399823.0039
   Brand FS, 2007, ECOL SOC, V12
   Brenner Neil., 2013, Implosions/Explosions: Towards a Study of Planetary Urbanism
   Brenner Neil., 2012, URBAN CONSTELLATIONS
   Bueno Santos Izquierdo, 2022, 16 C GEOGR URB AGE M
   Che J, 2023, CITIES, V140, DOI 10.1016/j.cities.2023.104457
   Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Etxezarreta-Etxarri A, 2020, ECON RES-EKON ISTRAZ, V33, P1294, DOI 10.1080/1331677X.2020.1755878
   Frago L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158215
   Glaeser EL, 2022, URBAN STUD, V59, P3, DOI 10.1177/00420980211052230
   Guimaraes P, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14138111
   Hardaker S, 2022, CITIES, V128, DOI 10.1016/j.cities.2022.103796
   HARVEY David., 2012, Ciudades rebeldes. Del derecho a la ciudad a la revolucion urbana
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Izquierdo S. I., 2020, Pymes, Innovacion y Desarrollo, V8, P15
   Janoschka M.y., 2014, Desafios metropolitanos. Un dialogo entre Europa y America Latina, P82
   Jover J, 2020, URBAN STUD, V57, P3044, DOI 10.1177/0042098019857585
   Lashgari YS, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811463
   Lefebvre H., 1976, REVOLUCION URBANA
   Lefebvre Henri., 2013, La produccion del espacio
   Lew AA, 2014, TOURISM GEOGR, V16, P14, DOI 10.1080/14616688.2013.864325
   López-Gay A, 2021, POPUL SPACE PLACE, V27, DOI 10.1002/psp.2380
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Nanda A, 2021, J URBAN MANAG, V10, P110, DOI 10.1016/j.jum.2021.04.001
   Observatori del Turisme a Barcelona, 2020, Informe de l'activitat turistica
   Ojeda AB, 2020, GEOFORUM, V115, P143, DOI 10.1016/j.geoforum.2020.06.021
   Park S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13095185
   Postma A, 2017, J TOUR FUTURES, V3, P144, DOI 10.1108/JTF-04-2017-0022
   Ranjan R, 2012, J WATER RES PLAN MAN, V138, P512, DOI 10.1061/(ASCE)WR.1943-5452.0000201
   Romero Renau L. D., 2015, Anales de geografia de la Universidad Complutense, V35, P187, DOI [10.5209/REVAGUC.2015.V35.N1.48969, DOI 10.5209/REVAGUC.2015.V35.N1.48969]
   Sequera Jorge., 2018, City, V22, nos, P843, DOI DOI 10.1080/13604813.2018.1548819
   Sevilla Buitrago Alvaro, 2017, Espacios criticos, V9
   Sommella R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147620
   Suarez-Ponce Diocles Boanerges, 2022, Revista de Ciencias Sociales, DOI [10.31876/res.v28i1.37687, DOI 10.31876/RES.V28I1.37687]
   Velastegui J.D., 2019, European Scientific Journal ESJ, V15, DOI [10.19044/esj.2019.v15n17p1, DOI 10.19044/ESJ.2019.V15N17P1]
   Wachsmuth D, 2018, ENVIRON PLANN A, V50, P1147, DOI 10.1177/0308518X18778038
   Weltevreden JWJ, 2007, J RETAIL CONSUM SERV, V14, P192, DOI 10.1016/j.jretconser.2006.09.001
   Yrigoy I., 2019, Scripta Nova. Revista Electronica de Geografia y Ciencias Sociales, V24, P1, DOI [10.1344/sn2020.24.22643, DOI 10.1344/SN2020.24.22643]
NR 50
TC 1
Z9 1
U1 1
U2 1
PU UNIV BARCELONA, DEPT GEOGRAFIA HUMANA
PI BARCELONA
PA CALLE BALDIRI REIXACH S/N, BARCELONA, 08028, SPAIN
SN 1138-9788
J9 SCRIPTA NOVA
JI Scr. Nova
PY 2024
VL 28
IS 1
BP 171
EP 204
DI 10.1344/sn2024.28.41118
PG 34
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA F7I0B
UT WOS:001311499100001
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Rajput, AA
   Nayak, S
   Dong, SJ
   Mostafavi, A
AF Rajput, Akhil Anil
   Nayak, Sanjay
   Dong, Shangjia
   Mostafavi, Ali
TI Anatomy of perturbed traffic networks during urban flooding
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Complex networks; Traffic networks; Resilience; Higher-order networks;
   Disaster
ID VULNERABILITY; RESILIENCE; TRANSPORT; SYSTEMS
AB Urban flooding disrupts traffic networks, affecting mobility and disrupting residents' access. Flooding events are predicted to increase due to climate change; therefore, understanding traffic network's flood-caused disruption is critical to improving emergency planning and city resilience. This study reveals the anatomy of perturbed traffic networks by leveraging high-resolution traffic network data from a major flood event and advanced high-order network analysis. We evaluate travel times between every pairwise junction in the city and assess higher-order network geometry changes in the network to determine flood impacts. The findings show network wide persistent increased travel times could last for weeks after the flood water has receded, even after modest flood failure. A modest flooding of 1.3% road segments caused 8% temporal expansion of the entire traffic network. The results also show that distant trips would experience a greater percentage increase in travel time. Also, the extent of the increase in travel time does not decay with distance from inundated areas, suggesting that the spatial reach of flood impacts extends beyond flooded areas. The findings of this study provide an important novel understanding of floods' impacts on the functioning of traffic networks in terms of travel time and traffic network geometry.
C1 [Rajput, Akhil Anil; Mostafavi, Ali] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77840 USA.
   [Nayak, Sanjay] Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX 77843 USA.
   [Dong, Shangjia] Univ Delaware, Dept Civil & Environm Engn, Newark, DE 19716 USA.
C3 Texas A&M University System; Texas A&M University College Station; Texas
   A&M University System; Texas A&M University College Station; University
   of Delaware
RP Mostafavi, A (corresponding author), Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77840 USA.
EM akhil.rajput@tamu.edu; sanjaynayak@tamu.edu; sjdong@udel.edu;
   amostafavi@civil.tamu.edu
RI Mostafavi, Ali/R-2133-2018; Rajput, Akhil Anil/HKM-5215-2023
OI Nayak, Sanjay/0000-0002-2843-448X; Dong, Shangjia/0000-0003-4280-0500;
   Rajput, Akhil Anil/0000-0001-7207-4920
FU National Science Foundation, USA [1832662]; Texas A and M University
   X-Grant, USA
FX This material is based in part upon work supported by the National
   Science Foundation, USA under the CRISP 2.0 Type 2 No. 1832662 grant and
   the Texas A and M University X-Grant, USA 699. The authors also would
   like to acknowledge the data support from INRIX, USA. Any opinions,
   findings, conclusions, or recommendations expressed in this material are
   those of the authors and do not necessarily reflect the views of the
   National Science Foundation, Texas A & amp;M University, or INRIX.
CR Abenayake C, 2022, APPL GEOGR, V147, DOI 10.1016/j.apgeog.2022.102772
   Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   [Anonymous], 2018, NOAA TECHNICAL MEMOR, V6
   Badhrudeen M, 2022, URBAN SCI, V6, DOI 10.3390/urbansci6010011
   Bagloee SA, 2017, TRANSPORT RES E-LOG, V98, P60, DOI 10.1016/j.tre.2016.12.003
   Batty M, 2012, EUR PHYS J-SPEC TOP, V214, P481, DOI 10.1140/epjst/e2012-01703-3
   Bellman R, 1958, Q Appl Math, V16, P87, DOI DOI 10.1090/QAM/102435
   Bianconi G, 2021, Elements in Structure and Dynamics of Complex Networks
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Carlsson G, 2009, B AM MATH SOC, V46, P255, DOI 10.1090/S0273-0979-09-01249-X
   Chan SHY, 2011, EUR PHYS J B, V84, P563, DOI 10.1140/epjb/e2011-10889-3
   Dargin J, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102366
   Dey AK, 2019, P NATL ACAD SCI USA, V116, P19368, DOI 10.1073/pnas.1819529116
   Dong SJ, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00366-0
   Dong SJ, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102398
   Dong SJ, 2020, COMPUT ENVIRON URBAN, V80, DOI 10.1016/j.compenvurbsys.2019.101443
   Dong SJ, 2019, J R SOC INTERFACE, V16, DOI 10.1098/rsif.2019.0149
   Dumedah G, 2021, GEO-GEOGR ENVIRON, V8, DOI 10.1002/geo2.95
   El-Maissi AM, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104363
   Erath A, 2009, TRANSPORT RES REC, P118, DOI 10.3141/2137-13
   Esmalian A, 2022, TRANSPORT RES D-TR E, V104, DOI 10.1016/j.trd.2022.103214
   Fan C, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103367
   Fan Chao, 2022, NPJ URBAN SUSTAIN, V2
   FEMA, 2020, COMM LIF
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Ghanbari M, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002055
   Goldbeck N, 2019, RELIAB ENG SYST SAFE, V188, P62, DOI 10.1016/j.ress.2019.03.007
   Hamedmoghadam H, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21483-y
   Islambekov U, 2018, IEEE GLOB CONF SIG, P885, DOI 10.1109/GlobalSIP.2018.8646573
   Li DQ, 2015, P NATL ACAD SCI USA, V112, P669, DOI 10.1073/pnas.1419185112
   Li WY, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2203042119
   Liu Yi, 2019, ISPRS INT J GEO-INF, V8
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Mohebbi S, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102327
   Morelli AB, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2021.102770
   Mostafavi A, 2017, INFRASTRUCTURES-BASE, V2, DOI 10.3390/infrastructures2040022
   Noulas A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0037027
   Otter N, 2017, EPJ DATA SCI, V6, DOI 10.1140/epjds/s13688-017-0109-5
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Serok N, 2019, ENVIRON PLAN B-URBAN, V46, P1362, DOI 10.1177/2399808319837982
   Sila-Nowicka K, 2016, INT J GEOGR INF SCI, V30, P881, DOI 10.1080/13658816.2015.1100731
   Singh P, 2018, INT J DISAST RISK RE, V28, P237, DOI 10.1016/j.ijdrr.2018.03.017
   Sohouenou PYR, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2020.102672
   Stauffer D., 1992, INTRO PERCOLATION TH
   Torres JJ, 2020, J PHYS-COMPLEXITY, V1, DOI 10.1088/2632-072X/ab82f5
   Wang WP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10063-w
   Wasko C, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126994
   Xia F, 2018, IEEE COMMUN MAG, V56, P142, DOI 10.1109/MCOM.2018.1700242
   Yabe T, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103237
   Yang Y, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101466
   Yang YF, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101886
   Yuan FX, 2022, COMPUT ENVIRON URBAN, V97, DOI 10.1016/j.compenvurbsys.2022.101870
   Zomorodian A, 2010, COMPUT GRAPH-UK, V34, P263, DOI 10.1016/j.cag.2010.03.007
NR 54
TC 15
Z9 16
U1 22
U2 88
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD OCT
PY 2023
VL 97
AR 104693
DI 10.1016/j.scs.2023.104693
EA JUN 2023
PG 13
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA M6WR5
UT WOS:001031605300001
OA Bronze, Green Submitted
DA 2025-04-22
ER

PT J
AU McDonald, L
AF McDonald, Lachlan
TI Household coping behavior and its contribution to resilience to global
   macroeconomic shocks in Vanuatu and Solomon Islands
SO REVIEW OF DEVELOPMENT ECONOMICS
LA English
DT Article
ID FOOD SECURITY; PRICE; VULNERABILITY; IMPACTS; CONSUMPTION; INSECURITY;
   COUNTRIES; VIETNAM; POVERTY; CRISIS
AB This paper examines the resilience of households in Vanuatu and Solomon Islandstwo small island developing states in Melanesia renowned for their vulnerabilitiesto the adverse effects of global macroeconomic shocks. The focus is on the spike in international food and fuel prices in 2008 and the subsequent shock to global demand, known as the Global Economic Crisis (GEC). Using a unique retrospective cross-section survey, the results show that experience of these shocks was widespread across urban and rural areas. Households with more education, access to income-generating activitiesparticularly in the informal sectorand greater wealth were best placed to withstand a deterioration in their well-being, measured as a fall in self-reported disposable income. Households also employed a variety of coping strategies in response to the shocks. Local food gardens and informal insurance are seen as key safety nets in times of stress, yet neither provided full insurance from the shocks. Some households, particularly in urban areas, employed harmful coping strategies, such as reducing spending on health, education, and food. While potentially effective in withstanding a temporary fall in disposable income, these responses are likely to weaken overall resilience and leave households vulnerable to future shocks.
C1 [McDonald, Lachlan] RMIT Univ, Melbourne, Vic, Australia.
C3 Royal Melbourne Institute of Technology (RMIT)
RP McDonald, L (corresponding author), Sch Econ Finance & Mkt, Level 11,Bldg 80,445 Swanston St, Melbourne, Vic 3000, Australia.
EM plachlan88@gmail.com
OI McDonald, Lachlan/0000-0003-4839-8102
CR Akter S, 2014, GLOBAL ENVIRON CHANG, V25, P150, DOI 10.1016/j.gloenvcha.2014.02.003
   Alem Y, 2012, WORLD DEV, V40, P146, DOI 10.1016/j.worlddev.2011.04.020
   [Anonymous], 20070142 TI
   [Anonymous], 2003, SOCIAL PROTECTION DI
   [Anonymous], 2000, 0006 WORLD BANK
   Arun S, 2013, REV SOC ECON, V71, P281, DOI 10.1080/00346764.2012.761754
   Asian Development Bank, 2016, The emergence of Pacific urban villages: Urbanization trends in the Pacific Islands
   Asian Development Bank, 2008, LIV HIGH PRIC POL BR
   Barrett ChristopherB., 2014, Measuring Resilience in a Volatile World: A Proposal for a Multicountry System of Sentinel Sites
   Beegle K, 2006, J DEV ECON, V81, P80, DOI 10.1016/j.jdeveco.2005.05.003
   Bene C., 2015, DESIGN MONITORING EV
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Béné C, 2016, FOOD SECUR, V8, P123, DOI 10.1007/s12571-015-0526-x
   Bhattamishra R, 2010, WORLD DEV, V38, P923, DOI 10.1016/j.worlddev.2009.12.017
   Carter MR, 2006, J DEV STUD, V42, P178, DOI 10.1080/00220380500405261
   Coates J, 2006, J NUTR, V136, P1438, DOI 10.1093/jn/136.5.1438S
   Commonwealth of Australia, 2012, SOC PROT EC GEOWTH P
   ConceicAo P., 2009, AFRICAN DEV REV, V23, P439
   Constas Mark A., 2014, Food Security Information Network Technical Series, V2
   Corbacho A, 2007, REV DEV ECON, V11, P92, DOI 10.1111/j.1467-9361.2007.00384.x
   D'Souza A, 2014, AM J AGR ECON, V96, P790, DOI 10.1093/ajae/aat089
   DEATON A, 1991, ECONOMETRICA, V59, P1221, DOI 10.2307/2938366
   Debela B, 2012, LAND ECON, V88, P139, DOI 10.3368/le.88.1.139
   Dimova R, 2013, WORLD DEV, V46, P185, DOI 10.1016/j.worlddev.2013.02.007
   Douglas O., 1967, SOLOMON ISLAND SOC K
   Feeny S, 2009, RETHINK INT DEV, P1, DOI 10.1057/9780230234161
   Feeny S, 2016, J DEV STUD, V52, P447, DOI 10.1080/00220388.2015.1075974
   Feeny S, 2014, WORLD DEV, V64, P448, DOI 10.1016/j.worlddev.2014.06.022
   Feeny S, 2014, J DEV STUD, V50, P1055, DOI 10.1080/00220388.2014.895815
   Frankenberger Tim., 2013, BACKGROUND PAPER EXP
   Gibson J, 2013, WORLD DEV, V43, P329, DOI 10.1016/j.worlddev.2012.11.008
   Government of Solomon Islands, 2015, SOL ISL 2012 13 HOUS
   Government of Vanuatu, 2012, 2010 HOUS INC EXP SU
   Green D., 2010, The Global Economic Crisis and Developing Countries : Impact and Response
   Guillaumont P, 2010, J DEV STUD, V46, P828, DOI 10.1080/00220381003623814
   Heltberg R, 2015, J DEV STUD, V51, P209, DOI 10.1080/00220388.2014.959934
   Heltberg R, 2013, J DEV STUD, V49, P705, DOI 10.1080/00220388.2012.746668
   Heltberg R, 2009, J DEV STUD, V45, P889, DOI 10.1080/00220380902802214
   Hoddinott J, 2006, J DEV STUD, V42, P301, DOI 10.1080/00220380500405501
   Jalan J, 2000, J DEV STUD, V36, P82, DOI 10.1080/00220380008422655
   Jansen T., 2006, SOLOMON ISLANDS SMAL, V2
   Lewbel A, 2012, J BUS ECON STAT, V30, P67, DOI 10.1080/07350015.2012.643126
   Maebuta HE, 2009, PAC ECON BULL, V24, P118
   McGregor A, 2009, PAC ECON BULL, V24, P24
   MORDUCH J, 1995, J ECON PERSPECT, V9, P103, DOI 10.1257/jep.9.3.103
   Nanau Gordon Leua, 2011, OMNES: The Journal of Multicultural Society, V2, P31
   Pacific Institute of Public Policy, 2011, 19 PAC I PUBL POL
   Parks W., 2009, Protecting Pacific Island Children and Women During Economic and Food Crises: A Working Document for Advocacy, Debate and Guidance
   Regenvanu Ralph., 2009, TRADITIONAL EC SOURC
   SCHULTZ TW, 1975, J ECON LIT, V13, P827
   Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011
   Skoufias E, 2012, WORLD BANK ECON REV, V26, P415, DOI 10.1093/wber/lhr054
   Storey D., 2006, Urbanisation in the Pacific, State, Society and Governance in Melanesia Project
   Tumbarello P., 2013, 13123 IMF
   UNICEF, 2011, WORKING PAPER
   Wagstaff A, 2014, HEALTH ECON, V23, P706, DOI 10.1002/hec.2944
   Wainwright F., 2011, 358 IIIS U COLL DUBL
   Waring M., 2010, EC CRISIS UNPAID CAR
NR 58
TC 4
Z9 4
U1 1
U2 15
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1363-6669
EI 1467-9361
J9 REV DEV ECON
JI Rev. Dev. Econ.
PD NOV
PY 2018
VL 22
IS 4
BP e185
EP e201
DI 10.1111/rode.12522
PG 17
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA GY0FA
UT WOS:000448187700002
DA 2025-04-22
ER

PT J
AU Byun, JE
   D'Ayala, D
AF Byun, Ji-Eun
   D'Ayala, Dina
TI Urban seismic resilience mapping: a transportation network in Istanbul,
   Turkey
SO SCIENTIFIC REPORTS
LA English
DT Article
ID FRAGILITY CURVES; RISK-ASSESSMENT; ROAD NETWORKS; EARTHQUAKE; EQUITY;
   CITY
AB When a seismic event occurs, transportation networks play a critical role in undertaking emergency activities such as evacuation and relief supply. Accordingly, to secure their functionality, it is essential to accurately assess their resilience. In particular, this study performs a rigorous probabilistic analysis on the seismic resilience of a transportation network in Istanbul, Turkey. The analysis accuracy is enhanced by considering, along with the structural damage of roadways, the additional disruption mode of network performance caused by the debris falling from damaged objects in their vicinity. Moreover, we obtain the results as a map of resilience measure, which enables us to investigate the disruption inequality across the study area and identify critical factors that govern the system resilience. To enable such sophisticated probabilistic analysis, a Bayesian network (BN) model is developed that involves various types of information from the hazard process to the performance of structures and systems. Then, the BN is quantified by identifying and compiling a comprehensive list of datasets. Thereby, this study analyses large-scale systems involving thousands of structures, while providing general probabilistic models and data schema that can be employed for other transportation networks.
C1 [Byun, Ji-Eun] Tech Univ Munich, Engn Risk Anal Grp, Munich, Germany.
   [Byun, Ji-Eun; D'Ayala, Dina] UCL, Dept Civil Environm & Geomat Engn, London, England.
C3 Technical University of Munich; University of London; University College
   London
RP Byun, JE (corresponding author), Tech Univ Munich, Engn Risk Anal Grp, Munich, Germany.; Byun, JE (corresponding author), UCL, Dept Civil Environm & Geomat Engn, London, England.
EM j.byun@tum.de
RI ; D'Ayala, Dina/B-6356-2019
OI Byun, Ji-Eun/0000-0003-0437-5013; D'Ayala, Dina/0000-0003-3864-2052
FU Projekt DEAL
FX Open Access funding enabled and organized by Projekt DEAL.
CR Alcik H, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036659
   Anelli A, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10041289
   [Anonymous], 2016, HIGHWAY CAPACITY MAN
   [Anonymous], 2009, The study for the development of the master plan for the Kabul Metropolitan Area: Executive Summary, P1
   Argyroudis S, 2015, COMPUT-AIDED CIV INF, V30, P524, DOI 10.1111/mice.12136
   Argyroudis SA, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136854
   Byun JE, 2019, RELIAB ENG SYST SAFE, V185, P533, DOI 10.1016/j.ress.2019.01.007
   Castro S, 2019, EARTHQ SPECTRA, V35, P137, DOI 10.1193/101917EQS218M
   Çelik M, 2015, OPER RES, V63, P65, DOI 10.1287/opre.2014.1342
   D'Ayala D., 2020, TOMORROWS CITIESISTA
   Davies AJ, 2017, BULL N Z SOC EARTHQ, V50, P271, DOI 10.5459/bnzsee.50.2.271-299
   EERI (Earthquake Engineering Research Institute), 1999, The Izmit (Kocaeli), Turkey Earthquake of August 17, 1999
   Elicin Y, 2014, HABITAT INT, V41, P150, DOI 10.1016/j.habitatint.2013.07.006
   Emre Ö, 2018, B EARTHQ ENG, V16, P3229, DOI 10.1007/s10518-016-0041-2
   Erdikt M., 2003, Earthquake Engineering and Engineering, V2, P1, DOI DOI 10.1007/BF02857534
   FEMA, 2011, HAZ MH MH 2 0 EARTHQ
   Gehl P, 2016, STRUCT SAF, V60, P37, DOI 10.1016/j.strusafe.2016.01.006
   Gkimprixis A, 2021, NAT HAZARDS, V108, P1629, DOI 10.1007/s11069-021-04748-z
   ISMEP (Istanbul Seismic Risk Mitigation and Emergency Preparedness Project), 2015, ISM SUCC STOR
   Jafino BA, 2021, TRANSPORT RES A-POL, V144, P204, DOI 10.1016/j.tra.2020.12.013
   Koller D., 2009, ADAPTIVE COMPUTATION
   Lee RJ, 2017, TRANSPORT REV, V37, P211, DOI 10.1080/01441647.2016.1239660
   Markhvida M, 2020, NAT SUSTAIN, V3, P538, DOI 10.1038/s41893-020-0508-7
   Moya L, 2020, EARTHQ SPECTRA, V36, P209, DOI 10.1177/8755293019892423
   Padgett JE, 2008, EARTHQ ENG STRUCT D, V37, P1157, DOI 10.1002/eqe.801
   Padgett JE, 2010, J EARTHQ ENG, V14, P918, DOI 10.1080/13632460903447766
   Polyzos S., 2020, Theoretical and Empirical Researches in Urban Management, V15, P5
   Resvanis S., 2020, THESIS U COLL LONDON
   Santarelli S, 2018, INT J DISAST RISK RE, V31, P281, DOI 10.1016/j.ijdrr.2018.05.017
   Sawada Y, 2008, J MONEY CREDIT BANK, V40, P463, DOI 10.1111/j.1538-4616.2008.00122.x
   Sesetyan K, 2018, B EARTHQ ENG, V16, P3367, DOI 10.1007/s10518-016-0005-6
   SYNER-G, 2011, D3 1 FRAG FUNCT COMM
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zhong J, 2022, STRUCTURES, V36, P752, DOI 10.1016/j.istruc.2021.12.041
NR 34
TC 10
Z9 11
U1 7
U2 32
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD MAY 17
PY 2022
VL 12
IS 1
AR 8188
DI 10.1038/s41598-022-11991-2
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 2J2GR
UT WOS:000815482800054
PM 35581236
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Wintergalen, EW
   Fulton, S
   Molina, R
AF Wintergalen, Edward W.
   Fulton, Stuart
   Molina, Renato
TI Trans-Sector Livelihood Resilience in an Urban Small-Scale Fishing
   Community
SO JOURNAL OF DEVELOPMENT STUDIES
LA English
DT Article
DE coastal development; urbanisation; small-scale fishery; Cancun; Mexico;
   ethnography
ID COASTAL; COOPERATIVES; YUCATAN; TRENDS
AB Many coastal small-scale fishing (SSF) communities in low and middle-income countries are experiencing urbanisation due to global development and migration patterns. Scholars have documented how processes related to urbanisation present SSF communities with a unique series of opportunities and challenges. However, it is still poorly understood how SSF communities perceive and pursue resilience while adapting to these changing conditions. To address this gap, we conduct ethnographic research among the members of a fishing cooperative in Cancun, Mexico. We find that four factors related to Cancun's pattern of development have incentivized local fishers to adopt a trans-sector perspective of livelihood resilience through which they view fishing as a lucrative but fleeting opportunity, with some actively planning a transition to non-fishing livelihoods. These four factors are the depletion of local fisheries, rising land values, the proliferation of non-fishing livelihood opportunities, and regional migration patterns. Whether local fishers ultimately prove resilient to the stresses of urbanisation depends partly upon the degree to which local governance and support systems align with this perspective. By contextualizing these findings within the broader literature on SSFs and urban development, we develop a heuristic to hypothesize to what extent these findings are generalizable beyond the study context.
C1 [Wintergalen, Edward W.; Molina, Renato] Univ Miami, Rosenstiel Sch Marine Atmospher & Earth Sci, Dept Marine Environm Sci & Policy, Miami, FL USA.
   [Fulton, Stuart] Comunidad & Biodiversidad AC, Guaymas, Sonora, Mexico.
   [Molina, Renato] Univ Miami, Miami Herbert Business Sch, Econ Dept, Miami, FL USA.
C3 University of Miami; University of Miami
RP Wintergalen, EW (corresponding author), Univ Miami, Rosenstiel Sch Marine Atmospher & Earth Sci, Dept Environm Sci & Policy, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
EM eww27@miami.edu
RI MOLINA, RENATO/AAT-4387-2020; Wintergalen, Edward/JHS-4339-2023
OI Wintergalen, Edward William/0000-0003-0209-8120; Fulton,
   Stuart/0000-0001-7509-955X; Molina, Renato/0000-0002-9036-4152
FU Walton Family Foundation
FX The authors thank the members of SCPP Pescadores de Puerto Juarez for
   the incredible hospitality and generosity that made this work possible.
   The authors also thank Dr. Kenneth Broad and Dr. Stefan Gelcich for
   their valuable comments and draft revisions.
CR Aguila Arreola C., 2017, INAUGURARA EPN T4 AE
   Aguirre Barajas Y. M., 2022, NOTAS POBLACIN
   Amadu I, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810404
   [Anonymous], 2022, World Population Prospects 2022
   Arabindoo P, 2009, DEV CHANGE, V40, P879, DOI 10.1111/j.1467-7660.2009.01587.x
   Avila-Forcada S, 2020, OCEAN COAST MANAGE, V183, DOI 10.1016/j.ocecoaman.2019.104984
   Awazi NP, 2021, CLIMATIC CHANGE, V165, DOI 10.1007/s10584-021-03073-5
   Basurto Cisneros C., 2016, THESIS U TWENTE
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Bennett A, 2018, WORLD DEV, V102, P57, DOI 10.1016/j.worlddev.2017.09.006
   Bennett A, 2017, MAR POLICY, V80, P96, DOI 10.1016/j.marpol.2016.06.024
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Buelna J. E. S., 2022, THESIS COLEGIO SAN L
   Campbell D, 2021, J RURAL STUD, V81, P220, DOI 10.1016/j.jrurstud.2020.10.027
   Carbonetti B, 2014, MAR POLICY, V44, P295, DOI 10.1016/j.marpol.2013.09.020
   Chambers R., 1992, Discussion Paper - Institute of Development Studies, University of Sussex
   Charmaz K., 2014, Constructing Grounded Theory
   Chi JW, 2021, CURR ISSUES TOUR, V24, P755, DOI 10.1080/13683500.2020.1743243
   Cinti A, 2010, MAR POLICY, V34, P1322, DOI 10.1016/j.marpol.2010.06.005
   CLONTS HA, 1970, LAND ECON, V46, P489, DOI 10.2307/3145522
   CONAPESCA, 2022, REGISTRO NACL PESCA
   CONEVAL, 2021, MEDICION POBREZA ANE
   DEAVERS K, 1992, POLICY STUD J, V20, P184, DOI 10.1111/j.1541-0072.1992.tb00146.x
   Fabinyi M, 2022, J RURAL STUD, V91, P184, DOI 10.1016/j.jrurstud.2022.02.006
   FAO, 2013, INT GUIDELINES SECUR
   FAO Duke University & WorldFish, 2022, SMALL SCALE FISHERIE
   Fasal FR, 2023, ENVIRON URBAN, V35, P220, DOI 10.1177/09562478221149843
   FLORES A., 2019, El Tren Maya. Un nuevo proyecto de articulacion territorial en la Peninsula de Yucatan, Ciudad de Mexico
   FORD AE. S., 2015, Responsible Tourism: a guide for tourism and sustainability in small-scale fisheries and agri-food
   Glaser BG, 1967, DISCOV GROUNDED THEO
   Hidayat AS, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142114461
   Hoffman DM, 2014, CONSERV SOC, V12, P120, DOI 10.4103/0972-4923.138408
   INEGI, 2020, Censo de poblacion y Vivienda
   De la Cruz-González FJ, 2018, OCEAN COAST MANAGE, V154, P96, DOI 10.1016/j.ocecoaman.2018.01.008
   Kadfak A, 2020, GEOFORUM, V108, P237, DOI 10.1016/j.geoforum.2019.11.008
   Kadfak A, 2020, J DEV STUD, V56, P2030, DOI 10.1080/00220388.2019.1650168
   Kaplan-Hallam M, 2017, GLOBAL ENVIRON CHANG, V45, P89, DOI 10.1016/j.gloenvcha.2017.05.003
   Kelleher K., 2012, 66469GLB INT BANK RE
   Lee D., 2009, Rural poverty and natural resources: Improving access and sustainable management
   Leite M, 2019, ECOL SOC, V24, DOI 10.5751/ES-10910-240302
   Li T, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.155960
   Liu W, 2020, SOC INDIC RES, V150, P977, DOI 10.1007/s11205-020-02347-2
   Lopez-Ercilla I, 2021, MAR POLICY, V131, DOI 10.1016/j.marpol.2021.104606
   Barragán JM, 2015, OCEAN COAST MANAGE, V114, P11, DOI 10.1016/j.ocecoaman.2015.06.004
   Marschke MJ, 2006, ECOL SOC, V11
   Méndez-Medina C, 2020, MAR POLICY, V117, DOI 10.1016/j.marpol.2020.103939
   Méndez-Medina C, 2015, MARIT STUD, V14, DOI 10.1186/s40152-015-0026-9
   Metcalfe SE, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01586-w
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nicholls RJ, 2008, SUSTAIN SCI, V3, P89, DOI 10.1007/s11625-008-0050-4
   Palacios-Abrantes J, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0209431
   Parikh A, 2021, ENVIRON PLANN D, V39, P271, DOI 10.1177/0263775820961401
   PATAWARI AMY, 2022, BIODIVERSITAS, V23, P1715, DOI DOI 10.13057/biodiv/d230401
   Quandt A, 2018, WORLD DEV, V107, P253, DOI 10.1016/j.worlddev.2018.02.024
   Quandt A, 2017, ECOL SOC, V22, DOI [10.5751/ES-09461-220310, 10.5751/es-09461-220310]
   Quintana ACE, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.283
   Rahim MA, 2018, PROCEDIA ENGINEER, V212, P149, DOI 10.1016/j.proeng.2018.01.020
   Schuhbauer A, 2017, MAR POLICY, V82, P114, DOI 10.1016/j.marpol.2017.05.013
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Selod H, 2021, REG SCI URBAN ECON, V91, DOI 10.1016/j.regsciurbeco.2021.103713
   Sobreiro T, 2015, B LAT AM RES, V34, P53, DOI 10.1111/blar.12259
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Thulstrup AW, 2015, WORLD DEV, V74, P352, DOI 10.1016/j.worlddev.2015.05.019
   Tisdale H, 1942, SOC FORCES, V20, P311, DOI 10.2307/3005615
   Torres R., 2005, Current Issues in Tourism, V8, P259, DOI 10.1080/13683500508668218
   UN Habitat, 2022, World Cities Report
   URJCx, 2024, Datos abiertos
   Vargas Martinez E. E., 2013, ENDING TOURISTIC DES
   Walsh-Dilley M, 2016, ECOL SOC, V21, DOI 10.5751/ES-07981-210111
   Wintergalen EW, 2022, ECOL SOC, V27, DOI 10.5751/ES-13471-270346
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 71
TC 0
Z9 0
U1 2
U2 3
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0022-0388
EI 1743-9140
J9 J DEV STUD
JI J. Dev. Stud.
PD JAN 2
PY 2025
VL 61
IS 1
BP 1
EP 20
DI 10.1080/00220388.2024.2398437
EA SEP 2024
PG 20
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA Q5J1R
UT WOS:001304362800001
DA 2025-04-22
ER

PT J
AU Osth, J
   Reggiani, A
   Nijkamp, P
AF Osth, John
   Reggiani, Aura
   Nijkamp, Peter
TI Resilience and accessibility of Swedish and Dutch municipalities
SO TRANSPORTATION
LA English
DT Article; Proceedings Paper
CT 13th Nectar Annual Conference
CY 2015
CL Ann Arbor, MI
DE Resilience; Accessibility; Comparative approach; Sweden; The Netherlands
ID COMMUTING DISTANCES; ECONOMIC RESILIENCE; VULNERABILITY; CRISIS; DECAY
AB Recent years have shown a rising popularity of the concept of resilience-both theoretically and empirically-in complex systems analysis. There is also a rising literature on resilience in the transport and spatial-economic field. The pluriform interpretation of resilience (e.g., engineering vs. ecological resilience) is related to methodological differences (e.g., stability in dynamics vs. evolutionary adaptivity). But in all cases the fundamental question is whether a complex system that is subjected to an external shock is able to recover, and if so, to which extent. The present paper [Based on presentation from cluster 6 (Accessibility) of the Nectar 2015 conference in Ann Arbour, USA.] aims to add a new dimension to resilience analysis in spatial systems, by addressing in particular the relationship between spatial accessibility at a municipality level and the resilience outcomes of the spatial system concerned. It does so by investigating to which extent accessibility of Swedish and Dutch municipalities has mitigated the local shock absorption from the recent economic recession. In our study the shock absorption capacity of municipal accessibility is estimated by analysing the relevant resilience indicators for the period concerned. In this context, conventional resilience indicators based on either multivariate complex data (in particular, the Foster Resilience Capacity Index) or employment data (in particular, the Martin Resilience-Employment Index) are confronted with spatial connectivity data based on local accessibility measures, so that geographical mobility may be regarded as one of the shock-mitigating factors. The empirical analysis is carried out for two countries which have both proven to be rather shock-resistant during the recent economic crisis, viz. Sweden and The Netherlands. Clearly, the geographical structure of these countries forms a sharp mutual contrast, viz. a spatially dispersed economy with a few distinct urban concentrations versus a spatially dense economy with one major metropolitan centre (the Randstad), respectively. Our experiments are carried out for the 290 municipalities in Sweden and 40 COROPs in The Netherlands. Our research findings show relevant and new insights into differences in the local recovery potential in Sweden and The Netherlands.
C1 [Osth, John] Uppsala Univ, Dept Social & Econ Geog, Box 513, SE-75120 Uppsala, Sweden.
   [Reggiani, Aura] Univ Bologna, Dept Econ, Piazza Scaravilli 2, I-40126 Bologna, Italy.
   [Nijkamp, Peter] Adam Mickiewicz Univ, Wieniawskiego 1, PL-61712 Poznan, Poland.
   [Nijkamp, Peter] Tinbergen Inst, Gustav Mahlerlaan 117, NL-1082 MS Amsterdam, Netherlands.
C3 Uppsala University; University of Bologna; Adam Mickiewicz University;
   Tinbergen Institute
RP Osth, J (corresponding author), Uppsala Univ, Dept Social & Econ Geog, Box 513, SE-75120 Uppsala, Sweden.
EM john.osth@kultgeog.uu.se; aura.reggiani@unibo.it; pnijkamp@hotmail.com
OI Reggiani, Aura/0000-0002-8288-2187; kourtit, karima/0000-0002-7171-994X;
   Nijkamp, Peter/0000-0002-4068-8132; Osth, John/0000-0002-4536-9229
CR [Anonymous], THESIS
   [Anonymous], ACCESSIBILITY SPATIA
   [Anonymous], TRANSP RES A
   Bailey D, 2016, REG STUD, V50, P557, DOI 10.1080/00343404.2016.1146478
   Bathelt H, 2004, PROG HUM GEOG, V28, P31, DOI 10.1191/0309132504ph469oa
   Caschili S, 2015, NETW SPAT ECON, V15, P205, DOI 10.1007/s11067-015-9283-9
   Christaller W, 1933, WISSENSCHAFTLICHE BU
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   de Vries JJ, 2009, ENVIRON PLANN A, V41, P461, DOI 10.1068/a39369
   Doran J, 2016, REG STUD, V50, P644, DOI 10.1080/00343404.2015.1088642
   Eriksson RH, 2017, EUR URBAN REG STUD, V24, P87, DOI 10.1177/0969776415604016
   Fingleton B, 2013, REG SCI URBAN ECON, V43, P649, DOI 10.1016/j.regsciurbeco.2013.04.005
   Foster KA, 2007, 200807 U CAL I URB R
   Fotheringham A. S., 1989, Spatial interaction models: Formulations and applications
   HANSEN WG, 1959, J AM I PLANNERS, V25, P73, DOI 10.1080/01944365908978307
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Hommes C, 2015, J ECON DYN CONTROL, V50, P1, DOI 10.1016/j.jedc.2014.09.026
   Lagravinese R, 2015, CAMB J REG ECON SOC, V8, P331, DOI 10.1093/cjres/rsv006
   Lucas K, 2016, TRANSPORTATION, V43, P473, DOI 10.1007/s11116-015-9585-2
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Modica M, 2015, NETW SPAT ECON, V15, P211, DOI 10.1007/s11067-014-9261-7
   Munn R. E., 1986, Sustainable Development of the Biosphere, P292
   O'Kelly M.E., 2003, Journal of Geographical Systems, V5, P5
   Östh J, 2016, EUR J TRANSP INFRAST, V16, P344
   Östh J, 2015, COMPUT ENVIRON URBAN, V49, P148, DOI 10.1016/j.compenvurbsys.2014.07.007
   Östh J, 2012, TIJDSCHR ECON SOC GE, V103, P443, DOI 10.1111/j.1467-9663.2011.00697.x
   Reggiani A, 2015, TRANSPORT RES A-POL, V81, P4, DOI 10.1016/j.tra.2014.12.012
   Reggiani A, 2011, INT REGIONAL SCI REV, V34, P230, DOI 10.1177/0160017610387296
   Reilly W. J., 1931, The law of retail gravitation
   Rosenthal S.S., 2004, HDB REGIONAL URBAN E, V4, P2119, DOI 10.1016/S1574-0080(04)80006-3
   ROUWENDAL J, 1994, URBAN STUD, V31, P1545, DOI 10.1080/00420989420081421
   Tubadji A, 2016, CAMB J REG ECON SOC, V9, P103, DOI 10.1093/cjres/rsv035
   Watling D, 2012, TRANSPORT RES A-POL, V46, P772, DOI 10.1016/j.tra.2012.02.009
   Wilson A.G., 1981, GEOGRAPHY ENV SYSTEM
   Wilson A, 2009, ADV SPAT SCI, P11, DOI 10.1007/978-3-642-01554-0_2
NR 35
TC 20
Z9 23
U1 9
U2 37
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0049-4488
EI 1572-9435
J9 TRANSPORTATION
JI Transportation
PD JUL
PY 2018
VL 45
IS 4
SI SI
BP 1051
EP 1073
DI 10.1007/s11116-017-9854-3
PG 23
WC Engineering, Civil; Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Engineering; Transportation
GA GQ8FZ
UT WOS:000441989200004
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Kotzee, I
   Reyers, B
AF Kotzee, Ilse
   Reyers, Belinda
TI Piloting a social-ecological index for measuring flood resilience: A
   composite index approach
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Extreme events; Social-ecological systems; Disaster management;
   Indicator, Ecosystem service; Climate change
ID COMMUNITY RESILIENCE; CLIMATE-CHANGE; SUSTAINABLE DEVELOPMENT; ADAPTIVE
   CAPACITY; KNYSNA BASIN; RISK; VULNERABILITY; BIODIVERSITY; ADAPTATION;
   INDICATORS
AB Global increases in the magnitude and frequency of flood events have raised concerns that traditional flood management approaches may not be sufficient to deal with future uncertainties. There is a need to move towards approaches that manage the resilience of the system to floods by understanding and managing drivers of vulnerability and adaptive capacity. Here we pilot an approach to measure the resilience of a system to a flood. A method is presented in which indicators are used to measure and map the spatial distribution of the levels of flood resilience across a landscape. Using three flood affected municipalities in South Africa, 24 resilience indicators related to floods and its relevant social, ecological, infrastructural and economic aspects are selected, and integrated into a composite index using a principal components analysis (PCA). A fifth component of institutional resilience is used to explore levels of disaster planning, mitigation and public awareness capacities and where these can be increased. The PCA transformed the 24 variables into four main components, the first of which was strongly correlated with underlying social variables, while the second and third correlated well with economic and ecological variables respectively. Distinct spatial variation of flood resilience was found across the study area, with highest flood resilience in main cities, and lowest in wards located on the periphery of cities often the location of pen-urban informal settlements. The disaggregation of underlying indicators showed wards with lowest flood resilience also had the lowest social, economic and ecological resilience. The flood resilience index was sensitive to the exclusion of all three components highlighting the importance of capturing the multidimensionality of flood resilience. The approach allows for a simple, yet robust index able to include an array of datasets generally available in flood prone areas with potential to disaggregate and trace variables for management and decision making. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Kotzee, Ilse; Reyers, Belinda] Univ Stellenbosch, Conservat Ecol & Entomol, ZA-7602 Matieland, South Africa.
   [Kotzee, Ilse; Reyers, Belinda] CSIR, Nat Resources & Environm, ZA-7599 Stellenbosch, South Africa.
C3 Stellenbosch University; Council for Scientific & Industrial Research
   (CSIR) - South Africa
RP Kotzee, I (corresponding author), CSIR, Nat Resources & Environm, POB 320, ZA-7599 Stellenbosch, South Africa.
EM Ikotzee@csir.co.za; Breyers@csir.co.za
RI Reyers, Belinda/AAF-6225-2019
OI Kotzee, Ilse/0000-0001-9282-7176; Reyers, Belinda/0000-0002-2194-8656
FU Council for Scientific and Industrial Research (CSIR); UNEP; GEF;
   Stellenbosch University
FX This work was supported by Council for Scientific and Industrial
   Research (CSIR), UNEP and GEF funded Project for Ecosystem Services
   (ProEcoServ) and Stellenbosch University.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Allanson BR, 2000, T ROY SOC S AFR, V55, P97, DOI 10.1080/00359190009520435
   Allen CR, 2005, ECOSYSTEMS, V8, P958, DOI 10.1007/s10021-005-0147-x
   [Anonymous], 2002, State-of-the-art Report on Current Methodologies and Practices for Composite Indicator Development
   [Anonymous], 2012, CENS 2011 MUN REP W
   [Anonymous], 2002, CONSERV ECOL
   [Anonymous], 2008, 4 CARRI
   [Anonymous], ANAL LEGISLATION REL
   Armah FA, 2010, WATER-SUI, V2, P120, DOI 10.3390/w2020120
   Benjamin M.A., 2008, ANAL URBAN FLOOD RIS
   Bennett EM, 2005, ECOSYSTEMS, V8, P945, DOI 10.1007/s10021-005-0141-3
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Brody SD, 2010, NAT HAZARDS, V52, P167, DOI 10.1007/s11069-009-9364-5
   Brown JD, 2002, T I BRIT GEOGR, V27, P412, DOI 10.1111/1475-5661.00063
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   CATTELL RB, 1966, MULTIVAR BEHAV RES, V1, P245, DOI 10.1207/s15327906mbr0102_10
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   Chillo V, 2011, ECOSYSTEMS, V14, P1168, DOI 10.1007/s10021-011-9475-1
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dai L, 2012, SCIENCE, V336, P1175, DOI 10.1126/science.1219805
   Davidson JL, 2013, ECOL SOC, V18, DOI 10.5751/ES-05607-180304
   Eden District Municipality, 2009, ED DISTR MUN SPAT DE
   Environmental Systems Research Institute (ESRI), 2010, ARCGIS DESKT ARCINFO
   Faling W, 2012, DEV SO AFR, V29, P241, DOI 10.1080/0376835X.2012.675695
   Ferreira S., 2007, URBAN FORUM, V18, P191, DOI [DOI 10.1007/S12132-007-9011-8, 10.1007/s12132-007-9011-8]
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gomez-Limon J.A., 2008, 12 C EUR ASS AGR EC, P1
   Gunderson L, 2010, ECOL SOC, V15
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   IBM, 2021, IBM SPSS Statistics for Windows, Version 28.0
   Kazmierczak A, 2011, LANDSCAPE URBAN PLAN, V103, P185, DOI 10.1016/j.landurbplan.2011.07.008
   Krishna A., P C SOC CAP POV RED
   Krishnan V., 2010, Constructing an area-based socioeconomic index: A principal components analysis approach
   Macgregor H., 2005, DISASTER DEBRIEFING
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Malone E, 2008, CLIMATIC CHANGE, V91, P451, DOI 10.1007/s10584-008-9472-3
   Maree B., 2010, T R SOC S AFR, P37
   Marker ME, 2003, GEOGR J, V169, P32, DOI 10.1111/1475-4959.04971
   Marshall NA, 2007, ECOL SOC, V12, DOI 10.5751/es-01940-120101
   Mayunga Joseph S., 2007, SUMMER ACAD SOCIAL V
   Merz B, 2007, ADV NAT TECH HAZ RES, V25, P231
   Miao X, 2013, NAT HAZARDS, V69, P1389, DOI 10.1007/s11069-013-0753-4
   Morrow BH, 1999, DISASTERS, V23, P1, DOI 10.1111/1467-7717.00102
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Murphy BL, 2007, NAT HAZARDS, V41, P297, DOI 10.1007/s11069-006-9037-6
   Nardo M., 2005, EUROPEAN COMISSION I
   Nel JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095942
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   Nyström M, 2008, CORAL REEFS, V27, P795, DOI 10.1007/s00338-008-0426-z
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Pauchard A, 2006, BIOL CONSERV, V127, P272, DOI 10.1016/j.biocon.2005.05.015
   Pauw J., 2009, Challenges to Sustainability in the Garden Route: Water, Land and Economy, George, South Africa
   Payet K, 2013, CONSERV BIOL, V27, P531, DOI 10.1111/cobi.12065
   Pelling M.A.z., 2002, Progress in Development Studies, V2, P283, DOI [10.1191/1464993402ps042ra, DOI 10.1191/1464993402PS042RA]
   Priddy KL, 2005, SPIE
   Prior T., 2013, J RISK RES, P37
   Raju E, 2013, INT J DISAST RISK RE, V4, P92, DOI 10.1016/j.ijdrr.2013.03.001
   Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107
   Reisi M, 2014, ECOL INDIC, V43, P288, DOI 10.1016/j.ecolind.2014.03.004
   Reyers B, 2009, ECOL SOC, V14
   Salvati L, 2014, ECOL INDIC, V43, P162, DOI 10.1016/j.ecolind.2014.02.021
   Scholes RJ, 2005, NATURE, V434, P45, DOI 10.1038/nature03289
   Sitas N, 2014, LANDSCAPE ECOL, V29, P1315, DOI 10.1007/s10980-013-9952-3
   South African Local Goverment Association (SALGA), 2013, DIS RISK RED MULT AP
   Statistics South Africa, 2011, STAT S AFR S AFR I K
   Tallis H, 2012, BIOSCIENCE, V62, P977, DOI 10.1525/bio.2012.62.11.7
   Tempelhoff J, 2009, JAMBA-J DISASTER RIS, V2, P93
   ten Brinke WBM, 2008, P I CIVIL ENG-MUNIC, V161, P93, DOI [10.1680/muen.2008.161.2.93, 10.1680/muen.2008.161.293]
   Thakur PK, 2012, NAT HAZARDS, V61, P501, DOI 10.1007/s11069-011-9932-3
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Turpie JK, 2002, WATER SA, V28, P191
   Valipour M, 2015, ARCH AGRON SOIL SCI, V61, P1247, DOI 10.1080/03650340.2014.986471
   Valipour M, 2015, ARCH AGRON SOIL SCI, V61, P907, DOI 10.1080/03650340.2014.961433
   Valipour M, 2015, ARCH AGRON SOIL SCI, V61, P657, DOI 10.1080/03650340.2014.944903
   Valipour M, 2015, APPL WATER SCI, V5, P367, DOI 10.1007/s13201-014-0199-1
   van Nes EH, 2007, AM NAT, V169, P738, DOI 10.1086/516845
   Vromans D.C., 2010, BIODIVERSITY SECTOR
   Vyas S, 2006, HEALTH POLICY PLANN, V21, P459, DOI 10.1093/heapol/czl029
   Walker B., 2004, Ecology and Society, V9, P5
NR 91
TC 204
Z9 227
U1 16
U2 298
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD JAN
PY 2016
VL 60
BP 45
EP 53
DI 10.1016/j.ecolind.2015.06.018
PG 9
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA CZ9GW
UT WOS:000367407000006
DA 2025-04-22
ER

PT J
AU Zhong, QK
   Chen, Y
   Yan, JL
AF Zhong, Qikang
   Chen, Yue
   Yan, Jiale
TI Comprehensive evaluation of community human settlement resilience and
   spatial characteristics based on the supply-demand mismatch between
   health activities and environment: a case study of downtown Shanghai,
   China
SO GLOBALIZATION AND HEALTH
LA English
DT Article
DE DPSIR model; Community human settlement resilience; Spatial
   heterogeneity; Geographical detector; Downtown Shanghai
ID ECOSYSTEM SERVICES; PHYSICAL-ACTIVITY; VULNERABILITY; URBANIZATION;
   FRAMEWORK; IMPACTS; CLIMATE; DPSIR; AIR
AB IntroductionUnder globalization, human settlement has become a major risk factor affecting life. The relationship between humans and the environment is crucial for improving community resilience and coping with globalization. This study focuses on the key contradictions of community development under globalization, exploring community resilience by analyzing the mismatch between residents' health activities and the environment.MethodsUsing data from Shanghai downtown, including land use, Sports app, geospatial and urban statistics, this paper constructs a comprehensive community resilience index (CRI) model based on the DPSIR model. This model enables quantitative analysis of the spatial and temporal distribution of Community Human Settlement Resilience (CR). Additionally, the paper uses geodetector and Origin software to analyze the coupling relationship between drivers and human settlement resilience.Resultsi) The scores of CR showed a "slide-shaped" fluctuation difference situation; ii) The spatial pattern of CR showed a "pole-core agglomeration and radiation" type and a "ring-like agglomeration and radiation" type. iii) Distance to bus stops, average annual temperature, CO2 emissions, building density and number of jogging trajectories are the dominant factors affecting the resilience level of community human settlement.ConclusionThis paper contributes to the compilation of human settlement evaluation systems globally, offering insights into healthy community and city assessments worldwide. The findings can guide the creation of similar evaluation systems and provide valuable references for building healthy communities worldwide.
C1 [Zhong, Qikang; Chen, Yue] Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China.
   [Yan, Jiale] Irvine Valley Coll, Irvine, CA 92618 USA.
C3 Central South University; Irvine Valley College
RP Chen, Y (corresponding author), Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China.
EM chenyue0905@126.com
RI Yan, Jiale/AIF-4021-2022
OI Chen, Yue/0000-0002-0132-4993; Zhong, Qikang/0000-0003-4911-2233
FU We would like to thank the anonymous reviewers for their very helpful
   and constructive input.
FX We would like to thank the anonymous reviewers for their very helpful
   and constructive input.
CR Abdul-Rahman M, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103060
   Anciaes P, 2022, TRANSPORT RES A-POL, V163, P266, DOI 10.1016/j.tra.2022.05.016
   Ang WHD, 2022, CURR PSYCHOL, V41, P8132, DOI 10.1007/s12144-021-01830-4
   Auliagisni W, 2022, WATER-SUI, V14, DOI 10.3390/w14203238
   Bartos SE, 2019, PSYCHOL SEX, V10, P234, DOI 10.1080/19419899.2019.1596973
   Cacioppo JT, 2011, AM PSYCHOL, V66, P43, DOI 10.1037/a0021419
   Cao F, 2013, GISCI REMOTE SENS, V50, P78, DOI 10.1080/15481603.2013.778562
   Carver A, 2010, J URBAN HEALTH, V87, P29, DOI 10.1007/s11524-009-9402-3
   Chambers JC, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00241
   Chen B, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070926
   Chen JS, 2023, ENVIRON SCI POLLUT R, V30, P3726, DOI 10.1007/s11356-022-22420-2
   Chen TT, 2016, HABITAT INT, V58, P12, DOI 10.1016/j.habitatint.2016.09.001
   Cheng T, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.103997
   Chuai XM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010252
   Chuang WC, 2018, J ENVIRON MANAGE, V213, P353, DOI 10.1016/j.jenvman.2018.01.083
   Cong XP, 2021, LAND-BASEL, V10, DOI 10.3390/land10090993
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   de Jalon SG, 2021, LANDSCAPE URBAN PLAN, V215, DOI 10.1016/j.landurbplan.2021.104229
   Drieling RL, 2014, J ACAD NUTR DIET, V114, P257, DOI 10.1016/j.jand.2013.07.025
   Duan TT, 2021, SCI TOTAL ENVIRON, V801, DOI 10.1016/j.scitotenv.2021.149528
   Dür M, 2016, PSYCHONEUROENDOCRINO, V65, P138, DOI 10.1016/j.psyneuen.2015.12.015
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Ge DD, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142114533
   Gillespie-Marthaler L, 2019, RISK ANAL, V39, P2479, DOI 10.1111/risa.13344
   Gu ZN, 2022, LAND-BASEL, V11, DOI 10.3390/land11111976
   Guan YY, 2022, ENVIRON DEV SUSTAIN, V24, P4150, DOI 10.1007/s10668-021-01610-x
   Han I, 2018, TRANSPORT RES D-TR E, V63, P706, DOI 10.1016/j.trd.2018.07.010
   He D, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.987396
   Hu QY, 2020, HABITAT INT, V105, DOI 10.1016/j.habitatint.2020.102278
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huang ZH, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000476
   Jiang YP, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084105
   Kavanagh SA, 2022, BMC PUBLIC HEALTH, V22, DOI 10.1186/s12889-022-12788-8
   Jolgehnejad AK, 2021, DISASTER MED PUBLIC, V15, P661, DOI 10.1017/dmp.2020.112
   Ladi T, 2022, CASE STUD TRANSP POL, V10, P434, DOI 10.1016/j.cstp.2022.01.004
   Li XM, 2021, LAND-BASEL, V10, DOI 10.3390/land10121400
   Li Y, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116790
   Li YC, 2011, J GEOGR SCI, V21, P346, DOI 10.1007/s11442-011-0849-2
   Lin YZ, 2022, ENVIRON SCI POLLUT R, V29, P39807, DOI 10.1007/s11356-021-18235-2
   Liu H, 2022, LAND-BASEL, V11, DOI 10.3390/land11050646
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Lü JJ, 2015, INT J ENV RES PUB HE, V12, P14887, DOI 10.3390/ijerph121114887
   Lu Y Li R Mao XI Wang SH. Towards comprehensive regional resilience evaluation resistance recovery and creativity: From the perspective of the, 2008, International Journal of Disaster Risk Reduction, V2022, P82
   Ma RF, 2016, J GEOGR SCI, V26, P1159, DOI 10.1007/s11442-016-1320-1
   McMahon SK, 2019, GERONTOLOGIST, V59, P436, DOI 10.1093/geront/gnx210
   Nieuwendyk LM, 2016, HEALTH PROMOT CHRON, V36, P175, DOI 10.24095/hpcdp.36.9.01
   Qiu BK, 2015, ECOL INDIC, V57, P505, DOI 10.1016/j.ecolind.2015.04.025
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Reams MA, 2019, REV ENVIRON HEALTH, V34, P235, DOI 10.1515/reveh-2019-0022
   Sanyal J, 2005, HYDROL PROCESS, V19, P3699, DOI 10.1002/hyp.5852
   Sarkki S, 2017, CLIM RES, V73, P7, DOI 10.3354/cr01437
   Schirpke U, 2017, ECOSYST SERV, V26, P79, DOI 10.1016/j.ecoser.2017.06.008
   Schrammeijer EA, 2022, ECOL INDIC, V140, DOI 10.1016/j.ecolind.2022.109031
   Seidl R, 2016, J APPL ECOL, V53, P120, DOI 10.1111/1365-2664.12511
   Shahidullah AKM, 2020, LOCAL ENVIRON, V25, P967, DOI 10.1080/13549839.2020.1849077
   Shi G, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16132318
   Song JL Pandey R Dong GP Sharifi A Subedi BP. Urban-Rural Disparity in Community Resilience: A Multilevel Analysis of the Relief Progress after the, 2015, Sustain Cities Soc, V2022, P79
   Stanesby O, 2021, J TRANSP HEALTH, V22, DOI 10.1016/j.jth.2021.101139
   Stori FT, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00571
   Stotten R, 2021, ECOL SOC, V26, DOI 10.5751/ES-12580-260329
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Tai XL, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120969
   Tang JH, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19116664
   Tian SZ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12020178
   Treichler EBH, 2020, INT PSYCHOGERIATR, V32, P173, DOI 10.1017/S1041610219002096
   Villeneuve PJ, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15081719
   Wang HF, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11154186
   Wang Y, 2022, ENVIRON SCI POLLUT R, V29, P60153, DOI 10.1007/s11356-022-20092-6
   Wang YX., 2022, China Geomatics Natural Hazards Risk, V13, P1946
   Wang ZY, 2019, BMC PUBLIC HEALTH, V19, DOI 10.1186/s12889-019-7593-4
   Wang ZY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042077
   Wei YG, 2019, J CLEAN PROD, V212, P698, DOI 10.1016/j.jclepro.2018.11.155
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Wilson CA, 2021, AGEING SOC, V41, P1920, DOI 10.1017/S0144686X20000112
   Wister A, 2022, Frontiers in Public Health, P10
   Wu F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187361
   Wu XL, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106243
   Wu Y, 2020, ECOL INDIC, V112, DOI 10.1016/j.ecolind.2020.106088
   Xie TC, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14073752
   Xu X, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19020816
   Xu Z, 2012, BUILD ENVIRON, V47, P272, DOI 10.1016/j.buildenv.2011.07.012
   Xue XL, 2018, NAT HAZARDS, V90, P477, DOI 10.1007/s11069-017-3040-y
   Yang M, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912294
   Ye L, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191811472
   Yousafzai S, 2022, ENVIRON SCI POLLUT R, V29, P81337, DOI 10.1007/s11356-022-21393-6
   Yu X, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1016839
   Zhang H, 2021, ENVIRON DEV, V39, DOI 10.1016/j.envdev.2021.100616
   Zhang ZH, 2022, INT J APPL EARTH OBS, V109, DOI 10.1016/j.jag.2022.102782
   Zhao MY, 2016, INT J GEOGR INF SCI, V30, P2421, DOI 10.1080/13658816.2016.1178389
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Zhong JJ., 2022, Deng YH, P10
   Zhu LK, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12244026
NR 93
TC 7
Z9 7
U1 19
U2 84
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
EI 1744-8603
J9 GLOBALIZATION HEALTH
JI Global. Health
PD NOV 16
PY 2023
VL 19
IS 1
AR 87
DI 10.1186/s12992-023-00976-z
PG 21
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA Y3FR4
UT WOS:001104165900001
PM 37974200
OA Green Submitted, Green Published, gold
DA 2025-04-22
ER

PT J
AU Tutin, C
   Vorms, B
AF Tutin, Christian
   Vorms, Bernard
TI French housing markets after the subprime crisis: from exuberance to
   resilience
SO JOURNAL OF HOUSING AND THE BUILT ENVIRONMENT
LA English
DT Article
DE Housing market; French housing system; Residential mortgage loans;
   Housing finance
AB The main topic addressed in this paper is the special attributes of the French system as regards both the house price upsurge in the precrisis decade and the resilience of the housing system since 2007. Why was the housing market so buoyant before 2007, and why did it stabilize so rapidly after 2008? Apart from the nature of the credit system, which is of course of great importance-especially with respect to resilience-answering this question leads to questions concerning recent trends in tenure, urban structures, income distribution and housing policies. A number of similarities can be observed with Nordic countries, especially with Sweden, which can explain why those countries were exuberant without generating the kind of fragility observed in Anglo-Saxon, southern or eastern European countries.
C1 [Tutin, Christian] Univ Paris Est Creteil, Fac Sci Econ & Gest, F-94010 Creteil, France.
   [Vorms, Bernard] ANIL, Paris, France.
C3 Universite Paris-Est-Creteil-Val-de-Marne (UPEC)
RP Tutin, C (corresponding author), Univ Paris Est Creteil, Fac Sci Econ & Gest, 61 Ave Gen Gaulle, F-94010 Creteil, France.
EM christian.tutin@u-pec.fr; bernard.vorms@gmail.com
CR A.C.P. (Autorite de controle prudentiel), 2012, AN SYNTH, V5
   Andrews D., 2011, OECD Economics Department Working Papers, V836
   Andrews D., 2010, OECD EC DEP WORKING, V831
   [Anonymous], 2010, OECD EC DEP WORKING
   [Anonymous], 2008, WORLD EC OUTLOOK
   [Anonymous], HOUSING FINANCE INT
   [Anonymous], HYP 2010 REV EUR MOR
   Ball M., 2011, EUROPEAN HOUSING REV
   Ben Jelloul M., 2011, NOTE DANALYSE
   Clayton J, 2010, J REAL ESTATE FINANC, V40, P14, DOI 10.1007/s11146-008-9128-0
   Cour des Comptes, 2012, POL VILL DEC REF
   ECB, 2009, OCCASIONAL PAPER SER, V101
   Engelhardt GV, 1996, J MONEY CREDIT BANK, V28, P255, DOI 10.2307/2078026
   Filippi B., 2007, RECHERCHE, V175
   Filippi B., 2011, SOCIAL HOUSING EUROP, P172
   Friggit J., 2011, QUELLES PERSPECTIVES, V9, P14
   Gabrielli D., 2005, B BANQUE FRANCE, P33
   Hort K, 2000, REG SCI URBAN ECON, V30, P99, DOI 10.1016/S0166-0462(99)00028-9
   I.N.S.E.E, 2010, INSEE PREMIERE
   Jacquot A., 2012, OBSERVATIONS STAT
   Johansson A., 2011, OECD EC DEP WORKING, V837
   Kemeny J., 1995, PUBLIC HOUSING SOICA
   Ministere de l'economie et des finances, 2012, RAPPORT EC, V1, P109
   Rothenberg J., 1991, MAZE URBAN HOUSING
   Tutin C., 2005, ENHR ANN C
   Tutin C., 2008, ENHR ANN C DUBL
   Tutin C., 1990, ETUDES FONCIERES
   van der Heijden H, 2011, J HOUS BUILT ENVIRON, V26, P295, DOI 10.1007/s10901-011-9230-0
   Vorms B., 2009, HABITAT ACTUALITE
   Vorms B., 2010, INFORM SOCIALES, V155, P120
NR 30
TC 7
Z9 7
U1 2
U2 10
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1566-4910
EI 1573-7772
J9 J HOUS BUILT ENVIRON
JI J. Hous. Built Environ.
PD JUN
PY 2014
VL 29
IS 2
SI SI
BP 277
EP 298
DI 10.1007/s10901-013-9388-8
PG 22
WC Environmental Studies; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration; Urban Studies
GA AN5HJ
UT WOS:000340621100006
DA 2025-04-22
ER

PT J
AU Moffatt, S
AF Moffatt, Sebastian
TI Resilience and competing temporalities in cities
SO BUILDING RESEARCH AND INFORMATION
LA English
DT Article
DE built environment; cities; resilience; temporal perspectives; time; time
   lines; time models; urban planning
ID TIME; CYCLE
AB How the notion of time is conceptualized can directly influence the planning, design, operation and management of cities. Resilience can be understood as an innovation in timing because it changes how people consider, value and act upon the future. Time concepts are part of a deep-rooted culturally specific sociological paradigm, and are central to society's identity and world view. To understand the scope for changing timing paradigms, an exploration is made into the historical interaction between time concepts, economic systems and built environments. Consideration is given to what kind of changes are most needed in timing, especially in light of the accelerating time preferences that can undermine long-term planning and inhibit serious discussion about the future. A new urban-based timing protocol is presented that integrates the scenario planning process by extending time horizons of the past and future, and by combining backcasting and forecasting. The new approach creates an integrated system of timing. Although many institutional barriers may frustrate adoption efforts, a number of positive opportunities are identified. These include the potential for new city-based networks to collaborate around the development and adoption of more appropriate timing tools, with support from national and international funding agencies.
C1 Consensus Inst Inc, Salt Spring Isl, BC V8K 1M3, Canada.
RP Moffatt, S (corresponding author), Consensus Inst Inc, 205 Starks Rd, Salt Spring Isl, BC V8K 1M3, Canada.
EM Seb.Moffatt@ConsensusInstitute.org
FU Albert-Luck Foundation, Zurich, Switzerland
FX This paper benefited from comments and feedback received at the 'Built
   Environment Resilience' workshop, 14-15 January 2013. The workshop was
   organized by the Institute of Historic Building Research and
   Conservation (IDB at the Swiss Federal Institute of Technology Zurich
   (ETHZ), Professor Uta Hassler) together with the editor of Building
   Research and Information (BRI). The Collegium Helveticum a
   transdisciplinary laboratory of ETHZ and the University of Zurich,
   hosted the workshop. The workshop was funded by the Albert-Luck
   Foundation, Zurich, Switzerland. Discussions at this workshop helped to
   focus the paper on understanding why there is such a lack of
   synchronicity between prevailing cultural time concepts on the one hand,
   and time scales for built environments on the other. Further input of
   substantive value was received from Professor Niklaus Kohler, who helped
   to connect the paper to the author's past work with resilience and urban
   planning, and who encouraged the author to include specific proposals
   for new timing tools. Special thanks are also due to Richard Lorch, who
   went far beyond the requirements for an editor by investing considerable
   time and thought into tightening and improving arguments.
CR Adam B., 2013, TIME SOCIAL THEORY
   [Anonymous], 1980, The Natural Philosophy of Time
   Atkinson Adrian., 1991, Principles of Political Ecology
   Benevolo L., 1980, History of the city
   Brand Stewart., 2000, CLOCK LONG NOW
   Braudel Ferdinand., 1992, The Perspective of the World: Civilization and Capitalism 15th-18th Century, V3
   Campbell T., 2012, Beyond Smart Cities: How Cities Network, Learn and Innovate
   Castells M., 1996, Rise of The Network Society
   CHANDLER M, 1994, PSYCHOL INQ, V5, P245, DOI 10.1207/s15327965pli0503_12
   Cole RJ, 2012, BUILD RES INF, V40, P39, DOI 10.1080/09613218.2011.610608
   Daly HermanE., 1994, For the Common Good: Redirecting the Economy toward Community, the Environment, and a Sustainable Future, V2nd
   DYSON FJ, 1979, REV MOD PHYS, V51, P447, DOI 10.1103/RevModPhys.51.447
   Elias N., 1991, Time: An Essay
   Fraisse P., 1963, The psychology of time
   Giddens Anthony., 2002, Runaway World: How Globalisation is Reshaping Our Lives
   Goudsblom J., 2001, TIME MATTERS GLOBAL
   Graham S., 2001, SPLINTERING URBANISM, DOI [DOI 10.4324/9780203452202, 10.4324/9780203452202]
   Grubler Arnulf., 1998, TECHNOLOGY GLOBAL CH, DOI [10.1017/CBO9781316036471, DOI 10.1017/CBO9781316036471]
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Habermas Jurgen., 1987, The Philosophical Discourse of Modernity: Twelve Lectures
   Harvey David, 1989, CONDITION POSTMODERN
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Itoh S., 2003, INT GAS UN SPEC PROJ
   Jones H., 1978, FORECASTING TECHNOLO
   Kompridis N., 2001, TRANSFORMATION MODER
   Kuhn Thomas., 1962, The Structure of Scientific Revolutions
   Kurzweil R., 2001, The law of accelerating returns
   Kushan K., 2005, POSTINDUSTRIAL POSTM
   Laverty KJ, 1996, ACAD MANAGE REV, V21, P825, DOI 10.2307/259003
   LAWRENCE DL, 1990, ANNU REV ANTHROPOL, V19, P453, DOI 10.1146/annurev.an.19.100190.002321
   Levin S, 1999, Fragile Dominion: Complexity and the Commons
   Lynch Kevin., 1993, What Time Is This Place?
   Markandya A., 1991, World Bank Research Observer, V6, P137, DOI 10.1093/wbro/6.2.137
   Mumford Lewis., 1938, CULTURE CITIES
   NAKICENOVIC N, 1988, CITIES THEIR VITAL S
   Nasr S. H., 2001, HIST CITIES SACRED S
   NOWOTNY H., 1994, TIME MODERN POSTMODE
   Overton W. F., 1994, PSYCHOL INQ, V5, P72
   OVERTON WF, 1994, PSYCHOL INQ, V5, P215, DOI 10.1207/s15327965pli0503_9
   Pearce D.W., 1993, World without End: Economics, Environment, and Sustainable Development
   Piaget J., 1955, CHILDS CONSTRUCTION
   Quist J., 2007, Backcasting for a sustainable future: the impact after 10 years
   Rapoport Amos., 1982, The Meaning of the Built Environment: A Nonverbal Communication Approach
   Redman CharlesL., 1999, Human Impact on Ancient Environments
   Rees WE, 2009, BUILD RES INF, V37, P300, DOI 10.1080/09613210902781470
   Serageldin Ismail., 2001, Historic Cities and Sacred Sites, Cultural Roots for Urban Features
   Sheltair Group, 2003, CIT PLUS SUST URB SY
   SMITH T, 1988, TIME PUBLIC POLICY
   Sorokin P., 1943, Sociocultural causality, space, time
   UN DESA Population Division, 2011, ESAPWP223 UN DESA PO
   Wallerstein ImmanuelM., 1998, Utopistics: Or Historical Choices of the Twenty-First Century
   Weber Max, 2005, The Protestant Ethic and the Spirit of Capitalism, V1st
   Yamada Y, 2006, CULT PSYCHOL, V12, P143, DOI 10.1177/1354067X06064575
NR 53
TC 13
Z9 13
U1 1
U2 24
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0961-3218
EI 1466-4321
J9 BUILD RES INF
JI Build. Res. Informat.
PD MAR 4
PY 2014
VL 42
IS 2
SI SI
BP 202
EP 220
DI 10.1080/09613218.2014.869894
PG 19
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA 290RP
UT WOS:000329776300008
DA 2025-04-22
ER

PT J
AU Bhavathrathan, BK
   Patil, GR
AF Bhavathrathan, Bhattiyil Kuzhiyamkunnath
   Patil, Gopal R.
TI Algorithm to Compute Urban Road Network Resilience
SO TRANSPORTATION RESEARCH RECORD
LA English
DT Article
ID FICTITIOUS PLAY; TRAFFIC ASSIGNMENT; EQUILIBRIUM
AB Road network resilience is emerging as a vital planning criterion. Yet, unique and cross-comparable indices for road network resilience are scarce. One of the recent approaches determines resilience as a unique network attribute based on the system travel time at an upper envelope of operable disruptions. This upper envelope represents 'critical states' (or tipping points) of capacity disruptions. Critical state gives a bounding capacity degradation vector, beyond which the network cannot wholly cater to the origin-destination demand even under the best possible traffic assignment. However, solving the critical state identification problem (CSP) on real-scale networks has remained a challenge. This paper presents a weighted fictitious play algorithm to fill this gap. CSP has been previously envisaged as a two-player game between a network attacker and a network defender. Here, we make the players play iteratively, and make them learn from the competitor's past strategies so that they converge to an equilibrium. We illustrate the method on a simple toy network, and solve it on different real-life networks. Resilience of the Anaheim city network was computed in 42.8 min., considerably outperforming-both in problem-size and solution-time-the previous, two-space genetic algorithm.
C1 [Bhavathrathan, Bhattiyil Kuzhiyamkunnath; Patil, Gopal R.] Indian Inst Technol, Dept Civil Engn, Transportat Syst Engn, Mumbai, Maharashtra, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay
RP Patil, GR (corresponding author), Indian Inst Technol, Dept Civil Engn, Transportat Syst Engn, Mumbai, Maharashtra, India.
EM gpatil@iitb.ac.in
RI BK, Bhavathrathan/AAU-1231-2020; Patil, Gopal/P-4567-2014; Bhattiyil
   Kuzhiyamkunnath, Bhavathrathan/D-9404-2016
OI Patil, Gopal/0000-0002-2281-1870; Bhattiyil Kuzhiyamkunnath,
   Bhavathrathan/0000-0001-7993-6861
CR Bach F, 2015, SIAM J OPTIMIZ, V25, P115, DOI 10.1137/130941961
   Berger U, 2005, J ECON THEORY, V120, P139, DOI 10.1016/j.jet.2004.02.003
   Bhavathrathan BK, 2015, TRANSPORTMETRICA A, V11, P836, DOI 10.1080/23249935.2015.1087230
   Bhavathrathan BK, 2015, COMPUT ENVIRON URBAN, V54, P108, DOI 10.1016/j.compenvurbsys.2015.07.005
   Brown G. W, 1951, ACTIVITY ANAL PRODUC, P374
   Chen CC, 2013, TRANSPORT RES REC, P92, DOI 10.3141/2378-10
   Chen LC, 2012, TRANSPORT SCI, V46, P109, DOI 10.1287/trsc.1110.0376
   Faturechi R, 2014, TRANSPORT RES B-METH, V70, P47, DOI 10.1016/j.trb.2014.08.007
   Ferguson T.S., 2014, GAME THEORY, Vsecond
   FISK C, 1980, TRANSPORT RES B-METH, V14, P243, DOI 10.1016/0191-2615(80)90004-1
   Frank M., 1956, NAVAL RES LOGIST QUA, V3, P95, DOI [10.1002/nav.3800030109, DOI 10.1002/NAV.3800030109]
   Fudenberg Drew, 1998, THEORY LEARNING GAME
   Garcia A, 2000, TRANSPORT RES B-METH, V34, P147, DOI 10.1016/S0191-2615(99)00018-1
   GILBOA I, 1991, ECONOMETRICA, V59, P859, DOI 10.2307/2938230
   Herrmann J. W., 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), P1099, DOI 10.1109/CEC.1999.782545
   Herrmann J. W, 1999, GENETIC ALGORITHM MI
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Jaggi M, 2013, P 30 INT C MACH LEAR, V28, P427
   Jensen MT, 2004, APPL OPTIM, V86, P369
   Jiang QY, 2005, IEEE T POWER DELIVER, V20, P1059, DOI 10.1109/TPWRD.2004.838522
   LEBLANC LJ, 1975, TRANSPORT RES, V9, P309, DOI 10.1016/0041-1647(75)90030-1
   Leslie DS, 2006, GAME ECON BEHAV, V56, P285, DOI 10.1016/j.geb.2005.08.005
   Matisziw TC, 2009, COMPUT OPER RES, V36, P16, DOI 10.1016/j.cor.2007.09.004
   McMahan H.B., 2007, Journal of Machine Learning Research - Proceedings Track, V2, P323
   MILGROM P, 1990, ECONOMETRICA, V58, P1255, DOI 10.2307/2938316
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   Mitradjieva M, 2013, TRANSPORT SCI, V47, P280, DOI 10.1287/trsc.1120.0409
   Murray-Tuite P.M., 2006, P 2006 WINT SIM C MO
   Nair R, 2010, TRANSPORT RES REC, P54, DOI 10.3141/2166-07
   Oh JS, 2002, TRANSPORT RES REC, P167
   Patil GR, 2016, ADV COMPLEX SYST, V19, DOI 10.1142/S021952591650003X
   Perederieieva O, 2015, COMPUT OPER RES, V54, P90, DOI 10.1016/j.cor.2014.08.024
   POWELL WB, 1982, TRANSPORT SCI, V16, P45, DOI 10.1287/trsc.16.1.45
   ROBINSON J, 1951, ANN MATH, V54, P296, DOI 10.2307/1969530
   Rosenkrantz D. J, 2005, DEPENDABLE COMPUTIN
   Sela A, 1999, INT J GAME THEORY, V28, P189, DOI 10.1007/s001820050012
   Sharma S, 2009, TRANSPORT RES REC, P95, DOI 10.3141/2090-11
   SHEFFI Y, 1981, TRANSPORT RES B-METH, V15, P53, DOI 10.1016/0191-2615(81)90046-1
   Sheffi Y., 1985, Urban transportation networks
   Sterbenz JPG, 2010, COMPUT NETW, V54, P1245, DOI 10.1016/j.comnet.2010.03.005
   Swenson B, 2015, IEEE T SIGNAL PROCES, V63, P3888, DOI 10.1109/TSP.2015.2434327
   Taylor MAP, 2012, TRANSPORT RES A-POL, V46, P761, DOI 10.1016/j.tra.2012.02.008
   Wilson G., 2017, J. Appl.Volcanol., V6, P1, DOI [10.1186/s13617-017-0065-6, DOI 10.1186/S13617-017-0065-6]
   Zhang DF, 2011, J TRANSP SECUR, V4, P201, DOI 10.1007/s12198-011-0067-2
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   2016, MATH PROGRAM, V155, P199, DOI DOI 10.1007/S10107-014-0841-6
NR 46
TC 10
Z9 10
U1 2
U2 20
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0361-1981
EI 2169-4052
J9 TRANSPORT RES REC
JI Transp. Res. Record
PD DEC
PY 2018
VL 2672
IS 48
BP 104
EP 115
DI 10.1177/0361198118793329
PG 12
WC Engineering, Civil; Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Transportation
GA HY5UB
UT WOS:000468192600010
DA 2025-04-22
ER

PT J
AU Stevens, Q
   Awepuga, F
   Dovey, K
AF Stevens, Quentin
   Awepuga, Fauster
   Dovey, Kim
TI Temporary and Tactical Urbanism in Australia: Perspectives from Practice
SO URBAN POLICY AND RESEARCH
LA English
DT Article
DE Tactical urbanism; temporary urbanism; open space; public interest;
   community engagement; urban design
ID SPACES
AB "Temporary" and "tactical" (T/T) urbanism is argued to herald a more agile future for urban design and planning, enhancing urban intensity, community engagement, innovation, resilience and local identity. Drawing on interviews with expert practitioners, this paper explores the distinctive character of Australian "T/T" urbanism approaches. It examines their diverse, dynamic assemblages of actors and interests, and their links to neoliberal deregulation, austerity, gentrification, and to long-term state planning and investment. While Australian T/T urbanism follows overseas precedents, it is seen less as a"DIY" or "guerrilla" response to neoliberal regimes, and more focussed on enhancing citizen engagement and collaboration within planning.
C1 [Stevens, Quentin; Awepuga, Fauster] RMIT Univ, Sch Architecture & Urban Design, POB 2476, Melbourne, Vic 3001, Australia.
   [Dovey, Kim] Univ Melbourne, Melbourne Sch Design, Melbourne, Vic, Australia.
C3 Royal Melbourne Institute of Technology (RMIT); University of Melbourne
RP Stevens, Q (corresponding author), RMIT Univ, Sch Architecture & Urban Design, POB 2476, Melbourne, Vic 3001, Australia.
EM quentin.stevens@rmit.edu.au
RI ; DOVEY, Kim/L-3994-2016
OI Stevens, Quentin/0000-0002-0912-0426; DOVEY, Kim/0000-0003-2492-8607;
   Awepuga, Fauster Aleo/0000-0002-6482-6691
FU Australian Research Council [DP180102964]
FX This work was supported by the Australian Research Council
   [DP180102964].
CR Andres L, 2021, REG STUD, V55, P29, DOI 10.1080/00343404.2019.1665645
   Andres L, 2013, URBAN STUD, V50, P759, DOI 10.1177/0042098012455719
   [Anonymous], 2015, Announcing the PPS Lighter, Quicker, Cheaper Resource Page
   Bishop P., 2012, THE TEMPORARY CITY
   Bragaglia F, 2021, INT PLAN STUD, V26, P370, DOI 10.1080/13563475.2021.1882963
   Brenner N., 2015, Is"Tactical Urbanism" an Alternative to Neoliberal Urbanism?
   CDS and SPC = CoDesign Studio and Street Plans Collaborative, 2014, TACT URB, V4
   Douglas G.C. C., 2018, The Help-Yourself City: Legitimacy Inequality in DIY Urbanism
   DPMC = Department of Prime Minister and Cabinet, 2016, SMART CIT PLAN
   Fabian L., 2016, Journal of Urbanism: International Research on Placemaking and Urban Sustainability, V9, P166, DOI DOI 10.1080/17549175.2015.1056207
   Groth J, 2005, URBAN STUD, V42, P503, DOI 10.1080/00420980500035436
   Henneberry J, 2017, REAL ESTATE ISS, P1
   Hou Jeffrey., 2010, Insurgent Public Space: Guerrilla Urbanism and the Remaking of Contemporary Cities
   Iveson K, 2013, INT J URBAN REGIONAL, V37, P941, DOI 10.1111/1468-2427.12053
   Lydon MikeAnthony Garcia., 2015, TACTICAL URBANISM SH
   Madanipour A, 2017, CITIES IN TIME: TEMPORARY URBANISM AND THE FUTURE OF THE CITY, P1
   Mould O, 2014, GEOGR COMPASS, V8, P529, DOI 10.1111/gec3.12146
   Oswalt P., 2013, Urban Catalyst: The Power of Temporary Use
   PAGANO C, 2013, MARQUETTE LAW REV, V97, P335
   PIA = Planning Institute of Australia, 2016, NEW ER NAT CIT PLANN
   Stevens, 2020, CONVERSATION 0505
   Stevens, 2021, CONVERSATION 0504
   Stevens Q., 2019, PALGRAVE HDB BOTTOM, P323, DOI [DOI 10.1007/978-3-319-90131-2_20, 10.1007/978-3-319-90131-2_20]
   Stevens Q., 2020, TRANSFORMING CITIES, P13
   Stevens Q, 2018, ARCHNET-IJAR, V12, P90, DOI 10.26687/archnet-ijar.v12i3.1673
   Tonkiss Fran., 2013, City, V17, P312, DOI [10.1080/13604813.2013.795332, DOI 10.1080/13604813.2013.795332, https://doi.org/10.1080/13604813.2013.795332]
NR 26
TC 13
Z9 14
U1 9
U2 60
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0811-1146
EI 1476-7244
J9 URBAN POLICY RES
JI Urban Policy Res.
PD JUL 3
PY 2021
VL 39
IS 3
BP 262
EP 275
DI 10.1080/08111146.2021.1963225
EA AUG 2021
PG 14
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA WK2TL
UT WOS:000682844000001
DA 2025-04-22
ER

PT J
AU Lancaster, MR
   Callaghan, P
AF Lancaster, Molly Rose
   Callaghan, Patrick
TI The effect of exercise on resilience, its mediators and moderators, in a
   general population during the UK COVID-19 pandemic in 2020: a
   cross-sectional online study
SO BMC PUBLIC HEALTH
LA English
DT Article
DE Resilience; Exercise; Quality of life; Mental health; Sleep
ID QUALITY-OF-LIFE; PHYSICAL-ACTIVITY; MENTAL-HEALTH; SELF-ESTEEM; DISEASE;
   MEMORY; DISORDERS; OPTIMISM
AB Background Resilience is central to positive mental health and well-being especially when faced with adverse events. Factors such as exercise, location, sleep, mental health, and personality are moderators and mediators of resilience. However, the impact of these factors on resilience during severe adverse events are unknown. The present study examined how the COVID-19 pandemic affected resilience and its moderators and mediators by investigating whether there was a difference in resilience and quality of life between people with varying levels of exercise, including those who changed their exercise levels pre and during a COVID-19-related lockdown, and whether location affected the relationship between levels of exercise and resilience and quality of life. Methods Following ethical approval, a cross-sectional online survey capturing data on self-reported key moderators and mediators of resilience before and during the COVID-19 lockdown imposed on the 23rd March 2020 in the UK was distributed via social media and completed over a three week time period during July 2020 via a self-selecting sample of the general population (N = 85). The key moderators and mediators of resilience the survey assessed were exercise, location, life-orientation, mental health, and sleep quality. All data were self-reported. Results Participants' exercise intensity level increased as resilience increased (F(2,82) = 4.22, p = .003: Wilks' lambda = .82, partial n(2) = 0.09). The relationship between exercise, and resilience and quality of life was independent of sleep and mental health status pre-lockdown (p = .013, p = .027 respectively). In the face of the COVID-19 pandemic, this relationship was dependent on mental health but not sleep quality (p = p = .010 for quality of life). There were no statistically significant differences between participants living in urban or rural locations. Conclusion Exercise is strongly correlated to resilience and during a pandemic such as COVID-19 it becomes a mechanism in which to moderate resilience. The relationship between exercise and resilience is supported by this study. The influence that a pandemic had on mental health is mediated by its effect on quality of life.
C1 [Lancaster, Molly Rose] London Southbank Univ, Conducted Res, 103 Borough Rd, London SE1 0AA, England.
   [Callaghan, Patrick] London Southbank Univ, Mental Hlth Sci, 103 Borough Rd, London SE1 0AA, England.
   [Callaghan, Patrick] London Southbank Univ, Res, 103 Borough Rd, London SE1 0AA, England.
C3 London South Bank University; London South Bank University; London South
   Bank University
RP Lancaster, MR (corresponding author), London Southbank Univ, Conducted Res, 103 Borough Rd, London SE1 0AA, England.
EM Mollyrose.x.lancaster@gmail.com
OI Callaghan, Patrick/0000-0003-3175-5361
CR Armstrong EA, 2014, SOC PSYCHOL QUART, V77, P100, DOI 10.1177/0190272514521220
   Bacikova-Sleskova M, 2015, PSYCHOL HEALTH, V30, P400, DOI 10.1080/08870446.2014.976645
   Barr B, 2012, BMJ-BRIT MED J, V345, DOI 10.1136/bmj.e5142
   Blumenthal JA, 2005, JAMA-J AM MED ASSOC, V293, P1626, DOI 10.1001/jama.293.13.1626
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Booth M, 2000, Res Q Exerc Sport, V71 Suppl 2, P114, DOI 10.1080/02701367.2000.11082794
   BRETHERTON I, 1992, DEV PSYCHOL, V28, P759, DOI 10.1037/0012-1649.28.5.759
   Brown J, 2020, CORONAVIRUS LOCKDOWN
   Callaghan P, 2004, J Psychiatr Ment Health Nurs, V11, P476, DOI 10.1111/j.1365-2850.2004.00751.x
   Callaghan P, 2011, BMC PUBLIC HEALTH, V11, DOI 10.1186/1471-2458-11-465
   Campbell D., 2020, The Guardian
   Carter T, 2016, J PSYCHIATR MENT HLT, V23, P37, DOI 10.1111/jpm.12261
   Carter T, 2015, BMC PSYCHIATRY, V15, DOI 10.1186/s12888-015-0638-z
   Cash Thomas F, 2004, Body Image, V1, P279, DOI 10.1016/S1740-1445(03)00023-8
   Chang SS, 2013, BMJ-BRIT MED J, V347, DOI 10.1136/bmj.f5239
   Childs E, 2014, FRONT PHYSIOL, V5, DOI 10.3389/fphys.2014.00161
   CHRISTIANSON SA, 1991, COGNITION EMOTION, V5, P81, DOI 10.1080/02699939108411027
   Clark MH, 2010, LEARN INDIVID DIFFER, V20, P19, DOI 10.1016/j.lindif.2009.10.002
   Collins AL, 2005, J AGING HEALTH, V17, P471, DOI 10.1177/0898264305277965
   Connor KM, 2003, DEPRESS ANXIETY, V18, P76, DOI 10.1002/da.10113
   Craft Lynette L., 2004, Prim Care Companion J Clin Psychiatry, V6, P104
   Craig CL, 2003, MED SCI SPORT EXER, V35, P1381, DOI 10.1249/01.MSS.0000078924.61453.FB
   Çuhadar D, 2016, EUR J CANCER CARE, V25, P112, DOI 10.1111/ecc.12219
   Dalley SE, 2013, PERS INDIV DIFFER, V55, P465, DOI 10.1016/j.paid.2013.04.006
   DiLorenzo TM, 1999, PREV MED, V28, P75, DOI 10.1006/pmed.1998.0385
   Eichenbaum H, 2001, BEHAV BRAIN RES, V127, P199, DOI 10.1016/S0166-4328(01)00365-5
   Eicher M, 2015, ONCOL NURS FORUM, V42, pE3, DOI 10.1188/15.ONF.E3-E16
   Ellaway A, 2005, BMJ-BRIT MED J, V331, P611, DOI 10.1136/bmj.38575.664549.F7
   Fox KR, 1999, PUBLIC HEALTH NUTR, V2, P411, DOI 10.1017/S1368980099000567
   Garber MC, 2017, AM J PHARM EDUC, V81, DOI 10.5688/ajpe81350
   Goswami U, 2002, J EXP CHILD PSYCHOL, V82, P47, DOI 10.1006/jecp.2002.2673
   Gotay CC, 2004, PSYCHO-ONCOLOGY, V13, P882, DOI 10.1002/pon.808
   Harbaugh ErinRyan., 2010, The Elon Journal of Undergraduate research in Communications, V1, P70
   Harper A., 1996, WHOQOL BREF INTRO AD
   Herrman H, 2011, CAN J PSYCHIAT, V56, P258, DOI 10.1177/070674371105600504
   Ho FKW, 2015, BMC PEDIATR, V15, DOI 10.1186/s12887-015-0365-0
   Hosseini SA, 2010, PROCD SOC BEHV, V5, P633, DOI 10.1016/j.sbspro.2010.07.156
   Jacobsen PB, 2014, BIOL BLOOD MARROW TR, V20, P1530, DOI 10.1016/j.bbmt.2014.05.027
   Jessop E, 2019, ANN I SUPER SANITA, V55, P292, DOI 10.4415/ANN_19_03_16
   Kensinger EA, 2009, EMOT REV, V1, P99, DOI 10.1177/1754073908100432
   Kim Hae-Young, 2013, Restor Dent Endod, V38, P52, DOI 10.5395/rde.2013.38.1.52
   Lee PH, 2011, INT J BEHAV NUTR PHY, V8, DOI 10.1186/1479-5868-8-115
   Loke B, 1996, INT J GERIATR PSYCH, V11, P461, DOI 10.1002/(SICI)1099-1166(199605)11:5<461::AID-GPS336>3.3.CO;2-6
   Matzka M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154496
   Min JA, 2013, SUPPORT CARE CANCER, V21, P2469, DOI 10.1007/s00520-013-1807-6
   Morin C. M., 1993, INSOMNIA SEVERITY IN, P28
   Ower C, 2019, EUR ARCH PSY CLIN N, V269, P543, DOI 10.1007/s00406-018-0930-2
   Pavuluri M, 2015, AIMS NEUROSCI, V2, P18, DOI 10.3934/Neuroscience.2015.1.18
   Peen J, 2010, ACTA PSYCHIAT SCAND, V121, P84, DOI 10.1111/j.1600-0447.2009.01438.x
   Plante Thomas G, 2014, Int J Exerc Sci, V7, P220
   Ritvo P. G., MULTIPLE SCLEROSIS Q
   Rosenberg AR, 2015, CANCER-AM CANCER SOC, V121, P4250, DOI 10.1002/cncr.29651
   Ryan RM, 2000, AM PSYCHOL, V55, P68, DOI 10.1037/0003-066X.55.1.68
   Sahin M., 2018, SCI MOVEMENT HLTH, V18, P337
   Saklofske DH, 2007, J HEALTH PSYCHOL, V12, P937, DOI 10.1177/1359105307082458
   SCHEIER MF, 1994, J PERS SOC PSYCHOL, V67, P1063, DOI 10.1037/0022-3514.67.6.1063
   Schmitz N, 2004, PREV MED, V39, P1200, DOI 10.1016/j.ypmed.2004.04.034
   Schumacher A, 2014, SUPPORT CARE CANCER, V22, P487, DOI 10.1007/s00520-013-2001-6
   Schwartz CE, 2017, QUAL LIFE RES, V26, P3075, DOI 10.1007/s11136-017-1633-2
   Southwick SM, 2014, EUR J PSYCHOTRAUMATO, V5, DOI 10.3402/ejpt.v5.25338
   Squire LR, 2004, NEUROBIOL LEARN MEM, V82, P171, DOI 10.1016/j.nlm.2004.06.005
   Svantesson Ulla, 2015, J Clin Med Res, V7, P585, DOI 10.14740/jocmr2021w
   TULVING E, 1994, P NATL ACAD SCI USA, V91, P2016, DOI 10.1073/pnas.91.6.2016
   Turner D, 2017, BMJ OPEN, V7, DOI 10.1136/bmjopen-2017-016211
   van Breda AD, 2018, SOC WORK-MAATSK WERK, V54, P1
   Villicana AJ, 2018, GROUP PROCESS INTERG, V21, P962, DOI 10.1177/1368430217690907
   Wahlbeck K, 2012, WORLD PSYCHIATRY, V11, P139
   Avila MPW, 2018, J AGING PHYS ACTIV, V26, P248, DOI 10.1123/japa.2016-0332
NR 68
TC 18
Z9 20
U1 0
U2 27
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
EI 1471-2458
J9 BMC PUBLIC HEALTH
JI BMC Public Health
PD APR 25
PY 2022
VL 22
IS 1
AR 827
DI 10.1186/s12889-022-13070-7
PG 10
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA 0T9XJ
UT WOS:000787314300001
PM 35468747
OA gold, Green Accepted, Green Published
DA 2025-04-22
ER

PT J
AU Evenhuis, E
AF Evenhuis, Emil
TI New directions in researching regional economic resilience and
   adaptation
SO GEOGRAPHY COMPASS
LA English
DT Article
ID CRISIS; POLICY; SYSTEMS; CITIES; EUROPE; URBAN
AB The paper has two objectives. Firstly, to disentangle several debates with regard to regional economic resilience: What is it exactly? Which types can we distinguish? How can we operationalise it? And how can we conceptualise how it works? The second objective is to outline new directions for researching regional economic resilience. Thus far, research on regional economic resilience has been dominated by quantitative studies looking at how regional economies resisted and recovered from macro-economic downturns (especially the most recent one). I will argue that fruitful new directions are to be found in further developing evolutionary conceptions of regional economic resilience, especially in relation to structural changes in the wider economy. Such evolutionary conceptions do away with notions of equilibrium altogether and can thus encompass the complete transformation of regional economies. In terms of research focus, this entails homing in on the possible mechanisms through which the processes of reorganisation and reorientation take place within regional economies that undergo adaptation. And in terms of research methodology, this will require more research based on a comparative case study design, using a mix of quantitative and qualitative methods.
C1 [Evenhuis, Emil] Univ Cambridge, Dept Geog, Downing Site, Cambridge, England.
C3 University of Cambridge
RP Evenhuis, E (corresponding author), Univ Cambridge, Dept Geog, Downing Site, Cambridge, England.
EM ee293@cam.ac.uk
RI Evenhuis, Emil/J-4659-2019
OI Evenhuis, Emil/0000-0001-8473-245X
CR Acemoglu D, 2012, NEW YORK REV BOOKS, V59, P85
   [Anonymous], 2015, Assessing source credibility on social media-an electronic word-of-mouth communication perspective
   [Anonymous], 2017, Creating resilient economies: Entrepreneurship, growth and development in uncertain times
   Balland PA, 2015, CAMB J REG ECON SOC, V8, P167, DOI 10.1093/cjres/rsv007
   Beatty C, 2007, ENVIRON PLANN A, V39, P1654, DOI 10.1068/a38216
   Berger T., 2016, 193 OECD
   Billington MG, 2017, EUR PLAN STUD, V25, P425, DOI 10.1080/09654313.2016.1276886
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Briguglio L, 2009, OXF DEV STUD, V37, P229, DOI 10.1080/13600810903089893
   Bristow G, 2014, RAUMFORSCH RAUMORDN, V72, P93, DOI 10.1007/s13147-014-0280-0
   Bristow G, 2015, CAMB J REG ECON SOC, V8, P241, DOI 10.1093/cjres/rsv002
   Bristow G, 2014, REG STUD, V48, P923, DOI 10.1080/00343404.2013.854879
   Bristow G, 2010, CAMB J REG ECON SOC, V3, P153, DOI 10.1093/cjres/rsp030
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Burawoy M, 2009, EXTENDED CASE METHOD: FOUR COUNTRIES, FOUR DECADES, FOUR GREAT TRANSFORMATIONS, AND ONE THEORETICAL TRADITION, P1
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Clark Alan M., 2017, Rise of the Robots: Technology and the Threat of a Jobless Future
   Cooke P., 1989, LOCALITIES CHANGING
   Cowell M, 2015, ROUT RES PLAN URB, P1
   Cowell MM, 2013, CITIES, V30, P212, DOI 10.1016/j.cities.2012.04.001
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   D'Alisa Giacomo., 2014, DEGROWTH VOCABULARY
   Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940
   Davies S, 2011, CAMB J REG ECON SOC, V4, P369, DOI 10.1093/cjres/rsr019
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Dawley S, 2010, LOCAL ECON, V25, P650, DOI 10.1080/02690942.2010.533424
   Diodato D, 2015, J ECON GEOGR, V15, P723, DOI 10.1093/jeg/lbu030
   Doran J, 2014, PAP REG SCI, V93, DOI 10.1111/pirs.12048
   Eraydin A, 2016, CAMB J REG ECON SOC, V9, P217, DOI 10.1093/cjres/rsv026
   Eriksson RH, 2017, EUR URBAN REG STUD, V24, P87, DOI 10.1177/0969776415604016
   Evans R, 2014, EUR PLAN STUD, V22, P1259, DOI 10.1080/09654313.2013.778958
   Evenhuis E., 2017, Creating resilient economies, P192, DOI [10.4337/97817-85367649.00020, DOI 10.4337/97817-85367649.00020]
   EVENHUIS E, 2016, THESIS
   Feyrer J., 2007, BROOKINGS WHARTON PA, P41, DOI [10.1353/urb.2007.0005, DOI 10.1353/URB.2007.0005]
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Foster KA, 2012, URBAN AND REGIONAL POLICY AND ITS EFFECTS: BUILDING RESILIENT REGIONS, VOL 4, P24
   George Alexander L., 2005, Case Studies and Theory Development in the Social Sciences
   Gerring J, 2007, CASE STUDY RESEARCH: PRINCIPLES AND PRACTICES, P86
   Giannakis E., 2017, EUROPEAN PLANNING ST
   Giannakis E., 2015, PAPERS REGIONAL SCI
   Glaeser EL, 2005, J ECON GEOGR, V5, P119, DOI 10.1093/jnlecg/lbh058
   Grabher G, 1997, REG STUD, V31, P533, DOI 10.1080/00343409750132315
   Grabher G., 1993, EMBEDDED FIRM SOCIOE, P255
   Groot SPT, 2011, CAMB J REG ECON SOC, V4, P437, DOI 10.1093/cjres/rsr024
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hamm R., 1990, STRUKTURELLE ANPASSU
   Hassink R, 2010, HANDBOOK OF EVOLUTIONARY ECONOMIC GEOGRAPHY, P450
   Hausner V. A., 1987, EC CHANGE BRIT CITIE
   Hill E, 2012, URBAN AND REGIONAL POLICY AND ITS EFFECTS: BUILDING RESILIENT REGIONS, VOL 4, P193
   Hobor G., 2007, THESIS
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu X., 2015, PAPERS EVOLUTIONARY
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Huggins R, 2015, CAMB J REG ECON SOC, V8, P313, DOI 10.1093/cjres/rsu035
   Kakderi C, 2017, EUR PLAN STUD, V25, P1435, DOI 10.1080/09654313.2017.1322041
   Kitsos A., 2016, ANN REGIONAL SCI
   Lang T, 2012, RAUMFORSCH RAUMORDN, V70, P285, DOI 10.1007/s13147-012-0170-2
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Manca AR., 2017, 28548 EUR EN JOINT R
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Maru Y. T., 2010, 201004 CSIRO
   Miehe-Nordmeyer G., 2000, OKONOMISCHE ANPASSUN
   Modica M, 2015, NETW SPAT ECON, V15, P211, DOI 10.1007/s11067-014-9261-7
   Nystrom K., 2017, REGIONAL STUDIES
   Oliva S, 2017, EUR PLAN STUD, V25, P67, DOI 10.1080/09654313.2016.1260093
   Ormerod P, 2010, APPL ECON LETT, V17, P503, DOI 10.1080/13504850801964331
   Otto A, 2014, RAUMFORSCH RAUMORDN, V72, P133, DOI 10.1007/s13147-014-0285-8
   Pendall R, 2012, HOUS POLICY DEBATE, V22, P271, DOI 10.1080/10511482.2011.648208
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Polese M., 2010, 201003 U QUEB CTR UR
   Power A, 2010, PHOENIX CITIES: THE FALL AND RISE OF GREAT INDUSTRIAL CITIES, P1, DOI 10.1332/policypress/9781847426833.001.0001
   Ray DM, 2017, ENVIRON PLANN A, V49, P952, DOI 10.1177/0308518X16681788
   Rocchetta S., 2017, PAPERS EVOLUTIONARY
   Rodin Judith., 2015, The Resilience Dividend: Managing Disruption, Avoiding Disaster, and Growing Stronger in an Unpredictable World
   Rodrik Dani., 2003, SEARCH PROSPERITY
   Rose A., 2016, MEASURING EC RESILIE
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Safford Sean., 2009, Why the Garden Club Couldn't Save Youngstown: The Transformation of the Rust Belt
   Sayer A., 1992, METHOD SOCIAL SCI
   Scott M, 2013, GEOGR COMPASS, V7, P597, DOI 10.1111/gec3.12066
   Sedita SR, 2017, EUR PLAN STUD, V25, P155, DOI 10.1080/09654313.2016.1261804
   Sensier M, 2016, SPAT ECON ANAL, V11, P128, DOI 10.1080/17421772.2016.1129435
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   STILWELL FJB, 1969, URBAN STUD, V6, P162, DOI 10.1080/00420986920080241
   Swanstrom T, 2012, URBAN AND REGIONAL POLICY AND ITS EFFECTS: BUILDING RESILIENT REGIONS, VOL 4, P60
   Thieme T. A., 2017, REFLECTION RESILIENT
   Tilly C., 1984, BIG STRUCTURES LARGE
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Weir M., 2012, Urban and Regional Policy and Its Effects: Volume 4, V4
   Williams N., 2017, Creating resilient economies: Entrepreneurship, growth and development in uncertain times
   Wink R., 2015, WIRTSCHAFTLICHE RESI
   Wink Rudiger, 2016, MULTIDISZIPLINARE PE
   Wink R, 2014, RAUMFORSCH RAUMORDN, V72, P85, DOI 10.1007/s13147-013-0265-4
   Wink R, 2016, EUR PLAN STUD, V24, P463, DOI 10.1080/09654313.2015.1046370
   Yamamoto D, 2011, GEOGR COMPASS, V5, P723, DOI 10.1111/j.1749-8198.2011.00448.x
   Zimmermann C., 2013, IND CITIES HIST FUTU
   Zolli Andrew, 2012, Resilience
NR 101
TC 70
Z9 71
U1 4
U2 102
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1749-8198
J9 GEOGR COMPASS
JI Geogr. Compass
PD NOV
PY 2017
VL 11
IS 11
AR e12333
DI 10.1111/gec3.12333
PG 15
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA FL8QE
UT WOS:000414513800003
DA 2025-04-22
ER

PT J
AU Vuscan, S
   Muntean, R
AF Vuscan, Sonia
   Muntean, Radu
TI Building Conversion: Enhancing Sustainability Through Multifunctionality
   and Movable Interior Systems
SO SUSTAINABILITY
LA English
DT Article
DE building conversion; sustainability; multifunctionality; adaptability;
   urban regeneration; architectural transformation; creative repurposing
ID ADAPTIVE REUSE; INDUSTRIAL BUILDINGS; URBAN; REVITALIZATION;
   REDEVELOPMENT
AB As urban expansion faces increasing constraints, adaptive reuse has become a critical strategy for sustainable development. This study examines how multifunctionality and adaptability, facilitated by movable interior systems, can enhance the efficiency and longevity of building conversions while reducing material consumption and construction waste. Through a dual-questionnaire methodology, responses were gathered from over 200 end-users and 100 industry professionals across multiple countries to assess perceptions of adaptability in building reuse. The findings indicate that 89% of end-users prioritize spatial flexibility, while professionals cite financial constraints (67%) and regulatory barriers (54%) as key obstacles to implementation. This study highlights the potential of ADD-rest and similar reconfigurable interior systems to optimize underutilized spaces, aligning sustainability, urban resilience, and design innovation. By bridging theoretical concepts with empirical data, this research offers practical insights for architects, urban planners, and policymakers, reinforcing the role of adaptable interior solutions in the future of sustainable urban transformation.
C1 [Vuscan, Sonia] Shandong Univ Art & Design, Sch Ind Design, Jinan 250100, Peoples R China.
   [Muntean, Radu] Transilvania Univ Brasov, Fac Civil Engn, Brasov 500036, Romania.
C3 Shandong University of Art & Design; Transylvania University of Brasov
RP Muntean, R (corresponding author), Transilvania Univ Brasov, Fac Civil Engn, Brasov 500036, Romania.
EM sonia.vuscan@sdada.edu.cn; radu.m@unitbv.ro
CR ADD-Rest, ADD-Rest Homepage
   Addleson L., 1991, Performance of Material in Building
   Aigwi IE, 2018, INT J BUILD PATHOL, V36, P385, DOI 10.1108/IJBPA-01-2018-0007
   architecturaldigest, How Isabel Lopez-Quesada Transformed a Former Wax Factory Into an Elegant Madrid Villa
   Askar R, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11104483
   Aureli Pier Vittorio., 2015, Harvard Design Magazine, P132
   Benna C., Attici e Loft Negli Ex Uffici, Nel Centro Di Torino Sta Spuntando Un Nuovo Quartiere Residenziale
   Bottero M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030785
   Brand S., 1995, How Buildings Learn: What Happens After Theyre Built
   Bullen PA, 2007, FACILITIES, V25, P20, DOI 10.1108/02632770710716911
   bumblebeespaces, Bumblebee Spaces Homepage
   Camocini B., 2016, Adapting Reuse. Strategie Di Conversione duso Degli Interni e Di Rinnovamento Urbano
   Chan A, 2015, SUSTAIN CITIES SOC, V19, P184, DOI 10.1016/j.scs.2015.08.005
   Chung H., 2020, Kent Acad. Repos, V22, P399
   Clifford B., 2018, Assessing the impacts of extending permitted development rights to office-to-residential change of use in England
   Clifford B., 2019, Understanding the Impacts of Deregulation in Planning, P35
   Clifford B., 2020, Research into the Quality Standard of Homes Delivered Through Change of Use Permitted Development Rights
   Conejos S, 2013, HABITAT INT, V37, P95, DOI 10.1016/j.habitatint.2011.12.003
   Dauray H., How Parking Infrastructure Presents a Resilient Climate Opportunity
   Di Biase C., 2017, Conservation Adaptation. Keeping Alive the Spirit of the Place Adaptive Reuse of Heritage with Symbolic Value, P55
   Everett C., How the '15-Minute City' Will Transform Work
   Fianchini M., 2018, P 42 IAHS WORLD C HO, P1
   Gallent N, 2019, WHOSE HOUSING CRISIS?: ASSETS AND HOMES IN A CHANGING ECONOMY, P1
   Gann D.M., 1996, Constr. Manag. Econ, V14, P55, DOI [10.1080/01446199600000007, DOI 10.1080/01446199600000007]
   Gavu EK, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16072711
   Geraedts R.P., 2007, P ENHR INT C ROTT DE
   Ginelli E., 2016, P 41 IAHS WORLD C SU, P1
   Grammenos F., 1997, P BUILD ENV INT C PA, P19
   Guazzo G., 2003, Tecnica, Progetto e Scienze Umane
   hearthni.org, Riddel's Warehouse Project
   Heath T, 2001, CITIES, V18, P173, DOI 10.1016/S0264-2751(01)00009-9
   Huang YD, 2025, SUSTAINABILITY-BASEL, V17, DOI 10.3390/su17010072
   James D., 2006, Building Adaptation, V2nd ed.
   Kamara JM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166585
   Keene DE, 2023, J URBAN HEALTH, V100, P1102, DOI 10.1007/s11524-023-00799-8
   Kincaid David., 2003, Adapting Buildings for Changing Uses
   Kong Y, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16145834
   Langston C, 2008, BUILD ENVIRON, V43, P1709, DOI 10.1016/j.buildenv.2007.10.017
   Latham D., 2016, Creative Reuse of Buildings: Volume One
   Lee CCM, 2011, ARCHIT DESIGN, P14
   Loures L, 2007, WIT TRANS ECOL ENVIR, V102, P791, DOI 10.2495/SDP070752
   Lupacchini R., 2019, BDC Boll. Del Cent. Calza Bini, V19, P353
   Ma ZM, 2024, J BUILD ENG, V97, DOI 10.1016/j.jobe.2024.110989
   Madeddu M, 2023, PROG PLANN, V171, DOI 10.1016/j.progress.2022.100730
   Mesthrige JW, 2018, HABITAT INT, V73, P53, DOI 10.1016/j.habitatint.2017.12.005
   Micelli E, 2017, GREEN ENERGY TECHNOL, P115, DOI 10.1007/978-3-319-44899-2_8
   Moore R., "It's like an Open Prison": The Catastrophe of Converting Office Blocks to Homes
   Morris A., 2011, Departments to Apartments Converting Office Buildings to Residential
   Nutt B., 1976, OBSOLESCENCE HOUSING
   Olivadese R., 2016, Ph.D. Thesis
   Olivadese R, 2017, PROP MANAG, V35, P165, DOI 10.1108/PM-10-2015-0054
   oriliving, Ori Furniture Homepage
   Owojori OM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111646
   Petkovic-Grozdanovica N, 2016, PROCEDIA ENGINEER, V165, P1836, DOI 10.1016/j.proeng.2016.11.931
   Popa N, 2025, CITIES, V158, DOI 10.1016/j.cities.2025.105707
   Pratiwi Wiwik Dwi, 2023, Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022): Beyond Sustainability Through Design, Planning and Innovation. Lecture Notes in Civil Engineering (334), P439, DOI 10.1007/978-981-99-1403-6_29
   Remy H., 2007, P BSA 2007 C TOK JAP, P163
   Ren LP, 2014, INT J HOSP MANAG, V42, P32, DOI 10.1016/j.ijhm.2014.06.007
   Russillo F., 2016, Ph.D. Thesis
   Ryser J., 2020, disPPlan. Rev, V56, P125, DOI [10.1080/02513625.2020.1906066, DOI 10.1080/02513625.2020.1906066]
   Sanchez Benjamin, 2019, Environment Systems & Decisions, V39, P419, DOI 10.1007/s10669-019-09734-2
   Scolaro AM, 2021, ENERGIES, V14, DOI 10.3390/en14216863
   Scuderi Giuliana, 2019, Designs, V3, DOI 10.3390/designs3010003
   Shahi S, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102345
   Shen LY, 2010, FACILITIES, V28, P6, DOI 10.1108/02632771011011369
   Shipley R., 2006, International Journal of Heritage Studies, V12, P505, DOI [10.1080/13527250600940181, DOI 10.1080/13527250600940181]
   Spaceplus, Spaceplus Homepage
   SSDA-Servizio Studi Dipartimento Ambiente, Il Recupero e La Riqualificazione Energetica Del Patrimonio Edilizio: Una Stima Dell'impatto Delle Misure Di Incentivazione
   TCPA, 2020, The Wrong Answers to the Wrong Questions
   Vardopoulos I, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11157134
   Vuscan S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15075624
   Wall T., It Feels Almost like Prison': The Developers Building Homes with No Natural Light
   Wang CQ, 2024, ENG FRACT MECH, V312, DOI 10.1016/j.engfracmech.2024.110608
   Whitney H., New Homes: Extending into the Sky!
   Yung EHK, 2012, HABITAT INT, V36, P352, DOI 10.1016/j.habitatint.2011.11.001
   Zivkovic M, 2016, TEH VJESN, V23, P561, DOI 10.17559/TV-20140307161637
   Zukin Sharon., 1982, INT J URBAN REGIONAL, V6, P256, DOI DOI 10.1111/J.1468-2427.1982.TB00577.X
NR 77
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR 3
PY 2025
VL 17
IS 7
AR 3182
DI 10.3390/su17073182
PG 38
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 1IJ5K
UT WOS:001465743100001
OA gold
DA 2025-04-22
ER

PT J
AU Tidball, KG
   Metcalf, S
   Bain, M
   Elmqvist, T
AF Tidball, Keith G.
   Metcalf, Sara
   Bain, Mark
   Elmqvist, Thomas
TI Community-led reforestation: cultivating the potential of virtuous
   cycles to confer resilience in disaster disrupted social-ecological
   systems
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Disaster; Resilience; Virtuous cycles; Hurricane Katrina; New Orleans;
   Social-ecological systems
ID ECOSYSTEM SERVICES; INNER-CITY; URBAN; MANAGEMENT; ENVIRONMENT; CITIES;
   VULNERABILITY; MOTIVATIONS; LANDSCAPES; FEEDBACKS
AB Human relationships with trees can result in widespread citizen-led reforestation projects that catalyze social-biological-reinforcing feedback loops and set in motion virtuous cycles that restore perturbed social-ecological systems. These virtuous cycles confer resilience in such systems that counterbalance the tendency for vicious cycles to be triggered by destructive behavior and neglect. Given this argument, we ask: how do we cultivate the potential for virtuous cycles to confer resilience in social-ecological systems? To answer this question, we review feedback mechanisms and identify virtuous cycles catalyzed via ecological restoration to highlight their importance to the resilience of social-ecological systems. We then conceptualize these cycles with a causal map (also known as a causal loop diagram) illustrating an example where restoration activities and civic ecology practices contributed to feedbacks and virtuous cycles. Following from this example, we discuss approaches for recognizing and investing in virtuous cycles that accompany social-ecological systems and outline approaches for managing such cycles.
C1 [Tidball, Keith G.; Bain, Mark] Cornell Univ, Dept Nat Resources, Fernow Hall, Ithaca, NY 14853 USA.
   [Metcalf, Sara] SUNY Buffalo, Dept Geog, Buffalo, NY USA.
   [Elmqvist, Thomas] Stockholm Univ, Stockholm, Sweden.
   [Elmqvist, Thomas] Stockholm Resilience Ctr, Stockholm, Sweden.
C3 Cornell University; State University of New York (SUNY) System;
   University at Buffalo, SUNY; Stockholm University; Stockholm University
RP Tidball, KG (corresponding author), Cornell Univ, Dept Nat Resources, Fernow Hall, Ithaca, NY 14853 USA.
EM kgtidball@cornell.edu
RI Elmqvist, Thomas/AAY-6344-2021; Tidball, Keith/P-7229-2018; Metcalf,
   Sara/I-8593-2019
OI Elmqvist, Thomas/0000-0002-4617-6197
FU Community Forestry and Environmental Research Fellowships Program
FX The authors acknowledge helpful encouragement from Marianne Krasny,
   Richard Stedman, and Max Pfeffer. We appreciate assistance furnished by
   Jean Fahr of Parkway Partners in New Orleans, and by Monique Pilie of
   Hike for KaTREEna, also in New Orleans. We are grateful to the
   leadership of the Community Forestry and Environmental Research
   Fellowships Program for providing the initial funding for this work, in
   particular Louise Fortmann, Jill Belsky, Marla Emery, and Jonathan Long.
   We remember and honor the work and life of fellow author and friend Mark
   Bain (1955-2012).
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alberti Marina., 2008, ADV URBAN ECOLOGY IN, DOI [DOI 10.1007/978-0-387-75510-6, 10.1007/978-0-387-75510-6]
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Allison HE, 2004, ECOL SOC, V9
   Anderson Kit., 2004, Nature, Culture, and Big Old Trees
   [Anonymous], STAKE HOLDER ASSET B
   [Anonymous], WASHINGTON POST
   [Anonymous], 2003, Ecosystems and Human Well-being: A Framework for Assessment, P71
   [Anonymous], HARVARD ARCHITECT RE
   Austin MaureenE., 2003, IDENTITY NATURAL ENV, P205
   Balmford A, 2005, SCIENCE, V307, P212, DOI 10.1126/science.1106281
   Barab S., 2006, EDUC RESEARCHER, V35, P3, DOI 10.3102/0013189X035005003
   Barthel S, 2005, ECOL SOC, V10
   Barthel S, 2013, GREENING RED ZONE DI
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Beisner BE, 2003, FRONT ECOL ENVIRON, V1, P376, DOI 10.2307/3868190
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Bodin Ö, 2005, ENVIRON MANAGE, V35, P175, DOI 10.1007/s00267-004-0036-7
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bonabeau E., 1999, Swarm Intelligence: From Natural to Artificial Systems
   Borgström ST, 2006, ECOL SOC, V11
   Boyce NG, 2005, NEW ORLEANS LIVE OAK
   Branas CC, 2011, AM J EPIDEMIOL, V174, P1296, DOI 10.1093/aje/kwr273
   Brunsma D., 2007, The sociology of Katrina; perspectives on a modern catastrophe
   Butler CD, 2006, ECOL SOC, V11
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Campbell L, 2009, NRSP239 GTR USDA FOR
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carpenter S., 1999, CONSERV ECOL, V3, P4
   Carpenter SR, 2004, ECOL SOC, V9
   Carpenter SR, 2006, ECOL SOC, V11
   Chambers JQ, 2007, SCIENCE, V318, P1107, DOI 10.1126/science.1148913
   Chapin FS, 2004, AMBIO, V33, P344, DOI 10.1639/0044-7447(2004)033[0344:RAVONR]2.0.CO;2
   Chawla L., 2008, Participation and learning: perspectives on education and the environment, health and sustainability, P98
   Colding J, 2006, AMBIO, V35, P237, DOI 10.1579/05-A-098R.1
   Collins JP, 2000, AM SCI, V88, P416
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Costanza R, 2000, ECOSYSTEMS, V3, P4, DOI 10.1007/s100210000002
   Costanza R, 2002, ECOL MONOGR, V72, P203, DOI 10.1890/0012-9615(2002)072[0203:IEEMOT]2.0.CO;2
   Costanza R, 1996, ECOL APPL, V6, P978, DOI 10.2307/2269581
   Costanza R., 2001, Institutions, ecosystems, and sustainability
   Costanza Robert., 1997, INTRO ECOLOGICAL EC, DOI DOI 10.1201/B17829
   Cumming GS, 2005, ECOSYSTEMS, V8, P143, DOI 10.1007/s10021-004-0075-1
   Daniel B., 2003, Canadian Journal of Learning and Technology, V29, P113, DOI 10.21432/T21S4R
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   Deleuze G., 1994, Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, V32, P32, DOI 10.5860/choice.32-1461
   Elmqvist T, 2004, ANN NY ACAD SCI, V1023, P308, DOI 10.1196/annals.1319.017
   Elmqvist T., 2008, Encyclopedia of Ecology, Five-Volume Set, V5, P3665, DOI DOI 10.1016/14978-008045405-4.01H64-5
   Engestrom Y., 1987, Learning by expanding: An activity-theoretical approach to developmental research
   Erikson K, 1992, PSR Q, V2, P98
   Ernstson H, 2010, ECOL SOC, V15
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gallopin G., 2002, PANARCHY, P361
   Ganyard ST, 2009, NY TIMES
   Goudarzi S, 2006, NATL GEOGRAPHIC NEWS
   Grimm Nancy B., 2004, Urban Ecosystems, V7, P199, DOI 10.1023/B:UECO.0000044036.59953.a1
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   Groen JA, 2010, DEMOGRAPHY, V47, P821, DOI 10.1007/BF03214587
   Grove MorganJ., 2015, The Baltimore School of Urban Ecology: Space, Scale and Time for the Study of Cities
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hansen K, 2008, GRIST MAGAZINE
   Hidalgo CA, 2009, P NATL ACAD SCI USA, V106, P10570, DOI 10.1073/pnas.0900943106
   Holland J. H., 1995, Hidden Order: How Adaptation Builds Complexity
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Hull R.Bruce., 1992, J ARBORICULT, V18, P98
   Jackson JBC, 2001, SCIENCE, V293, P629, DOI 10.1126/science.1059199
   Jamison A., 1989, MAKING NEW ENV CONSC
   Janssen M.A., 1999, CONSERV ECOL, V3, P15, DOI [10.5751/ES-00145-030215, DOI 10.5751/ES-00145-030215]
   Janssen MA, 2000, ECOL MODEL, V131, P249, DOI 10.1016/S0304-3800(00)00256-8
   Janssen MA, 2003, CURR ANTHROPOL, V44, P722, DOI 10.1086/379261
   Karaboga D, 2009, ARTIF INTELL REV, V31, P61, DOI 10.1007/s10462-009-9127-4
   Kearns E, 2006, AM FORESTS MAGAZINE
   Kellert S.R., 1993, The Biophilia Hypothesis
   Krasny M.E., 2010, Journal of Extension, V48
   Krasny Marianne., 2014, Civic Ecology: Adaptation and Transformation from the Ground Up
   Krasny ME, 2014, LANDSCAPE URBAN PLAN, V132, P16, DOI 10.1016/j.landurbplan.2014.08.003
   Krasny ME, 2012, FRONT ECOL ENVIRON, V10, P267, DOI 10.1890/110230
   Kuo FE, 2001, ENVIRON BEHAV, V33, P343, DOI 10.1177/00139160121973025
   Kuo FE, 1998, ENVIRON BEHAV, V30, P28, DOI 10.1177/0013916598301002
   Lawrence D, 2007, P NATL ACAD SCI USA, V104, P20696, DOI 10.1073/pnas.0705005104
   Levin S, 1999, Fragile Dominion: Complexity and the Commons
   Levin SA, 2005, BIOSCIENCE, V55, P1075, DOI 10.1641/0006-3568(2005)055[1075:SATEOC]2.0.CO;2
   Longstaff P.H., 2005, Security, resilience, and communication in unpredictable environments such as terrorism, natural disasters, and complex technology
   Louv R., 2008, Last child in the woods: saving our children from nature-deficit disorder
   Lyytimäki J, 2009, URBAN FOR URBAN GREE, V8, P309, DOI 10.1016/j.ufug.2009.09.003
   Maguire S, 2004, ACAD MANAGE J, V47, P657, DOI [10.2307/20159610, 10.5465/20159610]
   Masten AS, 2008, ECOL SOC, V13
   Matthews R, 2006, J AGR ECON, V57, P199, DOI 10.1111/j.1477-9552.2006.00047.x
   May RM, 2008, NATURE, V451, P893, DOI 10.1038/451893a
   McIntyre NE., 2000, URBAN ECOSYST, V4, P5, DOI DOI 10.1007/978-0-387-73412-54
   MELUCCI A, 1992, DEV CHANGE, V23, P43, DOI 10.1111/j.1467-7660.1992.tb00456.x
   Miles I., 1998, URBAN ECOSYST, V2, P27, DOI DOI 10.1023/A:1009501515335
   Moore ML, 2011, ECOL SOC, V16
   Mornick M, 2010, TREME NEW ORLEANS UR
   Niemelä J, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P1
   Nowak DJ, 2012, URBAN FOR URBAN GREE, V11, P21, DOI 10.1016/j.ufug.2011.11.005
   Nykvist B, 2014, ECOL SOC, V19, DOI 10.5751/ES-06167-190247
   Olson M, 1965, LOGIC COLLECTIVE ACT
   PICKETT STA, 1993, HUMANS AS COMPONENTS OF ECOSYSTEMS, P310
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Powell J., 2002, Planning Practice & Research, V17, P279, DOI 10.1080/026974502200005643
   Ranara J, 2011, MAPPING SOCIAL ECOLO
   Richardson GP, 1986, SYST DYNAM REV, V2, P158, DOI 10.1002/sdr.4260020207
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rogers E. M, 1995, Diffusion of Innovations, Vfourth
   Rosenfeld D, 2001, P NATL ACAD SCI USA, V98, P5975, DOI 10.1073/pnas.101122798
   Rozario K, 2005, RESILIENT CITY MODER, P392
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Selman P.H., 2006, PLANNING LANDSCAPE S
   Sheikh PA, 2006, RL33117 CRS
   Sunda WG, 2006, J PHYCOL, V42, P963, DOI 10.1111/j.1529-8817.2006.00261.x
   Suutari A., 2007, Earth Island Journal, V22, P26
   Svendsen ES, 2014, AM J PUBLIC HEALTH, V104, P581, DOI 10.2105/AJPH.2013.301848
   TEEB, 2010, The economics of ecosystems and biodiversity ecological and economic foundations
   TEEB Synthesis, 2010, The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A Synthesis of the Approach, Conclusions and Recommendations of TEEB
   Tidball K., 2013, Greening in the red zone: Disaster, resilience and community greening
   Tidball K.G., 2007, SOCIAL LEARNING SUST, P149, DOI DOI 10.3920/978-90-8686-594-9
   Tidball K, 2013, ECOL ECON, V86, P292, DOI 10.1016/j.ecolecon.2012.10.004
   Tidball KG, 2014, ECOL SOC, V19, DOI 10.5751/ES-06903-190425
   Tidball KG, 2011, J INTERV STATEBUILD, V5, P369, DOI 10.1080/17502977.2011.625787
   Tidball KG, 2011, ECOSPHERE, V2, DOI 10.1890/ES10-00153.1
   Tidball KG, 2012, ECOL SOC, V17, DOI 10.5751/ES-04596-170205
   Tidball KG, 2010, ENVIRON EDUC RES, V16, P591, DOI 10.1080/13504622.2010.505437
   Tidball KG, FRONT PSYCHOL
   Tidball KG, 2008, TREES REBIRTH URBAN
   Tidball KG, 2008, RAISING RESILIENCE U
   Tidball KG, 2009, AM ANTHR ASS ANN M P
   Tidball KG., 2010, Cities and the Environment, V3, DOI [10.15365/cate.31112010, DOI 10.15365/CATE.31112010]
   Tidball KG, 2012, THESIS
   UDEHN L, 1993, ACTA SOCIOL, V36, P239, DOI 10.1177/000169939303600307
   United States, 2006, FED RESP HURR KATR L
   van der Heide T, 2007, ECOSYSTEMS, V10, P1311, DOI 10.1007/s10021-007-9099-7
   Varis O, 1999, AMBIO, V28, P599
   Walker B., 2004, Ecology and Society, V9, P5
   Waugh W.L., 2006, Shelter from the storm: Repairing the national emergency management system after Hurricane Katrina
   Weinstein E, 2007, J INTERV STATEBUILD, V1, P67, DOI 10.1080/17502970601075923
   Westrum R, 2006, 2 S RES ENG JUAN PIN
   Wilson E.O., 1984, P1
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wolf Kathleen L., 2003, Journal of Arboriculture, V29, P117
   Wolf KL, 2008, CITY 21ST CENTURY, P294
   Yli-Pelkonen V, 2005, BIODIVERS CONSERV, V14, P1947, DOI 10.1007/s10531-004-2124-7
   Zia A, 2014, J ENVIRON PSYCHOL, V40, P283, DOI 10.1016/j.jenvp.2014.08.001
NR 148
TC 21
Z9 23
U1 2
U2 39
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD MAY
PY 2018
VL 13
IS 3
BP 797
EP 813
DI 10.1007/s11625-017-0506-5
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA GE2NH
UT WOS:000431051400016
DA 2025-04-22
ER

PT J
AU White, MG
   Zeunert, J
   Haeusler, MH
AF White, Michael G.
   Zeunert, Joshua
   Haeusler, M. Hank
TI Biodiversity and species richness in planned urban landscapes: a method
   for data extraction from development proposals in Sydney, Australia
SO LANDSCAPE RESEARCH
LA English
DT Article; Early Access
DE Urban vegetation; landscape architecture; urban biodiversity; digital
   landscape architecture; GIS
ID RESTORATION; FLORA
AB Benefits of biodiversity and structural planting complexity within urban vegetation include the creation of habitat and increased climate resilience, as well as positive impacts on human health and wellbeing. Limited data exists on plant composition in urban environments, with a need for new methods to assist in the improvement of datasets and the creation of diverse landscapes. This paper analyses plant lists included with development proposals exhibited in the period 2016-2022 to determine species richness and taxonomic diversity, normalised to site area and compared to State Vegetation Type Map data. While the compiled dataset includes over 1200 species, there is minimal correlation with pre-clearing vegetation communities. This research provides methodological proof of concept that may be used to evaluate proposed plantings during development application processes. Outcomes demonstrate the potential for digital tools to help assess and advance biodiversity and planting policy to increase vegetative complexity in urban landscapes.
C1 [White, Michael G.; Zeunert, Joshua; Haeusler, M. Hank] Univ New South Wales, Fac Arts Design & Architecture, Sydney, Australia.
C3 University of New South Wales Sydney
RP White, MG (corresponding author), Univ New South Wales, Fac Arts Design & Architecture, Sydney, Australia.
EM mick.g.white@gmail.com
CR Alizadeh B, 2019, INT J CLIM CHANG STR, V11, P178, DOI 10.1108/IJCCSM-10-2017-0179
   Allan E, 2011, P NATL ACAD SCI USA, V108, P17034, DOI 10.1073/pnas.1104015108
   [Anonymous], 1995, Taken for granted: The bushland of Sydney and its suburbs
   Arnoldi M, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127254
   Benson Doug, 2009, Cunninghamia, V11, P195
   Berthon K, 2021, LANDSCAPE URBAN PLAN, V205, DOI 10.1016/j.landurbplan.2020.103959
   BioNet, BioNet Archive Plant Community Type data pre C1.1
   [Brondizio E.S. IPBES IPBES], 2019, IPBES secretariat, P1144
   Burley H, 2019, SCI TOTAL ENVIRON, V685, P451, DOI 10.1016/j.scitotenv.2019.05.287
   Cameron R., 2016, Environmental horticulture: Science and management of green landscapes
   Ceballos G, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400253
   City of Sydney, 2016, Landscape code
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   Downton P., 2017, KnE Engineering, V9, P59, DOI [10.18502/keg.v2i2.596, DOI 10.18502/KEG.V2I2.596]
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   Gunnarsson B, 2017, URBAN ECOSYST, V20, P37, DOI 10.1007/s11252-016-0581-x
   Haines-Young R., 2010, Ecosystem Ecology: A New Synthesis. BES Ecological Reviews Series, P110, DOI [10.1017/cbo9780511750458.007, DOI 10.1017/CBO9780511750458.007, 10.1017/CBO9780511750458.007]
   Hitchmough J, 2011, LANDSCAPE URBAN PLAN, V100, P380, DOI 10.1016/j.landurbplan.2011.02.017
   Hughes L, 2003, AUSTRAL ECOL, V28, P423, DOI 10.1046/j.1442-9993.2003.01300.x
   Ignatieva M., 2010, Urban Biodiversity and Design, P118, DOI [10.1002/9781444318654.ch6, DOI 10.1002/9781444318654.CH6]
   King SA, 2000, AUSTRAL ECOL, V25, P455, DOI 10.1046/j.1442-9993.2000.01085.x
   Le Roux DS, 2014, LANDSCAPE URBAN PLAN, V125, P57, DOI 10.1016/j.landurbplan.2014.01.015
   Loram A, 2008, J VEG SCI, V19, P321, DOI 10.3170/2008-8-18373
   Meyer-Grandbastien A, 2020, LANDSCAPE URBAN PLAN, V195, DOI 10.1016/j.landurbplan.2019.103728
   Mller N., 2010, Urban biodiversity and design, V1st ed.
   Pavao-Zuckerman MA, 2008, RESTOR ECOL, V16, P642, DOI 10.1111/j.1526-100X.2008.00486.x
   Rastandeh A, 2018, LANDSCAPE RES, V43, P708, DOI 10.1080/01426397.2017.1315063
   Rayner JP, 2016, ACTA HORTIC, V1108, P221, DOI 10.17660/ActaHortic.2016.1108.28
   Schebella MF, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030802
   Smith RM, 2006, BIOL CONSERV, V129, P312, DOI 10.1016/j.biocon.2005.10.045
   Stevenson K, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12101970
   Tan HA, 2022, URBAN ECOSYST, V25, P733, DOI 10.1007/s11252-021-01188-2
   Threlfall CG, 2016, FRONT ECOL EVOL, V4, DOI 10.3389/fevo.2016.00066
   Threlfall CG, 2017, J APPL ECOL, V54, P1874, DOI 10.1111/1365-2664.12876
   World Flora Online, ABOUT US
   Zeunert J, 2013, LANDSC J, V32, P231, DOI 10.3368/lj.32.2.231
NR 36
TC 0
Z9 0
U1 2
U2 2
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0142-6397
EI 1469-9710
J9 LANDSCAPE RES
JI Landsc. Res.
PD 2025 MAR 12
PY 2025
DI 10.1080/01426397.2025.2462224
EA MAR 2025
PG 16
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 0JX6U
UT WOS:001449142000001
OA hybrid
DA 2025-04-22
ER

PT J
AU Shrestha, S
   Aihara, Y
   Bhattarai, AP
   Bista, N
   Kondo, N
   Futaba, K
   Nishida, K
   Shindo, J
AF Shrestha, Sadhana
   Aihara, Yoko
   Bhattarai, Arun P.
   Bista, Niranjan
   Kondo, Naoki
   Futaba, Kazama
   Nishida, Kei
   Shindo, Junko
TI Urban household water resilience and source selection in Nepal pre- and
   post-disaster
SO JOURNAL OF WATER SANITATION AND HYGIENE FOR DEVELOPMENT
LA English
DT Article
DE adaptive strategies; earthquake; household; multiple water sources use;
   natural disaster; water security
ID KATHMANDU VALLEY; COMMUNITIES
AB Urban areas in low- and middle-income countries are under chronic water stress, and multiple water source use (MWSU) is common. A detailed study on MWSU is necessary for strengthening water security and enhancing household water resilience to natural disasters which is defined as the ability of a household water system that is exposed to a disaster to resist, accommodate, and recover efficiently in a short time. Surveys were conducted in the Kathmandu Valley, Nepal, before and after the 2015 Gorkha earthquake. A classification of resilient and non-resilient households was based on respondents' perception scores of their water systems before the earthquake and one month after. Around 80% of households used two to three water sources, and 70% of households were classified as water resilient. Three characteristics of a water resilient household were: (i) use of greater number of water sources, (ii) use of multiple reliable water sources such as piped water, groundwater, and (iii) use of effective adaptive strategies such as water storage in a bigger container. Since the study showed the practice of MWSU enhanced the resilience, protection and management of local water sources (well, spring, stone spouts) by initiatives of local government or communities or both is recommended.
C1 [Shrestha, Sadhana; Futaba, Kazama; Nishida, Kei; Shindo, Junko] Univ Yamanashi, Interdisciplinary Ctr River Basin Environm, 4-3-11 Takeda, Kofu, Yamanashi 8511, Japan.
   [Aihara, Yoko] Kobe Gakuin Univ, Kobe, Hyogo, Japan.
   [Bhattarai, Arun P.; Bista, Niranjan] Small Earth Nepal, Kathmandu, Nepal.
   [Kondo, Naoki] Univ Tokyo, Sch Publ Hlth, Tokyo, Japan.
C3 University of Yamanashi; Kobe Gakuin University; University of Tokyo
RP Shrestha, S (corresponding author), Univ Yamanashi, Interdisciplinary Ctr River Basin Environm, 4-3-11 Takeda, Kofu, Yamanashi 8511, Japan.
EM shrestha@yamanashi.ac.jp
RI Kondo, Naoki/K-3898-2012
OI Shrestha, Sadhana/0000-0003-0468-4350
FU Japan International Cooperation Agency; Japan Science and Technology
   Agency
FX We express our sincere gratitude to the Science and Technology Research
   Partnership for Sustainable Development Program (SATREPS) project, led
   by Professor Futaba Kazama of University of Yamanashi, co-funded by
   Japan International Cooperation Agency and Japan Science and Technology
   Agency. We are grateful to The Small Earth Nepal (SEN) for carrying out
   the survey smoothly and on time. Lastly, we appreciate the interviewers
   for their hard work and the participants for providing their valuable
   time and information.
CR Aihara Y., 2014, Kokusai Hoken Iryo (Journal of International Health), V29, P69, DOI [10.11197/jaih.29.69, DOI 10.11197/JAIH.29.69]
   Aihara Y, 2018, WATER POLICY, V20, P1013, DOI 10.2166/wp.2018.117
   Aihara Y, 2015, WATER POLICY, V17, P1019, DOI 10.2166/wp.2015.116
   [Anonymous], 2015, Nepal Earthquake 2015: Nepal Earthquake Post Disaster Needs Assessment-Executive Summary
   CBS, 2011, RASTR JAN KO PRAR NA
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Dilley M, 2005, DISAST RISK MANAGE, P1
   Elliott M, 2019, NPJ CLEAN WATER, V2, DOI 10.1038/s41545-019-0031-4
   Elliott M, 2017, WATER RESOUR RES, V53, P9106, DOI 10.1002/2017WR021047
   EPA, 2018, EARTHQ RES GUID WAT
   Evans B., 2013, PUBLIC HLTH SOCIAL B
   Foster T, 2018, INT J ENVIRON HEAL R, V28, P579, DOI 10.1080/09603123.2018.1491953
   Guragai B, 2017, SCI TOTAL ENVIRON, V599, P431, DOI 10.1016/j.scitotenv.2017.04.182
   Howard G, 2002, INT J ENVIRON HEAL R, V12, P63, DOI 10.1080/09603120120110068
   Howard G, 2010, J WATER CLIM CHANGE, V1, P2, DOI 10.2166/wcc.2010.205
   KUKL, 2015, ANN REP COND OP SERV
   Mostafavi A, 2018, NAT HAZARDS REV, V19, DOI [10.1061/(ASCE)NH.1527-6996.0000263, 10.1061/(asce)nh.1527-6996.0000263]
   Nazarnia H., 2015, TRANSFORMING FUTURE, P627
   Nguyen KV, 2013, ECOL SOC, V18, DOI 10.5751/ES-05427-180313
   Özdemir S, 2011, J WATER SANIT HYG DE, V1, P171, DOI 10.2166/washdev.2011.024
   Pattanayak SK, 2005, WATER RESOUR RES, V41, DOI 10.1029/200WR002443
   Shrestha S, 2017, WATER-SUI, V9, DOI 10.3390/w9030222
   Shrestha S, 2015, J WATER HEALTH, V13, P259, DOI 10.2166/wh.2014.036
   Tucker J., 2014, WATER RESOURCES RURA, V3, P27, DOI [DOI 10.1016/J.WRR.2014.04.001, 10.1016/j.wrr.2014.04.001]
   United Nations Office for Disaster Risk Reduction, 2009, UNISDR TERM DIS RISK
   Wallace CD, 2015, J AM WATER RESOUR AS, V51, P185, DOI 10.1111/jawr.12244
   Yoden K., 2012, KATHMANDU VALLEY GRO, P21
NR 27
TC 3
Z9 3
U1 2
U2 10
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 2043-9083
J9 J WATER SANIT HYG DE
JI J. Wate Sanit. Hyg. Dev.
PD SEP
PY 2020
VL 10
IS 3
BP 435
EP 446
DI 10.2166/washdev.2020.042
PG 12
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA NY3IF
UT WOS:000576287000005
OA gold
DA 2025-04-22
ER

PT J
AU Therrien, MC
   Rueda, GM
   Normandin, JM
   Veillette, S
   Chelihi, M
   Arnaud, J
AF Therrien, Marie-Christine
   Manrique Rueda, Gabriela
   Normandin, Julie-Maude
   Veillette, Sandrine
   Chelihi, Morgan
   Arnaud, Joris
TI The common operating picture as a collaborative governance tool for
   urban resilience
SO JOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT
LA English
DT Article
DE collaborative governance; common operating picture; resilience
ID INTERORGANIZATIONAL COORDINATION; ORGANIZATIONS; MANAGEMENT
AB Through analysis of the narratives of participants to the London Common Operating Picture (COP), this study discusses the "information warehouse" and the "trading zone" theoretical perspectives on the COP that consider it, respectively, as an information system to share common information on a crisis or as a relational space of learning in which common meanings enable decision-making and coordination. The trading zone approach has started to examine its role as a coordination tool, but there is little empirical research on how it can foster network's collaboration. Through an exploration of the COP participants' positions as boundary spanners, this study puts forward the trading zone perspective, showing that in London it has become a regular mechanism of collaboration and coordination. It argues that boundary spanners operate at multiple boundaries that enable network's collaboration and coordination, and the relational character of the COP create bonds of trust that foster collaboration and common understandings on the role of communication, collaboration, information sharing, and coordination for the security of all. We show that the COP is a relational space that creates a sense of belonging to a common community of security that believes in the role of networks' information sharing and collaboration for urban resilience.
C1 [Therrien, Marie-Christine; Manrique Rueda, Gabriela; Normandin, Julie-Maude; Veillette, Sandrine; Chelihi, Morgan; Arnaud, Joris] Ecole Natl Adm Publ, 4750 Ave Henri Julien,5e Etage, Montreal, PQ H2T 3E5, Canada.
C3 University of Quebec; Ecole National Administration Publique Canada
RP Therrien, MC (corresponding author), Ecole Natl Adm Publ, 4750 Ave Henri Julien,5e Etage, Montreal, PQ H2T 3E5, Canada.
EM marie-christine.therrien@enap.ca
FU Ecole nationale d'administration publique
FX Ecole nationale d'administration publique
CR Aradau C., 2017, ROUTLEDGE HDB INT RE, P79
   Ayres L., 2008, SAGE ENCY QUALITATIV
   Benaquisto L., 2008, The SAGE Encyclopedia of Qualitative Research Methods, DOI 10.4135/9781412963909
   Bharosa N, 2010, INFORM SYST FRONT, V12, P49, DOI 10.1007/s10796-009-9174-z
   Boersma K, 2012, J HOMEL SECUR EMERG, V9, DOI 10.1515/1547-7355.1965
   Bunker D, 2015, INFORM SYST FRONT, V17, P51, DOI 10.1007/s10796-014-9515-4
   Burt R., 1992, STRUCTURAL HOLES SOC
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Comfort LK, 2007, PUBLIC ADMIN REV, V67, P189, DOI 10.1111/j.1540-6210.2007.00827.x
   Comfort LK, 2006, NAT HAZARDS, V39, P309, DOI 10.1007/s11069-006-0030-x
   Copeland J., 2008, Emergency response: Unity of effort through a common operational picture
   Galison P. L., 1997, IMAGE LOGIC MAT CULT
   Haas A, 2015, J KNOWL MANAG, V19, P1029, DOI 10.1108/JKM-01-2015-0036
   Hossain L, 2011, J DECIS SYST, V20, P383, DOI 10.3166/JDS.20.383-396
   Hossain L, 2010, DISASTERS, V34, P755, DOI 10.1111/j.1467-7717.2010.01168.x
   Hsiao RL, 2012, J MANAGE STUD, V49, P463, DOI 10.1111/j.1467-6486.2011.01024.x
   Ingeborgrud L, 2018, FUTURES, V96, P57, DOI 10.1016/j.futures.2017.11.006
   Joseph J, 2013, POLITICS-OXFORD, V33, P253, DOI 10.1111/1467-9256.12010
   Kapucu N, 2010, DISASTER PREV MANAG, V19, P452, DOI 10.1108/09653561011070376
   Karagiannis GM, 2016, SPRINGER P MATH STAT, V185, P91, DOI 10.1007/978-3-319-43709-5_6
   Kellogg KC, 2006, ORGAN SCI, V17, P22, DOI 10.1287/orsc.1050.0157
   Leedom D.K., 2003, P 8 ANN INT COMM CON
   Luokkala P, 2017, SAFETY SCI, V93, P277, DOI 10.1016/j.ssci.2016.11.005
   Matusitz J., 2007, International Journal of Strategic Communication, V1, P169, DOI DOI 10.1080/15531180701434801
   McNeese M. D., 2006, P HUM FACT ERG SOC A
   Moynihan DP, 2009, J PUBL ADM RES THEOR, V19, P895, DOI 10.1093/jopart/mun033
   Odlund A., 2010, Journal of Contingencies and Crisis Management, V18, P96
   Olausson PM, 2017, J CONTING CRISIS MAN, V25, P313, DOI 10.1111/1468-5973.12159
   Polkinghorne D.E., 1989, EXISTENTIAL PHENOMEN, P41, DOI [10.4135/9781412995658, DOI 10.1007/978-1-4615-6989-3_3]
   Spak U., 2017, 22 INT COMM CONTR RE
   Tatham P, 2017, DISASTERS, V41, P77, DOI 10.1111/disa.12193
   Therrien M.-C., 2010, Telescope, V16, P154
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   Trompette P, 2009, REV ANTHROPOL CONNAI, V3, P5, DOI 10.3917/rac.006.0005
   Uddin S., 2009, COORDINATION PREPARE
   Van Manen M., 2008, SAGE ENCY QUALITATIV
   Vaughan D, 1999, ANNU REV SOCIOL, V25, P271, DOI 10.1146/annurev.soc.25.1.271
   WEICK KE, 1993, ADMIN SCI QUART, V38, P628, DOI 10.2307/2393339
   Williams P, 2002, PUBLIC ADMIN, V80, P103, DOI 10.1111/1467-9299.00296
   Wimelius ME, 2015, J CONTING CRISIS MAN, V23, P129, DOI 10.1111/1468-5973.12048
   Wolbers J, 2013, J CONTING CRISIS MAN, V21, P186, DOI 10.1111/1468-5973.12027
NR 41
TC 1
Z9 1
U1 3
U2 27
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0966-0879
EI 1468-5973
J9 J CONTING CRISIS MAN
JI J. Cont. Crisis Manag.
PD MAR
PY 2024
VL 32
IS 1
DI 10.1111/1468-5973.12500
EA SEP 2023
PG 11
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA FF1U6
UT WOS:001057822900001
OA hybrid
DA 2025-04-22
ER

PT J
AU Westman, L
   Broto, VC
AF Westman, Linda
   Castan Broto, Vanesa
TI Urban Transformations to Keep All the Same: The Power of Ivy Discourses
SO ANTIPODE
LA English
DT Article
DE urban transformations; urban sustainability; discourse; radical theory;
   cities
ID SUSTAINABILITY TRANSITIONS; FEMINIST-THEORY; RESILIENCE; POLITICS;
   SCIENCE; CITY; COLONIALITY; SOCIOLOGY; COMMUNITY; DYNAMICS
AB The concept of urban transformations has gathered interest among scholars and policymakers calling for radical change towards sustainability. The discourse represents an entry point to address systemic causes of ecological degradation and social injustice, thereby providing solutions to intractable global challenges. Yet, so far, urban transformations projects have fallen short of delivering significant action in cities. The limited ability of this discourse to enable change is, in our view, linked with a broader dynamic that threatens progressive commitments to knowledge pluralism. There are discourses that, cloaked in emancipatory terminology, prevent the flourishing of radical ideas. The ivy is a metaphor to understand how such discourses operate. Ivy discourses grow from a radical foundation, but they do so while reproducing assumptions and values of mainstream discourses. We are concerned that urban transformations functions as an ivy discourse, which reproduces rather than challenges knowledge systems and relations that sustain hegemony.
C1 [Westman, Linda; Castan Broto, Vanesa] Univ Sheffield, Urban Inst, Sheffield, S Yorkshire, England.
C3 University of Sheffield
RP Westman, L (corresponding author), Univ Sheffield, Urban Inst, Sheffield, S Yorkshire, England.
EM linda.westman@sheffield.ac.uk; v.castanbroto@sheffield.ac.uk
RI Broto, Vanesa/AAF-4485-2021
OI Castan Broto, Vanesa/0000-0002-3175-9859; Westman,
   Linda/0000-0003-4599-4996
FU European Research Council (ERC) under the European Union [804051];
   European Research Council (ERC) [804051] Funding Source: European
   Research Council (ERC)
FX The project leading to this publication (LOACT) received funding from
   the European Research Council (ERC) under the European Union's Horizon
   2020 research and innovation programme, grant agreement no. 804051.
CR Abson DJ, 2017, AMBIO, V46, P30, DOI 10.1007/s13280-016-0800-y
   Agyeman J, 2016, ANNU REV ENV RESOUR, V41, P321, DOI 10.1146/annurev-environ-110615-090052
   Ajl M., 2015, IMPLOSIONS EXPLOSIO, P533
   Amin Samir., 2010, Ending the Crisis of Capitalism or Ending Capitalism
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   [Anonymous], 2014, BUILD ENVIRON, DOI DOI 10.2148/BENV.40.4.497
   Apgar MJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07314-200145
   Bijker W. E., 1989, SOCIAL CONSTRUCTION, DOI DOI 10.1177/030631289019001010
   Block T, 2013, J CLEAN PROD, V50, P181, DOI 10.1016/j.jclepro.2012.11.021
   Bluwstein J, 2021, POLIT GEOGR, V90, DOI 10.1016/j.polgeo.2021.102450
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Broto V.C., 2019, Urban Sustainability and Justice: Just Sustainabilities and Environmental Planning
   Broto VC, 2019, AMBIO, V48, P449, DOI 10.1007/s13280-018-1086-z
   Broto VC, 2013, ANTIPODE, V45, P621, DOI 10.1111/j.1467-8330.2012.01059.x
   Brown T, 2016, ANTIPODE, V48, P115, DOI 10.1111/anti.12164
   Coalition for Urban Transitions, 2021, SEIZ URB OPP
   Cornwall A, 2007, DEV PRACT, V17, P471, DOI 10.1080/09614520701469302
   Country B, 2016, PROG HUM GEOG, V40, P455, DOI 10.1177/0309132515589437
   Daher Rami., 2013, Environnement Urbain/Urban Environment, V7, P99, DOI DOI 10.7202/1027729AR
   Davis K, 2008, FEM THEOR, V9, P67, DOI 10.1177/1464700108086364
   DAVIS MS, 1986, PHILOS SOC SCI, V16, P285, DOI 10.1177/004839318601600301
   De Lara J, 2018, ANN AM ASSOC GEOGR, V108, P538, DOI 10.1080/24694452.2017.1393328
   de Sousa Santos B., 2015, Epistemologies of the south: Justice against epistemicide
   Durose C., 2022, IS COPRODUCTIO UNPUB
   Egerer M., 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00024-y
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Elzen B., 2004, SYSTEM INNOVATION TR
   Erlinghagen S, 2012, ENERG POLICY, V51, P895, DOI 10.1016/j.enpol.2012.09.045
   Ernst L, 2016, J CLEAN PROD, V112, P2988, DOI 10.1016/j.jclepro.2015.10.136
   Escobar A, 2015, SUSTAIN SCI, V10, P451, DOI 10.1007/s11625-015-0297-5
   European Commission, 2021, Policy scenarios for delivering the European green deal
   Frantzeskaki N, 2018, ENVIRON INNOV SOC TR, V29, P47, DOI 10.1016/j.eist.2018.08.001
   Frantzeskaki N, 2016, CURR OPIN ENV SUST, V22, P41, DOI 10.1016/j.cosust.2017.04.008
   Fritz M, 2017, THEOR PRACT URB SUST, P65, DOI 10.1007/978-3-319-56091-5_5
   García JJL, 2015, AM J PUBLIC HEALTH, V105, pE27, DOI 10.2105/AJPH.2015.302706
   Geels FW, 2004, RES POLICY, V33, P897, DOI 10.1016/j.respol.2004.01.015
   Gopel M, 2016, ANTHROP POL ECON SOC, P1, DOI 10.1007/978-3-319-43766-8
   Gorissen L, 2018, J CLEAN PROD, V173, P171, DOI 10.1016/j.jclepro.2016.12.052
   Grosfoguel R, 2016, J WORLD SYST RES, V22, P9, DOI 10.5195/jwsr.2016.609
   Grosfoguel Ramon., 2011, Journal of Peripheral Cultural Production of the Luso-Hispanic World, V1, P1, DOI DOI 10.5070/T411000004
   Grosfoguel Ramon., 2002, Review, V25, P203
   Gunder M, 2006, J PLAN EDUC RES, V26, P208, DOI 10.1177/0739456X06289359
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hamann R, 2013, J CLEAN PROD, V50, P12, DOI 10.1016/j.jclepro.2012.11.017
   Hansjürgens B, 2018, FUTURE CITY, V10, P117, DOI 10.1007/978-3-319-59324-1_7
   Heffron RJ, 2018, GEOFORUM, V88, P74, DOI 10.1016/j.geoforum.2017.11.016
   Henrique KP, 2021, PROG HUM GEOG, V45, P1169, DOI 10.1177/0309132520962856
   Higgins P, 2013, J CLEAN PROD, V50, P56, DOI 10.1016/j.jclepro.2012.11.025
   Hodkinson S., 2012, CITY, V16, P500, DOI DOI 10.1080/13604813.2012.709403
   Hodson M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020299
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hooks B, 2015, FEMINIST THEORY: FROM MARGIN TO CENTER, P1
   Howarth D.R., 2000, DISCOURSE THEORY POL
   Huaming C, 2021, ELECTRON WORLD, V24, P33
   Huang P, 2021, T I BRIT GEOGR, V46, P900, DOI 10.1111/tran.12453
   Ibrahim M, 2018, SUSTAIN CITIES SOC, V37, P530, DOI 10.1016/j.scs.2017.10.008
   Iwaniec DM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030573
   Katz C, 1996, ENVIRON PLANN D, V14, P487, DOI 10.1068/d140487
   Kemp R, 2007, INT J SUST DEV WORLD, V14, P78, DOI 10.1080/13504500709469709
   Koch F., 2016, HOW ACHIEVE URBAN SU
   Kppers Roni., 2024, POPULIST REASON, DOI 10.1080/23254823.2024.2321905
   Krellenberg K, 2016, CURR OPIN ENV SUST, V22, P51, DOI 10.1016/j.cosust.2017.04.001
   Laclau Ernesto., 2001, Hegemony and Socialist Strategy: Towards a Radical Democratic Politics, VSecond
   Laclau Ernesto., 1990, New Reflections on the Revolution of Our Time
   Lebel L, 2006, ECOL SOC, V11
   LELE SM, 1991, WORLD DEV, V19, P607, DOI 10.1016/0305-750X(91)90197-P
   Li Y, 2018, J CLEAN PROD, V195, P1505, DOI 10.1016/j.jclepro.2017.10.227
   Lorber J., 2001, GENDER UNEQUALITY
   Luke TW, 2009, CRIT POLICY STUD, V3, P14, DOI 10.1080/19460170903158065
   Manderscheid K, 2012, ANTIPODE, V44, P197, DOI 10.1111/j.1467-8330.2011.00854.x
   MARTINEZALIER J, 2016, J PEASANT STUD, V43, P731, DOI DOI 10.1080/03066150.2016.1141198
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   McCormick K, 2013, J CLEAN PROD, V50, P1, DOI 10.1016/j.jclepro.2013.01.003
   McDonald D., 2012, World City Syndrome: Neoliberalism and Inequality in Cape Town
   McPhearson T, 2016, CURR OPIN ENV SUST, V22, P33, DOI 10.1016/j.cosust.2017.04.004
   Meadowcroft J, 2009, POLICY SCI, V42, P323, DOI 10.1007/s11077-009-9097-z
   Mendizabal M, 2018, RENEW SUST ENERG REV, V94, P410, DOI 10.1016/j.rser.2018.06.003
   Mignolo WD, 2017, AFTERALL, P38, DOI 10.1086/692552
   Mignolo Walter D., 2018, On Decoloniality: Concepts, Analytics, Praxis
   Miraftab Faranak., 2015, Cities and inequalities in a global and neoliberal world
   NDLOVUGATSHENI S, 2018, EPISTEMIC FREEDOM AF, P1
   NELSON RR, 1977, RES POLICY, V6, P36, DOI 10.1016/0048-7333(77)90029-4
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   Newell P, 2013, GEOGR J, V179, P132, DOI 10.1111/geoj.12008
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   O'Brien K, 2018, CURR OPIN ENV SUST, V31, P153, DOI 10.1016/j.cosust.2018.04.010
   Obeng-Odoom Franklin., 2020, The commons in an age of uncertainty: Decolonizing nature, economy, and society, DOI DOI 10.3138/9781487513900
   Olazabal M, 2016, ENVIRON INNOV SOC TR, V18, P18, DOI 10.1016/j.eist.2015.06.006
   Olsson P, 2004, ECOL SOC, V9
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Patterson JJ, 2018, CURR OPIN ENV SUST, V31, P1, DOI 10.1016/j.cosust.2017.11.002
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pickett STA, 2013, CITIES, V32, pS10, DOI 10.1016/j.cities.2013.02.008
   Quijano A, 2007, CULT STUD, V21, P168, DOI 10.1080/09502380601164353
   Rijke J, 2013, ENVIRON SCI POLICY, V25, P62, DOI 10.1016/j.envsci.2012.09.012
   Romero-Lankao P, 2013, CURR OPIN ENV SUST, V5, P358, DOI 10.1016/j.cosust.2013.07.008
   Rosenzweig C, 2018, NAT CLIM CHANGE, V8, P756, DOI 10.1038/s41558-018-0267-x
   Said Edward W., 1995, Orientalism. Western Conceptions of the Orient
   Saito Leland., 2009, POLITICS EXCLUSION F
   Schipper ELF, 2021, CLIM DEV, V13, P467, DOI 10.1080/17565529.2020.1799738
   Scoones I, 2016, ANNU REV ENV RESOUR, V41, P293, DOI 10.1146/annurev-environ-110615-090039
   Shove E, 2007, ENVIRON PLANN A, V39, P763, DOI 10.1068/a39310
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith A, 2010, ECOL SOC, V15
   Swilling M, 2016, J ENVIRON POL PLAN, V18, P650, DOI 10.1080/1523908X.2015.1107716
   Temper L, 2018, SUSTAIN SCI, V13, P573, DOI 10.1007/s11625-018-0563-4
   Trencher GP, 2013, J CLEAN PROD, V50, P40, DOI 10.1016/j.jclepro.2012.11.047
   Turnheim B., 2018, Innovating Climate Governance: Moving beyond Experiments, DOI DOI 10.1017/9781108277679.003
   UN General Assembly, 2016, NEW URB AG QUIT DECL
   UN News, 2021, UN NEWS 0418
   Uyarra E, 2013, J CLEAN PROD, V50, P101, DOI 10.1016/j.jclepro.2012.11.046
   Vergragt PJ., 2010, SUSS EN GROUP C BRIG
   Walker B., 2004, Ecology and Society, V9, P5
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Wetherell M., 2001, DISCOURSE THEORY PRA
   Wiek A, 2015, CURR OPIN ENV SUST, V16, P29, DOI 10.1016/j.cosust.2015.07.001
   Williams J, 2016, FUTURES, V77, P80, DOI 10.1016/j.futures.2016.02.003
   Wolfram M, 2016, CURR OPIN ENV SUST, V22, P18, DOI 10.1016/j.cosust.2017.01.014
   Yodanis CL, 2004, J INTERPERS VIOLENCE, V19, P655, DOI 10.1177/0886260504263868
NR 121
TC 27
Z9 28
U1 2
U2 25
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0066-4812
EI 1467-8330
J9 ANTIPODE
JI Antipode
PD JUL
PY 2022
VL 54
IS 4
BP 1320
EP 1343
DI 10.1111/anti.12820
EA MAR 2022
PG 24
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 1Y6JI
UT WOS:000765931000001
PM 35911792
OA Green Accepted, Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Hebinck, A
   Selomane, O
   Veen, E
   de Vrieze, A
   Hasnain, S
   Sellberg, M
   Sovova, L
   Thompson, K
   Vervoort, J
   Wood, A
AF Hebinck, A.
   Selomane, O.
   Veen, E.
   de Vrieze, A.
   Hasnain, S.
   Sellberg, M.
   Sovova, L.
   Thompson, K.
   Vervoort, J.
   Wood, A.
TI Exploring the transformative potential of urban food
SO NPJ URBAN SUSTAINABILITY
LA English
DT Article
ID GLOBAL ENVIRONMENTAL-CHANGE; SUSTAINABILITY; AGRICULTURE; COMMUNITY;
   TRANSITIONS; NETWORKS; CITY; RESTAURATEUR; RESILIENCE; GOVERNANCE
AB Urban food is a key lever for transformative change towards sustainability. While research reporting on the urban food practices (UFPs) in support of sustainability is increasing, the link towards transformative potential is lacking. This is because research on urban food is often place-based and contextual. This limits the applicability of insights to large-scale sustainability transformations. This paper describes UFPs that aim to contribute to transformative change. We present signposts for potential change based on the types of intended transformative changes as described in the reviewed literature based on the processes and outcomes of the urban food policies and programmes. Secondly, we classify diverse UFPs to elevate them beyond their local, place-based contexts. We find that UFPs carry a lot of potential to facilitate sustainability transformations. Based on that analysis, we provide insights on how urban food research can further contribute to harnessing the transformative potential of UFPs for actionable purposes.
C1 [Hebinck, A.] Erasmus Univ, Dutch Res Inst Transit DRIFT, Rotterdam, Netherlands.
   [Selomane, O.] Stellenbosch Univ, Ctr Sustainabil Transit, Stellenbosch, South Africa.
   [Veen, E.; de Vrieze, A.; Sovova, L.] Wageningen Univ, Rural Sociol Grp, Wageningen, Netherlands.
   [Hasnain, S.] Univ Oxford, Environm Change Inst, Oxford, England.
   [Sellberg, M.; Wood, A.] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
   [Thompson, K.] Univ Utrecht, Fac Geosci, Utrecht, Netherlands.
   [Vervoort, J.] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.
C3 Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University
   Rotterdam; Stellenbosch University; Wageningen University & Research;
   University of Oxford; Stockholm University; Utrecht University; Utrecht
   University
RP Hebinck, A (corresponding author), Erasmus Univ, Dutch Res Inst Transit DRIFT, Rotterdam, Netherlands.; Selomane, O (corresponding author), Stellenbosch Univ, Ctr Sustainabil Transit, Stellenbosch, South Africa.
EM hebinck@drift.eur.nl; odirilwes@sun.ac.za
RI Selomane, Odirilwe/L-8068-2019; Sovová, Lucie/ITU-7861-2023; Hebinck,
   Aniek/AAD-2887-2019
OI Thompson, Kyle Alexander/0000-0001-6413-5949; Wood,
   Amanda/0000-0001-6977-9145; Hebinck, Aniek/0000-0002-6441-374X; Sovova,
   Lucie/0000-0003-2906-2144; Selomane, Odirilwe/0000-0002-6892-4221
FU EU Joint Programme Initiative Urban Europe programme [JPI UE: 17133728
   (SIRIUS)]; Marianne and Marcus Wallenberg Foundation
FX The authors thank Line Gordon, Stephan Barthel, Monika Zurek and Han
   Wiskerke for their contributions to earlier discussions that led to the
   development of this paper. In addition, we are thankful for the
   constructive feedback from the handling editor and the two reviewers.
   This research has been supported by the EU Joint Programme Initiative
   Urban Europe programme under grant no. JPI UE: 17133728 (SIRIUS) and the
   Marianne and Marcus Wallenberg Foundation.
CR [Anonymous], 2015, Principles for Building Resilience: Sustaining Ecosystem Services in Social-Ecological Systems, DOI 10.1017/CBO9781316014240
   Ashe LM, 2013, PUBLIC HEALTH NUTR, V16, P1020, DOI 10.1017/S1368980012004326
   Barthel S, 2013, ECOL ECON, V86, P224, DOI 10.1016/j.ecolecon.2012.06.018
   Bennett EM, 2016, FRONT ECOL ENVIRON, V14, P441, DOI 10.1002/fee.1309
   Berti G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070616
   Biermann F, 2012, CURR OPIN ENV SUST, V4, P51, DOI 10.1016/j.cosust.2012.01.014
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Cairns K, 2017, CHILD GEOGR, V15, P304, DOI 10.1080/14733285.2016.1221058
   Campbell LK, 2016, URBAN FOR URBAN GREE, V19, P295, DOI 10.1016/j.ufug.2016.03.011
   Caron P, 2018, AGRON SUSTAIN DEV, V38, DOI 10.1007/s13593-018-0519-1
   Certomà C, 2015, LOCAL ENVIRON, V20, P1123, DOI 10.1080/13549839.2015.1053724
   Chapin F.S., 2011, Journal of Environmental Studies and Sciences, V1, P44, DOI DOI 10.1007/S13412-011-0010-7
   Chiffoleau Y, 2016, AGRICULTURE-BASEL, V6, DOI 10.3390/agriculture6040057
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   Tàbara JD, 2018, CURR OPIN ENV SUST, V31, P120, DOI 10.1016/j.cosust.2018.01.012
   Dolley J, 2020, SUSTAIN SCI, V15, P1601, DOI 10.1007/s11625-020-00802-0
   Dubois A, 2019, AGR HUM VALUES, V36, P763, DOI 10.1007/s10460-019-09953-y
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Feola G, 2019, SUSTAIN SCI, V14, P1643, DOI 10.1007/s11625-018-0631-9
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Folke C, 2019, NAT ECOL EVOL, V3, P1396, DOI 10.1038/s41559-019-0978-z
   Forssell S, 2015, AGR HUM VALUES, V32, P63, DOI 10.1007/s10460-014-9516-4
   Galafassi D, 2018, ECOL SOC, V23, DOI 10.5751/ES-09932-230123
   García-Sempere A, 2018, GLOBALIZATIONS, V15, P390, DOI 10.1080/14747731.2018.1424285
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Gernert M, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2010023
   Glover TD, 2005, J LEISURE RES, V37, P450, DOI 10.1080/00222216.2005.11950062
   Gordon LJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa81dc
   Hake BJ, 2017, J INTERGENER RELATSH, V15, P26, DOI 10.1080/15350770.2017.1260369
   Haysom G., 2015, Urban Forum, V26, P263, DOI DOI 10.1007/S12132-015-9255-7
   Hebinck A, 2021, GLOB FOOD SECUR-AGR, V29, DOI 10.1016/j.gfs.2021.100546
   Hebinck A, 2018, ECOL SOC, V23, DOI 10.5751/ES-10054-230216
   Hebinck A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060931
   Higgins-Desbiolles F, 2014, ANN LEIS RES, V17, P267, DOI 10.1080/11745398.2014.937346
   Hodbod J., 2015, J. Environ. Stud. Sci, V5, P474, DOI [DOI 10.1007/S13412-015-0280-6, 10.1007/s13412-015-0280-6]
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   Horst M, 2017, J AM PLANN ASSOC, V83, P277, DOI 10.1080/01944363.2017.1322914
   Ilieva RT, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101707
   iPES Food, 2015, The New Science of Sustainable Food Systems
   IPES-Food, 2017, WHAT MAK URB FOOD PO
   Jarosz L, 2008, J RURAL STUD, V24, P231, DOI 10.1016/j.jrurstud.2007.10.002
   Jehlicka P, 2020, J RURAL STUD, V76, P286, DOI 10.1016/j.jrurstud.2020.04.015
   Kasper C, 2017, AGROECOL SUST FOOD, V41, P1009, DOI 10.1080/21683565.2017.1334737
   Kneafsey M, 2017, LOCAL ENVIRON, V22, P621, DOI 10.1080/13549839.2016.1245717
   Kopp RE, 2016, EARTHS FUTURE, V4, P346, DOI 10.1002/2016EF000362
   Kugelberg S, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2020.100451
   Kulak M, 2013, LANDSCAPE URBAN PLAN, V111, P68, DOI 10.1016/j.landurbplan.2012.11.007
   Lam D.P. M., 2020, URBAN TRANSFORM, V2, P3, DOI DOI 10.1186/S42854-020-00007-9
   Lang T., 2009, FOOD POLICY INTEGRAT
   Larsson M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8060550
   Larsson M, 2012, J SUSTAIN AGR, V36, P153, DOI 10.1080/10440046.2011.620225
   Leach M, 2012, ECOL SOC, V17, DOI 10.5751/ES-04933-170211
   Levkoe CZ, 2011, LOCAL ENVIRON, V16, P687, DOI 10.1080/13549839.2011.592182
   Loh P, 2019, GEOFORUM, V99, P213, DOI 10.1016/j.geoforum.2018.08.017
   Loorbach D, 2020, ENVIRON INNOV SOC TR, V35, P251, DOI 10.1016/j.eist.2020.01.009
   Loorbach D, 2017, ANNU REV ENV RESOUR, V42, P599, DOI 10.1146/annurev-environ-102014-021340
   Marsden T, 2013, SUSTAIN SCI, V8, P213, DOI 10.1007/s11625-012-0186-0
   Martin G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050409
   Matacena R., 2016, International Review of Social Research, V6, P49, DOI DOI 10.1515/IRSR-2016-0007
   McCormick K, 2013, J CLEAN PROD, V50, P1, DOI 10.1016/j.jclepro.2013.01.003
   Moore ML, 2014, ECOL SOC, V19, DOI 10.5751/ES-06966-190454
   Moragues-Faus A, 2018, FOOD SECUR, V10, P1337, DOI 10.1007/s12571-018-0855-7
   Moragues-Faus A, 2017, J RURAL STUD, V55, P275, DOI 10.1016/j.jrurstud.2017.08.016
   Moragues-Faus A, 2015, ENVIRON PLANN A, V47, P1558, DOI 10.1177/0308518X15595754
   Morgan K, 2013, INT PLAN STUD, V18, P1, DOI 10.1080/13563475.2012.752189
   Moskwa E, 2015, J SUSTAIN TOUR, V23, P126, DOI 10.1080/09669582.2014.940046
   Nagendra H, 2018, NAT SUSTAIN, V1, P341, DOI 10.1038/s41893-018-0101-5
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Österblom H, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127533
   Patterson J, 2017, ENVIRON INNOV SOC TR, V24, P1, DOI 10.1016/j.eist.2016.09.001
   Pedersen I, 2016, WORK, V53, P31, DOI 10.3233/WOR-152213
   Pel B, 2020, TECHNOL FORECAST SOC, V160, DOI 10.1016/j.techfore.2020.120244
   Pereira L, 2020, SUSTAIN SCI, V15, P161, DOI 10.1007/s11625-019-00749-x
   Pereira LM, 2019, GLOB SUSTAIN, V2, DOI 10.1017/S2059479819000139
   Pereira LM., 2018, URBAN PLANET KNOWLED, P327, DOI [10.1017/9781316647554.018, DOI 10.1017/9781316647554.018]
   Pothukuchi K., 1999, Agriculture and Human Values, V16, P213, DOI 10.1023/A:1007558805953
   Purcell M, 2015, LOCAL ENVIRON, V20, P1132, DOI 10.1080/13549839.2014.903236
   Renting H, 2003, ENVIRON PLANN A, V35, P393, DOI 10.1068/a3510
   Rocha JC, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0134639
   Rutten M, 2018, AGR SYST, V163, P45, DOI 10.1016/j.agsy.2016.10.014
   Sbicca J., 2017, Environmental Sociology, V3, P30, DOI [10.1080/23251042.2016.1227229, DOI 10.1080/23251042.2016.1227229]
   Scoones I, 2020, CURR OPIN ENV SUST, V42, P65, DOI 10.1016/j.cosust.2019.12.004
   Sellberg MM, 2020, GLOB FOOD SECUR-AGR, V24, DOI 10.1016/j.gfs.2019.100334
   Sharpe B, 2016, ECOL SOC, V21, DOI 10.5751/ES-08388-210247
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Sibbing L, 2021, INT PLAN STUD, V26, P56, DOI 10.1080/13563475.2019.1674642
   Sonnino R, 2019, CITIES, V85, P110, DOI 10.1016/j.cities.2018.08.008
   Sonnino R, 2009, INT PLAN STUD, V14, P425, DOI 10.1080/13563471003642795
   Termeer CJAM, 2019, J CLEAN PROD, V240, DOI 10.1016/j.jclepro.2019.118272
   Termeer CJAM, 2019, POLICY SOC, V38, P298, DOI 10.1080/14494035.2018.1497933
   Torrens J, 2019, ENVIRON INNOV SOC TR, V31, P211, DOI 10.1016/j.eist.2018.11.003
   van Holstein E, 2017, LOCAL ENVIRON, V22, P1159, DOI 10.1080/13549839.2017.1328673
   Veen EJ, 2016, LOCAL ENVIRON, V21, P1271, DOI 10.1080/13549839.2015.1101433
   Vieira LC, 2018, J CLEAN PROD, V200, P318, DOI 10.1016/j.jclepro.2018.07.283
   von Wirth T, 2019, EUR PLAN STUD, V27, P229, DOI 10.1080/09654313.2018.1504895
   Wekerle GR, 2015, LOCAL ENVIRON, V20, P1175, DOI 10.1080/13549839.2015.1007121
   Wiek A, 2012, SUSTAIN SCI, V7, P5, DOI 10.1007/s11625-011-0148-y
   Wiskerke JSC, 2015, EARTHSCAN FOOD AGRIC, P1
   Wiskerke JSC, 2012, SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE, P19, DOI 10.3920/978-90-8686-826-1_1
   Wolfram M, 2019, AMBIO, V48, P437, DOI 10.1007/s13280-019-01169-y
   Wolfram M, 2019, J ENVIRON POL PLAN, V21, P1, DOI 10.1080/1523908X.2018.1558848
   Zurek M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114271
NR 103
TC 16
Z9 17
U1 0
U2 5
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2661-8001
J9 NPJ URBAN SUSTAIN
JI npj Urban Sustain.
PD DEC 13
PY 2021
VL 1
IS 1
AR 38
DI 10.1038/s42949-021-00041-x
PG 9
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA I3AE7
UT WOS:001001533700001
OA gold
DA 2025-04-22
ER

PT J
AU Jiang, L
   Hu, F
   Zong, SL
   Yan, H
   Kong, W
   Chai, XG
   Zhang, L
AF Jiang, Li
   Hu, Fei
   Zong, Shaolei
   Yan, Hui
   Kong, Wei
   Chai, Xiaoguang
   Zhang, Lu
TI Optimal Scheduling Strategy for Urban Distribution Grid Resilience
   Enhancement Considering Renewable-to-Ammonia Coordination
SO ENERGIES
LA English
DT Article
DE carbon emission; optimization scheduling; renewable-to-ammonia system;
   resilience enhancement; urban distribution network
ID DISTRIBUTION NETWORKS; POWER; MANAGEMENT; MECHANISM
AB The integration of numerous distributed energy sources into the power system offers exciting opportunities to enhance the resilience of distribution networks. It is worth noting that the renewable-to-ammonia system has the potential to alleviate the multi-temporal and spatial imbalance of the power system. Therefore, this paper proposes a mathematical model for a renewable-to-ammonia system, taking into account the material balance and power balance of each unit. Based on this, this paper further explores the optimization scheduling method for flexible ammonia loads in distribution networks. A relaxation method for branch flow models in distribution networks based on second-order cone programming is proposed. An optimization scheduling model for flexible ammonia loads in distribution networks is constructed to minimize network loss. Moreover, considering the environmental advantages of the renewable-to-ammonia system, this paper compares the changes in hydrogen production technologies under different carbon emission constraints. Finally, a case study of the IEEE 33-node system is adopted to verify the effectiveness of the proposed model and method. It indicates that the renewable-to-ammonia system has environmental benefits and can reduce network loss to a certain extent.
C1 [Jiang, Li; Hu, Fei; Zong, Shaolei; Yan, Hui; Kong, Wei; Chai, Xiaoguang] State Grid Wuxi Power Supply Co, Wuxi 214000, Peoples R China.
   [Zhang, Lu] China Agr Univ, Coll Informat & Elect Engn, Beijing 100091, Peoples R China.
C3 China Agricultural University
RP Zhang, L (corresponding author), China Agr Univ, Coll Informat & Elect Engn, Beijing 100091, Peoples R China.
EM jiangl.wx@js.sgcc.com.cn; hufei@js.sgcc.com.cn; shlzong@js.sgcc.com.cn;
   yanh@js.sgcc.com.cn; kongw@js.sgcc.com.cn; chaixg@js.sgcc.com.cn;
   zhanglu1@cau.edu.cn
FU Research and Application of Resilience Enhancement Technology for Urban
   Power Grids in Response to Extreme Natural Disasters;  [J2023170]
FX This research was funded by Research and Application of Resilience
   Enhancement Technology for Urban Power Grids in Response to Extreme
   Natural Disasters, grant number J2023170.
CR Akhter Q, 2023, IEEE ACCESS, V11, P85716, DOI 10.1109/ACCESS.2023.3303204
   Chen YW, 2015, IEEE T SMART GRID, V6, P2816, DOI 10.1109/TSG.2015.2446980
   Dong L., 2023, Power Syst. Autom, V47, P59
   Gautam AK, 2022, IEEE ACCESS, V10, P121684, DOI 10.1109/ACCESS.2022.3217771
   Guo CS, 2023, IEEE T CLOUD COMPUT, V11, P1133, DOI 10.1109/TCC.2022.3162556
   Itiki R, 2024, ENERGIES, V17, DOI 10.3390/en17010233
   Jiang W., 2023, Power Syst. Autom, V47, P33
   Kalantar-Neyestanaki M, 2021, IEEE T SUSTAIN ENERG, V12, P1853, DOI 10.1109/TSTE.2021.3068630
   Li JR, 2019, IEEE T SUSTAIN ENERG, V10, P1672, DOI 10.1109/TSTE.2018.2868827
   Li XJ, 2021, IEEE T APPL SUPERCON, V31, DOI 10.1109/TASC.2021.3117750
   Li ZN, 2021, RENEW ENERG, V180, P1073, DOI 10.1016/j.renene.2021.09.034
   [李泽宁 Li Zening], 2021, [电网技术, Power System Technology], V45, P2288
   Ma J, 2024, INNOVATION-AMSTERDAM, V5, DOI 10.1016/j.xinn.2024.100611
   Min L., 2023, Power Syst. Autom, V47, P56
   Ru Q., 2022, China Power, V55, P129
   Santos-Ramos JE, 2024, ENERGIES, V17, DOI 10.3390/en17010210
   Shang J., 2024, IEEE Trans Netw. Sci. Eng
   Su L., 2023, Proc. CSEE, V43, P3781
   Penagos CAV, 2024, ENERGIES, V17, DOI 10.3390/en17010168
   Wang JX, 2023, ADV APPL ENERGY, V10, DOI 10.1016/j.adapen.2023.100132
   Wang JX, 2020, CSEE J POWER ENERGY, V6, P31, DOI 10.17775/CSEEJPES.2019.01330
   Wang JX, 2019, J MOD POWER SYST CLE, V7, P837, DOI 10.1007/s40565-019-0518-5
   Wang S, 2020, IEEE T SMART GRID, V11, P602, DOI 10.1109/TSG.2019.2926572
   Wu ZY, 2023, J MOD POWER SYST CLE, V11, P714, DOI 10.35833/MPCE.2022.000521
   Yan H., 2022, Power Constr, V43, P14
   Yang JJ, 2020, IEEE T SMART GRID, V11, P1724, DOI 10.1109/TSG.2019.2942616
   Yang JJ, 2019, IEEE T IND INFORM, V15, P4775, DOI 10.1109/TII.2019.2896346
   Yu P, 2021, IEEE T SMART GRID, V12, P1964, DOI 10.1109/TSG.2020.3026930
   Yu Y, 2023, NAT SUSTAIN, V6, P1006, DOI 10.1038/s41893-023-01111-x
   Yu Y, 2022, J CLEAN PROD, V378, DOI 10.1016/j.jclepro.2022.134541
   Zhang TC, 2023, CSEE J POWER ENERGY, V9, P244, DOI 10.17775/CSEEJPES.2020.03660
   Zhao J., 2020, Power Syst. Autom, V44, P22
   Zhao XY, 2022, IET RENEW POWER GEN, V16, P2658, DOI 10.1049/rpg2.12373
   Zhao YC, 2023, IEEE T POWER SYST, V38, P5937, DOI 10.1109/TPWRS.2023.3309536
   Zheng LT, 2022, CSEE J POWER ENERGY, V8, P392, DOI 10.17775/CSEEJPES.2021.05630
   [周奇 Zhou Qi], 2022, [中国电机工程学报, Proceedings of the Chinese Society of Electrical Engineering], V42, P6668
   Zihan Wang, 2020, Energy Conversion and Economics, V1, P238, DOI 10.1049/enc2.12018
NR 37
TC 0
Z9 0
U1 9
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD SEP
PY 2024
VL 17
IS 18
AR 4540
DI 10.3390/en17184540
PG 13
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA H4T9U
UT WOS:001323392700001
OA gold
DA 2025-04-22
ER

PT J
AU Coates, G
   Alharbi, M
   Li, CH
   Ahilan, S
   Wright, N
AF Coates, Graham
   Alharbi, Meshal
   Li, Chunhui
   Ahilan, Sangaralingam
   Wright, Nigel
TI Evaluating the operational resilience of small and medium-sized
   enterprises to flooding using a computational modelling and simulation
   approach: a case study of the 2007 flood in Tewkesbury
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE small and medium-sized enterprises; resilience; flood modelling;
   agent-based modelling
ID ORGANIZATIONAL RESILIENCE; DISASTER RECOVERY; FRAMEWORK; SMES;
   STRATEGIES; MANAGEMENT; INSIGHTS; EVENT; RISK
AB The resilience of small and medium-sized enterprises (SMEs) to disruptive events is significant as this highly prevalent category of business forms the economic backbone in developed countries. This article provides an overview of the application of a computational modelling and simulation approach to evaluate SMEs' operational resilience to flooding based on combinations of structural and procedural mitigation measures that may be implemented to improve their premises' resistance to flooding and safeguard their business continuity. The approach integrates flood modelling and simulation with agent-based modelling and simulation (ABMS) within a modelled geographical environment. SMEs are modelled as agents based on findings of semi-structured interviews with SMEs that have experienced flooding or are at risk of flooding. In this paper, the ABMS has been applied to a new case study of the major flood event of 2007 in Tewkesbury. Furthermore, to enable an evaluation of the operational resilience of manufacturing SMEs in terms of the relative effectiveness of flood mitigation measures, a new coefficient based on production loss is introduced. Results indicate structural mitigation measures are more effective than procedural measures. While this result is intuitive, the approach provides a means of evaluating the relative effectiveness of combinations of mitigation measures that SMEs may implement to enhance their operational resilience to flooding.
   This article is part of the theme issue 'Urban flood resilience'.
C1 [Coates, Graham] Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
   [Alharbi, Meshal; Li, Chunhui] Univ Durham, Dept Comp Sci, Durham DH1 3LE, England.
   [Ahilan, Sangaralingam] Univ Leeds, Sch Civil Engn, Leeds L62 9JT, W Yorkshire, England.
   [Wright, Nigel] Nottingham Trent Univ, Sch Architecture Design & Built Environm, Nottingham NG1 4FQ, England.
C3 Newcastle University - UK; Durham University; University of Leeds;
   Nottingham Trent University
RP Coates, G (corresponding author), Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
EM graham.coates1@newcastle.ac.uk
RI Ahilan, Sangaralingam/I-2915-2019; Wright, Nigel/ABO-7247-2022; Alharbi,
   Meshal/GQP-6226-2022; Wright, Nigel/B-3846-2009
OI Wright, Nigel/0000-0002-1289-2830; Li, Chunhui/0000-0003-1333-7748
FU Engineering and Physical Science Research Council [EP/K012770/1]; EPSRC
   [EP/I030735/1, EP/K012770/1] Funding Source: UKRI
FX This research was supported by the Engineering and Physical Science
   Research Council (EP/K012770/1).
CR [Anonymous], REV 2007 SUMM FLOODS
   Arvitrida NI, 2017, OPER SUPPLY CHAIN MA, V10, P149
   Asgary A, 2012, INT J DISAST RISK RE, V2, P46, DOI 10.1016/j.ijdrr.2012.08.001
   Barenji AV, 2017, INT J ADV MANUF TECH, V89, P3123, DOI 10.1007/s00170-016-9299-4
   Battisti M, 2017, INT SMALL BUS J, V35, P78, DOI 10.1177/0266242615611471
   Bhamra R, 2011, INT J PROD RES, V49, P5375, DOI 10.1080/00207543.2011.563826
   Bhattacharya-Mis N, 2014, WIT T ECOLOGY ENV, V1, P163, DOI 10.2495/FRIAR140141
   Blundel R, 2014, I SMALL BUSINESS ENT
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burnard K, 2011, INT J PROD RES, V49, P5581, DOI 10.1080/00207543.2011.563827
   Coates G, 2019, ENG APPL ARTIF INTEL, V78, P195, DOI 10.1016/j.engappai.2018.11.010
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Dawson RJ, 2011, NAT HAZARDS, V59, P167, DOI 10.1007/s11069-011-9745-4
   Du EH, 2017, WATER RESOUR RES, V53, P9164, DOI 10.1002/2017WR021192
   Dubbelboer J, 2017, JASSS-J ARTIF SOC S, V20, DOI 10.18564/jasss.3135
   Duchek Stephanie., 2019, BUSINESS RES, DOI DOI 10.1007/S40685-019-0085-7
   Fu JX, 2015, ENG APPL ARTIF INTEL, V44, P91, DOI 10.1016/j.engappai.2015.05.002
   Grunert J, 2012, SMALL BUS ECON, V39, P401, DOI 10.1007/s11187-010-9311-6
   Gunasekaran A, 2011, INT J PROD RES, V49, P5489, DOI 10.1080/00207543.2011.563831
   Haer T, 2016, ENVIRON SCI POLICY, V60, P44, DOI 10.1016/j.envsci.2016.03.006
   Halkos G, 2018, BUS STRATEG ENVIRON, V27, P547, DOI 10.1002/bse.2019
   Henderson F, 2016, STUDIA MIEJSKIE, V24, P23
   Horritt M, 2004, INT J NUMER METH FL, V44, P1231, DOI 10.1002/fld.684
   Ingirige B., 2011, 7 ANN INT C INT I IN
   Jedynak P., 2013, ZARZADZANIE CIAGLOSC, V12, P85
   Jenkins K, 2017, SCI TOTAL ENVIRON, V595, P159, DOI 10.1016/j.scitotenv.2017.03.242
   Jones K, 2008, CIB W70 INT C FAC MA
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Lawlor JA, 2017, EVAL PROGRAM PLANN, V65, P131, DOI 10.1016/j.evalprogplan.2017.08.015
   Linnenluecke MK, 2012, BUS STRATEG ENVIRON, V21, P17, DOI 10.1002/bse.708
   Liu Y., 2009, J. Nat. Disaster Sci, V31, P69, DOI [10.2328/jnds.31.69, DOI 10.2328/JNDS.31.69]
   Macal CM, 2016, J SIMUL, V10, P144, DOI 10.1057/jos.2016.7
   Marshall MI, 2014, NAT HAZARDS, V72, P597, DOI 10.1007/s11069-013-1025-z
   McGuinnes M, 2013, ASS GEOGRAPHIC SOC E
   Neal J, 2011, J FLOOD RISK MANAG, V4, P88, DOI 10.1111/j.1753-318X.2011.01093.x
   Neal JC, 2009, J HYDROL, V368, P42, DOI 10.1016/j.jhydrol.2009.01.026
   Pablo-Marti F, 2012, EUR C COMPL SYST, P399, DOI 10.1007/978-3-319-00395-5_50
   Pathak S, 2016, INT J DISAST RISK RE, V18, P197, DOI 10.1016/j.ijdrr.2016.07.001
   Radovic-Markovic M., 2017, Management, enterprise and benchmarking in the 21st century IV: "Global challenges, local answers, P345
   Rhodes C, 2018, BUSINESS STAT, p[06512, 1]
   Sahebjamnia N, 2018, INT J PROD ECON, V197, P63, DOI 10.1016/j.ijpe.2017.12.009
   Samantha G, 2018, PROCEDIA ENGINEER, V212, P744, DOI 10.1016/j.proeng.2018.01.096
   Sauser B, 2018, NAT HAZARDS, V90, P79, DOI 10.1007/s11069-017-3034-9
   Sullivan-Taylor B, 2011, INT J PROD RES, V49, P5565, DOI 10.1080/00207543.2011.563837
   The UK Cabinet Office, 2017, NAT RISK REG CIV EM, P1
   Tonn GL, 2018, RISK ANAL, V38, P1258, DOI 10.1111/risa.12939
   Tounsi J, 2012, J INTELL MANUF, V23, P2647, DOI 10.1007/s10845-011-0537-1
   Van Gils A., 2005, European Management Journal, V23, P583, DOI 10.1016/j.emj.2005.09.013
   Vogus TJ, 2007, IEEE SYS MAN CYBERN, P3476
   Wang MH, 2009, ENG APPL ARTIF INTEL, V22, P1046, DOI 10.1016/j.engappai.2008.09.001
   Wedawatta G, 2014, J FLOOD RISK MANAG, V7, P42, DOI 10.1111/jfr3.12031
   Wedawatta G, 2012, DISASTER PREV MANAG, V21, P474, DOI 10.1108/09653561211256170
   Williams RA, 2018, SIMUL MODEL PRACT TH, V83, P201, DOI 10.1016/j.simpat.2017.11.001
   Wishart M., 2018, Business Resilience in an SME context: A literature review
   Yang LE, 2018, ENVIRON MODEL ASSESS, V23, P369, DOI 10.1007/s10666-018-9597-3
   Yoshida K., 2005, NAT HAZARDS REV, V6, P1, DOI [10.1061/(ASCE) 1527-6988(2005) 6:1(1), DOI 10.1061/(ASCE)1527-6988(2005)6:1(1), 10.1061/(ASCE)1527-6988(2005)6:1(1)]
   Zobel CW, 2011, DECIS SUPPORT SYST, V50, P394, DOI 10.1016/j.dss.2010.10.001
NR 57
TC 13
Z9 16
U1 7
U2 57
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD APR 3
PY 2020
VL 378
IS 2168
SI SI
AR 20190210
DI 10.1098/rsta.2019.0210
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA KO6JB
UT WOS:000515653700010
PM 32063170
OA hybrid, Green Accepted, Green Published
DA 2025-04-22
ER

PT J
AU Li, YH
   Westlund, H
   Liu, YS
AF Li, Yuheng
   Westlund, Hans
   Liu, Yansui
TI Why some rural areas decline while some others not: An overview of rural
   evolution in the world
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Rural decline; Rural revitalization; Rural resilience; Rural evolution;
   Sustainability
ID MIGRATION; CHINA; GENTRIFICATION; SUSTAINABILITY; POLICY; RESILIENCE;
   STRATEGIES; AUSTRALIA; SYSTEMS
AB Rural decline is an inevitable process as human society transforms from the agrarian to the urban-industrial economy, and further on to the knowledge economy. Through an extensive literature review, this paper aims to interpret why some rural areas decline while some others do not. The findings show that it is by the interactions between rural areas and the external environment that rural communities either grow, decline or even vanish. The paper emphasizes the necessity to improve rural communities' resilient capacity through adjusting their internal components' function and structure to survive the external changes. In this process, rural livelihood diversification, the creation of market oriented institutions and strong social capital are considered to enhance rural resilience and build up sustaining rural communities. Finally, three conditions for sustainable rural development in the knowledge economy are discussed: 1) development of new economic activities that can respond to potential urban demand; 2) local entrepreneurship that can establish and expand these new activities; and 3) social capital that can support the entrepreneurship in new activities with access to credits, labor, human capital, external markets and external knowledge for learning and innovation.
C1 [Li, Yuheng; Liu, Yansui] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China.
   [Westlund, Hans] KTH Royal Inst Technol, Dept Urban Planning & Environm, Sch Architecture & Built Environm, Stockholm, Sweden.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Royal Institute of Technology
RP Li, YH; Liu, YS (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China.; Westlund, H (corresponding author), KTH Royal Inst Technol, Dept Urban Planning & Environm, Sch Architecture & Built Environm, Stockholm, Sweden.
EM liyuheng@igsnrr.ac.cn; hans.westlund@abe.kth.se; liuys@igsnrr.ac.cn
RI yongchao, zhang/GPT-1863-2022; LIU, Yansui/T-6954-2019; li,
   yuheng/LPQ-3255-2024
OI Liu, Yansui/0000-0001-6636-7313
FU National Natural Science Foundation of China [41771191]
FX The written of the paper was supported by the National Natural Science
   Foundation of China (41771191). The authors are grateful for valuable
   comments from three anonymous referees and from Kyle Farrell.
CR Allison HE, 2004, ECOL SOC, V9
   Amcoff J, 2007, FUTURES, V39, P363, DOI 10.1016/j.futures.2006.08.009
   Anding T. L., 1968, THIS IS ADDRESS NATL
   [Anonymous], 1987, TECHNOLOGY EC PERFOR
   [Anonymous], TOWN COUNTRY PLANNIN
   [Anonymous], 2003, STRATEGIES REVITALIZ
   [Anonymous], 2017, CHIN STAT YB
   [Anonymous], 1998, OUR COMP FUT BUILD K
   Berry B., 1976, URBANISATION COUNTER, P17
   Besser TL, 2009, J RURAL STUD, V25, P185, DOI 10.1016/j.jrurstud.2008.10.005
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Bjornå H, 2009, LOCAL GOV STUD, V35, P213, DOI 10.1080/03003930902742997
   Brown D. L., 2011, RURAL PEOPLE COMMUNI, V65
   Bryant C.R., 1996, GEOGRAPHICAL PERSPEC, P1
   Carr P. J., 2009, Hollowing out the middle: The rural brain drain and what it means for America
   Champion A.G., 1989, COUNTERURBANIZATION
   CHAMPION AG, 1988, INT REGIONAL SCI REV, V11, P253, DOI 10.1177/016001768801100303
   Champion T., 2006, The Ageing Countryside: the growing older population of rural England, P29
   Cloke P, 1998, MIGRATION INTO RURAL AREAS, P134
   Cloke P., 1995, SOCIAL CHANGE MIDDLE, P220
   Crandall M., 2008, What is community vitality?
   Curry GN, 2001, AUST GEOGR, V32, P109, DOI 10.1080/00049180020036268
   Darnhofer I, 2010, ENVIRON POLICY GOV, V20, P212, DOI 10.1002/eet.547
   Davoudi S., 2002, Built Environment, V28, P269, DOI 10.2307/23287748
   Eliasson K, 2013, NEW HORIZ REG SCI, P113
   Ellis Frank., 2000, RURAL LIVELIHOODS DI
   Elshof H, 2015, J RURAL COMMUNITY D, V10, P72
   EPPS R, 1995, AUST GEOGR, V26, P173, DOI 10.1080/00049189508703147
   Etzkowitz H, 2000, RES POLICY, V29, P109, DOI 10.1016/S0048-7333(99)00055-4
   Farrell K., 2017, SUSTAINABILITY, V9, P1
   Farrell K, 2018, ASIAN GEOGR, V35, P85, DOI 10.1080/10225706.2018.1476256
   Flora C.B., 2003, Challenges for Rural America in the Twenty-First Century, P214
   Folke C, 2010, ECOL SOC, V15
   Forth, 2000, REG SCI POLICY PRACT, V9, P4
   FREY WH, 1995, URBAN STUD, V32, P733, DOI 10.1080/00420989550012861
   Fuguitt GV, 1996, GROWTH CHANGE, V27, P156, DOI 10.1111/j.1468-2257.1996.tb00901.x
   FUGUITT GV, 1985, ANNU REV SOCIOL, V11, P259
   Fujita M., 2001, The spatial economy: Cities, regions, and international trade
   Gallaher Art., 1980, DYING COMMUNITY
   Ghose R, 2004, URBAN GEOGR, V25, P528, DOI 10.2747/0272-3638.25.6.528
   Gleeson B, 2008, URBAN STUD, V45, P2653, DOI 10.1177/0042098008098198
   Hedlund M, 2015, J RURAL STUD, V42, P123, DOI 10.1016/j.jrurstud.2015.10.006
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   HUGO GJ, 1985, J RURAL STUD, V1, P11, DOI 10.1016/0743-0167(85)90088-9
   Ito K, 2013, NEW HORIZ REG SCI, P127
   Kasamatsu H., 2009, B SHIMANE PREFECT MT, V5, P73
   Kontuly T, 1998, MIGRATION INTO RURAL AREAS, P61
   Larsen K., 2009, Urban Agriculture Magazine, P22
   Lefebvre Henri., 2003, The Urban Revolution
   Li YH, 2018, LAND USE POLICY, V74, P137, DOI 10.1016/j.landusepol.2017.07.003
   Li YH, 2018, J CLEAN PROD, V178, P580, DOI 10.1016/j.jclepro.2017.12.273
   Li YH, 2016, J RURAL STUD, V47, P506, DOI 10.1016/j.jrurstud.2016.07.004
   Li YH, 2012, REG ENVIRON CHANGE, V12, P803, DOI 10.1007/s10113-012-0295-4
   Li YH, 2011, CHINA AGR ECON REV, V3, P335, DOI 10.1108/17561371111165770
   Liu YS, 2017, NATURE, V548, P275, DOI 10.1038/548275a
   Liu YS, 2010, J GEOGR SCI, V20, P876, DOI 10.1007/s11442-010-0817-2
   Luck GW, 2011, LANDSC SER, V12, P375, DOI 10.1007/978-90-481-9654-8_16
   Lundwall B. A., 1992, NATL SYSTEMS INNOVAT
   Markey S, 2008, J RURAL STUD, V24, P409, DOI 10.1016/j.jrurstud.2008.03.012
   Muilu T, 2003, J RURAL STUD, V19, P295, DOI 10.1016/S0743-0167(03)00003-2
   Murphy BL, 2007, NAT HAZARDS, V41, P297, DOI 10.1007/s11069-006-9037-6
   Myrdal G., 1957, EC THEORY UNDERDEVEL
   Naldi L, 2015, J RURAL STUD, V40, P90, DOI 10.1016/j.jrurstud.2015.06.006
   Natsuda K, 2012, CAN J DEV STUD, V33, P369, DOI 10.1080/02255189.2012.715082
   Nelson PB, 2010, J RURAL STUD, V26, P343, DOI 10.1016/j.jrurstud.2010.06.003
   Niehof A, 2004, FOOD POLICY, V29, P321, DOI 10.1016/j.foodpol.2004.07.009
   Nkhata AB, 2008, ECOL SOC, V13
   Nordin S, 2009, TOURISM, V57, P259
   Odagiri T., 2011, REGENERATION RURAL C
   Odagiri T., 2009, REGENERATING AGRICUL
   Ono A., 2008, KOCHI SHINBUNSHA, P313
   Ono A., 2005, SANSON KANKYO SHAKAI
   PHILLIPS M, 1993, J RURAL STUD, V9, P123, DOI 10.1016/0743-0167(93)90026-G
   Potter R., 2004, GEOGRAPHIES DEV
   Putnam R.D., 1993, Making democracy work: Civic traditions in modern Italy
   Raven PH., 2011, Environment, V8th
   Sakuno H., 2006, JPN ASS EC GEOGR, V52, P46
   Solana-Solana M, 2010, GEOFORUM, V41, P508, DOI 10.1016/j.geoforum.2010.01.005
   Swaffield S., 1998, Journal of Environmental Planning and Management, V41, P111, DOI 10.1080/09640569811821
   Troughton MJ, 1995, CAN GEOGR-GEOGR CAN, V39, P290, DOI 10.1111/j.1541-0064.1995.tb00420.x
   van der Ploeg JD, 2000, SOCIOL RURALIS, V40, P391, DOI 10.1111/1467-9523.00156
   Vidich ArthurJ., 1958, SMALL TOWN MASS SOC
   Walker B, 2004, ECOL SOC, V9
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Warren RolandL., 1963, COMMUNITY AM
   Weber M., 1978, EC SOCEITY
   Westiund H., 2006, SOCIAL CAPITAL KNOWL
   Westlund H., 2018, In the Post-Urban World: Emergent Transformation of Cities and Regions in the Innovative Global Economy, P70
   Westlund H., 2014, Built Environ, V40, P447, DOI [10.2148/benv.40.4.447, DOI 10.2148/BENV.40.4.447]
   Wood RichardE., 2008, SURVIVAL RURAL AM SM
   Woolcock M, 1998, THEOR SOC, V27, P151, DOI 10.1023/A:1006884930135
   Wu H., 2009, WOMEN CHINA, V3, P24
   Yang D. H., 2017, ANN REPORT CHINAS ED
   Young A, 2013, Q J ECON, V128, P1727, DOI 10.1093/qje/qjt025
NR 94
TC 478
Z9 538
U1 106
U2 1070
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
J9 J RURAL STUD
JI J. Rural Stud.
PD MAY
PY 2019
VL 68
BP 135
EP 143
DI 10.1016/j.jrurstud.2019.03.003
PG 9
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA IB1RZ
UT WOS:000470043600013
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Schmäing, S
AF Schmaeing, Sophie
TI From reconfiguring the urban space to resisting Russia's war: local
   civic engagement in Ukraine since 2014
SO POST-SOVIET AFFAIRS
LA English
DT Article; Early Access
DE Civic engagement; Ukraine; social resilience; war; social capital;
   participatory budgeting
ID LEGITIMACY; DEMOCRACY; LEVEL
AB This article examines how local civic groups in Dnipro, Kyiv, and Lviv in Ukraine repurposed their engagement since Russia's full-scale invasion of that country. Following the trajectories of active participants in participatory budgeting, it focuses on the role of existing networks, established practices, and meaning-making processes for the local groups' social resilience. Drawing from interviews and digital ethnography conducted in 2020-2021 and 2023, I identify the social embeddedness of residents' engagement, pre-existing trust, and trust-building practices and cooperation with local authorities as crucial for social resilience. By emphasizing how different kinds of trust form, the article makes an essential contribution to scholarship on trust. With the finding that meaning-making processes are considerably more fluid than pre-established networks and practices, I add a cultural perspective to the social capital literature and elaborate on aspects shaping social resilience. I argue that the long-term resilience of the civic groups' engagement in the three cities will depend on the role they attain in the local political setting beyond aid provision, especially regarding influence on decision-making processes.
C1 [Schmaeing, Sophie] Univ Greifswald, Interdisciplinary Ctr Balt Sea Reg Res, Bahnhofstr 51, D-17489 Greifswald, Germany.
C3 Universitat Greifswald
RP Schmäing, S (corresponding author), Univ Greifswald, Interdisciplinary Ctr Balt Sea Reg Res, Bahnhofstr 51, D-17489 Greifswald, Germany.
EM sophieschmaeing@posteo.de
CR Abers Rebecca., 2000, Inventing Local Democracy: Grassroots Politics in Brazil
   Axyonova V, 2023, J INT RELAT DEV, V26, P711, DOI 10.1057/s41268-023-00297-z
   Baiocchi G., 2003, Deepening Democracy: Institutional Innovations in Empowered Participatory Governance, P45
   Baiocchi G, 2014, POLIT SOC, V42, P29, DOI 10.1177/0032329213512978
   Baiocchi Gianpaolo., 2015, Democratizing Inequalities. Dilemmas of the New Public Participation, P178
   Boichak O, 2024, CULT SOCIOL-LONDON, V18, P48, DOI 10.1177/17499755221127877
   Channell-Justice E., 2022, Without the State: Self-Organization and Political Activism in Ukraine
   Channell-Justice Emily., 2024, Dispossession. Anthropological Perspectives on Russias War Against Ukraine, P188
   Dewey J., 1927, PUBLIC ITS PROBLEMS
   Dias Nelson., 2021, Municipality of Cascais
   Eliasoph N, 2003, AM J SOCIOL, V108, P735, DOI 10.1086/367920
   Falsini Sophie., 2018, The Euromaidan's Effect on Civil Society: Why and How Ukrainian Social Capital Increased after the Revolution of Dignity
   Fung Archon., 2003, Deepening Democracy: Institutional Innovations in Empowered Participatory Governance, P3
   Geissel B., 2012, Evaluating democratic innovations: Curing the democratic malaise?
   Gherghina S, 2017, DEMOCRATIZATION, V24, P613, DOI 10.1080/13510347.2016.1196355
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Hawkins RL, 2010, BRIT J SOC WORK, V40, P1777, DOI 10.1093/bjsw/bcp087
   Jäske M, 2019, EUR J POLIT RES, V58, P603, DOI 10.1111/1475-6765.12304
   Khutkyy Dmytro, 2019, Impact Evaluation of Participatory Budgeting in Ukraine
   Krasynska S, 2017, VOLUNTAS, V28, P420, DOI 10.1007/s11266-016-9819-8
   Levi M., 1998, TRUST GOVERNANCE, P77
   Lichterman P, 2006, THEOR SOC, V35, P529, DOI 10.1007/s11186-006-9017-6
   Lichterman Paul., 1998, QUAL SOCIOL, V21, P401, DOI [10.1023/A:1023380326563, DOI 10.1023/A:1023380326563]
   Lin N., 2000, Social capital: A theory of structure and action
   Lorenz DF, 2013, NAT HAZARDS, V67, P7, DOI 10.1007/s11069-010-9654-y
   Minakov M, 2018, GOVERNMENT-NGO RELATIONSHIPS IN AFRICA, ASIA, EUROPE AND MENA, P155
   Muehlebach Andrea., 2012, The moral neoliberal: Welfare and citizenship in Italy
   Offe Claus., 2010, Democracy and Trust, P42
   Onuch O, 2022, MOBILISE 2022: Ukrainian Nationally Representative Survey (KIIS OMNIBUS). (N=2009)
   Putnam R.D., 2000, BOWLING ALONE COLLAP, DOI 10.1145/358916.361990
   Rast MC, 2020, CURR SOCIOL, V68, P853, DOI 10.1177/0011392119830759
   Ridder H.G., 2016, CASE STUDY RES APPRO
   Rodríguez H, 2006, ANN AM ACAD POLIT SS, V604, P82, DOI 10.1177/0002716205284677
   Schmäeing S, 2024, EUR SOC, V26, P230, DOI 10.1080/14616696.2023.2183972
   Schming Sophie., 2023, Discuss Data
   Stepaniuk N, 2022, WAR IN UKRAINE'S DONBAS, P83
   Stepaniuk N, 2022, NATL PAP, DOI 10.1017/nps.2021.82
   Vaiou D, 2017, CITIZENSHIP STUD, V21, P440, DOI 10.1080/13621025.2017.1307605
   Volodin D, 2019, CONTEMP POLIT, V25, P78, DOI 10.1080/13569775.2018.1544683
   WEIL FD, 1994, CONTEMP SOCIOL, V23, P373, DOI 10.2307/2075319
   Worschech Susan., 2017, Kyiv-Mohyla Law and Politics Journal, V3, P23, DOI DOI 10.18523/KMLPJ119984.2017-3.23-45
   Wuthnow Robert., 2004, SELF SOCIAL STRUCTUR, P145
   Zarembo K, 2024, EUR SOC, V26, P203, DOI 10.1080/14616696.2023.2185652
NR 43
TC 0
Z9 0
U1 0
U2 0
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1060-586X
EI 1938-2855
J9 POST-SOV AFF
JI Post-Sov. Aff.
PD 2025 APR 13
PY 2025
DI 10.1080/1060586X.2025.2491969
EA APR 2025
PG 20
WC Area Studies; Economics; Political Science
WE Social Science Citation Index (SSCI)
SC Area Studies; Business & Economics; Government & Law
GA 1GT3E
UT WOS:001464643000001
DA 2025-04-22
ER

PT J
AU Bakker, J
   Scholten, P
   Fransen, J
   Minkman, E
AF Bakker, Jet
   Scholten, Peter
   Fransen, Jan
   Minkman, Ellen
TI A typology of urban knowledge sharing: from a systematic literature
   review to an integrated model
SO SCIENCE AND PUBLIC POLICY
LA English
DT Article; Early Access
DE knowledge co-creation; urban knowledge transfer; urban knowledge
   exchange; learning; urban
ID POLICY TRANSFER; COPRODUCTION; INNOVATION; DISSEMINATION; RESILIENCE;
   DIFFUSION; BARRIERS; EXCHANGE; SCIENCE; EUROPE
AB This paper provides insight into how the conceptualization of urban knowledge sharing has developed. Based on a structured review and categorization of the literature, we identify three forms of knowledge sharing in and between cities that are distinctly different: knowledge transfer, knowledge exchange, and knowledge co-creation. We find that the three forms have different boosts and barriers, whereby the complexities of knowledge sharing and hence the capacities required of the actors are lowest for knowledge transfer and highest for knowledge co-creation. We would therefore like to qualify the recent emphasis given in literature to co-creation; with its complexities and required capacities, it is not to be considered a panacea for solving all urban problems. We propose a model within which knowledge transfer and exchange are more suitable for less wicked problems and may sometimes fruitfully reduce complexities.
C1 [Bakker, Jet] BugelHajema Consultants, Utrechtseweg 7, NL-3811 NA Amersfoort, Netherlands.
   [Scholten, Peter; Fransen, Jan] Erasmus Univ, Inst Housing & Urban Dev Studies, POB 1935, NL-3000 BX Rotterdam, Netherlands.
   [Minkman, Ellen] Fac Technol Policy & Management, Dept Org & Governance, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC; Delft University of Technology
RP Scholten, P (corresponding author), Erasmus Univ, Inst Housing & Urban Dev Studies, POB 1935, NL-3000 BX Rotterdam, Netherlands.
EM scholten@ihs.nl
RI Fransen, Jan/AGZ-8534-2022
OI Fransen, Jan/0000-0003-1127-7307
CR Alford J, 2017, POLICY SOC, V36, P397, DOI 10.1080/14494035.2017.1361634
   Angehrn A. A., 2012, Intellectual Capital for Communities, P299
   Angus A, 2008, IEEE PERVAS COMPUT, V7, P44, DOI 10.1109/MPRV.2008.84
   Azizi B, 2017, REV ADM DIALOGO, V19, P164, DOI 10.20946/rad.v19i1.32657
   Berg S., 2012, 28 ANN C ASS RES CON
   Bettencourt LMA, 2013, SCIENCE, V340, P1438, DOI 10.1126/science.1235823
   Bhutta K.S., 1999, Benchmarking Int. J, V6, P254, DOI [DOI 10.1108/14635779910289261, 10.1108/14635779910289261]
   Bickel MW, 2020, J CLEAN PROD, V277, DOI 10.1016/j.jclepro.2020.123628
   Brenner N., 2009, CITY ANAL URBAN TREN, V13, P198, DOI DOI 10.1080/13604810902996466
   Briggs J., 2005, Progress in Development Studies, V5, P99, DOI [DOI 10.1191/1464993405PS105OA, 10.1191/1464993405ps105oa]
   Cabitza F., 2014, P 2014 INT WORK C AD
   Campbell LK, 2016, ENVIRON MANAGE, V57, P1262, DOI 10.1007/s00267-016-0680-8
   Cao Q. H., 2016, 2016 IEEE INT C COMM, P1
   Chammas G, 2020, WASTE MANAGE, V107, P159, DOI 10.1016/j.wasman.2020.03.043
   Dabrowski M, 2019, URBAN PLAN, V4, P52, DOI 10.17645/up.v4i3.2162
   De Jong M, 2007, EUR PLAN STUD, V15, P687, DOI 10.1080/09654310701213996
   Del Giudice M, 2015, J KNOWL MANAG, V19, P611, DOI 10.1108/JKM-02-2015-0047
   Finnegan D, 2006, J ENTERP INF MANAG, V19, P568, DOI 10.1108/17410390610708472
   Foth M, 2007, PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INTELLECTUAL CAPITAL, KNOWLEDGE MANAGEMENT AND ORGANISATIONAL LEARNING, P127
   Fransen J., 2021, Urban Planning, Management and Governance in Emerging Economies, P1
   Gagnon ML, 2011, J CLIN EPIDEMIOL, V64, P25, DOI 10.1016/j.jclinepi.2009.08.013
   Gantner E, 2017, J URBAN HIST, V43, P602, DOI 10.1177/0096144217705344
   Gantner E, 2017, J URBAN HIST, V43, P575, DOI 10.1177/0096144217705348
   Gebhardt L, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247223
   Geldin S, 2019, ENVIRON URBAN, V31, P13, DOI 10.1177/0956247818776532
   Glaser M, 2021, RES TRANSP BUS MANAG, V39, DOI 10.1016/j.rtbm.2020.100531
   Greyling S, 2017, LOCAL ENVIRON, V22, P52, DOI 10.1080/13549839.2016.1223621
   Guentner S, 2015, EUR J SOC WORK, V18, P511, DOI 10.1080/13691457.2015.1049587
   Gul S., 2020, International Review of Management and Business Research, V9, P270
   Hájková V, 2014, CITIES, V40, P11, DOI 10.1016/j.cities.2014.04.001
   Hazir CS, 2014, ANN REGIONAL SCI, V53, P369, DOI 10.1007/s00168-014-0606-4
   Hegger D, 2014, REG ENVIRON CHANGE, V14, P1049, DOI 10.1007/s10113-012-0382-6
   Hunt J, 1999, MINERVA, V37, P141, DOI 10.1023/A:1004696104081
   Johnson R, 2018, BMC HEALTH SERV RES, V18, DOI 10.1186/s12913-017-2770-6
   Kane L, 2018, CLIM POLICY, V18, P1177, DOI 10.1080/14693062.2017.1421520
   Khirfan L, 2013, GEOFORUM, V50, P1, DOI 10.1016/j.geoforum.2013.07.007
   KNOTT J, 1980, KNOWLEDGE, V1, P537, DOI 10.1177/107554708000100404
   Knowledge, 2021, Cambridge Dictionary '
   Kuhn J, 2021, TOWN REG PLAN, V79, P2, DOI 10.18820/2415-0495/trp79i1.2
   Laitinen I, 2016, INT J KNOWL-BASED DE, V7, P184, DOI 10.1504/IJKBD.2016.076462
   Leonard D, 1998, CALIF MANAGE REV, V40, P112, DOI 10.2307/41165946
   Liu DH, 2007, ADV INTEL SYS RES, DOI 10.2991/iske.2007.227
   Magnussen R, 2019, ELECTRON J E-LEARN, V17, P222, DOI 10.34190/JEL.17.3.005
   Mahmoud I., 2021, Guidelines for Performing Systematic Literature Reviews in Software Engineering
   Martins JT, 2017, KNOWL PROCESS MANAG, V24, P269, DOI 10.1002/kpm.1546
   Mazzucato M, 2018, IND CORP CHANGE, V27, P803, DOI 10.1093/icc/dty034
   Menny M, 2018, GAIA, V27, P68, DOI 10.14512/gaia.27.S1.14
   Michaels S, 2009, ENVIRON SCI POLICY, V12, P994, DOI 10.1016/j.envsci.2009.05.002
   Minkman E, 2018, POLICY STUD-UK, V39, P222, DOI 10.1080/01442872.2018.1451503
   Monnard K, 2021, HEALTH PROMOT PRACT, V22, P215, DOI 10.1177/1524839919865228
   Muñoz-Erickson TA, 2014, ENVIRON SCI POLICY, V37, P182, DOI 10.1016/j.envsci.2013.09.014
   Nagendra H, 2018, NAT SUSTAIN, V1, P341, DOI 10.1038/s41893-018-0101-5
   Ncoyini SS, 2020, SA J HUM RESOUR MANA, V18, DOI 10.4102/sajhrm.v18i0.1147
   Nikulina V, 2019, FUTURES, V113, DOI 10.1016/j.futures.2019.102442
   NONAKA I, 1994, ORGAN SCI, V5, P14, DOI 10.1287/orsc.5.1.14
   O'Hagan S.B., 2002, Geografiska Annaler, Series B: Human Geography, V84, P49
   OBERMEYER NJ, 1990, COMPUT ENVIRON URBAN, V14, P261, DOI 10.1016/0198-9715(90)90001-A
   Okoli C, 2015, COMMUN ASSOC INF SYS, V37, P879
   Patel S., 2014, The Routledge Handbook on Cities of the Global South, P59
   Petersén AC, 2015, BRIT J SOC WORK, V45, P1581, DOI 10.1093/bjsw/bcu020
   Pham QT, 2020, INT J INNOV, V8, P392, DOI 10.5585/iji.v8i3.16059
   Ramsey MM, 2019, ENVIRON SCI POLICY, V99, P48, DOI 10.1016/j.envsci.2019.04.013
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Stollmann J, 2016, BUILD RES INF, V44, P737, DOI 10.1080/09613218.2016.1217386
   Stone D, 2020, POLICY SOC, V39, P1, DOI 10.1080/14494035.2019.1619325
   Teirlinck P, 2018, R&D MANAGE, V48, P343, DOI 10.1111/radm.12311
   Tong Y., 2010, 2010 INT C MAN SERV, P1
   Tonkinwise C., 2015, Design Philosophy Papers, V13, P85, DOI DOI 10.1080/14487136.2015.1085686
   Trencher G, 2016, HEXAG SER HUM ENVIRO, V10, P631, DOI 10.1007/978-3-319-43884-9_30
   Trencher G, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9040594
   Valkering P, 2013, J CLEAN PROD, V49, P85, DOI 10.1016/j.jclepro.2012.09.010
   van der Hel S, 2016, ENVIRON SCI POLICY, V61, P165, DOI 10.1016/j.envsci.2016.03.012
   Van Ewijk E, 2012, TIJDSCHR ECON SOC GE, V103, P101, DOI 10.1111/j.1467-9663.2011.00698.x
   Verwaal E, 2017, J WORLD BUS, V52, P17, DOI 10.1016/j.jwb.2016.10.004
   Xiao Y, 2019, J PLAN EDUC RES, V39, P93, DOI 10.1177/0739456X17723971
   Zahra SA, 2002, INFORM SYST RES, V13, P147, DOI 10.1287/isre.13.2.147.90
NR 76
TC 1
Z9 1
U1 5
U2 16
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0302-3427
EI 1471-5430
J9 SCI PUBL POLICY
JI Sci. Public Policy
PD 2024 APR 11
PY 2024
DI 10.1093/scipol/scae008
EA APR 2024
PG 14
WC Environmental Studies; Management; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Business & Economics; Public
   Administration
GA NI4G3
UT WOS:001199805000001
OA hybrid
DA 2025-04-22
ER

PT J
AU Tu, L
   Marzouk, S
   Dowdell, KN
   Stanford, FC
AF Tu, Lucy
   Marzouk, Sammer
   Dowdell, Kimberly N.
   Stanford, Fatima Cody
TI Reimagining Urban Spaces: Green Spaces, Obesity, and Health Resilience
   in an Era of Extreme Heat
SO JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE
LA English
DT Article
DE Obesity; Green spaces; Urban health; Environmental health; Health equity
AB Record-breaking heat waves intensified by climate change pose both environmental and health threats, necessitating a balance between urban sustainability and well-being. Extreme heat and limited green space access are drivers of obesity prevalence, with decreased proximity to green spaces correlating with higher rates of obesity in nearby communities. In contrast, access to such green spaces fosters physical activity, well-being, and community cohesion, especially crucial in marginalized communities facing health disparities due to historical policies like redlining and underinvestment in social gathering spaces. Despite challenges, green space investment offers healthcare savings and environmental gains, necessitating a shift in perception towards viewing green spaces as essential for urban living. As heat waves persist, integrating health and sustainability in urban planning is paramount. Health and medical communities must play an active role in advocating for equitable access to urban green spaces, as they possess influential positions to address climate-related health disparities through localized advocacy.
C1 [Tu, Lucy] Harvard Univ, Dept Sociol, Cambridge, MA USA.
   [Tu, Lucy] Harvard Univ, Dept Hist Sci, Cambridge, MA USA.
   [Marzouk, Sammer] Northwestern Feinberg Sch Med, Dept Med, Chicago, IL USA.
   [Dowdell, Kimberly N.] Amer Inst Architects AIA, HOK Architects, Chicago, IL USA.
   [Stanford, Fatima Cody] Massachusetts Gen Hosp, MGH Weight Ctr, Dept Med, Div Endocrinol Neuroendocrine, Boston, MA 02114 USA.
   [Stanford, Fatima Cody] Massachusetts Gen Hosp, Nutr Obes Res Ctr Harvard NORCH, Dept Pediat, Div Endocrinol, Boston, MA USA.
C3 Harvard University; Harvard University; Northwestern University;
   Feinberg School of Medicine; Harvard University; Harvard University
   Medical Affiliates; Massachusetts General Hospital; Harvard University;
   Harvard University Medical Affiliates; Massachusetts General Hospital
RP Stanford, FC (corresponding author), Massachusetts Gen Hosp, MGH Weight Ctr, Dept Med, Div Endocrinol Neuroendocrine, Boston, MA 02114 USA.
EM fstanford@mgh.harvard.edu
RI Stanford, Fatima/H-3953-2019
OI Stanford, Fatima/0000-0003-4616-533X
FU Foundation for the National Institutes of Health
FX The authors would like to thank Dr. Andrew M. Ibrahim (HOK Architects,
   University of Michigan, Ann Arbor, MI) for his valuable insights on
   health and urban planning related to this work.
CR Alhasan Dana M, 2023, Endocr Metab Sci, V11, DOI 10.1016/j.endmts.2023.100129
   [Anonymous], 2023, Biden-Harris administration announces availability of Inflation Reduction Act funding for climate-smart agriculture nationwide
   Cartier K M. S., 2022, Eos
   Dehghan H, 2013, INT J PREVENTIVE MED, V4, P1147
   Fakhouri Tala H I, 2012, NCHS Data Brief, P1
   Hoover Fushcia-Ann, 2021, Socioecol Pract Res, V3, P55, DOI 10.1007/s42532-020-00070-3
   Kendrick KN, 2023, ENDOCRIN METAB CLIN, V52, P617, DOI 10.1016/j.ecl.2023.05.003
   Kim J, 2021, J PREV MED PUBLIC HL, V54, P208, DOI 10.3961/jpmph.20.625
   Manware M, 2022, GEOHEALTH, V6, DOI 10.1029/2022GH000695
   Newman GD, 2016, J URBAN DES, V21, P302, DOI 10.1080/13574809.2016.1167589
   Pope D, 2018, EUR J PUBLIC HEALTH, V28, P35, DOI [10.1093/eurpub/ckv094, 10.1093/eurpub/ckx217]
   South EC, 2018, JAMA NETW OPEN, V1, DOI 10.1001/jamanetworkopen.2018.0298
   Townsend MJ, 2022, AM J PREV MED, V63, P513, DOI 10.1016/j.amepre.2022.04.003
   Urban Heat Hot Spots, 2023, CLIMATE CENTRAL
   Washington TB, 2023, GASTROENTEROL CLIN N, V52, P429, DOI 10.1016/j.gtc.2023.02.003
NR 15
TC 2
Z9 3
U1 20
U2 42
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1099-3460
EI 1468-2869
J9 J URBAN HEALTH
JI J. Urban Health
PD APR
PY 2024
VL 101
IS 2
BP 344
EP 348
DI 10.1007/s11524-024-00834-2
EA MAR 2024
PG 5
WC Public, Environmental & Occupational Health; Medicine, General &
   Internal
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health; General & Internal Medicine
GA OU1W6
UT WOS:001174267600001
PM 38441853
DA 2025-04-22
ER

PT J
AU Liu, KZ
   Zhai, CH
   Dong, Y
AF Liu, Kezhi
   Zhai, Changhai
   Dong, You
TI Optimal restoration schedules of transportation network considering
   resilience
SO STRUCTURE AND INFRASTRUCTURE ENGINEERING
LA English
DT Article
DE Decision making; transportation network; optimisation models;
   resilience; disaster engineering; post-disaster; restoration scheduling
ID SEISMIC RESILIENCE; RECOVERY; EARTHQUAKE; FRAMEWORK; ALGORITHM
AB Transportation network is of vital importance for city maintaining and reconstruction especially after extreme events. Decisions on the restoration plan of transportation network have to be made in a short period after event, but taking into account various decision-making criteria and resource constraints. This paper explains the essential problems in network restoration scheduling, and presents a novel resilience-based optimisation model for post-disaster urban transportation network restoration. The proposed method could obtain a set of general optimal restoration schedules in an efficient manner, so that decision-makers could make a final choice by weighting other preferences and experience. In the methodology, a new travel speed-based metric is introduced for performance assessment of transportation network, and three normalised independent indicators are developed to characterise network resilience from the perspective of functionality curve. Furthermore, a bi-objective optimisation model based on the recovery trajectory is recommended to search for non-dominated optimal restoration schedules. To illustrate the proposed method, heuristic algorithms are used to solve the restoration schedule optimisation problem of a hypothetical transportation network.
C1 [Liu, Kezhi; Zhai, Changhai] Harbin Inst Technol, Minist Educ, Key Lab Struct Dynam Behav & Control, Harbin, Peoples R China.
   [Liu, Kezhi; Zhai, Changhai] Harbin Inst Technol, Minist Ind & Informat Technol, Key Lab Smart Prevent & Mitigat Civil Engn Disast, Harbin, Peoples R China.
   [Dong, You] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China.
C3 Harbin Institute of Technology; Harbin Institute of Technology; Hong
   Kong Polytechnic University
RP Zhai, CH (corresponding author), Harbin Inst Technol, Minist Educ, Key Lab Struct Dynam Behav & Control, Harbin, Peoples R China.; Zhai, CH (corresponding author), Harbin Inst Technol, Minist Ind & Informat Technol, Key Lab Smart Prevent & Mitigat Civil Engn Disast, Harbin, Peoples R China.
EM zch-hit@hit.edu.cn
RI Liu, Guijian/M-9597-2014; Wang, Xinyue/KLZ-4064-2024; Dong,
   You/A-2305-2017
FU National Key R&D Program of China [2018YFC1504301]; National Natural
   Science Foundation of China [51825801, 51938004, 51708161]
FX This work was supported by the National Key R&D Program of China (No.
   2018YFC1504301), and the National Natural Science Foundation of China
   (No. 51825801, 51938004 and 51708161).
CR Bocchini P., 2013, SAFETY RELIABILITY R
   Bocchini P, 2012, EARTHQ SPECTRA, V28, P427, DOI 10.1193/1.4000019
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Casey H., 1955, TRAFFIC Q, V9
   Chang L, 2012, STRUCT INFRASTRUCT E, V8, P893, DOI 10.1080/15732479.2011.574810
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chang SE, 2001, TRANSPORT RES A-POL, V35, P475, DOI 10.1016/S0965-8564(00)00003-3
   CHENG TCE, 1990, EUR J OPER RES, V47, P271, DOI 10.1016/0377-2217(90)90215-W
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cimellaro GP, 2016, GEOTECH GEOL EARTHQ, V41, P1, DOI 10.1007/978-3-319-30656-8
   Deb K., 2000, Parallel Problem Solving from Nature PPSN VI. 6th International Conference. Proceedings (Lecture Notes in Computer Science Vol.1917), P849
   Dong Y, 2014, J EARTHQ ENG, V18, P41, DOI 10.1080/13632469.2013.841600
   Donovan B, 2017, TRANSPORT RES C-EMER, V79, P333, DOI 10.1016/j.trc.2017.03.002
   FEMA, 2012, HAZUSMH21 FEMA
   Fragkakis N. P., 2004, TECH CHRON SCIENCE J, V1, P24
   Frangopol DM, 2012, STRUCT INFRASTRUCT E, V8, P341, DOI 10.1080/15732479.2011.563089
   Gibbons Alan, 1985, Algorithmic Graph Theory
   GOKCE HB, 2011, STRUCT C 2011, P114, DOI DOI 10.3141/2251-12
   Gonçalves JF, 2005, EUR J OPER RES, V167, P77, DOI 10.1016/j.ejor.2004.03.012
   Grubesic TH, 2008, INT REGIONAL SCI REV, V31, P88, DOI 10.1177/0160017607308679
   Guidotti R, 2017, STRUCT SAF, V65, P12, DOI 10.1016/j.strusafe.2016.12.001
   Guo AX, 2017, STRUCT INFRASTRUCT E, V13, P1523, DOI 10.1080/15732479.2017.1299770
   He RL, 2015, J BRIDGE ENG, V20, DOI 10.1061/(ASCE)BE.1943-5592.0000760
   Holland J.H., 1984, ADAPTIVE CONTROL ILL, P317, DOI [DOI 10.1007/978-1-4684-8941-521, 10.1007/978-1-4684-8941-521, DOI 10.1007/978-1-4684-8941-5_21]
   Isayama K, 2014, DISAST RISK REDUCT, P91, DOI 10.1007/978-4-431-54246-9_6
   Kang WH, 2008, RELIAB ENG SYST SAFE, V93, P1584, DOI 10.1016/j.ress.2008.02.011
   Karamlou A, 2016, ENG STRUCT, V117, P591, DOI 10.1016/j.engstruct.2016.03.038
   Kilanitis I, 2019, B EARTHQ ENG, V17, P181, DOI 10.1007/s10518-018-0457-y
   Kim S, 2016, PROCD SOC BEHV, V218, P13, DOI 10.1016/j.sbspro.2016.04.006
   Ludlow J, 1975, The Delphi method techniques and applications2002
   Martin W. A., 1998, TRAVEL ESTIMATION TE, V365
   Miles SB, 2006, EARTHQ SPECTRA, V22, P439, DOI 10.1193/1.2192847
   Nocera F., 2019, ROUTLEDGE HDB SUSTAI
   Ouyang M, 2017, COMPUT-AIDED CIV INF, V32, P909, DOI 10.1111/mice.12252
   Saaty T.L., 1988, What Is the Analytic Hierarchy Process
   Sharma N., 2019, ROUTLEDGE HDB SUSTAI
   Sharma N, 2018, SUSTAIN RESIL INFRAS, V3, P49, DOI 10.1080/23789689.2017.1345257
   Shinozuka M., 2006, 3 INT C BRIDG MAINT, DOI 10.1201/b18175-8
   Shinozuka M., 2000, EARTHQ SPECTRA, V16, P557, DOI DOI 10.1193/1.1586127
   Singh Gurharpal, 1999, PUNJABI IDENTITY GLO, P1
   Twumasi-Boakye R., 2019, SUSTAIN RESIL INFRAS, V4, DOI 10.1080/23789689.2019.1605754
   Unal M, 2017, EARTHQ SPECTRA, V33, P781, DOI 10.1193/011416EQS014M
   Wardrop J. G., 1952, P I CIVIL ENG, V1, DOI 10.1680/ipeds.1952.11259
   Yajima K., 1980, OPTIMIZATION TECHNIQ
   Yuan YF, 2008, EARTHQ ENG ENG VIB, V7, P247, DOI 10.1007/s11803-008-0893-9
   Zhang WL, 2017, STRUCT INFRASTRUCT E, V13, P1404, DOI 10.1080/15732479.2016.1271813
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zhou YW, 2010, STRUCT INFRASTRUCT E, V6, P145, DOI 10.1080/15732470802663862
NR 49
TC 48
Z9 50
U1 22
U2 131
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-2479
EI 1744-8980
J9 STRUCT INFRASTRUCT E
JI Struct. Infrastruct. Eng.
PD JUL 6
PY 2021
VL 17
IS 8
BP 1141
EP 1154
DI 10.1080/15732479.2020.1801764
EA AUG 2020
PG 14
WC Engineering, Civil; Engineering, Mechanical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA TE0KI
UT WOS:000558000600001
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Ramachandran, V
   Long, SK
   Shoberg, T
   Corns, S
   Carlo, HJ
AF Ramachandran, V.
   Long, S. K.
   Shoberg, T.
   Corns, S.
   Carlo, H. J.
TI Framework for Modeling Urban Restoration Resilience Time in the
   Aftermath of an Extreme Event
SO NATURAL HAZARDS REVIEW
LA English
DT Article
DE Resilience time; Tornado; Geographic information system (GIS); Supply
   chain; Restoration
ID INFRASTRUCTURE; FAILURE
AB The impacts of extreme events continue long after the emergency response has terminated. Effective reconstruction of supply-chain strategic infrastructure (SCSI) elements is essential for postevent recovery and the reconnectivity of a region with the outside. This study uses an interdisciplinary approach to develop a comprehensive framework to model resilience time. The framework is tested by comparing resilience time results for a simulated EF-5 tornado with ground truth data from the tornado that devastated Joplin, Missouri, on May 22, 2011. Data for the simulated tornado were derived for Overland Park, Johnson County, Kansas, in the greater Kansas City, Missouri, area. Given the simulated tornado, a combinatorial graph considering the damages in terms of interconnectivity between different SCSI elements is derived. Reconstruction in the aftermath of the simulated tornado is optimized using the proposed framework to promote a rapid recovery of the SCSI. This research shows promising results when compared with the independent quantifiable data obtained from Joplin, Missouri, returning a resilience time of 22 days compared with 25 days reported by city and state officials (C) 2015 American Society of Civil Engineers.
C1 [Ramachandran, V.; Long, S. K.; Corns, S.] Missouri Univ Sci & Technol, Dept Engn Management & Syst Engn, Rolla, MO 65409 USA.
   [Shoberg, T.] US Geol Survey, Ctr Excellence Geospatial Informat Sci, Rolla, MO 65401 USA.
   [Carlo, H. J.] Univ Puerto Rico, Dept Ind Engn, Mayaguez, PR 00681 USA.
C3 University of Missouri System; Missouri University of Science &
   Technology; United States Department of the Interior; United States
   Geological Survey; University of Puerto Rico; University of Puerto Rico
   Mayaguez
RP Long, SK (corresponding author), Missouri Univ Sci & Technol, Dept Engn Management & Syst Engn, Rolla, MO 65409 USA.
EM vrnq5@mail.mst.edu; longsuz@mst.edu; tshoberg@usgs.gov; cornss@mst.edu;
   hector.carlo@upr.edu
RI Carlo, Hector/B-1631-2012; Long, Suzanna/MGU-5017-2025
OI Carlo, Hector/0000-0003-4297-085X; Corns, Steven/0000-0002-3685-2892;
   Long, Suzanna/0000-0001-6589-5528
FU U.S. Geological Survey [G13AC00028]
FX Partial funding for this research is provided through U.S. Geological
   Survey award number G13AC00028. We thank Mr. George Mues, Ameren UE, and
   Mr. Tom Broaders, Metropolitan St. Louis Sewer District, for providing
   important information on the prioritization of SCSI elements and the
   repair rate of damaged elements. We also wish to thank Mr. Mike
   Middleton, Missouri Department of Transportation (MoDOT), and Mr. Jack
   Shaller, former Assistant Public Works Director of the city of Joplin,
   Missouri, for the reconstruction statistics for Joplin, Missouri.
   Finally, we thank Mr. Michael Finn and Dr. E. Lynn Usery, U.S.
   Geological Survey, and Dr. Ruwen Qin, Missouri University of Science and
   Technology, for their reviews of the manuscript.
CR Altay N, 2006, EUR J OPER RES, V175, P475, DOI 10.1016/j.ejor.2005.05.016
   [Anonymous], 2006, National infrastructure protection plan
   [Anonymous], EMPLOYMENT RELAT TOD
   [Anonymous], MIT ASS TEAM REP SPR
   [Anonymous], 6 US C WORKSH LIF EA
   [Anonymous], 10 WORLD C BALK ROTT
   [Anonymous], 2000, INTRO GRAPH THEORY
   [Anonymous], TRISTATE TORNADO STO
   [Anonymous], FEMAS INITIAL RESPON
   [Anonymous], NETWORK
   [Anonymous], GIS SYST KANS CIT OF
   [Anonymous], NAT HAZARDS REV
   [Anonymous], GIS DAT CTR
   [Anonymous], 2006, Resilience Engineering
   [Anonymous], GEN CIRC MOD OUTP DA
   [Anonymous], 1976, GRAPH THEORY APPL
   Ballantyne D.B., 1990, Earthquake loss estimation modeling of the Seattle water system
   Berke P, 2012, NAT HAZARDS REV, V13, P139, DOI 10.1061/(ASCE)NH.1527-6996.0000063
   Bluestein HowardB., 2006, Tornado Alley : Monster Storms of the Great Plains / Howard B. Bluestein
   Boin A, 2010, INT J PROD ECON, V126, P1, DOI 10.1016/j.ijpe.2010.01.020
   Chopra S., 2007, SUPPLY CHAIN MANAGEM
   COMFORT LK., 2001, Journal of contingencies and crisis management, V9, P144
   Cook R. I., 2006, RESILIENCE ENG CONCE
   Dekker S., 2008, Resilience engineering: New directions for measuring and maintaining safety in complex systems, V1, P1
   Feng CM, 2005, PROC E ASIA SOC TRAN, V5, P1408
   Gailey D., 2002, Tornado Damage Assessment Report, forest Service - Southern Region Department of Natural Reserves
   Gordon T., 2011, Cultivating a State of Readiness
   Grazulis T.P., 2001, TORNADO NATURES ULTI
   Gregg C., 2011, The Response to the 2011 Joplin, Missouri
   Hale T., 2005, International Journal of Physical Distribution & Logistics Management, V35, P195, DOI 10.1108/09600030510594576
   Hasson F, 2000, J ADV NURS, V32, P1008, DOI 10.1046/j.1365-2648.2000.01567.x
   Hernandez-Fajardo I, 2011, EARTHQ SPECTRA, V27, P23, DOI 10.1193/1.3544052
   Horner MW, 2011, NAT HAZARDS, V59, P1619, DOI 10.1007/s11069-011-9855-z
   Jackson T., 2012, Emergency Relief Program
   Kelley J.E. J., 1963, Industrial Scheduling, P347
   Kondaveti R, 2009, IEEE ENG MED BIO, P3425, DOI 10.1109/IEMBS.2009.5332498
   Lindell M. K., 2003, Natural Hazards Review, V4, P176, DOI 10.1061/(ASCE)1527-6988(2005)6:4(171)
   McDaniels T, 2007, J INFRASTRUCT SYST, V13, P175, DOI 10.1061/(ASCE)1076-0342(2007)13:3(175)
   Miller D., 2007, Translines, P8
   O'Rourke T.D., 2007, Bridge-Washington-National Academy of Engineering, V37, P22
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Pant R, 2014, RELIAB ENG SYST SAFE, V125, P92, DOI 10.1016/j.ress.2013.09.007
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Rosenthal U., 1989, COPING CRISES MANAGE
   Tamvakis P, 2013, PROCD SOC BEHV, V74, P339, DOI 10.1016/j.sbspro.2013.03.030
   United States Census Bureau, 2010, 2010 CENS
NR 46
TC 22
Z9 23
U1 1
U2 37
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
J9 NAT HAZARDS REV
JI Nat. Hazards Rev.
PD NOV
PY 2015
VL 16
IS 4
AR UNSP 04015005
DI 10.1061/(ASCE)NH.1527-6996.0000184
PG 11
WC Engineering, Civil; Environmental Studies; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
GA CT8TR
UT WOS:000363089900011
DA 2025-04-22
ER

PT J
AU Harte, EW
   Childs, IRW
   Hastings, PA
AF Harte, E. Wendy
   Childs, Iraphne R. W.
   Hastings, Peter A.
TI Imizamo Yethu: a Case Study of Community Resilience to Fire Hazard in an
   Informal Settlement Cape Town, South Africa
SO GEOGRAPHICAL RESEARCH
LA English
DT Article
DE informal settlements; fire hazards; resilience; South Africa; Imizamo
   Yethu; adaptive capacity
AB Imizamo Yethu, in Cape Town, is one of the many informal settlements in South Africa's post-Apartheid Urban landscape. Residents live in abject poverty and are potentially vulnerable to a range of environmental hazards, of which fire hazard is one of the most common. A major fire, on the 8 February 2004. caused significant damage to housing and infrastructure, resulting in widespread homelessness and loss of personal possessions. Despite this, there was minimal loss of life and few major injuries. The community re-grouped after the fire and Imizamo Yethu has remained viable as a community to the present day. Contemporary geographical research oil hazards emphasises aspects of community vulnerability and resilience. The present paper identifies and examines factors that enhance community resilience in the informal settlement of Imizamo Yethu, particularly in response and recovery to tire events. A Survey completed in the aftermath of the 2004 fire found that social networks, some formal community institutions that foster community participation and the resourcefulness of individuals were the most important factors Underpinning resilience.
C1 [Harte, E. Wendy; Childs, Iraphne R. W.; Hastings, Peter A.] Queensland Univ Technol, Humanities Program, Brisbane, Qld 4001, Australia.
C3 Queensland University of Technology (QUT)
RP Harte, EW (corresponding author), Queensland Univ Technol, Humanities Program, GPO Box 2434, Brisbane, Qld 4001, Australia.
EM w.harte@qut.edu.au
CR *AFR NAT C, 2004, MAPS S AFR PROV MAP
   [Anonymous], 2003, CHALL SLUMS GLOB REP
   APRIL W, 2006, CAPE TIMES      0828, P3
   BAILEY C, 2006, CAPE ARGUS      1109, P5
   Blaikie P., 1994, RISK NATURAL HAZARDS
   Bond P., 1997, URBAN FORUM, V8, P19, DOI DOI 10.1007/BF03036607
   Buckle P., 2000, AUST J EMERG MANAG, V15, P8, DOI 10.3316/ielapa.369155833780624
   BUCKLE P, 2000, GUIDELINES ASSESSING
   Buckle P., 2001, ASSESSING RESILIENCE
   Burgess R., 1997, CHALLENGE SUSTAINABL
   CAMPBELL JR, 1997, DISASTERS DEV SESSIO, P53
   *CAP TOWN CIT COUN, 2006, CIT CAP TOWN ANN REP
   CARDONA O, 2005, ADV STRATEGIES I DEV
   Cunnan P., 2000, Development Southern Africa, V17, P667
   DAUSCH D, 1993, REFRACT CORNEAL SURG, V9, P419
   Dewar D, 1995, THIRD WORLD PLAN REV, V17, P407
   Dewar N., 2001, South African Geographical Journal, V83, P48, DOI DOI 10.1080/03736245.2001.9713718
   *DIMP, 2005, INT WORKSH COMM RISK
   DOLLEY C, 2006, CAPE TIMES      0612, P3
   Drakakis-Smith D., 1992, Urban and Regional Change in South Africa
   DREYER N, 2004, CAPE TIMES      0209, P1
   Escobar A., 1995, ENCOUNTERING DEV MAK
   *ESF N AERUS, 2001, COP INF ILL HUM SETT
   FENI Z, 2007, CAPE ARGUS      0129
   GAWITH M, 1996, FRAMEWORK INTE UNPUB
   GEDULD S, 2003, CAPE ARGUS      0915
   GOPHE M, 2004, CAPE ARGUS      0303, P11
   Gugler Josef., 2004, World Cities Beyond the West: Globalization, Development, and Inequality
   Handmer J., 2003, AUST J EMERG MANAG, V18, P55
   Handmer J, 2006, AUST J EMERG MANAG, V21, P8
   HARTE EW, 2006, P SOC CHANG 21 CENT
   HARTE EW, 2005, COMMUNITY RESI UNPUB
   HAWKER D, 2007, CAPE ARGUS      0514, P4
   Hay I., 2000, QUALITATIVE RES METH
   *IFRC RED CRESC SO, 2004, SOC VULN CAP AN GEN
   JAQUEMET I, 2002, WORLD DISASTERS REPO, pCH6
   JOSEPH N, 2006, CAPE ARGUS
   KELROECOOKE G, 2007, CAPE ARGUS      0125, P24
   KEMP Y, 2004, CAPE ARGUS      0209, P1
   KING D, 2003, AUSTR DIS C 2003 CAN
   King D, 2007, NAT HAZARDS, V40, P657, DOI 10.1007/s11069-006-9016-y
   Kuban R., 2001, COMMUNITY WIDE VULNE
   Lohnert B., 1998, S AFR GEOGR J, V80, P86
   MACATOL IC, 1999, AUST J EMERG MANAG, V14, P33
   MACGREGOR H, 2005, COMMUNITY RISK ASSES
   MAHARAJ B, 1994, GEOFORUM, V25, P19, DOI 10.1016/0016-7185(94)90003-5
   Maharaj Brij., 2002, South African Geographical Journal, V84, P88, DOI DOI 10.1080/03736245.2002.9713759
   MAKINANA A, 2003, CAPE ARGUS      0103
   *PAL RED CRESC SOC, 2001, PART ACT RES STUD VU
   PARNELL S, 2006, MAKING GLOBAL CITIES
   *PROVENTION CONS, 2007, COMM RISK ASS METH C
   *PUBL HOUS DIR, 2004, IM YETH DEL DEV AR A
   PUGH C, 1995, CITIES, V12, P381, DOI 10.1016/0264-2751(95)00083-X
   Rakodi C., 2002, Urban Livelihoods: A people-centered approach to reducing poverty
   Rakodi C., 1997, URBAN CHALLENGE AFRI
   RAMBALLI K, 1997, CON SAS C LAND SURV
   RANG A, 2005, CAPE ARGUS       111
   REID P, 2005, INT WORKSH COMM RISK, P16
   ROGERSON J, 1992, GEOGRAPHY CHANGING S
   SAFF G, 1994, INT J URBAN REGIONAL, V18, P377, DOI 10.1111/j.1468-2427.1994.tb00274.x
   Saff G, 1996, ANN ASSOC AM GEOGR, V86, P235, DOI 10.1111/j.1467-8306.1996.tb01752.x
   SALIE I, 2005, CAPE ARGUS      0403, P2
   *SAPA, 2007, ZILL UNV SQUATT UPGR
   SEGBERS K, 2008, MAKING GLOBAL CITIES
   Shaw R., 2003, The Australian Journal of Emergency Management, V18, P28
   Skuse A, 2007, URBAN STUD, V44, P979, DOI 10.1080/00420980701256021
   Smith DavidM., 1992, APARTHEID CITY
   *STAT S AFR, 2003, S AFR CENS 2001
   *U CAP TOWN, 2004, 08022004 U CAP TOWN
   *UN, 2004, INT STRAT DIS RED TE
   VANDERFORT F, 2006, CAPE ARGUS      0416
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   WITBOOI M, 2007, CAPE ARGUS      0125, P4
   Yates L., 2004, Australian Journal of Emergency Management, V19, P16
   ZILLE H, 2007, MAIL GUARDIAN O 0305
   2006, CAPE ARGUS      0324
NR 76
TC 33
Z9 37
U1 2
U2 26
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1745-5863
EI 1745-5871
J9 GEOGR RES-AUST
JI Geogr. Res.
PD JUN
PY 2009
VL 47
IS 2
BP 142
EP 154
DI 10.1111/j.1745-5871.2008.00561.x
PG 13
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 473DO
UT WOS:000268185900004
DA 2025-04-22
ER

PT J
AU Tzavella, K
   Fekete, A
   Fiedrich, F
AF Tzavella, Katerina
   Fekete, Alexander
   Fiedrich, Frank
TI Opportunities provided by geographic information systems and volunteered
   geographic information for a timely emergency response during flood
   events in Cologne, Germany
SO NATURAL HAZARDS
LA English
DT Article
DE Emergency management; Flood; Network analysis; Civil protection; Urban
   resilience; Critical infrastructures; Volunteered geographic information
ID RISK-MANAGEMENT; ROAD NETWORK; VULNERABILITY; EXPOSURE
AB The occurrence of disasters such as extreme flooding in urban environments has severe consequences, not only on the human population but also on critical infrastructures such as the road networks, which are of vital importance for everyday living and particularly for emergency response. In this article, our main goal is to present-conceptually and in praxis-a model that could be used from the emergency responders for timely and efficient emergency management and response in an urban complex environment. For the city of Cologne in Germany, we aim to indicate possible ways to decrease the emergency response time during an extreme flood scenario through the development of an accessibility indicator, which consists of different components. Therefore, we will investigate the opportunities that occur, in a flood risk scenario, from the use of geographic information in different forms such as Volunteered Geographic Information (VGI) and open-source data in an ArcGIS environment, to increase urban resilience through the decreasing emergency response time. We will focus on network analysis for the fire brigades (first acting emergency responders) during a flood scenario to calculate their emergency response ranges and emergency response routes through flooded road networks, for the assistance of the possibly affected hospitals, refugee homes and fire brigades, which can be flooded. At the end of the paper, we suggest that the vulnerable community of the refugees could be taken into consideration as a new source of VGI, as an additional component that would lead to the decrease in the emergency response time. The geo-located information that could be provided by the refugee community can be very useful in emergency situations, such as those examined in this article where timely information can be forwarded to the proper authorities for a more focused and timely emergency response, increasing the resilience of the urban population and their community.
C1 [Tzavella, Katerina; Fekete, Alexander] TH Koln, Inst Rescue Engn & Civil Protect, Betzdorferstr 2, D-50679 Cologne, Germany.
   [Fiedrich, Frank] Berg Univ Wuppertal, Sch Mech Engn & Safety Engn, Dept Publ Safety & Emergency Management, Gausssstr 20, D-42119 Wuppertal, NRW, Germany.
C3 University of Wuppertal
RP Tzavella, K (corresponding author), TH Koln, Inst Rescue Engn & Civil Protect, Betzdorferstr 2, D-50679 Cologne, Germany.
EM katerina.tzavella@th-koeln.de
RI Fiedrich, Frank/IUM-6267-2023; Fekete, Alexander/C-4071-2017
OI Fekete, Alexander/0000-0002-8029-6774; Fiedrich,
   Frank/0000-0003-0844-3079; Tzavella, Katerina/0000-0002-3345-3757
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], MATH PROBLEMS ENG, DOI DOI 10.1145/2835596.2835613
   [Anonymous], SPATIAL FRAMEWORK SU
   [Anonymous], NAT HAZARDS
   [Anonymous], IMPACT CLIMATE CHANG
   [Anonymous], 2015, CROWDSOURCING BASED
   [Anonymous], 16 BRAZ S GEOINF GEO
   [Anonymous], IEEE INTELL SYST
   [Anonymous], RHEIN
   [Anonymous], 2015, NAT HAZARD EARTH SYS, DOI DOI 10.5194/nhess-15-2725-2015
   [Anonymous], J DISASTER RISK STUD
   [Anonymous], PHASES DISASTER RECO
   [Anonymous], SPATIAL DATA QUALITY
   [Anonymous], CHATTER RED WHAT HAZ
   [Anonymous], PARTICIPATION URBAN
   [Anonymous], MAPPING REFUGEE MEDI
   [Anonymous], ISCRAM 2016 C RIO DE
   [Anonymous], 2015, Global assessment report on disaster risk reduction
   [Anonymous], ROLE TRANSIT EMERGEN
   [Anonymous], FLOOD RISK INDIRECT
   [Anonymous], GEOJOURNAL
   [Anonymous], 1959, NUMERISCHE MATH
   Apel H, 2004, NAT HAZARD EARTH SYS, V4, P295, DOI 10.5194/nhess-4-295-2004
   Baharin SSK, 2009, 2009 INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION, P716, DOI 10.1109/SoCPaR.2009.144
   Balijepalli C, 2014, J TRANSP GEOGR, V39, P145, DOI 10.1016/j.jtrangeo.2014.06.025
   Comes Tina, 2014, ISCRAM, V11, P195
   Cova T.J., 1999, GEOGR INF SYST MANAG, V2, P580
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   de Albuquerque JP, 2015, INT J GEOGR INF SCI, V29, P667, DOI 10.1080/13658816.2014.996567
   de la Torre LE, 2012, SOCIOECON PLANN SCI, V46, P88, DOI DOI 10.1016/J.SEPS.2011.06.001
   De Longueville B, 2010, INT J DIGIT EARTH, V3, P242, DOI 10.1080/17538947.2010.484869
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Fekete A, 2012, INT J CRIT INFRASTRU, V8, P336, DOI 10.1504/IJCIS.2012.050108
   Fekete A, 2015, ISPRS INT J GEO-INF, V4, P1848, DOI 10.3390/ijgi4041848
   Fraser SA, 2014, NAT HAZARD EARTH SYS, V14, P2975, DOI 10.5194/nhess-14-2975-2014
   Gao H, 2011, IEEE INTELL SYST, V26, P10, DOI 10.1109/MIS.2011.52
   Goodchild MF, 2010, INT J DIGIT EARTH, V3, P231, DOI 10.1080/17538941003759255
   Haklay M, 2010, ENVIRON PLANN B, V37, P682, DOI 10.1068/b35097
   Haklay M, 2010, CARTOGR J, V47, P315, DOI 10.1179/000870410X12911304958827
   Haworth B, 2015, GEOGR COMPASS, V9, P237, DOI 10.1111/gec3.12213
   Herfort B., 2015, ISCRAM
   Horita FEA, 2015, COMPUT GEOSCI-UK, V80, P84, DOI 10.1016/j.cageo.2015.04.001
   Jenelius E., 2010, Large-scale road network vulnerability analysis
   Jenelius E, 2006, TRANSPORT RES A-POL, V40, P537, DOI 10.1016/j.tra.2005.11.003
   Kaplan S., RISK ANAL, V1, P11, DOI DOI 10.1111/J.1539-6924.1981.TB01350.X
   Keller S, 2014, INT J DISAST RISK SC, V5, P227, DOI 10.1007/s13753-014-0026-1
   Kounadi O, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121848
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Mansor S., 2004, Disaster Prevention and Management, V13, P364, DOI [DOI 10.1108/09653560410568480, 10.1108/09653560410568480]
   Mete HO, 2010, INT J PROD ECON, V126, P76, DOI 10.1016/j.ijpe.2009.10.004
   Middleton SE, 2014, IEEE INTELL SYST, V29, P9, DOI 10.1109/MIS.2013.126
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Poser K., 2010, Geomatica, V64, P89, DOI DOI 10.5623/GEOMAT-2010-0008
   Rajabifard A., 2012, SPATIALLY ENABLING G, P9
   Rawls CG, 2006, 2006 IEEE INT S TECH, P1
   Resch B., 2013, Progress in location-based services, P391, DOI DOI 10.1007/978-3-642-34203-5_22
   Sakakibara H, 2004, J TRANSP ENG, V130, P560, DOI 10.1061/(ASCE)0733-947X(2004)130:5(560)
   Salmerón J, 2010, PROD OPER MANAG, V19, P561, DOI 10.1111/j.1937-5956.2009.01119.x
   Schmiedel R., 2012, REGELWERK BEDARFSPLA
   Taylor MAP, 2006, NETW SPAT ECON, V6, P267, DOI 10.1007/s11067-006-9284-9
   Van Hentenryck P, 2010, LECT NOTES COMPUT SC, V6140, P318, DOI 10.1007/978-3-642-13520-0_35
   Vieweg S, 2010, CHI2010: PROCEEDINGS OF THE 28TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, P1079, DOI 10.1145/1753326.1753486
   Zook M, 2010, WORLD MED HEALTH POL, V2, P7, DOI 10.2202/1948-4682.1069
NR 63
TC 30
Z9 33
U1 3
U2 74
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD APR
PY 2018
VL 91
SU 1
BP S29
EP S57
DI 10.1007/s11069-017-3102-1
PG 29
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA GC1PD
UT WOS:000429553200003
DA 2025-04-22
ER

PT J
AU Costello, Z
   Roberson-Miranda, K
   Ho, SR
   DePierro, JM
   Starkweather, S
   Katz, CL
   Sharma, V
   Marin, DB
AF Costello, Zorina
   Roberson-Miranda, Katheryn
   Ho, Scarlett
   DePierro, Jonathan M.
   Starkweather, Sydney
   Katz, Craig L.
   Sharma, Vanshdeep
   Marin, Deborah B.
TI A Resilience Program for Hospital Security Officers During the COVID-19
   Pandemic Using a Community Engagement Model
SO JOURNAL OF COMMUNITY HEALTH
LA English
DT Article
DE Resiliency; Community engagement; Security officers; Well-being
AB Security officers in health systems are subject to high levels of stress and current support interventions do not necessarily target their needs. To address this gap, a resilience center at a major urban tertiary care hospital utilized community engagement principles to adapt and implement resilience and mental health awareness workshops, which were informed by initial piloting. The program consisted of twelve short briefings in which officers were provided psychoeducation on psychological first aid and adaptive coping. The program reached 107 security officers (89.5% men, 95.2% people of color); both qualitative and quantitative feedback indicated a generally positive reception. Further efforts to support security officers are warranted given their high exposure to patient crises and under-acknowledgement as frontline workers in healthcare.
C1 [Costello, Zorina; Ho, Scarlett; Sharma, Vanshdeep; Marin, Deborah B.] Icahn Sch Med Mt Sinai, Ctr Spiritual & Hlth, New York, NY 10029 USA.
   [Costello, Zorina; Roberson-Miranda, Katheryn; Ho, Scarlett; DePierro, Jonathan M.; Starkweather, Sydney; Katz, Craig L.; Sharma, Vanshdeep; Marin, Deborah B.] Icahn Sch Med Mt Sinai, Ctr Stress Resilience & Personal Growth, New York, NY 10029 USA.
   [Roberson-Miranda, Katheryn; Ho, Scarlett; DePierro, Jonathan M.; Starkweather, Sydney; Katz, Craig L.; Sharma, Vanshdeep; Marin, Deborah B.] Icahn Sch Med Mt Sinai, Dept Psychiat, New York, NY 10029 USA.
   [Roberson-Miranda, Katheryn] Icahn Sch Med Mt Sinai, Dept Populat Hlth Sci & Policy, New York, NY 10029 USA.
   [Roberson-Miranda, Katheryn] Fordham Univ, Div Psychol & Educ Serv, New York, NY 10023 USA.
   [Katz, Craig L.] Icahn Sch Med Mt Sinai, Dept Med Educ, New York, NY 10029 USA.
   [Katz, Craig L.] Icahn Sch Med Mt Sinai, Dept Hlth Syst Design & Global Hlth, New York, NY 10029 USA.
C3 Icahn School of Medicine at Mount Sinai; Icahn School of Medicine at
   Mount Sinai; Icahn School of Medicine at Mount Sinai; Icahn School of
   Medicine at Mount Sinai; Fordham University; Icahn School of Medicine at
   Mount Sinai; Icahn School of Medicine at Mount Sinai
RP Roberson-Miranda, K (corresponding author), Icahn Sch Med Mt Sinai, Ctr Stress Resilience & Personal Growth, New York, NY 10029 USA.; Roberson-Miranda, K (corresponding author), Icahn Sch Med Mt Sinai, Dept Psychiat, New York, NY 10029 USA.; Roberson-Miranda, K (corresponding author), Icahn Sch Med Mt Sinai, Dept Populat Hlth Sci & Policy, New York, NY 10029 USA.; Roberson-Miranda, K (corresponding author), Fordham Univ, Div Psychol & Educ Serv, New York, NY 10023 USA.
EM kroberson1@fordham.edu
RI DePierro, Jonathan/AAW-5569-2020
OI Roberson, Katheryn/0000-0003-2629-066X; Starkweather,
   Sydney/0000-0003-3776-1164; DePierro, Jonathan/0000-0002-6883-5026
CR Alberto R. S., 2022, INT C IND ENG OP MAN
   Amsalem D, 2023, PSYCHIAT SERV, V74, P119, DOI 10.1176/appi.ps.20220083
   Becker K, 2021, HUM RESOUR MANAGE R, V31, DOI 10.1016/j.hrmr.2019.100730
   Blackler Liz, 2021, Res Sq, DOI 10.21203/rs.3.rs-268807/v1
   DePierro J, 2021, PSYCHIAT RES, V306, DOI 10.1016/j.psychres.2021.114280
   DePierro J, 2020, PSYCHIAT RES, V293, DOI 10.1016/j.psychres.2020.113426
   Doukas A, 2023, AM J IND MED, V66, P500, DOI 10.1002/ajim.23478
   Feingold Jordyn H, 2021, Chronic Stress (Thousand Oaks), V5, p2470547020977891, DOI 10.1177/2470547020977891
   Ghahramani S, 2023, INT J PSYCHIAT CLIN, V27, P208, DOI 10.1080/13651501.2022.2101927
   Gourley M, 2023, J COMMUN HEALTH, V48, P593, DOI 10.1007/s10900-023-01193-w
   Harris PA, 2009, J BIOMED INFORM, V42, P377, DOI 10.1016/j.jbi.2008.08.010
   Keogh Maggie, 2020, Nurs Manage, V51, P32, DOI 10.1097/01.NUMA.0000654852.18136.d7
   McCloskey D.J., 2011, Principles of Community Engagement, V2nd, P3
   Movahed M, 2022, DISASTER MED PUBLIC, V17, DOI 10.1017/dmp.2022.27
   Padilla KE, 2023, J POLICE CRIM PSYCHO, V38, P607, DOI 10.1007/s11896-023-09582-6
   Seto MC, 2020, CAN J PSYCHIAT, V65, P577, DOI 10.1177/0706743720916356
   Southwick SM., 2023, Resilience : the science of mastering lifes greatest challenges, V3, DOI [10.1017/9781009299725, DOI 10.1017/9781009299725]
   Tan BYQ, 2020, ANN INTERN MED, V173, P317, DOI 10.7326/M20-1083
   WHO, 2020, COR DIS COVID 19 ADV
NR 19
TC 0
Z9 0
U1 0
U2 2
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0094-5145
EI 1573-3610
J9 J COMMUN HEALTH
JI J. Community Health
PD DEC
PY 2023
VL 48
IS 6
BP 963
EP 969
DI 10.1007/s10900-023-01282-w
EA SEP 2023
PG 7
WC Health Policy & Services; Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Health Care Sciences & Services; Public, Environmental & Occupational
   Health
GA T6QD7
UT WOS:001068392800001
PM 37728723
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Wu, XF
   Huang, X
AF Wu, Xuefeng
   Huang, Xing
TI Screening of urban environmental vulnerability indicators based on
   coefficient of variation and anti-image correlation matrix method
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Urban ecological environment vulnerability; Screening of indicators;
   Coefficient of variation; Anti -image correlation matrix
ID ECOLOGICAL VULNERABILITY; REGION; RIVER
AB A scientific evaluation indicator system is critical for assessing and predicting urban environmental vulnerability. This study establishes an indicator system of urban environmental vulnerability based on ecological sensitivity, resilience, and pressure and proposes a comprehensive screening method using the coefficient of variation and anti-image correlation matrix to improve the evaluation result of urban environmental vulnerability. The indi-cator screening method improves the reliability of the evaluation results. The proposed method is compared with Pearson correlation analysis to demonstrate the advantages of our method for calculating the information interpretation intensity and the cumulative contribution rate. The calculated results are compared with the threshold values to verify the suitability of the constructed index system. The results show that the information interpretation intensity of the selected indicators system is 1.061, and the cumulative information contribution rate is 89.78%. The selected indicators system accurately reflects urban environmental vulnerability.
C1 [Wu, Xuefeng; Huang, Xing] Southwest Univ Sci & Technol, Sch Econ & Management, Mianyang 621010, Sichuan, Peoples R China.
   [Wu, Xuefeng] Southwest Univ Sci & Technol, Sch Environm & Resource, Mianyang 621010, Sichuan, Peoples R China.
C3 Southwest University of Science & Technology - China; Southwest
   University of Science & Technology - China
RP Huang, X (corresponding author), Southwest Univ Sci & Technol, Sch Econ & Management, Mianyang 621010, Sichuan, Peoples R China.
EM huangxing909@126.com
FU Planning Project Philosophy and Society Science, Ministry of Education
   of China [22YJA630031]; 14th Five -Year Plan of Sichuan Philosophy and
   Social Science Research Project [SC22EZD009]; Sichuan Public Management
   Information Research Center [QGXH20-05]; Sichuan Circular Economy
   Research Center Key Project [XHJJ-2101]; Sichuan Information Management
   and Service Research Center Key Project [SCXX2020ZD02]
FX This article is funded by Planning Project Philosophy and Society
   Science, Ministry of Education of China (No. 22YJA630031) , and by the
   14th Five -Year Plan of Sichuan Philosophy and Social Science Research
   Project (No. SC22EZD009) . Thanks to the review experts and editors of
   this article. This article is also funded by Sichuan Public Management
   Information Research Center (QGXH20-05) , Sichuan Circular Economy
   Research Center Key Project (XHJJ-2101) , Sichuan Information Management
   and Service Research Center Key Project (SCXX2020ZD02) . Thanks to
   government agencies that provide data support for this article.
CR Boori MS, 2021, J ENVIRON MANAGE, V285, DOI 10.1016/j.jenvman.2021.112138
   Charles E, 2002, WETLANDS, P634
   Chen H., 2021, COUNS PSYCHOL Q, V1, P1
   Chen H., 2016, STAT INFORM FORUM, V31, P17
   [陈洪海 Chen Honghai], 2019, [中国管理科学, Chinese Journal of Management Science], V27, P184
   Chen R., 2018, IEEE T CONTR SYST T, V40, P151
   Chi G., 2016, J MANAGEMENT SCI, V19, P136
   Dai XA, 2021, ENVIRON SCI POLLUT R, V28, P7151, DOI 10.1007/s11356-020-11013-6
   Esty D.C., 2005, ENV SUSTAINABILITY I
   [葛世帅 Ge Shishuai], 2021, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V30, P1
   Guo B, 2020, SCI TOTAL ENVIRON, V741, DOI 10.1016/j.scitotenv.2020.140256
   He Y., 2009, GEOGRAPHICAL RES DEV, V28, P108
   Hu XJ, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107464
   Hu XS, 2018, ECOL INDIC, V89, P11, DOI 10.1016/j.ecolind.2018.02.006
   Huang Y., 2022, INT J COMPUT INT SYS, V3, P54
   Huo T., 2022, J ECOL, V42, P2281
   Jiang YJ, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108054
   Kang H, 2018, J CLEAN PROD, V205, P619, DOI 10.1016/j.jclepro.2018.09.109
   Li AN, 2006, ECOL MODEL, V192, P175, DOI 10.1016/j.ecolmodel.2005.07.005
   [李路 Li Lu], 2021, [干旱区地理, Arid Land Geography], V44, P277
   [Li Pingxing 李平星], 2014, [Journal of Resources and Ecology, 资源与生态学报], V5, P163
   Long X, 2022, ECOL INDIC, V138, DOI 10.1016/j.ecolind.2022.108863
   Mahapatra M, 2015, NAT HAZARDS, V76, P139, DOI 10.1007/s11069-014-1491-y
   [孟斌 Meng Bin], 2018, [科研管理, Science Research Management], V39, P17
   [齐姗姗 Qi Shanshan], 2017, [水土保持通报, Bulletin of Soil and Water Conservation], V37, P224
   [任红玉 Ren Hongyu], 2020, [生态科学, Ecologic Science], V39, P252
   [茹少峰 Ru Shaofeng], 2022, [自然资源学报, Journal of Natural Resources], V37, P1722
   Sun L., 2017, SAFETY ENV ENG, V24, P14
   Tang Q, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107059
   Thirumurthy S, 2022, J ENVIRON MANAGE, V313, DOI 10.1016/j.jenvman.2022.114941
   Tufford D., 2003, LANDSCAPE RES, V28, P225
   Wang B., 2019, J ECOL, V39, P5460
   Wang Zi, 2022, CHINA ENVIRON SCI, P1
   Yang H., 2022, HUMAN ECOLOGICAL ASS, V11, P1
   Yi Ping-tao, 2017, Journal of Northeastern University (Natural Science), V38, P1211, DOI 10.12068/j.issn.1005-3026.2017.08.030
   Yu JB, 2024, GEO-SPAT INF SCI, V27, P289, DOI 10.1080/10095020.2022.2072775
   Zhang Heng-wei, 2015, Fire Control and Command Control, V40, P41
   Zhang XQ, 2014, SCI WORLD J, DOI 10.1155/2014/797814
   Zhang Z, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108334
   [张泽 Zhang Ze], 2021, [地球与环境, Earth and Environment], V49, P297
   Zhou Y., 2016, QUAL RELIAB ENG INT, V25, P338
   [朱佳慧 Zhu Jiahui], 2021, [上海大学学报. 自然科学版, Journal of Shanghai University. Natural Science Edition], V27, P785
   Zou TH, 2021, ECOL INDIC, V133, DOI 10.1016/j.ecolind.2021.108429
   Zou TH, 2017, ECOL INDIC, V78, P405, DOI 10.1016/j.ecolind.2017.03.039
NR 44
TC 22
Z9 22
U1 7
U2 55
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD JUN
PY 2023
VL 150
AR 110196
DI 10.1016/j.ecolind.2023.110196
EA APR 2023
PG 10
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA F4OR3
UT WOS:000982161900001
OA gold
DA 2025-04-22
ER

PT J
AU Guardaro, M
   Gastelum, A
   Winkle, R
   Encinas, MM
   Vanos, J
   Bassett, S
   Hondula, D
AF Guardaro, Melissa
   Gastelum, Augie
   Winkle, Ryan
   Encinas, Mary Munoz
   Vanos, Jennifer
   Bassett, Sarah
   Hondula, David
TI HeatReady Neighborhoods: A Planning Rubric for Extreme Heat
SO JOURNAL OF THE AMERICAN PLANNING ASSOCIATION
LA English
DT Article; Early Access
DE Extreme heat; community; urban planning; equity; resilience
ID CLIMATE-CHANGE ADAPTATION; HEALTH IMPACTS; ACTION PLANS; SOCIAL
   VULNERABILITY; RESILIENCE; REDUCE; INDEX
AB Problem, research strategy, and findingsRising temperatures and prolonged heat waves present significant challenges for all communities and are further exacerbated by socioeconomic and spatial vulnerabilities. Extreme heat impacts are amplified in areas with historic underinvestment in infrastructure, discriminatory redlining practices, and limited access to cooling amenities. To ethically mitigate and adapt to these impacts, holistically addressing urban heat impacts and coping strategies at the neighborhood level is crucial. Here we present the development of a HeatReady Neighborhoods planning rubric, co-created with community members and academic partners. The rubric evaluated overall HeatReady performance levels based on community-specific values and served as a modular template for assessing heat readiness using the Phoenix (AZ) metropolitan region as a case study.Takeaway for PracticeBy prioritizing hyperlocal, neighborhood-scale needs, the planning rubric can enable communities to optimize their social, physical, and natural assets for improved resilience to extreme heat and other slow-moving natural hazards. This adaptable model can guide planners, city officials, and community leaders in co-creating strategies with neighborhoods to effectively identify, mitigate, and build adaptation to the adverse effects of extreme heat, filling a gap in mainstream, agency-led heat action planning.
C1 [Guardaro, Melissa; Encinas, Mary Munoz; Vanos, Jennifer] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
   [Gastelum, Augie; Winkle, Ryan] RAIL CDC, Mesa, AZ USA.
   [Bassett, Sarah] Arizona State Univ, Sch Publ Affairs, Phoenix, AZ USA.
   [Hondula, David] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ USA.
C3 Arizona State University; Arizona State University-Tempe; Arizona State
   University; Arizona State University-Downtown Phoenix; Arizona State
   University; Arizona State University-Tempe
RP Guardaro, M (corresponding author), Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
EM mguardar@asu.edu; augie@railcdc.org; ryan.d.winkle@gmail.com;
   Mary.Munozencinas@asu.edu; Jenni.vanos@asu.edu; sarahbassett@asu.edu
RI Vanos, Jennifer/AAO-3146-2020; Vanos, Jennifer/S-1552-2017
OI Bassett, Sarah M./0009-0006-7766-2709; Guardaro,
   Melissa/0000-0002-1327-9587; Vanos, Jennifer/0000-0003-1854-9096
FU Arizona State University Healthy Urban Environments Initiative -
   Maricopa County Industrial Development Authority (MCIDA) [AWD00033817];
   ASU Knowledge Exchange for Resilience - Virginia G. Piper Charitable
   Trust; Piper Trust
FX This research was funded by the Arizona State University Healthy Urban
   Environments Initiative, supported by the Maricopa County Industrial
   Development Authority (MCIDA) Award no. AWD00033817. Funding was also
   received from the ASU Knowledge Exchange for Resilience, supported by
   the Virginia G. Piper Charitable Trust. Piper Trust supports
   organizations that enrich health, wellbeing, and opportunity for the
   people of Maricopa County (AZ).
CR Adams-Fuller T., 2023, Scientific American
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adler MZE., 1996, Gazing into the oracle: The Delphi method and its application to social policy and public health
   American Planning Association (APA) & Lincoln Institute of Land Policy, 2023, APA foresight trend report for planners
   Bélanger D, 2015, CLIMATIC CHANGE, V132, P279, DOI 10.1007/s10584-015-1420-4
   Berisha V, 2017, WEATHER CLIM SOC, V9, P71, DOI 10.1175/WCAS-D-16-0033.1
   Berke P, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103408
   Bernard H. R., 2016, APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological and biological, P57, DOI [https://doi.org/10.1037/13620-004, DOI 10.1037/13620-004]
   Chandra Anita, 2011, Rand Health Q, V1, P6
   Chuang WC, 2015, ENVIRON HEALTH PERSP, V123, P606, DOI 10.1289/ehp.1307868
   Cole BL, 2023, AM J PUBLIC HEALTH, V113, P185, DOI 10.2105/AJPH.2022.307143
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Day J., 2005, The Electronic Journal of Business Research Methodology, V3, P103, DOI DOI 10.12691/AJCEA-2-2-4
   Dwyer IJ, 2022, INT J BIOMETEOROL, V66, P1915, DOI 10.1007/s00484-022-02326-x
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Ebi KL, 2008, AM J PREV MED, V35, P501, DOI 10.1016/j.amepre.2008.08.018
   Eisenman DP, 2016, HEALTH PLACE, V41, P89, DOI 10.1016/j.healthplace.2016.08.007
   Garcia I., 2019, PLANNING DIVERSE COM
   Glaser B, 1999, DISCOV GROUNDED THEO
   Guardaro M, 2023, AM J PUBLIC HEALTH, V113, P465, DOI 10.2105/AJPH.2023.307260
   Guardaro M, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102886
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Hondula DM, 2015, CURR CLIM CHANGE REP, V1, P144, DOI 10.1007/s40641-015-0016-4
   Hondula DM, 2015, ENVIRON RES, V138, P439, DOI 10.1016/j.envres.2015.02.033
   Jerneck A, 2008, CLIM POLICY, V8, P170, DOI 10.3763/cpol.2007.0434
   Jin AS, 2022, ENVIRON SCI POLICY, V128, P347, DOI 10.1016/j.envsci.2021.11.022
   Keith L., 2022, Plan Integration for Resilience ScorecardTM (PIRSTM) for Heat: Spatially evaluating networks of plans to mitigate heat
   Keith Meerow., 2020, J EXTREME EVENTS, DOI DOI 10.1142/S2345737620500037
   Kerr SE, 2018, RESILIENCE: THE SCIENCE OF ADAPTATION TO CLIMATE CHANGE, P267, DOI 10.1016/B978-0-12-811891-7.00022-0
   Kotharkar R, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103487
   Kuntson J., 2023, Axios
   LaLone M.B., 2012, J APPL SOCIAL SCI, V6, P209, DOI [10.1177/1936724412458483, DOI 10.1177/1936724412458483]
   Lemos MC, 2016, GLOBAL ENVIRON CHANG, V39, P170, DOI 10.1016/j.gloenvcha.2016.05.001
   Lieberknecht K, 2022, J AM PLANN ASSOC, V88, P97, DOI 10.1080/01944363.2021.1896974
   Lim TC, 2024, J AM PLANN ASSOC, V90, P568, DOI 10.1080/01944363.2023.2259358
   Liu YQ, 2022, ENVIRON SCI POLICY, V136, P642, DOI 10.1016/j.envsci.2022.07.028
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Mallen E, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100528
   Maricopa County Department of Public Health, 2024, 2023 Heat deaths report
   Marx W, 2021, THEOR APPL CLIMATOL, V146, P781, DOI 10.1007/s00704-021-03758-y
   Meerow S, 2022, J AM PLANN ASSOC, V88, P319, DOI 10.1080/01944363.2021.1977682
   Meerow S, 2017, ENVIRON PLANN A, V49, P2619, DOI 10.1177/0308518X17735225
   Mitchell D, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074006
   ONeill M. S., 2018, Environmental Health Perspectives, V126, P107004
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Randazza JM, 2023, AM J PUBLIC HEALTH, V113, P559, DOI 10.2105/AJPH.2022.307217
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Romanello M, 2022, LANCET, V400, P1619, DOI 10.1016/S0140-6736(22)01540-9
   Ruth M., 2010, Economic and social benefits of climate information: Assessing the cost of inaction
   Saldana J., 2012, CODING MANUAL QUALIT
   Schmeltz MT, 2023, AM J PUBLIC HEALTH, V113, P15, DOI 10.2105/AJPH.2022.307117
   Sheridan SC, 2004, B AM METEOROL SOC, V85, P1931, DOI 10.1175/BAMS-85-12-1931
   Shortridge A, 2022, CLIM RISK MANAG, V36, DOI 10.1016/j.crm.2022.100437
   Silverman RM, 2020, CRIT SOCIOL, V46, P413, DOI 10.1177/0896920519837322
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Turner VK, 2023, NATURE, V619, P694, DOI 10.1038/d41586-023-02311-3
   U.S. Environmental Protection Agency (EPA), 2022, Heat islands and equity
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   Webber S, 2016, GEOGR COMPASS, V10, P401, DOI 10.1111/gec3.12278
   White RK, 2015, AM BEHAV SCI, V59, P200, DOI 10.1177/0002764214550296
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   Wilson B, 2019, J ENVIRON PLANN MAN, V62, P1065, DOI 10.1080/09640568.2018.1462475
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Wolcott F. H., 1994, Transforming qualitative data: description, analysis and interpretation
NR 66
TC 0
Z9 0
U1 11
U2 11
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0194-4363
EI 1939-0130
J9 J AM PLANN ASSOC
JI J. Am. Plan. Assoc.
PD 2024 OCT 9
PY 2024
DI 10.1080/01944363.2024.2396923
EA OCT 2024
PG 15
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA I3R1Q
UT WOS:001329453300001
DA 2025-04-22
ER

PT J
AU Du, LP
   Dai, T
   Liu, LT
   Xu, DX
   Ouyang, X
   Luo, FJ
   Wen, BJ
   Zhao, HL
   Ma, QJ
   Liu, G
AF Du, Lipu
   Dai, Tao
   Liu, Litao
   Xu, Daxing
   Ouyang, Xin
   Luo, Fanjie
   Wen, Bojie
   Zhao, Huilan
   Ma, Qijin
   Liu, Gang
TI Evolving cobalt cycle and urban mines in the EU, 1988-2020
SO RESOURCES CONSERVATION AND RECYCLING
LA English
DT Article
DE Urban mines; Cobalt; Recycling potential; Pretreatment; Dynamic material
   flow analysis
ID END-OF-LIFE; DYNAMIC-ANALYSIS; MAINLAND CHINA; FLOWS; STOCKS; BATTERIES;
   INSIGHTS; TRACKING; STEEL; SCRAP
AB Urban mines are vital for resource security and resilience, but the intricacies of their recycling processes are often overlooked. This study uses dynamic Material Flow Analysis to delve into the EU's cobalt cycle from 1988 to 2020, focusing on urban cobalt mining potential. We observed a significant shift in EU cobalt consumption patterns, with the demand for electric vehicle batteries surpassing that for superalloys, thereby positioning batteries as the primary cobalt consumers. Moreover, batteries increasingly dominate the cobalt in-use stock. The recycling process experiences substantial losses, especially in collection and pretreatment stages, reaching up to 87 %. Our findings indicates that urban cobalt mines could account for 57-66 % of the EU's total cobalt consumption, amounting to 166-193 kt in a high scenario. These insights emphasize the changing dynamics of the EU cobalt cycle and the importance of efficient urban cobalt mine management.
C1 [Du, Lipu; Xu, Daxing] China Univ Geosci Beijing, Sch Earth Sci & Resources, Beijing 100083, Peoples R China.
   [Du, Lipu; Liu, Litao; Xu, Daxing; Ouyang, Xin] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Du, Lipu; Dai, Tao; Xu, Daxing; Wen, Bojie] CAGS, Inst Mineral Resources, Res Ctr Strategy Global Mineral Resources, Beijing 100037, Peoples R China.
   [Dai, Tao] Chinese Acad Geol Sci, SinoProbe Lab, Beijing 100094, Peoples R China.
   [Luo, Fanjie] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
   [Zhao, Huilan] China Natl Petr Corp, Explorat & Dev Res Inst Huabei Oilfield Co, Beijing 061000, Peoples R China.
   [Ma, Qijin] Zhengzhou Univ Light Ind, Res Inst Ind Technol, Zhengzhou 450003, Peoples R China.
   [Liu, Gang] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China.
   [Liu, Gang] Peking Univ, Inst Carbon Neutral, Beijing 100871, Peoples R China.
C3 China University of Geosciences; Chinese Academy of Sciences; Institute
   of Geographic Sciences & Natural Resources Research, CAS; China
   Geological Survey; Chinese Academy of Geological Sciences; Chengdu
   University of Technology; China National Petroleum Corporation;
   Zhengzhou University of Light Industry; Peking University; Peking
   University
RP Liu, LT (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM liult@igsnrr.ac.cn
RI Liu, Gang/J-3181-2013
OI Liu, Litao/0000-0002-6871-6887
FU National Natural Science Foundation of China [52270191, 71991484,
   72334001]; China Geological Survey [DD20221795]; Specific Project of
   National Key Research and Development Program of China [2016YFC0503505];
   Fundamental Research Funds for the Central Universities of Peking
   University
FX This work is funded by the National Natural Science Foundation of China
   (52270191, 71991484, and 72334001) , the China Geological Survey
   (Geological Surveying Project DD20221795) , the Specific Project of
   National Key Research and Development Program of China (2016YFC0503505)
   , and the Fundamental Research Funds for the Central Universities of
   Peking University.
CR Ai N, 2019, RESOUR CONSERV RECY, V145, P208, DOI 10.1016/j.resconrec.2019.01.021
   [Anonymous], 2015, Closing the loop: An action plan for the circular economy
   [Anonymous], 2023, Critical Raw Materials Act
   Asgarian F, 2023, APPL ENERG, V347, DOI 10.1016/j.apenergy.2023.121434
   Bauer P, 2021, NAT CLIM CHANGE, V11, P80, DOI 10.1038/s41558-021-00986-y
   BIO by Deloitte, 2015, Study on data for a raw material system analysis: roadmap and test of the fully operational MSA for raw materials
   Brunner P.H., 2004, Practical handbook of material flow analysis. Advanced Methods in Resource and Waste Management
   Chandra M, 2022, MIN PROC EXT MET REV, V43, P679, DOI 10.1080/08827508.2021.1916927
   Chen WQ, 2012, RESOUR CONSERV RECY, V65, P18, DOI 10.1016/j.resconrec.2012.05.003
   Chen ZY, 2019, SCI TOTAL ENVIRON, V672, P752, DOI 10.1016/j.scitotenv.2019.02.411
   Ciacci L, 2019, J IND ECOL, V23, P426, DOI 10.1111/jiec.12744
   Ciacci L, 2017, RESOURCES-BASEL, V6, DOI 10.3390/resources6010006
   Cobalt institute, 2020, About us
   Dias P.Alves, 2018, Cobalt: Demand-supply balances in the transition to electric mobility, V10, P97710, DOI DOI 10.2760/97710
   European Commission, 2023, Batteries
   European Commission, 2018, ASS IMPL DIR 2000 53
   European Commission, 2020, A new Circular Economy Action Plan for a cleaner and more competitive Europe
   European Portable Battery Association (EPBA), 2017, Study For EPBA On Waste Portable Batteries Collection Rates
   European Portable Battery Association (EPBA), 2022, Short Update 2022
   Graedel TE, 2015, P NATL ACAD SCI USA, V112, P4257, DOI 10.1073/pnas.1500415112
   Gregoir L., 2022, Metals for Clean Energy: Pathways to solving Europes raw materials challenge
   Guo F, 2022, SUSTAIN PROD CONSUMP, V32, P407, DOI 10.1016/j.spc.2022.05.002
   Haas W, 2015, J IND ECOL, V19, P765, DOI 10.1111/jiec.12244
   Harper EM, 2012, ENVIRON SCI TECHNOL, V46, P1079, DOI 10.1021/es201874e
   Horn S, 2021, ORE GEOL REV, V130, DOI 10.1016/j.oregeorev.2020.103915
   House F.G., 2012, Data needs for a full raw materials flow analysis final report risk & policy analysts limited
   Kim S, 2021, J CLEAN PROD, V294, DOI 10.1016/j.jclepro.2021.126329
   Kublbock K., 2013, The EU Raw Materials Initiative: Scope and Critical Assessment
   Kuong IH, 2019, ENVIRON SCI TECHNOL, V53, P1394, DOI 10.1021/acs.est.8b04063
   Landrigan P, 2022, ENVIRON HEALTH-GLOB, V21, DOI 10.1186/s12940-022-00877-5
   León MFG, 2022, J CLEAN PROD, V338, DOI 10.1016/j.jclepro.2022.130437
   León MFG, 2021, RESOUR CONSERV RECY, V173, DOI 10.1016/j.resconrec.2021.105690
   León MFG, 2020, RESOUR CONSERV RECY, V158, DOI 10.1016/j.resconrec.2020.104842
   León MFG, 2020, RESOUR CONSERV RECY, V157, DOI [10.1016/j.resconrec.2019.104564, 10.1016/j.resconrec.2020.104564]
   Li QF, 2019, RESOUR POLICY, V62, P625, DOI 10.1016/j.resourpol.2018.11.011
   Liu QC, 2022, ENVIRON SCI TECHNOL, V56, P11807, DOI 10.1021/acs.est.2c02247
   Liu WQ, 2021, RESOUR CONSERV RECY, V164, DOI 10.1016/j.resconrec.2020.105122
   Ma QY, 2023, ENVIRON SCI POLLUT R, V30, P27469, DOI 10.1007/s11356-022-24040-2
   Mancini L, 2021, RESOUR POLICY, V71, DOI 10.1016/j.resourpol.2021.102015
   Matos C.T., 2020, EUR 30103 EN, DOI [10.2760/519827, DOI 10.2760/519827]
   Meylan G, 2017, RESOUR CONSERV RECY, V123, P1, DOI 10.1016/j.resconrec.2016.01.006
   Nakamura S, 2017, ENVIRON SCI TECHNOL, V51, P9469, DOI 10.1021/acs.est.7b01683
   Noll R, 2020, CHEM-ING-TECH, V92, P360, DOI 10.1002/cite.201900123
   Ohno H, 2017, ENVIRON SCI TECHNOL, V51, P13086, DOI 10.1021/acs.est.7b04477
   Pfaff M, 2018, RESOUR CONSERV RECY, V139, P205, DOI 10.1016/j.resconrec.2018.08.017
   Pirsaheb M, 2021, J FOOD COMPOS ANAL, V96, DOI 10.1016/j.jfca.2020.103697
   Project Blue, 2022, Critical material risk index (CMRI)
   Qiao DH, 2023, WASTE MANAGE, V163, P122, DOI 10.1016/j.wasman.2023.03.016
   Rostek L, 2022, RESOUR CONSERV RECY, V180, DOI 10.1016/j.resconrec.2022.106154
   Song JL, 2019, J CLEAN PROD, V215, P570, DOI 10.1016/j.jclepro.2019.01.081
   Sun X, 2019, RESOUR CONSERV RECY, V149, P45, DOI 10.1016/j.resconrec.2019.05.009
   Tejaswini MSSR, 2022, J ENVIRON MANAGE, V319, DOI 10.1016/j.jenvman.2022.115727
   Tsiropoulos I, 2018, EUR 29440 EN, 2018, DOI [DOI 10.2760/87175, 10.2760/87175, DOI 10.2760/87175.JRC113360]
   U.S. Geological Survey, 2020, Mineral commodity summaries 2020 U.S. Geological Survey, DOI DOI 10.3133/MCS2020
   UN Comtrade, 2021, Database On Production and Trade of Cobalt and Related Commodities
   Van den Eynde S, 2022, WASTE MANAGE, V137, P231, DOI 10.1016/j.wasman.2021.11.019
   Wager P., 2017, 2016 ELECT GOES GREE, DOI [10.1109/EGG.2016.7829826, DOI 10.1109/EGG.2016.7829826]
   Wang JB, 2019, RESOUR CONSERV RECY, V146, P580, DOI 10.1016/j.resconrec.2019.02.008
   Wang MX, 2017, RESOUR POLICY, V52, P235, DOI 10.1016/j.resourpol.2016.12.009
   Wang YB, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104955
   Wittenberg A., 2023, Mater Proc, V15, P24, DOI [10.3390/materproc2023015024, DOI 10.3390/MATERPROC2023015024]
   Xavier LH, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2019.101467
   Yu H, 2021, J CLEAN PROD, V327, DOI 10.1016/j.jclepro.2021.129391
   Zeng AQ, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29022-z
   Zeng XL, 2015, RESOUR CONSERV RECY, V104, P12, DOI 10.1016/j.resconrec.2015.09.014
   Zhu JE, 2021, CELL REP PHYS SCI, V2, DOI 10.1016/j.xcrp.2021.100537
NR 66
TC 1
Z9 1
U1 15
U2 18
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-3449
EI 1879-0658
J9 RESOUR CONSERV RECY
JI Resour. Conserv. Recycl.
PD AUG
PY 2024
VL 207
AR 107703
DI 10.1016/j.resconrec.2024.107703
EA MAY 2024
PG 10
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA H7V1Q
UT WOS:001325474300001
DA 2025-04-22
ER

PT J
AU Ngoasong, MZ
   Kimbu, AN
AF Ngoasong, Michael Z.
   Kimbu, Albert N.
TI Informal microfinance institutions and development-led tourism
   entrepreneurship
SO TOURISM MANAGEMENT
LA English
DT Article
DE Development-led tourism entrepreneurship; Informal microfinance
   institutions; Resilience; Social capital; Collective action; Cameroon
ID URBAN-POOR; RESILIENCE; COMMUNITY; FINANCE; PARTICIPATION; DESTINATION;
   VENDORS
AB This paper explores how informal microfinance institutions (IMFIs) support development-led tourism entrepreneurship through providing microcredit and development opportunities to small tourism firms (STFs), as well as undertaking communitarian projects and outreach activities that promote the business activities of STFs. Drawing on resilience and social capital as central concepts, the paper argues that the form of collective action found in IMFIs can be examined to understand their impact on development-led tourism entrepreneurship. Using Cameroon as a case study important policy challenges in destinations where regulatory constrains cause many STFs to become dependent on IMFIs as opposed to formal (regulated) financial institutions in development-led tourism are highlighted. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Ngoasong, Michael Z.] Open Univ, Dept Publ Leadership & Social Enterprise, Milton Keynes MK7 6AA, Bucks, England.
   [Kimbu, Albert N.] Univ Surrey, Sch Hospitality & Tourism Management, Guildford GU2 7XH, Surrey, England.
C3 Open University - UK; University of Surrey
RP Ngoasong, MZ (corresponding author), Open Univ, Dept Publ Leadership & Social Enterprise, Walton Hall, Milton Keynes MK7 6AA, Bucks, England.
EM michael.ngoasong@open.ac.uk; a.kimbu@surrey.ac.uk
RI Ngoasong, Michael/AEP-0996-2022; Kimbu, Albert/AAT-5287-2021
OI N. KIMBU, ALBERT/0000-0001-8505-6705; Ngoasong, Michael
   Zisuh/0000-0002-0612-0797
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Akama J. S., 2007, Journal of Sustainable Tourism, V15, P735, DOI 10.2167/jost543.0
   Anderson CL, 2002, WORLD DEV, V30, P95, DOI 10.1016/S0305-750X(01)00096-1
   [Anonymous], ORG STUDIES
   APA, 2012, 28 ET MICR ILL CAM
   Ayyagari M, 2010, REV FINANC STUD, V23, P3048, DOI 10.1093/rfs/hhq030
   Banerjee AV, 2011, POOR EC RADICAL RETH
   Baron RA, 2003, J BUS VENTURING, V18, P41, DOI 10.1016/S0883-9026(00)00069-0
   Battilana J, 2010, ACAD MANAGE J, V53, P1419, DOI 10.5465/AMJ.2010.57318391
   Bernard H. R., 2012, SOCIAL RES METHODS Q
   Biggs D, 2012, J SUSTAIN TOUR, V20, P645, DOI 10.1080/09669582.2011.630080
   Bosworth G, 2011, ANN TOURISM RES, V38, P1474, DOI 10.1016/j.annals.2011.03.015
   Bouman F.J.A., 1994, Financial Lanscapes Reconstructed: The fine art of mapping development, P375
   BOUMAN FJA, 1995, WORLD DEV, V23, P371, DOI 10.1016/0305-750X(94)00141-K
   Breukel A, 2009, TOURISM MANAGE, V30, P184, DOI 10.1016/j.tourman.2008.05.015
   Brown D. O., 1998, Journal of Sustainable Tourism, V6, P69, DOI 10.1080/09669589808667302
   Brown DO, 1998, TOURISM MANAGE, V19, P237, DOI 10.1016/S0261-5177(98)00016-8
   Bruton GD, 2011, J INT BUS STUD, V42, P718, DOI 10.1057/jibs.2010.58
   Canales R, 2011, REGUL GOV, V5, P90, DOI 10.1111/j.1748-5991.2010.01095.x
   COBAC, 2007, RAPP COMM BANC AFR C
   Coleman J. S., 1990, Foundations of social theory
   Coutu DL, 2002, HARVARD BUS REV, V80, P46
   Crowe J., 2013, Journal of Rural Social Sciences (JRSS), V28, P1
   Decrop A., 2004, Qualitative research in tourism: ontologies, epistemologies and methodologies, P156
   Emery M, 2006, COMMUNITY DEV, V37, P19, DOI 10.1080/15575330609490152
   Eroglu S, 2010, J SOC POLICY, V39, P461, DOI 10.1017/S0047279409990699
   Fowler Ian., 1997, Contesting Art: Art, Politics and Identity in the Modern World, P63
   Jones S, 2005, ANN TOURISM RES, V32, P303, DOI 10.1016/j.annals.2004.06.007
   Kimbu AN, 2013, ANN TOURISM RES, V40, P235, DOI 10.1016/j.annals.2012.09.005
   Kimbu AN, 2011, INT J TOUR RES, V13, P324, DOI 10.1002/jtr.853
   Kimbu N. A., 2010, THESIS
   Kwaramba HM, 2012, TOURISM MANAGE, V33, P885, DOI 10.1016/j.tourman.2011.09.010
   Lee JEC, 2011, CAN J BEHAV SCI, V43, P222, DOI 10.1037/a0024473
   Levenson AR, 1996, J DEV ECON, V51, P45, DOI 10.1016/S0304-3878(96)00425-7
   Marguerat Y., 1983, CAH ESTUD AFR, V23, P495
   Marti I, 2013, J BUS VENTURING, V28, P10, DOI 10.1016/j.jbusvent.2011.09.001
   Mayoux L, 2001, DEV CHANGE, V32, P435, DOI 10.1111/1467-7660.00212
   Mitas O, 2012, ANN TOURISM RES, V39, P1884, DOI 10.1016/j.annals.2012.05.003
   Nahapiet J, 1998, ACAD MANAGE REV, V23, P242, DOI 10.2307/259373
   O'Brien G, 2010, ENERG POLICY, V38, P7550, DOI 10.1016/j.enpol.2010.03.033
   Obrist B, 2010, PROG DEV STUD, V10, P325, DOI 10.1177/146499340901000405
   Ohe Y, 2013, TOURISM MANAGE, V35, P278, DOI 10.1016/j.tourman.2012.07.003
   Portes A.a., 2007, RETHINKING MIGRATION
   Pretty J, 2001, WORLD DEV, V29, P209, DOI 10.1016/S0305-750X(00)00098-X
   Ramukumba T, 2012, TOUR MANAG PERSPECT, V2-3, P7, DOI 10.1016/j.tmp.2011.12.006
   Rogerson C. M., 2005, Development Southern Africa, V22, P623, DOI 10.1080/03768350500364224
   Rogerson C. M., 2003, Africa Insight, V33, P142
   Ruiz-Ballesteros E, 2011, TOURISM MANAGE, V32, P655, DOI 10.1016/j.tourman.2010.05.021
   Seibel H. D., 2000, J DEV ENTREPRENEURSH, V6, P83
   Slocum SL, 2011, TOUR ANAL, V16, P43, DOI 10.3727/108354211X12988225900045
   Spring A, 2009, J AFR BUS, V10, P11, DOI 10.1080/15228910802701296
   Steel G, 2012, ANN TOURISM RES, V39, P601, DOI 10.1016/j.annals.2011.08.002
   Strickland-Munro JK, 2010, ANN TOURISM RES, V37, P499, DOI 10.1016/j.annals.2009.11.001
   Strobl A, 2013, ANN TOURISM RES, V40, P59, DOI 10.1016/j.annals.2012.08.005
   Sullivan-Taylor B, 2011, INT J PROD RES, V49, P5565, DOI 10.1080/00207543.2011.563837
   Sullivan-Taylor B, 2009, ORGAN STUD, V30, P251, DOI 10.1177/0170840608101480
   Tche J., 2009, International Journal of Development Issues, V8, P48, DOI DOI 10.1108/14468950910967065
   Thomas R, 2011, TOURISM MANAGE, V32, P963, DOI 10.1016/j.tourman.2011.02.003
   Torres F., 2006, DIAPORA NETWORKS INT, P99
   Wieland A, 2013, INT J PHYS DISTR LOG, V43, P300, DOI 10.1108/IJPDLM-08-2012-0243
   Woolcock M, 2010, ANNU REV POLIT SCI, V13, P469, DOI 10.1146/annurev.polisci.031108.094151
   Woolcock MJV, 1999, AM J ECON SOCIOL, V58, P17, DOI 10.1111/j.1536-7150.1999.tb03281.x
   WTO, 2005, TOUR MICR POV ALL RE
   Yotsumoto Y, 2013, INT J JPN SOCIOL, V22, P128, DOI 10.1111/ijjs.12000
   Zahra A, 2013, ANN TOURISM RES, V42, P22, DOI 10.1016/j.annals.2013.01.008
   Zangue E., 2009, THESIS
   Zhao WB, 2011, ANN TOURISM RES, V38, P1570, DOI 10.1016/j.annals.2011.02.006
NR 67
TC 78
Z9 84
U1 3
U2 87
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0261-5177
EI 1879-3193
J9 TOURISM MANAGE
JI Tourism Manage.
PD FEB
PY 2016
VL 52
BP 430
EP 439
DI 10.1016/j.tourman.2015.07.012
PG 10
WC Environmental Studies; Hospitality, Leisure, Sport & Tourism; Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics;
   Business & Economics
GA CY2JP
UT WOS:000366235100038
DA 2025-04-22
ER

PT J
AU Beraud, H
   Barroca, B
   Hubert, G
AF Beraud, H.
   Barroca, B.
   Hubert, G.
TI Functional analysis, a resilience improvement tool applied to a waste
   management system - application to the "household waste management
   chain"
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
AB A waste management system plays a leading role in the capacity of an area to restart after flooding, as their impact on post-crisis management can be very considerable. Improving resilience, i.e. enabling it to maintain or recover acceptable operating levels after flooding is primordial. To achieve this, we must understand how the system works for bringing any potential dysfunctions to light and taking preventive measures. Functional analysis has been used for understanding the complexity of this type of system. The purpose of this article is to show the interest behind this type of method and the limits in its use for improving resilience of waste management system as well as other urban technical systems(1), by means of theoretical modelling and its application on a study site.
C1 [Beraud, H.; Barroca, B.; Hubert, G.] Univ Paris Est Marne la Vallee, LEESU UMR MA Urban Engn Grp 102, Paris, France.
C3 Universite Gustave-Eiffel; Universite Paris-Est-Creteil-Val-de-Marne
   (UPEC)
RP Beraud, H (corresponding author), Univ Paris Est Marne la Vallee, LEESU UMR MA Urban Engn Grp 102, Paris, France.
EM helene.beraud@univ-mlv.fr
RI Barroca, Bruno/ABF-5436-2020
OI BARROCA, Bruno/0000-0001-6653-0803
CR AFNOR, 2004, MAN VAL SES OUT AN F
   [Anonymous], 2010, ECOLOGIES URBAINES
   Barrere-Lutoff C., 2000, SYSTEME URBAIN NICOI
   Barroca B., 2012, VERTIGO, V12
   Beraud H., 2011, NECESSAIRE PRISE COM
   Beraud H., 2011, ICVRAM 2011 INT S UN
   Beraud H., 2011, ASSESSING RESILIENCE
   Blancher P, 1998, RISQUES RESEAUX TECH, P13
   Brown C, 2011, WASTE MANAGE, V31, P1085, DOI 10.1016/j.wasman.2011.01.027
   CERTU, 2005, RED VULN RES URB IN
   Du Puy G, 1991, URBANISME RESEAUX TH
   GLEYZE JF, 2005, VULNERABILITE STRUCT
   Le Bozec A., 1994, SERVICE ELIMINATION
   Le Moigne J.-L., 1977, THEORIE SYSTEME GEN
   Lhomme S., 2010, Bulletin de lassociation des geographes francais, P487
   Maiolini J.-L., 1992, SURETE FONCTIONNEMEN
   Martinand C., 2001, MAITRISE SERVICES PU, P123
   Noyes D., 2007, ANAL SYSTEMES SURETE, P14
   Peyras L, 2006, CAN GEOTECH J, V43, P169, DOI 10.1139/T05-096
   Peyras L., 2006, REV EUROPEENNE GENIE, V5, P615
   Peyras L., 2002, DIAGNOSTIC ANAL RISQ, VII
   Pumain D, 1989, VILLES AUTOORGANISAT
   Robin des Bois, 2007, DECHETS POSTCATASTRO
   Robin des Bois, 2010, DECHETS TEMPETE XYNT, V110
   Serre D., 2005, Evaluation de la performance des digues de protection contre les inondations - Modelisation de criteres de decision dans un Systeme dInformation Geographique
   Villemeur A., 1988, Surete de fonctionnement des systemes industriels
   ZIHRI G, 2004, RISQUES LIES OUVRAGE
   Zwingelstein G., 1996, La maintenance basee sur la fiabilite
NR 28
TC 8
Z9 8
U1 1
U2 9
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PY 2012
VL 12
IS 12
BP 3671
EP 3682
DI 10.5194/nhess-12-3671-2012
PG 12
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 059IJ
UT WOS:000312697400007
OA gold
DA 2025-04-22
ER

PT J
AU Tao, Q
   He, Z
   Li, HJ
AF Tao, Qian
   He, Zheng
   Li, Haijiang
TI Simulation and factor analysis for post-earthquake recovery of densely
   populated urban residential communities in China
SO STRUCTURE AND INFRASTRUCTURE ENGINEERING
LA English
DT Article
DE Buildings; earthquakes; functionality; infrastructure; residential;
   residents; resilience; simulation; utility networks
ID SEISMIC RESILIENCE
AB Post-earthquake recovery simulation is crucial for resilient community planning, and different interconnected factors are required to be considered holistically. To identify the key infrastructural characteristics affecting the recovery of densely populated urban residential communities (URCs) in China, a comprehensive methodology for resilience assessment and analysis is established on a systematic integration of multiple analysis tools (e.g. population-based functionality indicators, post-earthquake recovery simulations, and infrastructural dependence analyses). The methodology can consider the dependence among residential buildings, supporting buildings, and utility networks, as well as the relationships between their functionalities and resident outmigration; it also includes infrastructural repair sequences to allow flexible repair plans to be simulated. A case study is employed to conduct a factor analysis to clarify the impacts of three important infrastructural characteristics. Results show that improvements on the seismic performance of residential buildings facilitate recovery more significantly than utility networks, and the use of redundant utility pipelines can hardly impact the recovery of URCs. In long-term community recoveries, utility networks play more important role due to the cascading effects arising from the extension of repair durations. The proposed methodology can promote the understanding of community recovery, and the results demonstrate the effectiveness of identifying key factors.
C1 [Tao, Qian; He, Zheng] Dalian Univ Technol, Dept Civil Engn, Dalian, Peoples R China.
   [He, Zheng] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian, Peoples R China.
   [Li, Haijiang] Cardiff Univ, Cardiff Sch Engn, Cardiff, Wales.
C3 Dalian University of Technology; Dalian University of Technology;
   Cardiff University
RP He, Z (corresponding author), Dalian Univ Technol, Dept Civil Engn, Dalian, Peoples R China.
EM hezheng@dlut.edu.cn
RI LI, HAIJIANG/JJF-9281-2023
FU Fundamental Research Funds for the Central Universities;  [DUT19GJ208]
FX This work was financially supported by the Fundamental Research Funds
   for the Central Universities (Grant No. DUT19GJ208).
CR Almufti I., 2013, REDITM RATING SYSTEM
   [Anonymous], 2013, Hazus-MH 2.1 Technical manual: Hurricane Model
   Boccaletti S, 2006, PHYS REP, V424, P175, DOI 10.1016/j.physrep.2005.10.009
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burton H, 2019, INT J DISAST RISK RE, V37, DOI 10.1016/j.ijdrr.2019.101167
   Burton HV, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001321
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Cantelmi R., 2021, Environment Systems & Decisions, V41, P341, DOI 10.1007/s10669-020-09795-8
   Chang SE, 2002, ENVIRON PLANN B, V29, P281, DOI 10.1068/b2789
   Yin HC, 2022, ADV CIV ENG, V2022, DOI 10.1155/2022/7668214
   Chen X. W., 2007, MASTER DISSERTATION
   Cimellaro GP, 2010, STRUCT INFRASTRUCT E, V6, P127, DOI 10.1080/15732470802663847
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Dueñas-Osorio L, 2007, EARTHQ ENG STRUCT D, V36, P285, DOI 10.1002/eqe.626
   FEMA-NIBS, 2003, Multi-Hazardloss Estimation MethodologyEarthquake Model: HAZUSMH. Advanced Engineering Building ModuleTechnical and User's Manual
   Feng KR, 2017, STRUCT SAF, V66, P118, DOI 10.1016/j.strusafe.2017.02.006
   Freddi F, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102267
   Gifford, 2007, ENV PSYCHOL PRINCIPL, P1
   He L. H., 2011, J PUBLIC MANAGEMENT, V8, P43, DOI DOI 10.1017/CB09781107415324.004
   Isoyama R, 2000, WATER SUPP, V18, P63
   Koliou M, 2020, SUSTAIN RESIL INFRAS, V5, P131, DOI 10.1080/23789689.2017.1418547
   Kowalski D, 2019, WATER-SUI, V11, DOI 10.3390/w11030480
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Loganathan GV, 2002, J WATER RES PL-ASCE, V128, P271, DOI 10.1061/(ASCE)0733-9496(2002)128:4(271)
   Ma J., 2008, THESIS HUAZHONG AGR
   Masoomi H, 2018, J STRUCT ENG, V144, DOI [10.1061/(ASCE)ST.1943-541X.0002019, 10.1061/(asce)st.1943-541x.0002019]
   Meng Y. Y., 2012, THESIS YANSHAN U QIN
   Miles SB, 2019, NAT HAZARDS REV, V20, DOI 10.1061/(ASCE)NH.1527-6996.0000313
   Ministry of Housing and Urban-Rural Development (MOHURD), 2016, TY018920216 MOHURD
   Ministry of Housing and Urban-Rural Development (MOHURD), 1993, NATL MUNICIPAL CONST
   MURRAY CJL, 1994, B WORLD HEALTH ORGAN, V72, P429
   Nejat A, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000223
   Ouyang M, 2014, STRUCT SAF, V48, P15, DOI 10.1016/j.strusafe.2014.01.001
   Pitilakis K., 2014, SYNER G TYPOLOGY DEF, P95
   Poulin C, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107926
   Qiao M. M., 2013, THESIS SW JIAOTONG U
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Shadabfar M, 2022, ASCE-ASME J RISK U A, V8, DOI 10.1061/AJRUA6.0001184
   Tao Q, 2020, STRUCT SAF, V83, DOI 10.1016/j.strusafe.2019.101907
   Zhang WL, 2017, STRUCT INFRASTRUCT E, V13, P1404, DOI 10.1080/15732479.2016.1271813
NR 40
TC 0
Z9 0
U1 6
U2 15
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-2479
EI 1744-8980
J9 STRUCT INFRASTRUCT E
JI Struct. Infrastruct. Eng.
PD NOV 1
PY 2024
VL 20
IS 11
BP 1746
EP 1764
DI 10.1080/15732479.2023.2165116
EA JAN 2023
PG 19
WC Engineering, Civil; Engineering, Mechanical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA E3Y9T
UT WOS:000909883700001
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Grilo, F
   Mcphearson, T
   Nunes, A
   Aleixo, C
   -Reis, MS
   Branquinho, C
AF Grilo, Filipa
   Mcphearson, Timon
   Nunes, Alice
   Aleixo, Cristiana
   -Reis, Margarida Santos
   Branquinho, Cristina
TI Where the not-so-wild things are in cities? The influence of
   social-ecological factors in urban trees at multiple scales
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Diversity indices; Ecosystem services; Tree cover; Social -ecological
   systems; Urban planning; Urban trees
ID SPECIES FUNCTIONAL DIVERSITY; STREET TREES; AIR-POLLUTION; VEGETATION;
   RESPONSES; PATTERNS; TRAITS; COVER; HOMOGENIZATION; URBANIZATION
AB Green infrastructure plays an essential role in cities due to the ecosystem services it provides. However, these elements are shaped by social and ecological factors that influence their distribution and diversity, affecting ecological functions and human well-being. Here, we analyzed neighborhood tree distribution - trees in pocket parks, squares and along streets - in Lisbon (Portugal) and modelled tree abundance and taxonomic and functional diversity, at the parish and local scales, considering a comprehensive list of social and ecological factors. For the functional analyses, we included functional traits linked to dispersal, resilience to important perturbations in coastal Mediterranean cities, and ecosystem services delivery. Our results show not only that trees are unevenly distributed across the city, but that there is a strong influence of social factors on all biological indices considered. At the parish and local scales, abundance and diversity responded to different factors, with abundance being linked to both social and ecological variables. Although the influence of social factors on urban trees can be expected, by modelling their influence we can quantify how much humans modify urban landscapes at a structural and functional level. These associations can underlie potential biodiversity filters and should be analyzed over time to inform decisions that support long-term ecological resilience, maximize trait functional expression, and increase equity in ecosystem services delivery.
C1 [Grilo, Filipa; Nunes, Alice; Aleixo, Cristiana; -Reis, Margarida Santos; Branquinho, Cristina] Univ Lisbon, Global Change & Sustainabil Inst, Fac Ciencias, cE3c Ctr Ecol Evolut & Environm Changes & CHANGE, P-1749016 Campo Grande, Lisboa, Portugal.
   [Mcphearson, Timon] Urban Syst Lab, New Sch, New York, NY USA.
   [Mcphearson, Timon] Cary Inst Ecosyst Studies, Millbrook, NY USA.
   [Mcphearson, Timon] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
   [Mcphearson, Timon] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, Stockholm, Sweden.
C3 Universidade de Lisboa; The New School; Cary Institute of Ecosystem
   Studies; Stockholm University; Royal Swedish Academy of Sciences; Beijer
   Institute of Ecological Economics
RP Branquinho, C (corresponding author), Univ Lisbon, Global Change & Sustainabil Inst, Fac Ciencias, cE3c Ctr Ecol Evolut & Environm Changes & CHANGE, P-1749016 Campo Grande, Lisboa, Portugal.
EM cmbranquinho@fc.ul.pt
RI Aleixo, Cristiana/N-7540-2013; McPhearson, Timon/JOZ-3799-2023;
   Branquinho, Cristina/B-3670-2008; Nunes, Alice/B-4817-2014
OI Nunes, Alice/0000-0002-6900-3838; Grilo, Ana Filipa/0000-0002-7831-1162
FU Fundacao para a Ciencia e a Tecnologia (FCT) [BIODIV PD/BD/140824/2018,
   SFRH/BD/141822/2018, CEECIND/02453/2018/CP1534/CT0001]; FCT/MCTES;
   SMARTer Greener Cities project through the Nordforsk Sustainable Urban
   Development and Smart Cities program [95377]; US National Science
   Foundation [1934933, 1927167]
FX The authors would like to acknowledge the Municipality of Lisbon for
   publicly providing several databases of the city, namely on tree
   identification and distribution, and several social and ecological
   variables. We also thank Harriet Smith for proof-reading the manuscript
   and the two anonymous referees for their valuable comments and
   suggestions that greatly improved the final version of the manuscript.
   Fundacao para a Ciencia e a Tecnologia (FCT) funded F.G. through a Ph.D.
   scholarship (BIODIV PD/BD/140824/2018) , in the frame of the BIODIV
   doctoral program, and supported C.A. through a Ph.D. scholarship
   (SFRH/BD/141822/2018) , A.N. through the individual call to Scientific
   Employment Stimulus (CEECIND/02453/2018/CP1534/CT0001) , and C.B. and
   M.S.-R. under the FCT/MCTES support agreement to cE3c (DOI:
   10.54499/UIDB/00329/2020) and CHANGE (DOI: 10.54499/LA/P/0121/2020) .
   T.M. is supported by the SMARTer Greener Cities project through the
   Nordforsk Sustainable Urban Development and Smart Cities program
   (project no. 95377) and also by the US National Science Foundation
   (grant nos. 1934933 and 1927167) .
CR [Anonymous], 2021, Censos 2021. Resultados preliminares
   [Anonymous], 2010, The plant list
   Avolio ML, 2018, ECOL MONOGR, V88, P259, DOI 10.1002/ecm.1290
   Ball John, 2007, Arboriculture & Urban Forestry, V33, P350
   Bartens J, 2009, ENVIRON MANAGE, V44, P646, DOI 10.1007/s00267-009-9366-9
   Baselga Andres, 2023, CRAN
   Bigsby KM, 2014, ECOSYSTEMS, V17, P212, DOI 10.1007/s10021-013-9718-4
   Bourne KS, 2014, URBAN ECOSYST, V17, P329, DOI 10.1007/s11252-013-0317-0
   Breger BS, 2019, URBAN FOR URBAN GREE, V43, DOI 10.1016/j.ufug.2019.126382
   Cadotte MW, 2011, J APPL ECOL, V48, P1079, DOI 10.1111/j.1365-2664.2011.02048.x
   Canetti A, 2017, URBAN ECOSYST, V20, P1057, DOI 10.1007/s11252-017-0659-0
   Cariñanos P, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16081357
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Coleman AF, 2022, FORESTS, V13, DOI 10.3390/f13111779
   D'Amato L, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151914065
   Dale AG, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173844
   Dodman D., 2022, Climate Change 2022: Impacts, adaptation, and vulnerability, V1, P907
   Galle NJ, 2021, URBAN FOR URBAN GREE, V61, DOI 10.1016/j.ufug.2021.127099
   Goodness J, 2016, ECOL INDIC, V70, P597, DOI 10.1016/j.ecolind.2016.02.031
   Graça M, 2018, URBAN FOR URBAN GREE, V30, P194, DOI 10.1016/j.ufug.2018.02.001
   Greenwood S, 2017, ECOL LETT, V20, P539, DOI 10.1111/ele.12748
   Grilo F, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00077-7
   Grilo F, 2020, SCI TOTAL ENVIRON, V724, DOI 10.1016/j.scitotenv.2020.138182
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Groffman PM, 2014, FRONT ECOL ENVIRON, V12, P74, DOI 10.1890/120374
   Gross N, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0132
   Huang JG, 2007, LANDSCAPE URBAN PLAN, V82, P184, DOI 10.1016/j.landurbplan.2007.02.010
   Jiao M, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107462
   Jost L., 2010, DIVERSITY-BASEL, V2, P207, DOI DOI 10.3390/d2020207
   Keller Julie Kjeldsen-Kragh, 2012, Arboriculture & Urban Forestry, V38, P24
   Kendal D, 2012, URBAN FOR URBAN GREE, V11, P257, DOI 10.1016/j.ufug.2012.03.005
   Kirkpatrick JB, 2011, LANDSCAPE URBAN PLAN, V101, P244, DOI 10.1016/j.landurbplan.2011.02.029
   Knapp S, 2008, ECOL LETT, V11, P1054, DOI 10.1111/j.1461-0248.2008.01217.x
   Knapp S, 2012, ECOLOGY, V93, pS83, DOI 10.1890/11-0392.1
   Laliberte Etienne, 2023, CRAN
   Larson JE, 2016, J ECOL, V104, P1284, DOI 10.1111/1365-2745.12613
   Lohr VI, 2014, Urban trees worldwide have low species and genetic diversity, posing high risks of tree loss as stresses from climate change increase, DOI [10.17660/ActaHortic.2016.1108.34, DOI 10.17660/ACTAHORTIC.2016.1108.34]
   Lohr VI, 2006, ENVIRON BEHAV, V38, P667, DOI 10.1177/0013916506287355
   Luck GW, 2009, ECOSYSTEMS, V12, P604, DOI 10.1007/s10021-009-9244-6
   Lukac M, 2011, ECOL STUD-ANAL SYNTH, V212, P247, DOI 10.1007/978-90-481-9834-4_14
   Luz AC, 2019, URBAN FOR URBAN GREE, V40, P195, DOI 10.1016/j.ufug.2019.01.009
   Ma BQ, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126826
   Mason NWH, 2013, J VEG SCI, V24, P777, DOI 10.1111/jvs.12097
   Mason NWH, 2005, OIKOS, V111, P112, DOI 10.1111/j.0030-1299.2005.13886.x
   McElhinney A., 2019, Planting for Resilience: Planting Urban Trees in Massachusetts
   McPhearson T., 2023, Nature-Based Solutions for Cities, DOI [10.4337/9781800376762.00013, DOI 10.4337/9781800376762.00013]
   McPhearson T, 2022, ONE EARTH, V5, P505, DOI 10.1016/j.oneear.2022.04.007
   Meineke EK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059687
   Michaletz ST, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.129, 10.1038/nplants.2016.129]
   Mukherjee A, 2018, ECOTOX ENVIRON SAFE, V152, P42, DOI 10.1016/j.ecoenv.2018.01.038
   Mullaney J, 2015, LANDSCAPE URBAN PLAN, V134, P157, DOI 10.1016/j.landurbplan.2014.10.013
   Muyshondt B, 2022, FEMS MICROBIOL ECOL, V98, DOI 10.1093/femsec/fiac106
   Neckerman KM, 2009, J PUBLIC HEALTH POL, V30, pS264, DOI 10.1057/jphp.2008.47
   Nitoslawski SA, 2017, URBAN FOR URBAN GREE, V27, P187, DOI 10.1016/j.ufug.2017.08.002
   Niu HY, 2023, LANDSCAPE URBAN PLAN, V233, DOI 10.1016/j.landurbplan.2023.104712
   Nock CA, 2013, ECOSYSTEMS, V16, P1487, DOI 10.1007/s10021-013-9697-5
   Nowak DJ, 2018, URBAN FOR URBAN GREE, V29, P40, DOI 10.1016/j.ufug.2017.10.019
   Oksanen Jari, 2024, CRAN
   Pakeman RJ, 2007, APPL VEG SCI, V10, P91, DOI 10.1111/j.1654-109X.2007.tb00507.x
   Pan YJ, 2020, FUNCT ECOL, V34, P956, DOI 10.1111/1365-2435.13541
   Paradis E, 2019, BIOINFORMATICS, V35, P526, DOI 10.1093/bioinformatics/bty633
   Pont MB, 2019, ENVIRON PLAN B-URBAN, V46, P1226, DOI 10.1177/2399808319857450
   PORDATA, 2023, ABOUT US
   Pretzsch H, 2015, URBAN FOR URBAN GREE, V14, P466, DOI 10.1016/j.ufug.2015.04.006
   R Core Team, 2022, R LANG ENV STAT COMP
   Raupp MJ, 2010, ANNU REV ENTOMOL, V55, P19, DOI 10.1146/annurev-ento-112408-085351
   Roman LA, 2021, LAND-BASEL, V10, DOI 10.3390/land10040403
   Roman LA, 2018, URBAN FOR URBAN GREE, V31, P157, DOI 10.1016/j.ufug.2018.03.004
   Sarkar C, 2015, LANDSCAPE URBAN PLAN, V143, P112, DOI 10.1016/j.landurbplan.2015.06.013
   Shams ZI, 2020, URBAN FOR URBAN GREE, V47, DOI 10.1016/j.ufug.2019.126473
   Smart N, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.562646
   Sordello R, 2020, ENVIRON EVID, V9, DOI 10.1186/s13750-020-00202-y
   Stovall AEL, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12380-6
   Stratópoulos LMF, 2018, URBAN FOR URBAN GREE, V30, P37, DOI 10.1016/j.ufug.2018.01.011
   Teskey R, 2015, PLANT CELL ENVIRON, V38, P1699, DOI 10.1111/pce.12417
   Pham TTH, 2017, LANDSCAPE URBAN PLAN, V157, P422, DOI 10.1016/j.landurbplan.2016.09.001
   Pham TTH, 2013, URBAN FOR URBAN GREE, V12, P18, DOI 10.1016/j.ufug.2012.09.002
   Tooke TR, 2010, ENVIRON PLANN B, V37, P1040, DOI 10.1068/b36044
   Troy AR, 2007, ENVIRON MANAGE, V40, P394, DOI 10.1007/s00267-006-0112-2
   Villéger S, 2008, ECOLOGY, V89, P2290, DOI 10.1890/07-1206.1
   Westoby M, 1996, PHILOS T R SOC B, V351, P1309, DOI 10.1098/rstb.1996.0114
   Williams NSG, 2009, J ECOL, V97, P4, DOI 10.1111/j.1365-2745.2008.01460.x
   Wood SN, 2011, J ROY STAT SOC B, V73, P3, DOI 10.1111/j.1467-9868.2010.00749.x
   Xu WB, 2020, bioRxiv, DOI [10.1101/2020.11.14.382846, 10.1101/ 2020.11.14.382846, DOI 10.1101/2020.11.14.382846]
   Youngsteadt E, 2015, GLOBAL CHANGE BIOL, V21, P1103, DOI 10.1111/gcb.12791
   Zhu JK, 2001, TRENDS PLANT SCI, V6, P66, DOI 10.1016/S1360-1385(00)01838-0
NR 86
TC 1
Z9 1
U1 14
U2 30
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD JUN 15
PY 2024
VL 929
AR 172552
DI 10.1016/j.scitotenv.2024.172552
EA APR 2024
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA SJ3B5
UT WOS:001234036500001
PM 38643878
OA hybrid
DA 2025-04-22
ER

PT J
AU Boonyabancha, S
   Kerr, T
   Joshi, L
   Tacoli, C
AF Boonyabancha, Somsook
   Kerr, Thomas
   Joshi, Lumanti
   Tacoli, Cecilia
TI How the urban poor define and measure food security in Cambodia and
   Nepal
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE Asian Coalition for Housing Rights (ACHR); Cambodia; food security;
   gender; Nepal; poverty measurement; urban poverty
AB Urban food security, or its lack, is attracting growing interest in global policy debates. Glaringly missing in these conversations, however, are the voices of the urban poor. To fill this gap, grassroots community organizations, with decades-long experience collecting data on their own communities and taking action to improve conditions, decided to ask the urban poor in Cambodia and Nepal how they define and measure food security, what key challenges they face in the daily struggle to put food on the table and what actions might help. Their findings show that access to adequate diets is a major challenge for low-income communities in Asia, and that hunger is widespread, although with great variations and fluctuations between and within households. They also highlight the extraordinary resilience of urban poor women and their multiple strategies to stretch meagre budgets and make sure there is something to eat, even though sometimes this is not enough.
C1 [Tacoli, Cecilia] IIED, 80-86 Grays Inn Rd, London WC1X 8NH, England.
RP Tacoli, C (corresponding author), IIED, 80-86 Grays Inn Rd, London WC1X 8NH, England.
EM somsook@achr.net; achr@achr.net; lumantijoshi@lumanti.org.np;
   cecilia.tacoli@iied.org
FU UK Economic and Social Research Council-Department for International
   Development (ESRC-DFID) Development Frontiers Research Fund 2016-17
   [ES/R002592/1]; ESRC; ESRC [ES/R002592/1] Funding Source: UKRI
FX This article is part of the research project "How the urban poor define
   and measure food security in Cambodia and Nepal", funded by the UK
   Economic and Social Research Council-Department for International
   Development (ESRC-DFID) Development Frontiers Research Fund 2016-17,
   Research Grant Proposal: ES/R002592/1. The support of the ESRC is
   gratefully acknowledged.
CR ACHR, 2014, HOUS PEOPL AS SPEC I
   Battersby J., 2013, CLIMATE CHANGE ASSET
   Beukes A., 2015, IIED and SDI Working Paper
   Boonyabancha S, 2015, ENVIRON URBAN, V27, P605
   Chen M, 2016, ENVIRON URBAN, V28, P331, DOI 10.1177/0956247816662405
   Cohen MJ, 2010, ENVIRON URBAN, V22, P467, DOI 10.1177/0956247810380375
   Crush J., 2010, URBAN FOOD SECURITY, V3
   Heltberg R., 2012, Living Through Crises: How the Food, Fuel, and Financial Shocks Affect the Poor
   Kimani-Murage EW, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129943
   Muungano Support Trust SDI University of Nairobi Dept of Urban and Regional Planning University of California Berkeley and Dept of City and Regional Planning, 2012, MATH ZON PLAN NAIR K
   Prain G., 2010, EFFECTS GLOBAL FINAN
   Rengasamy S, 2001, FARMERS MARKETS TAMI
   Ruel M. T., 2017, Nutrition and Health in a Developing World, P705, DOI 10.1007/978-3-319-43739-2_32
   Sabry S., 2009, 21 INT I ENV DEV
   Tacoli C., 2013, Urban poverty, food security, and climate change
   Tacoli Cecilia., 2015, URBANIZATION RURAL U
NR 16
TC 9
Z9 11
U1 0
U2 12
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD OCT
PY 2019
VL 31
IS 2
BP 517
EP 532
AR 0956247819863246
DI 10.1177/0956247819863246
EA JUL 2019
PG 16
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA JE3BT
UT WOS:000478367200001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Aguilar-Meléndez, A
   Pujades, LG
   Barbat, AH
   Ordaz, MG
   de la Puente, J
   Lantada, N
   Rodríguez-Lozoya, HE
AF Aguilar-Melendez, Armando
   Pujades, Luis G.
   Barbat, Alex H.
   Ordaz, Mario G.
   de la Puente, Josep
   Lantada, Nieves
   Rodriguez-Lozoya, Hector E.
TI A probabilistic approach for seismic risk assessment based on
   vulnerability functions. Application to Barcelona
SO BULLETIN OF EARTHQUAKE ENGINEERING
LA English
DT Article
DE Seismic hazard; Seismic vulnerability; Seismic risk; Vulnerability index
ID CITY; SCENARIOS; CITIES; INDEX
AB Risk assessment and management is an important step towards resilient and sustainable cities. Among many other perils, both natural and manmade, seismic risk is a major threat for resilience and sustainability. In recent decades, several methods for seismic risk assessment have been proposed, including the well-known Vulnerability Index Method (VIM). In this study, a probabilistic version of the VIM, which we call the Vulnerability Index Method-Probabilistic (VIM_P), is proposed. The VIM_P requires essential information on the seismic hazard and on the vulnerability of the building stock. Seismic hazard is determined using the exceedance rates of macroseismic intensities, as defined in the European Macroseismic Scale (EMS). Seismic vulnerability is defined by means of vulnerability probability density functions (pdf) that describe the probability distribution of the corresponding vulnerability index. Beta-like functions are used for these pdfs. VIM_P quantifies seismic vulnerability by means of three vulnerability curves, Lower, Best and Upper, according to the quantity and quality of available information, thus allowing three estimates of seismic vulnerability and risk. Then, seismic risk is computed via the convolution of seismic hazard and seismic vulnerability, considering semi-empirical damage functions. Seismic risk is given through the exceedance frequencies of the damage grades. To highlight the capabilities of the VIM_P, the seismic risk of about 70,000 residential buildings in Barcelona was assessed. According to the results, the exceedance frequency of the collapse damage state for more than the 50% of the buildings in the Eixample district would be greater than 1x10(-5). This confirms the relatively high seismic risk in the city, mainly due to the high vulnerability of the built environment. Specific software, USERISK20015, has been developed for routine applications of VIM_P. It is hoped that VIM_P and this new tool for seismic risk assessment will be useful to stakeholders and civil protection authorities for risk management and prioritizing actions that can help to create more resilient, sustainable cities.
C1 [Aguilar-Melendez, Armando; de la Puente, Josep] BSC, Barcelona, Spain.
   [Aguilar-Melendez, Armando] Univ Veracruzana, Fac Civil Engn, Poza Rica, Mexico.
   [Pujades, Luis G.; Barbat, Alex H.; Lantada, Nieves] UPC, BarcelonaTech, Dept Civil & Environm Engn, Barcelona, Spain.
   [Ordaz, Mario G.] Univ Nacl Autonoma Mexico, Inst Engn, Mexico City, DF, Mexico.
   [Rodriguez-Lozoya, Hector E.] UAS, Fac Engn, Culiacan, Mexico.
C3 Universidad Veracruzana; Universitat Politecnica de Catalunya;
   Universidad Nacional Autonoma de Mexico; Universidad Autonoma de Sinaloa
RP Aguilar-Meléndez, A (corresponding author), BSC, Barcelona, Spain.; Aguilar-Meléndez, A (corresponding author), Univ Veracruzana, Fac Civil Engn, Poza Rica, Mexico.
EM aguilar.uv2@gmail.com
RI Pujades, Luis/M-2870-2014; de la Puente, Josep/ABF-6142-2021; Schroeder,
   Mario/AAI-9267-2020; Aguilar, Armando/J-7423-2016; Barbat, Alex
   H./M-6206-2013; Lantada, Nieves/B-6611-2016
OI AGUILAR-MELENDEZ, ARMANDO/0000-0001-9044-7786; Barbat, Alex
   H./0000-0002-3649-8053; Ordaz, Mario/0000-0002-0303-3524; Lantada,
   Nieves/0000-0002-9974-6915
FU Barcelona Supercomputing Center (BSC), CONACyT; Universidad Veracruzana;
   Ministry of Economy and Competitiveness (MINECO) of the Spanish
   Government; European Regional Development Fund (ERDF) of the European
   Union (EU) [CGL2011-23621, CGL2015-65913 -P]
FX This study was made possible by the support of the Barcelona
   Supercomputing Center (BSC), CONACyT, and the Universidad Veracruzana.
   The research was partially funded by the Ministry of Economy and
   Competitiveness (MINECO) of the Spanish Government and by the European
   Regional Development Fund (ERDF) of the European Union (EU) through
   projects with references CGL2011-23621 and CGL2015-65913 -P
   (MINECO/ERDF, EU).
CR Aguilar A., 2008, P 14 WORLD C EARTHQ, P12
   Aguilar-Melendez A, 2011, THESIS
   Aguilar-Melendez A, 2016, USERISK2015 PROGRAM
   Aguilar-Melendez A, 2018, URBAN RESILIENCE RIS
   Aguilar-Melendez A, 2013, P 19 C NAC ING SISM, P1
   [Anonymous], 2015, A/CONF.224/CRP.1
   [Anonymous], 1985, EARTHQ DAM EV
   [Anonymous], 2005, THESIS
   [Anonymous], 2004, EVK4CT200000014
   Aranda-Caballero, 2015, REV INT DESASTRES NA, V15, P5
   ATC, 1991, Report No. ATC-25)
   Athmani AE, 2015, B EARTHQ ENG, V13, P2283, DOI 10.1007/s10518-014-9717-7
   Barbat AH, 2006, GEOT GEOL EARTHQUAKE, V2, P115
   BENEDETTI D, 1988, EARTHQUAKE ENG STRUC, V16, P183, DOI 10.1002/eqe.4290160203
   Bernardini A., 2000, VULNERABILITA EDIFIC
   BRGM, 2004, EVK4CT200000014 BRGM
   Cardona O. D., 2012, 15 WORLD C EARTHQ EN, P24
   Casado CL, 2000, B SEISMOL SOC AM, V90, P34, DOI 10.1785/0119980116
   Castillo A, 2011, NAT HAZARDS, V59, P891, DOI 10.1007/s11069-011-9805-9
   Cherif SE, 2017, NAT HAZARDS, V85, P329, DOI 10.1007/s11069-016-2566-8
   CORNELL CA, 1968, B SEISMOL SOC AM, V58, P1583
   Cornell CA, 1964, THESIS
   Dolce M, 2006, ENG STRUCT, V28, P357, DOI 10.1016/j.engstruct.2005.08.009
   Douglas J., 2018, Ground motion prediction equations 1964-2018
   Ellingwood BR, 2006, J PERFORM CONSTR FAC, V20, P315, DOI 10.1061/(ASCE)0887-3828(2006)20:4(315)
   Esteva L., 1969, P MIT S SEISM DES NU
   ESTEVA L, 1968, THESIS
   FEMA, 1999, TECHNICAL MANUAL, V1
   FEMA, 2015, HAZUS MH 2 1 MULT HA
   Giovinazzi S., 2006, Proceedings of the New Zealand Society for Earthquake Engineering Conference (NZSEE), number, P1
   Goded T, 2012, B EARTHQ ENG, V10, P839, DOI 10.1007/s10518-011-9321-z
   Goded T, 2016, VULNERABILITY ANAL U
   Grunthal G., 1998, European macroseismic scale 1998, V15, DOI DOI 10.2312/EMS-98.full.en
   Guardiola-Víllora A, 2015, REV INT METOD NUMER, V31, P81, DOI 10.1016/j.rimni.2014.01.002
   ICC/CIMNE, 2004, WP08 ICCCIMNE
   ISDR-UN, 2005, WORLD C DIS RED, V380
   Kappos AJ, 2008, SOIL DYN EARTHQ ENG, V28, P836, DOI 10.1016/j.soildyn.2007.10.017
   Kostov M, 2004, EVK4CT200000014
   Lagomarsino S, 2006, B EARTHQ ENG, V4, P415, DOI 10.1007/s10518-006-9024-z
   Lantada N, 2010, B EARTHQ ENG, V8, P201, DOI 10.1007/s10518-009-9148-z
   Lantada N., 2009, ESCENARIOS RIESGO SI, VII
   Lantada N, 2010, P 9 US NAT 10 CAN C, P1
   Lantada N, 2007, THESIS, V1
   Lantada N, 2009, NAT HAZARDS, V51, P501, DOI 10.1007/s11069-007-9212-4
   Lestuzzi P, 2016, NAT HAZARDS, V84, P249, DOI 10.1007/s11069-016-2420-z
   Lungu D, 2004, EVK4CT200000014
   Marulanda MC, 2013, NAT HAZARDS, V69, P59, DOI 10.1007/s11069-013-0685-z
   Marzocchi W, 2015, B SEISMOL SOC AM, V105, P2151, DOI 10.1785/0120140131
   McGuire RK, 2004, MNO10 OAKL EARTHQ EN
   Milutinovic Z. V., 2003, European Project EVK4-CT-2000-00014
   Milutinovic ZV, 2004, RISK-UEAn advanced approach to earthquake risk scenarios with applications to different European towns Contract: EVK4-CT-2000-00014. WP9: Application to Bitola
   Mouroux P, 2006, B EARTHQ ENG, V4, P323, DOI 10.1007/s10518-006-9020-3
   González-Rocha SN, 2017, COMPUT SIST, V21, P35, DOI [10.13053/CyS-21-1-2581, 10.13053/cys-21-1-2581, 10.13053/cys-21-1-2578]
   Ordaz M, 2013, PROGRAM COMPUTING SE
   Ordaz M, 2017, PROGRAM COMPUTING SE
   Ordaz M, 2015, PROGRAM COMPUTING SE
   Pitilakis K, 2006, ADV EARTHQUAKE ENG U
   Roca, 1997, P 2 C REG GEOL CART, P173
   Scuderi, 2004, EVK4CT200000014
   Secanell R, 2004, J SEISMOL, V8, P25, DOI 10.1023/B:JOSE.0000009516.91044.51
   Spence R, 2006, B EARTHQ ENG, V4, P319, DOI 10.1007/s10518-006-9019-9
NR 61
TC 19
Z9 20
U1 4
U2 32
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1570-761X
EI 1573-1456
J9 B EARTHQ ENG
JI Bull. Earthq. Eng.
PD APR
PY 2019
VL 17
IS 4
BP 1863
EP 1890
DI 10.1007/s10518-018-0516-4
PG 28
WC Engineering, Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA HO4KR
UT WOS:000460891900004
DA 2025-04-22
ER

PT J
AU Boeing, G
AF Boeing, Geoff
TI A multi-scale analysis of 27,000 urban street networks: Every US city,
   town, urbanized area, and Zillow neighborhood
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE GIS; network analysis; OpenStreetMap; street networks; urban form; urban
   morphology
ID AVERAGE CONNECTIVITY; OPENSTREETMAP; PAGERANK; RANKING
AB OpenStreetMap offers a valuable source of worldwide geospatial data useful to urban researchers. This study uses the OSMnx software to automatically download and analyze 27,000 US street networks from OpenStreetMap at metropolitan, municipal, and neighborhood scales-namely, every US city and town, census urbanized area, and Zillow-defined neighborhood. It presents empirical findings on US urban form and street network characteristics, emphasizing measures relevant to graph theory, transportation, urban design, and morphology such as structure, connectedness, density, centrality, and resilience. In the past, street network data acquisition and processing have been challenging and ad hoc. This study illustrates the use of OSMnx and OpenStreetMap to consistently conduct street network analysis with extremely large sample sizes, with clearly defined network definitions and extents for reproducibility, and using nonplanar, directed graphs. These street networks and measures data have been shared in a public repository for other researchers to use.
C1 [Boeing, Geoff] Univ Calif, Berkeley, CA USA.
C3 University of California System; University of California Berkeley
RP Boeing, G (corresponding author), Northeastern Univ, Sch Publ Policy & Urban Affairs, 360 Huntington Ave,310 Renaissance Pk, Boston, MA 02115 USA.
EM g.boeing@northeastern.edu
RI Boeing, Geoff/P-3238-2019; Boeing, Geoff/O-9769-2016
OI Boeing, Geoff/0000-0003-1851-6411
CR Agryzkov T, 2012, APPL MATH COMPUT, V219, P2186, DOI 10.1016/j.amc.2012.08.064
   Albert R, 2002, REV MOD PHYS, V74, P47, DOI 10.1103/RevModPhys.74.47
   Albrecht J., 2014, TECHNICAL REPORT
   [Anonymous], 2017, URBAN STUD, DOI DOI 10.1177/0042098015601599
   [Anonymous], 2010, 2010 CENS URB RUR CL
   [Anonymous], 2011, PHYS REPORTS
   [Anonymous], 1994, Introduction to Graph Theory
   [Anonymous], 2002, T GIS
   Arsanjani JJ, 2015, LECT NOTES GEOINF CA, P1, DOI 10.1007/978-3-319-14280-7
   Barthélemy M, 2004, EUR PHYS J B, V38, P163, DOI 10.1140/epjb/e2004-00111-4
   Barthélemy M, 2008, PHYS REV LETT, V100, DOI 10.1103/PhysRevLett.100.138702
   Batty M., 2003, Re-Presenting Geographical Information Systems, P149
   Beineke LW, 2002, DISCRETE MATH, V252, P31, DOI 10.1016/S0012-365X(01)00180-7
   Besbris M, 2015, P NATL ACAD SCI USA, V112, P4994, DOI 10.1073/pnas.1414139112
   Boeing G., 2018, ENV PLANNING B
   Boeing G.M., 2018, MATH URBAN MORPHOLOG, P271, DOI [10.2139/ssrn.3119939, DOI 10.2139/SSRN.3119939]
   Boeing G, 2017, COMPUT ENVIRON URBAN, V65, P126, DOI 10.1016/j.compenvurbsys.2017.05.004
   Brandes U., 2005, Network Analysis: Methodological Foundations, DOI DOI 10.1007/B106453
   Brin S, 1998, COMPUT NETWORKS ISDN, V30, P107, DOI 10.1016/S0169-7552(98)00110-X
   Buhl J, 2006, EUR PHYS J B, V49, P513, DOI 10.1140/epjb/e2006-00085-1
   Cardillo A, 2006, PHYS REV E, V73, DOI 10.1103/PhysRevE.73.066107
   Chin WCB, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0139509
   Corcoran P, 2013, SPAT STAT-NETH, V3, P21, DOI 10.1016/j.spasta.2013.01.002
   Costa LD, 2007, ADV PHYS, V56, P167, DOI 10.1080/00018730601170527
   Cranmer SJ, 2017, AM J POLIT SCI, V61, P237, DOI 10.1111/ajps.12263
   Crucitti P, 2006, CHAOS, V16, DOI 10.1063/1.2150162
   Crucitti P, 2006, PHYS REV E, V73, DOI 10.1103/PhysRevE.73.036125
   Dankelmann P, 2003, DISCRETE APPL MATH, V129, P305, DOI 10.1016/S0166-218X(02)00572-3
   Dorogovtsev SN, 2002, ADV PHYS, V51, P1079, DOI 10.1080/00018730110112519
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Frizzelle BG, 2009, INT J HEALTH GEOGR, V8, DOI 10.1186/1476-072X-8-24
   Gleich DF, 2015, SIAM REV, V57, P321, DOI 10.1137/140976649
   Haklay M, 2010, ENVIRON PLANN B, V37, P682, DOI 10.1068/b35097
   Huang XK, 2016, IEEE T VIS COMPUT GR, V22, P160, DOI 10.1109/TVCG.2015.2467771
   Jiang B, 2004, ENVIRON PLANN B, V31, P151, DOI 10.1068/b306
   Jiang B, 2009, INT J GEOGR INF SCI, V23, P823, DOI 10.1080/13658810802022822
   Maron M., 2015, COMPLETE IS OPENSTRE
   Masucci AP, 2009, EUR PHYS J B, V71, P259, DOI 10.1140/epjb/e2009-00290-4
   Newman MEJ, 2004, PHYS REV E, V69, DOI 10.1103/PhysRevE.69.066133
   Newman MEJ, 2003, SIAM REV, V45, P167, DOI 10.1137/S003614450342480
   O'Sullivan D., 2014, HDB REGIONAL SCI, P1253, DOI DOI 10.1007/978-3-642-23430-9_67
   Opsahl T, 2009, SOC NETWORKS, V31, P155, DOI 10.1016/j.socnet.2009.02.002
   Over M, 2010, COMPUT ENVIRON URBAN, V34, P496, DOI 10.1016/j.compenvurbsys.2010.05.001
   Porta S, 2006, PHYSICA A, V369, P853, DOI 10.1016/j.physa.2005.12.063
   Ratti C, 2004, ENVIRON PLANN B, V31, P487, DOI 10.1068/b3019
   Schernthanner H, 2016, LECT NOTES COMPUT SC, V9788, P120, DOI 10.1007/978-3-319-42111-7_11
   Sherraden M., 2005, INCLUSION AM DREAM A
   Southworth M., 1997, Streets and the shaping of towns and cities
   Strano E, 2013, ENVIRON PLANN B, V40, P1071, DOI 10.1068/b38216
   Talen E., 2003, J URBAN DES, V8, P195, DOI DOI 10.1080/1357480032000155141
   Wu J., 2005, Transactions in GIS, V9, P585, DOI DOI 10.1111/j.1467-9671.2005.00236.x
   Zielstra D, 2011, TRANSPORT RES REC, P145, DOI 10.3141/2217-18
   [No title captured]
   [No title captured]
   [No title captured]
NR 55
TC 122
Z9 138
U1 21
U2 261
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 2399-8083
EI 2399-8091
J9 ENVIRON PLAN B-URBAN
JI Env. Plan. B-Urban Anal. CIty Sci.
PD MAY
PY 2020
VL 47
IS 4
BP 590
EP 608
DI 10.1177/2399808318784595
PG 19
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA LN5AO
UT WOS:000532950200003
OA Green Published, Green Submitted
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Nam, S
   Lee, SO
AF Nam, Seowoo
   Lee, Seung-Ook
TI URBAN REGENERATION IN SEOUL: Alternative Urbanism or the Resilience of
   Neoliberal Urbanism?
SO INTERNATIONAL JOURNAL OF URBAN AND REGIONAL RESEARCH
LA English
DT Article
DE urban regeneration; Asian urbanism; neoliberal urbanism;
   post-developmental urbanism
ID ASIAN CITIES; GENTRIFICATION; REDEVELOPMENT; URBANIZATION; POLITICS
AB Park Won-soon, the former mayor of Seoul, put forward a new vision of Seoul as a progressive city, and one of his signatures was the promotion of a new urban regeneration policy called the Seoul-type Urban Regeneration Model (SUR). It was first presented as a solution to compressed and profit-oriented urban redevelopment but evolved into an alternative model which conveyed the worlding desire of the Seoul Metropolitan Government to redefine Asian urbanism beyond developmentalism or neoliberalism. In this article, we argue that the SUR demonstrates a mixture of post-developmentalist features and the lingering impact of neoliberal rationalities. Specifically, we problematize SUR's hybrid aspirations for urban competitiveness, improved quality of life and participatory governance by articulating how the pursuit of a globally competitive city conflicts with and overrides other values and how citizen-centered governance was exploited as an efficient mechanism of neoliberal urbanism.
C1 [Nam, Seowoo] Delft Univ Technol, Fac Ind Design Engn, Delft, Netherlands.
   [Lee, Seung-Ook] Korea Adv Inst Sci & Technol, Sch Digital Humanities & Computat Social Sci, Daejeon 34141, South Korea.
C3 Delft University of Technology; Korea Advanced Institute of Science &
   Technology (KAIST)
RP Nam, S (corresponding author), Delft Univ Technol, Fac Ind Design Engn, Delft, Netherlands.
EM s.nam-2@student.tudelft.nl; geolee@kaist.ac.kr
RI Lee, Seung-Ook/C-4530-2016
CR [Anonymous], 2013, Enforcement Decree of the Special Act on Promotion of and Support for Urban Regeneration
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Brenner N., 2017, Critique of Urbanization: Selected Essays
   Bunnell T, 2012, URBAN STUD, V49, P2785, DOI 10.1177/0042098012452454
   Bunnell T, 2010, URBAN GEOGR, V31, P277, DOI 10.2747/0272-3638.31.3.277
   Chang K., 2020, CHOSUN ILBO
   Chen Y., 2013, ROUTLEDGE COMPANION
   Chen Yi-Ling, 2019, Neoliberal urbanism, contested cities and housing in Asia
   Cho, 2011, KOREAN ASS SPACE ENV, V37, P39
   Cho ImSik., 2017, COMMUNITY BASED URBA
   Cho M., 2005, POWER PEOPLE CIVIL E
   Cho M.R., 2019, The rise of progressive cities East and West
   Choi Byung-Doo, 2012, Locating Neoliberalism in East Asia: Neoliberalizing Spaces in Developmental States
   Choi H., 2021, OHMYNEWS
   Choi J., 2021, HANKYOREH
   Chua B., 2011, WORLDING CITIES ASIA
   Chun H., 2022, KBS NEWS
   Chung D., 2019, WELFARE NEWS
   Chung H., 2021, SEOUL SHINMUN
   Collingridge V., 2014, S CHINA MORNING POST
   Doucette J, 2021, ROUTL ADV KOREAN STU, P103
   Doucette J, 2022, URBAN GEOGR, V43, P134, DOI 10.1080/02723638.2021.2003587
   Ha S-K., 2018, URBAN REGENERATION G
   Ha SK, 2001, HABITAT INT, V25, P385, DOI 10.1016/S0197-3975(01)00011-X
   Han E., 2021, JOONGANG ILBO
   He SJ, 2009, ANTIPODE, V41, P282, DOI 10.1111/j.1467-8330.2009.00673.x
   Hogan T, 2012, CITIES, V29, P59, DOI 10.1016/j.cities.2011.01.001
   Huh N., 2021, KYUNGHYANG NEWSPAPER
   Jang N., 2021, URBAN PLANNERS, P37
   Joo Yu-Min., 2018, Megacity Seoul: Urbanization and the Development of Modern South Korea
   Jung Hak-Sung, 2020, [Journal of the Association of Korean Geographers, 한국지리학회지], V9, P533, DOI 10.25202/JAKG.9.3.6
   Kang D., 2014, CHOSUN NEWSPAPER
   Khanna P., 2010, FOREIGN POLICY 0806
   Kim C., 2019, KYUNGHYANG NEWS 0101
   Kim D., 2021, SISAIN
   kim HyeCheun, 2013, [Journal of The Korean Urban Management Association, 도시행정학보], V26, P1
   Kim Jieun, 2018, [Space and Environment, 공간과 사회], V28, P112, DOI 10.19097/kaser.2018.28.3.112
   Kim J, 2019, COMMUNITY DEV J, V54, P406, DOI 10.1093/cdj/bsx051
   Kim K., 2021, THESIS URBAN DESIGN
   Kim Ki-seong., 2018, Hankyoreh
   Kim K, 2021, LAND USE POLICY, V105, DOI 10.1016/j.landusepol.2021.105433
   Kim M., 2019, HANKYOREH
   Kim Y., 2009, Q CHANGBI, V37, P339
   Lancione M, 2021, Global Urbanism Knowledge. Power and the City
   Leary M.E., 2013, The Routledge companion to urban regeneration
   Lee D., 2018, PRESSIAN
   Lee J., 2020, CHOSUN ILBO
   Lee S-H., 2013, JOONGANG
   Lee SY, 2018, URBAN STUD, V55, P2603, DOI 10.1177/0042098017727712
   Lee SO, 2010, POLIT GEOGR, V29, P359, DOI 10.1016/j.polgeo.2010.07.005
   Lees L, 2014, ANTIPODE, V46, P921, DOI 10.1111/anti.12020
   Lovering J, 2007, INT PLAN STUD, V12, P343, DOI 10.1080/13563470701745504
   Magalhaes C., 2015, INT ENCY SOCIAL BEHA
   Ong A, 2011, STUD URBAN SOC CH, P1
   Park, 2013, SAEROUN BYEONHWA SIM
   Park, 2016, SIMINGWA HAMKKE SEGY
   Park Bae-Gyoon., 2011, Korean Social Sciences Review, V1, P185
   Park Bae-Gyoon., 2012, Locating Neoliberalism in East Asia
   Park C., 2016, SPACE SOC, V57, P223
   Park H., 2021, THESIS EWHA WOMANS U
   Park J-H., 2013, SPACE ENV, V43, P5
   PARK S. H., 2019, The Wiley-Blackwell encyclopedia of urban and regional studies
   Park W-s., 2017, SARAMTEUKBYEOLSI SEO
   Parnell S, 2012, URBAN GEOGR, V33, P593, DOI 10.2747/0272-3638.33.4.593
   Peck J, 2019, S ATL Q, V118, P245, DOI 10.1215/00382876-7381122
   Roberts P., 2016, URBAN REGENERATION S
   Schwab Klaus, 2017, The Fourth Industrial Revolution
   Seoul Solution, 2017, SEOULS URB REG MOD
   Shin H.B., 2019, The Wiley Blackwell Encyclopedia of Urban and Regional Studies, P1, DOI [10.1002/9781118568446.eurs0541, DOI 10.1002/9781118568446.EURS0541]
   Shin H.B., 2017, MEGA URBANIZATION GL, P83
   Shin HB, 2016, URBAN STUD, V53, P540, DOI 10.1177/0042098014565745
   Shin HB, 2009, GEOFORUM, V40, P906, DOI 10.1016/j.geoforum.2009.06.009
   Shin HyunBang., 2020, City, V24, P244, DOI [https://doi.org/10.1080/13604813.2020.1739925, DOI 10.1080/13604813.2020.1739925]
   SMG (Seoul Metropolitan Government), 2015, 2025 SEOULH DOS JEOL
   SMG (Seoul Metropolitan Government), BAS DIR URB REG
   SMG (Seoul Metropolitan Government), 2014, 2030 SEOUL PLAN
   SMG (Seoul Metropolitan Government), 2018, 2025 SEOULH DOSIJ JE
   Smith N., 1996, The new urban frontier: Gentrification and the revanchist city
   Smith N., 2006, FRONTIERS CAPITAL ET, P191
   Swyngedouw E, 2005, URBAN STUD, V42, P1991, DOI 10.1080/00420980500279869
   Swyngedouw E, 2009, INT J URBAN REGIONAL, V33, P601, DOI 10.1111/j.1468-2427.2009.00859.x
   Tallon A., 2010, Urban regeneration and renewal
   TALLON A.R., 2013, Urban Regeneration in the UK, DOI DOI 10.4324/9780203802847
   Taylor M, 2007, URBAN STUD, V44, P297, DOI 10.1080/00420980601074987
   Wade R, 1998, NEW LEFT REV, P3
   Waley P, 2013, CITIES, V32, P43, DOI 10.1016/j.cities.2013.02.005
   Yeung YM, 2011, ASIAN GEOGR, V28, P65, DOI 10.1080/10225706.2011.577975
   Zumelzu Z., 2019, THE WILEY BLACKWELL
NR 88
TC 6
Z9 6
U1 4
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0309-1317
EI 1468-2427
J9 INT J URBAN REGIONAL
JI Int. J. Urban Reg. Res.
PD JUL
PY 2023
VL 47
IS 4
BP 601
EP 623
DI 10.1111/1468-2427.13180
EA JUN 2023
PG 23
WC Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration; Urban Studies
GA M9LN2
UT WOS:001019237300001
DA 2025-04-22
ER

PT J
AU Wang, QC
   He, P
   Li, YB
   Hou, YT
   Jian, YI
   Liu, X
AF Wang, Qian-Cheng
   He, Ping
   Li, Yibin
   Hou, Yuting
   Jian, Yi Izzy
   Liu, Xuan
TI Towards a human-centric city emergency response: Modelling activity
   patterns of urban population
SO DEVELOPMENTS IN THE BUILT ENVIRONMENT
LA English
DT Article
DE Human-centric management; Urban built environment; City emergency;
   Community resilience; Activity pattern; Working pattern
ID TIME-USE; CHOICE MODEL; SIMULATION; BEHAVIOR
AB Human-centric management is emerging as a new trend in urban emergency response, which develops management and resource allocation strategies based on activity patterns of urban population and their derived demands. This study aims to construct an MDCEV-based model to capture the activity patternss of different types of residents during urban emergencies. Using a case study in Shanghai, China, the study calibrates and validates the model using resident survey data. In addition, we conducted scenario analyses to explore the impact of promoting community service participation, remote work experiences, and various working patterns on residents' activity patterns. The research discusses the heterogeneity of time allocation patterns among different resident types in urban emergency management contexts and highlights the influence of external interventions on resident activities. Our findings contribute to the development of supporting measures for vulnerable residents and human-centric city emergency response strategies.
C1 [Wang, Qian-Cheng; Li, Yibin] Univ Cambridge, Dept Land Econ, Cambridge CB3 9EP, England.
   [He, Ping; Hou, Yuting] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hung Hom, Hong Kong 999997, Peoples R China.
   [Jian, Yi Izzy] Educ Univ Hong Kong, Dept Social Sci & Policy Studies, Hong Kong, Peoples R China.
   [Liu, Xuan] Eindhoven Univ Technol, Dept Built Environm, NL-5600 MB Eindhoven, Netherlands.
C3 University of Cambridge; Hong Kong Polytechnic University; Education
   University of Hong Kong (EdUHK); Eindhoven University of Technology
RP Liu, X (corresponding author), Eindhoven Univ Technol, Dept Built Environm, NL-5600 MB Eindhoven, Netherlands.
RI Wang, Qian-Cheng/AET-2058-2022; JIAN, Izzy Yi/AAP-7107-2020; LIU,
   XUAN/ADM-8253-2022
OI LIU, XUAN/0000-0001-9433-4033
FU Departmental Special Project Research Grant of the Department of Social
   Science and Policy Studies, The Education University of Hong Kong
   [0400I]; Departmental Start-Up Research Grant of the Department of
   Social Science and Policy Studies, The Education University of Hong Kong
   [RG 60/2023-2024R]; Cambridge Trust Scholarships; Henry Lester Trust
   Scholarship; Hong Kong Polytechnic University PhD Scholars International
   Collaborative Research Fellowship
FX The author gratefully acknowledges the funding support from the
   Departmental Special Project Research Grant of the Department of Social
   Science and Policy Studies, The Education University of Hong Kong
   (Project No. 0400I) , the Departmental Start-Up Research Grant of the
   Department of Social Science and Policy Studies, The Education
   University of Hong Kong (Project No. RG 60/2023-2024R) , Cambridge Trust
   Scholarships, the Henry Lester Trust Scholarship, and the Hong Kong
   Polytechnic University PhD Scholars International Collaborative Research
   Fellowship.
CR Andrew A., 2020, Family time use and home learning during the COVID-19 lockdown, DOI DOI 10.1920/RE.IFS.2020.0178
   Astroza S, 2018, J CHOICE MODEL, V28, P56, DOI 10.1016/j.jocm.2018.05.004
   Batur I., 2023, Analysis of changes in time use and activity participation in response to the COVID-19 pandemic in the United States: implications for well-being, DOI [10.1177/03611981231165020, DOI 10.1177/03611981231165020]
   Beall JM, 2022, WELLBEING SPACE SOC, V3, DOI 10.1016/j.wss.2022.100094
   Bhat CR, 2008, TRANSPORT RES B-METH, V42, P274, DOI 10.1016/j.trb.2007.06.002
   Bhat CR, 2022, TRANSPORT RES B-METH, V156, P28, DOI 10.1016/j.trb.2021.12.013
   Bhat CR, 2018, TRANSPORT RES B-METH, V110, P261, DOI 10.1016/j.trb.2018.02.011
   Bhat CR, 2016, TRANSPORT RES B-METH, V91, P52, DOI 10.1016/j.trb.2016.03.007
   Bhat CR, 2015, TRANSPORT RES B-METH, V79, P161, DOI 10.1016/j.trb.2015.05.021
   Bhat CR, 2005, TRANSPORT RES B-METH, V39, P679, DOI 10.1016/j.trb.2004.08.003
   Brajsa-Zganec A, 2011, SOC INDIC RES, V102, P81, DOI 10.1007/s11205-010-9724-2
   Brodeur A, 2021, J PUBLIC ECON, V193, DOI 10.1016/j.jpubeco.2020.104346
   Bu FF, 2021, BRIT J PSYCHIAT, V219, P551, DOI 10.1192/bjp.2021.44
   Burki T, 2022, LANCET RESP MED, V10, pE58, DOI 10.1016/S2213-2600(22)00142-4
   Cellini N, 2020, J SLEEP RES, V29, DOI 10.1111/jsr.13074
   Chen ZY, 2022, LANCET REG HEALTH-W, V29, DOI 10.1016/j.lanwpc.2022.100592
   Cheng CH, 2009, EXPERT SYST APPL, V36, P4176, DOI 10.1016/j.eswa.2008.04.003
   Cimellaro GP, 2016, Urban Resilience for Emergency Response and Recovery, V41, DOI 10.1007978-3-319-30656-8
   Costa C, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19041990
   Costa DG, 2022, IEEE ACCESS, V10, P61843, DOI 10.1109/ACCESS.2022.3180033
   Counted V, 2022, J POSIT PSYCHOL, V17, P70, DOI 10.1080/17439760.2020.1832247
   D'Alessandro Daniela, 2020, Acta Biomed, V91, P61, DOI 10.23750/abm.v91i9-S.10115
   Dargin JS, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0234381
   Ding YF, 2024, J SAF SCI RESIL, V5, P355, DOI 10.1016/j.jnlssr.2024.04.002
   Ding YF, 2023, J BUILD ENG, V77, DOI 10.1016/j.jobe.2023.107416
   Dolce V, 2024, CURR PSYCHOL, V43, P24915, DOI 10.1007/s12144-024-06193-0
   Eiser JR, 2012, INT J DISAST RISK RE, V1, P5, DOI 10.1016/j.ijdrr.2012.05.002
   Foa RS., 2020, COVID 19 SUBJECTIVE, DOI [DOI 10.2139/SSRN.3674080, 10.2139/SSRN.3674080]
   Franch-Pardo I, 2020, SCI TOTAL ENVIRON, V739, DOI 10.1016/j.scitotenv.2020.140033
   Giurge L.M., 2020, Uncovering Inequalities in Time-Use and Well-Being during COVID-19: A Multi-Country Investigation
   Henkey T, 2018, URBAN EMERGENCY MANAGEMENT: PLANNING AND RESPONSE FOR THE 21ST CENTURY, P1
   Henson KM, 2009, TRANSP LETT, V1, P19, DOI 10.3328/TL.2009.01.01.19-39
   Iraganaboina NC, 2021, ENERG BUILDINGS, V240, DOI 10.1016/j.enbuild.2021.110934
   Janc M, 2024, INT J OCCUP MED ENV, V37, P34, DOI 10.13075/ijomeh.1896.02320
   Kimpton A, 2017, APPL GEOGR, V82, P129, DOI 10.1016/j.apgeog.2017.03.016
   Lai S, 2023, INT J EQUITY HEALTH, V22, DOI 10.1186/s12939-023-02022-1
   Liu X, 2023, APPL ENERG, V350, DOI 10.1016/j.apenergy.2023.121706
   Lu C, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19031121
   Mondal A, 2021, TRANSPORT RES B-METH, V147, P42, DOI 10.1016/j.trb.2021.03.005
   Nie P, 2017, SOC INDIC RES, V132, P489, DOI 10.1007/s11205-015-1227-8
   Palma D, 2023, TRANSPORT RES A-POL, V176, DOI 10.1016/j.tra.2023.103796
   Park JY, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103524
   Park S, 2023, TECHNOL FORECAST SOC, V186, DOI 10.1016/j.techfore.2022.122113
   Pel AJ, 2012, TRANSPORTATION, V39, P97, DOI 10.1007/s11116-011-9320-6
   Qian ZC, 2020, J ETHN MIGR STUD, V46, P3920, DOI 10.1080/1369183X.2019.1592883
   Saxena S, 2022, TRANSPORT RES B-METH, V166, P259, DOI 10.1016/j.trb.2022.09.008
   Shirmohammadi M, 2022, HUM RESOUR DEV INT, V25, P163, DOI 10.1080/13678868.2022.2047380
   Sibley CG, 2020, AM PSYCHOL, V75, P618, DOI 10.1037/amp0000662
   Simon J, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-10351-5
   Su C, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19148612
   Sun Y, 2022, J FLOOD RISK MANAG, V15, DOI 10.1111/jfr3.12826
   Survey and Research Center for China Household Finance, 2017, China household finance survey
   Taff BD, 2021, LAND-BASEL, V10, DOI 10.3390/land10121396
   Tapia RJ, 2020, TRANSPORT RES A-POL, V133, P255, DOI 10.1016/j.tra.2020.01.016
   Toledo T, 2018, INT J DISAST RISK RE, V31, P1366, DOI 10.1016/j.ijdrr.2018.03.033
   Train KE, 2009, DISCRETE CHOICE METHODS WITH SIMULATION, 2ND EDITION, P1, DOI 10.1017/CBO9780511805271
   Tran PB, 2020, BMJ GLOB HEALTH, V5, DOI 10.1136/bmjgh-2020-002504
   Valkenburg PM, 2022, CURR OPIN PSYCHOL, V45, DOI 10.1016/j.copsyc.2021.12.006
   Vieira KM, 2021, J BEHAV EXP FINANC, V31, DOI 10.1016/j.jbef.2021.100554
   Wang Q.C., 2025, Digit. Eng, DOI [10.1016/j.dte.2025.100035, DOI 10.1016/J.DTE.2025.100035]
   Wang QC, 2023, DEV BUILT ENVIRON, V16, DOI 10.1016/j.dibe.2023.100271
   Wang QC, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104745
   Wang QC, 2023, ENVIRON IMPACT ASSES, V99, DOI 10.1016/j.eiar.2022.107012
   Wilkinson A, 2020, ENVIRON URBAN, V32, P503, DOI 10.1177/0956247820922843
   Yin J, 2021, ENVIRON PLAN B-URBAN, V48, P2239, DOI 10.1177/2399808320971304
   Yin WH, 2014, TRANSPORT RES C-EMER, V42, P44, DOI 10.1016/j.trc.2014.02.015
   Yoon I, 2024, DEV BUILT ENVIRON, V17, DOI 10.1016/j.dibe.2024.100336
   Yu CR, 2023, BUILD SERV ENG RES T, V44, P381, DOI 10.1177/01436244231174354
   Yuan RK, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-14782-x
   Zhan QM, 2024, GEO-SPAT INF SCI, V27, P95, DOI 10.1080/10095020.2022.2085187
   Zhang XN, 2024, DEV BUILT ENVIRON, V18, DOI 10.1016/j.dibe.2024.100381
   Zhang XX, 2022, LANCET, V399, P2011, DOI 10.1016/S0140-6736(22)00838-8
   Zhang YX, 2025, FIRE TECHNOL, DOI 10.1007/s10694-024-01668-9
   Zhao ZY, 2023, SUSTAIN ENERGY TECHN, V56, DOI 10.1016/j.seta.2023.103018
   Zhou L, 2023, APPL GEOGR, V152, DOI 10.1016/j.apgeog.2023.102889
   Zhou XX, 2022, OCEAN COAST MANAGE, V230, DOI 10.1016/j.ocecoaman.2022.106339
   Zhou YH, 2024, SUSTAIN CITIES SOC, V108, DOI 10.1016/j.scs.2024.105512
NR 77
TC 0
Z9 0
U1 4
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2666-1659
J9 DEV BUILT ENVIRON
JI Dev. Built Environ.
PD MAR
PY 2025
VL 21
AR 100633
DI 10.1016/j.dibe.2025.100633
PG 16
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA Z6T3R
UT WOS:001440201200001
OA gold
DA 2025-04-22
ER

PT J
AU Field, C
   Sutley, E
   Naderpajouh, N
   van de Lindt, JW
   Butry, D
   Keenan, JM
   Smith-Colin, J
   Koliou, M
AF Field, Caroline
   Sutley, Elaina
   Naderpajouh, Nader
   van de Lindt, John W.
   Butry, David
   Keenan, Jesse M.
   Smith-Colin, Janille
   Koliou, Maria
TI Incorporating Socioeconomic Metrics in Civil Engineering Projects: The
   Resilience Perspective
SO NATURAL HAZARDS REVIEW
LA English
DT Article
ID DISASTER RESILIENCE; RECOVERY; VULNERABILITY; STREETSCAPES; RESTORATION;
   MANAGEMENT; FRAMEWORK
AB This paper explores the role of socioeconomic metrics in the design, planning and operations of civil engineering projects within the specific context of resilience. The inclusion of resilience analysis and design is consistent with the goals of the ASCE Infrastructure Resilience Division (IRD) and related emerging standards and duties of civil engineers. This paper focuses on the practices in design, planning, construction, and operation of civil engineering projects that can deliver social value to communities and offers a set of socioeconomic metrics for consistently measuring these benefits. Socioeconomic metrics benchmark benefits including safety, social equity, health and well-being, prosperity, cohesion and inclusivity, and mobility and accessibility during the whole life-cycle of a project. A review of metrics is presented and expanded with an emphasis on the need for contextual narrative support to their application. The aim is to establish further the use of metrics in civil engineering projects to set values at the community level and formulate them to justify and rationalize resilience interventions and strategies. The reviewed concepts and categorized project metrics can be used by a range of actors in addition to civil engineers, such as urban planners, policy makers, or regional developers, preferably in a collaborative manner across these groups, particularly to help prioritize the investment of resources and funds to achieve resilience. Three project examples at differing levels of complexity are presented to conceptually illustrate the approaches outlined herein.
C1 [Field, Caroline] Ove Arup & Partners, 63 St Thomas St, Bristol BS1 6JZ, Avon, England.
   [Sutley, Elaina] Univ Kansas, Dept Civil Environm & Architectural Engn, Lawrence, KS 66045 USA.
   [Naderpajouh, Nader] Univ Sydney, Fac Engn, Sch Property, Sch Project Management,Greater Sydney Area, Glebe, NSW 2037, Australia.
   [van de Lindt, John W.] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA.
   [Butry, David] NIST, Engn Lab, Appl Econ Off, Gaithersburg, MD 20899 USA.
   [Keenan, Jesse M.] Tulane Univ, Sch Architecture, Real Estate, New Orleans, LA 70118 USA.
   [Smith-Colin, Janille] Southern Methodist Univ, Dept Civil & Environm Engn, Dallas, TX 75275 USA.
   [Koliou, Maria] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77843 USA.
C3 University of Kansas; University of Sydney; Colorado State University
   System; Colorado State University Fort Collins; National Institute of
   Standards & Technology (NIST) - USA; Tulane University; Southern
   Methodist University; Texas A&M University System; Texas A&M University
   College Station
RP Sutley, E (corresponding author), Univ Kansas, Dept Civil Environm & Architectural Engn, Lawrence, KS 66045 USA.
EM carolinc.field@amp.com; enjsutley@ku.edu; naderpajouh@sydney.edu.au;
   david.butry@nist.gov; jkeenan@tulane.edu; jsmithcolin@smu.edu;
   maria.koliou@tamu.edu
RI Naderpajouh, Nader/AAD-1525-2020; Koliou, Maria/R-3781-2017
OI Sutley, Elaina/0000-0002-4749-2538; Keenan, Jesse/0000-0003-4058-1682;
   Smith-Colin, Janille/0000-0002-0297-4154; Naderpajouh,
   Nader/0000-0001-9628-9766; Koliou, Maria/0000-0002-0686-493X
FU ASCE IRD
FX The authors acknowledge all ASCE Infrastructure Resilience Division
   (IRD) Social Science, Policy, Economics, Education, and Decision (SPEED)
   committee members for their contribution through committee discussions
   on the manuscript and presented metrics. This work was performed as part
   of a project sponsored by the ASCE IRD awarded to the SPEED Committee to
   establish socioeconomic metrics for civil engineering projects. The
   views expressed are those of the authors and may not represent the
   official position of ASCE or IRD.
CR [Anonymous], 2021, Billion-Dollar Weather and Climate Disasters: Events
   [Anonymous], 2019, Canberra Times
   Arup, 2018, MAK TOT VAL CAS INV
   Arup, 2019, TOT VAL CIT REL GREE
   Arup, 2017, FITZP MON REP
   ASCE, 2007, VIS CIV ENG 2025, DOI [10.1061/9780784478868.001, DOI 10.1061/9780784478868.001]
   Blokland Talja., 2017, COMMUNITY URBAN PRAC
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Callaghan Edith G., 2008, Environment Development and Sustainability, V10, P931, DOI 10.1007/s10668-007-9093-4
   Chang S. E., 2016, Oxford Research Encyclopedia of Natural Hazard Science, DOI [10.1093/acrefore/9780199389407.013.66, DOI 10.1093/ACREFORE/9780199389407.013.66]
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Choi J, 2019, J MANAGE ENG, V35, DOI 10.1061/(ASCE)ME.1943-5479.0000697
   Copeland S, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101799
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Curt C, 2018, RISK ANAL, V38, P2441, DOI 10.1111/risa.13166
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Davis CA, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000303
   Doorn N, 2019, SUSTAIN RESIL INFRAS, V4, P112, DOI 10.1080/23789689.2018.1428162
   FEMA, 2016, DRAFT INT CONC COMM
   Field C., 2017, PROC AEI CONVENTION
   Field Caroline, 2018, Environment Systems & Decisions, V38, P292, DOI 10.1007/s10669-018-9701-x
   Gilbert S, 2016, ASCE-ASME J RIS UNCE, V2, DOI 10.1061/AJRUA6.0000867
   Glasser Robert., 2019, Preparing for the Era of Disasters
   Hamideh S, 2018, NAT HAZARDS, V93, P1629, DOI 10.1007/s11069-018-3371-3
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   KAPLAN R, 1993, LANDSCAPE URBAN PLAN, V26, P193, DOI 10.1016/0169-2046(93)90016-7
   Keenan JM, 2018, ENVIRON SCI POLICY, V88, P116, DOI 10.1016/j.envsci.2018.06.015
   Keenan JM, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000273
   Kendal D., 2016, The City of Melbourne's future urban forest: Identifying the vulnerability of trees to the City's future temperature
   Kendal D, 2012, URBAN FOR URBAN GREE, V11, P257, DOI 10.1016/j.ufug.2012.03.005
   Koliou M, 2020, SUSTAIN RESIL INFRAS, V5, P131, DOI 10.1080/23789689.2017.1418547
   Lakhina SJ, 2021, INT J DISAST RISK SC, V12, P299, DOI 10.1007/s13753-021-00340-y
   LANGLEY A, 1995, SLOAN MANAGE REV, V36, P63
   Levitt RE, 2007, J CONSTR ENG M, V133, P619, DOI 10.1061/(ASCE)0733-9364(2007)133:9(619)
   Linkov I, 2013, ENVIRON SCI TECHNOL, V47, P10108, DOI 10.1021/es403443n
   Markhvida M, 2020, NAT SUSTAIN, V3, P538, DOI 10.1038/s41893-020-0508-7
   Marsh RobertT., 1997, Critical Foundations: Protecting America's Infrastructures
   Masoomi H, 2019, ASCE-ASME J RISK U A, V5, DOI 10.1061/AJRUA6.0000998
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Millar CCJM, 2018, CALIF MANAGE REV, V61, P5, DOI 10.1177/0008125618805111
   Min OY, 2017, EUR J OPER RES, V262, P1072, DOI 10.1016/j.ejor.2017.04.022
   Mitsova D, 2018, NAT HAZARDS, V94, P689, DOI 10.1007/s11069-018-3413-x
   Muller JZ, 2018, The Tyranny of Metrics
   Naderpajouh Nader, 2018, Environment Systems & Decisions, V38, P306, DOI 10.1007/s10669-018-9704-7
   Naderpajouh N, 2016, J MANAGE ENG, V32, DOI 10.1061/(ASCE)ME.1943-5479.0000409
   NIST, 2015, Community resilience planning guide for buildings and infrastructure systems: Volume II
   NYC Parks, 2015, 2015 STREET TREE CEN
   Ordóñez C, 2020, ENVIRON SCI POLICY, V104, P136, DOI 10.1016/j.envsci.2019.11.008
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Qin Y, 2017, P NATL ACAD SCI USA, V114, P4887, DOI 10.1073/pnas.1703167114
   Rebuild by Design, 2014, BIG
   Resilient Melbourne, 2016, RES MELB STRAT
   Ritchie L.A., 2011, PERI SCOPE, V14
   Saltelli A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11865-8
   Shooshtarian S, 2018, SUSTAIN CITIES SOC, V41, P647, DOI 10.1016/j.scs.2018.06.005
   Sutley E., 2021, Community resilience-focused technical investigation of the 2016 Lumberton
   Sutley EJ, 2017, J STRUCT ENG, V143, DOI 10.1061/(ASCE)ST.1943-541X.0001846
   Tiernan A, 2019, POLICY DES PRACT, V2, P53, DOI 10.1080/25741292.2018.1507240
   TNC (The Nature Conservancy) and Resilient Melbourne, 2019, LIV MELB OUR METR UR
   Troy A, 2012, LANDSCAPE URBAN PLAN, V106, P262, DOI 10.1016/j.landurbplan.2012.03.010
   UKGBC (United Kingdom Green Building Council), 2018, SOCIAL VALUE NEW DEV
   UNISDR (United Nations Office for Disaster Risk Reduction), 2014, Report
   US Indian Ocean Tsunami Warning System Program, 2007, RES YOUR COAST COMM
   van de Lindt JW, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000387
   Van de Lindt JW., 2018, Community resilience-focused technical investigation of the 2016 Lumberton, North Carolina flood: Multi-disciplinary approach, DOI DOI 10.6028/NIST.SP.1230
   Vugrin ED, 2014, INT J CRIT INFRASTRU, V10, P218, DOI 10.1504/IJCIS.2014.066356
   Wetzstein S, 2017, URBAN STUD, V54, P3159, DOI 10.1177/0042098017711649
   Wolf K.L., 2007, Arborist News, V16, P34
   Wolf KL, 2005, J FOREST, V103, P396
   Ye MX, 2021, NAT HAZARDS, V105, P67, DOI 10.1007/s11069-020-04295-z
NR 72
TC 8
Z9 9
U1 4
U2 48
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
J9 NAT HAZARDS REV
JI Nat. Hazards Rev.
PD FEB 1
PY 2022
VL 23
IS 1
AR 04021064
DI 10.1061/(ASCE)NH.1527-6996.0000537
PG 13
WC Engineering, Civil; Environmental Studies; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
GA XO7WF
UT WOS:000730390300019
OA hybrid
DA 2025-04-22
ER

PT J
AU Pugliese, F
   Gerundo, C
   De Paola, F
   Caroppi, G
   Giugni, M
AF Pugliese, Francesco
   Gerundo, Carlo
   De Paola, Francesco
   Caroppi, Gerardo
   Giugni, Maurizio
TI Enhancing the Urban Resilience to Flood Risk Through a Decision Support
   Tool for the LID-BMPs Optimal Design
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Flood risk; Low impact development (LID); Geographic information system
   (GIS); Harmony search (HS); EPA SWMM; Decisions support system (DSS)
ID CLIMATE-CHANGE; SYSTEMS; IMPACTS; RUNOFF
AB Urban areas are becoming increasingly susceptible to flooding because of high urbanization levels and changes in the precipitation patterns caused by climate change. The effective management of urban water drainage systems is particularly relevant to control and regulate the runoff impacts. Nevertheless, the mitigation of climate change effects and the adaptation to its impacts call for the implementation of new sustainable strategies and solutions. In this context, a key role can be played by Low Impact Development (LID) technologies of Best Management Practices (BMPs). Such innovative design approaches can lead to more sustainable and effective strategies for urban runoff control. In this paper, a methodology to increase the urban resilience to flooding risk through LID-BMPs is proposed and discussed. A tool for the optimal selection and design of different LID-BMPs is presented. The tool couples GIS processing with hydraulic simulations, constituting a Decision Support System (DSS) based on the meta-heuristic optimization algorithm Harmony Search (HS). The methodology was tested on the case study site of Soccavo, a suburban area in the Municipality of Naples (Italy). Several LID measures, including bio-retention systems, porous pavements, green roofs, were considered. Then, the effectiveness of combining LIDs with grey solutions to carry out hybrid solutions was also assessed. Results showed the capability of the proposed approach in detecting technically and economically viable solutions.
C1 [Pugliese, Francesco; De Paola, Francesco; Giugni, Maurizio] Univ Naples Federico II, Dept Civil Environm & Architectural Engn, Via Claudio 21, I-80125 Naples, Italy.
   [Gerundo, Carlo] Univ Naples Federico II, Dept Civil Environm & Architectural Engn, Piazzale Tecchio 80, I-80125 Naples, Italy.
   [Caroppi, Gerardo] Aalto Univ, Dept Built Environm, Sch Engn, Etotie 1 E, Espoo 02150, Finland.
C3 University of Naples Federico II; University of Naples Federico II;
   Aalto University
RP Pugliese, F (corresponding author), Univ Naples Federico II, Dept Civil Environm & Architectural Engn, Via Claudio 21, I-80125 Naples, Italy.
EM francesco.pugliese2@unina.it; carlo.gerundo@unina.it; depaola@unina.it;
   gerardo.caroppi@aalto.fi; giugni@unina.it
RI Gerundo, Carlo/AAP-1117-2020; Caroppi, Gerardo/AAG-7222-2020; Pugliese,
   Francesco/ABA-8092-2020; De Paola, Francesco/AAH-6943-2019
OI Caroppi, Gerardo/0000-0002-0454-8474; Pugliese,
   Francesco/0000-0001-5845-3326
FU fund 'PON Ricerca e Innovazione 2014-2020, Asse I, Investimenti in
   Capitale Umano, Avviso AIM-Attrazione e Mobilita Internazionale, Linea
   1' [CUPE61G18000530007]
FX The work of the first author (F.P.) was financially supported by the
   fund 'PON Ricerca e Innovazione 2014-2020, Asse I, Investimenti in
   Capitale Umano, Avviso AIM-Attrazione e Mobilita Internazionale, Linea
   1' (CUPE61G18000530007).
CR [Anonymous], 2010, ARCGIS VERS 10 1
   Bishop Y., 1975, Discrete Multivariate Analysis
   Blick SA, 2004, NEW JERSEY STORMATER
   BOOTH DB, 1991, NORTHWEST ENVIRON J, V7, P93
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   De Paola F, 2018, WATER RESOUR MANAG, V32, P4933, DOI 10.1007/s11269-018-2064-8
   Dietz ME, 2007, WATER AIR SOIL POLL, V186, P351, DOI 10.1007/s11270-007-9484-z
   Fletcher S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09677-x
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Fonseca CM, 2011, LECT NOTES COMPUT SC, V6576, P106, DOI 10.1007/978-3-642-19893-9_8
   Forsee WJ, 2011, J HYDROL ENG, V16, P865, DOI 10.1061/(ASCE)HE.1943-5584.0000383
   Geem ZW, 2001, SIMULATION, V76, P60, DOI 10.1177/003754970107600201
   Hou JW, 2020, LANDSCAPE URBAN PLAN, V202, DOI 10.1016/j.landurbplan.2020.103858
   Jia HF, 2012, SEP PURIF TECHNOL, V84, P112, DOI 10.1016/j.seppur.2011.04.026
   Khan S, 2006, J ENVIRON ENG, V132, P415, DOI 10.1061/(ASCE)0733-9372(2006)132:3(415)
   Liu YZ, 2016, ENVIRON MODELL SOFTW, V80, P281, DOI 10.1016/j.envsoft.2016.03.005
   Lopez-Ibanez M, 2010, EXP METHODS ANAL OPT
   Nie L, 2009, URBAN WATER J, V6, P323, DOI 10.1080/15730620802600924
   Pignalosa A, 2022, AGR WATER MANAGE, V273, DOI 10.1016/j.agwat.2022.107870
   Pugliese F, 2022, AQUA-UK, V71, P42, DOI 10.2166/aqua.2021.101
   Raei E, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124091
   Recanatesi F, 2017, J ENVIRON MANAGE, V201, P6, DOI 10.1016/j.jenvman.2017.06.024
   Rosenzweig C., 2015, ARC32 SUMMARY CITY L
   Rossman L., 2015, Storm Water Management Model User's Manual Version 5.1 353
   Schreurs MA, 2007, GLOBAL ENVIRON POLIT, V7, P19, DOI 10.1162/glep.2007.7.4.19
   Spitalar M, 2014, J HYDROL, V519, P863, DOI 10.1016/j.jhydrol.2014.07.004
   Wurzel R., 2010, The European Union as a Leader in International Climate Change Politics (Hardback) - Routledge
   Xu T, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0934-6
   You LD, 2019, J SUSTAIN WATER BUIL, V5, DOI [10.1061/JSWBAY.0000870, 10.1061/jswbay.0000870]
   ZANANDREA F, 2018, J ENVIRON ENG, V144, DOI DOI 10.1061/(ASCE)EE.1943-7870.0001417
   Zhang G., 2013, Open Journal of Optimization, V02, P95, DOI [10.4236/ojop.2013.24013, DOI 10.4236/OJOP.2013.24013]
NR 31
TC 22
Z9 23
U1 4
U2 45
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD NOV
PY 2022
VL 36
IS 14
BP 5633
EP 5654
DI 10.1007/s11269-022-03322-x
EA SEP 2022
PG 22
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA 5R0XU
UT WOS:000854843400001
DA 2025-04-22
ER

PT J
AU Zhang, W
   Wang, ZT
   Wang, SH
AF Zhang, Wei
   Wang, Zetian
   Wang, Shaohua
TI The Impact of Land-Use Carbon Efficiency on Ecological Resilience-The
   Moderating Role of Heterogeneous Environmental Regulations
SO SUSTAINABILITY
LA English
DT Article
DE land-use carbon efficiency; ecological resilience; heterogeneous
   environmental regulation
AB China attaches great importance to land use and ecological civilization; hence, clarifying the relationship of land use on ecological resilience is crucial for urban development. The aim of this paper is to study the impact of land-use carbon efficiency on ecological resilience and the moderating role played by different environmental regulatory policies between the two, with the aim of providing a research basis and decision-making reference for the country's ecological high-quality development by proposing suggestions for different subjects based on the results of this study. Taking 30 provinces and cities in mainland China from 2009 to 2022 as samples, the authors constructed an indicator system to measure their ecological resilience using the entropy method, measured their land-use carbon efficiency using the super SBM, and verified the mechanism of land-use carbon efficiency on ecological resilience by using the bidirectional fixed-effects model. Robustness and endogeneity tests confirmed the validity of the regression results. The following is a summary of this study's findings: (1) Land-use carbon efficiency can enhance ecological resilience through various mechanisms such as scale promotion, structural upgrading, and technological progress. (2) Regional research shows that different regions have distinct effects of land-use carbon efficiency on ecological resilience. The northeastern region shows a non-significant inhibitory effect, whereas the eastern, middle, and western regions show varying degrees of promotion effects. Land-use carbon efficiency contributes to increased ecological resilience in resource-based and non-resource-based provinces, with resource-based provinces witnessing a greater increase in ecological resilience. The effects of land-use carbon efficiency on different aspects of ecological resilience are diverse, with ecosystem resistance and recovery being empowered. However, the precise mechanism through which ecosystem adaptability influences ecological resilience remains unclear. (3) Moreover, there is variation in the moderating impact of environmental legislation. Command-and-control environmental regulation impedes the positive impact of land-use carbon efficiency, and market-incentive environmental regulation strengthens their relationship, while spontaneous-participation environmental regulation does not significantly enhance their connection. It provides a new theoretical perspective for the study of ecological resilience, deepens the understanding of ecological resilience, and provides theoretical support for enhancing the resilience of ecosystems.
C1 [Zhang, Wei; Wang, Zetian; Wang, Shaohua] Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China.
C3 Yanshan University
RP Wang, SH (corresponding author), Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China.
EM zhangwei830617@163.com; wangzt0303@163.com; wangshaohua0813@126.com
FU Natural Science Foundation of Hebei Province [G2024203029, G2024203004];
   Social Science Development Research Projects in Hebei Province
   [20230302027]
FX This research was funded by [Natural Science Foundation of Hebei
   Province] grant number [G2024203029], [Natural Science Foundation of
   Hebei Province] grant number [G2024203004] and [Social Science
   Development Research Projects in Hebei Province] grant number
   [20230302027].
CR Ang BW, 1999, ENERG POLICY, V27, P943, DOI 10.1016/S0301-4215(99)00084-1
   Brand F, 2009, ECOL ECON, V68, P605, DOI 10.1016/j.ecolecon.2008.09.013
   Chen T, 2016, J DEV ECON, V123, P86, DOI 10.1016/j.jdeveco.2016.08.005
   [程琳琳 Cheng Linlin], 2018, [中国农业大学学报, Journal of China Agricultural University], V23, P218
   Dakos V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5767
   Eslamipoor R., 2023, J. Bus. Econ, V94, P413, DOI [10.1007/s11573-023-01168-2, DOI 10.1007/S11573-023-01168-2]
   [范翔宇 Fan Xiangyu], 2023, [中国土地科学, China Land Science], V37, P79
   [封永刚 Feng Yonggang], 2015, [中国人口·资源与环境, China Population Resources and Environment], V25, P18
   [盖兆雪 Gai Zhaoxue], 2017, [经济地理, Economic Geography], V37, P163
   Gao Y.J., 2022, Inq. Econ. Issues, V3, P106
   Haihong G., 2023, J. China Univ. Pet, V3, P22, DOI [10.13216/j.cnki.upcjess.2023.02.0003, DOI 10.13216/J.CNKI.UPCJESS.2023.02.0003]
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   [胡初枝 HU Chuzhi], 2008, [中国人口·资源与环境, China Population·Resources and Environment], V18, P38
   [黄安 Huang An], 2020, [地理科学进展, Progress in Geography], V39, P503
   [黄超 Huang Chao], 2022, [环境科学与技术, Environmental Science and Technology], V45, P10
   [黄金川 Huang Jinchuan], 2017, [地理科学进展, Progress in Geography], V36, P378
   Jia H.W., 2020, J. Lanzhou Univ. (Soc. Sci.), V48, P113, DOI [10.13885/j.issn.1000-2804.2020.03.014, DOI 10.13885/J.ISSN.1000-2804.2020.03.014]
   Kuang B, 2020, TECHNOL FORECAST SOC, V151, DOI 10.1016/j.techfore.2019.119874
   [李秉成 Li Bingcheng], 2006, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V20, P1
   Li L.X., 2016, Management World, V2016, P86, DOI [DOI 10.19744/J.CNKI.11-1235/F.2016.08.008, 10.19744/j.cnki.11-1235/f.2016.08.008]
   [梁流涛 Liang Liutao], 2019, [中国土地科学, China Land Science], V33, P80
   Liu JB, 2022, LAND-BASEL, V11, DOI 10.3390/land11050604
   [卢新海 Lu Xinhai], 2023, [中国人口·资源与环境, China Population Resources and Environment], V33, P113
   [卢新海 Lu Xinhai], 2018, [自然资源学报, Journal of Natural Resources], V33, P657
   LV T.G., 2023, Regional Research and Development, V42, P54, DOI DOI 10.3969/J.ISSN.1003-2363.2023.01.010
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mumby PJ, 2014, CURR OPIN ENV SUST, V7, P22, DOI 10.1016/j.cosust.2013.11.021
   Qu F T., 2011, China Population, Resources and Environment, V21, P76
   Ru G., 2016, Financ. Econ, V6, P4, DOI [10.19622/j.cnki.cn36-1005/f.2016.06.002, DOI 10.19622/J.CNKI.CN36-1005/F.2016.06.002]
   Saiz A, 2010, Q J ECON, V125, P1253, DOI 10.1162/qjec.2010.125.3.1253
   Sepehriar A., 2024, J. Bus. Econ, V94, P927, DOI [10.1007/s11573-024-01192-w, DOI 10.1007/S11573-024-01192-W]
   Shen S.Y., 2022, J. Tech. Econ. Manag, V8, P110
   [石彩霞 Shi Caixia], 2023, [陕西师范大学学报. 自然科学版, Journal of Shaanxi Normal University. Natural Science Edition], V51, P56
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Sun Z.R., 2021, Ind. Technol. Econ, V40, P46, DOI [10.3969/j.issn.1004-910X.2021.04.006, DOI 10.3969/J.ISSN.1004-910X.2021.04.006]
   Tang W., 2020, Masters Thesis, DOI [10.27061/d.cnki.ghgdu.2020.000499, DOI 10.27061/D.CNKI.GHGDU.2020.000499]
   [陶洁怡 Tao Jieyi], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1975
   Tone K, 2001, EUR J OPER RES, V130, P498, DOI 10.1016/S0377-2217(99)00407-5
   Wang AP, 2021, LAND-BASEL, V10, DOI 10.3390/land10060657
   [王德起 Wang Deqi], 2019, [中国人口·资源与环境, China Population Resources and Environment], V29, P68
   Wang L., 2023, Statist. Decis, V39, P97, DOI [10.13546/j.cnki.tjyjc.2023.18.018, DOI 10.13546/J.CNKI.TJYJC.2023.18.018]
   [王少剑 Wang Shaojian], 2021, [地理学报, Acta Geographica Sinica], V76, P973
   [王松茂 Wang Songmao], 2022, [经济地理, Economic Geography], V42, P51
   [温忠麟 Wen Zhonglin], 2014, [心理科学进展, Advances in Psychological Science], V22, P731
   [吴磊 Wu Lei], 2020, [中国人口·资源与环境, China Population Resources and Environment], V30, P82
   Xi J.P., 2020, Peoples Daily, DOI [10.28655/n.cnki.nrmrb.2020.012238, DOI 10.28655/N.CNKI.NRMRB.2020.012238]
   Xi Q., 2019, Econ. Res, V54, P102
   Xue F., 2021, E CHINA EC MANAG, V35, P11, DOI [10.19629/j.cnki.34-1014/f.201211011, DOI 10.19629/J.CNKI.34-1014/F.201211011]
   Ochoa CY, 2020, LAND-BASEL, V9, DOI 10.3390/land9110414
   Yao Lu, 2023, Scientia Geographica Sinica, V43, P1783, DOI 10.13249/j.cnki.sgs.2023.10.010
   [于婧 Yu Jing], 2020, [华中师范大学学报. 自然科学版, Journal of Central China Normal University. Natural Sciences Edition], V54, P632
   [余鹏 Yu Peng], 2019, [运筹与管理, Operations Research and Management Science], V28, P170
   Zeng LG, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191710748
   Zhang liming, 2021, Journal of Beijing Normal University (Natural Science), V57, P353, DOI 10.12202/j.0476-0301.2020285
   Zhang M., 2022, Journal of Beijing Institute of Technology (Social Sciences Edition), V24, P16, DOI [10.15918/j.jbitss1009-3370.2022.0760, DOI 10.15918/J.JBITSS1009-3370.2022.0760]
   [张明斗 Zhang Mingdou], 2024, [干旱区地理, Arid Land Geography], V47, P445
   [张玥 Zhang Yue], 2022, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V38, P234
   [赵卉卉 Zhao Huihui], 2012, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V21, P406
   [赵领娣 Zhao Lingdi], 2023, [经济地理, Economic Geography], V43, P119
   [周平 Zhou Ping], 2017, [经济地理, Economic Geography], V37, P188
   Zhu J.H., 2020, SOFT SCI, V34, P72, DOI [10.13956/j.ss.1001-8409.2020.02.12, DOI 10.13956/J.SS.1001-8409.2020.02.12]
   [朱纪广 Zhu Jiguang], 2020, [地理科学, Scientia Geographica Sinica], V40, P1654
NR 62
TC 1
Z9 1
U1 22
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2024
VL 16
IS 22
AR 9842
DI 10.3390/su16229842
PG 24
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA N7I6S
UT WOS:001366033400001
OA gold
DA 2025-04-22
ER

PT J
AU Kythreotis, AP
   Jonas, AEG
   Mercer, TG
   Marsden, TK
AF Kythreotis, Andrew P.
   Jonas, Andrew E. G.
   Mercer, Theresa G.
   Marsden, Terry K.
TI Rethinking urban adaptation as a scalar geopolitics of climate
   governance: climate policy in the devolved territories of the UK
SO TERRITORY POLITICS GOVERNANCE
LA English
DT Article
DE urban climate governance; state devolution; geopolitics; scale;
   adaptation; UK
ID ENVIRONMENTAL GOVERNANCE; PUBLIC-POLICY; POLITICS; SUSTAINABILITY;
   CITIES; CARBON; CITY; RESILIENCE; EMERGENCE; GEOGRAPHY
AB This paper exposes missing interconnections between the urban, national and international scales in the analysis of climate adaptation policy and territorial governance in the UK. Drawing upon the results of interviews with adaptation stakeholders in seven UK city-regions, it examines: (1) the increasing discursive alignment of the 'urban' and the 'national' in international climate adaptation policy and decision-making processes; and (2) the contradictions between urban and national climate policy discourses across the UK devolved territories. The paper identifies and accounts for an emergent scalar geopolitics of climate adaptation governance as urban climate actions and knowledges are enrolled in the UK state's efforts to respond to broader international climate governance and policy imperatives. We call for further research on how adaptation knowledge is geopolitically mobilized at different scales of climate governance.
C1 [Kythreotis, Andrew P.] Univ Lincoln, Coll Sci, Sch Geog, Lincoln, England.
   [Kythreotis, Andrew P.] Univ Lincoln, Coll Sci, Lincoln Ctr Water & Planetary Hlth, Lincoln, England.
   [Jonas, Andrew E. G.] Univ East Anglia, Tyndall Ctr Climate Change Res, Sch Environm Sci, Zuckerman Inst Connect Environm Res, Norwich, Norfolk, England.
   [Mercer, Theresa G.] Univ Hull, Dept Geog Geol & Environm, Kingston Upon Hull, Yorks, England.
   [Marsden, Terry K.] Cardiff Univ, Sustainable Pl Res Inst, Cardiff, Wales.
C3 University of Lincoln; University of Lincoln; University of East Anglia;
   University of Hull; Cardiff University
RP Kythreotis, AP (corresponding author), Univ Lincoln, Coll Sci, Sch Geog, Lincoln, England.; Kythreotis, AP (corresponding author), Univ Lincoln, Coll Sci, Lincoln Ctr Water & Planetary Hlth, Lincoln, England.
EM akythreotis@lincoln.ac.uk; a.e.jonas@hull.ac.uk; tmercer@lincoln.ac.uk;
   MarsdenTK@cardiff.ac.uk
RI Kythreotis, Andrew/F-3748-2011; Mercer, Theresa/U-9662-2019; Mercer,
   Theresa/F-8318-2011
OI Mercer, Theresa/0000-0002-4383-8001
FU Department for Business, Energy and Industrial Strategy [SRG19/190291];
   Regional Studies Association; British Academy [SRG19/190291]; British
   Academy [SRG19\\190291] Funding Source: British Academy
FX Andrew Kythreotis and Andy Jonas respectively thank the Regional Studies
   Association for funding support through an Early Career Research Grant
   and a Fellowship Research Grant. They also thank the British Academy and
   the Department for Business, Energy and Industrial Strategy for a
   British Academy Grant [grant number SRG19/190291] examining the New
   Civil Politics of Climate Change in the UK which has helped inform some
   of the theoretical rationale of this manuscript.
CR Abbott KW, 2012, ENVIRON PLANN C, V30, P571, DOI 10.1068/c11127
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   Andonova LB, 2009, GLOBAL ENVIRON POLIT, V9, P52, DOI 10.1162/glep.2009.9.2.52
   Bäckstrand K, 2006, GLOBAL ENVIRON POLIT, V6, P50
   Bäckstrand K, 2019, J ENVIRON POL PLAN, V21, P519, DOI 10.1080/1523908X.2016.1150777
   Barber B., 2013, IF MAYORS RULES WORL
   BENZIE M, 2014, ECOL SOC, V19
   Bernstein S., 2002, Global Environmental Politics, V2, P1, DOI [10.1162/152638002320310509, DOI 10.1162/152638002320310509]
   Betsill M, 2007, LOCAL ENVIRON, V12, P447, DOI 10.1080/13549830701659683
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Bisaro A, 2016, NAT CLIM CHANGE, V6, P354, DOI 10.1038/NCLIMATE2936
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Bolin B, 2007, HISTORY OF THE SCIENCE AND POLITICS OF CLIMATE CHANGE: THE ROLE OF THE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE, P1, DOI 10.1017/CBO9780511721731
   Boyd E., 2014, URBAN STUD, V52, P1, DOI DOI 10.1177/0042098014527483
   Boykoff MT, 2008, POLIT GEOGR, V27, P549, DOI 10.1016/j.polgeo.2008.05.002
   Braun BP, 2014, ENVIRON PLANN D, V32, P49, DOI 10.1068/d4313
   Bulkeley H, 2005, POLIT GEOGR, V24, P875, DOI 10.1016/j.polgeo.2005.07.002
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Bulkeley H, 2007, GLOBAL ENVIRON POLIT, V7, P1, DOI 10.1162/glep.2007.7.2.1
   Bulkeley H, 2014, URBAN STUD, V51, P1471, DOI 10.1177/0042098013500089
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Coleman M, 2009, ANN ASSOC AM GEOGR, V99, P904, DOI 10.1080/00045600903245888
   Committee on Climate Change, 2017, UK AD POL COMM CLIM
   Cook J., 2018, IMAGINING FUTURES US
   Corbin J., 2008, BASICS QUALITATIVE R
   Dalby S, 2020, TERRIT POLIT GOV, V8, P144, DOI 10.1080/21622671.2018.1559758
   Dalby S, 2016, POLIT GEOGR, V50, P71, DOI 10.1016/j.polgeo.2015.10.002
   Dalby S, 2013, POLIT GEOGR, V37, P38, DOI 10.1016/j.polgeo.2013.09.004
   Dalby S, 2013, POLIT GEOGR, V37, P56, DOI 10.1016/j.polgeo.2013.09.003
   Delaney D, 1997, POLIT GEOGR, V16, P93, DOI 10.1016/S0962-6298(96)00045-5
   Dierwechter Y., 2020, HDB CHANGING GEOGRAP
   Dodds K, 2018, TERRIT POLIT GOV, V6, P401, DOI 10.1080/21622671.2018.1526482
   Dubois A, 2002, J BUS RES, V55, P553, DOI 10.1016/S0148-2963(00)00195-8
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Forsyth T, 2012, GLOBAL ENVIRON POLIT, V12, P18, DOI 10.1162/GLEP_a_00106
   Frantzeskaki N, 2019, GLOB POLICY, V10, P712, DOI 10.1111/1758-5899.12758
   Gillard R, 2017, GLOBAL ENVIRON CHANG, V45, P174, DOI 10.1016/j.gloenvcha.2017.06.003
   Gleditsch NP, 2014, POLIT GEOGR, V43, P82, DOI 10.1016/j.polgeo.2014.08.007
   Göpfert C, 2019, MITIG ADAPT STRAT GL, V24, P1, DOI 10.1007/s11027-018-9789-9
   Grove K, 2016, REFRAMING CLIMATE CHANGE: CONSTRUCTING ECOLOGICAL GEOPOLITICS, P171
   Grove K, 2014, GEOGR COMPASS, V8, P198, DOI 10.1111/gec3.12118
   Haarstad H, 2014, GEOGR COMPASS, V8, P87, DOI 10.1111/gec3.12111
   Hajer M, 2019, TERRIT POLIT GOV, V7, P122, DOI 10.1080/21622671.2018.1510339
   Hare W, 2010, CLIM POLICY, V10, P600, DOI 10.3763/cpol.2010.0161
   Harmer N, 2018, TERRIT POLIT GOV, V6, P405, DOI 10.1080/21622671.2017.1297251
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   IPCC, 2014, 2 ANN 2 GLOSS
   Jasanoff S., 1998, HUMAN CHOICE CLIMATE, V1, P1
   Jessop B, 2008, ENVIRON PLANN D, V26, P389, DOI 10.1068/d9107
   Jessop B, 2016, TERRIT POLIT GOV, V4, P8, DOI 10.1080/21622671.2015.1123173
   Johnson AP, 2018, I CONF VLSI DESIGN, P49, DOI 10.1109/VLSID.2018.36
   Johnson Craig., 2018, The Power of Cities in Global Climate Politics: Saviors, Supplicants or Agents of Change?
   Johnson C, 2018, IMPLEMENTING EFFECTIVE BEHAVIOR INTERVENTION PLANS: 8 STEPS TO SUCCESS, P91
   Jonas AEG, 2006, T I BRIT GEOGR, V31, P399, DOI 10.1111/j.1475-5661.2006.00210.x
   Jonas AEG, 2018, PROG HUM GEOG, V42, P350, DOI 10.1177/0309132516679897
   Jonas AEG, 2011, URBAN STUD, V48, P2537, DOI 10.1177/0042098011411951
   Jordan AJ, 2015, NAT CLIM CHANGE, V5, P977, DOI 10.1038/NCLIMATE2725
   Kahn ME, 2013, POLIT GEOGR, V37, P53, DOI 10.1016/j.polgeo.2013.09.006
   Keohane R. O., 2016, NATURE CLIMATE CHANG
   Kivimaa P, 2017, J CLEAN PROD, V169, P17, DOI 10.1016/j.jclepro.2017.01.027
   Kreuder-Sonnen C, 2015, EUR J INT RELAT, V21, P568, DOI 10.1177/1354066114548736
   Kurtz HE, 2003, POLIT GEOGR, V22, P887, DOI 10.1016/j.polgeo.2003.09.001
   Kythreotis A. P., CLIMATE URBANISM CRI
   Kythreotis A. P., 2018, ROUTLEDGE HDB SPACES
   Kythreotis AP, 2020, REG STUD, V54, P576, DOI 10.1080/00343404.2019.1678744
   Kythreotis AP, 2012, ENVIRON PLANN D, V30, P381, DOI 10.1068/d11810
   Kythreotis AP, 2012, PROG HUM GEOG, V36, P457, DOI 10.1177/0309132511427961
   Lawrence J, 2015, LOCAL ENVIRON, V20, P298, DOI 10.1080/13549839.2013.839643
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Leon Mario F., 2010, J VEG SCI, V22, P120, DOI [10.1111/j.1654-1103.2010.01224.x, DOI 10.1111/J.1654-1103.2010.01224.X]
   Maor M, 2017, J ENVIRON POL PLAN, V19, P599, DOI 10.1080/1523908X.2017.1281730
   Marston SA, 2005, T I BRIT GEOGR, V30, P416, DOI 10.1111/j.1475-5661.2005.00180.x
   Massey E, 2016, REG ENVIRON CHANGE, V16, P553, DOI 10.1007/s10113-015-0771-8
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   Menkes J., 2010, POLISH YB INT LAW, V29
   Moisio S., 2020, Handbook on the Changing Geographies of the State
   Moisio S, 2018, REG CITIES
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   O'Lear S, 2016, POLIT GEOGR, V52, P4, DOI 10.1016/j.polgeo.2015.01.004
   O'Lear S, 2016, REFRAMING CLIMATE CHANGE: CONSTRUCTING ECOLOGICAL GEOPOLITICS, P100
   Oosterlynck S, 2013, INT J URBAN REGIONAL, V37, P1075, DOI 10.1111/1468-2427.12064
   Ostrom E, 2014, ANN ECON FINANC, V15, P97
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Phelps NA, 2020, DIALOGUES HUM GEOGR, V10, P304, DOI 10.1177/2043820619890438
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Purdon M, 2015, GLOBAL ENVIRON POLIT, V15, P1, DOI 10.1162/GLEP_e_00309
   Rauken T, 2015, LOCAL ENVIRON, V20, P408, DOI 10.1080/13549839.2014.880412
   Rice JL, 2010, ANN ASSOC AM GEOGR, V100, P929, DOI 10.1080/00045608.2010.502434
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Salvidge S., 2016, ENV AGENCY CLOSES CL
   Schipper ELF., 2006, Reciel, V15, P82, DOI [10.1111/j.1467-9388.2006.00501.x, DOI 10.1111/J.1467-9388.2006.00501.X, 10.1111/j.1467-9388.2006.00501.x/abstract, DOI 10.1111/J.1467-9388.2006.00501.X/ABSTRACT]
   Swyngedouw E, 2010, URBAN LAND PERSPECT, P185, DOI 10.1007/978-90-481-3106-8_11
   Swyngedouw E, 2013, ACME, V12, P1
   Swyngedouw E, 2010, THEOR CULT SOC, V27, P213, DOI 10.1177/0263276409358728
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Torney D, 2019, ENVIRON POLIT, V28, P167, DOI 10.1080/09644016.2019.1522029
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Valentine G., 2005, METHODS HUMAN GEOGRA, V2nd, P110, DOI 10.4324/9781315837277
   van der Heijden J, 2019, EARTH SYST GOV-NETH, V1, DOI 10.1016/j.esg.2019.100005
   Wachsmuth D, 2017, REG STUD, V51, P643, DOI 10.1080/00343404.2016.1223840
   Wolfram M, 2019, J ENVIRON POL PLAN, V21, P1, DOI 10.1080/1523908X.2018.1558848
   Woon CY, 2019, TERRIT POLIT GOV, V7, P115, DOI 10.1080/21622671.2019.1597558
   Wurzel RKW, 2019, ENVIRON POLIT, V28, P146, DOI 10.1080/09644016.2019.1522039
NR 113
TC 16
Z9 16
U1 8
U2 17
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2162-2671
EI 2162-268X
J9 TERRIT POLIT GOV
JI Territ. Polit. Gov.
PD JAN 2
PY 2023
VL 11
IS 1
BP 39
EP 59
DI 10.1080/21622671.2020.1837220
EA NOV 2020
PG 21
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA 7B9IN
UT WOS:000586054100001
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Zhang, CL
   Zhang, B
   Zhang, DM
   Huang, ZK
   Huang, HW
AF Zhang, Chenlong
   Zhang, Bo
   Zhang, Dongming
   Huang, Zhongkai
   Huang, Hongwei
TI Machine learning-based resilience assessment of tunnel under explosions:
   Integrating post-explosion loss and recovery models
SO COMPUTERS AND GEOTECHNICS
LA English
DT Article
DE Shallow tunnel; Explosive resilience; Machine learning; Dynamic
   response; Damage assessment
AB The frequent occurrence of regional conflicts and occasional explosions poses a severe threat to the operational safety of underground tunnels. To this end, a detailed resilience assessment of tunnels in the event of explosive hazards has become urgent tasks to ensure urban safety and maintain the continuous operational function of tunnels. Given the urgency, this study develops a machine learning-based framework for assessing the resilience of tunnels under explosions, focusing on robustness and rapid recovery. First, a detailed 3D numerical model incorporating the wave-lining coupling effect was developed. Next, the randomness of the bomb impact location was quantified using the Latin Hypercube Sampling (LHS) method. The destructive deformation of the tunnel was then predicted using a Convolutional Neural Network (CNN) to enhance computational efficiency. Further, based on the developed CNN, the explosion fragility function of the tunnel was generated by modeling the logarithmic regression function between the explosion intensity measure (IM) and the damage measure (DM). Lastly, the resilience of shallow tunnels was revealed by considering post-explosion loss and recovery models. The effects of factors such as guidance accuracy, weight of TNT (WTNT), and recovery model on tunnel explosion resilience was thoroughly analysed through the proposed framework. The results of this research will provide a scientific basis for the resilience-based design and management of metro networks, and thus facilitate effective decision-making by policymakers regarding resource allocation.
C1 [Zhang, Chenlong; Zhang, Bo; Zhang, Dongming; Huang, Zhongkai; Huang, Hongwei] Tongji Univ, Dept Geotech Engn, Key Lab Geotech & Underground Engn, Minist Educ, Shanghai 200092, Peoples R China.
C3 Tongji University
RP Zhang, DM; Huang, ZK (corresponding author), Tongji Univ, Dept Geotech Engn, Key Lab Geotech & Underground Engn, Minist Educ, Shanghai 200092, Peoples R China.
EM 09zhang@tongji.edu.cn; 5huangzhongkai@tongji.edu.cn
RI Huang, Hongwei/ABF-4089-2020; Zhang, Chenlong/HTQ-1063-2023; 黄,
   凯/HGB-0235-2022; Zhang, Dongming/AAV-6503-2021
FU National Key Research and Development Program of China [2021YFF0502200];
   Shanghai Science and Technology Committee Program [22dz1201202];
   National Natural Science Foundation of China [52408435, 52478410];
   Natural Science Foundation of Chongqing, China [CSTB2023NSCQ-MSX0808];
   Young Elite Scientists Sponsorship Program by CAST [2023QNRC001];
   Fundamental Research Funds for the Central Universities
FX This work was supported by the National Key Research and Development
   Program of China (2021YFF0502200) , Shanghai Science and Technology
   Committee Program (22dz1201202) , the National Natural Science
   Foundation of China (Grants No. 52408435, 52478410) , Natural Science
   Foundation of Chongqing, China (No. CSTB2023NSCQ-MSX0808) , Young Elite
   Scientists Sponsorship Program by CAST (2023QNRC001) , and the
   Fundamental Research Funds for the Central Universities.
CR Alderson DL, 2018, TRANSPORT SCI, V52, P1012, DOI 10.1287/trsc.2017.0749
   [Anonymous], 2015, Code for Design of Concrete Structures
   [Anonymous], 2015, GBU-10 Paveway II Laser Guided Bombs (LGBs)
   [Anonymous], 2018, GB/T 51136-2018
   [Anonymous], 2022, RISN-TG041-2022
   Ansari A, 2024, INNOV INFRASTRUCT SO, V9, DOI 10.1007/s41062-024-01685-1
   Biondini F, 2015, EARTHQ ENG STRUCT D, V44, P2445, DOI 10.1002/eqe.2591
   Bull JW, 1998, COMPUT STRUCT, V69, P695, DOI 10.1016/S0045-7949(98)00135-7
   CEB, 1982, Bulletin d' Information, V187
   Chaudhary RK, 2019, INT J PROT STRUCT, V10, P73, DOI 10.1177/2041419618789438
   Cheng RS, 2021, TUNN UNDERGR SP TECH, V112, DOI 10.1016/j.tust.2021.103911
   Cimellaro G.P., 2006, P 8 US NAT C EARTHQ, V8, P1
   Ding Y, 2017, ENG STRUCT, V147, P679, DOI 10.1016/j.engstruct.2017.05.063
   Fan YF, 2024, TUNN UNDERGR SP TECH, V150, DOI 10.1016/j.tust.2024.105841
   Fan Y, 2024, OCEAN ENG, V296, DOI 10.1016/j.oceaneng.2024.117015
   Hu J, 2023, J BUILD ENG, V68, DOI 10.1016/j.jobe.2023.106110
   Huang HW, 2016, TUNN UNDERGR SP TECH, V51, P301, DOI 10.1016/j.tust.2015.10.044
   Huang Z, 2021, TUNN UNDERGR SP TECH, V118, DOI 10.1016/j.tust.2021.104184
   Huang ZK, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12094728
   Kassem MM, 2023, B EARTHQ ENG, V21, P1903, DOI 10.1007/s10518-022-01588-5
   Keskin I, 2022, TUNN UNDERGR SP TECH, V120, DOI 10.1016/j.tust.2021.104306
   Lin XT, 2022, TUNN UNDERGR SP TECH, V127, DOI 10.1016/j.tust.2022.104581
   Liu W, 2024, INT J PRES VES PIP, V208, DOI 10.1016/j.ijpvp.2024.105145
   Lv CX, 2023, ENG FAIL ANAL, V143, DOI 10.1016/j.engfailanal.2022.106802
   Ma JJ, 2024, ENG FRACT MECH, V311, DOI 10.1016/j.engfracmech.2024.110571
   Ma JJ, 2023, GEOMECH GEOPHYS GEO, V9, DOI 10.1007/s40948-023-00637-w
   Ma JJ, 2023, ROCK MECH ROCK ENG, V56, P7357, DOI 10.1007/s00603-023-03426-9
   Mandal J, 2022, ARCH COMPUT METHOD E, V29, P2491, DOI 10.1007/s11831-021-09664-w
   Mei WQ, 2022, COMPUT GEOTECH, V146, DOI 10.1016/j.compgeo.2022.104729
   Mokhtari M, 2015, ARCH CIV MECH ENG, V15, P668, DOI 10.1016/j.acme.2014.12.013
   Mostafa S, 2024, COMPUT GEOTECH, V170, DOI 10.1016/j.compgeo.2024.106301
   Mussa MH, 2017, TUNN UNDERGR SP TECH, V66, P64, DOI 10.1016/j.tust.2017.04.001
   Ouyang ZY, 2020, J PERFORM CONSTR FAC, V34, DOI 10.1061/(ASCE)CF.1943-5509.0001526
   Park Y, 2024, INT J CONCR STRUCT M, V18, DOI 10.1186/s40069-024-00663-2
   Peng Q, 2022, INT J IMPACT ENG, V160, DOI 10.1016/j.ijimpeng.2021.104085
   Prasanna R, 2020, INT J GEOMECH, V20, DOI 10.1061/(ASCE)GM.1943-5622.0001678
   Rashiddel A, 2020, COMPUT GEOTECH, V128, DOI 10.1016/j.compgeo.2020.103822
   Shen YY, 2025, UNDERGR SPACE, V21, P149, DOI 10.1016/j.undsp.2024.03.008
   Tiwari R, 2020, ACTA GEOTECH, V15, P509, DOI 10.1007/s11440-018-0694-x
   Tiwari R, 2016, ROCK MECH ROCK ENG, V49, P4441, DOI 10.1007/s00603-016-1043-8
   Wang LJ, 2023, TUNN UNDERGR SP TECH, V133, DOI 10.1016/j.tust.2022.104953
   Wang YC, 2023, STRUCTURES, V56, DOI 10.1016/j.istruc.2023.105055
   Yakimenko O.A., 2013, AIAA AER DEC SYST AD
   Yang GD, 2022, SOIL DYN EARTHQ ENG, V156, DOI 10.1016/j.soildyn.2022.107216
   Zhang C.L., 2024, Dynamic performance assessment of shallow buried circular tunnels under explosion hazard
   Zhang CL, 2024, TUNN UNDERGR SP TECH, V152, DOI 10.1016/j.tust.2024.105909
   Zhang ZJ, 2023, TUNN UNDERGR SP TECH, V140, DOI 10.1016/j.tust.2023.105272
   Zhong ZL, 2023, COMPUT GEOTECH, V163, DOI 10.1016/j.compgeo.2023.105741
   Zhou LY, 2024, ENG FAIL ANAL, V155, DOI 10.1016/j.engfailanal.2023.107749
   Zhou LY, 2024, UNDERGR SPACE, V14, P118, DOI 10.1016/j.undsp.2023.05.007
   Zhou LY, 2023, INT J IMPACT ENG, V180, DOI 10.1016/j.ijimpeng.2023.104717
   Zhou Q, 2021, DEF TECHNOL, V17, P512, DOI 10.1016/j.dt.2020.03.015
   Zou XP, 2024, COMPUT GEOTECH, V173, DOI 10.1016/j.compgeo.2024.106532
NR 53
TC 0
Z9 0
U1 22
U2 22
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0266-352X
EI 1873-7633
J9 COMPUT GEOTECH
JI Comput. Geotech.
PD MAR
PY 2025
VL 179
AR 107008
DI 10.1016/j.compgeo.2024.107008
EA DEC 2024
PG 24
WC Computer Science, Interdisciplinary Applications; Engineering,
   Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Geology
GA R9C5B
UT WOS:001394336700001
DA 2025-04-22
ER

PT J
AU Zhang, YY
   Chen, ZH
   Tang, B
   Sun, H
AF Zhang, Yuanyuan
   Chen, Zehui
   Tang, Bo
   Sun, Hua
TI Analysis of Spatio-Temporal Characteristics of Urban Economic Resilience
   and Influencing Factors in Guangdong-Hong Kong-Macao Greater Bay Area
SO FRONTIERS IN PUBLIC HEALTH
LA English
DT Review
DE economic resilience; public health emergencies; PSR model;
   Guangdong-Hong Kong-Macao Greater Bay Area; spatial and temporal
   evolution
ID MARKET
AB Due to the changes in the domestic and international economic situation in the post-pandemic era, the economic development of the Guangdong-Hong Kong-Macao Greater Bay Area has become unstable in many aspects. The paper adopted the Pressure-State-Response (PSR) model to build a regional economic resilience evaluation system from the perspective of public health emergencies. Then, the spatial and temporal evolution of the economic resilience of the Guangdong-Hong Kong-Macao Greater Bay Area and the influencing factors were explored by using entropy weight method, GIS and gray correlation method. The conclusions show that: (1) Temporally, the economic resilience of the Guangdong-Hong Kong-Macao Greater Bay Area has generally increased from 2010 to 2021, and is divided into three main stages: rapid development, adjustment to fluctuations and stable development. (2) Spatially, the overall pattern of economic resilience in the Guangdong-Hong Kong-Macao Greater Bay Area is high in the middle and south and low in the northwest, and shows a "stochastic-equalized-polarized " pattern of transformation. (3) In terms of influencing factors, economic status and economic response are the main dimensions affecting the resilience level of the economic system in the Guangdong-Hong Kong-Macao region. The level of scientific research and innovation, medical governance, government regulation and the rationalization of the industrial system are the key factors.
C1 [Zhang, Yuanyuan; Chen, Zehui; Tang, Bo; Sun, Hua] Guangzhou Xinhua Univ, Sch Resources & Planning, Guangzhou, Peoples R China.
   [Chen, Zehui] City Univ Macau, Fac Innovat & Design, Macau, Peoples R China.
C3 City University of Macau
RP Tang, B (corresponding author), Guangzhou Xinhua Univ, Sch Resources & Planning, Guangzhou, Peoples R China.
EM tballen196@163.com
RI 唐, 波/GYV-5280-2022; Zhang, Yuanyuan/I-2370-2017
OI chen, zehui/0000-0002-7121-5653
FU project of the 14th five year plan for the development of Philosophy and
   Social Sciences in Guangzhou in 2021 [2021GZYB22]; College students'
   innovative entrepreneurial training program [S202013902038,
   2018KYQN001]; School level scientific research project of Guangzhou
   Xinhua University [201913902171, 2018KYZD002]; Project of special
   innovation classes for regular universities in Guangdong Province
   (philosophy and social sciences) [2020WTSCX136]; Special research on
   industry in Longjiang Town, Huilai County [2015HX001]
FX We are grateful for the financial support from project of the 14th five
   year plan for the development of Philosophy and Social Sciences in
   Guangzhou in 2021 (No. 2021GZYB22); College students' innovative
   entrepreneurial training program: Resilience assessment of urban
   agglomerations in the Guangdong-Hong Kong-Macao Greater Bay Area based
   on the PSR model (No. S202013902038); School level scientific research
   project of Guangzhou Xinhua University (No. 2018KYQN001); Study on the
   spatial pattern, mechanism and management of innovation in the
   Guangdong-Hong Kong-Macao Greater Bay Area from the perspective of
   regional synergy. Project of special innovation classes for regular
   universities in Guangdong Province (philosophy and social sciences) (No.
   2020WTSCX136); College students' innovative entrepreneurial training
   program (No. 201913902171); School level scientific research project of
   Guangzhou Xinhua University (No. 2018KYZD002); Special research on
   industry in Longjiang Town, Huilai County (2015HX001).
CR Bloom DE., 2019, Center on Democracy, Development and the Rule of Law Working Papers, DOI [DOI 10.3386/W26003, 10.3386/w26003]
   [蔡建明 Cai Jianming], 2012, [地理科学进展, Progress in Geography], V31, P1245
   Chen DY., 2019, CHINA STORAGE TRANSP, DOI DOI 10.16301/J.CNKI.CN12-1204/F.2019.04.040
   Chen TT, 2020, GROWTH CHANGE, V51, P607, DOI 10.1111/grow.12379
   Cheng HD., 2003, COMP ANAL IMPLICATIO
   Deb P, 2022, OPEN ECON REV, V33, P1, DOI 10.1007/s11079-021-09638-2
   FAO, IMP COVID 19 FISH AQ
   Foster K. A., 2007, Working Paper
   Hu XH., 2012, Foreign Economics Management, V8, P64, DOI [DOI 10.16538/J.CNKI.FEM.2012.08.005, 10.16538/j.cnki.fem.2012.08.005]
   Hundt C, 2020, GROWTH CHANGE, V51, P180, DOI 10.1111/grow.12356
   Li L., 2022, NANKAI MANAGEMENT RE, P50
   Li Q., 2020, Finance Econ, V4, P70
   Li XR., 2021, Guizhou Soc. Sci, V1, P116, DOI [10.13713/j.cnki.cssci.2021.01.015, DOI 10.13713/J.CNKI.CSSCI.2021.01.015]
   Li YF., 2013, J WUHAN POLYTECHNIC, V3, P119
   [林耿 Lin Geng], 2020, [地理科学, Scientia Geographica Sinica], V40, P1493
   Liu HH, 2020, J CANCER RES CLIN, V146, P3297, DOI 10.1007/s00432-020-03418-0
   Liu JY., 2016, AREA RES DEV, V3, P11
   Ma LP., 2000, STANDARDIZATION TOTA, P34
   Mai X, 2020, GROWTH CHANGE, V51, P876, DOI 10.1111/grow.12390
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   McKibbin W, 2021, ASIAN ECON PAP, V20, P1, DOI 10.1162/asep_a_00796
   Miao Y., 2016, AUDIT EC RES, V6, P121
   Murphy PeterA., 2000, Asian Geographer, V19, P75, DOI 10.1080/10225706.2000.9684063
   Pan WF., 2021, EC IMPACT COVID 19 P, P30
   Qin CL., 2020, ACAD FORUM, V6, P10, DOI [10.16524/j.45-1002.2020.06.002, DOI 10.16524/J.45-1002.2020.06.002]
   Rapport D.J., 1979, COMPREHENSIVE FRAMEW, P11
   Swanstrom T., 2008, REGIONAL RESILIENCE, P1
   Tian SD., 2020, CONSUM EC, V3, P42
   Whitley R, 2000, ORGAN STUD, V21, P855, DOI 10.1177/0170840600215002
   Wong G, 2008, J URBAN ECON, V63, P74, DOI 10.1016/j.jue.2006.12.007
   [徐媛媛 Xu Yuanyuan], 2017, [地理科学进展, Progress in Geography], V36, P986
   Yan Y., 2022, SYSTEMS COMMUNITY EM, P108
   Yang WY, 2022, TECHNOL ANAL STRATEG, V34, P1020, DOI 10.1080/09537325.2021.1940922
   Ye SS, 2021, GROWTH CHANGE, V52, P2391, DOI 10.1111/grow.12530
   [袁海红 Yuan Haihong], 2015, [地理学报, Acta Geographica Sinica], V70, P271
   Zeng B., 2020, Reg Financ Res, V7, P74
   Zhang TT., 2018, STUDY SPATIAL TEMPOR
   Zhang XM., 2012, RISK ANAL, V5, P21
   Zhou HB., 2014, STUDY OPTIMIZATION G
   Zhu BC., 2020, SECURITIES DAILY
NR 41
TC 19
Z9 19
U1 22
U2 197
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-2565
J9 FRONT PUBLIC HEALTH
JI Front. Public Health
PD JUN 28
PY 2022
VL 10
AR 922096
DI 10.3389/fpubh.2022.922096
PG 14
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA 2V5DL
UT WOS:000823866600001
PM 35836987
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Sharma, S
   Das, A
   Bhattacharya, SP
AF Sharma, Shalini
   Das, Arup
   Bhattacharya, Shankha Pratim
TI Strengthening WASH resilience in flood-affected urban poor communities:
   Insights from Patna
SO CITIES
LA English
DT Article
DE Climate change; Resilience; WASH (water Sanitation and hygiene); Urban
   poor; Floods
AB Aim and approach: This study aims to analyze and develop effective strategies for climate resilience in the WASH (Water, Sanitation and Hygiene) sector with a focus on floods for the urban poor, taking the city of Patna as a case study. Climate change is one of the most pressing challenges we face today, and its effects are evident in events like global warming, variations in precipitation patterns and more. Consequently, climate change directly or indirectly exacerbates various disasters, such as floods, having equal risk for everyone but the marginalized community that already struggles with scarcity of resources and services are more exposed to the disaster. They are very less equipped to address the disasters and hence are more vulnerable. WASH services play an instrumental role in mitigating the effects of any disaster through ensuring continuous water supply at the time of scarcity and providing safe sanitation solutions during flood situations. However, floods also pose a threat to WASH because they can damage water pipelines or inundate toilets, both of which would result in the failure of WASH services. So, it is essential to create strategies that can withstand such hazards in order for WASH services to continue delivering essential functions to the vulnerable population. Key contributions: The city of Patna was chosen as the study area, as it is located near river Ganga and many areas are frequently inundated due to increase in river water level and flash floods. According to the City Development Plan of Patna prepared by the Urban Development Authority of Bihar in 2006, 63.5 % of Patna's population lives in 110 informal settlements. Many of these settlements are located near the river bank and are frequently swamped. Seven slums were chosen for the study after being identified as the most vulnerable among all due to flooding and poor WASH facilities. Several filters including DEM, Slope, level of inundation, Availability of WASH services along with expert surveys were considered to shortlist them. The seven shortlisted slums were Bass Ghat, Naygaon Bari Path, Alamganj Machhua Toli, Gardanibagh Ambedkar Colony, Phelwan Ghat, Paswan Toli and Buddha Colony. The study focuses on the WASH sector of Patna as a city, and then on the WASH assessment for Patna's urban poor, using a range of analyses such as physical vulnerability, socio-economic vulnerability, assets, disruption in WASH, and resilience. Preliminary results and conclusions: Following the identification of the slums, a reconnaissance study was carried out to ascertain their overall situation. Several indicators were identified to assess their physical and socioeconomic vulnerability. Focused Group Discussions and household interviews were carried out and the results, along with the computed weightages, were used to assess the performance of each slum in sectors like housing condition, access to WASH etc. Along with physical and socioeconomic vulnerability, the slums were assessed for the degree of disruption in WASH services they experienced during past floods, as well as the level of resilience they presently possess. The results obtained from the analysis provided insight into the sectors in which a particular slum lacked, and the physical, expert, and household surveys assisted in examining the causes behind each slum's poor performance in a specific sector. After identifying the problem areas and associated causes, appropriate solutions could be introduced to further strengthen WASH resilience of Slums to climate-induced risks such as floods.
C1 [Sharma, Shalini; Das, Arup; Bhattacharya, Shankha Pratim] Indian Inst Technol, Dept Architecture & Planning, Kharagpur 721302, W Bengal, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur
RP Sharma, S (corresponding author), Indian Inst Technol, Dept Architecture & Planning, Kharagpur 721302, W Bengal, India.
EM shalini.sharma173@kgpian.iitkgp.ac.in
CR Adonadaga M. G., 2022, EJ-GEO, V3, P1, DOI DOI 10.24018/EJGEO.2022.3.4.294
   Amaratunga D., 2019, UNDRRMaking Cities Resilient Report 2019April2019, P56
   [Anonymous], 2017, WASH Climate Resilient Development-Technical Brief: Appraising and prioritising options for climate resilient WASH, P27
   [Anonymous], 2019, WMO Statement on the State of the Global Climate in 2018
   [Anonymous], 2012, OECD Environmental Outlook to 2050, DOI [10.1787/9789264122246-en, DOI 10.1787/9789264122246-EN]
   [Anonymous], 2012, WATER SANITATION HYG
   [Anonymous], 2020, Water Sanitation Hygiene: Economics, in
   [Anonymous], 2014, WASH Climate Resilient Development: Local participatory water supply and climate change risk assessment - Modified water safety plans
   [Anonymous], 2009, Vision 2030: The Resilience of Water Supply and Sanitation in the Face of Climate Change
   Asibey MO, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103950
   Bamford E., 2022, Climate-resilient sanitation in practice
   Batchelor C., 2011, Adaptation of WASH services delivery to climate change and other sources of risk and uncertainty
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Chakraborty S., 2022, DECISION ANALYTICS J, V2, P100021, DOI [DOI 10.1016/J.DAJOUR.2021.100021, 10.1016/j.dajour.2021.100021, DOI 10.1016/J.DECAN.2022.100021]
   Chatterjee D, 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014), P1, DOI 10.1109/ICCPCT.2014.7054842
   Dorevella N., 2021, Pacific Dynamics, V5, P1
   Carías MSE, 2022, HEALTH ECON, V31, P2072, DOI 10.1002/hec.4566
   Fankhauser S., 2016, The economics of climate-resilient development
   Gilbert A., 2005, Book review: The challenge of slums: Global report on human settlements 2003
   Golla APS, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103406
   Hallegatte S., 2019, Lifelines-The Resilient Infrastructure Opportunity, DOI [10.1596/978-1-4648-1430-3, DOI 10.1596/978-1-4648-1430-3]
   Hosseinpourtehrani M, 2022, INT J DISAST RISK RE, V80, DOI 10.1016/j.ijdrr.2022.103177
   Howard G, 2021, NPJ CLEAN WATER, V4, DOI 10.1038/s41545-021-00130-5
   Huck W., 2022, Sustainable Development Goals: Article-by-Article Commentary, DOI DOI 10.5040/9781509934058
   Ingle K., 2021, Papers in Applied Geography, V7, P274, DOI [10.1080/23754931.2021.1871773, DOI 10.1080/23754931.2021.1871773]
   Intergovernmental Panel on Climate Change (IPCC, 2023, Climate Change 2021: The Physical Science Basis, DOI DOI 10.1017/9781009157896
   Kayaga S, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102721
   Kim D, 2021, INT CONF UBIQUIT INF, DOI [10.1109/IEDM19574.2021.9720537, 10.1109/IMCOM51814.2021.9377411]
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Kouser-Asif S, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000527
   Krishnan S, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2018.12.023
   Lebu S, 2024, J ENVIRON MANAGE, V354, DOI 10.1016/j.jenvman.2024.120264
   Lee J, 2020, PROG DISASTER SCI, V8, DOI 10.1016/j.pdisas.2020.100123
   Mahadevia D, 2018, Affordable housing as flood resilient for low-income households: Case of Ahmedabad and Surat
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   McEvoy D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236701
   Mwaniki P., 2009, Lessons learned in WASH response during rural flood emergencies the global WASH learning project, P24
   National Rural Health Alliance, 2021, Mental health in rural and remote Australia
   Neog N., 2024, Flood-resilient water supply and sanitation systems: Global case studies, DOI [10.1016/B978-0-443-21499-8.00011-8, DOI 10.1016/B978-0-443-21499-8.00011-8]
   Oates N., 2014, Adaptation to climate change in water, sanitation and hygiene, P98
   Omasete Judith, Water, sanitation and hygiene: The foundation for building resilience in climate-vulnerable communities
   Opoku-Boateng E, 2024, CITIES, V152, DOI 10.1016/j.cities.2024.105234
   Patrick K., 1997, Annual Progress Report
   Rhodes-Dicker L, 2022, WATER RES, V209, DOI 10.1016/j.watres.2021.117909
   Sharma B. M., 2025, Climate change-WASH services-health nexus: The Indian case
   Sharma V.K., 2001, Disaster Prevention and Management, V10, P101, DOI DOI 10.1108/09653560110388852
   Shrestha S, 2014, Climate change and water resources
   Singh C. S., 2014, Journal of Natural Sciences Research, V4, P21
   Smits S., 2009, Waterlines, V28, P210, DOI 10.3362/1756-3488.2009.023
   St. George Freemana Sarah, 2020, Water Security, V9, P9, DOI 10.1016/j.wasec.2019.100053
   Tesfaye K, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9111998
   UDHD, 2016, PATNA MASTER PLAN 2031 town and country planning organisation, P1
   UN Department of Economic and Social Affairs, 2018, World urbanization prospects
   UNICEF, 2017, The Weaponization of Water in a Changing Climate
   UNICEF, 2018, Country Programme 2019-2023
   UNISDR, 2016, UNISDR strategic framework 2016-2021
   UNISDR, 2020, Terminology on disaster risk reduction, P350
   WaterAid, 2021, Programme guidance for climate resilient WASH.
   WaterAid, 2016, How does WASH help people adapt to climate change, P1
   World Bank, 2019, India Today
   World Health Organization, 2020, ANTIBIOTIC RESISTANC
   Zhao HB, 2024, CITIES, V155, DOI 10.1016/j.cities.2024.105444
   Zhu YX, 2020, MATH PROBL ENG, V2020, DOI 10.1155/2020/3564835
NR 63
TC 0
Z9 0
U1 3
U2 3
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD APR
PY 2025
VL 159
AR 105758
DI 10.1016/j.cities.2025.105758
EA JAN 2025
PG 18
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA W0U9M
UT WOS:001415842500001
DA 2025-04-22
ER

PT J
AU Carrero, R
   Acuto, M
   Tzachor, A
   Subedi, N
   Campbell, B
   To, LS
AF Carrero, Rocio
   Acuto, Michele
   Tzachor, Asaf
   Subedi, Niraj
   Campbell, Ben
   To, Long Seng
TI Tacit networks, crucial care: Informal networks and disaster response in
   Nepal's 2015 Gorkha earthquake
SO URBAN STUDIES
LA English
DT Article
DE community; disasters; governance; informality; method; networks; urban
   informality
ID RESILIENCE; RISK; DETERMINANTS; CHALLENGES; FRAMEWORK; CITIES
AB It is often reiterated that a better understanding of local networks and needs is key to risk reduction. Nevertheless, the crucial role of informal social networks and actors in the catering for human needs in disaster circumstances remains largely under-explored. If we have to rethink the 'work' that informality does for our understanding of urban areas, its contribution to resilience, and take it seriously in the 'full spectrum of risk' in urban and peri-urban centres, better and more balanced methods are needed. This paper attends to this gap. Examining the mechanisms of aid provision in the aftermath of the 2015 Gorkha Earthquake in Nepal, it details an experimental set of quantitative research methods to explore the role of informal social networks in the provision of critical human needs in natural disasters. Relying on a sample of 160 households across four districts and 16 villages in the built environment affected by the Gorkha earthquake, the paper reveals that, overall, a wide disparity exists in the comparative importance of organisations in the provision of aid and resources. Much crucial after-disaster care is catered for by a mix of relatives, temples, friends, neighbours and local clubs. It highlights the importance of informal networks in understanding, and theorising, governance (of disaster and of the 'urban' more in general), and calls for greater attention to its role. It is time, it argues, to revalue informal disaster governance networks as a crucial, not tacit, component of disaster response.
C1 [Carrero, Rocio] New Sch, New York, NY USA.
   [Acuto, Michele] Univ Melbourne, Melbourne, Vic, Australia.
   [Tzachor, Asaf] UCL, London, England.
   [Subedi, Niraj] KfW Dev Bank, Kathmandu, Nepal.
   [Campbell, Ben] Univ Durham, Durham, England.
   [To, Long Seng] Loughborough Univ, Loughborough, Leics, England.
C3 The New School; University of Melbourne; University of London;
   University College London; Durham University; Loughborough University
RP Acuto, M (corresponding author), Univ Melbourne, Connected Cities Lab, Masson Rd, Melbourne, Vic 3010, Australia.
EM michele.acuto@unimelb.edu.au
RI Campbell, Benjamin/JAO-0110-2023
OI Acuto, Michele/0000-0003-4320-0531; Tzachor, Asaf/0000-0002-4032-4996;
   To, Long Seng/0000-0003-4676-5810
FU UK Engineering and Physical Research Council (EPSRC) [EP/N005961/1];
   Department of Science, Technology, Engineering and Public Policy at
   University College London (UCL STEaPP); 'Enhancing community resilience
   using renewable energy in Nepal' (UCL STEaPP); EPSRC [EP/N005961/1]
   Funding Source: UKRI
FX Research for this grant has been funded under the UK Engineering and
   Physical Research Council (EPSRC) research grant 'Vaccinating the Nexus'
   (EP/N005961/1). The authors would like to thank the Department of
   Science, Technology, Engineering and Public Policy at University College
   London (UCL STEaPP) for additional funding, and the support of the
   'Enhancing community resilience using renewable energy in Nepal' (also
   UCL STEaPP funded) project, including Professor Yacob Mulugetta at UCL,
   in enabling the fieldwork for this study.
CR Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Aldrich DP, 2015, SOC SCI MED, V124, P66, DOI 10.1016/j.socscimed.2014.11.025
   Angelo H, 2015, INT J URBAN REGIONAL, V39, P16, DOI 10.1111/1468-2427.12105
   Archer D, 2017, ENVIRON URBAN, V29, P339, DOI 10.1177/0956247817722731
   Barnett C, 2016, ENVIRON URBAN, V28, P87, DOI 10.1177/0956247815621473
   Basu M, 2017, INT J DISAST RISK RE, V24, P24, DOI 10.1016/j.ijdrr.2017.05.020
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Bevir M., 2012, GOVERNANCE VERY SHOR
   Bisri MBF, 2016, PROCEDIA ENGINEER, V159, P19, DOI 10.1016/j.proeng.2016.08.059
   Black T.R., 1999, DOING QUANTITATIVE R
   Brenner N, 2016, ARCHIT DESIGN, V86, P118, DOI 10.1002/ad.2077
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Daly P, 2017, ENVIRON URBAN, V29, P403, DOI 10.1177/0956247817721403
   Dey S., 2015, IOSR JHSS, V20, P28
   Dickson E., 2012, URBAN DEV SERIES
   Dimmer C, 2014, PLAN THEORY PRACT, V15, P260
   Elliott JR, 2010, SOCIOL QUART, V51, P624, DOI 10.1111/j.1533-8525.2010.01186.x
   Flinn B., 2017, FORCED MIGRATION REV, V55, P12
   Fordham M., 2003, NATURAL DISASTERS GL, P73, DOI [10.4324/9780203402375, DOI 10.4324/9780203402375-15]
   Fussell E., 2012, Displaced: Life in the Katrina Diaspora, P150
   Fussell E, 2010, ANN AM ACAD POLIT SS, V630, P162, DOI 10.1177/0002716210368108
   Gall M, 2015, INT J DISAST RISK RE, V12, P255, DOI 10.1016/j.ijdrr.2015.01.010
   Gordon IR, 2000, URBAN STUD, V37, P513, DOI 10.1080/0042098002096
   Granovetter M., 1983, SOCIOLOGICAL THEORY, V1, P201, DOI DOI 10.2307/202051
   Haines VA, 1996, J HEALTH SOC BEHAV, V37, P252, DOI 10.2307/2137295
   Islam R, 2017, INT J DISAST RISK RE, V22, P325, DOI 10.1016/j.ijdrr.2017.02.011
   Joseph S, 2005, REV GEN PSYCHOL, V9, P262, DOI 10.1037/1089-2680.9.3.262
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Lasswell Harold, 1936, Politics: Who gets what, when and how
   Magnusson Warren, 2013, POLITICS URBANISM SE
   Maslow A., 1970, Motivation and personality
   McFarlane C., 2012, URBAN INFORM REFLECT
   Mcfarlane C, 2012, PLAN THEORY PRACT, V13, P89, DOI 10.1080/14649357.2012.649951
   Muzzini E., 2013, URBAN GROWTH SPATIAL
   OECD, 2001, The Well-Being of Nations. The Role of Human and Social Capital
   Putnam R., 1999, BOWLING ALONE
   QUARANTELLI EL, 1982, DISASTERS, V6, P2, DOI 10.1111/j.1467-7717.1982.tb00735.x
   Roy A, 2005, J AM PLANN ASSOC, V71, P147, DOI 10.1080/01944360508976689
   Sanderson D., 2016, Urban Disaster Resilience - New Dimensions from International Practice in the Built Environment
   Satterthwaite D, 2017, ENVIRON URBAN, V29, P3, DOI 10.1177/0956247817691921
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P291, DOI 10.1177/0956247813501421
   Tierney Kathleen., 2014, SOCIAL ROOTS RISK PR
   Tomba Luigi., 2014, GOVT NEXT DOOR NEIGH
   Twigg J., 2017, 523 ODI
   USAID, 2015, NEP EARTHQ
   Usamah M, 2014, INT J DISAST RISK RE, V10, P178, DOI 10.1016/j.ijdrr.2014.08.007
   Wahlstrom M, 2017, EUR J SOC WORK, V20, P333, DOI 10.1080/13691457.2017.1314936
   Yiftachel O., 2009, CITY, V13, P2, DOI DOI 10.1080/13604810902982227
NR 50
TC 18
Z9 19
U1 0
U2 30
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0042-0980
EI 1360-063X
J9 URBAN STUD
JI Urban Stud.
PD FEB
PY 2019
VL 56
IS 3
SI SI
BP 561
EP 577
DI 10.1177/0042098018810606
PG 17
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA HJ3GG
UT WOS:000457057600007
OA Green Published, Green Submitted, Green Accepted
DA 2025-04-22
ER

PT J
AU Xie, XF
   Pu, LJ
AF Xie, Xuefeng
   Pu, Lijie
TI Assessment of Urban Ecosystem Health Based on Matter Element Analysis: A
   Case Study of 13 Cities in Jiangsu Province, China
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE urban ecosystem health assessment; analytic hierarchy process; limiting
   factors; obstacle degree
ID EMERGY; MODEL; CITY
AB Urban public health is an important global issue and receives public concern. The urban ecosystem health (UEH) indicator system was constructed with 27 assessment indicators selected from vigor, organization, resilience, service function, and population health, then the matter element analysis (MEA) and analytic hierarchy process (AHP) weighting method were used to assess the UEH of each city in Jiangsu Province during the period of 2000-2014. The results show that the overall ecosystem health status of each city shows continuous improvement. The UEH status of each city gradually transferred from poor, general, and medium condition to good and excellent condition. From the perspective of spatial distribution, the city's UEH showing a steady status after increasing for 10 years, and their spatial variations have gradually reduced. The UEH status in Southern Jiangsu and Central Jiangsu was better than that of Northern Jiangsu Province. From each component point of view, the vigor, resilience, and population health of each city in Jiangsu Province showed a trend of continuous improvement, while the organization and service function first increased and then decreased. The common limiting factors of UEH in Jiangsu Province were Engel's coefficient of urban households, number of beds of hospitals, health centers per 10,000 people, and total investment in the treatment of environmental pollution as percent GDP. These results help decision makers to make suitable decisions to maintain the UEH of each city in Jiangsu Province.
C1 [Xie, Xuefeng; Pu, Lijie] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.
   [Xie, Xuefeng; Pu, Lijie] Nanjing Univ, Minist Land & Resources, Key Lab Coastal Zone Exploitat & Protect, Nanjing 210023, Jiangsu, Peoples R China.
C3 Nanjing University; Nanjing University; Ministry of Natural Resources of
   the People's Republic of China
RP Pu, LJ (corresponding author), Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.; Pu, LJ (corresponding author), Nanjing Univ, Minist Land & Resources, Key Lab Coastal Zone Exploitat & Protect, Nanjing 210023, Jiangsu, Peoples R China.
EM xiexuefeng2008@126.com; ljpu@nju.edu.cn
RI xie, xuefeng/AEQ-7470-2022
OI xie, xuefeng/0000-0002-2323-7452
FU National Natural Science Foundation of China [41230751]; Science and
   Technology Project of Land AMP; Resources of Jiangsu Province, China
   [2015001]; National Key Technology Research and Development Program of
   China [2012BAC01B01]; Postgraduate Research AMP; Practice Innovation
   Program of Jiangsu Province [KYCX17_0024]
FX This work was supported by the National Natural Science Foundation of
   China (No. 41230751), Science and Technology Project of Land & Resources
   of Jiangsu Province, China (No. 2015001), the National Key Technology
   Research and Development Program of China (2012BAC01B01), and the
   Postgraduate Research & Practice Innovation Program of Jiangsu Province
   (KYCX17_0024).
CR Piña WHA, 2014, ECOL INDIC, V42, P32, DOI 10.1016/j.ecolind.2013.10.035
   Cai W, 1999, CHINESE SCI BULL, V44, P1538, DOI 10.1007/BF02886090
   Cai W., 1994, The Matter-element Model and Its Application
   Costanza R, 2012, ECOL ENG, V45, P24, DOI 10.1016/j.ecoleng.2012.03.023
   Costanza Robert, 1992, P239
   Feng LH, 2014, METEOROL APPL, V21, P398, DOI 10.1002/met.1354
   Guidotti T., 1995, ECOSYST HEALTH, V1, P141
   Harpham T, 1996, HEALTH PLACE, V2, P45, DOI 10.1016/1353-8292(95)00041-0
   Jiangsu Provincial Department of Environmental Protection, 2011, 2011 JIANGS ENV QUAL
   Jiangsu Provincial Department of Environmental Protection, 2006, 2006 JIANGS ENV QUAL
   Jiangsu Provincial Department of Environmental Protection, 2001, 2001 JIANGS ENV QUAL
   Jiangsu Provincial Department of Environmental Protection, 2015, 2015 JIANGS ENV QUAL
   Jin J, 2013, J CHEM-NY, V2013, DOI 10.1155/2013/715647
   Jorgensen SE, 2011, APPL ECOL ENV MGMT, P3
   Li YF, 2014, SCI TOTAL ENVIRON, V487, P154, DOI 10.1016/j.scitotenv.2014.03.139
   Liu D. L., 2016, CHINA INT J ENV RES, V14, P2
   Liu GY, 2009, ECOL MODEL, V220, P2291, DOI 10.1016/j.ecolmodel.2009.05.019
   Lu Yonglong, 2015, Ecosystem Health and Sustainability, V1, DOI 10.1890/EHS14-0013.1
   Mageau MT., 1995, ECOSYST HEALTH, V1, P201
   Moral FJ, 2014, STOCH ENV RES RISK A, V28, P455, DOI 10.1007/s00477-013-0764-4
   National Bureau of Statistics of the People's Republic of China, 2001, 2001 JIANGS STAT YB
   National Bureau of Statistics of the People's Republic of China, 2015, 2015 JIANGS STAT YB
   National Bureau of Statistics of the People's Republic of China, 2011, 2011 JIANGS STAT YB
   National Bureau of Statistics of the People's Republic of China, 2006, 2006 JIANGS STATA YB
   O'Brien A, 2016, ECOL INDIC, V69, P722, DOI 10.1016/j.ecolind.2016.05.004
   Ou ZR, 2017, J MT SCI-ENGL, V14, P870, DOI 10.1007/s11629-016-4199-5
   Pan GB, 2015, ENVIRON RES, V139, P31, DOI 10.1016/j.envres.2015.02.013
   Peng J, 2015, LANDSCAPE URBAN PLAN, V143, P56, DOI 10.1016/j.landurbplan.2015.06.007
   Shankar KM, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080824
   Shi XQ, 2014, J CLEAN PROD, V64, P437, DOI 10.1016/j.jclepro.2013.09.051
   Su MR, 2009, ECOL MODEL, V220, P2341, DOI 10.1016/j.ecolmodel.2009.06.010
   Su MR, 2013, INT J ENV RES PUB HE, V10, P5874, DOI 10.3390/ijerph10115874
   Su MR, 2013, FRONT EARTH SCI-PRC, V7, P191, DOI 10.1007/s11707-013-0353-3
   Su MR, 2010, SCI TOTAL ENVIRON, V408, P2425, DOI 10.1016/j.scitotenv.2010.03.009
   Tao X. Y., 2008, P IEEE INT GEOSC REM, P193
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Veisi H, 2016, ECOL INDIC, V60, P644, DOI 10.1016/j.ecolind.2015.08.012
   Wang RS, 2011, ECOL COMPLEX, V8, P15, DOI 10.1016/j.ecocom.2010.11.001
   [魏婷 WEI Ting], 2008, [生态学报, Acta Ecologica Sinica], V28, P6312
   Wilkins DA, 1999, TRENDS ECOL EVOL, V14, P69, DOI 10.1016/S0169-5347(98)01449-9
   Yang Q, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090869
   Yang ZF, 2010, COMMUN NONLINEAR SCI, V15, P2701, DOI 10.1016/j.cnsns.2009.09.027
   Zeng C, 2016, CITIES, V53, P110, DOI 10.1016/j.cities.2016.01.010
   Zhang Y, 2006, ECOL MODEL, V197, P1, DOI 10.1016/j.ecolmodel.2006.02.032
   Zhao SA, 2015, STOCH ENV RES RISK A, V29, P1601, DOI 10.1007/s00477-015-1024-6
   [周彬 Zhou Bin], 2015, [地理科学, Scientia Geographica Sinica], V35, P599
NR 46
TC 22
Z9 24
U1 2
U2 69
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD AUG
PY 2017
VL 14
IS 8
AR 940
DI 10.3390/ijerph14080940
PG 17
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA FF1UL
UT WOS:000408684300110
PM 28825690
OA Green Submitted, Green Published, gold
DA 2025-04-22
ER

PT J
AU White, JM
   Stromberg, JC
AF White, Jacqueline M.
   Stromberg, Juliet C.
TI Resilience, Restoration, and Riparian Ecosystems: Case Study of a Dry
   land, Urban River
SO RESTORATION ECOLOGY
LA English
DT Article
DE resilience; riparian; seed bank; urbanization; vegetation
ID SEED BANK DYNAMICS; FLOW REGIMES; VEGETATION; FLOODPLAIN; DISPERSAL;
   STREAM; BIODIVERSITY; VARIABILITY; HYDROCHORY; HYDROLOGY
AB Resilient systems can absorb disturbance and persist despite variability as long as the capacity of the system to adapt is not exceeded. Riparian plant communities of dryland alluvial rivers are expected to be naturally resilient systems because they persist in the highly variable flood-plain. River modification has altered the flow regime on many dryland rivers, in some cases exceeding the adaptive capacity of the riparian vegetation, but these changes may be readily reversible. The Salt River in Phoenix, Arizona has been impounded, dewatered, channelized, but also rewatered with urban effluent and storm drain runoff. To determine whether riparian vegetation is resilient to these various perturbations, paired comparisons were made in the vegetation and seed bank between a non-diverted reference reach, a diverted reach, and a re-watered urban reach. In the diverted reach, composition had shifted to that of a stress tolerant xeroriparian shrubland with low diversity in both the seed bank and extant vegetation. Most surprisingly, few differences were observed in the composition and structure of the vegetation and soil seed banks between the reference reach and the urban reach, particularly in the wet patches, suggesting that hydric riparian plant communities have the capacity to adapt to these modified conditions. These results provide support for a process-oriented approach to restoration on the Salt River and other urban dryland rivers using patches of persisting vegetation as models for achievable restoration targets.
C1 [White, Jacqueline M.] Univ N Carolina, Curriculum Ecol, Chapel Hill, NC 27599 USA.
   [Stromberg, Juliet C.] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA.
C3 University of North Carolina; University of North Carolina Chapel Hill;
   Arizona State University; Arizona State University-Tempe
RP White, JM (corresponding author), Univ N Carolina, Curriculum Ecol, Chapel Hill, NC 27599 USA.
EM jackie.white@unc.edu
FU U.S. Geological Survey
FX Funding for this project was provided by the U.S. Geological Survey 104B
   program, as administered by the University of Arizona Water Research
   Resources Center, and by the Central Arizona-Phoenix Long-Term
   Ecological Research project.
CR [Anonymous], 1994, Biodiversity
   [Anonymous], 2004, ECOLOGY SOC
   [Anonymous], 2002, RIP AR FUNCT STRAT M
   [Anonymous], 2013, ESTIMATES STAT ESTIM
   [Anonymous], 2002, ANAL ECOLOGICAL COMM
   Beisner BE, 2003, FRONT ECOL ENVIRON, V1, P376, DOI 10.2307/3868190
   Bernhardt ES, 2007, FRESHWATER BIOL, V52, P738, DOI 10.1111/j.1365-2427.2006.01718.x
   Bernhardt ES, 2005, SCIENCE, V308, P636, DOI 10.1126/science.1109769
   BLOSS D A, 1979, Great Basin Naturalist, V39, P161
   Boudell JA, 2008, WETLANDS, V28, P656, DOI 10.1672/07-133.1
   Briggs M.K., 1996, Riparian ecosystem recovery in arid lands: strategies and references
   Brock JH, 1997, PLANT INVASIONS: STUDIES FROM NORTH AMERICA AND EUROPE, P19
   Brock MA, 1998, AQUAT BOT, V61, P123, DOI 10.1016/S0304-3770(98)00062-X
   Capon SJ, 2006, FRESHWATER BIOL, V51, P206, DOI 10.1111/j.1365-2427.2005.01484.x
   Capon SJ, 2005, J ARID ENVIRON, V60, P283, DOI 10.1016/j.jaridenv.2004.04.004
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Deil U, 2005, PHYTOCOENOLOGIA, V35, P533, DOI 10.1127/0340-269X/2005/0035-0533
   Didham RK, 2005, OIKOS, V110, P409, DOI 10.1111/j.0030-1299.2005.13883.x
   Drezner TD, 2001, GLOBAL ECOL BIOGEOGR, V10, P205, DOI 10.1046/j.1466-822x.2001.00216.x
   Ehrenfeld JG, 2005, J TORREY BOT SOC, V132, P262, DOI 10.3159/1095-5674(2005)132[262:VOFWIU]2.0.CO;2
   Ehrenfeld JG, 2000, RESTOR ECOL, V8, P2, DOI 10.1046/j.1526-100x.2000.80002.x
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Gilbert, 1989, ECOLOGY URBAN ENV
   Graf WL, 2000, ENVIRON MANAGE, V25, P321, DOI 10.1007/s002679910025
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hardy PC, 2004, WEST N AM NATURALIST, V64, P59
   Hernandez M, 2000, ENVIRON MONIT ASSESS, V64, P285, DOI 10.1023/A:1006445811859
   Hilderbrand RH, 2005, ECOL SOC, V10
   Hobbs RJ, 1996, RESTOR ECOL, V4, P93, DOI 10.1111/j.1526-100X.1996.tb00112.x
   Hobbs RJ, 2001, RESTOR ECOL, V9, P239, DOI 10.1046/j.1526-100x.2001.009002239.x
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jacobs D., 2003, CENTRAL ARIZONA PHOE, V3
   Jansson R, 2005, J ECOL, V93, P1094, DOI 10.1111/j.1365-2745.2005.01057.x
   Lake PS, 2003, FRESHWATER BIOL, V48, P1161, DOI 10.1046/j.1365-2427.2003.01086.x
   Merritt DM, 2002, ECOL APPL, V12, P1071, DOI 10.1890/1051-0761(2002)012[1071:PGHARH]2.0.CO;2
   Middleton BethA., 2002, FLOOD PULSING WETLAN, P1
   Nilsson C, 2002, ENVIRON MANAGE, V30, P468, DOI 10.1007/s00267-002-2735-2
   Palmer MA, 2005, J APPL ECOL, V42, P208, DOI 10.1111/j.1365-2664.2005.01004.x
   Paul MJ, 2001, ANNU REV ECOL SYST, V32, P333, DOI 10.1146/annurev.ecolsys.32.081501.114040
   Poff NL, 2007, P NATL ACAD SCI USA, V104, P5732, DOI 10.1073/pnas.0609812104
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Pollux BJA, 2005, FRESHWATER BIOL, V50, P232, DOI 10.1111/j.1365-2427.2004.01314.x
   Roberts H. A., 1981, Advances in Applied Biology, V6, P1
   Rood SB, 2005, FRONT ECOL ENVIRON, V3, P193, DOI 10.1890/1540-9295(2005)003[0193:MRFTRF]2.0.CO;2
   Seabloom EW, 2003, J APPL ECOL, V40, P92, DOI 10.1046/j.1365-2664.2003.00764.x
   Semenova GV, 2000, J VEG SCI, V11, P917, DOI 10.2307/3236562
   Shah JJF, 2007, RESTOR ECOL, V15, P550, DOI 10.1111/j.1526-100X.2007.00250.x
   Stromberg JC, 2008, FUNCT ECOL, V22, P205, DOI 10.1111/j.1365-2435.2007.01375.x
   Stromberg JC, 2001, J ARID ENVIRON, V49, P17, DOI 10.1006/jare.2001.0833
   Stromberg JC, 2007, GLOBAL ECOL BIOGEOGR, V16, P381, DOI 10.1111/j.1466-8238.2007.00297.x
   Trowbridge WB, 2007, ECOL APPL, V17, P1312, DOI 10.1890/06-1242.1
   White MD, 2006, LANDSCAPE URBAN PLAN, V74, P125, DOI 10.1016/j.landurbplan.2004.11.015
NR 53
TC 22
Z9 31
U1 4
U2 131
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1061-2971
EI 1526-100X
J9 RESTOR ECOL
JI Restor. Ecol.
PD JAN
PY 2011
VL 19
IS 1
BP 101
EP 111
DI 10.1111/j.1526-100X.2009.00531.x
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 704AV
UT WOS:000286024400012
OA Bronze
DA 2025-04-22
ER

PT J
AU Shang, QX
   Guo, XD
   Li, QW
   Xu, Z
   Xie, LL
   Liu, CF
   Li, JC
   Wang, T
AF Shang, Qingxue
   Guo, Xiaodong
   Li, Quanwang
   Xu, Zhen
   Xie, Linlin
   Liu, Chaofeng
   Li, Jichao
   Wang, Tao
TI A benchmark city for seismic resilience assessment
SO EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION
LA English
DT Article
DE seismic resilience; resilience assessment; benchmark model; lifeline
   systems; fragility models
ID FRAMEWORK; PERFORMANCE; COMMUNITY
AB The concept of seismic resilience has received significant attention from academia and industry during the last two decades. Different frameworks have been proposed for seismic resilience assessment of engineering systems at different scales (e.g., buildings, bridges, communities, and cities). Testbeds including Centerville virtual community (CVC), Memphis testbed (MTB), and the virtual city of Turin, Italy (VC-TI) have been developed during the last decade. However, the resilience assessment results of Chinese cities still require calibration based on a unified evaluation model. Therefore, a geographic information system (GIS)-based benchmark model of a medium-sized city located in the southeastern coastal region of China was developed. The benchmark city can be used to compare existing assessment frameworks and calibrate the assessment results. The demographics, site conditions, and potential hazard exposure of the benchmark city, as well as land use and building inventory are described in this paper. Data of lifeline systems are provided, including power, transportation, water, drainage, and natural gas distribution networks, as well as the locations of hospitals, emergency shelters, and schools. Data from past earthquakes and the literature were obtained to develop seismic fragility models, consequence models, and recovery models, which can be used as basic data or calibration data in the resilience assessment process. To demonstrate the completeness of the data included in the benchmark city, a case study on the accessibility of emergency rescue after earthquakes was conducted, and the preliminary results were discussed. The ultimate goal of this benchmark city is to provide a platform for calibrating resilience assessment results and to facilitate the development of resilient cities in China.
C1 [Shang, Qingxue; Li, Jichao; Wang, Tao] China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin 150080, Peoples R China.
   [Guo, Xiaodong] Beijing Univ Technol, Earthquake Resistance & Disaster Mitigat Inst, Beijing 100022, Peoples R China.
   [Li, Quanwang] Tsinghua Univ, Dept Civil Engn, Beijing 100084, Peoples R China.
   [Xu, Zhen] Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing Key Lab Urban Underground Space Engn, Beijing 100083, Peoples R China.
   [Xie, Linlin] Beijing Univ Civil Engn & Architecture, Sch Civil & Transportat Engn, Beijing 100044, Peoples R China.
   [Liu, Chaofeng] Hebei Univ Technol, Sch Civil Engn & Transportat, Tianjin 300401, Peoples R China.
C3 China Earthquake Administration; Institute of Engineering Mechanics,
   CEA; Beijing University of Technology; Tsinghua University; University
   of Science & Technology Beijing; Beijing University of Civil Engineering
   & Architecture; Hebei University of Technology
RP Wang, T (corresponding author), China Earthquake Adm, Inst Engn Mech, Yanjiao Econ Developing Area, North Outer Ring Rd 1, Sanhe 065201, Peoples R China.
EM wangtao@iem.ac.cn
RI Xie, linlin/GZG-9107-2022; Qingxue, Shang/IXD-9945-2023; Wang,
   Tao/AAC-2206-2021; XU, Zhen/JNX-0642-2023
OI guo, xiao dong/0000-0002-6122-3924; Shang, Qingxue/0000-0001-6009-2830;
   Xie, Linlin/0000-0003-3796-5271; Xu, Zhen/0000-0001-7011-3236
FU Scientific Research Fund of Institute of Engineering Mechanics, China
   Earthquake Administration [2019EEEVL0505, 2019B02, 2019A02];
   Heilongjiang Touyan Innovation Team Program
FX This research was funded by the Scientific Research Fund of Institute of
   Engineering Mechanics, China Earthquake Administration (Grant Nos.
   2019EEEVL0505, 2019B02 and 2019A02) and Heilongjiang Touyan Innovation
   Team Program. Any opinions, findings and conclusions or recommendations
   expressed in this paper are those of the authors and do not necessarily
   reflect the views of the sponsors.
CR Almufti I., 2013, REDITM RATING SYSTEM
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2007, WORDS ACT GUID IMPL
   [Anonymous], 1989, 1189 GBJ
   [Anonymous], 2020, Summary of Stakeholder Feedback: Building Resilient Infrastructure and Communities (BRIC)
   [Anonymous], 2010, GB 50011-2010
   [Anonymous], 2001, Code for Seismic Design of Buildings
   [Anonymous], 2004, THESIS
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Burton HV, 2017, EARTHQ SPECTRA, V33, P1347, DOI 10.1193/040916EQS057M
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Cimellaro G. P., 2009, MCEER090009
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Cimellaro GP, 2011, EARTHQ ENG STRUCT D, V40, P1197, DOI 10.1002/eqe.1084
   Cimellaro GP, 2010, STRUCT INFRASTRUCT E, V6, P127, DOI 10.1080/15732470802663847
   Djalante R, 2012, NAT HAZARDS, V62, P779, DOI 10.1007/s11069-012-0106-8
   Dong Y, 2017, STRUCT INFRASTRUCT E, V13, P160, DOI 10.1080/15732479.2016.1198399
   Ellingwood BR, 2016, SUSTAIN RESIL INFRAS, V1, P95, DOI 10.1080/23789689.2016.1255000
   FEMA P58, 2012, P58 FEMA ATC, V1
   Filiatrault A, 2014, EARTHQ ENG ENG VIB, V13, P17, DOI 10.1007/s11803-014-0238-9
   Gao J., 2001, RESOUR SCI, V23, P69
   GB, 2015, GB 18306-2015
   GB/T, 2012, 1820842011 GBT
   GB/T, 2020, GB/T 38591-2020
   HAZUS-MH, 2003, MR3 HAZUSMH
   Hingorani R, 2020, STRUCT SAF, V85, DOI 10.1016/j.strusafe.2019.101910
   Hong HP, 2019, B SEISMOL SOC AM, V109, P2106, DOI 10.1785/0120180269
   Hu YF, 2012, EARTHQ ENG ENG VIB, V11, P499, DOI 10.1007/s11803-012-0137-x
   Kammouh O, 2018, ENG STRUCT, V173, P393, DOI 10.1016/j.engstruct.2018.06.093
   Kelman I, 2015, INT J DISAST RISK SC, V6, P105, DOI 10.1007/s13753-015-0056-3
   Kyriazis P, 2013, SYSTEMIC SEISMIC VUL
   Li JC, 2019, EARTHQ ENG STRUCT D, V48, DOI 10.1002/eqe.3138
   Li YM, 2017, EARTHQUAKE RESISTANT, V39, P55
   [林庆利 Lin Qingli], 2017, [振动与冲击, Journal of Vibration and Shock], V36, P110
   Lu Y, 2018, J STRUCT ENG, V144, DOI 10.1061/(ASCE)ST.1943-541X.0002140
   Miles SB, 2006, EARTHQ SPECTRA, V22, P439, DOI 10.1193/1.2192847
   Monsalve M, 2019, RELIAB ENG SYST SAFE, V181, P167, DOI 10.1016/j.ress.2018.10.005
   National Institute of Standards and Technology (NIST), 2016, NIST SPECIAL PUBLICA, V1190
   Noori AZ, 2017, 8 INT C STRUCT HLTH
   Pali T, 2018, EARTHQ ENG STRUCT D, V47, P1566, DOI 10.1002/eqe.3031
   Pitilakis K, 2014, GEOTECH GEOL EARTHQ, V31, P1, DOI 10.1007/978-94-017-8835-9
   Planning Administration of Rugao (PAR), 2017, GEN URB PLANN RUG 20
   Reiner M, 2017, SUSTAIN RESIL INFRAS, V2, P1, DOI 10.1080/23789689.2017.1278994
   San Francisco Bay Area Planning and Urban Research Association (SPUR), 2008, RES CIT DEF WHAT SAN
   Shang QX, 2020, STRUCT SAF, V85, DOI 10.1016/j.strusafe.2020.101944
   Steelman J., 2008, Capstone scenario applications of consequence-based risk management for the memphis testbed
   Taghavi S., 2003, Pacific Earthquake Engineering R esearch Center, PE ER R eport 2003/05, U niversity o f C alifornia
   Wang T, 2019, FRONT BUILT ENVIRON, V5, DOI 10.3389/fbuil.2019.00049
   Xiong C, 2020, COMPUT-AIDED CIV INF, V35, P322, DOI 10.1111/mice.12496
   Xu M.Y., 2019, Seismic Fragility Analysis of Frame-Shear Structures Based on New Intensity Measures and CPU Parallel computingD
   Yodo N, 2016, J MECH DESIGN, V138, DOI 10.1115/1.4034223
   Yu XH, 2016, EARTHQ STRUCT, V10, P141, DOI 10.12989/eas.2016.10.1.141
NR 53
TC 24
Z9 26
U1 12
U2 98
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1671-3664
EI 1993-503X
J9 EARTHQ ENG ENG VIB
JI Earthq. Eng. Eng. Vib.
PD OCT
PY 2020
VL 19
IS 4
BP 811
EP 826
DI 10.1007/s11803-020-0597-3
PG 16
WC Engineering, Civil; Engineering, Geological
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA OF2SU
UT WOS:000581065100001
DA 2025-04-22
ER

PT J
AU Li, Y
   Chen, ZH
AF Li, Yan
   Chen, Zhenhua
TI Does transportation infrastructure accelerate factor outflow from
   shrinking cities? An evidence from China
SO TRANSPORT POLICY
LA English
DT Article
DE Transportation infrastructure; Urban shrinkage; Multi-dimensional;
   Factor outflow; Difference-in-difference model
ID HIGH-SPEED RAIL; URBAN SHRINKAGE; IMPACT; GROWTH; INVESTMENT;
   CHALLENGES; EFFICIENCY; SPILLOVER; GERMANY; REGION
AB Shrinking cities have received increasing attention in recent years given that the emergence of these cities has raised concerns about social equity, stability and sustainability. While extensive studies have attempted to measure the structural changes from a demographic perspective, it remains unclear to what extent the devel-opment of transportation infrastructure may have influenced the formation of shrinking cities, especially considering a multi-dimensional structural change. This study fills this research gap by conducting a compre-hensive impact assessment of transportation infrastructure on the development of shrinking cities in China, considering demographic, economic, and social changes. Based on the New Economic Geography theory, a novel multi-dimensional shrinking index system was developed and the characteristics of spatial distributions of different types of shrinking cities were analyzed using the GIS analysis. In particular, the impacts of two primary surface transportation modes (roadway and high-speed rail) on shrinking cities' performance were examined using a two-stage least-square model and a Difference-in-Difference model. The results confirm that both the development of roadway and high-speed rail systems have exacerbated the loss of critical factors, such as per-manent population, in most shrinking cities, although the degree of impact varies by the different modes and dimensions of shrinkage. Specifically, transportation infrastructure mainly intensifies the losses of economic and social factors in shrinking cities, while the impact on demographic loss is negligible. The research findings suggest that future infrastructure investment and the strategies for urban governance should be implemented more selectively based on the different types of shrinking cities to achieve more sustainable and resilient urban development.
C1 [Li, Yan] Anhui Univ, Acad Strategies Innovat & Dev, 3 Feixi Rd, Hefei 230039, Peoples R China.
   [Chen, Zhenhua] Ohio State Univ, City & Reg Planning, 275 W Woodruff Ave, Columbus, OH 43210 USA.
C3 Anhui University; University System of Ohio; Ohio State University
RP Chen, ZH (corresponding author), Ohio State Univ, City & Reg Planning, 275 W Woodruff Ave, Columbus, OH 43210 USA.
EM chen.7172@osu.edu
RI Chen, Zhenhua/B-9693-2017
OI Chen, Zhenhua/0000-0003-0473-1508
FU Social Science Foundation of China [21CJY050]
FX This research was supported by the Social Science Foundation of China
   (Grant No. 21CJY050) .
CR Alexandru B., 2017, SUSTAINABILITY-BASEL, V9, P1
   Allen T., 2019, WELFARE EFFECTS TRAN
   Baum-Snow N, 2017, REV ECON STAT, V99, P435, DOI 10.1162/REST_a_00660
   Bernt M, 2016, INT J URBAN REGIONAL, V40, P441, DOI 10.1111/1468-2427.12289
   Cantos P, 2005, TRANSPORT REV, V25, P25, DOI 10.1080/014416410001676852
   Chen J, 2021, ENERGY, V230, DOI 10.1016/j.energy.2021.120816
   Chen ZH, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2020.104962
   Chen ZH, 2020, TRANSPORT RES D-TR E, V86, DOI 10.1016/j.trd.2020.102453
   Chen ZH, 2019, EUR PLAN STUD, V27, P483, DOI 10.1080/09654313.2018.1562655
   Chen ZH, 2017, J TRANSP GEOGR, V65, P80, DOI 10.1016/j.jtrangeo.2017.08.003
   Chen ZH, 2016, TRANSPORT RES A-POL, V92, P232, DOI 10.1016/j.tra.2016.08.006
   Delken E, 2008, J HAPPINESS STUD, V9, P213, DOI 10.1007/s10902-007-9046-5
   Deng M., 2020, Journal of Business Administration Research, V3, P1, DOI DOI 10.30564/JBAR.V3I3.1892
   Deng TT, 2019, CITIES, V86, P210, DOI 10.1016/j.cities.2018.09.017
   Du ZW, 2019, J GEOGR SCI, V29, P1331, DOI 10.1007/s11442-019-1662-6
   Feng QY, 2023, TRANSPORT POLICY, V133, P64, DOI 10.1016/j.tranpol.2023.01.006
   Fingleton B, 2013, J REGIONAL SCI, V53, P443, DOI 10.1111/jors.12020
   Glaeser EL, 2010, J REGIONAL SCI, V50, P221, DOI 10.1111/j.1467-9787.2009.00635.x
   Gu DW, 2019, LAND USE POLICY, V83, P505, DOI 10.1016/j.landusepol.2019.02.033
   Guirao B, 2018, CITIES, V78, P140, DOI 10.1016/j.cities.2018.02.008
   Hall P., 2009, Built Environment, V35, P59, DOI [10.2148/benv.35.1.59, DOI 10.2148/BENV.35.1.59]
   He D, 2019, TRANSPORT POLICY, V79, P193, DOI 10.1016/j.tranpol.2019.04.015
   Head K, 2000, WELTWIRTSCH ARCH, V136, P284, DOI 10.1007/BF02707689
   Hsieh CT, 2009, Q J ECON, V124, P1403, DOI 10.1162/qjec.2009.124.4.1403
   Huermann H., 1988, SOZIOLOGISCHE STADTF
   Jia RN, 2021, ENERG ECON, V99, DOI 10.1016/j.eneco.2021.105271
   Kabisch S, 2007, GESUNDHEITSWESEN, V69, P514, DOI 10.1055/s-2007-992161
   Khavarian-Garmsir A.R., 2019, SUSTAIN CITIES SOC, V47, P1
   Kim KS, 2000, CITIES, V17, P251, DOI 10.1016/S0264-2751(00)00021-4
   KRUGMAN P, 1991, J POLIT ECON, V99, P483, DOI 10.1086/261763
   Kühn M, 2015, RAUMFORSCH RAUMORDN, V73, P185, DOI 10.1007/s13147-015-0343-x
   Lavee D, 2011, TRANSPORT REV, V31, P769, DOI 10.1080/01441647.2011.596581
   Lee J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051513
   Li S, 2016, URBAN FOR URBAN GREE, V15, P123, DOI 10.1016/j.ufug.2015.12.007
   Li Y, 2020, TRANSPORT POLICY, V97, P220, DOI 10.1016/j.tranpol.2020.08.001
   Liu C., 2020, Econ. Res. J, V55, P140
   Liu Z, 2020, HABITAT INT, V104, DOI 10.1016/j.habitatint.2020.102256
   Long Y, 2016, ENVIRON PLANN A, V48, P220, DOI 10.1177/0308518X15621631
   Mallach A, 2017, CITIES, V69, P109, DOI 10.1016/j.cities.2017.01.008
   Martinez-Fernandez C, 2012, INT J URBAN REGIONAL, V36, P213, DOI 10.1111/j.1468-2427.2011.01092.x
   Monzón A, 2013, CITIES, V30, P18, DOI 10.1016/j.cities.2011.11.002
   Pallagst K., 2009, FUTURE SHRINKING CIT
   Qin Y, 2017, J ECON GEOGR, V17, P489, DOI 10.1093/jeg/lbw013
   Rieniets T, 2009, NAT CULT, V4, P231, DOI 10.3167/nc.2009.040302
   Roberts M, 2019, J URBAN DES, V24, P70, DOI 10.1080/13574809.2019.1553824
   Shao S, 2017, J TRANSP GEOGR, V64, P174, DOI 10.1016/j.jtrangeo.2017.08.019
   Sobieralski JB, 2021, RES TRANSP ECON, V88, DOI 10.1016/j.retrec.2020.100927
   Sun J, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.875914
   Taroszewska E, 2019, QUAEST GEOGR, V38, P75, DOI 10.2478/quageo-2019-0023
   Tateishi E, 2021, CITIES, V109, DOI 10.1016/j.cities.2020.103033
   Wang J, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102646
   Wang RL, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0258524
   Wang ZF, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000613
   Wiechmann T, 2012, INT J URBAN REGIONAL, V36, P261, DOI 10.1111/j.1468-2427.2011.01095.x
   Wilkie F., 2014, Performance, Transport and Mobility: Making Passage
   Yang ZS, 2020, HABITAT INT, V96, DOI 10.1016/j.habitatint.2019.102104
   Yuan K.H., 2017, Resour. Sci, V39, P1882, DOI 10.18402/resci.2017.10.08
   Zhang M.D., 2019, J ZHENGZHOU U ENG SC, V52, P47
   [张帅 Zhang Shuai], 2020, [中国人口·资源与环境, China Population Resources and Environment], V30, P72
   Zhang XL, 2008, FRONT ECON CHINA, V3, P585, DOI 10.1007/s11459-008-0029-1
   Zhang YY, 2021, TRANSPORT POLICY, V106, P1, DOI 10.1016/j.tranpol.2021.03.017
   Zhou K., 2021, INT J URBAN REGIONAL, V45, P1
   Zhou LL, 2019, LAND-BASEL, V8, DOI 10.3390/land8060087
NR 63
TC 14
Z9 15
U1 11
U2 83
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0967-070X
EI 1879-310X
J9 TRANSPORT POLICY
JI Transp. Policy
PD APR
PY 2023
VL 134
BP 180
EP 190
DI 10.1016/j.tranpol.2023.02.021
EA FEB 2023
PG 11
WC Economics; Transportation
WE Social Science Citation Index (SSCI)
SC Business & Economics; Transportation
GA 9V9MF
UT WOS:000948708000001
DA 2025-04-22
ER

PT J
AU McHale, MR
   Pickett, STA
   Barbosa, O
   Bunn, DN
   Cadenasso, ML
   Childers, DL
   Gartin, M
   Hess, GR
   Iwaniec, DM
   McPhearson, T
   Peterson, MN
   Poole, AK
   Rivers, L
   Shutters, ST
   Zhou, WQ
AF McHale, Melissa R.
   Pickett, Steward T. A.
   Barbosa, Olga
   Bunn, David N.
   Cadenasso, Mary L.
   Childers, Daniel L.
   Gartin, Meredith
   Hess, George R.
   Iwaniec, David M.
   McPhearson, Timon
   Peterson, M. Nils
   Poole, Alexandria K.
   Rivers, Louie, III
   Shutters, Shade T.
   Zhou, Weiqi
TI The New Global Urban Realm: Complex, Connected, Diffuse, and Diverse
   Social-Ecological Systems
SO SUSTAINABILITY
LA English
DT Article
DE urbanization; urban theory; science of cities; socio-ecological systems
ID RECONCEPTUALIZING LAND; SPATIAL HETEROGENEITY; LANDSCAPE ECOLOGY; HENDRA
   VIRUS; CITIES; WORLD; CLASSIFICATION; RESILIENCE; GOVERNANCE; HOUSEHOLDS
AB Urbanization continues to be a transformative process globally, affecting ecosystem integrity and the health and well being of people around the world. Although cities tend to be centers for both the production and consumption of goods and services that degrade natural environments, there is also evidence that urban ecosystems can play a positive role in sustainability efforts. Despite the fact that most of the urbanization is now occurring in the developing countries of the Global South, much of what we know about urban ecosystems has been developed from studying cities in the United States and across Europe. We propose a conceptual framework to broaden the development of urban ecological research and its application to sustainability. Our framework describes four key contemporary urban features that should be accounted for in any attempt to build a unified theory of cities that contributes to urban sustainability efforts. We evaluated a range of examples from cities around the world, highlighting how urban areas are complex, connected, diffuse and diverse and what these interconnected features mean for the study of urban ecosystems and sustainability.
C1 [McHale, Melissa R.; Hess, George R.; Peterson, M. Nils; Rivers, Louie, III] N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA.
   [Pickett, Steward T. A.] Cary Inst Ecosyst Studies, Millbrook, NY 12545 USA.
   [Barbosa, Olga] Univ Austral Chile, Inst Ciencias Ambientales & Evolut, Fac Ciencias, Valdivia, Chile.
   [Bunn, David N.] Univ Witwatersrand, Knowledge Hub Rural Dev, Wits Rural Facil, ZA-1360 Acornhoek, South Africa.
   [Cadenasso, Mary L.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Childers, Daniel L.] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [Gartin, Meredith; Iwaniec, David M.] Arizona State Univ, Julie Ann Wrigley Global Inst Sustainabil, Tempe, AZ 85287 USA.
   [McPhearson, Timon] New Sch Social Res, Tishman Environm & Design Ctr, New York, NY 10003 USA.
   [Poole, Alexandria K.] Elizabethtown Coll, Dept Polit Philosophy & Legal Studies, Elizabethtown, PA 17022 USA.
   [Shutters, Shade T.] Arizona State Univ, Global Secur Initiat, Tempe, AZ 85287 USA.
   [Zhou, Weiqi] Chinese Acad Sci, Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China.
C3 North Carolina State University; Cary Institute of Ecosystem Studies;
   Universidad Austral de Chile; University of Witwatersrand; University of
   California System; University of California Davis; Arizona State
   University; Arizona State University-Tempe; Arizona State University;
   Arizona State University-Tempe; The New School; Arizona State
   University; Arizona State University-Tempe; Chinese Academy of Sciences
RP McHale, MR (corresponding author), N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA.
EM mrmchale@ncsu.edu; picketts@caryinstitute.org; olga.barbosa@uach.cl;
   davidnbunn@gmail.com; mlcadenasso@ucdavis.edu; dan.childers@asu.edu;
   meredith.gartin@asu.edu; george_hess@ncsu.edu; david.iwaniec@asu.edu;
   timon.mcphearson@newschool.edu; nils_peterson@Ncsu.edu;
   poolea@etown.edu; lrivers@ncsu.edu; sshutte@asu.edu; wzhou@rcees.ac.cn
RI Poole, Alexandria/IAN-6461-2023; Zhou, Weiqi/G-2427-2010; McHale,
   Melissa/AIA-0220-2022; Gartin, Meredith/D-6323-2013; Shutters,
   Shade/B-9807-2013; Bunn, David/H-4932-2018; Barbosa, Olga/D-5437-2015;
   McPhearson, Timon/JOZ-3799-2023; Iwaniec, David/M-7993-2014
OI Barbosa, Olga/0000-0001-9397-0070; Poole,
   Alexandria/0000-0003-1338-7454; Pickett, Steward/0000-0002-1899-976X;
   McPhearson, Timon/0000-0002-9499-0791; Iwaniec,
   David/0000-0002-0410-4152; Gartin, Meredith/0000-0002-0062-4601; Rivers,
   Louie/0000-0001-7240-6710; Shutters, Shade T./0000-0002-8072-4134;
   Childers, Daniel/0000-0003-3904-0803; Cadenasso,
   Mary/0000-0002-6521-067X; Peterson, Nils/0000-0002-4246-1206
FU U.S. National Science Foundation (NSF) [1140070]; NSF through the CAP
   LTER Program [1026865]; NSF through the BES LTER Program [1027188]; NSF
   [BCS-0948229]; FONDECYT [11110183]; FONDAP [1510020]; CONICYT [PFB-23];
   Direct For Biological Sciences [0844778] Funding Source: National
   Science Foundation; Direct For Biological Sciences; Division Of
   Environmental Biology [1026865] Funding Source: National Science
   Foundation; Direct For Biological Sciences; Division Of Environmental
   Biology [1140077, 1140070, 1027188] Funding Source: National Science
   Foundation; Direct For Social, Behav & Economic Scie; Division Of
   Behavioral and Cognitive Sci [0948229] Funding Source: National Science
   Foundation; Division Of Environmental Biology [0844778] Funding Source:
   National Science Foundation
FX The authors of this paper are members of the Urban Sustainability
   Research Coordination Network that is supported by the U.S. National
   Science Foundation (NSF) through Grant No. 1140070. Additional support
   has been provided by the NSF to DLC and DMI through the CAP LTER Program
   (Grant No. 1026865) and to STAP through the BES LTER Program (Grant No.
   1027188). MRM, GRH and MNP were also supported by NSF BCS-0948229. OB
   was funded by FONDECYT#11110183, FONDAP #1510020 and CONICYT PFB-23.
CR Alvesson M., 2011, ACAD MANAGE REV, V36, P247, DOI 10.5465/amr.2009.0188
   Andersson C, 2014, FUTURES, V63, P145, DOI 10.1016/j.futures.2014.07.003
   Andersson JA, 2013, TRANSFRONTIER CONSERVATION AREAS: PEOPLE LIVING ON THE EDGE, P1
   Angel S, 2011, PROG PLANN, V75, P53, DOI 10.1016/j.progress.2011.04.001
   [Anonymous], 2012, STAT WORLDS CIT REP
   [Anonymous], 1964, LOCATION LAND USE GE, DOI DOI 10.4159/HARVARD.9780674730854
   [Anonymous], URBAN DESIGN 1945 GL
   [Anonymous], PARKS PEACE PARTNERS
   [Anonymous], ENV PLAN B IN PRESS
   [Anonymous], MEASURING SPATIAL ST
   [Anonymous], UN HAB STAT WORLDS C
   [Anonymous], WORLD GOODS ANTHROPO
   [Anonymous], LINKAGES SUSTAINABIL
   [Anonymous], 2011, RISE NETWORK SOC INF
   [Anonymous], URBAN WILDLIFE CONSE
   [Anonymous], MOBILITY MODERN W WO
   [Anonymous], WORLD CHANGING PHOTO
   [Anonymous], URBAN CRISIS CULTURE
   [Anonymous], ORDOS DSC 0045 LICEN
   [Anonymous], STATE WILD GLOBAL PO
   [Anonymous], 2000, POSTMETROPOLIS
   [Anonymous], INVADING RIOS ROCINH
   [Anonymous], URBAN ECOSYST UNPUB
   [Anonymous], THEORY OF ECOLOGY
   [Anonymous], 2002, SIEGE 4 AFRICAN CITI
   [Anonymous], 2003, Ecosystems and human well-being: A framework for assessment, P1
   [Anonymous], URBAN ECOSYST UNPUB
   [Anonymous], DESIGNING PATCH DYNA
   [Anonymous], 2007, NE MEG 2050 COMM FUT
   [Anonymous], URBAN THEORY URBAN E
   [Anonymous], GLOB EMPL TRENDS 201
   [Anonymous], MAN MIND LAND
   Appadurai A, 2001, ENVIRON URBAN, V13, P23, DOI 10.1177/095624780101300203
   Appadurai Arjun., 1996, PUBLIC WORLDS SERIES, V1
   Bai XM, 2010, CURR OPIN ENV SUST, V2, P129, DOI 10.1016/j.cosust.2010.05.008
   Barbosa O, 2015, ECOL ETHIC, V2, P297, DOI 10.1007/978-3-319-12133-8_19
   Beaverstock JV, 2000, ANN ASSOC AM GEOGR, V90, P123, DOI 10.1111/0004-5608.00188
   Berry BJL, 2001, URBAN GEOGR, V22, P699, DOI 10.2747/0272-3638.22.8.699
   Bettencourt L, 2010, NATURE, V467, P912, DOI 10.1038/467912a
   Bettencourt LMA, 2013, SCIENCE, V340, P1438, DOI 10.1126/science.1235823
   Boone CG, 2014, STRUNGMANN FORUM REP, P313
   Bormann F.H., 1979, Pattern and Process in a Forested Ecosystem, P253
   Brenner N, 1999, THEOR SOC, V28, P39, DOI 10.1023/A:1006996806674
   Buscher B., 2013, Transforming the Frontier, DOI 10.1215/9780822399087
   Cadenasso ML, 2007, FRONT ECOL ENVIRON, V5, P80, DOI 10.1890/1540-9295(2007)5[80:SHIUER]2.0.CO;2
   Childers DL, 2015, SUSTAINABILITY-BASEL, V7, P3774, DOI 10.3390/su7043774
   Childers DL, 2014, LANDSCAPE URBAN PLAN, V125, P320, DOI 10.1016/j.landurbplan.2014.01.022
   Choi JH, 2006, GLOBAL NETW, V6, P81, DOI 10.1111/j.1471-0374.2006.00134.x
   Collins SL, 2011, FRONT ECOL ENVIRON, V9, P351, DOI 10.1890/100068
   Collinson M.A., 2006, Africa on the Move: African Migration and Urbanisation in Comparative Perspective, P194, DOI DOI 10.1080/14034950701356401
   Comaroff J.L., 2009, ETHNICITY INC, DOI DOI 10.7208/CHICAGO/9780226114736.001.0001
   Cronon W., 1991, Nature's Metropolis: Chicago and the Great West
   Damm J, 2007, CRIT ASIAN STUD, V39, P273, DOI 10.1080/14672710701339485
   Davis Mike., 2006, PLANET SLUMS
   Dear M, 1998, ANN ASSOC AM GEOGR, V88, P50, DOI 10.1111/1467-8306.00084
   Derudder B, 2005, GLOBAL NETW, V5, P71, DOI 10.1111/j.1471-0374.2005.00108.x
   Dillon Michele., 2014, INTRO SOCIOLOGICAL T
   Drake D., 2014, Urban Wildlife Conservation, P389, DOI DOI 10.1007/978-1-4899-7500-317
   Dufour DL, 2004, AM J HUM BIOL, V16, P395, DOI 10.1002/ajhb.20043
   Fang SF, 2005, LANDSCAPE URBAN PLAN, V73, P294, DOI 10.1016/j.landurbplan.2004.08.006
   Forman R.T., 1986, LANDSCAPE ECOL, P1
   Forman R.T., 2008, Urban regions: ecology and planning beyond the city, DOI [DOI 10.1017/CBO9780511754982, 10.1017/CBO9780511754982]
   Foster JB, 1999, AM J SOCIOL, V105, P366, DOI 10.1086/210315
   Foucault Michel, 1971, The Order of Things, P387
   Gandy M., 2003, CONCRETE CLAY REWORK, P344
   Gandy M., 2004, CITY, V8, P363, DOI DOI 10.1080/1360481042000313509
   Gelfand MJ, 2011, SCIENCE, V332, P1100, DOI 10.1126/science.1197754
   Glaeser E. L., 2011, TRIUMPH CITY URBAN S
   Gottmann J., 1961, Megalopolis: The Urbanized Northeastern Seaboard of the United States
   Graham S, 1997, J URBAN TECHNOL, V4, P19, DOI 10.1080/10630739708724546
   Green N., 1990, SPECTACLE NATURE LAN
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   Grove J.M., 2014, J. Environ. Manag, V54, P401
   Gunderson L.H., 2002, PANARCHY UNDERSTANDI, P507
   Haase A, 2016, EUR URBAN REG STUD, V23, P86, DOI 10.1177/0969776413481985
   Hahs AK, 2009, ECOLOGY OF CITIES AND TOWNS: A COMPARATIVE APPROACH, P574, DOI 10.1017/CBO9780511609763.036
   Hall P, 2009, REG STUD, V43, P803, DOI 10.1080/00343400903039673
   Hanna R, 2011, BUS HORIZONS, V54, P265, DOI 10.1016/j.bushor.2011.01.007
   Hanski I, 1999, OIKOS, V87, P209, DOI 10.2307/3546736
   Harris CD, 1943, GEOGR REV, V33, P86, DOI 10.2307/210620
   Harrison John., 2014, MEGAREGIONS GLOBALIZ, DOI [10.4337/, DOI 10.4337/9781782547907.00007]
   Harvey David., 1996, JUSTICE NATURE GEOGR
   HARVEY David., 2000, Spaces of Hope, P1
   Irwin EG, 2009, LANDSCAPE ECOL, V24, P1223, DOI 10.1007/s10980-009-9353-9
   Jacobs Jane., 1961, DEATH LIFE GREAT AM, P1, DOI [10.1109/CONTROL.2014.6915207, DOI 10.1109/CONTROL.2014.6915207]
   Johnson E.A., 1979, Ecology, V60, P238, DOI DOI 10.2307/1936484
   Kaye JP, 2006, TRENDS ECOL EVOL, V21, P192, DOI 10.1016/j.tree.2005.12.006
   Kennedy C, 2011, ENVIRON POLLUT, V159, P1965, DOI 10.1016/j.envpol.2010.10.022
   Knox P., 2014, Atlas of Cities, P255
   Kotler P, 2011, J MARKETING, V75, P132, DOI 10.1509/jmkg.75.4.132
   Kremer P, 2013, LANDSCAPE URBAN PLAN, V120, P218, DOI 10.1016/j.landurbplan.2013.05.003
   Kupel DE, 2001, J URBAN HIST, V27, P520, DOI 10.1177/009614420102700409
   Laband DN, 2012, ACSESS PUBL, P1, DOI 10.2136/2012.urban-rural
   Larondelle N, 2014, APPL GEOGR, V53, P427, DOI 10.1016/j.apgeog.2014.07.004
   Lefebvre H., 1991, PRODUCTION SPACE, P454
   LEVINS R, 1969, Bulletin of the Entomological Society of America, V15, P237
   Light JenniferS., 2009, The Nature of Cities: Ecological Visions and the American Urban Professions, 1920-1960
   Liu J., 2003, Nature, V1359, P1
   Liu J., 2005, Population, Land Use, and Environment, P217
   Liu QH, 1996, VEGETATIO, V125, P63, DOI 10.1007/BF00045205
   LOMNITZ LA, 1988, AM ANTHROPOL, V90, P42, DOI 10.1525/aa.1988.90.1.02a00030
   Louf R, 2014, J R SOC INTERFACE, V11, DOI 10.1098/rsif.2014.0924
   Low SM, 1996, ANNU REV ANTHROPOL, V25, P383, DOI 10.1146/annurev.anthro.25.1.383
   Luck M, 2002, LANDSCAPE ECOL, V17, P327, DOI 10.1023/A:1020512723753
   Lwasa S, 2012, TOWN REG PLAN, V60, P38
   Lynch K., 1981, GOOD CITY FORM, P512
   Machlis GE, 1997, SOC NATUR RESOUR, V10, P347, DOI 10.1080/08941929709381034
   Marcotullio PJ., 2013, Urbanization and Sustainability: Linking Urban Ecology, Environmental Justice and Global Environmental Change, P11, DOI DOI 10.1007/978-94-007-5666-32
   Marshall S., 2005, STREETS AND PATTERNS, P312
   Marvin S., 1998, Telecommunications and the City: Electronic Spaces, Urban Places, V3, P195
   McDonnell MJ, 2009, ECOLOGY OF CITIES AND TOWNS: A COMPARATIVE APPROACH, P71, DOI 10.1017/CBO9780511609763.006
   McDonnell MJ, 2009, ECOLOGY OF CITIES AND TOWNS: A COMPARATIVE APPROACH, P1, DOI 10.1017/CBO9780511609763.002
   McGrath B., 2011, CHALLENGES, V2, P55, DOI [10.3390/challe2040055, DOI 10.3390/CHALLE2040055]
   McHale MR, 2013, FRONT ECOL ENVIRON, V11, P556, DOI 10.1890/120157
   McPhearson T, 2013, ECOSYST SERV, V5, pE11, DOI 10.1016/j.ecoser.2013.06.005
   Meiners S.J., 2015, An Integrative Approach to Successional Dynamics: Tempo and Mode of Community Change
   Melosi M.V., 2000, The Sanitary City: Urban Infrastructure in America from Colonial Times to the Present, P600
   Metaxas T., 2013, Region. Sect. Econ. Stud, V13, P15
   Miller T., 2012, CHINAS URBAN BILLION
   Muneepeerakul R, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0073676
   Myers G.A., 2011, AFRICAN CITIES
   Normile D, 2008, SCIENCE, V319, P740, DOI 10.1126/science.319.5864.740
   Padoch C, 2008, ECOL SOC, V13
   Peterson M.N., 2013, The housing bomb: Why our addiction to houses is destroying the environment and threatening our society
   Pickett STA, 2013, CITIES, V32, pS10, DOI 10.1016/j.cities.2013.02.008
   Pickett S.T.A., 2013, Resilience in Ecology and Urban Design: Linking Theory and Practice for Sustainable Cities, P499
   Pickett S.T. A., 1997, URBAN ECOSYST, V1, P183, DOI DOI 10.1023/A:1018579628818
   PICKETT STA, 1995, SCIENCE, V269, P331, DOI 10.1126/science.269.5222.331
   Pickett STA., 1985, The Ecology of Natural Disturbance and Patch Dynamics, P1
   Pickett STA, 2008, BIOSCIENCE, V58, P139, DOI 10.1641/B580208
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Pickett Stewart., 2013, RESILIENCE ECOLOGY U
   Pincetl S, 2010, LOCAL ENVIRON, V15, P43, DOI 10.1080/13549830903406065
   Plowright RK, 2008, P ROY SOC B-BIOL SCI, V275, P861, DOI 10.1098/rspb.2007.1260
   Plowright RK, 2011, P ROY SOC B-BIOL SCI, V278, P3703, DOI 10.1098/rspb.2011.0522
   Pope Albert., 1997, Ladders
   Qubbaj MR, 2015, B MATH BIOL, V77, P390, DOI 10.1007/s11538-014-9949-3
   Rademacher Anne., 2011, REIGNING RIVER URBAN
   Rees WE, 2000, ECOL ECON, V32, P371
   Robbins Paul., 2004, Political Ecology: A Critical Introduction, P242
   Samet RH, 2013, FUTURES, V47, P49, DOI 10.1016/j.futures.2013.01.006
   Sassen S., 2012, Cities in a World Economy, V4th, P399
   Satterthwaite D, 2011, PHILOS T R SOC A, V369, P1762, DOI 10.1098/rsta.2010.0350
   Schoon M, 2013, CONSERV SOC, V11, P420, DOI 10.4103/0972-4923.125758
   Seto K.C., 2014, Rethinking global land use in an urban era
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109
   Shane DavidGrahame., 2005, RECOMBINANT URBANISM
   Simone A., 2010, City Life from Jakarta to Dakar: Movements at the Crossroads
   Simone A.M., 2004, CITY YET COME
   Smith M.E., 2012, Urban. Glob. Environ. Change, V8, P15
   Smith N, 2002, ANTIPODE, V34, P427, DOI 10.1111/1467-8330.00249
   Smith N, 2001, URBAN AFF REV, V36, P497, DOI 10.1177/10780870122184975
   Soja E.W., 1989, POSTMODERN GEOGRAPHI, P266
   Spiegel A, 1996, SOC DYNAMICS, V22, P7
   Spirn A.W., 1984, The Granite Garden: Urban Nature and Human Design, P1
   Storper M, 2006, URBAN STUD, V43, P1247, DOI 10.1080/00420980600775642
   Strano E, 2012, SCI REP-UK, V2, DOI 10.1038/srep00296
   Svendsen E., 2013, Resilience in Ecology and Urban Design: Linking Theory and Practice for Sustainable Cities, Future City 3, DOI [DOI 10.1007/978-94-007-5341-9, 10.1007/978-94-007- 5341-9_13, DOI 10.1007/978-94-007-5341-9_13]
   Terkenli TS, 2005, LANDSCAPE URBAN PLAN, V70, P165, DOI 10.1016/j.landurbplan.2003.10.012
   Thierstein Alain., 2008, IMAGE REGION MAKING
   TURNER MG, 1989, ANNU REV ECOL SYST, V20, P171, DOI 10.1146/annurev.es.20.110189.001131
   Walker PA, 2005, PROG HUM GEOG, V29, P73, DOI 10.1191/0309132505ph530pr
   Williams R., 1975, COUNTRY CITY, V423
   Wirth L, 1945, AM J SOCIOL, V50, P483, DOI 10.1086/219688
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P222, DOI 10.1016/j.landurbplan.2014.02.010
   Xingqing Ye., 2009, Journal of Current Chinese Affairs, V38, P117, DOI [10.1177/186810260903800406, DOI 10.1177/186810260903800406]
   Zellmer AJ, 2006, ECOL COMPLEX, V3, P171, DOI 10.1016/j.ecocom.2006.06.002
NR 168
TC 65
Z9 79
U1 3
U2 101
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2015
VL 7
IS 5
BP 5211
EP 5240
DI 10.3390/su7055211
PG 30
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA CL4PU
UT WOS:000356936200021
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Mycoo, M
   Robinson, SA
   Nguyen, C
   Nisbet, C
   Tonkel, R 
AF Mycoo, Michelle
   Robinson, Stacy-Ann
   Nguyen, Cindy
   Nisbet, Catherine
   Tonkel, Rock, III
TI Human Adaptation to Coastal Hazards in Greater Bridgetown, Barbados
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE Caribbean; city; human adaptation; global climate change; inundation;
   resilience
ID CLIMATE-CHANGE ADAPTATION; TOURISM
AB As urban risks associated with a changing climate continue to intensify, it is increasingly important to broaden our understanding of climate vulnerabilities in coastal cities and human adaptation to climate-related hazards. Coastal cities in small island developing states in the Caribbean stand to be among the most climate-impacted. This paper explores vulnerability to coastal hazards (sea-level rise, storm surges and flooding) in Barbados' capital city and its urban corridor-Greater Bridgetown. Specifically, it is a qualitative survey of climate change vulnerabilities and human adaptation in the study domain that is underpinned by three research questions: 1) In what ways is Greater Bridgetown vulnerable to coastal hazards? 2) What are the human dimensions of this vulnerability? and 3) What are the associated human adaptations? We apply a four-component adaptive urban governance framework to explore the role of the city's historical development, urban morphology, national-level institutions and relevant government and other stakeholder initiatives in shaping, reducing and/or increasing vulnerability to coastal hazards. The paper relates primarily to the governance dimension of the risk reduction framework articulated by the Intergovernmental Panel on Climate Change. In totality, a case is presented that highlights Greater Bridgetown's capacity for coastal/urban resilience, but which cannot be maximized without institutional prioritization of vulnerability, increased stakeholder "buy-in" and participation, along with significant investment in adaptation and the protection of valuable coastal infrastructure. The findings are of relevance to human adaptation within coastal cities of small island developing states.
C1 [Mycoo, Michelle] Univ West Indies, Dept Geomat Engn & Land Management, St Augustine, Trinidad Tobago.
   [Robinson, Stacy-Ann; Nguyen, Cindy; Nisbet, Catherine; Tonkel, Rock, III] Colby Coll, Environm Studies Program, Waterville, ME 04901 USA.
C3 University West Indies Mona Jamaica; University West Indies Saint
   Augustine; Colby College
RP Mycoo, M (corresponding author), Univ West Indies, Dept Geomat Engn & Land Management, St Augustine, Trinidad Tobago.
EM michelle.mycoo@sta.uwi.edu
RI Robinson, Stacy-ann/R-2769-2019
OI Robinson, Stacy-ann/0000-0003-3163-8771
CR Aguirre I., 2019, DEV DRAFT UPDATED IN
   [Anonymous], 2008, CYBER ANALYSIS AND WARNING: DHS FACES CHALLENGES IN ESTABLISHING A COMPREHENSIVE NATIONAL CAPABILITY, P1
   [Anonymous], 2006, ENV PLANNING CARIBBE
   [Anonymous], 2011, ASS EC IMP CLIM CHAN
   Barbados World Heritage Committee, 2011, MAN PLAN HIST BRIDG, P1
   Becken S., 2008, TOURISM CLIMATE CHAN
   Belle N., 2005, Journal of Travel Research, V44, P32, DOI 10.1177/0047287505276589
   Birkmann J, 2010, SUSTAIN SCI, V5, P185, DOI 10.1007/s11625-010-0111-3
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Caribbean Youth Environment Network in Barbados, FAC ORG PAG
   Cashman A., 2017, SCI REV, V2017, P155
   Cashman A, 2012, TOUR REV, V67, P17, DOI 10.1108/16605371211259803
   Cashman A, 2010, J ENVIRON DEV, V19, P42, DOI 10.1177/1070496509347088
   Coastal Zone Management Unit, 1999, INT COAST MAN PLAN W
   Coastal Zone Management Unit, 2020, HIST CZMU
   Coastal Zone Management Unit, CARL BAY MAR PARK
   Columbia University, 2011, COMP LOW EL COAST ZO
   Downes A., 2015, BARB NAT REP 3 UN C, P1
   Dulal H. B., 2009, Sustainability, V1, P363
   ECLAC, 2019, PREL OV ECONOMIES LA
   [Field C.B. IPCC. IPCC.], 2014, CLIMATE CHANGE 2014, P1757, DOI DOI 10.1017/CBO9781107415386.011
   Forbes DL, 2013, SUSTAIN SCI, V8, P327, DOI 10.1007/s11625-013-0218-4
   Gill D., 2019, MARE PUBLICATION SER
   Gill D., 2007, 11 CERMES, P69
   Government of Barbados, 2017, PHYS DEV PLAN 2017
   Government of Barbados, 2018, BARB 2 NAT COMM UN F
   Government of Canada, 2011, HLTH REPORT, P1
   Hatfield-Dodds S., 2007, AUSTR AGR RES EC SOC
   Hay J, 2019, The Oxford Handbook of Planning for Climate Change Hazards
   Hinkson D., 2019, BARBADOS TODAY
   Hsieh H.-F., 2005, Qual Health Res, V15, P1277, DOI [10.1177/1049732305276687, DOI 10.1177/1049732305276687]
   Inniss T., 2012, Heritage and Communities in a Small Island Developing State: Historic Bridgetown and its Garrison, Barbadis>>, World Heritage: Benefits Beyond Borders, P76
   Inter-American Development Bank, EM SUST CIT PROGR
   Jaja J, 2017, LOCAL ENVIRON, V22, P424, DOI 10.1080/13549839.2016.1213711
   Joy S., 2018, NEXT TOWN PLANNING C
   Leslie J., 2010, 29 CERMES
   Lorde T., 2011, The International Trade Journal, P205, DOI [10.1080/08853908.2011.554788, DOI 10.1080/08853908.2011.554788]
   McConney P., 2012, P 65 GULF CAR FISH I
   McHardy P., 2016, The state of social housing in six Caribbean countries
   Monioudi IN, 2018, REG ENVIRON CHANGE, V18, P2211, DOI 10.1007/s10113-018-1360-4
   Monnereau I, 2017, Sci. Rev., P124
   MPAtlas, CARL BAY
   Mumby P., 2014, REEF RESILIENCE SUST
   Mycoo M., 2006, Journal of Sustainable Tourism, V14, P489, DOI 10.2167/jost600.0
   Mycoo M., 2017, A blue urban agenda: Adapting to climate change in the coastal cities of Caribbean and Pacific Small Island Developing States
   Mycoo M, 2014, NAT RESOUR FORUM, V38, P47, DOI 10.1111/1477-8947.12033
   Mycoo M, 2012, P I CIVIL ENG-MAR EN, V165, P159, DOI 10.1680/maen.2011.19
   Mycoo MA, 2018, REG ENVIRON CHANGE, V18, P2341, DOI 10.1007/s10113-017-1248-8
   Mycoo MA, 2017, HABITAT INT, V69, P68, DOI 10.1016/j.habitatint.2017.09.001
   Nguyen C., 2019, Caribb. Geogr., V24, P1
   Nunn P, 2018, INT J CLIM CHANG STR, V10, P245, DOI 10.1108/IJCCSM-01-2017-0012
   Nurse L.A., 2015, INT SCI C OUR COMM F
   Nurse L.A., 2017, UNCTAD NAT WORKSH CL
   Nurse L.A., 2011, CLIMATE CHANGE IMPAC
   Patterson JJ, 2019, J ENVIRON PLANN MAN, V62, P374, DOI 10.1080/09640568.2018.1510767
   Pelling M., 2003, VULNERABILITY CITIES
   POTTER RB, 1989, GEOGR J, V155, P81, DOI 10.2307/635384
   Pugh J, 2013, ANN ASSOC AM GEOGR, V103, P1266, DOI 10.1080/00045608.2012.706571
   Richardson-Ngwenya P., 2017, TOURISM AGR NEW GEOG
   Robinson SA, 2020, ENVIRON SUSTAIN IND, V8, DOI 10.1016/j.indic.2020.100065
   Robinson SA, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.653
   Robinson SA, 2018, ENVIRON SCI POLICY, V85, P172, DOI 10.1016/j.envsci.2018.03.030
   Robinson SA, 2017, MITIG ADAPT STRAT GL, V22, P669, DOI 10.1007/s11027-015-9693-5
   Schueler K., 2016, NATURE BASED SOLUTIO
   Scott D, 2012, J SUSTAIN TOUR, V20, P883, DOI 10.1080/09669582.2012.699063
   Seijas A., 2015, CIUDADES SOSTNIBLES
   SGP The GEF Small Grants Programme, CONS MARN ENV S COAS
   Smith F, 2009, INT J HIST ARCHAEOL, V13, P63, DOI 10.1007/s10761-008-0072-8
   Talia M, 2021, INT J PUBLIC THEOL, V15, P595, DOI 10.1163/15697320-01
   Thompson R., 2013, NATION NEWS
   Town and Country Development Planning Office, 2017, BRIDG COMM PLAN BRID, P1
   Town and Country Development Planning Office, 2017, HIST PDP
   Welch PedroL. V., 2004, Slave Society in the City: Bridgetown, Barbados 1680-1834
NR 73
TC 7
Z9 9
U1 1
U2 17
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-665X
J9 FRONT ENV SCI-SWITZ
JI Front. Environ. Sci.
PD MAY 31
PY 2021
VL 9
AR 647788
DI 10.3389/fenvs.2021.647788
PG 18
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SR6NZ
UT WOS:000661161000001
OA gold
DA 2025-04-22
ER

PT J
AU Liu, Y
   Chu, CL
   Zhang, RJ
   Chen, SQ
   Xu, C
   Zhao, DL
   Meng, CC
   Ju, MT
   Cao, Z
AF Liu, Ying
   Chu, Chunli
   Zhang, Ruijun
   Chen, Shaoqing
   Xu, Chao
   Zhao, Dongliang
   Meng, Chunchun
   Ju, Meiting
   Cao, Zhi
TI Impacts of high-albedo urban surfaces on outdoor thermal environment
   across morphological contexts: A case of Tianjin, China
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Outdoor thermal environment; Urban surface albedo; Urban morphology
ID HEAT-ISLAND; COOL PAVEMENTS; CLIMATE; TEMPERATURES; URBANIZATION;
   STRATEGIES; RADIATION; ROOF; CITY
AB The urban heat island (UHI) effect can exacerbate various environmental challenges related to high temperatures in urban areas. Increasing urban surface albedo is an effective strategy to mitigate UHI. However, the efficacy of high-albedo urban surfaces across varying urban contexts remains poorly understood. In this study, we leverage Urban Weather Generator to systematically simulate the effects of high-albedo roads, walls, and roofs on urban microclimate across Tianjin. Our simulation covers a typical meteorological year, representing typical weather conditions from January to December. Our results reveal that increasing road albedo is more effective in mitigating UHI in fringe areas, whereas increasing wall and roof albedo is more effective in mitigating UHI in central areas. Local climate zones with an urban aspect ratio of about 0.5 can obtain a maximum reduction of road surface temperature (-6 degrees C) and wall surface temperature (-3 degrees C). The temperature changes induced by albedo changes show evident seasonal characteristics: the road temperature decreases significantly in summer, while the wall temperature decreases significantly in spring and autumn. Our results could help guide UHI mitigation policies and urban planning in cities hoping to enhance urban surface albedo to balance urban growth and climate resilience.
C1 [Liu, Ying; Chu, Chunli; Ju, Meiting; Cao, Zhi] Nankai Univ, Coll Environm Sci & Engn, 38 Tongyan Rd, Tianjin 300350, Peoples R China.
   [Zhang, Ruijun] Southeast Univ, Sch Architecture, 2 Sipailou, Nanjing 210096, Peoples R China.
   [Chen, Shaoqing] Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangzhou 510275, Peoples R China.
   [Chen, Shaoqing] Sun Yat Sen Univ, Guangdong Prov Key Lab Environm Pollut Control & R, Guangzhou 510275, Peoples R China.
   [Xu, Chao] Guangdong Univ Technol, Sch Architecture & Urban Planning, Guangzhou 510090, Peoples R China.
   [Zhao, Dongliang] Southeast Univ, Sch Energy & Environm, Nanjing 210096, Peoples R China.
   [Meng, Chunchun] Inst Urban Meteorol, Beijing 100089, Peoples R China.
C3 Nankai University; Southeast University - China; Sun Yat Sen University;
   Sun Yat Sen University; Guangdong University of Technology; Southeast
   University - China; China Meteorological Administration; Institute of
   Urban Meteorology, China Meteorological Administration
RP Chu, CL; Cao, Z (corresponding author), Nankai Univ, Coll Environm Sci & Engn, 38 Tongyan Rd, Tianjin 300350, Peoples R China.
EM chucl@nankai.edu.cn; zhicao@nankai.edu.cn
RI 陈, 少卿/D-9906-2019; Zhao, Dongliang/H-3828-2015; ZHANG,
   Ruijun/GXM-4193-2022; chu, chunli/AAC-9383-2020; Xu, Chao/GNP-5974-2022
FU Fundamental Research Funds for the Central Universities [040-63233060];
   Innovation-driven Development Programme of Guangxi; Special Research
   Fund (BOF) of the University of Antwerp
FX This work was financially supported by the Fundamental Research Funds
   for the Central Universities (040-63233060) , the Innovation-driven
   Development Programme of Guangxi (NO.GKAA20161004) , and the Special
   Research Fund (BOF) of the University of Antwerp.
CR Akbari H, 2012, ENERG BUILDINGS, V55, P2, DOI 10.1016/j.enbuild.2012.02.055
   Aleksejeva J, 2022, URBAN FOR URBAN GREE, V74, DOI 10.1016/j.ufug.2022.127632
   American Society of Heating Refrigerating and Air-Conditioning Engineers, 2006, ANSI/ASHRAE 169-2006 weather data for building design standards
   Anand J, 2022, SOL ENERGY, V242, P413, DOI 10.1016/j.solener.2021.10.056
   Back Y, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.143732
   Bande L, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11164378
   Battista G, 2017, ENRGY PROCED, V113, P98, DOI 10.1016/j.egypro.2017.04.027
   Bueno B, 2014, URBAN CLIM, V9, P35, DOI 10.1016/j.uclim.2014.05.005
   Bueno B, 2013, J BUILD PERFORM SIMU, V6, P269, DOI 10.1080/19401493.2012.718797
   Cai M, 2018, URBAN CLIM, V24, P485, DOI 10.1016/j.uclim.2017.05.010
   Carlosena L, 2023, BUILD ENVIRON, V243, DOI 10.1016/j.buildenv.2023.110694
   Chapman S, 2017, LANDSCAPE ECOL, V32, P1921, DOI 10.1007/s10980-017-0561-4
   Chen JQ, 2017, APPL THERM ENG, V113, P739, DOI 10.1016/j.applthermaleng.2016.11.080
   Ching JKS, 2013, URBAN CLIM, V3, P13, DOI 10.1016/j.uclim.2013.02.001
   Dumais S, 2016, COLD REG SCI TECHNOL, V123, P44, DOI 10.1016/j.coldregions.2015.11.013
   Equere V, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102021
   Ferrari A, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100534
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Gao YF, 2014, ENERG POLICY, V74, P190, DOI 10.1016/j.enpol.2014.05.036
   Hall A, 2004, J CLIMATE, V17, P1550, DOI 10.1175/1520-0442(2004)017<1550:TROSAF>2.0.CO;2
   Hardin AW, 2018, INT J BIOMETEOROL, V62, P43, DOI 10.1007/s00484-017-1357-6
   Hayes AT, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070925
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Honjo T., 2009, GLOBAL ENV RES, V13, P43, DOI DOI 10.6090/JARQ.50.101
   Huang HC, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.955077
   [黄焕春 Huang Huanchun], 2019, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V33, P126
   Jandaghian Z, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109627
   Kotopouleas A, 2021, SOL ENERGY, V230, P449, DOI 10.1016/j.solener.2021.09.074
   Le Bras J, 2015, FRONT EARTH SC-SWITZ, V3, DOI 10.3389/feart.2015.00027
   Levinson R, 2010, SOL ENERG MAT SOL C, V94, P946, DOI 10.1016/j.solmat.2009.12.012
   Li H, 2016, TRANSPORT RES REC, P92, DOI 10.3141/2575-10
   Liu B, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151410787
   Liu YH, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102767
   Matzarakis A, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12050546
   Meng F., 2020, Journal of Ecology and Environmental Sciences, V9, P1822, DOI [10.16258/j.cnki.1674-5906.2020.09.014, DOI 10.16258/J.CNKI.1674-5906.2020.09.014]
   Middel A, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab87d4
   Mohajer HRH, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070903
   Mohegh A, 2017, J GEOPHYS RES-ATMOS, V122, P6798, DOI 10.1002/2017JD026845
   Morini E, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8100999
   Nakano A., 2015, Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association, P1901
   Nazarian N, 2019, ENERG BUILDINGS, V187, P144, DOI 10.1016/j.enbuild.2019.01.022
   Piracha A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159234
   Reed K., 2022, PREPRINT, DOI [10.1007/s00382-022-06296-z, DOI 10.1007/S00382-022-06296-Z]
   Algeciras JAR, 2016, INT J BIOMETEOROL, V60, P1261, DOI 10.1007/s00484-015-1121-8
   Algeciras JAR, 2016, BUILD ENVIRON, V101, P85, DOI 10.1016/j.buildenv.2016.02.026
   Rodríguez-Algeciras J, 2018, RENEW ENERG, V125, P840, DOI 10.1016/j.renene.2018.01.082
   Roman KK, 2016, ENERGY, V96, P103, DOI 10.1016/j.energy.2015.11.082
   Rosado P. J., 2016, Evaluating cool impervious surfaces: Application to an energy-efficient residential roof and to city pavements
   Salvati A, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108459
   Salvati A, 2019, ENERG BUILDINGS, V185, P162, DOI 10.1016/j.enbuild.2018.12.024
   Schneider FA, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36972-5
   Sedlácek J, 2022, INT J ENVIRON SUSTAI, V21, P388, DOI 10.1504/IJESD.2022.126078
   Shishegar Nastaran, 2013, Journal of Clean Energy Technologies, V1, P52, DOI 10.7763/JOCET.2013.V1.13
   Shooshtarian S, 2020, BUILD ENVIRON, V177, DOI 10.1016/j.buildenv.2020.106917
   Speroni A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105781
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart ID, 2013, ARCHIT DESIGN, V83, P100, DOI 10.1002/ad.1625
   Street M., 2013, P BS 2013 13 C INT B
   Tabatabaei SS, 2023, BUILD ENVIRON, V243, DOI 10.1016/j.buildenv.2023.110701
   Takebayashi H, 2016, ENERG BUILDINGS, V114, P173, DOI 10.1016/j.enbuild.2015.06.019
   Taleghani M, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102547
   Taleghani M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/024003
   Tianjin municipal people's government, 2021, Ecological green screen cools down the urban 'heat island'
   United Nations Department of Economic and Social Affairs Population Division, 2019, World urbanization prospects: the 2018 revision
   Wang J, 2021, ENERG BUILDINGS, V247, DOI 10.1016/j.enbuild.2021.111137
   Wu CY, 2019, SCI TOTAL ENVIRON, V694, DOI 10.1016/j.scitotenv.2019.133742
   Xu GY, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101247
   Yang JC, 2016, BUILD ENVIRON, V108, P110, DOI 10.1016/j.buildenv.2016.08.021
   Yang J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21305-1
   Zhang JC, 2018, ENVIRON SCI TECHNOL, V52, P11188, DOI 10.1021/acs.est.8b00732
   Zhang L, 2019, J CLEAN PROD, V228, P770, DOI 10.1016/j.jclepro.2019.04.338
   Zheng ZF, 2020, ATMOS SCI LETT, V21, DOI 10.1002/asl.1001
   Zhou XF, 2018, SCI TOTAL ENVIRON, V635, P1467, DOI 10.1016/j.scitotenv.2018.04.091
   Zhu ZZ, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125599
NR 74
TC 16
Z9 17
U1 23
U2 73
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD JAN
PY 2024
VL 100
AR 105038
DI 10.1016/j.scs.2023.105038
EA NOV 2023
PG 15
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA CC1P9
UT WOS:001122963800001
DA 2025-04-22
ER

PT J
AU Uenaga, T
   Omidian, P
   George, RC
   Mirzajani, M
   Khaji, N
AF Uenaga, Tomoya
   Omidian, Pedram
   George, Riya Catherine
   Mirzajani, Mohsen
   Khaji, Naser
TI Seismic Resilience Assessment of Curved Reinforced Concrete Bridge Piers
   through Seismic Fragility Curves Considering Short- and Long-Period
   Earthquakes
SO SUSTAINABILITY
LA English
DT Article
DE seismic vulnerability; resilience; fragility curves; long-period ground
   motion; pier height irregularity; curved reinforced concrete bridges
ID DAMAGE DETECTION; GROUND MOTIONS; NEAR-FAULT; MODEL
AB Curved bridges are commonly used for logistics and emergencies in urban areas such as highway interchange bridges. These types of bridges have complicated dynamic behaviors and also are vulnerable to earthquakes, so their functionality is a critical parameter for decision makers. For this purpose, this study aims to evaluate the bridge seismic resilience under the effects of changes in deck radius (50, 100, 150 m, and infinity), pier height irregularity (Regular and Irregular), and incident seismic wave angle (0 degrees, 45 degrees, and 90 degrees) under short-and long-period records. In the first step, fragility curves are calculated based on the incremental dynamic analysis and probabilistic seismic demand models. Finally, seismic resilience curves/surfaces are constructed and their interpolated values of the log-normal distribution function presented for assessing system resilience. It is found that when long-period records are applied in one given direction, the angle of incidence has the most significant effect on seismic resilience, and bridges are most vulnerable when the angle of incidence tends to 0 degrees. The effect of deck radius on seismic resilience became more remarkable as the angle of incidence increased. Additionally, results indicate that the bridge vulnerability in long-period records is more significant than that under short-period records.
C1 [Uenaga, Tomoya; George, Riya Catherine] Hiroshima Univ, Grad Sch Adv Sci & Engn, Civil & Environm Engn Program, Hiroshima 7398527, Japan.
   [Omidian, Pedram; Khaji, Naser] Tarbiat Modares Univ, Fac Civil & Environm Engn, POB 14115-397, Tehran, Iran.
   [Mirzajani, Mohsen] Univ Tabriz, Marand Tech Fac, Dept Civil Engn, POB 54138-89741, Tabriz, Iran.
C3 Hiroshima University; Tarbiat Modares University; University of Tabriz
RP Khaji, N (corresponding author), Tarbiat Modares Univ, Fac Civil & Environm Engn, POB 14115-397, Tehran, Iran.
EM torso0919@gmail.com; p.omidian@modares.ac.ir; riya@hiroshima-u.ac.jp;
   m.mirzajani@tabrizu.ac.ir; nkhaji@hiroshima-u.ac.jp
RI Omidian, Pedram/JXN-2906-2024; George, Riya Catherine/A-9216-2019;
   Khaji, Naser/Q-6818-2018
OI George, Riya Catherine/0000-0002-9412-6792; Khaji,
   Naser/0000-0002-5701-7706; Omidian, Pedram/0000-0002-5047-6133
CR Abbasi M, 2016, J PERFORM CONSTR FAC, V30, DOI 10.1061/(ASCE)CF.1943-5509.0000753
   Ahmadi HR, 2015, STRUCT CONTROL HLTH, V22, P91, DOI 10.1002/stc.1662
   American Association of State Highway and Transportation Officials (AASHTO), 2011, A Policy on Geometric Design of Highways and Streets (Green Book)
   AmiriHormozaki E, 2015, EARTHQ SPECTRA, V31, P2235, DOI 10.1193/022213EQS049M
   An WJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021435
   Bianchi F., 2011, PAPER NO 294
   Billah AHMM, 2015, STRUCT INFRASTRUCT E, V11, P804, DOI 10.1080/15732479.2014.912243
   Billah AHMM, 2013, J BRIDGE ENG, V18, P992, DOI 10.1061/(ASCE)BE.1943-5592.0000452
   Choi ES, 2004, ENG STRUCT, V26, P187, DOI 10.1016/j.engstruct.2003.09.006
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Dezfuli FH, 2017, STRUCT CONTROL HLTH, V24, DOI 10.1002/stc.1866
   Filippou FC, 1983, Report No. EERC 83-19
   Fragiadakis M., 2008, Modelling inelastic buckling of reinforcing bars under earthquake loading, in progress in computational dynamics and earthquake engineering
   Fu ZQ, 2019, J EARTHQ TSUNAMI, V13, DOI 10.1142/S1793431119400013
   Gong CJ, 2023, POWDER TECHNOL, V418, DOI 10.1016/j.powtec.2023.118295
   Guo W, 2018, J EARTHQ TSUNAMI, V12, DOI 10.1142/S179343111850015X
   Gupta T, 2022, STRUCTURES, V36, P864, DOI 10.1016/j.istruc.2021.12.068
   HAZUSMH MR5, 2014, MULTIHAZARD LOSS EST
   Huff T, 2016, PRACT PERIOD STRUCT, V21, DOI 10.1061/(ASCE)SC.1943-5576.0000277
   KANAMORI H, 1979, B SEISMOL SOC AM, V69, P1645
   Kia M, 2021, J EARTHQ TSUNAMI, V15, DOI 10.1142/S1793431121500111
   Koketsu K, 2008, J SEISMOL, V12, P133, DOI 10.1007/s10950-007-9080-0
   Liu J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032347
   Liu L, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159263
   Liu XX, 2018, J EARTHQ TSUNAMI, V12, DOI 10.1142/S179343111850001X
   Ma HB, 2019, FRONT STRUCT CIV ENG, V13, P1510, DOI 10.1007/s11709-019-0577-8
   MADAS P, 1992, EARTHQUAKE ENG STRUC, V21, P409, DOI 10.1002/eqe.4290210503
   Mahmood K, 2022, SOIL DYN EARTHQ ENG, V162, DOI 10.1016/j.soildyn.2022.107451
   Mahmood K, 2016, J APPL GEOPHYS, V130, P110, DOI 10.1016/j.jappgeo.2016.04.015
   MANDER JB, 1988, J STRUCT ENG-ASCE, V114, P1804, DOI 10.1061/(ASCE)0733-9445(1988)114:8(1804)
   Mao JZ, 2020, J EARTHQ TSUNAMI, V14, DOI 10.1142/S1793431120500013
   Martínez-Rueda JE, 1997, MATER STRUCT, V30, P139, DOI 10.1007/BF02486385
   Mehrjoo M, 2008, EXPERT SYST APPL, V35, P1122, DOI 10.1016/j.eswa.2007.08.008
   Menegotto M., 1973, S RESISTANCE ULTIMAT, P15
   Monti G., 1996, Report No. 96-2
   Naghshineh A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142416344
   Okazawa S, 2016, J EARTHQ TSUNAMI, V10, DOI 10.1142/S1793431116400133
   Omidian P, 2022, J BUILD ENG, V52, DOI 10.1016/j.jobe.2022.104361
   Padgett JE, 2008, EARTHQ ENG STRUCT D, V37, P1157, DOI 10.1002/eqe.801
   PEER, 2023, PAC EARTHQ ENG RES C
   Peng TB, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15064883
   Raheem SEA, 2014, ARAB J SCI ENG, V39, P8669, DOI 10.1007/s13369-014-1441-8
   Román AFG, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610277
   SeismoStruct, 2023, SEISMOSOFT COMP PROG
   Shekari MR, 2010, SOIL DYN EARTHQ ENG, V30, P968, DOI 10.1016/j.soildyn.2010.04.008
   Shome N., 1999, Probabilistic Seismic Demand Analysis of Non-Linear Structures
   Soleimani F, 2022, INFRASTRUCTURES-BASE, V7, DOI 10.3390/infrastructures7050064
   Tamaddon S, 2020, STRUCTURES, V28, P1019, DOI 10.1016/j.istruc.2020.09.019
   Tehrani F.M., 2019, P 5 INT C BRIDGES
   Tehrani FM, 2022, OBJECTIVE RESILIENCE
   Todorov B, 2021, STRUCTURES, V31, P671, DOI 10.1016/j.istruc.2021.02.019
   Tomi K., 2007, ANN PROC CONCR ENG, V29, P817
   Tondini N, 2012, B EARTHQ ENG, V10, P1455, DOI 10.1007/s10518-012-9362-y
   Vamvatsikos D, 2002, EARTHQUAKE ENG STRUC, V31, P491, DOI 10.1002/eqe.141
   Yamamoto H., 2007, ANN PROC CONCR ENG, V29, P829
   Yassin M., 1994, Ph.D. Thesis
   Yi J, 2018, J EARTHQ TSUNAMI, V12, DOI 10.1142/S1793431118500112
   Zhao YH, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147814
   Zhou Y, 2018, SOIL DYN EARTHQ ENG, V113, P462, DOI 10.1016/j.soildyn.2018.06.018
NR 59
TC 9
Z9 9
U1 4
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY 9
PY 2023
VL 15
IS 10
AR 7764
DI 10.3390/su15107764
PG 29
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA H7SN9
UT WOS:000997918200001
OA gold
DA 2025-04-22
ER

PT J
AU Marsal-Llacuna, ML
   Segal, ME
AF Marsal-Llacuna, Maria-Lluisa
   Segal, Mark Evan
TI The Intelligenter Method (I) for making "smarter" city projects and
   plans
SO CITIES
LA English
DT Article
DE Smart sustainability; Urban intelligence; Higher education teaching
   method; Master's program in smart cities
ID LAND-USE; CITIES; SURVEILLANCE; QUALITY
AB In this paper the authors reveal the first-of-its-kind method for the design of truly smart city projects and the elaboration of smarter urban planning. The Intelligenter Method is based on the innovative idea of collaborations discovery in urban systems. The Intelligenter Method shows that what makes an urban project or a plan smart is not its sophisticated architecture or complex master planning in a technological environment, but rather qualitative and quantitative collaborations that the urban subsystem being planned or projected can establish with related subsystems, to safeguard sustainability while promoting urban development and improving resilience. The authors of this research are now sharing with the research community the Method they developed to teach intelligenter smart urban planning and projecting. This Method is also applicable to intelligenter urban policy making and regulation drafting. This second part of the methodology is published in a separate paper in this Cities issue with the title "The Intelligenter Method (II) for 'smarter' urban policy-making and regulation drafting". (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Marsal-Llacuna, Maria-Lluisa; Segal, Mark Evan] 28 Major St, Barcelona 08712, Spain.
RP Marsal-Llacuna, ML (corresponding author), 28 Major St, Barcelona 08712, Spain.
EM Ilmarsal@intelligenter.org; msegal@intelligenter.org
OI Marsal-Llacuna, Maria-Lluisa/0000-0001-8855-3328
CR Alderson J, 2013, ELECTRON WORLD, V119, P50
   Angelidou M, 2015, CITIES, V47, P95, DOI 10.1016/j.cities.2015.05.004
   [Anonymous], 2013, INT J SUST HIGHER ED, V14, P105
   [Anonymous], 2014, STAND BRIEF NOT OUTL
   BALDUCCI A, 2012, DISP THE PLANNING RE, V48, P4
   Bassols i Coma M., 2002, CIUDAD TERRITORIO, V34, P85
   Batty M, 2012, EUR PHYS J-SPEC TOP, V214, P481, DOI 10.1140/epjst/e2012-01703-3
   BATTY M, 1990, ENVIRON PLANN B, V17, P247
   BETANCOR RODRGUEZ Andrs, 2001, CIUDAD TERRITORIO ES, V33, P87
   Campbell T., 2012, Beyond Smart Cities: How Cities Network, Learn and Innovate
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Castells M., 1989, INFORMATIONAL CITY I
   CUTHBERT AR, 1995, CITIES, V12, P293, DOI 10.1016/0264-2751(95)00073-U
   De las Rivas J. L, 1999, CIUDADES BUSCA RIQUE
   Doody L, 2014, A U-ARCHIT URBAN, V530, P114
   Fistola R, 2013, PROCEEDINGS OF THE 6TH KNOWLEDGE CITIES WORLD SUMMIT (KCWS 2013), P520
   Galdon-Clavell G, 2013, SCI PUBL POLICY, V40, P717, DOI 10.1093/scipol/sct070
   Garcia-Bellido J., 1982, CIUDAD TERRITORIO, V1, P45
   Garcia-Bellido J., 1983, CIUDAD TERRITORIO, V2, P93
   Gibson DavidV., 1992, The Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks
   Greenfield A., 2013, Against the Smart City: A Pamphlet. This is Part I of"The City is Here to Use
   Harrison C, 2010, IBM J RES DEV, V54, DOI 10.1147/JRD.2010.2048257
   Hernandez Aja A., 1994, CUADERNOS INVESTIGAC, V11
   Huston S, 2015, CITIES, V48, P66, DOI 10.1016/j.cities.2015.05.005
   Juan YK, 2011, IBM J RES DEV, V55, DOI 10.1147/JRD.2010.2096572
   Leydesdorff L, 2011, J URBAN TECHNOL, V18, P53, DOI 10.1080/10630732.2011.601111
   Malek J, 2013, NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2013), P9, DOI 10.1109/IE.2013.34
   Marsal-Llacuna M. L, 2015, TIME SOC, V24
   Marsal-Llacuna ML, 2015, TECHNOL FORECAST SOC, V90, P611, DOI 10.1016/j.techfore.2014.01.012
   Marsal-Llacuna ML, 2014, J URBAN TECHNOL, V21, P39, DOI 10.1080/10630732.2014.884385
   Marsal-Llacuna ML, 2013, LECT NOTES COMPUT SC, V7974, P17
   Marsal-Llacuna ML, 2013, LECT NOTES COMPUT SC, V7973, P324, DOI 10.1007/978-3-642-39646-5_24
   Marsal-Llacuna ML, 2011, LECT NOTES COMPUT SC, V6783, P93
   MAZZA L., 2004, Piano, progetti, strategie
   Mazza L, 1998, URBANISITCA, V111, P97
   Ministerio de Fomento, 1997, CIUD CIUD DIR GEN VI
   Ministerio de Obras Publicas, 1998, TERR CONS COL PROBL
   Mitchell WJ, 2002, SMART GROWTH: FORM AND CONSEQUENCES, P66
   Molinari F, 2012, PROCEEDINGS OF THE 12TH EUROPEAN CONFERENCE ON EGOVERNMENT, VOLS 1 AND 2, P483
   Munoz Gielen D., 2005, CIUDAD TERRITORIO, V37, P459
   Neirotti P, 2014, CITIES, V38, P25, DOI 10.1016/j.cities.2013.12.010
   Pellicer S, 2013, 2013 SEVENTH INTERNATIONAL CONFERENCE ON INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING (IMIS 2013), P439, DOI 10.1109/IMIS.2013.79
   Rodriguez de Santiago J. M., 2001, CIUDAD TERRITORIO, V33, P301
   Santinha G, 2010, J URBAN TECHNOL, V17, P77, DOI 10.1080/10630732.2010.515088
   Shapiro JM, 2006, REV ECON STAT, V88, P324, DOI 10.1162/rest.88.2.324
   Weinstock M, 2013, ARCHIT DESIGN, V83, P56, DOI 10.1002/ad.1619
   Winters JV, 2011, J REGIONAL SCI, V51, P253, DOI 10.1111/j.1467-9787.2010.00693.x
NR 47
TC 56
Z9 62
U1 1
U2 64
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUN
PY 2016
VL 55
BP 127
EP 138
DI 10.1016/j.cities.2016.02.006
PG 12
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA DP0NT
UT WOS:000378187200013
DA 2025-04-22
ER

PT J
AU Takayama, N
   Morikawa, T
   Bielinis, E
AF Takayama, Norimasa
   Morikawa, Takeshi
   Bielinis, Ernest
TI Relation between Psychological Restorativeness and Lifestyle, Quality of
   Life, Resilience, and Stress-Coping in Forest Settings
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE lifestyle; mood states; perceived restorativeness scale; positive and
   negative affect schedule; quality of life; resilience; restorative
   outcome scale; Shinrin-yoku; stress coping; subjective vitality scale
ID NATURAL-KILLER ACTIVITY; URBAN ENVIRONMENTS; HEALTH; GREEN; PERSONALITY;
   EXPERIENCES; LANDSCAPES; EXPRESSION; RESPONSES; CORTISOL
AB Previous research has mainly dealt with the physiological and psychological restorative effects of the forest environment. However, comparatively few studies have focused on how the traits and attributes of individuals (individual traits) affect the restorative effects of the forest environment. In this study, we examined the relationships between the psychological restorative effects offered by perceived restorativeness of outdoor settings and the individual traits. Then, we investigated the relationships between the restorative indicators that are useful in examining the restorative properties (i.e., the Perceived Restorativeness Scale (PRS); seven indicators in total), the psychological restorative effect (Profile of Mood States (POMS), Restorative Outcome Scale (ROS), positive and negative affect schedule (PANAS), and Subjective Vitality Scale (SVS); 10 indicators in total), and the individual trait indicators that could be used to investigate individual traits (Development of Health and Life Habit Inventory for lifestyle, Lazarus-type Stress Coping Inventory for stress coping, World Health Organization Quality of Life Assessment 26 for quality of life (QOL), and Sukemune-Hiew Resilience test for resilience; 28 indicators in total) in forest and urban settings. Respondents consisted of 46 male students in their twenties. A short-term experiment was conducted using the same method in both environmental settings. We then analyzed the intrinsic restorative properties and the restorative effects of the settings and referred to prior research to determine the restorative effects. Furthermore, we analyzed the relationship between the restorative indicators and the individual trait indicators by correlation analysis and multiple regression (step-wise) analysis. These new findings were obtained: (1) the forest setting was a restorative environment with a higher restorative effect than the urban setting; (2) although the forest setting had a higher restorative effect than the urban setting, and the influence of individual traits was small; (3) in the forest setting, the relationship between the restorative indicators and individual traits indicators were arranged; (4) distancing (Stress coping), psychological health (QOL), and satisfaction with living environment (QOL) were likely important indicators that are related to the restorative effects in the forest setting.
C1 [Takayama, Norimasa; Morikawa, Takeshi] Forest Res & Management Org, Forestry & Forest Prod Res Inst, Tsukuba, Ibaraki 3058687, Japan.
   [Bielinis, Ernest] Univ Warmia & Mazury, Fac Environm Management & Agr, Dept Forestry & Forest Ecol, Pl Lodzki 2, PL-10727 Olsztyn, Poland.
C3 Forestry & Forest Products Research Institute - Japan; University of
   Warmia & Mazury
RP Takayama, N (corresponding author), Forest Res & Management Org, Forestry & Forest Prod Res Inst, Tsukuba, Ibaraki 3058687, Japan.
EM hanri@ffpri.affrc.go.jp; tmori@ffpri.affrc.go.jp;
   ernest.bielinis@uwm.edu.pl
RI Bielinis, Ernest/I-8318-2019
OI Bielinis, Ernest/0000-0002-6384-4898
FU Japan Society for the Promotion of Science
FX This project was supported by the Japan Society for the Promotion of
   Science.
CR [Anonymous], JAPANESE J PHYSL ANT
   [Anonymous], 1997, Working Paper
   Bielinis E, 2018, URBAN FOR URBAN GREE, V29, P276, DOI 10.1016/j.ufug.2017.12.006
   Frumkin P, 2001, AM J PREV MED, V20, P234, DOI 10.1016/S0749-3797(00)00317-2
   Fujisawa M., 2014, J ENV INF SCI, V28, P316, DOI 10.11492/ceispapers.ceis28.0
   Haluza D, 2014, INT J ENV RES PUB HE, V11, P5445, DOI 10.3390/ijerph110505445
   HARTIG T, 1991, ENVIRON BEHAV, V23, P3, DOI 10.1177/0013916591231001
   Japan Health Psychology Institution, 2007, MAN STRESS COP INV
   Kaltenborn BP, 2002, LANDSCAPE URBAN PLAN, V59, P1, DOI 10.1016/S0169-2046(01)00243-2
   Kaplan R.K., 1995, The experience of nature: A psychological perspective, P177
   Kennedy TD, 2011, AGGRESSIVE BEHAV, V37, P315, DOI 10.1002/ab.20393
   Korpela KM, 2008, HEALTH PLACE, V14, P636, DOI 10.1016/j.healthplace.2007.10.008
   Korpela KM, 2010, HEALTH PROMOT INT, V25, P200, DOI 10.1093/heapro/daq007
   Kosugi S, 2002, STRESS PSYCHOL PROCE
   Kühn S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-12046-7
   Laumann K, 2003, J ENVIRON PSYCHOL, V23, P125, DOI 10.1016/S0272-4944(02)00110-X
   Lee J, 2009, SCAND J FOREST RES, V24, P227, DOI 10.1080/02827580902903341
   Li Q, 2008, J BIOL REG HOMEOS AG, V22, P45
   Li Q, 2008, INT J IMMUNOPATH PH, V21, P117, DOI 10.1177/039463200802100113
   Li Qing Li Qing, 2008, Open Public Health Journal, V1, P1, DOI 10.2174/1874944500801010001
   McEwen BS, 1998, NEW ENGL J MED, V338, P171, DOI 10.1056/NEJM199801153380307
   MCNAIR DM, 1964, J ABNORM SOC PSYCH, V69, P620, DOI 10.1037/h0040902
   Miyazaki Y., 2011, LOCAL PERSPECTIVES B, P407
   Monteleone AM, 2018, PSYCHOL MED, V48, P952, DOI 10.1017/S0033291717002409
   Morita E, 2007, PUBLIC HEALTH, V121, P54, DOI 10.1016/j.puhe.2006.05.024
   NILSSON K, 2011, SPRINGER, P1, DOI DOI 10.1007/978-90-481-9806-1_1
   Ohira H., 1999, Bull Tokai Women Univ, V19, P217
   Ohtsuka Y, 1998, INT J BIOMETEOROL, V41, P125, DOI 10.1007/s004840050064
   Park Bum Jin, 2010, Environmental Health and Preventive Medicine, V15, P18, DOI 10.1007/s12199-009-0086-9
   Park BJ, 2011, LANDSCAPE URBAN PLAN, V102, P24, DOI 10.1016/j.landurbplan.2011.03.005
   Park BJ, 2009, SILVA FENN, V43, P291, DOI 10.14214/sf.213
   Pasanen TP, 2018, J ENVIRON PSYCHOL, V59, P85, DOI 10.1016/j.jenvp.2018.08.014
   Quick J.C., 2013, Preventive stress management in organizations, V2nd
   Roe J, 2011, HEALTH PLACE, V17, P103, DOI 10.1016/j.healthplace.2010.09.003
   Ryan RM, 2010, J ENVIRON PSYCHOL, V30, P159, DOI 10.1016/j.jenvp.2009.10.009
   Ryan RM, 1997, J PERS, V65, P529, DOI 10.1111/j.1467-6494.1997.tb00326.x
   Sato A., 2001, JAPAN SOC PERSONALIT, V9, P138, DOI DOI 10.2132/JJPJSPP.9.2138
   Shibata S., 2008, MAN ENV RES ASS, V11, P1, DOI DOI 10.20786/MERA.11.1_1
   Sluiter JK, 2000, OCCUP ENVIRON MED, V57, P298, DOI 10.1136/oem.57.5.298
   Song CR, 2013, J PHYSIOL ANTHROPOL, V32, DOI 10.1186/1880-6805-32-14
   Spielberger C, 1983, State-Trait Anxiety Inventory
   Sukemune S., 2007, GUIDEBOOK SUKEMUNE H
   Takayama N., 2018, Journal of the Japanese Forest Society, V100, P71, DOI 10.4005/jjfs.100.71
   Takayama N., 2017, Journal of Environmental Information Science, P49, DOI [DOI 10.11492/CEISPAPERSEN.2017.2_49, DOI 10.11492/CEISPAPERSEN.2017.2, DOI 10.11492/ceispapersen.2017.2_49]
   Takayama N., 2010, J JPN I LANDSC ARCHI, V73, P531, DOI [10.5632/jila.73.531, DOI 10.5632/JILA.73.531]
   Takayama N., 2009, KANTO J FOR RES, V60, P85
   Takayama N., 2015, J ENV INF SCI, V29, P33
   Takayama N, 2012, STRESS REDUCTION EFF
   Takayama N, 2014, INT J ENV RES PUB HE, V11, P7207, DOI 10.3390/ijerph110707207
   Tazaki M, 2007, GUIDE OF WHOQOL 26
   TERASAKI M, 1992, JPN J PSYCHOL, V62, P350, DOI 10.4992/jjpsy.62.350
   Terasaki M., 1999, P 55 ANN CONV JAP PS
   Tisseron S., 2016, RESILIENCE WHAT IS R
   Tokunaga M., 2005, J HEALTH SCI, V27, P57
   Tsunetsugu Yuko, 2010, Environmental Health and Preventive Medicine, V15, P27, DOI 10.1007/s12199-009-0091-z
   Tyrväinen L, 2014, J ENVIRON PSYCHOL, V38, P1, DOI 10.1016/j.jenvp.2013.12.005
   ULRICH RS, 1984, SCIENCE, V224, P420, DOI 10.1126/science.6143402
   Velarde M. D., 2007, Urban Forestry & Urban Greening, V6, P199, DOI 10.1016/j.ufug.2007.07.001
   WATSON D, 1988, J PERS SOC PSYCHOL, V54, P1063, DOI 10.1037/0022-3514.54.6.1063
   WATSON D, 1988, J ABNORM PSYCHOL, V97, P346, DOI 10.1037/0021-843X.97.3.346
   Yokoyama K, 1990, Nihon Koshu Eisei Zasshi, V37, P913
NR 61
TC 41
Z9 43
U1 13
U2 105
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 1661-7827
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD APR 2
PY 2019
VL 16
IS 8
AR 1456
DI 10.3390/ijerph16081456
PG 21
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA HX9RX
UT WOS:000467747100149
PM 31022942
OA gold, Green Published, Green Submitted
DA 2025-04-22
ER

PT J
AU Benjamin, EO
   Adegoke, A
   Buchenrieder, GR
AF Benjamin, Emmanuel O.
   Adegoke, Abiola
   Buchenrieder, Gertrud R.
TI The Disenfranchisement of Practitioners and the Public Sector in
   Innovative Urban Farming in Sub-Saharan Africa: Insights from Nigeria
SO LAND
LA English
DT Article
DE urban farming; innovation; focus group discussion; Sub-Saharan Africa;
   Nigeria
ID FOOD SECURITY; CITIES; AGRICULTURE; INCOME
AB Innovative urban farming is crucial for enhancing food security, nutrition, livelihood resilience, and environmental sustainability in Sub-Saharan African cities. However, agricultural policies and extension services often overlook urban contexts, presumably due to resource constraints. Yet, to improve productivity, understanding the challenges and opportunities of innovative urban farming is essential. Exploratory qualitative research, including focus group discussions, was conducted in, Lagos, Nigeria, to gather insights from stakeholders. The analysis, using mind maps and a consensus index, compared the perspectives of private urban farmers and public sector representatives. The urban farmers recognize the potential of circular agri-food technologies, like hydroponics, aquaponics, recirculating aquaculture systems (RAS), drip irrigation, sack farming, and waste upcycling, to boost productivity. However, the urban farmers perceive a lack of public sector support for these innovations. The public sector representatives see the problem as urban farmers' behavioral and educational shortcomings, particularly their lack of coordination and commitment to adopting innovations. These differing views highlight the complex dynamics between urban farmers and local agricultural policymakers. This study emphasizes the need for structural changes and local-level stakeholder dialogues for developing effective urban farming policies in Sub-Saharan Africa.
C1 [Benjamin, Emmanuel O.; Buchenrieder, Gertrud R.] Univ Bundeswehr Munchen, Inst Sociol & Econ, Dept Social Sci & Publ Affairs, D-85577 Neubiberg, Germany.
   [Adegoke, Abiola] Aglobe Dev Ctr, Lagos, Nigeria.
C3 Bundeswehr University Munich
RP Buchenrieder, GR (corresponding author), Univ Bundeswehr Munchen, Inst Sociol & Econ, Dept Social Sci & Publ Affairs, D-85577 Neubiberg, Germany.
EM emmanuel.benjamin@unibw.de; abiola.adegoke@aglobedc.org;
   gertrud.buchenrieder@unibw.de
RI Benjamin, Emmanuel/AAC-7884-2020; Buchenrieder, Gertrud/S-1035-2016
OI Buchenrieder, Gertrud/0000-0003-2995-867X
FU European Union [101083790]; Horizon Europe - Pillar II [101083790]
   Funding Source: Horizon Europe - Pillar II
FX This research was funded by the European Union under Horizon Europe,
   grant agreement No. 101083790, project name "Integrated and Circular
   Technologies for Sustainable city region FOODSystems in Africa"
   (INCiTiS-FOOD). The views and opinions expressed are, however, those of
   theauthor(s) only and do not necessarily reflect those of the European
   Union. Neither the EuropeanUnion nor the granting authority can be held
   responsible for them
CR Adedeji-Adenola H, 2022, PAN AFR MED J, V42, DOI 10.11604/pamj.2022.42.106.34529
   Akinlade R.J., 2013, P 2013 4 INT C HAMM
   Aliyu AA, 2017, ANN AFR MED, V16, P149, DOI 10.4103/aam.aam_1_17
   Amao I., 2020, URBAN HORTICULTURE S, P1, DOI [10.5772/intechopen.90722, DOI 10.5772/INTECHOPEN.90722]
   [Anonymous], 2023, World Population Review
   Battersby J, 2013, GEOGR COMPASS, V7, P452, DOI 10.1111/gec3.12053
   Bedeke SB, 2023, ENVIRON DEV SUSTAIN, V25, P1017, DOI 10.1007/s10668-022-02118-8
   Benjamin E.O., 2023, Desertification, Land Degradation and Drought Resilience
   Benjamin E.O., 2015, Ph.D. Dissertation
   Benjamin EO, 2021, AQUACULT ECON MANAG, V25, P53, DOI 10.1080/13657305.2020.1793823
   Benjamin EO, 2021, FOOD SECUR, V13, P129, DOI 10.1007/s12571-020-01130-y
   Biru W., 2024, P EC FOOD SYST TRANS
   Cabannes Y, 2012, ENVIRON URBAN, V24, P665, DOI 10.1177/0956247812456126
   Chaminuka N., 2021, Sustainable Development Goals for Society, VVolume 2, P63
   Davies FT, 2018, FRONT SUSTAIN FOOD S, V2, DOI 10.3389/fsufs.2018.00084
   Davies J, 2021, FOOD POLICY, V103, DOI 10.1016/j.foodpol.2020.101999
   Dubbeling M., 2006, Cities farming for the future: urban agriculture for green and productive cities, P19
   Engel E., 2019, Farming in Cities: Potentials and Challenges of Urban Agriculture in Maputo and Cape Town
   Ezeomedo I., 2018, Afr. J. Environ. Res, V1, P78
   GHIndex, 2023, The Power of Youth in Shaping Food Systems
   Gore CD, 2018, WORLD DEV, V108, P169, DOI 10.1016/j.worlddev.2018.03.011
   Kareem I. A., 2022, Journal of Agricultural Science and Environment, V22, P85
   Kimengsi JN, 2020, COMMUNITY DEV, V51, P72, DOI 10.1080/15575330.2020.1716031
   König B, 2018, J CLEAN PROD, V180, P232, DOI 10.1016/j.jclepro.2018.01.037
   Kraaijvanger R, 2016, AGR SYST, V147, P38, DOI 10.1016/j.agsy.2016.05.001
   Krueger R.A., 1994, Focus Groups. A Practical Guide for Applied Research, V2nd ed., P270
   Lawal MO, 2012, BULL GEOGR SOCIO-ECO, V17, P87, DOI 10.2478/v10089-012-0009-1
   McIvor DW, 2015, AGR HUM VALUES, V32, P727, DOI 10.1007/s10460-015-9588-9
   Mkwambisi DD, 2011, J INT DEV, V23, P181, DOI 10.1002/jid.1657
   Mougeot L. J., 2000, Cities Feeding People Series report 31
   Olumba CC, 2021, HUM SOC SCI COMMUN, V8, DOI 10.1057/s41599-021-01007-1
   Orsini F, 2013, AGRON SUSTAIN DEV, V33, P695, DOI 10.1007/s13593-013-0143-z
   Oteri A.U., 2016, Water, Megacities, and Global Change., P1
   Prain G., 2006, Cities farming for the future: urban agriculture for green and productive cities, P275
   Quon Soonya., 1999, Cities Feeding People Series Report 28
   Sakho-Jimbira S., 2020, Policy Brief, V18
   Sangwan N, 2023, AGRICULTURE-BASEL, V13, DOI 10.3390/agriculture13020284
   Shiferaw B, 2014, WEATHER CLIM EXTREME, V3, P67, DOI 10.1016/j.wace.2014.04.004
   Slater R. J., 2001, Development Southern Africa, V18, P635, DOI 10.1080/03768350120097478
   Smit J., 2006, Cities farming for the future: urban agriculture for green and productive cities, P145
   Tregear A, 1998, FOOD POLICY, V23, P383, DOI 10.1016/S0306-9192(98)00044-X
   Van Eeuwijk P., 2017, Methodological Manual
   Xi LF, 2022, ADV MATER, V34, DOI 10.1002/adma.202105009
   Yoon BK, 2021, ACS NANO, V15, P10748, DOI 10.1021/acsnano.1c05980
   Zougmoré RB, 2018, CAH AGRIC, V27, DOI 10.1051/cagri/2018019
NR 45
TC 0
Z9 0
U1 1
U2 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUL
PY 2024
VL 13
IS 7
AR 963
DI 10.3390/land13070963
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ZT7F7
UT WOS:001277599700001
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Tian, Z
   Lyu, XY
   Zou, H
   Yang, HL
   Sun, LX
   Pinya, MS
   Chao, QC
   Feng, AQ
   Smith, B
AF Tian, Zhan
   Lyu, Xin-Yang
   Zou, Huan
   Yang, Hong-Long
   Sun, Laixiang
   Pinya, Maria Sunyer
   Chao, Qing-Chen
   Feng, Ai-Qing
   Smith, Ben
TI Advancing index-based climate risk assessment to facilitate adaptation
   planning: Application in Shanghai and Shenzhen, China
SO ADVANCES IN CLIMATE CHANGE RESEARCH
LA English
DT Article
DE Climate risk assessment; Megacities; Resilient urban infrastructures;
   Subsystem; Knowledge co-creation process; China
ID KNOWLEDGE; IMPACTS
AB One of the key issues in climate risk management is to develop climate resilient infrastructure so as to ensure safety and sustainability of urban functioning systems as well as mitigate the adverse impacts associated with increasing climate hazards. However, conventional methods of assessing risks do not fully address the interaction of various subsystems within the city system and are unable to consolidate diverse opinions of various stakeholders on their assessments of sector-specific risks posed by climate change. To address this gap, this study advances an integrated-systems-analysis tool - Climate Risk Assessment of Infrastructure Tool (CRAIT), and applies it to analyze and compare the extent of risk factor exposure and vulnerability over time across five critical urban infrastructure sectors in Shanghai and Shenzhen, two cities that have distinctive geo-climate profiles and histories of infrastructure development. The results show significantly higher level of variation between the two cities in terms of vulnerability levels than that of exposure. More specifically, the sectors of critical buildings, water, energy, and information & communication in Shenzhen have significantly higher vulnerability levels than Shanghai in both the 2000s and the 2050s. We further discussed the vulnerability levels of subsystems in each sector and proposed twelve potential adaptation options for the roads system based on four sets of criteria: technical feasibility, flexibility, co-benefits, and policy compatibility. The application of CRAIT is bound to be a knowledge co-production process with the local experts and stakeholders. This knowledge co-production process highlights the importance of management advancements and nature-based green solutions in managing climate change risk in the future though differences are observed across the efficacy categories due to the geographical and meteorological conditions in the two cities. This study demonstrates that this knowledge co-creation process is valuable in facilitating policymakers' decision-making and their feedback to scientific understanding in climate risk assessment, and that this approach has general applicability for cities in other regions and countries.
C1 [Tian, Zhan] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China.
   [Lyu, Xin-Yang] Shanghai Inst Technol, Shanghai 200235, Peoples R China.
   [Zou, Huan; Sun, Laixiang] SOAS Univ London, Sch Finance & Management, London WC1H 0XG, England.
   [Yang, Hong-Long] Shenzhen Natl Climate Observ Meteorol Bur Shenzhe, Shenzhen 518040, Peoples R China.
   [Sun, Laixiang] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   [Pinya, Maria Sunyer; Smith, Ben] Arup Grp Ltd, London W1T 4BQ, England.
   [Chao, Qing-Chen; Feng, Ai-Qing] China Meteorol Adm, Natl Climate Ctr, Beijing 10081, Peoples R China.
   [Chao, Qing-Chen; Feng, Ai-Qing] China Meteorol Adm, Climate Studies Key Lab, Beijing 100081, Peoples R China.
C3 Southern University of Science & Technology; Shanghai Institute of
   Technology; University of London; University of London School Oriental &
   African Studies (SOAS); University System of Maryland; University of
   Maryland College Park; China Meteorological Administration; China
   Meteorological Administration
RP Zou, H (corresponding author), SOAS Univ London, Sch Finance & Management, London WC1H 0XG, England.
EM h.zou@soas.ac.uk
RI Zou, Huan/KHZ-3168-2024; SUN, LAIXIANG/ABB-2622-2021; Yang,
   Honglong/IXW-7633-2023
OI Zou, Huan/0000-0002-3952-8481; Sun, Laixiang/0000-0002-7784-7942
FU Shenzhen Science and Technology Program [KCXFZ20201221173412035];
   National Natural Science Foundation of China [51761135024]; UKeChina
   Research & Innovation Partnership Fund through the Met Office Climate
   Science for Service Partnership (CSSP) China, Newton Fund (Project:
   Climate Risk Assessment Tool for Chinese Cities); UK-China Cooperation
   on Climate Change Risk Assessment (Phase 3); Newton Fund [EP/R034214/1]
   Funding Source: UKRI
FX This work was supported by the Shenzhen Science and Technology Program
   (KCXFZ20201221173412035), the National Natural Science Foundation of
   China (51761135024), the UKeChina Research & Innovation Partnership Fund
   through the Met Office Climate Science for Service Partnership (CSSP)
   China as part of the Newton Fund (Project: Climate Risk Assessment Tool
   for Chinese Cities), and the UK-China Cooperation on Climate Change Risk
   Assessment (Phase 3) for financial support. We thank Xinxing Huang for
   his help in drawing the figures.
CR Adger WN, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2018.0106
   [Anonymous], 2006, MEASURING VULNERABIL
   Bhattacharyay B., 2010, ADBI Working Paper No. 248
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4570, DOI 10.1073/pnas.1601266113
   Dawson RJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0298
   De Dominicis M, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087002
   Dong GT, 2020, EARTH SPACE SCI, V7, DOI 10.1029/2019EA001024
   Hu HZ, 2019, WATER RES, V166, DOI 10.1016/j.watres.2019.115067
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   Jeuken A., 2011, WATER GOVERNANCE, V1, P29
   Jian W, 2021, NAT HAZARDS, V105, P1691, DOI 10.1007/s11069-020-04372-3
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Liu JG, 2019, NAT SUSTAIN, V2, P80, DOI 10.1038/s41893-019-0229-y
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Millward R, 2005, PRIVATE PUBLIC ENTER
   Nguyen TTX, 2016, OCEAN COAST MANAGE, V123, P18, DOI 10.1016/j.ocecoaman.2015.11.022
   OECD, 2018, OECD ENV POL PAP NO, V14, DOI [10.1787/4fdf9-af-en, DOI 10.1787/4FDF9-AF-EN]
   Quinn A., 2017, RAIL ADAPT Adapting the railway for the future
   Reisinger A., 2020, The Concept of Risk in the IPCC Sixth Assessment Report: A Summary of Cross-Working Group Discussions
   Shi PJ, 2007, CATENA, V69, P31, DOI 10.1016/j.catena.2006.04.015
   Soroczynski T, 2002, INT C ENV MODELLING
   State Council, 2021, GOV ENH TREATM URB W
   Straub S., 2008, INFRASTRUCTURE GROWT
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   Sun LD, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072099
   Tate E, 2013, ANN ASSOC AM GEOGR, V103, P526, DOI 10.1080/00045608.2012.700616
   Treasury H., 2015, The aqua book: guidance on producing quality analysis for government
   Wang S, 2021, ATMOS SCI LETT, V22, DOI 10.1002/asl.1058
   Wang S, 2021, SCIENCE, V371, P514, DOI 10.1126/science.abb9038
   Yan HY, 2019, MAR POLLUT BULL, V145, P208, DOI 10.1016/j.marpolbul.2019.05.046
   Yang L, 2015, REG ENVIRON CHANGE, V15, P379, DOI 10.1007/s10113-014-0651-7
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 32
TC 6
Z9 6
U1 5
U2 50
PU KEAI PUBLISHING LTD
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, Building 5, Room 411, BEIJING, DONGCHENG
   DISTRICT 100009, PEOPLES R CHINA
SN 1674-9278
J9 ADV CLIM CHANG RES
JI Adv. Clim. Chang. Res.
PD JUN
PY 2022
VL 13
IS 3
BP 432
EP 442
DI 10.1016/j.accre.2022.02.003
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 1P5VQ
UT WOS:000802076800003
OA gold
DA 2025-04-22
ER

PT J
AU Parzniewski, S
   Breen, K
   Ru, SY
   Peters, K
   Neal, J
   Wu, HR
AF Parzniewski, Szymon
   Breen, Kyle
   Ru, Siyu
   Peters, Kaylee
   Neal, Jessica
   Wu, Haorui
TI Evolving Interconnections: Themes and Trends in Sustainable Built
   Environment Responses to the COVID-19 Pandemic
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article; Early Access
DE COVID-19 pandemic; Health protocols; Resilience; Sustainable built
   environment; Systematic literature review; Urban green spaces (UGS)
ID URBAN; TRANSPORTATION; COMMUNITY
AB The COVID-19 pandemic has influenced the way the sustainable built environment-encompassing buildings, infrastructure, and other physical structures-is designed, managed, and utilized, as societal responses to the pandemic may have contributed to shifts in priorities and practices in these areas. Research has predominantly focused on the pandemic's impacts on enhancing the resilience of the built environment and its role in supporting health protocols, such as reducing transmission risks. However, a critical gap persists in understanding the evolving relationship between the various stages of the COVID-19 pandemic and the sustainable built environment. Accordingly, this systematic literature review (SLR) aims to explore the major themes and trends in sustainable built environment responses to the COVID-19 pandemic and identify gaps in existing studies. The authors employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to systematically search four databases for English-language journal articles published between 2020 and 2023. A total of 331 articles were analyzed using descriptive and thematic methods. The findings reveal that research priorities shifted during different stages of the pandemic, with particular attention given to key areas of the sustainable built environment: healthy outdoor spaces, such as urban green spaces (UGS); energy efficiency and urban planning; and urban mobility and transportation. This SLR contributes to advancing risk reduction strategies that address the intricate interdependencies between major health emergencies and long-term sustainability imperatives for the built environment.
C1 [Parzniewski, Szymon; Ru, Siyu; Peters, Kaylee; Neal, Jessica; Wu, Haorui] Dalhousie Univ, Fac Hlth, Sch Social Work, Halifax, NS B3H 4R2, Canada.
   [Breen, Kyle] Texas A&M Int Univ, Dept Social Sci, Laredo, TX 78041 USA.
C3 Dalhousie University; Texas A&M University System; Texas A&M
   International University
RP Parzniewski, S (corresponding author), Dalhousie Univ, Fac Hlth, Sch Social Work, Halifax, NS B3H 4R2, Canada.
EM s.parzniewski@dal.ca
FU Social Sciences and Humanities Research Council of Canada (SSHRC)
   Insight Development Grants [430-2021-00352, 430-2024-01385]; SSHRC
   Knowledge Synthesis Grants [872-2022-1045, 872-2023-0043, 2023]; Faculty
   of Health, Dalhousie University; Canada Research Chairs Program
   [CRC-2020-00128]
FX This research was supported by the Social Sciences and Humanities
   Research Council of Canada (SSHRC) Insight Development Grants (Award #
   430-2021-00352 and Award # 430-2024-01385), SSHRC Knowledge Synthesis
   Grants (Award # 872-2022-1045 and Award #872-2023-0043), and Research
   Development Grant (2023), Faculty of Health, Dalhousie University. This
   research was also undertaken, in part, thanks to funding from the Canada
   Research Chairs Program (Award # CRC-2020-00128). The authors would also
   like to thank the researchers and research assistants who helped on this
   project: Dr. Lea Tufford, Julia Johnston, Bryan Olthof, and Mandy Yung.
CR Abdelfattah L., 2022, Transportation Research Procedia, V60, P330, DOI [10.1016/j.trpro.2021.12.043, DOI 10.1016/J.TRPRO.2021.12.043]
   Abdelkader M M., 2023, Journal of Engineering and Applied Science, V70, P5, DOI [DOI 10.1186/S44147-023-00173-0, 10.1186/s44147-023-00173-0]
   Addas A, 2022, URBAN FOR URBAN GREE, V69, DOI 10.1016/j.ufug.2022.127493
   Aldossary NA, 2023, INFRASTRUCTURES-BASE, V8, DOI 10.3390/infrastructures8010009
   Alidadi M, 2022, SCI TOTAL ENVIRON, V850, DOI 10.1016/j.scitotenv.2022.158056
   Allen-Coghlan M, 2021, INT J HOUS MARK ANAL, V14, P636, DOI 10.1108/IJHMA-05-2020-0065
   Appau MW, 2023, OPEN HOUSE INT, V48, P356, DOI 10.1108/OHI-03-2022-0081
   Barath M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811158
   Benita F, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102916
   Berdejo-Espinola V, 2021, PEOPLE NAT, V3, P597, DOI 10.1002/pan3.10218
   Bettaieb DM, 2021, ARCHNET-IJAR, V15, P28, DOI 10.1108/ARCH-07-2020-0144
   Bojovic M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031302
   Borowska-Stefanska Marta, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20095752
   Bostrom M., 2012, Sustainability: Science, Practice & Policy, V8, P1
   Boulanger SOM, 2022, ENERGIES, V15, DOI 10.3390/en15249326
   Bristowe A, 2023, URBAN FOR URBAN GREE, V81, DOI 10.1016/j.ufug.2023.127848
   Buehler R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127293
   Burnett H, 2022, LAND-BASEL, V11, DOI 10.3390/land11040503
   Cai Senhong, 2024, Energy and Built Environment, V5, P364, DOI 10.1016/j.enbenv.2022.11.004
   Chaloeytoy K, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12101532
   Chen C, 2022, J INFECT DIS, V226, P1593, DOI 10.1093/infdis/jiac136
   Coyle N., 2020, Planning for place making and tactical urbanism in the post-COVID city
   Deiss BM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111586
   Dempsey N, 2011, SUSTAIN DEV, V19, P289, DOI 10.1002/sd.417
   Dianim MR., 2022, The International Journal of Architectonic, Spatial, and Environmental Design, V17, P15, DOI [10.18848/2325-1662/CGP/v17i02/15-45, DOI 10.18848/2325-1662/CGP/V17I02/15-45]
   Dinnie E, 2013, LANDSCAPE URBAN PLAN, V118, P103, DOI 10.1016/j.landurbplan.2013.07.011
   Duarte CC, 2022, CLEAN TECHNOL-BASEL, V4, P174, DOI 10.3390/cleantechnol4010012
   Fallah-Aliabadi S, 2022, PUBLIC HEALTH NURS, V39, P1142, DOI 10.1111/phn.13075
   Fetters MD, 2013, HEALTH SERV RES, V48, P2134, DOI 10.1111/1475-6773.12117
   Gallent N, 2021, PLAN PRACT RES, V36, P567, DOI 10.1080/02697459.2021.1964782
   Gao SQ, 2023, FRONT PUBLIC HEALTH, V11, DOI 10.3389/fpubh.2023.1055720
   Geng DH, 2021, J FORESTRY RES, V32, P553, DOI 10.1007/s11676-020-01249-w
   Gianfredi V, 2021, EUR J PUBLIC HEALTH, V31
   Gkiotsalitis K, 2021, TRANSPORT REV, V41, P374, DOI 10.1080/01441647.2020.1857886
   Gubic I, 2022, HABITAT INT, V128, DOI 10.1016/j.habitatint.2022.102651
   Gungat L., 2023, IOP Conference Series: Earth and Environmental Science, V1173, pArticl
   Haq S. M. A., 2011, Journal of Environmental Protection, V2, P601, DOI 10.4236/jep.2011.25069
   Hassler U, 2014, BUILD RES INF, V42, P119, DOI 10.1080/09613218.2014.873593
   Hernández JRE, 2023, J CLEAN PROD, V432, DOI 10.1016/j.jclepro.2023.139735
   Hoernke K, 2020, J ROY SOC MED, V113, P482, DOI 10.1177/0141076820948817
   Hunter RF, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23937-9
   Ito H, 2023, REG STUD REG SCI, V10, P253, DOI 10.1080/21681376.2023.2180425
   Jacoby S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095355
   Jardim B, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141710933
   Jevtic M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159274
   Karatas Z, 2021, FRONT PSYCHOL, V12, DOI 10.3389/fpsyg.2021.633384
   Kashyap N, 2021, POPUL HEALTH MANAG, V24, P166, DOI 10.1089/pop.2020.0201
   Kazim S., 2021, Turkish Journal of Computer and Mathematics Education (TURCOMAT), V12, P4452
   Khalilnezhad MR, 2021, LAND-BASEL, V10, DOI 10.3390/land10101085
   Khanijahani A, 2021, INT J EQUITY HEALTH, V20, DOI 10.1186/s12939-021-01582-4
   Khatibi H, 2021, BUILT ENVIRON PROJ A, V11, P493, DOI 10.1108/BEPAM-03-2020-0049
   Kim Jiwon, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20043018
   Kleinschroth F., 2024, Effects of the COVID pandemic on the use of urban green spaces: A systematic review, P1, DOI [10.1038/s44284-023-00020-6, DOI 10.1038/S44284-023-00020-6, DOI 10.21203/RS.3.RS-3269809/V1]
   Kojima M, 2023, ENERG BUILDINGS, V290, DOI 10.1016/j.enbuild.2023.113082
   Marconi PL, 2022, URBAN ECOSYST, V25, P941, DOI 10.1007/s11252-022-01204-z
   Lee KS, 2024, TRANSPORTATION, V51, P1907, DOI [10.1007/s11116-023-10392-2, 10.4324/9781003320463-1]
   Glavan OL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031885
   Li SJ, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102752
   Liu HY, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065048
   Lo AYH, 2010, CITIES, V27, P430, DOI 10.1016/j.cities.2010.07.001
   Loftness V., 2013, Sustainable built environments, P620, DOI [10.1007/978-1-4614-5828-9925, DOI 10.1007/978-1-4614-5828-9925]
   Lüdtke DU, 2021, WATER-SUI, V13, DOI 10.3390/w13030260
   Luo SX, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13126806
   Mahima M., 2022, Frontiers in Engineering and Built Environment, V2, P69, DOI [10.1108/FEBE-09-2021-0040, DOI 10.1108/FEBE-09-2021-0040]
   Malpezzi S, 2023, CONTEMP ECON POLICY, V41, P9, DOI 10.1111/coep.12563
   March L, 2022, URBAN PLAN, V7, P352, DOI 10.17645/up.v7i4.5610
   Maury-Mora M, 2022, URBAN FOR URBAN GREE, V69, DOI 10.1016/j.ufug.2022.127492
   Huerta CM, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18084304
   Mcclelland AG, 2022, J SAF SCI RESIL, V3, P222, DOI 10.1016/j.jnlssr.2022.03.003
   Mell I, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18041527
   Monno V, 2015, EUR J SUSTAIN DEV, V4, P51
   Monzón-Chavarrías M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020918
   Mouratidis K, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105772
   Navaratnam S, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12010074
   Noszczyk T, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105925
   Nowell LS, 2017, INT J QUAL METH, V16, DOI 10.1177/1609406917733847
   O'Grady N, 2022, GEOFORUM, V132, P32, DOI 10.1016/j.geoforum.2022.03.021
   Oh HJ, 2021, INT REV SPAT PLAN SU, V9, P50, DOI 10.14246/irspsd.9.4_50
   Oladiran O, 2023, INT J STRATEG PROP M, V27, P35, DOI 10.3846/ijspm.2023.18003
   Olayode IO, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159586
   Ozbilen B, 2021, TRANSPORT RES A-POL, V145, P49, DOI 10.1016/j.tra.2021.01.002
   Page M.J., 2021, J. Clin. Epidemiol., V134, P189, DOI DOI 10.1016/J.JCLINEPI.2021.03.001
   Parivar P., 2022, Current Landscape Ecology Reports, V7, P128, DOI DOI 10.1007/S40823-022-00078-3
   Park B, 2021, HEALTHCARE-BASEL, V9, DOI 10.3390/healthcare9040448
   Phapant P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413636
   Pinheiro MD, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145863
   Rathje EM, 2017, NAT HAZARDS REV, V18, DOI 10.1061/(ASCE)NH.1527-6996.0000246
   Rojas-Rueda D, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18020704
   Sahu S, 2023, PUBLIC TRANSPORT, V15, P435, DOI 10.1007/s12469-023-00320-z
   Sakina B., 2023, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1169/1/012076
   Salonen N, 2023, FRONT BUILT ENVIRON, V9, DOI 10.3389/fbuil.2023.1212920
   Sanesi Giovanni, 2006, Urban Forestry & Urban Greening, V5, P121, DOI [10.1016/j.ufug.2006.06.001, 10.1016/j.ufug.2005.12.001]
   Schipperijn J, 2010, URBAN FOR URBAN GREE, V9, P25, DOI 10.1016/j.ufug.2009.09.002
   Sempewo JI, 2021, WATER SUPPLY, V21, P2489, DOI 10.2166/ws.2021.044
   Setiowati R, 2023, ENVIRON ENG RES, V28, DOI 10.4491/eer.2021.598
   Shamaileh AA, 2022, INT J HUM RIGHTS HEA, V15, P137, DOI 10.1108/IJHRH-01-2021-0013
   Sharifi A, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.105297
   Sharifi A, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.142391
   Shirazi MR, 2017, LOCAL ENVIRON, V22, P1526, DOI 10.1080/13549839.2017.1379476
   Sogbe E, 2021, CASE STUD TRANSP POL, V9, P1607, DOI 10.1016/j.cstp.2021.08.010
   Spennemann DHR, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5040093
   Sreetheran M, 2017, URBAN FOR URBAN GREE, V25, P85, DOI 10.1016/j.ufug.2017.05.003
   Stephanidis C, 2019, INT J HUM-COMPUT INT, V35, P1229, DOI 10.1080/10447318.2019.1619259
   Swapan MSH, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16103929
   Taghipour A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15054178
   Tolac SS., 2022, International Journal of Sustainable Building Technology and Urban Development, V13, P84
   Uchiyama Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12239842
   Ugolini F, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126888
   Venter ZS, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb396
   Wang JJ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147561
   Wang SQ, 2022, LAND-BASEL, V11, DOI 10.3390/land11112005
   Xiao WY, 2022, TRANSPORT RES D-TR E, V110, DOI 10.1016/j.trd.2022.103428
   Xie XX, 2022, ENERGIES, V15, DOI 10.3390/en15155488
   Xu YQ, 2021, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.761614
   Yamazaki T, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179817
NR 115
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2095-0055
EI 2192-6395
J9 INT J DISAST RISK SC
JI Int. J. Disaster Risk Sci.
PD 2025 APR 8
PY 2025
DI 10.1007/s13753-025-00634-5
EA APR 2025
PG 15
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 1CL2R
UT WOS:001461719000001
OA gold
DA 2025-04-22
ER

PT J
AU Peano, C
   Massaglia, S
   Ghisalberti, C
   Sottile, F
AF Peano, Cristiana
   Massaglia, Stefano
   Ghisalberti, Chiara
   Sottile, Francesco
TI Pathways for the Amplification of Agroecology in African Sustainable
   Urban Agriculture
SO SUSTAINABILITY
LA English
DT Article
DE urban small-scale agriculture; school garden; community garden; Africa
ID FOOD; GARDEN; IMPACT; FARMS
AB A growing awareness that highly intensified agricultural systems have made a substantial worldwide contribution to the worsening of the resilience capacity of natural ecosystems has, over the last twenty years, brought general attention to agroecological management models. This aspect is even more evident in industrial agriculture, which is based on the use of multiple chemical products derived from non-natural synthesis. In more developed countries, a new idea of ecology linked to agricultural production has been increasingly developed and, for this reason, there has been a greater diffusion of differentiated agricultural models taking into consideration the environmental impact of production choices and policies addressed to the conservation of natural resources. In urban agricultural production, it is even more important to adopt resilient production models that, in addition to developing responsible production paths and allowing a positive connection with the needs of consumers, guarantees reasonable and positive behaviors respecting the environment in which most of the urban population lives; in other words, the implementation of goal 12 of the sustainable development goals (SDG #12 Responsible Production and Consumption) of the United Nations. In this work, we report some case studies inspired by the activities carried out by the Slow Food Association in Africa and demonstrate the importance of agroecological models in small-scale agricultural systems, related to the development of school and community gardens in small urban areas of different African countries, as a tool for integrating agricultural activities aimed at social resilience and the conservation of ecosystems.
C1 [Peano, Cristiana; Massaglia, Stefano; Ghisalberti, Chiara] Univ Torino, Dipartimento Sci Agr Forestali & Alimentari, Largo Paolo Braccini 2, I-10095 Grugliasco, Italy.
   [Sottile, Francesco] Univ Palermo, Dipartimento Architettura, Viale Sci,Edificio 14, I-90128 Palermo, Italy.
C3 University of Turin; University of Palermo
RP Sottile, F (corresponding author), Univ Palermo, Dipartimento Architettura, Viale Sci,Edificio 14, I-90128 Palermo, Italy.
EM cristiana.peano@unito.it; stefano.massaglia@unito.it;
   chiara.ghisalberti@unito.it; francesco.sottile@unipa.it
RI Sottile, Francesco/I-8115-2019
OI Sottile, Francesco/0000-0002-7774-6172; MASSAGLIA,
   STEFANO/0000-0002-7617-1696; peano, cristiana/0000-0001-8860-0139
CR Aguilar Y, 2015, CURR OPIN ENV SUST, V15, P72, DOI 10.1016/j.cosust.2015.09.003
   [Anonymous], ORGANIC AGR AFRICAN
   [Anonymous], 2018, AGROECOLOGY SCI SUST
   [Anonymous], 2014, The IPCCs Fifth Assessment Report Whats in it for Africa?
   [Anonymous], SUSTAINABILITY BASEL
   Ba M. N., 2016, Agricultural Sciences, V7, P457
   Bowker R., 2007, Learning Environmental Research, V10, P83, DOI DOI 10.1007/S10984-007-9025-0
   Chauvin D.C., 2012, 2012011 WP REG BUR A
   Debray V, 2019, AGROECOL SUST FOOD, V43, P429, DOI 10.1080/21683565.2018.1509166
   FAO, 2018, SCAL AGR IN TRANSP F
   Ferguson BG, 2019, AGROECOL SUST FOOD, V43, P724, DOI 10.1080/21683565.2019.1591565
   Francis C, 2003, J SUSTAIN AGR, V22, P99, DOI 10.1300/J064v22n03_10
   Francis C.A., 2015, INT ENCY SOCIAL BEHA, P484
   Gbedomon RC, 2017, BIODIVERS CONSERV, V26, P3307, DOI 10.1007/s10531-017-1407-8
   Gliessman S., 2015, TRANSDISCIPLINARY PA
   Gliessman SR, 2015, AGROECOLOGY: THE ECOLOGY OF SUSTAINABLE FOOD SYSTEMS, 3RD EDITION, P1, DOI 10.1201/b19500
   GOMEZPOMPA A, 1992, BIOSCIENCE, V42, P271, DOI 10.2307/1311675
   Hernandez Xolocotzi E., 1977, CONTRIBUCIONES ENSEN
   Holt-Giménez E, 2002, AGR ECOSYST ENVIRON, V93, P87, DOI 10.1016/S0167-8809(02)00006-3
   Isgren E, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081357
   Kerr RB, 2018, RENEW AGR FOOD SYST, V33, P238, DOI 10.1017/S1742170518000017
   La Via Campesina, MAP DECL MAP MOZ
   Levidow L, 2014, AGROECOL SUST FOOD, V38, P1127, DOI 10.1080/21683565.2014.951459
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   Meul M, 2008, AGRON SUSTAIN DEV, V28, P321, DOI 10.1051/agro:2008001
   Peano C, 2015, SUSTAINABILITY-BASEL, V7, P6721, DOI 10.3390/su7066721
   Petrini Carlo., 2005, BUONO PULITO GIUSTO
   Pimbert M. P., 2018, Economic and Political Weekly, V53, P52
   Posey DarrylAddisson., 1999, CULTURAL SPIRITUAL V, P3
   Rabhi P., 2011, MANIFESTE TERRE LHUM
   Rabhi P., 1989, CANDIDE
   Reijntjes C, 1992, FARMING FUTURE
   Roberts S, 2018, LAND-BASEL, V7, DOI 10.3390/land7040146
   Rogé P, 2017, INT J AGR SUSTAIN, V15, P555, DOI 10.1080/14735903.2017.1372850
   Saghir J, 2014, FOOD ENERGY SECUR, V3, P61, DOI 10.1002/fes3.43
   Sottile F., 2017, AGRICOLTURA SLOW
   Sottile F, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080801
   Stambach A, 2016, CAMB J EDUC, V46, P247, DOI 10.1080/0305764X.2015.1102866
   Tadele Z, 2017, AGRONOMY-BASEL, V7, DOI 10.3390/agronomy7010022
   Tongwane MI, 2018, AGR SYST, V166, P124, DOI 10.1016/j.agsy.2018.08.011
   Valentini R, 2014, BIOGEOSCIENCES, V11, P381, DOI 10.5194/bg-11-381-2014
   van Calker KJ, 2004, AGR SYST, V82, P139, DOI 10.1016/j.agsy.2004.02.001
   Williams DR, 2013, REV EDUC RES, V83, P211, DOI 10.3102/0034654313475824
NR 44
TC 12
Z9 13
U1 2
U2 25
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2020
VL 12
IS 7
AR 2718
DI 10.3390/su12072718
PG 13
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA LL4WR
UT WOS:000531558100143
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Liu, HM
   Knight, DW
AF Liu, Haimeng
   Knight, David W.
TI Short- and long-term destination resilience in Wuhan, China under
   COVID-19: Differences in scenic spot type and origin market structure
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Destination resilience; COVID-19; Tourism background trend line
   modeling; Scenic spots; Tourism demand; China
ID INBOUND TOURISM DEMAND; CRISIS MANAGEMENT; ECONOMIC-CRISIS; IMPACTS;
   EVENTS; FORECASTS; PATTERNS; URBAN
AB Analyzing changes in destination resilience can inform critical but under-explored linkages characterizing disaster events and recovery. Based on web search data from 2011 to 2021, this study applied Tourism Background Trend Line (TBTL) modeling to calculate tourism resilience of 41 scenic spots in Wuhan, China under COVID-19. Existing government classifications and market demand data informed scenic spot categorization into three groups based on attraction type (cultural, leisure, natural) or domestic origin market structure (high, moderate and low dependence on the local market). Two-way ANOVAs tested differences in short- and long-term resilience among these different groups. Results indicate that scenic spots with low dependence on the local market were most resilient in the short-term (Jan-April 2020), while scenic spots with high dependence on the local market and natural scenic spots were most resilient in the long-term (May 2020-Dec 2021). Findings highlight heterogeneities in destination resilience at the micro-scale within a single destination, encouraging managers to develop targeted marketing strategies for various scenic spots at different stages of crises like COVID-19. The study's novel framework and implications also inform short-versus long-term resilience theory while accentuating destination recovery strategies in post-pandemic contexts.
C1 [Liu, Haimeng; Knight, David W.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
   [Liu, Haimeng] Wuhan Branch China Tourism Acad, Wuhan Branch, Wuhan 430079, Peoples R China.
   [Knight, David W.] Colorado State Univ, Dept Human Dimens Nat Resources, Ft Collins, CO 80523 USA.
C3 Central China Normal University; Colorado State University System;
   Colorado State University Fort Collins
RP Knight, DW (corresponding author), Colorado State Univ, Dept Human Dimens Nat Resources, Ft Collins, CO 80523 USA.
EM lhmengdoris@163.com; david.knight@colostate.edu
RI Liu, Haimeng/R-7364-2018; Knight, David/AAE-2480-2019
FU China Scholarship Council [CXXM20210047]; Central China Nor- mal
   University [CCNU20BG003]
FX Acknowledgements This research was made possible with funding from the
   China Scholarship Council (CXXM20210047) and from Central China Nor- mal
   University (CCNU20BG003) .
CR Agazade S, 2022, TOURISM ECON, V28, P714, DOI 10.1177/13548166211055985
   Ahmad N, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2023.100344
   Akal M, 2004, TOURISM MANAGE, V25, P565, DOI 10.1016/j.tourman.2003.08.001
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Amore A, 2018, TOUR REV INT, V22, P235, DOI 10.3727/154427218X15369305779010
   Angulo AM, 2018, ANN REGIONAL SCI, V60, P349, DOI 10.1007/s00168-017-0815-8
   Duro JA, 2022, J DESTIN MARK MANAGE, V25, DOI 10.1016/j.jdmm.2022.100731
   Austermann F, 2020, ASIA EUR J, V18, P211, DOI 10.1007/s10308-020-00577-0
   Bangwayo-Skeete PF, 2021, TOURISM GEOGR, V23, P436, DOI 10.1080/14616688.2020.1750684
   Benítez-Aurioles B, 2020, TOUR ANAL, V25, P409, DOI 10.3727/108354220X16010020096118
   Blake A, 2003, ANN TOURISM RES, V30, P813, DOI 10.1016/S0160-7383(03)00056-2
   Boto-García D, 2022, ANN TOURISM RES, V93, DOI 10.1016/j.annals.2022.103352
   Branstrator JR, 2023, J ECOTOURISM, V22, P103, DOI 10.1080/14724049.2022.2055046
   Bureau of Culture and Tourism of Wuhan, 2020, About us
   Chen DL, 2024, CURR ISSUES TOUR, V27, P445, DOI 10.1080/13683500.2023.2165482
   Cheng MM, 2023, INT J CONTEMP HOSP M, V35, P2838, DOI 10.1108/IJCHM-02-2022-0221
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dahles H, 2015, ANN TOURISM RES, V51, P34, DOI 10.1016/j.annals.2015.01.002
   Duro J, 2022, ANN TOUR RES EMPIR I, V3, DOI 10.1016/j.annale.2022.100039
   Fan XC, 2023, J OUTDOOR REC TOUR, V41, DOI 10.1016/j.jort.2022.100522
   Faulkner B, 2001, TOURISM MANAGE, V22, P135, DOI 10.1016/S0261-5177(00)00048-0
   Gallego I, 2019, J DESTIN MARK MANAGE, V14, DOI 10.1016/j.jdmm.2019.100382
   Ghaderi Z, 2015, ASIA PAC J TOUR RES, V20, P399, DOI 10.1080/10941665.2014.889726
   Ghaderi Z, 2012, TOUR MANAG PERSPECT, V2-3, P79, DOI 10.1016/j.tmp.2012.03.006
   Gössling S, 2021, J SUSTAIN TOUR, V29, P1, DOI 10.1080/09669582.2020.1758708
   Gretzel U, 2018, TOUR REV INT, V22, P263, DOI 10.3727/154427218X15369305779065
   Hailemariam A, 2023, CURR ISSUES TOUR, V26, P2575, DOI 10.1080/13683500.2022.2113044
   Hall C.M., 2017, Tourism, resilience and sustainability, P18
   Hall CM, 2010, CURR ISSUES TOUR, V13, P401, DOI 10.1080/13683500.2010.491900
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang J.Q, 2020, 2 INT S MAN SOC SCI, P241, DOI [10.2991/assehr.k.201202.123, DOI 10.2991/ASSEHR.K.201202.123]
   Huang XK, 2017, TOURISM MANAGE, V58, P301, DOI 10.1016/j.tourman.2016.03.015
   Hyndman R. J., 2018, FORECASTING PRINCIPL
   Ioannides D, 2020, TOURISM GEOGR, V22, P624, DOI 10.1080/14616688.2020.1763445
   Ivanova M, 2021, ANATOLIA, V32, P1, DOI 10.1080/13032917.2020.1818267
   Jang S, 2022, ANN TOURISM RES, V93, DOI 10.1016/j.annals.2021.103322
   Jiao EX, 2019, TOURISM ECON, V25, P469, DOI 10.1177/1354816618812588
   KASPERSON RE, 1988, RISK ANAL, V8, P177, DOI 10.1111/j.1539-6924.1988.tb01168.x
   Khan A, 2021, CURR ISSUES TOUR, V24, P952, DOI 10.1080/13683500.2020.1850653
   Knight DW, 2024, J CHINA TOUR RES, V20, P900, DOI 10.1080/19388160.2024.2306211
   Knight DW, 2020, INT J CONTEMP HOSP M, V13, P3705, DOI 10.1108/IJCHM-04-2020-0278
   Kock F, 2020, ANN TOURISM RES, V85, DOI 10.1016/j.annals.2020.103053
   Lew AA, 2014, TOURISM GEOGR, V16, P14, DOI 10.1080/14616688.2013.864325
   Li HQ, 2011, TOURISM ECON, V17, P997, DOI 10.5367/te.2011.0083
   Li HS, 2022, INT J PROD ECON, V250, DOI 10.1016/j.ijpe.2022.108685
   Li L, 2022, CURR ISSUES TOUR, V25, P287, DOI 10.1080/13683500.2021.1937075
   Li X, 2021, ANN TOURISM RES, V90, DOI 10.1016/j.annals.2021.103258
   Li YJ, 2020, ANN TOURISM RES, V85, DOI 10.1016/j.annals.2020.103030
   Li ZY, 2022, CURR ISSUES TOUR, V25, P14, DOI 10.1080/13683500.2020.1863926
   Lin VS, 2022, ANN TOURISM RES, V95, DOI 10.1016/j.annals.2022.103440
   Liu AY, 2017, TOURISM MANAGE, V60, P404, DOI 10.1016/j.tourman.2017.01.001
   [刘海朦 Liu Haimeng], 2023, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V37, P194
   Liu PX, 2019, TOURISM MANAGE, V73, P105, DOI 10.1016/j.tourman.2019.01.021
   Long M. X., 2011, Areal Research and Development, V30, P93
   Lu Y, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103313
   Ministry of Culture and Tourism of the People's Republic of China Wuhan Hubei province, 2022, Cultural industry uptrend, tourism industry accelerated recovery
   Novelli M, 2018, ANN TOURISM RES, V70, P76, DOI 10.1016/j.annals.2018.03.006
   Ntounis N, 2022, CURR ISSUES TOUR, V25, P46, DOI 10.1080/13683500.2021.1883556
   Okafor L, 2022, ANN TOURISM RES, V95, DOI 10.1016/j.annals.2022.103424
   Okafor LE, 2022, CURR ISSUES TOUR, V25, P303, DOI 10.1080/13683500.2021.1956441
   Onyeaka Helen, 2021, Sci Prog, V104, p368504211019854, DOI 10.1177/00368504211019854
   Page S, 2012, J TRAVEL RES, V51, P142, DOI 10.1177/0047287511400754
   Podhorodecka K, 2018, ISL STUD J, V13, P163, DOI 10.24043/isj.43
   Prayag G, 2023, J HOSP TOUR MANAG, V54, P513, DOI 10.1016/j.jhtm.2023.02.006
   Prayag G, 2020, TOUR REV INT, V24, P179, DOI 10.3727/154427220X15926147793595
   Prayag G, 2018, TOUR MANAG PERSPECT, V25, P133, DOI 10.1016/j.tmp.2017.11.012
   Qiang MM, 2022, CURR ISSUES TOUR, V25, P3919, DOI 10.1080/13683500.2022.2067524
   Reddy MV, 2020, ANN TOURISM RES, V84, DOI 10.1016/j.annals.2020.102940
   Romao J, 2020, ANN TOURISM RES, V84, DOI 10.1016/j.annals.2020.102995
   Ruan W., 2018, ECON GEOGR, V38, P214
   Saha S, 2014, J TRAVEL RES, V53, P509, DOI 10.1177/0047287513496472
   Sampath S, 2021, CUREUS J MED SCIENCE, V13, DOI 10.7759/cureus.18136
   Sánchez-Cañizares SM, 2021, CURR ISSUES TOUR, V24, P970, DOI 10.1080/13683500.2020.1829571
   Schäfer P, 2017, INT J HOUS MARK ANAL, V10, P231, DOI 10.1108/IJHMA-05-2016-0031
   Shi WM, 2017, ASIA PAC J TOUR RES, V22, P344, DOI 10.1080/10941665.2016.1250795
   Sigala M, 2020, J BUS RES, V117, P312, DOI 10.1016/j.jbusres.2020.06.015
   Smeral E, 2010, J TRAVEL RES, V49, P31, DOI 10.1177/0047287509353192
   Song HY, 2023, TOURISM MANAGE, V94, DOI 10.1016/j.tourman.2022.104655
   Song HY, 2019, J DESTIN MARK MANAGE, V14, DOI 10.1016/j.jdmm.2019.100385
   Song HY, 2010, ASIA PAC J TOUR RES, V15, P223, DOI 10.1080/10941661003687431
   Song HY, 2010, ANN TOURISM RES, V37, P377, DOI 10.1016/j.annals.2009.10.002
   Statitics Bureau of Wuhan, 2023, About us
   Su ZH, 2020, BMJ GLOB HEALTH, V5, DOI 10.1136/bmjgh-2020-003746
   Sun G.N, 1998, Scientia Geograhica Sinica, P51
   Sun Gennian, 2000, Chinese Geographical Science, V10, P231, DOI 10.1007/s11769-000-0006-9
   Terhorst P, 2019, TIJDSCHR ECON SOC GE, V110, P138, DOI 10.1111/tesg.12343
   Traskevich A, 2023, TOUR PLAN DEV, V20, P12, DOI 10.1080/21568316.2021.1894599
   U SC, 2020, TOUR MANAG PERSPECT, V33, DOI 10.1016/j.tmp.2019.100628
   United Nations Office for Disaster Risk Reduction (UNISDR), 2009, TERM DIS RISK RED
   Wan X.C., 1998, Hum. Geogr., P74
   Wang LE, 2022, TOURISM ECON, V28, P153, DOI 10.1177/13548166211027844
   Wang T, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19095562
   Wang YS, 2009, TOURISM MANAGE, V30, P75, DOI 10.1016/j.tourman.2008.04.010
   Wen J, 2021, TOUR REV, V76, P74, DOI 10.1108/TR-03-2020-0110
   Wilder-Smith Annelies, 2006, Travel Med Infect Dis, V4, P53, DOI 10.1016/j.tmaid.2005.04.004
   Wu DCG, 2017, INT J CONTEMP HOSP M, V29, P507, DOI [10.1108/ijchm-05-2015-0249, 10.1108/IJCHM-05-2015-0249]
   Xiong L., 2022, TRAVEL TOURISM RES A
   Yan Y., 2016, ECON GEOGR, V12, P183, DOI [10.15957/j.cnki.jjdl.2016.12.026, DOI 10.15957/J.CNKI.JJDL.2016.12.026]
   Yang EJ, 2023, TOURISM MANAGE, V95, DOI 10.1016/j.tourman.2022.104661
   Yang TT, 2021, ASIA PAC J TOUR RES, V26, P793, DOI 10.1080/10941665.2021.1919160
   Yang Y, 2014, TOURISM MANAGE, V40, P193, DOI 10.1016/j.tourman.2013.05.005
   Yang Y, 2011, ASIA PAC J TOUR RES, V16, P619, DOI 10.1080/10941665.2011.610144
   Zhai YX, 2022, CURR ISSUES TOUR, V25, P1169, DOI 10.1080/13683500.2021.1972942
   Zhang HY, 2021, ANN TOURISM RES, V87, DOI 10.1016/j.annals.2021.103149
   Zhang K, 2020, ANN TOURISM RES, V84, DOI 10.1016/j.annals.2020.102993
   Zhang M, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102216
   Zhang WT, 2022, J ENVIRON MANAGE, V304, DOI 10.1016/j.jenvman.2021.114217
   Zheng DN, 2021, TOURISM MANAGE, V83, DOI 10.1016/j.tourman.2020.104261
   Zheng WM, 2021, ANN TOURISM RES, V90, DOI 10.1016/j.annals.2021.103271
   [朱鹤 Zhu He], 2015, [自然资源学报, Journal of Natural Resources], V30, P2081
NR 110
TC 2
Z9 2
U1 10
U2 20
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD AUG
PY 2024
VL 110
AR 104614
DI 10.1016/j.ijdrr.2024.104614
EA JUN 2024
PG 15
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA XB5E1
UT WOS:001259228300001
DA 2025-04-22
ER

PT J
AU Rastiemadabadi, A
   Bel, JS
   Marcilla, MP
AF Rastiemadabadi, Ayda
   Bel, Joaquin Sabate
   Marcilla, Melisa Pesoa
TI Reading an adaptable urban form: Exploring the morphological patterns of
   the Iranian traditional bazaar
SO INTERNATIONAL JOURNAL OF URBAN SCIENCES
LA English
DT Article; Early Access
DE Morphological patterns; Iranian traditional bazaar; adaptable urban
   form; traditional urban form; urban heritage
AB In order to keep pace with the speed of the new era, modified patterns from the past can help generate faster and more reliable solutions, along with new ideas in the urban design process. Meanwhile, the urban traditional forms serve as a valuable knowledge source, offering guidance for contemporary designers. Iran's traditional bazaars represent urban complexes with a history dating back to the formation of cities. Endowed with both physical and functional flexibility, these bazaars have grown and evolved, enduring long lives to reach the present age. This article delves into the reasons behind the adaptation ability of these historical urban complexes employing the morphological method. The analysis focuses on the bazaars' structure, anatomy, and diversity. Consequently, the established physical patterns of Iran's traditional bazaars unveil the key to their remarkable resilience against various physical changes over time. The results derived from this research can help better preserve these historical phenomena as they face the threat of isolation every day. Additionally, lessons from these adaptable patterns hold relevance not only for the bazaar's future but also for urban design within the Iranian context and beyond.
C1 [Rastiemadabadi, Ayda; Bel, Joaquin Sabate; Marcilla, Melisa Pesoa] Univ Politecn Cataluna, Dept Urbanism Terr & Landscape, Diagonal 649,Floor 4,Bldg A Segarra Bldg, Barcelona 08028, Spain.
C3 Universitat Politecnica de Catalunya
RP Rastiemadabadi, A (corresponding author), Univ Politecn Cataluna, Dept Urbanism Terr & Landscape, Diagonal 649,Floor 4,Bldg A Segarra Bldg, Barcelona 08028, Spain.
EM ayda.rastiemadabadi@upc.edu
RI Pesoa Marcilla, Melisa/C-1155-2015; SABATE, JOAQUIN/ABM-5050-2022
OI RASTIEMADABADI, AYDA/0009-0005-0065-4906
CR Abaee M, 2022, URBAN MORPHOL, V26, P64, DOI 10.51347/UM26.0004
   Ahmadi V., 2009, Journal of Social Science and Humanities, V4, P30
   aliskan O., 2013, Pattern formation in urbanism: A critical reflection on urban morphology, planning and design
   Ardeshiri M, 2010, Urban identity of shiraz
   Ardeshiri M., 2017, International Journal of Applied Arts Studies (IJAPAS), V1, P79
   Arjomand Kermani A., 2016, International Scholarly and Scientific Research Innovation, V10, P406, DOI [https://doi.org/10.5281/zenodo.1123697, DOI 10.5281/ZENODO.1123697]
   Arjomand Kermani A., 2017, Architecture and the Built Environment, V10, P1, DOI [https://doi.org/10.59490/ABE.2016.10.1190, DOI 10.59490/ABE.2016.10.1190]
   Arjomand Kermani A., 2010, Environment and Development Journal, V6, P64
   Assari A., 2011, International Journal on Technical and Physical Problems of Engineering, V3, P18
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Barnett J, 2009, URBAN DESIGN, P101
   Britannica E., 2023, Encyclopdia Britannica
   Cai J., 2018, Design with forms as well as patterns (Vol. PhD), DOI [https://doi.org/10.7480/abe.2018.30, DOI 10.7480/ABE.2018.30]
   Conzen M.R., 1969, Alnwick, Northumberland: A study in town-plan analysis
   Cozzolino S, 2020, ENVIRON PLAN B-URBAN, V47, P203, DOI 10.1177/2399808319857451
   Edg E., 2012, TRADITIONAL SHOPPING: A syntactic comparison of commercial spaces in Iran and Turkey. Eighth international space syntax symposium
   Europe C. h. a. t. C. o., 2023, K11-Explore heritage as a source of knowledge, inspiration and creativity
   Gallagher R, 2025, J URBAN AFF, V47, P1208, DOI 10.1080/07352166.2023.2211770
   Geddes P., 1915, Cities in Evolution
   Habibi M, 1996, De La Cit La Ville
   Habraken N.J:., 2008, Building Research Information. Volume, V36, P290, DOI DOI 10.1080/09613210801995882
   Haj Ghasem K., 2004, The bazaar buildings, Ganjnameh of Islamic architecture of Iran, V2
   Harteveld M., 2014, Interior Public Space On the Mazes in the Network of an Urbanist Delft
   Imam SH, 2017, OPEN HOUSE INT, V42, P117
   Iranian Cultural Heritage H. a. T. O, 2009, Nomination of properties for inclusion on The world heritage list
   Jangjoo S., 2017, The place of bazaar in the formation of Islamic Iranian cities. Marja
   Karimi K., 1999, The spatial logic of organic cities in Iran and the United Kingdom
   Keshavarzian A, 2006, CAMB MIDDLE E STUD, P1
   Kheirabadi Masoud., 1991, IRANIAN CITIES FORM
   Kostourou F., 2020, Adaptability of the urban form: Mapping changes over time and across scales in the Cit Ouvrire of Mulhouse
   Kropf K., 2018, The handbook of urban morphology
   Lak A., 2017, Soffeh Journal, V27, P109
   Larkham PJ, 2019, ICONARP INT J ARCHIT, V7, P73, DOI 10.15320/ICONARP.2019.78
   Lowndes M., 1988, The Planner, V74, P20
   Macozoma D. S., 2002, DEC M ROTT
   Madanipour A., 1996, DESIGN URBAN SPACE I
   Mashhadizadeh N, 1996, An analysis of urban planning characteristics in Iran
   Mehdipour A., 2013, The Macrotheme Review, V2, P12
   Montoya-Guevara C., 2017, Aleppo's Al-Madina Souq: Post-conflict Reconstruction of its Social Functions
   Moudon A. V., 1994, Ordering space: Types in architecture and design, P285
   Mozafarmoghaddam Yasaman., 2023, Creative City Design, V6, P16
   Muratori Saverio., 1960, STUDI OPERANTE STORI
   Oliveira V., 2018, Urban morphology: An introduction to the study of the physical form of cities
   Pakzad J, 2011, History of Iranian city: From beginning to Qajar Era
   Pevsner Nikolaus., 1976, HIST BUILDING TYPES
   Roosta M, 2022, INT J URBAN SCI, V26, P309, DOI 10.1080/12265934.2021.1911676
   Rossi Aldo., 1984, ARCHITECTURE CITY
   Salingaros N., 1999, Nexus Network Journal, V1, P75, DOI DOI 10.1007/S00004-998-0006-0
   Scheer B.C., 2010, The evolution of urban form: Typology for planners and architects
   Schneider TatjanaJeremy Till., 2005, ARQ-ARCHIT RES Q, V9, P157, DOI [10.1017/S1359135505000199, DOI 10.1017/S1359135505000199]
   Smith ME, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018155118
   Soltanzadeh H, 2001, Iranian bazaars
   Tavassoli M., 1991, Principles and techniques of urban design in Iran
   The Cambridge Dictionary, 2023, The Cambridge Dictionary
   Toretei & SPIN Unit, 2024, UrbanistAI: The GenAI platform for particpatory planning
   Tsahor M, 2023, LAND USE POLICY, V126, DOI 10.1016/j.landusepol.2022.106508
   University of Tehran F. o. F. A, 2009, The Persian bazaar: An attempt to document the traditional bazaar in Iran
   Yadollahi S., 2017, The Iranian bazaar as a public place: A reintegrative approach and a method applied towards the case study of the Tabriz Bazaar
   Yadollahi S., 2016, The influence of commercial modernization on public life in Iranian bazaars
NR 59
TC 0
Z9 0
U1 1
U2 1
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1226-5934
EI 2161-6779
J9 INT J URBAN SCI
JI Int. J. Urban Sci.
PD 2025 JAN 18
PY 2025
DI 10.1080/12265934.2025.2452505
EA JAN 2025
PG 25
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA S6Y5A
UT WOS:001399651600001
DA 2025-04-22
ER

PT J
AU de Tarragon, H
   Theodoraki, C
   Hlady-Rispal, M
   Casteran, G
AF de Tarragon, Hugo
   Theodoraki, Christina
   Hlady-Rispal, Martine
   Casteran, Gauthier
TI Unraveling the Urban Ecosystem: An Ethnographic Study of Logistics
   Service Providers
SO JOURNAL OF SUPPLY CHAIN MANAGEMENT
LA English
DT Article
DE city logistics; ethnographic study; logistics service providers;
   sustainability; urban ecosystem
ID SUSTAINABILITY; ENTREPRENEURSHIP; STAKEHOLDERS; RESILIENCE; CITY
AB Although there is a growing interest in developing sustainable cities, a significant knowledge gap persists regarding the concrete logistics choices necessary to achieve such cities. Grounded in ethnographic research on city logistics, this study examines how logistics service providers (LSPs) navigate sustainability challenges within the urban ecosystem while also meeting the efficiency demands of their business ecosystem. By repositioning LSPs as a sub-ecosystem nested within the broader urban ecosystem, the article demonstrates how LSPs adeptly address the intricacies of the urban environment and respond to pressures from their business ecosystem. This investigation greatly enhances the understanding of the underlying issues affecting city logistics' sustainability. It deepens insight into the concept of city logistics as a sub-ecosystem within the urban ecosystem, highlighting how its sustainability is intertwined with the structure of the urban ecosystem. From a societal perspective, this research conceptualizes city logistics as a business activity and a vital social service that bolsters urban well-being. The findings suggest a need for further research into the role of city logistics actors as key contributors to urban sustainability.
C1 [de Tarragon, Hugo; Hlady-Rispal, Martine; Casteran, Gauthier] CREOP, IAE Limoges, 3 Rue Francois Mitterrand, Limoges, France.
   [Theodoraki, Christina] CERGAM, IAE Aix Marseille Grad Sch Management, Chemin de la Quille, Aix en Provence, France.
RP de Tarragon, H (corresponding author), CREOP, IAE Limoges, 3 Rue Francois Mitterrand, Limoges, France.
EM hugo.de-tarragon@unilim.fr
RI Theodoraki, Christina/Q-8780-2018; Theodoraki, Christina/B-1031-2018
OI Hlady-Rispal, Martine/0000-0003-0335-8801; Theodoraki,
   Christina/0000-0002-1704-5630; Casteran, Gauthier/0000-0002-6452-1855;
   de Tarragon, Hugo/0009-0003-4546-8838
CR Adner R, 2017, J MANAGE, V43, P39, DOI 10.1177/0149206316678451
   Aguilera A., 2018, Reseaux, V212, P23
   Aguinis H, 2019, STRATEGIC MANAGE J, V40, P1291, DOI 10.1002/smj.3015
   Anand N, 2016, TRANSP RES PROC, V16, P4, DOI 10.1016/j.trpro.2016.11.002
   Audretsch DB, 2016, J TECHNOL TRANSFER, V41, P1, DOI [10.1007/s10961-016-9473-8, 10.1007/s10961-014-9381-8]
   Avenier Marie-Jose., 2015, SYST MES DINFORMATIO, V20, P61, DOI [10.3917/sim.151.0061, DOI 10.3917/SIM.151.0061]
   Bask A, 2018, J CLEAN PROD, V172, P2986, DOI 10.1016/j.jclepro.2017.11.112
   Bourke B, 2014, QUAL REP, V19
   Carmagnac L, 2022, MANAGEMENT-FRANCE, V25, P45, DOI 10.37725/mgmt.v25.4235
   Chan Jeffrey Kok Hui, 2022, Socioecol Pract Res, V4, P1, DOI 10.1007/s42532-022-00106-w
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Corlett S., 2018, SAGE HDB QUALITATIVE, DOI DOI 10.4135/9781526430229
   Cornelissen J, 2024, J SUPPLY CHAIN MANAG, V60, P3, DOI 10.1111/jscm.12328
   Coulombel N, 2018, TRANSPORT RES D-TR E, V63, P514, DOI 10.1016/j.trd.2018.06.002
   Dablanc L., 2022, LINFORMATION GOGRAPH, V86, P49, DOI [10.3917/lig.863.0049, DOI 10.3917/LIG.863.0049]
   Darby JL, 2019, INT J LOGIST MANAG, V30, P395, DOI 10.1108/IJLM-07-2018-0187
   Dentoni D, 2018, J BUS ETHICS, V150, P333, DOI 10.1007/s10551-018-3858-6
   George G, 2016, ACAD MANAGE J, V59, P1880, DOI 10.5465/amj.2016.4007
   Glaeser EL, 2022, URBAN STUD, V59, P3, DOI 10.1177/00420980211052230
   Govindan K, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123075
   Gruchmann T, 2018, LOGISTICS-BASEL, V2, DOI 10.3390/logistics2040025
   Hlady-Rispal M, 2021, J SMALL BUS MANAGE, V59, P887, DOI 10.1080/00472778.2020.1865541
   Huang H, 2023, NEW TECH WORK EMPLOY, V38, P185, DOI 10.1111/ntwe.12228
   Husserl Edmund, 1970, CRISIS EUROPEAN SCI, DOI DOI 10.3389/FPSYT.2018.00466
   Imre S, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102794
   Jones C., 2017, RES SOCIOLOGY ORG, V54B, P42, DOI [https://doi.org/10.1108/S0733-558X2017000054B007, DOI 10.1108/S0733-558X2017000054B007]
   Kapoor R, 2018, J ORGAN DES, V7, DOI 10.1186/s41469-018-0035-4
   Kim S, 2022, J SUPPLY CHAIN MANAG, V58, P90, DOI 10.1111/jscm.12285
   Lagorio A, 2017, IFAC PAPERSONLINE, V50, P7284, DOI 10.1016/j.ifacol.2017.08.1402
   Leixnering S, 2022, URBAN STUD, V59, P1300, DOI 10.1177/0042098021998923
   Li F, 2017, J CLEAN PROD, V163, pS12, DOI 10.1016/j.jclepro.2016.02.079
   Lin Y, 2023, INT J OPER PROD MAN, V43, P140, DOI 10.1108/IJOPM-03-2022-0180
   Liu HK, 2020, IND MARKET MANAG, V89, P517, DOI 10.1016/j.indmarman.2020.03.011
   Lönngren J, 2021, INT J SUST DEV WORLD, V28, P481, DOI 10.1080/13504509.2020.1859415
   Marciani M, 2016, TRANSP RES PROC, V16, P343, DOI 10.1016/j.trpro.2016.11.033
   Mareï N, 2021, TRANSPORT POLICY, V100, P150, DOI 10.1016/j.tranpol.2020.11.001
   McPhearson T, 2022, ONE EARTH, V5, P505, DOI 10.1016/j.oneear.2022.04.007
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mees-Buss J, 2022, ORGAN RES METHODS, V25, P405, DOI 10.1177/1094428120967716
   Montabon F, 2016, J SUPPLY CHAIN MANAG, V52, P11, DOI 10.1111/jscm.12103
   Muñuzuri J, 2016, TRANSP RES PROC, V12, P93, DOI 10.1016/j.trpro.2016.02.050
   Neghabadi PD, 2019, INT J PROD RES, V57, P865, DOI 10.1080/00207543.2018.1489153
   NEWCOMBE K, 1978, AMBIO, V7, P3
   Preiser R, 2018, ECOL SOC, V23, DOI 10.5751/ES-10558-230446
   Przybylska E, 2023, RES TRANSP BUS MANAG, V49, DOI 10.1016/j.rtbm.2023.101009
   Reich JA, 2021, QUAL SOCIOL, V44, P575, DOI 10.1007/s11133-021-09500-4
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rockmann KW, 2024, ORGAN RES METHODS, V27, P621, DOI 10.1177/10944281231210558
   Rodrigues MIRPR, 2023, ANN OPER RES, DOI 10.1007/s10479-023-05406-2
   Sarkis J, 2019, INT J PROD ECON, V217, P1, DOI 10.1016/j.ijpe.2019.09.014
   Shirgholami Z, 2024, J SUPPLY CHAIN MANAG, V60, P59, DOI 10.1111/jscm.12321
   Strale M, 2019, TRANSPORT RES A-POL, V130, P745, DOI 10.1016/j.tra.2019.10.002
   Tan PY, 2020, LANDSCAPE URBAN PLAN, V200, DOI 10.1016/j.landurbplan.2020.103837
   Taniguchi E., 2015, GREEN LOGISTICS TRAN, V4, DOI [10.1007/978-3-319-17181-44, DOI 10.1007/978-3-319-17181-44]
   Theodoraki Christina, 2017, International Journal of Entrepreneurship and Small Business, V31, P47
   Theodoraki C, 2024, FOUND TRENDS ENTREP, V20, P384, DOI 10.1561/0300000128
   Theodoraki C, 2022, J BUS RES, V140, P346, DOI 10.1016/j.jbusres.2021.11.005
   Touboulic A, 2020, J SUPPLY CHAIN MANAG, V56, P36, DOI 10.1111/jscm.12226
   van Maanen J, 2011, J MANAGE STUD, V48, P218, DOI 10.1111/j.1467-6486.2010.00980.x
   Wieland A, 2024, J SUPPLY CHAIN MANAG, V60, P3, DOI 10.1111/jscm.12315
   Wieland A, 2021, J SUPPLY CHAIN MANAG, V57, P58, DOI 10.1111/jscm.12248
   Wolf C, 2010, INT J PHYS DISTR LOG, V40, P84, DOI 10.1108/09600031011020377
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P209, DOI 10.1016/j.landurbplan.2014.01.018
   Zahra SA, 2012, BUS HORIZONS, V55, P219, DOI 10.1016/j.bushor.2011.12.004
   Zenezini G., 2018, City Logistics 2, P39, DOI [10.1002/9781119425526.ch3, DOI 10.1002/9781119425526.CH3]
   Zilber TB, 2022, ORGAN RES METHODS, V25, P371, DOI 10.1177/1094428120944468
NR 67
TC 0
Z9 0
U1 14
U2 16
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1523-2409
EI 1745-493X
J9 J SUPPLY CHAIN MANAG
JI J. Supply Chain Manag.
PD OCT
PY 2024
VL 60
IS 4
BP 75
EP 91
DI 10.1111/jscm.12333
EA SEP 2024
PG 17
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA J9Q5M
UT WOS:001319820700001
OA hybrid
DA 2025-04-22
ER

PT J
AU Taminiau, J
   Byrne, J
AF Taminiau, Job
   Byrne, John
TI City-scale urban sustainability: Spatiotemporal mapping of distributed
   solar power for New York City
SO WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
LA English
DT Review
DE climate change; climate governance; energy infrastructure; GIS;
   polycentricity; rooftop solar; solar city; sustainability; urban energy;
   urban energy metabolism
ID GOOGLE STREET VIEW; BUILDING ENERGY-CONSUMPTION; CLIMATE; RESOLUTION;
   CITIES; PANEL; HEAT; CURTAILMENT; GENERATION; DEPLOYMENT
AB Research into urban sustainability increasingly deploys advanced analytics and large-scale data to investigate possible sustainable energy options. This paper reviews several available data-driven approaches that answer urban sustainability questions. One such approach is applied to identify energy consumption and rooftop photovoltaic (PV) generation potential in New York City at the electricity network level with the objective of improving the city's resilience to expected impacts of climate change. Electric system resilience is, in part, dependent on the spatial and temporal distribution of consumption and potential sustainable energy generation which is investigated here by separating the city into 68 electricity networks and evaluating their generation-consumption interaction pattern. The analysis reveals that New York City could be home to about 10 GWp of rooftop solar installations-sufficient to cover approximately 25% of annual city electricity consumption and 53% of daylight hour consumption. Localized electricity import-export dimensions are explored for each of the 68 electricity networks and we identify an excess 3.1 TWh electricity supply per year if the entire technical potential of rooftop solar PV is deployed. This excess electricity supply is roughly equivalent to an annual $734 million value which could benefit low-income areas in the city.
   This article is categorized under:
   Energy Infrastructure >= Economics and Policy
   Photovoltaics >= Systems and Infrastructure
   Energy Infrastructure >= Systems and Infrastructure
   Photovoltaics >= Economics and Policy
C1 [Taminiau, Job; Byrne, John] FREE, 630 5th Ave,Suite 2000, New York, NY 10111 USA.
   [Byrne, John] Univ Delaware, CEEP, Newark, DE USA.
   [Byrne, John] Lawrence Berkeley Natl Lab, Int Energy Anal Dept, Berkeley, CA USA.
C3 University of Delaware; United States Department of Energy (DOE);
   Lawrence Berkeley National Laboratory
RP Taminiau, J (corresponding author), FREE, 630 5th Ave,Suite 2000, New York, NY 10111 USA.
EM jt@freefutures.org
OI Taminiau, Job/0000-0002-1535-3517; Byrne, John/0000-0001-5626-0950
CR Adam K, 2016, CITIES, V54, P45, DOI 10.1016/j.cities.2015.10.015
   Adriano B, 2018, INT GEOSCI REMOTE SE, P870, DOI 10.1109/IGARSS.2018.8517933
   Adriano B, 2015, INT GEOSCI REMOTE SE, P3579, DOI 10.1109/IGARSS.2015.7326595
   Anderson KH, 2010, IEEE PHOT SPEC CONF, P1085, DOI 10.1109/PVSC.2010.5614697
   Anjomshoaa A, 2018, IEEE INTERNET THINGS, V5, P4567, DOI 10.1109/JIOT.2018.2839058
   [Anonymous], 2019, ANN NY ACAD SCI, V1439, P306, DOI 10.1111/nyas.14032
   [Anonymous], 2016, UNNATURAL COASTAL FL
   [Anonymous], 2016, Reuters
   [Anonymous], 2016, BOUND-LAY METEOROL, DOI DOI 10.1007/s10546-016-0160-y
   [Anonymous], 2018, A Scan of Municipal Financial Capability Efforts
   [Anonymous], 2016, Mayor De Blasio and FEMA Announce Plan to Revise NYCs Flood Maps
   Apte JS, 2017, ENVIRON SCI TECHNOL, V51, P6999, DOI 10.1021/acs.est.7b00891
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Bataille C, 2016, CLIM POLICY, V16, pS7, DOI 10.1080/14693062.2016.1173005
   Bautista E., 2019, ENV LAW NEW YORK, V30, P1
   Bhatt V., 2012, LONGTERM ENERGY EMIS, DOI [10.2172/1113715, DOI 10.2172/1113715]
   Bird L, 2016, RENEW SUST ENERG REV, V65, P577, DOI 10.1016/j.rser.2016.06.082
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Byrne J., 2018, UTILIZING URBAN FABR, DOI [10.1016/B978-0-08-102074-6.00016-4, DOI 10.1016/B978-0-08-102074-6.00016-4]
   Byrne J, 2017, INT J URBAN SCI, V21, P239, DOI 10.1080/12265934.2017.1331750
   Byrne J, 2016, WIRES ENERGY ENVIRON, V5, P68, DOI 10.1002/wene.182
   Chen YX, 2017, APPL ENERG, V205, P323, DOI 10.1016/j.apenergy.2017.07.128
   Chow A, 2016, INT J GREEN ENERGY, V13, P1090, DOI 10.1080/15435075.2016.1170686
   City of New York, 2013, PLANYC STRONG MOR RE
   City of New York, 2017, 1 5 C AL NEW YORK CI
   DiSavino Scott, 2013, Reuters
   Dobler G, 2016, SENSORS-BASEL, V16, DOI 10.3390/s16122047
   Erker T, 2019, REMOTE SENS ENVIRON, V229, P148, DOI 10.1016/j.rse.2019.03.037
   Fan C, 2014, APPL ENERG, V127, P1, DOI 10.1016/j.apenergy.2014.04.016
   Feng X, 2018, LEUKOS, V14, P13, DOI 10.1080/15502724.2017.1321486
   Gagnon P, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa554
   Garnett R, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7050161
   Gebru T, 2017, P NATL ACAD SCI USA, V114, P13108, DOI 10.1073/pnas.1700035114
   Ghandehari M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-19846-5
   Ghandehari M, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02390-z
   Gilani S. A. N., 2016, REMOTE SENSING, V8, P1
   Goel R, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196521
   Google Sunroof Project, GOOGL SUNR PROJ MAT
   Gornitz V, 2019, ANN NY ACAD SCI, V1439, P71, DOI 10.1111/nyas.14006
   Governor Andrew Cuomo, 2019, GOV CUOM ANN PROP RE
   GreenTechMedia, 2019, NEW YORK APPR 316MW
   Hale T, 2016, GLOBAL ENVIRON POLIT, V16, P12, DOI 10.1162/GLEP_a_00362
   Hankyoreh, 2017, SOL CIT SEOUL AIMS P
   Hebbalaguppe R, 2017, IEEE WINT CONF APPL, P725, DOI 10.1109/WACV.2017.86
   Hoff T., 2008, SHINING BIG APPLE SA
   Hong T., 2016, Urban Comput, V1, DOI DOI 10.1145/12345.67890
   Hong TZ, 2014, APPL ENERG, V126, P90, DOI 10.1016/j.apenergy.2014.03.052
   Howard B, 2012, ENERG BUILDINGS, V45, P141, DOI 10.1016/j.enbuild.2011.10.061
   Howard B, 2014, ENERG POLICY, V65, P444, DOI 10.1016/j.enpol.2013.10.033
   Hsu D, 2015, APPL ENERG, V160, P153, DOI 10.1016/j.apenergy.2015.08.126
   Hu YT, 2016, UBICOMP'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, P1147, DOI 10.1145/2971648.2971674
   IRENA-International Renewable Energy Agency, 2018, REN EN JOBS ANN REV
   John, 2019, NEW YORK CITY SET PA
   Juniper Research, 2018, RES REPORT
   Kar J, 2015, REMOTE SENS ENVIRON, V169, P205, DOI 10.1016/j.rse.2015.08.009
   Kona A, 2018, SUSTAIN CITIES SOC, V41, P568, DOI 10.1016/j.scs.2018.05.017
   Kontokosta CE, 2017, APPL ENERG, V197, P303, DOI 10.1016/j.apenergy.2017.04.005
   Kouhestani FM, 2019, INT J ENERGY ENVIR E, V10, P13, DOI 10.1007/s40095-018-0289-1
   Kravitz D., 2013, WALL STREET J
   Li XJ, 2017, LECT NOTES GEOINF CA, P341, DOI 10.1007/978-3-319-57336-6_24
   Lin Y., 2018, PUBLIC POLICY TRANSM
   Lingfors D., 2018, 8 INT WORKSH INT SOL
   Litjens GBMA, 2018, SOL ENERGY, V174, P1185, DOI 10.1016/j.solener.2018.09.055
   Liu W, 2016, J DISASTER RES, V11, P236, DOI 10.20965/jdr.2016.p0236
   Lovins A.B., 1982, Brittle power: Energy strategy for national security
   Lovins A.B., 1977, Soft energy paths: Toward a durable peace
   Margolis R, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7225
   Melius J., 2013, ESTIMATING ROOFTOP S, DOI [10.2172/1117057, DOI 10.2172/1117057]
   Meng T, 2017, ENERGY, V133, P415, DOI 10.1016/j.energy.2017.05.148
   Miao X, 2013, PHOTOGRAMM ENG REM S, V79, P545, DOI 10.14358/PERS.79.6.545
   Najafizadeh L, 2018, ASSETS'18: PROCEEDINGS OF THE 20TH INTERNATIONAL ACM SIGACCESS CONFERENCE ON COMPUTERS AND ACCESSIBILITY, P340, DOI 10.1145/3234695.3240999
   New York State Department of Environmental Conservation, 2019, PROP SUBP  227 3 OZ
   NY ISO, 2014, NYISO SCR BAS STUD
   NY ISO, 2018, 2018 LOAD CAP DAT GO
   NY ISO, 2017, 2017 POW TRENDS NEW
   NY ISO, 2017, 2016 COMPR REL PLAN
   Nyangon & Byrne, 2018, DIV EL CUST CHOIC RE
   NYC, 2016, SOL 100 NEW YORK CIT
   NYC, 2016, NEW YORK CIT ROADM 8
   NYC, 2016, NEW YORK NAM 2016 BE
   NYC, 2019, ANN GHG EM INV
   NYC, 2014, ON CIT BUILT LAST
   NYC Council, 2019, COUNC VOT CLIM MOB A
   NYC Councilmatic, 2019, INTR 1253 2018
   NYC Health, 2011, AIR POLL HLTH NEW YO
   NYC Health, 2019, NEW YORK CIT COMM AI
   NYSERDA, 2019, NYSERDA ANN DET 1 5
   Olivo Y, 2017, ENERGY, V141, P1393, DOI 10.1016/j.energy.2017.11.066
   Open Data Census, DAT ACC ARCH RANK OP
   Ortiz L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad8d0
   Patrick L, 2019, ANN NY ACAD SCI, V1439, P115, DOI 10.1111/nyas.14015
   Perez M, 2019, SOL ENERGY, V180, P412, DOI 10.1016/j.solener.2018.12.074
   PEREZ R, 1993, IEEE PHOT SPEC CONF, P1146, DOI 10.1109/PVSC.1993.346962
   Perez R., 2012, P WORLD REN EN FOR
   Perez R., 2004, P AM SOLAR ENERGY SO
   Perez R., 2005, SOLAR TODAY, V19, P32
   Perez R., 2001, P AM SOL EN SOC ANN
   Perez R, 2016, ENERG POLICY, V96, P27, DOI 10.1016/j.enpol.2016.05.016
   Perez R, 2011, ENERG POLICY, V39, P7290, DOI 10.1016/j.enpol.2011.08.052
   Ramirez Camargo L, 2015, COMPUT ENVIRON URBAN, V52, P58, DOI 10.1016/j.compenvurbsys.2015.03.002
   Reddy KRO, 2019, ATMOS RES, V218, P117, DOI 10.1016/j.atmosres.2018.11.011
   Reinhart CF, 2016, BUILD ENVIRON, V97, P196, DOI 10.1016/j.buildenv.2015.12.001
   Ribeiro David., 2019, The 2019 City Clean Energy Scorecard
   Robinson C, 2017, APPL ENERG, V208, P889, DOI 10.1016/j.apenergy.2017.09.060
   Roelfsema M, 2018, GLOBAL ENVIRON CHANG, V48, P67, DOI 10.1016/j.gloenvcha.2017.11.001
   Rosenthal JK, 2014, HEALTH PLACE, V30, P45, DOI 10.1016/j.healthplace.2014.07.014
   Rosenzweig C., 2019, ANN NY ACAD SCI, P1439
   Rundle AG, 2011, AM J PREV MED, V40, P94, DOI 10.1016/j.amepre.2010.09.034
   Santillan JR, 2016, INT GEOSCI REMOTE SE, P7585, DOI 10.1109/IGARSS.2016.7730978
   Shahrokni H, 2014, ENERG BUILDINGS, V78, P153, DOI 10.1016/j.enbuild.2014.04.017
   Smith A. B., 2019, 2018S BILLION DOLLAR
   Strategen Research, 2017, NEW YORK CIT AG POW
   Stringer S.M., 2014, A Green Bond Program for New York City
   Teale, 2019, NYC PASS SWEEP CLIM
   Tooke TR, 2014, ENERG BUILDINGS, V68, P603, DOI 10.1016/j.enbuild.2013.10.004
   Torii Akihiko, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, P2188, DOI 10.1109/ICCVW.2009.5457551
   Trabish Herman K., 2017, Uptown Funk: Where will NYC Get Its Peak Demand Capacity?
   Waite M, 2014, APPL ENERG, V135, P634, DOI 10.1016/j.apenergy.2014.04.059
   Wu YH, 2019, ATMOS ENVIRON, V218, DOI 10.1016/j.atmosenv.2019.117024
   Yin L, 2015, APPL GEOGR, V63, P337, DOI 10.1016/j.apgeog.2015.07.010
   Yin S., 2017, P 18 INT WORKSH MOB, P79
   Zimmerman R, 2019, ANN NY ACAD SCI, V1439, P174, DOI 10.1111/nyas.14010
NR 123
TC 15
Z9 15
U1 2
U2 74
PU WILEY PERIODICALS, INC
PI SAN FRANCISCO
PA ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, CA 94104 USA
SN 2041-8396
EI 2041-840X
J9 WIRES ENERGY ENVIRON
JI Wiley Interdiscip. Rev. Energy Environ.
PD SEP
PY 2020
VL 9
IS 5
AR e374
DI 10.1002/wene.374
EA APR 2020
PG 24
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Energy & Fuels
GA NE6PZ
UT WOS:000526984300001
DA 2025-04-22
ER

PT J
AU Sassen, S
   Kourtit, K
AF Sassen, Saskia
   Kourtit, Karima
TI A Post-Corona Perspective for Smart Cities: 'Should I Stay or Should
   I Go?'
SO SUSTAINABILITY
LA English
DT Article
DE smart cities; happy and healthy citizens; new urban world; resilience;
   intelligent transformation; COVID-19; data analytics
ID PLACE ATTACHMENT; CITIZEN SCIENCE; HAPPINESS; SUSTAINABILITY; CITY
AB This exploratory essay aims to provide a reflection on the possible implications of the COVID-19 pandemic for urban development and to sketch a plausible picture of the urban future. It serves as an introductory contribution to the Special Issue of this journal on 'happy and healthy cities', with particular emphasis on the implications of COVID-19 in pluriform cities. There is no doubt that contemporary cities are growing, and have become more dynamic and crowded. The more people, the bigger the challenges are to manage urban growth and to cope with-and control-density frictions, such as pandemics (e.g., COVID-19). Cities have the task to satisfy the essential needs of many heterogeneous people and to develop appropriate people-based strategies in order to make or keep people happy and healthy. The current COVID-19 disaster is a real urban challenge. The deployment of smart cities' strategies and the use of digital technology tools in order to capture and provide intelligent internal and external online information and communication opportunities may help cities-in active partnership with their residents ('smart citizens' voice')-to manage shocks and disruptions in the urban system. Clearly, cities are dynamic and adaptive organisms with a high resilience capacity. A key question addressed in this paper is whether urban inhabitants may be inclined to move out of the city due to human health threats, or whether intelligent digital technology tools will be able to overcome the current challenges to the 'urban way of life'. The paper argues that modern information and communication technology offers a range of opportunities for a healthy city life, so that the COVID-19 pandemic will most likely not lead to a massive demographic outflow from urban agglomerations to less densely populated areas in particular rural areas. Instead, what is called the 'corona crisis' may cause just a ripple in the permanent dynamic evolution of cities.
C1 [Sassen, Saskia] Columbia Univ, Dept Sociol, New York, NY 10025 USA.
   [Kourtit, Karima] Open Univ Netherlands, Fac Management, NL-6411 Heerlen, Netherlands.
   [Kourtit, Karima] Alexandru Ioan Cuza Univ, Ctr European Studies, Iasi 700506, Romania.
   [Kourtit, Karima] Univ Technol UM6P, Sch Architecture Planning & Design, Benguerir 43155, Morocco.
C3 Columbia University; Open University Netherlands; Alexandru Ioan Cuza
   University
RP Kourtit, K (corresponding author), Open Univ Netherlands, Fac Management, NL-6411 Heerlen, Netherlands.; Kourtit, K (corresponding author), Alexandru Ioan Cuza Univ, Ctr European Studies, Iasi 700506, Romania.; Kourtit, K (corresponding author), Univ Technol UM6P, Sch Architecture Planning & Design, Benguerir 43155, Morocco.
EM sjs2@columbia.edu; k_kourtit@hotmail.com
RI karima, karima/AAH-3200-2019
OI kourtit, karima/0000-0002-7171-994X
FU Axel och Margaret Ax:son Johnsons Stiftelse, Sweden; Romanian Ministry
   of Research and Innovation, CNCS-UEFISCDI within the PNCDI III "project
   ReGrowEU-Advancing ground-breaking research in regional growth and
   development theories, through a resilience approach: towards a
   convergent, balanced and sustainable [PN-III-P4-ID-PCCF-2016-0166]
FX Karima Kourtit acknowledges the grant from the Axel och Margaret Ax:son
   Johnsons Stiftelse, Sweden. Karima Kourtit also acknowledges the grant
   from the Romanian Ministry of Research and Innovation, CNCS-UEFISCDI,
   project number PN-III-P4-ID-PCCF-2016-0166, within the PNCDI III"
   project ReGrowEU-Advancing ground-breaking research in regional growth
   and development theories, through a resilience approach: towards a
   convergent, balanced and sustainable European Union (Iasi, Romania).
CR [Anonymous], 2011, The power of place: a new dimension for sustainable development
   Arefi M, 2014, ROUT RES PLAN URB, P1
   Arrigo U., 2004, P 16 C SOC IT EC PUB
   Banica A, 2020, REV REG RES, V40, P223, DOI 10.1007/s10037-020-00141-8
   BATTY M, 2013, NEW SCI CITY
   Biswas-Diener R., 2008, SCI SUBJECTIVE WELL, P307
   Bonney R, 2009, BIOSCIENCE, V59, P977, DOI 10.1525/bio.2009.59.11.9
   Barufi AMB, 2015, NEW HORIZ REG SCI, P33
   Borsekova K, 2019, NEW HORIZ REG SCI, P1, DOI 10.4337/9781788970105
   Branchini S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131812
   Briskin A., 1998, The stirring of soul in the workplace
   Buettner D, 2020, J HAPPINESS STUD, V21, P2789, DOI 10.1007/s10902-019-00199-3
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Carmona MatthewTim Heath., 2010, PUBLIC PLACES URBAN
   Casakin H, 2015, CITIES, V42, P224, DOI 10.1016/j.cities.2014.07.007
   Combes PP, 2012, ECONOMETRICA, V80, P2543, DOI 10.3982/ECTA8442
   Couclelis H, 2020, ENVIRON PLAN B-URBAN, V47, P1121, DOI 10.1177/2399808320948657
   Craglia M, 2012, INT J DIGIT EARTH, V5, P398, DOI 10.1080/17538947.2012.712273
   Craglia Max., 2014, Citizen Science and Smart Cities
   Crall AW, 2011, CONSERV LETT, V4, P433, DOI 10.1111/j.1755-263X.2011.00196.x
   Deaton A., 2015, GREAT ESCAPE HLTH WE
   Devine-Wright P, 2013, GLOBAL ENVIRON CHANG, V23, P61, DOI 10.1016/j.gloenvcha.2012.08.003
   Dickinson J.L., 2012, CITIZEN SCI PUBLIC P
   Diener E, 2004, ADV CELL AGING GERON, V15, P187
   Diener E, 2000, AM PSYCHOL, V55, P34, DOI 10.1037/0003-066X.55.1.34
   Donovan M., EPIC ADV VALUE ETHNO
   Duranton G, 2003, Handbook of regional and urban economics, V9931, P3, DOI [DOI 10.1016/S1574-0080(04)80005-1, 10.3386/w9931]
   Easterlin RA, 2010, P NATL ACAD SCI USA, V107, P22463, DOI 10.1073/pnas.1015962107
   Florida R., 2017, NEW URBAN CRISIS OUR
   Florida R, 2013, REG STUD, V47, P613, DOI 10.1080/00343404.2011.589830
   Frey B., 2007, Jahrbuch Oko-logische Okonomik. Soziale Nachhaltigkeit, P219
   Frey B.S., 2002, Happiness and economics
   Frost P.J., 1991, RATIONAL MANAGEMENT
   Fusco L.G., 2013, SUSTAINABILITY-BASEL, V6, P4580
   Gardoni P., 2008, INT J SUSTAINABLE DE, V3, P317, DOI DOI 10.2495/SDP-V3-N4-317-333
   Gehl J., 1987, Life Between Buildings-Using Public Space
   Ghavampour E, 2019, URBAN PLAN, V4, P196, DOI 10.17645/up.v4i2.2015
   Glaeser E., 2020, URBAN EMPIRES
   Glaeser EL, 2013, J ECON SOCIOL, V14, P75, DOI 10.17323/1726-3247-2013-4-75-94
   Wahlström MH, 2020, PUBLIC MANAG REV, V22, P687, DOI 10.1080/14719037.2020.1718190
   Helliwell J. F., 2017, World Happiness Rep, V8, P8
   Hollands R., 2009, CITY, V12, P303, DOI [DOI 10.1080/13604810802479126, 10.1080/13604810802479126]
   Jacobs Jane, 1961, DEATH LIFE GREAT AM
   Jacobs Jane., 1996, EDGE EMPIRE POSTCOLO, DOI 10.1080/07315724.1994.10738223
   Kahneman D, 2006, J ECON PERSPECT, V20, P3, DOI 10.1257/089533006776526030
   Kalandides A, 2018, J PLACE MANAG DEV, V11, P152, DOI 10.1108/JPMD-02-2018-0017
   KIRK W, 1963, GEOGRAPHY, V48, P357
   Kitchin R., DATA DRIVEN NETWORKE
   Koglin T., 2009, SUSTAINABLE DEV GEN, V248
   Kourtit K, 2015, NEW HORIZ REG SCI, P1, DOI 10.4337/9781783475360
   Kourtit K., 2019, The New Urban World
   KOURTIT K, 2021, EC GEOGRAPHY CROSS B
   Kourtit K, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2020.104734
   전미르, 2014, The Korean Journal of Policy Studies, V29, P43
   Leinberger ChristopherB., 2007, FOOTLOOSE FANCY FREE
   Lynch K., 1960, IMAGE CITY
   Marans R. W.., 2011, Investigating quality of urban life: Theory, methods, and empirical research, V45
   Marlet G., 2017, ATLAS GEMEENTEN
   Marsden T, 2013, SUSTAIN SCI, V8, P213, DOI 10.1007/s11625-012-0186-0
   Marshall N., 1890, PRINCIPLES EC
   Mason R., 1977, PSYCHOL PLACE
   Meijer A., 2016, Smarter as the New Urban Agenda, P73, DOI DOI 10.1007/978-3-319-17620-8_4
   Melitz MJ, 2008, REV ECON STUD, V75, P295, DOI 10.1111/j.1467-937X.2007.00463.x
   Melo PC, 2009, REG SCI URBAN ECON, V39, P332, DOI 10.1016/j.regsciurbeco.2008.12.002
   Miao J., 2010, ISCRAM 2010 7 INT C
   Montgomery C., 2013, HAPPY CITY TRANSFORM, VFirst
   Montgomery J., 1998, J. Urban Des, V3, P93, DOI DOI 10.1080/13574809808724418
   Neal Z., 2021, INT HDB CITIES NETWO, P273
   Neal Z.P., 2012, CONNECTED CITY
   Nijkamp P., 2017, REGIONAL URBAN EC, P305
   Nijkamp P., 2013, INT J SUSTAIN DEV, V13, P2
   Nijkamp P., 2008, Rom. J. Reg. Sci, V2, P325
   Nijkamp P, 2016, INVESTIG REG, P191
   Pierre Jon., 2011, POLITICS URBAN GOVER
   Pleeging E, 2021, J HAPPINESS STUD, V22, P2075, DOI 10.1007/s10902-020-00309-6
   Quigley J.M., 2008, Urbanization, agglomeration, and economic development
   Rapoport Amos., 1982, The Meaning of the Built Environment: A Nonverbal Communication Approach
   Robeyns I., 2023, Stanford encyclopedia of philosophy
   Rodríguez-Pose A, 2018, CAMB J REG ECON SOC, V11, P189, DOI 10.1093/cjres/rsx024
   Roessler J, 2021, J COMPUT SOC SCI, V4, P123, DOI 10.1007/s42001-020-00069-6
   Rosenthal S.S., 2004, HDB REGIONAL URBAN E, V4, P2119, DOI 10.1016/S1574-0080(04)80006-3
   Saskia Sassen., 2005, Globalizations, V2, P79
   Sassen S., 2019, CENTURY GLOBAL CITIE, P9
   Sassen S., 2008, CHALLENGES FACING GL
   Sassen S., 2005, Brown Journal of World Affairs, V11, P27
   Sassen S, 2012, EUR EDUC RES J, V11, P1, DOI 10.2304/eerj.2012.11.1.1
   Sassen Saskia, 1991, GLOBAL CITY
   Schneekloth L., 1995, Placemaking: The Art and Practice of Building Communities
   Sen A., 2012, QUALITY LIFE, P30
   Sen A., 1980, Tanner Lectures on Human Values, P195
   Shaban A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072941
   Smith A., 1976, INQUIRY NATURE CAUSE
   Stiglitz J.E., 2006, Making globalization work
   Sudjic Deyan., 2016, The Language of Cities
   Tellier L., 2017, WORLD URBAN HIST
   Tellier LN, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2020.104672
   Toger M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13074027
   Um S.T., 2013, WHY CITIES MATTER WH
   UN Habitat, 2016, CIT WE NEED
   van Wessel M, 2017, POLIT STUD-LONDON, V65, P127, DOI 10.1177/0032321716638670
   Vaz E, 2015, LAND USE POLICY, V46, P232, DOI 10.1016/j.landusepol.2015.02.014
   Vaz E, 2015, HABITAT INT, V45, P71, DOI 10.1016/j.habitatint.2014.06.029
   Voukelatou V, 2021, INT J DATA SCI ANAL, V11, P279, DOI 10.1007/s41060-020-00224-2
   Ward Barbara., 1976, HOME MAN
   Warnick M., 2016, This is where you belong: Finding home wherever you are
   Westin K, 2016, POPUL SPACE PLACE, V22, P722, DOI 10.1002/psp.1949
   Whyte W. H., SOCIAL LIFE SMALL UR
   Zenker S, 2014, CITIES, V38, P11, DOI 10.1016/j.cities.2013.12.009
NR 108
TC 27
Z9 27
U1 3
U2 37
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2021
VL 13
IS 17
AR 9988
DI 10.3390/su13179988
PG 15
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA UO1DJ
UT WOS:000694442500001
OA gold
DA 2025-04-22
ER

PT J
AU Hu, J
   Wen, WP
   Zhai, CH
   Pei, SS
AF Hu, Jie
   Wen, Weiping
   Zhai, Changhai
   Pei, Shunshun
TI Surrogate-based decision-making for post-earthquake recovery scheduling
   and resilience assessment of subway systems considering the effect of
   infrastructure interdependency
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Subway system; Urban rail transit; Surrogate model; Infrastructure
   interdependency; Resilience
ID RAIL TRANSIT NETWORKS; TRANSPORTATION NETWORK; STRATEGY; METRO
AB This study proposes a method for post-earthquake recovery and seismic resilience assessment of subway systems considering the effect of infrastructure interdependency. A two-stage recovery decision-making model is established. In the pre-earthquake stage, reserved restoration resources are determined by balancing recovery speed and recovery efficiency. In the post-earthquake stage, the optimal restoration schedules are obtained by solving the established functional recovery optimization model using the NSGA-II. A deep learning-based surrogate model for functionality computation is developed to significantly reduce the computational costs in the recovery decision-making and optimization process. A seismic resilience assessment and recovery decisionmaking process is conducted for a real, large-scale subway system. The results indicate that the subway system exhibits high recovery efficiency in its early-stage recovery and a high level of seismic resilience. The study highlights the significant impact of the municipal power supply system (MPSS) as a critical infrastructure system. The recovery time affected by the MPSS accounts for more than 33% of the total recovery time of the subway system. Ignoring the impact of the MPSS led to an average 12.13% underestimation of the center of resilience. These results underscore the substantial influence of the MPSS on the recovery and seismic resilience of subway systems.
C1 [Hu, Jie; Wen, Weiping; Zhai, Changhai; Pei, Shunshun] Harbin Inst Technol, Key Lab Struct Dynam Behav & Control, Minist Educ, Harbin 150090, Peoples R China.
   [Hu, Jie; Wen, Weiping; Zhai, Changhai; Pei, Shunshun] Harbin Inst Technol, Minist Ind & Informat Technol, Key Lab Smart Prevent & Mitigat Civil Engn Disaste, Harbin 150090, Peoples R China.
C3 Harbin Institute of Technology; Harbin Institute of Technology
RP Wen, WP (corresponding author), Harbin Inst Technol, Sch Civil Engn, Harbin 150090, Peoples R China.
EM wenweiping@hit.edu.cn
RI Pei, Shunshun/IYJ-0085-2023
OI Pei, Shunshun/0000-0002-2792-441X
FU National Natural Science Foundation of China [52178469, 52222811,
   51825801]; Fundamental Research Funds for the Central Universities
FX This investigation is supported by the National Natural Science
   Foundation of China (No. 52178469, 52222811, and 51825801) , the
   Fundamental Research Funds for the Central Universities (No. HIT.
   BRET.2022010) . These supports are greatly appreciated.
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   [Anonymous], Association of American Medical Colleges (AAMC), https://www.aamc.org/data/workforce/reports/492566/1-6-chart.html, Accessed 5/2019.
   [Anonymous], 2020, Hazus Earthquake Model Technical Manual Hazus 4.2 SP3
   Argyroudis S, 2017, SOIL DYN EARTHQ ENG, V98, P244, DOI 10.1016/j.soildyn.2017.04.016
   Argyroudis S, 2015, EARTHQ ENG STRUCT D, V44, P1863, DOI 10.1002/eqe.2563
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruyelle JL, 2014, SAFETY SCI, V62, P37, DOI 10.1016/j.ssci.2013.07.022
   Chen JQ, 2022, PHYSICA A, V586, DOI 10.1016/j.physa.2021.126517
   Chen RP, 2023, TUNN UNDERGR SP TECH, V135, DOI 10.1016/j.tust.2023.105061
   Chen XS, 2023, TUNN UNDERGR SP TECH, V136, DOI 10.1016/j.tust.2023.105075
   china earthquake administration, 2023, Regional earthquake catalogue
   China SGCo, 2016, Technical guidelines for distribution network
   Cimellaro G., 2006, P 8 US NATL C EARTHQ
   Davila-Frias A, 2022, P REL MAINT S, DOI 10.1109/RAMS51457.2022.9893982
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Diab E, 2020, INT J SUSTAIN TRANSP, V14, P657, DOI 10.1080/15568318.2019.1600174
   Ding P, 2019, SUSTAIN CITIES SOC, V45, P271, DOI 10.1016/j.scs.2018.11.010
   Dong ZF, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.869965
   Dueñas-Osorio L, 2007, EARTHQ ENG STRUCT D, V36, P285, DOI 10.1002/eqe.626
   Gao Y, 2021, INT J PROD RES, V59, P2177, DOI 10.1080/00207543.2020.1847339
   [韩寒 Han Han], 2019, [地理与地理信息科学, Geography and Geo-information Science], V35, P64
   Hu J, 2024, RELIAB ENG SYST SAFE, V241, DOI 10.1016/j.ress.2023.109641
   Huang ZK, 2020, TUNN UNDERGR SP TECH, V98, DOI 10.1016/j.tust.2020.103341
   Huo H, 2005, J GEOTECH GEOENVIRON, V131, P1522, DOI 10.1061/(ASCE)1090-0241(2005)131:12(1522)
   Ji K., 2021, SPIE, P1171
   Jiang JW, 2023, TUNN UNDERGR SP TECH, V135, DOI 10.1016/j.tust.2023.105057
   Jiao LD, 2021, LAND-BASEL, V10, DOI 10.3390/land10121298
   Kammouh O, 2018, ENG STRUCT, V173, P393, DOI 10.1016/j.engstruct.2018.06.093
   KANAMORI H, 1977, J GEOPHYS RES, V82, P2981, DOI 10.1029/JB082i020p02981
   Karakoc DB, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101228
   Li M, 2019, IEEE ACCESS, V7, P71221, DOI 10.1109/ACCESS.2019.2919105
   Li ZL, 2019, RELIAB ENG SYST SAFE, V188, P503, DOI 10.1016/j.ress.2019.03.052
   Liu B, 2023, COMMUN TRANSP RES, V3, DOI 10.1016/j.commtr.2023.100098
   Liu KZ, 2021, STRUCT INFRASTRUCT E, V17, P1141, DOI 10.1080/15732479.2020.1801764
   Liu LJ, 2020, MATH BIOSCI ENG, V17, P7302, DOI 10.3934/mbe.2020374
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Lu Y, 2018, Research on seismic analysis of the "Integration construction-bridge" structure based on performance
   [吕彪 Lv Biao], 2021, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V21, P198
   Ma Z, 2022, TRANSPORT POLICY, V129, P38, DOI 10.1016/j.tranpol.2022.10.003
   Martinez E, 2018, INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2018: PLANNING, SUSTAINABILITY, AND INFRASTRUCTURE SYSTEMS, P223
   Masahiko I, 1996, Tunn Ouvrages Souterr, P363
   Nabian M.A., 2018, Deep learning for accelerated seismic reliability analysis of transportation networks, V33, P443
   Nielson B. G., 2005, Analytical fragility curves for highway bridges in moderate seismic zones
   Oboudi MH, 2024, RELIAB ENG SYST SAFE, V241, DOI 10.1016/j.ress.2023.109635
   Osaka S, 2018, ANN THORAC CARDIOVAS, V24, P57, DOI 10.5761/atcs.ra.17-00181
   Sakai K., 2012, Undergr Space Symp Pap Rep, V17, P1
   Sharma N, 2020, COMPUT-AIDED CIV INF, V35, P1315, DOI 10.1111/mice.12606
   Sharma N, 2018, SUSTAIN RESIL INFRAS, V3, P49, DOI 10.1080/23789689.2017.1345257
   Somy S, 2022, STRUCT INFRASTRUCT E, V18, P1334, DOI 10.1080/15732479.2021.1906711
   Taghizadeh M, 2023, RELIAB ENG SYST SAFE, V236, DOI 10.1016/j.ress.2023.109255
   Tang JQ, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107715
   Tang YC, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103037
   Tokyo Inland Earthquake Countermeasures Council for People Struggling to Return Home, Reference material for the final report of the council for measures to deal with people unable to return home after the Tokyo Inland Earthquake
   Wang NX, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109478
   Wei Y, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13063964
   Wen WP, 2024, COMPUT-AIDED CIV INF, V39, P136, DOI 10.1111/mice.13008
   Wu YY, 2023, RELIAB ENG SYST SAFE, V230, DOI 10.1016/j.ress.2022.108918
   Xing JD, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103975
   Xu ZZ, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39999-w
   Yi K, 2023, Arxiv, DOI [arXiv:2205.09616, DOI 10.33965/IHCI2019201906L016, 10.16655/j.cnki.2095-2813.2103-1579-5240]
   Yin DZ, 2022, RELIAB ENG SYST SAFE, V218, DOI 10.1016/j.ress.2021.108161
   Yoon S, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10186476
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zhang JF, 2020, INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2020 - RAIL AND PUBLIC TRANSPORT, P71
   Zhang J, 2023, COMPUT-AIDED CIV INF, V38, P1657, DOI 10.1111/mice.12882
   Zhang MY, 2022, RELIAB ENG SYST SAFE, V225, DOI 10.1016/j.ress.2022.108570
   Zhang ZY, 2022, RELIAB ENG SYST SAFE, V220, DOI 10.1016/j.ress.2021.108282
   Zhang ZP, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104315
   Zou QL, 2021, RELIAB ENG SYST SAFE, V215, DOI 10.1016/j.ress.2021.107800
NR 69
TC 0
Z9 0
U1 21
U2 21
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0951-8320
EI 1879-0836
J9 RELIAB ENG SYST SAFE
JI Reliab. Eng. Syst. Saf.
PD APR
PY 2025
VL 256
AR 110781
DI 10.1016/j.ress.2024.110781
EA DEC 2024
PG 17
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA S0D5V
UT WOS:001395042500001
DA 2025-04-22
ER

PT J
AU Lu, XH
   Chan, FKS
   Chen, WQ
   Chan, HK
   Gu, XB
AF Lu, Xiaohui
   Chan, Faith Ka Shun
   Chen, Wei-Qiang
   Chan, Hing Kai
   Gu, Xinbing
TI An overview of flood-induced transport disruptions on urban streets and
   roads in Chinese megacities: Lessons and future agendas
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Chinese megacities; Urban flood; Road transport disruption;
   Waterlogging; Climate change
ID PLUVIAL FLASH-FLOOD; CLIMATE-CHANGE; RISK-MANAGEMENT; STORMWATER
   MANAGEMENT; SPONGE CITY; IMPACT; NETWORK; ACCESSIBILITY; VULNERABILITY;
   SHANGHAI
AB Urban road transport disruptions caused by urban floods have become severe in the Chinese megacities due to climate change and urbanisation. Urban road planning, design, and land drainage systems are insufficiently coping with intense rainstorms, especially in the wet season. This is reflected in more research findings on urban flood impacts and road transport disruption over the past decade. Here we provide a critical overview of current research on urban road inundation, road traffic delays, and accessibility losses under flood conditions, and illustrate up-to-date practices with the relevant governmental institutions. Our review implies that urban flood management in road design is still at an embryonic stage in the Chinese megacities. Hence, we review the lessons and experiences of urban flood impacts on roads in the global context. We argue that it is essential to enhance better co-production practices on emergency responses and recovery measures between authorities, which is vital to improving flood resilience in uncertain climates.
C1 [Lu, Xiaohui; Chen, Wei-Qiang] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China.
   [Lu, Xiaohui; Chan, Hing Kai; Gu, Xinbing] Univ Nottingham Ningbo China, Nottingham Univ Business Sch China, Ningbo 315100, Peoples R China.
   [Chan, Faith Ka Shun] Univ Nottingham Ningbo China, Sch Geog Sci, Ningbo 315100, Peoples R China.
   [Chan, Faith Ka Shun] Univ Leeds, Water Leeds, Leeds LS2 9JT, England.
   [Chan, Faith Ka Shun] Univ Leeds, Sch Geog, Leeds LS2 9JT, England.
   [Chan, Hing Kai] Nottingham Ningbo China Beacons Excellence Res & I, Ningbo 315048, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Urban Environment, CAS;
   University of Nottingham Ningbo China; University of Nottingham Ningbo
   China; University of Leeds; University of Leeds
RP Chen, WQ (corresponding author), Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China.; Chan, HK (corresponding author), Univ Nottingham Ningbo China, Nottingham Univ Business Sch China, Ningbo 315100, Peoples R China.; Chan, FKS (corresponding author), Univ Nottingham Ningbo China, Sch Geog Sci, Ningbo 315100, Peoples R China.
EM faith.chan@nottingham.edu.cn; wqchen@iue.ac.cn;
   Hingkai.Chan@nottingham.edu.cn
RI Chen, Wei-Qiang/HJY-2209-2023; Chan, Hing Kai/A-8343-2008; Chan, Faith
   Ka Shun/H-1541-2017; Gu, Xinbing/ABZ-9740-2022
OI Chan, Faith Ka Shun/0000-0001-6091-6596; Chen,
   Wei-Qiang/0000-0002-7686-2331; Gu, Xinbing/0000-0002-1570-0646
FU National Natural Science Foundation of China [NSFC41850410497]; National
   Key R&D Program of China [2019YFC1510400]; Ningbo Science and Technology
   Bureau [201401C5008005]
FX We are grateful to the editors of the Journal of Environment Management
   and all anonymous reviewers for their insightful comments to improve the
   manuscript. This study was funded by the National Natural Science
   Foundation of China (Grant No. NSFC41850410497); the National Key R&D
   Program of China (Grant Number: 2019YFC1510400) and by Ningbo Science
   and Technology Bureau ????????, project titled "Quantifying the impacts
   and risk of Typhoon related flooding in Ningbo (?????????????????????)
   (Grant No. 201401C5008005).
CR [Anonymous], 2011, CDN CHINADAILY NEWS
   [Anonymous], 2008, TRANSP RES BOARD
   Avand M, 2022, J HYDRO-ENVIRON RES, V40, P1, DOI 10.1016/j.jher.2021.10.002
   Becker A, 2012, CLIMATIC CHANGE, V110, P5, DOI 10.1007/s10584-011-0043-7
   Böhm HR, 2004, RIVER RES APPL, V20, P255, DOI 10.1002/rra.776
   Calvert S, 2016, Influence of Weather on Traffic Flow: an Extensive Stochastic Multi-effect Capacity and Demand Analysis
   Canton J., 2011, Significance, V8, P53, DOI DOI 10.1111/J.1740-9713.2011.00485.X
   Capacchione R, 2020, GUANGZHOU METROLINE
   Chan FKS, 2013, J WATER CLIM CHANGE, V4, P390, DOI 10.2166/wcc.2013.018
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Chan FKS, 2013, IRRIG DRAIN, V62, P501, DOI 10.1002/ird.1733
   Chang H, 2010, ANN ASSOC AM GEOGR, V100, P938, DOI 10.1080/00045608.2010.497110
   Chaoran Li, 2021, AVERAGE TIME EMS RES
   Check LM, 1997, ENVIRON MONIT ASSESS, V44, P183, DOI 10.1023/A:1005728405754
   Chen MX, 2014, J GEOGR SCI, V24, P33, DOI 10.1007/s11442-014-1071-9
   Cheng E., 2020, Floods and the coronavirus create more uncertainty for China as food prices climb
   China Meteorological Administration, 2018, 4412018 QXT
   China Meteorological Administration, 2019, WATERLOGGING WARNING
   Chung E, 2005, 2005 IEEE Intelligent Transportation Systems Conference (ITSC), P1080
   Chung Y, 2012, TRANSPORT POLICY, V19, P167, DOI 10.1016/j.tranpol.2011.10.001
   Coles D, 2017, J HYDROL, V546, P419, DOI 10.1016/j.jhydrol.2016.12.013
   Cook S, 2019, APPROACHES TO WATER SENSITIVE URBAN DESIGN: POTENTIAL, DESIGN, ECOLOGICAL HEALTH, URBAN GREENING, ECONOMICS, POLICIES, AND COMMUNITY PERCEPTIONS, P561, DOI 10.1016/B978-0-12-812843-5.00027-7
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   Debele SE, 2019, ENVIRON RES, V179, DOI 10.1016/j.envres.2019.108799
   Deng JL, 2016, NAT HAZARDS, V83, P1301, DOI 10.1007/s11069-016-2369-y
   Di Matteo M, 2017, ENVIRON MODELL SOFTW, V97, P16, DOI 10.1016/j.envsoft.2017.07.012
   Evans B, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062330
   Fahad MGR, 2019, TRANSPORT RES D-TR E, V77, P589, DOI 10.1016/j.trd.2019.09.024
   George C.S., 2007, CHINAS URBAN SPACE D
   Gimenez-Maranges M, 2020, J CLEAN PROD, V255, DOI 10.1016/j.jclepro.2020.120191
   Green D, 2017, NAT HAZARD EARTH SYS, V17, P1, DOI 10.5194/nhess-17-1-2017
   Griffiths J, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0222
   Guangzhou Municipal Planning Natural Resources Bureau, 2017, GUANGZHOU SPONGE CIT
   Haddad EA, 2015, HABITAT INT, V45, P106, DOI 10.1016/j.habitatint.2014.06.023
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   He D., 2015, URBAN DEV CHALLENGES, P227
   Hénonin J, 2015, URBAN WATER J, V12, P52, DOI 10.1080/1573062X.2013.851710
   Hernandez-Fajardo I, 2013, RELIAB ENG SYST SAFE, V111, P260, DOI 10.1016/j.ress.2012.10.012
   Hooper E.J., 2013, THESIS
   Hooper E, 2014, THEOR APPL CLIMATOL, V117, P303, DOI 10.1007/s00704-013-0999-5
   Hou JW, 2020, GEOMAT NAT HAZ RISK, V11, P71, DOI 10.1080/19475705.2019.1707719
   Hranac R., 2006, Empirical Studies on Traffic Flow in Inclement Weather
   Hu WY, 2020, ENVIRON PLAN B-URBAN, V47, P841, DOI 10.1177/2399808318809711
   Huang L, 2016, LANDSCAPE URBAN PLAN, V145, P57, DOI 10.1016/j.landurbplan.2015.09.005
   Ilderomi Ali Reza, 2022, Arabian Journal of Geosciences, V15, DOI 10.1007/s12517-022-10404-y
   Jia YH, 2017, IET INTELL TRANSP SY, V11, P531, DOI 10.1049/iet-its.2016.0257
   Jia YH, 2017, J ADV TRANSPORT, DOI 10.1155/2017/6575947
   Jiang WG, 2012, J GEOGR SCI, V22, P301, DOI 10.1007/s11442-012-0928-z
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Kendon EJ, 2012, J CLIMATE, V25, P5791, DOI 10.1175/JCLI-D-11-00562.1
   Koks EE, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10442-3
   Kramer M, 2016, INT J DISAST RISK RE, V17, P77, DOI 10.1016/j.ijdrr.2016.04.003
   Kuriqi A., 2021, HDB ENV CHEM, P1, DOI [10.1007/6982021773, DOI 10.1007/698_2021_773]
   Li DM, 2016, NAT HAZARDS, V82, P1947, DOI 10.1007/s11069-016-2279-z
   Li DR, 2019, INT J DIGIT EARTH, V12, P1382, DOI 10.1080/17538947.2018.1512662
   Li MY, 2018, APPL GEOGR, V100, P21, DOI 10.1016/j.apgeog.2018.09.001
   Li MY, 2018, T GIS, V22, P311, DOI 10.1111/tgis.12311
   Liao K.-H., 2019, SOCIO-ECOL PRACT RES, V1, P67, DOI DOI 10.1007/S42532-019-00009-3
   Lim HS, 2016, J HYDROL, V538, P842, DOI 10.1016/j.jhydrol.2016.04.063
   Liu YL, 2015, INT J EQUITY HEALTH, V14, DOI 10.1186/s12939-015-0282-8
   Lyu HM, 2019, TUNN UNDERGR SP TECH, V84, P31, DOI 10.1016/j.tust.2018.10.019
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   Martínez-Gomariz E, 2017, URBAN WATER J, V14, P930, DOI 10.1080/1573062X.2017.1301501
   Matos C, 2019, J ENVIRON MANAGE, V232, P654, DOI 10.1016/j.jenvman.2018.11.085
   McGuirk M., 2009, WMO Bulletin, V58, P85
   Meijer JR, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabd42
   MEM, 2021, Top ten natural disasters in China in 2020
   Meteorological Bureau of Guangzhou Municipality, 2018, GUANGZ CLIM B 2017
   Meteorological Bureau of Guangzhou Municipality, 2021, GUANGZH CLIM B 2020
   Meteorological Bureau of Shenzhen Municipality, 2020, SHENZHEN CLIMATE B 2
   MHURD, 2016, CODE URBAN PLANNING
   MHURD, 2016, Code for Design of Outdoor Wastewater Engineering
   MHURD, 2017, GB512222017 MIN HOUS
   MHURD, 2020, ANN REP ROAD NETW DE
   MILT, 2018, 2018AMENDMENT ACT SP
   Moor, 2020, TOKYOS NEW LOOK 8 RE
   Nigam A, 2021, INT CONF COMMUN SYST, P728, DOI 10.1109/COMSNETS51098.2021.9352860
   Our world in data, 2018, SHARE POPULATION LIV
   Parker DJ, 2011, APPL GEOGR, V31, P891, DOI 10.1016/j.apgeog.2011.01.002
   People's Government of Beijing City, 2020, IMPLEMENTATION STREN
   People's Government of Guangzhou Province, 2011, MANAGEMENT REGULATIO
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Qi YF, 2020, WATER-SUI, V12, DOI 10.3390/w12102788
   Reggiani A, 2015, TRANSPORT RES A-POL, V81, P4, DOI 10.1016/j.tra.2014.12.012
   Rodrigue J-P., 2012, The Geography of Transport Systems, DOI DOI 10.4324/9780429346323
   Rozenberg J., 2019, Beyond the Gap: How Countries Can Afford the Infrastructure They Need while Protecting the Planet, DOI DOI 10.1596/978-1-4648-1363-4
   Saito N, 2014, URBAN CLIM, V9, P89, DOI 10.1016/j.uclim.2014.07.006
   Seoul Metropolitan Government, 2021, CITY SEOUL PROJECT P
   Shanghai Municipal Peoples Government, 2016, IMPLEMENTATION STREN
   Shenzhen Municipal Health Commission, 2018, MANAGEMENT REGULATIO
   Shenzhen Municipal Water Bureau, 2017, NOTICE BUREAU WATER
   Shenzhen Municipal Water Bureau, 2021, IMPL OP SHENZH MUN G
   Singh P, 2018, INT J DISAST RISK RE, V28, P237, DOI 10.1016/j.ijdrr.2018.03.017
   Su BN, 2016, NAT HAZARDS, V81, P23, DOI 10.1007/s11069-015-2064-4
   Su Jiexi, 2020, DOES GLOBAL WARMING
   Tariq A, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13112053
   Tezuka S, 2014, INT J DISAST RISK RE, V9, P58, DOI 10.1016/j.ijdrr.2014.03.004
   UNESCO, 2016, WAT MEG GLOB CHANG P
   United Nations Department of Economic and Social Affairs Population Division, 2018, WORLD URBANIZATION P
   Urban Floods Community of Practice (UFCOP), 2016, KNOWLEDGE NOTES
   Van der Veen A, 2005, NAT HAZARDS, V36, P65, DOI 10.1007/s11069-004-4542-y
   van Stokkom HTC, 2005, WATER INT, V30, P76, DOI 10.1080/02508060508691839
   Wang SG, 2020, TRANSPORT RES A-POL, V132, P144, DOI 10.1016/j.tra.2019.11.012
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
   Wisniewski S, 2020, TRANSPORT RES D-TR E, V87, DOI 10.1016/j.trd.2020.102510
   World Bank, 2016, Keeping Indonesia's Capital Safer From Floods
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Xia TQ, 2019, HEALTH PLACE, V56, P53, DOI 10.1016/j.healthplace.2019.01.012
   Xinhua News Agency, 2019, XINHUA NEWS AGE 0524
   Xu YS, 2018, J HYDROL, V563, P900, DOI 10.1016/j.jhydrol.2018.06.075
   Yin J, 2021, ENVIRON PLAN B-URBAN, V48, P2239, DOI 10.1177/2399808320971304
   Yin J, 2016, J HYDROL, V537, P138, DOI 10.1016/j.jhydrol.2016.03.037
   Yin J, 2015, STOCH ENV RES RISK A, V29, P1063, DOI 10.1007/s00477-014-0939-7
   Yu DP, 2020, NAT SUSTAIN, V3, P728, DOI 10.1038/s41893-020-0516-7
   Zhang SX, 2015, J HYDROL, V527, P113, DOI 10.1016/j.jhydrol.2015.04.060
   Zhang WW, 2019, INT J INTELL TRANSP, V17, P150, DOI 10.1007/s13177-018-0162-x
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
   Zhou TJ, 2021, INNOVATION-AMSTERDAM, V2, DOI 10.1016/j.xinn.2021.100173
   Zhou ZN, 2015, SUSTAINABILITY-BASEL, V7, P13378, DOI 10.3390/su71013378
NR 120
TC 27
Z9 30
U1 30
U2 248
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD NOV 1
PY 2022
VL 321
AR 115991
DI 10.1016/j.jenvman.2022.115991
EA AUG 2022
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 4F3XA
UT WOS:000848446300002
PM 35994961
DA 2025-04-22
ER

PT J
AU Makhoul, N
   Navarro, C
   Lee, J
   Abi-Youness, A
AF Makhoul, Nisrine
   Navarro, Christopher
   Lee, Jong
   Abi-Youness, Alda
TI Assessment of seismic damage to buildings in resilient Byblos City
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Earthquake damage estimations; Building; Byblos; Resilience;
   International heritage
ID EARTHQUAKE; FAULT; MODEL
AB Byblos, one of the oldest continuously inhabited cities in the world and a UNESCO World Heritage Site, is indeed a resilient city that has thrived for more than 7000 years while mitigating shocks and stresses. Byblos, at the threshold of the 21st century, is still adapting, growing and changing. In this paper, aiming to bridge between international heritage resilience and disaster risk management: first, the resilience of international heritage is discussed in general and resilience qualities of Byblos in particular; second earthquakes, one of the main threats faced by Byblos is identified; and third the earthquake damage to Byblos buildings is assessed by mean of different likely earthquake scenarios. For that purpose, data for Byblos building inventory have been gathered through a ground survey. The earthquake hazard for the region has been defined, hazard maps have been digitized, and structural vulnerability functions were assigned. After preparation of the needed files using the Geographic Information System, the Ergo platform was used to model the earthquake-induced building damage. It was obtained that the un-reinforced masonry structure type is the most vulnerable to earthquakes, the reinforced masonry structures type is the second most vulnerable, followed by reinforced concrete frame structures, and finally by reinforced concrete frames with shear walls structures. It was recommended to upgrade, whenever possible, the unreinforced masonry buildings to reinforced masonry buildings while preserving their historical aspect, and to strengthen the frame concrete buildings by adding shear walls whenever possible. All new buildings to be constructed in the future are recommended to strictly follow the codes. This study helps to gain a better understanding of the extent of potential damage; it allows establishing an earthquake preparedness strategy and recovery plan to enhance the resilience of the city. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Makhoul, Nisrine; Abi-Youness, Alda] Univ Balamand Al Kurah, Dept Civil Engn, Lebanon POB 100, Tripoli, Lebanon.
   [Navarro, Christopher; Lee, Jong] Univ Illinois, Natl Ctr Supercomp Applicat, Champain, IL 61820 USA.
C3 University of Illinois System; University of Illinois Urbana-Champaign
RP Makhoul, N (corresponding author), Univ Balamand Al Kurah, Dept Civil Engn, Lebanon POB 100, Tripoli, Lebanon.
EM nisrine.makhoul@balamand.edu.lb
RI Makhoul, Nisrine/AFO-6620-2022
OI Lee, Jong/0000-0002-9635-5687
FU University of Balamand Research Council
FX We thank Pr Amr Elnashai, who encouraged us to model using Ergo
   ((ex-MAEviz)). We thank the University of Balamand Research Council for
   their support, especially Pr Chafic Mokbel. We thank Dr Marleine Brax
   for providing seismological data for Lebanon after year 2006 as measured
   by the Lebanese National Center for Geophysical Research. Finally we
   thank Ergo partners, especially Dr Himmet Karaman for providing Turkish
   fragility functions.
CR Akkar S, 2014, B EARTHQ ENG, V12, P359, DOI 10.1007/s10518-013-9461-4
   Ambraseys NN, 1996, EARTHQ ENG STRUCT D, V25, P371, DOI 10.1002/(SICI)1096-9845(199604)25:4<371::AID-EQE550>3.3.CO;2-1
   [Anonymous], 2004, FALL M EOS T
   [Anonymous], 1999, 1997 KOB TOK INT S R
   [Anonymous], 2014, World Bank Report
   [Anonymous], 1997 KOB TOK INT S R
   [Anonymous], 2004, P 11 INT C SOIL DYN
   [Anonymous], 1981, SISMICIT LIBAN
   [Anonymous], 1994, RES REPORT DIRECTORA
   [Anonymous], DISASTER MANAGEMENT
   [Anonymous], 2015, BUILDING RESILIENCE
   [Anonymous], J ENV MANAG
   [Anonymous], Designing Optimal Risk Mitigation and Risk Transfer Mechanisms to Improve the Management of Earthquake Risk in Chile
   [Anonymous], GUID DIS PREP MUS
   [Anonymous], DISASTER MANAGEMENT
   [Anonymous], 2012, Short Notice on Earthquake Hazard in Lebanon
   Asbahan R., 2001, THESIS, P92
   Baldi P., 2016, RISK MAP CULTURAL HE
   Binici H, 2010, Electronic Journal of Construction Technologies, V6, P46
   Byblos R., 2016, RESILIENT BYBLOS CON
   Clayson A., 1991, STANDING NATURAL DIS
   Council of Europe (COE), 1989, ARCH HER SER, V2
   Daëron M, 2005, GEOLOGY, V33, P529, DOI 10.1130/G21352.1
   Darawcheh R, 2000, J EARTHQUAKE ENG, V4, P403, DOI 10.1142/S1363246900000229
   Dorge Valerie., 1999, BUILDING EMERGENCY P
   Duffield M., 2013, EMERG RESIL UNCERTAI, V21, P55
   Dunand M., 1973, BYBLOS ITS HIST RUIN, P11
   Elias A, 2007, GEOLOGY, V35, P755, DOI 10.1130/G23631A.1
   Elnashai A., 2004, Earthquake hazard in Lebanon
   Elnashai A, 2008, J EARTHQ ENG, V12, P92, DOI 10.1080/13632460802013610
   Elnashai AS, 2008, J EARTHQ ENG, V12, P100, DOI 10.1080/13632460802013750
   Feilden B.M., 1987, Between Two Earthquakes: Cultural Properties in Seismic Zones
   Giovinazzi S., 2013, P NZSEE C NZ SOC EAR
   Graham K., AUSTRALAS J DISASTER
   Harajli M, 2002, J SEISMOL, V6, P257, DOI 10.1023/A:1015687602473
   Huijer, 2011, Lebanese Science Journal, V12, P67
   Huijer CE., 2010, Implications of the recent mapping of the offshore thrust fault system on the seismic hazard of Lebanon
   ICCROM UNESCO IUCN ICOMOS, 2010, MAN DIS RISKS WORLD
   Idriss IM, 2008, EARTHQ SPECTRA, V24, P217, DOI 10.1193/1.2924362
   James B., 2007, DISASTER PREPAREDNES
   Jeong SH, 2006, J STRUCT ENG, V132, P1482, DOI 10.1061/(ASCE)0733-9445(2006)132:9(1482)
   Jidejian Nina., 1968, Byblos Through the Ages
   Jigyasu R., 2016, CULTURAL HERITAGE GE
   Jigyasu Rohit., 2013, Heritage and Resilience: Issues and Opportunities for Reducing Disaster Risks
   Khair K, 2000, ANN GEOFIS, V43, P61
   King J., 2006, SPEC SESS ORG ICCROM, P2
   Look D.W., 2001, CRM, V8, P3
   Look D.W., 1997, SEISMIC RETROFIT HIS
   LOOK DW, 1991, SEISMIC RETROFIT HIS
   Makhoul N., 2015, P IABSE GEN C STRUCT
   MEIER HS, 2008, CULTURAL HERITAGE NA
   Mokaddem S. A., 1994, THESIS, P120
   Musitelli J., 2002, International Journal of Cultural Property, V11, P323, DOI [10.1017/S0940739102771464, DOI 10.1017/S0940739102771464]
   Nelson CarlL., 1991, Protecting the Past From Natural Disasters
   Pico L., 2006, UMR6554 LETG
   Rohit A.V., 2013, DISASTER RISK MANAGE
   Rosenstein S., 2014, BLOG POST
   Sen T.K., 2009, FUNDAMENTALS SEISMIC
   Spennemann D., 2007, International Journal of Risk Assessment and Management, V4, P993, DOI [10.1504/IJRAM.2007.014670, DOI 10.1504/IJRAM.2007.014670]
   Spennemann D. H. R., 2007, INT J RISK ASSESMENT, V7
   Spennemann D. H. R., 2005, PKM397 HERITAGE SITE
   Spennemann DirkH. R., 1999, INT J PUBLIC ADMIN, V22, P745, DOI DOI 10.1080/01900699908525403
   Steelman J., 2007, Integrated data flow and risk aggregation for consequence-based risk management of seismic regional losses
   Stovel H., 1999, P 1997 KOB TOK INT S
   Stovel Herb., 1998, RISK PREPAREDNESS MA
   Trendafiloski G, 2009, EARTHQ SPECTRA, V25, P665, DOI 10.1193/1.3159447
   WALLEY CD, 1988, TECTONOPHYSICS, V145, P63, DOI 10.1016/0040-1951(88)90316-2
   World Heritage Committee, 2007, CONV PROT WORLD CULT
NR 68
TC 15
Z9 16
U1 0
U2 42
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD SEP
PY 2016
VL 18
BP 12
EP 22
DI 10.1016/j.ijdrr.2016.05.007
PG 11
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA DY1EK
UT WOS:000384837500002
DA 2025-04-22
ER

PT J
AU Guan, HM
   Liu, WX
   Zhang, PY
   Lo, K
   Li, J
   Li, LG
AF Guan Haoming
   Liu Wenxin
   Zhang Pingyu
   Lo, Kevin
   Li Jing
   Li Liangang
TI Analyzing Industrial Structure Evolution of Old Industrial Cities Using
   Evolutionary Resilience Theory: A Case Study in Shenyang of China
SO CHINESE GEOGRAPHICAL SCIENCE
LA English
DT Article
DE evolutionary resilience; industrial evolution path; economic cycle
   model; old industrial city; Shenyang
ID ECONOMIC RESILIENCE; REGIONAL RESILIENCE; ADAPTATION
AB The recession and revitalization of old industrial cities concerns urban industrial evolution and its characteristics. Based on the theory of evolutionary resilience, we developed an analytical framework for the industrial structure evolution of old industrial cities, and applied the framework to a case study in Shenyang. The following conclusions are drawn. First, since 1978, Shenyang's industrial growth capacity has shown fluctuation between 'contraction-expansion'. As the secondary industry has a much stronger expansionary and contractionary capacity for growth, this results in lacking stability leading to industrial structure transformation. Second, since 1999, the orientation towards a high-end manufacturing industry in Shenyang has weakened, and the evolution of the new and old growth path is characterized by low-end orientation. Third, since 2007, Shenyang's industrial innovation output capacity has dropped sharply which has been significantly affected by scientific and technological personnel and enterprise-owed science and technology institutions and to a less extent by R&D expenditure. We applied the resilience theory to study the industrial evolution of an old industrial city, explored new study perspectives on industrial evolution and verified the applicability of the resilience theory. This paper provides a scientific reference for understanding the recent deceleration in economic growth in the Northeast old industrial base, and for exploring new paths toward revitalization.
C1 [Guan Haoming; Liu Wenxin; Zhang Pingyu; Li Jing; Li Liangang] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Jilin, Peoples R China.
   [Guan Haoming; Li Liangang] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Lo, Kevin] Hong Kong Baptist Univ, Dept Geog, Hong Kong, Hong Kong, Peoples R China.
C3 Chinese Academy of Sciences; Northeast Institute of Geography &
   Agroecology, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Hong Kong Baptist University
RP Liu, WX (corresponding author), Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Jilin, Peoples R China.
EM liuwx@iga.ac.cn
RI Lo, Kevin/AEY-9539-2022
OI Lo, Kevin/0000-0001-7721-4726
FU National Natural Science Foundation of China [41571152, 41771179,
   41630749, 41601124]; Key Deployment Projects of the Chinese Academy of
   Sciences [ZDBS-SSW-SQC]; 135 Planning and Featured Services Projects of
   IGA, Chinese Academy of Sciences [Y6H2091001]
FX Under the auspices of National Natural Science Foundation of China (No.
   41571152, 41771179, 41630749, 41601124), the Key Deployment Projects of
   the Chinese Academy of Sciences (No. ZDBS-SSW-SQC), 135 Planning and
   Featured Services Projects of IGA, Chinese Academy of Sciences (No.
   Y6H2091001)
CR [Anonymous], 2004, ECOL SOC
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   [陈琳琳 Chen Linlin], 2016, [地理科学, Scientia Geographica Sinica], V36, P1378
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Dai Dandan, 2012, ECON GEOGR, V32, P81
   Deng Chunling, 2010, CONT EC MANAGEMENT, V32, P5
   Department of Industrial Statistics National Statistical Bureau of China, 2001, CHIN IND STAT YB 200
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frenken K, 2015, REG STUD, V49, P10, DOI 10.1080/00343404.2014.904505
   Fu Y., 2014, China Industrial Economics, P78, DOI DOI 10.19581/J.CNKI.CIEJOURNAL.2014.09.006
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   [贺灿飞 He Canfei], 2016, [地理学报, Acta Geographica Sinica], V71, P970
   Hu Shuguang, 2011, J CHINA UNIV GEOSCI, V11, P29
   Hu XH., 2012, Foreign Economics Management, V8, P64, DOI [DOI 10.16538/J.CNKI.FEM.2012.08.005, 10.16538/j.cnki.fem.2012.08.005]
   Hu XH, 2017, CAMB J REG ECON SOC, V10, P527, DOI 10.1093/cjres/rsx012
   Li Chenghua, 2009, INNOVATION, V3, P5
   Li Xuexin, 2010, URBAN STUD, V17, P26
   [刘刚 LIU Gang], 2007, [地理学报, Acta Geographica Sinica], V62, P364
   Liu Zhigao, 2016, ECON GEOGR, V36, p[218, 232]
   [陆大道 Lu Dadao], 2015, [地理科学, Scientia Geographica Sinica], V35, P1207
   Martin R, 2007, J ECON GEOGR, V7, P573, DOI 10.1093/jeg/lbm019
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Martin R, 2011, REG STUD, V45, P1299, DOI 10.1080/00343404.2011.622263
   Martin R, 2010, ECON GEOGR, V86, P1
   National Bureau of Statistics of the People's Republic of China, 1986, CHIN STAT YB 1986 20
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   ROMER PM, 1986, J POLIT ECON, V94, P1002, DOI 10.1086/261420
   Scherer FM, 2001, SMALL BUS ECON, V16, P237, DOI 10.1023/A:1011132722211
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Shenyang Economic Statistical Yearbook Editorial Board, SHEN EC STAT YB 1986
   Shenyang Statistics Bureau Shenyang Survey Team of the National Bureau of Statistics, 1995, SHEN STAT YB 1995 20
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Society Science and Technology and Culture Industry Statistics Department National Bureau of Statistics Department of In-novation and Development Ministry of Science and Technology, 2005, CHIN STAT YB SCI TEC
   Tan JT, 2017, CHINESE GEOGR SCI, V27, P471, DOI 10.1007/s11769-017-0878-6
   Tong Hengqing, 2005, THEORETICAL ECONOMET, P128
   [王成金 Wang Chengjin], 2013, [自然资源学报, Journal of Natural Resources], V28, P1275
   Yang Dongfeng, 2013, URBAN PLANNING INT, V28, P50
   Zhang Keyun, 2016, CHINA DEV OBSERVATIO, P15
   Zheng Xinli, 1995, STRATEGY REVITALIZAT, P48
   Zhu SJ, 2017, J ECON GEOGR, V17, P521, DOI 10.1093/jeg/lbw047
   Zhuo Xian, 2013, REFORM, P73
NR 43
TC 20
Z9 28
U1 2
U2 111
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1002-0063
EI 1993-064X
J9 CHINESE GEOGR SCI
JI Chin. Geogr. Sci.
PD JUN
PY 2018
VL 28
IS 3
BP 516
EP 528
DI 10.1007/s11769-018-0963-5
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GE5MO
UT WOS:000431266700014
OA hybrid
DA 2025-04-22
ER

PT J
AU Alizadeh, H
   Sharifi, A
AF Alizadeh, Hadi
   Sharifi, Ayyoob
TI Assessing Resilience of Urban Critical Infrastructure Networks: A Case
   Study of Ahvaz, Iran
SO SUSTAINABILITY
LA English
DT Article
DE critical infrastructure; resilience; spatial analysis; redundancy;
   robustness; flexibility; vulnerability
ID DISASTER RESILIENCE; FRAMEWORK; PROTECTION; SYSTEMS; VULNERABILITY;
   OPTIMIZATION; CHALLENGES; CLIMATE
AB Cities around the world increasingly recognize the need to build on their resilience to deal with the converging forces of urbanization and climate change. Given the significance of critical infrastructure for maintaining quality of life in cities, improving their resilience is of high importance to planners and policy makers. The main purpose of this study is to spatially analyze the resilience of water, electricity, and gas critical infrastructure networks in Ahvaz, a major Iranian city that has been hit by various disastrous events over the past few years. Towards this goal, we first conducted a two-round Delphi survey to identify criteria that can be used for determining resilience of critical infrastructure networks across different parts of the city. The selected criteria that were used for spatial analysis are related to the physical texture, the design pattern, and the scale of service provision of the critical infrastructure networks. Results showed that, overall, critical infrastructure networks in Ahvaz do not perform well against the measurement criteria. This is specially the case in Regions 1, 2, 4, and 6, which are characterized by issues such as old and centralized infrastructure networks and high levels of population density. The study highlights the need to make improvements in terms of the robustness, redundancy, and flexibility of the critical infrastructure networks in the city.
C1 [Alizadeh, Hadi] Shahid Chamran Univ Ahvaz, Geog & Urban Planning, Ahvaz 6135783151, Iran.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Humanities & Social Sci, Higashihiroshima 7398530, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Adv Sci & Engn, Higashihiroshima 7398530, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, Higashihiroshima 7398530, Japan.
C3 Shahid Chamran University of Ahvaz; Hiroshima University; Hiroshima
   University; Hiroshima University
RP Sharifi, A (corresponding author), Hiroshima Univ, Grad Sch Humanities & Social Sci, Higashihiroshima 7398530, Japan.; Sharifi, A (corresponding author), Hiroshima Univ, Grad Sch Adv Sci & Engn, Higashihiroshima 7398530, Japan.; Sharifi, A (corresponding author), Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, Higashihiroshima 7398530, Japan.
EM h-alizadeh@phdstu.scu.ac.ir; sharifi@hiroshima-u.ac.jp
RI Alizadeh, Hadi/AAG-4671-2021; Sharifi, Ayyoob/M-7584-2013
OI Alizadeh, Hadi/0000-0001-6618-0209; Sharifi, Ayyoob/0000-0002-8983-8613
CR Adams TM, 2012, J TRANSP ENG, V138, P1403, DOI 10.1061/(ASCE)TE.1943-5436.0000415
   Alcaraz C, 2015, INT J CRIT INFR PROT, V8, P53, DOI 10.1016/j.ijcip.2014.12.002
   [Anonymous], 2008, OFFICIAL J EUROPEA L, VL345, P75
   [Anonymous], STAT YB AHV MUN AR A
   [Anonymous], NAT INFR PROT PLAN 2
   [Anonymous], 2017, JUNDISHAPUR J MICROB, DOI DOI 10.5812/jjm.41735
   [Anonymous], HDB STAT EN RES PROD
   [Anonymous], 2012, DIRENAT IMP
   [Anonymous], ASSESSMENT CRITICAL
   [Anonymous], SMART GRID HDB
   [Anonymous], KHUZ STAT YB KHUZ PR
   Balaei B, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102077
   Berle O, 2013, SUPPLY CHAIN MANAG, V18, P253, DOI 10.1108/SCM-03-2012-0109
   Blackman D, 2017, TECHNOL FORECAST SOC, V121, P89, DOI 10.1016/j.techfore.2016.09.018
   Blockley D, 2012, P I CIVIL ENG-CIV EN, V165, P13, DOI 10.1680/cien.11.00046
   Bobylev N, 2013, ADVANCES IN UNDERGROUND SPACE DEVELOPMENT, P906, DOI 10.3850/978-981-07-3757-3_RP-107-P219
   Brown R, 2015, INT J DISAST RISK RE, V14, P115, DOI 10.1016/j.ijdrr.2015.06.007
   Carvalho R, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090265
   Cedergren A, 2018, SAFETY SCI, V110, P51, DOI 10.1016/j.ssci.2017.12.025
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001433
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   Farsani MH, 2018, AEOLIAN RES, V33, P12, DOI 10.1016/j.aeolia.2018.04.001
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Gasser P, 2021, SUSTAIN RESIL INFRAS, V6, P273, DOI 10.1080/23789689.2019.1610600
   Golara A, 2017, J PIPELINE SYST ENG, V8, DOI 10.1061/(ASCE)PS.1949-1204.0000250
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Govindarajulu D, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101549
   Guidotti R, 2016, SUSTAIN RESIL INFRAS, V1, P153, DOI 10.1080/23789689.2016.1254999
   Haimes YY, 2009, RISK ANAL, V29, P498, DOI 10.1111/j.1539-6924.2009.01216.x
   Heinimann HR, 2017, NATO SCI PEACE SECUR, P147, DOI 10.1007/978-94-024-1123-2_5
   Herrera M, 2016, WATER RESOUR MANAG, V30, P1685, DOI 10.1007/s11269-016-1245-6
   Hickford Adrian J., 2018, Environment Systems & Decisions, V38, P278, DOI 10.1007/s10669-018-9707-4
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jahangir MH, 2019, WEATHER CLIM EXTREME, V25, DOI 10.1016/j.wace.2019.100215
   Kapucu N, 2013, RISK HAZARDS CRISIS, V4, P215, DOI 10.1002/rhc3.12043
   Keikhosravi Q, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.100453
   Kendall M., 1990, Correlation methods
   Ko YK, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236801
   Labaka L, 2016, TECHNOL FORECAST SOC, V103, P21, DOI 10.1016/j.techfore.2015.11.005
   Legendre P, 2005, J AGR BIOL ENVIR ST, V10, P226, DOI 10.1198/108571105X46642
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   MacKenzie CA, 2016, RISK ANAL, V36, P847, DOI 10.1111/risa.12479
   Maiwald M., 2019, OPERATIONS RES P 201, P23
   Mao Q, 2019, INT J CRIT INFR PROT, V26, DOI 10.1016/j.ijcip.2019.100304
   Marrone S, 2013, INT J CRIT INFR PROT, V6, P217, DOI 10.1016/j.ijcip.2013.10.001
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Min O, 2019, RELIAB ENG SYST SAFE, V190, DOI 10.1016/j.ress.2019.106506
   Nazarnia H, 2020, SAFETY SCI, V121, P573, DOI 10.1016/j.ssci.2019.02.014
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Ng ST, 2018, PROCEDIA ENGINEER, V212, P198, DOI 10.1016/j.proeng.2018.01.026
   Oliva S., 2018, City, Culture and Society, V15, P53, DOI DOI 10.1016/J.CCS.2018.05.005
   Ouyang M, 2014, STRUCT SAF, V48, P15, DOI 10.1016/j.strusafe.2014.01.001
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Panteli M, 2017, IEEE T POWER SYST, V32, P4732, DOI 10.1109/TPWRS.2017.2664141
   Pashapour S, 2019, J CLEAN PROD, V231, P1526, DOI 10.1016/j.jclepro.2019.05.171
   Petit F.D.P., 2013, RESILIENCE MEASUREME
   Pourghasemi HR, 2019, SCI TOTAL ENVIRON, V692, P556, DOI 10.1016/j.scitotenv.2019.07.203
   Provan DJ, 2020, RELIAB ENG SYST SAFE, V195, DOI 10.1016/j.ress.2019.106740
   Pursiainen C, 2018, INT J DISAST RISK RE, V27, P632, DOI 10.1016/j.ijdrr.2017.08.006
   Reggiani A, 2013, TRANSPORT POLICY, V28, P63, DOI 10.1016/j.tranpol.2012.09.007
   Rehak D, 2019, INT J CRIT INFR PROT, V25, P125, DOI 10.1016/j.ijcip.2019.03.003
   Rehak D, 2018, SYSTEMS, V6, DOI 10.3390/systems6020021
   Romero P, 2016, SCI TRANSL MED, V8, DOI 10.1126/scitranslmed.aaf0685
   Saaty T., 2014, Annals of Data Science, V1, P359, DOI [10.1007/s40745-014-0026-4, DOI 10.1007/S40745-014-0026-4]
   Setola R, 2016, STUD SYST DECIS CONT, V90, P1, DOI 10.1007/978-3-319-51043-9_1
   Shakou LM, 2019, SAFETY SCI, V118, P364, DOI 10.1016/j.ssci.2019.05.019
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Sharifi A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061032
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shin S, 2018, WATER-SUI, V10, DOI 10.3390/w10020164
   Tschakert P, 2010, ECOL SOC, V15
   UNISDR, 2012, Disaster risk and resilience. Thematic think piece
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Yang YF, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101485
   Yazdani A, 2011, ENVIRON MODELL SOFTW, V26, P1574, DOI 10.1016/j.envsoft.2011.07.016
   Yusta JM, 2011, ENERG POLICY, V39, P6100, DOI 10.1016/j.enpol.2011.07.010
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 82
TC 35
Z9 36
U1 2
U2 53
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2020
VL 12
IS 9
AR 3691
DI 10.3390/su12093691
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA LU0TK
UT WOS:000537476200189
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Xu, XD
   Zhou, SQ
   Xu, HW
   Wu, ZQ
AF Xu, Xiaodong
   Zhou, Shiqi
   Xu, Haowen
   Wu, Zhiqiang
TI Advancing urban hub planning: A bibliometric analysis of concepts,
   effects evaluation, and spatial design
SO LAND USE POLICY
LA English
DT Article
DE Urban hubs; Bibliometric analysis; Effects evaluation; Spatial design;
   Artificial intelligence
ID LAND-USE; ARTIFICIAL-INTELLIGENCE; LOCATION PROBLEM; GENETIC ALGORITHM;
   NETWORK; URBANIZATION; OPTIMIZATION; IMPACT; ENVIRONMENT; FACILITIES
AB Urban hubs play a pivotal role in advancing urban and transport sustainability. However, despite growing scholarly interest, existing research fails to provide a thorough understanding of their development and evolution. This study addresses this gap by analyzing 624 documents on urban hubs published between 2000 and 2024 through a bibliometric approach. The research synthesizes the concept of urban hubs, examines their effects, and reviews key design elements. It highlights how the integration of artificial intelligence (AI) has significantly influenced urban hub planning, particularly in location optimization and spatial design. Through a detailed literature review, the study identifies key research gaps, including the lack of quantitative methods to assess urban hubs' impacts, the need for demographic and long-term health considerations, insufficient focus on environmental goals like resilience and low-carbon design, and the limited application of AI techniques in generating 3D spatial functions. The study proposes a comprehensive AI-driven research framework that integrates social, economic, and environmental factors to enhance urban hub planning. The findings provide valuable insights for policymakers and urban planners, offering a pathway for the future development of sustainable urban hubs.
C1 [Xu, Xiaodong] Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, Shanghai 200093, Peoples R China.
   [Zhou, Shiqi] Tongji Univ, Coll Design & Innovat, Shanghai 200093, Peoples R China.
   [Xu, Haowen; Wu, Zhiqiang] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200093, Peoples R China.
C3 Tongji University; Tongji University; Tongji University
RP Zhou, SQ (corresponding author), Tongji Univ, Coll Design & Innovat, Shanghai 200093, Peoples R China.; Xu, HW (corresponding author), Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200093, Peoples R China.
EM xuxiaodong0901@tongji.edu.cn; zhoushiqi1965@outlook.com;
   tjupxhw@tongji.edu.cn; wus@tongji.edu.cn
RI Wu, Zhiqiang/AAH-2912-2020; zhou, shiqi/LLL-2747-2024
FU The 'Basic Theory of Sustainable Urban Planning, Construction, and
   Governance' under the 14th Five-Year Plan of the State Key Research and
   Development Program of the People's Republic of China [2022YFC3800205];
   National Key R & D Program of China [2023YFC3807505]
FX This research was funded by 'Basic Theory of Sustainable Urban Planning,
   Construction, and Governance' under the 14th Five-Year Plan of the State
   Key Research and Development Program of the People's Republic of China
   (grant number 2022YFC3800205) and National Key R & D Program of China
   (grant number 2023YFC3807505) .
CR Albert A, 2018, Arxiv, DOI arXiv:1801.02710
   Alirol E, 2011, LANCET INFECT DIS, V11, P131, DOI 10.1016/S1473-3099(10)70223-1
   Alumur S, 2009, J OPER RES SOC, V60, P1349, DOI 10.1057/jors.2008.92
   Alumur S, 2008, EUR J OPER RES, V190, P1, DOI 10.1016/j.ejor.2007.06.008
   Ambrosino G, 2016, RES TRANSP ECON, V59, P179, DOI 10.1016/j.retrec.2016.07.015
   Arnold T, 2023, TRANSPORT RES REC, V2677, P858, DOI 10.1177/03611981221108977
   As I, 2018, INT J ARCHIT COMPUT, V16, P306, DOI 10.1177/1478077118800982
   Azam A, 2021, J CLEAN PROD, V295, DOI 10.1016/j.jclepro.2021.126496
   Batty M, 2018, ENVIRON PLAN B-URBAN, V45, P3, DOI 10.1177/2399808317751169
   Bell D, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8020065
   Blad K., 2022, Case Studies on Transport Policy, P1904, DOI [DOI 10.1016/J.CSTP.2022.08.005, 10.1016/j.cstp.2022.08.005]
   Boland N, 2004, EUR J OPER RES, V155, P638, DOI 10.1016/S0377-2217(03)00072-9
   Campbell JF, 2005, MANAGE SCI, V51, P1540, DOI 10.1287/mnsc.1050.0406
   Campo M.D., 2020, P 11 ANN S SIM ARCH, P1
   Cao HM, 2016, MATEC WEB CONF, V61, DOI 10.1051/matecconf/20166104026
   Cao K, 2011, INT J GEOGR INF SCI, V25, P1949, DOI 10.1080/13658816.2011.570269
   Caprotti F, 2024, URBAN GEOGR, V45, P883, DOI 10.1080/02723638.2024.2329401
   Chaillou S., 2019, AI+ Architecture: Towards a New Approach
   Chen XM, 2015, HABITAT INT, V49, P445, DOI 10.1016/j.habitatint.2015.06.013
   Cheng WY, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1287858
   Cheng XS, 2020, ELECTRON COMMER RES, V20, P53, DOI 10.1007/s10660-019-09375-2
   Chernyshev KA, 2023, J GEOGR INST JOVAN C, V73, P371, DOI 10.2298/IJGI2303371C
   Chu H, 2019, IEEE I CONF COMP VIS, P4521, DOI 10.1109/ICCV.2019.00462
   Claire B., 2023, Architonic
   Contreras I, 2011, TRANSPORT SCI, V45, P18, DOI 10.1287/trsc.1100.0326
   Cugurullo F, 2024, URBAN STUD, V61, P1168, DOI 10.1177/00420980231203386
   Cunha CB, 2007, EUR J OPER RES, V179, P747, DOI 10.1016/j.ejor.2005.03.057
   Czarnetzki F, 2023, TRANSPORTATION, V50, P2193, DOI 10.1007/s11116-022-10305-9
   Dzudzek I, 2022, ERDKUNDE, V76, P185, DOI 10.3112/erdkunde.2022.03.03
   Ebery J, 2000, EUR J OPER RES, V120, P614, DOI 10.1016/S0377-2217(98)00395-6
   Elhedhli S, 2010, INFORMS J COMPUT, V22, P282, DOI 10.1287/ijoc.1090.0335
   Gan W, 2024, J COMPUT DES ENG, V11, P305, DOI 10.1093/jcde/qwae014
   Geurs K., 2022, SmartHubs Deliverable D, V2, P1
   Glotz-Richter M, 2016, TRANSP RES PROC, V14, P1296, DOI 10.1016/j.trpro.2016.05.202
   Goldenberg J, 2009, J MARKETING, V73, P1, DOI 10.1509/jmkg.73.2.1
   Gou P., 2008, J. Sichuan Univ. Sci. Eng. Sci. Ed., V23, P36, DOI [10.3969/j.issn.1672-8580.2008.04.009, DOI 10.3969/J.ISSN.1672-8580.2008.04.009]
   Greg R., 2019, Reimagining the Urban Form: Austin's Community Mobility Hub-RMI
   Griffiths K., 2016, MIPIM World Blog
   Gu XY, 2024, ISPRS INT J GEO-INF, V13, DOI 10.3390/ijgi13060203
   Guite HF, 2006, PUBLIC HEALTH, V120, P1117, DOI 10.1016/j.puhe.2006.10.005
   Hachette M., 2023, SMART CITIES SOCIAL, P245
   Hamadani AZ, 2013, SOCIO-ECON PLAN SCI, V47, P309, DOI 10.1016/j.seps.2013.03.001
   Hartmann S, 2017, COMPUT SCI RES NOTES, V2702, P133
   He D., 2009, Int. Conf. Manag. Serv. Sci., V2009, P1, DOI [10.1109/ICMSS.2009.5305589, DOI 10.1109/ICMSS.2009.5305589]
   Huang J., 2022, J. Archit. Res. Dev., V6, DOI [10.26689/jard.v6i4.4218, DOI 10.26689/JARD.V6I4.4218]
   Huang W., 2018, P 38 ANN C ASS COMP, P156, DOI DOI 10.52842/CONF.ACADIA.2018.156
   Huang XY, 2021, IEEE ACCESS, V9, P1103, DOI 10.1109/ACCESS.2020.3047207
   Jackson LE, 2003, LANDSCAPE URBAN PLAN, V64, P191, DOI 10.1016/S0169-2046(02)00230-X
   Jeff O., 2021, Sleepy No Longer, Downtown Miami Evolves Into Urban
   Jia YQ, 2019, ECOL INDIC, V99, P27, DOI 10.1016/j.ecolind.2018.12.007
   Jiang FF, 2024, AUTOMAT CONSTR, V159, DOI 10.1016/j.autcon.2024.105286
   Jing Ma, 2019, IOP Conference Series: Materials Science and Engineering, V592, DOI 10.1088/1757-899X/592/1/012130
   Jing R, 2019, APPL ENERG, V252, DOI 10.1016/j.apenergy.2019.113424
   Kara BY, 2000, EUR J OPER RES, V125, P648, DOI 10.1016/S0377-2217(99)00274-X
   Kasraian D, 2016, TRANSPORT REV, V36, P772, DOI 10.1080/01441647.2016.1168887
   Kaveh F, 2021, ANN OPER RES, V296, P131, DOI 10.1007/s10479-019-03430-9
   Kempinska K, 2019, APPL NETW SCI, V4, DOI 10.1007/s41109-019-0234-0
   Konishi H, 2000, J URBAN ECON, V48, P1, DOI 10.1006/juec.1999.2150
   Kumar K.S., 2024, Spatiotemporal Data Analytics and Modeling: Techniques and Applications, P89, DOI [10.1007/978-981-99-9651-3_5, DOI 10.1007/978-981-99-9651-3_5]
   Lecic-Tosevski D, 2019, CURR OPIN PSYCHIATR, V32, P204, DOI 10.1097/YCO.0000000000000489
   Li G., 2021, Railw. Transp. Econ., V43, P37, DOI [10.16668/j.cnki.issn.1003-1421.2021.08.07, DOI 10.16668/J.CNKI.ISSN.1003-1421.2021.08.07]
   Li M, 2023, COMPUT OPER RES, V154, DOI 10.1016/j.cor.2023.106188
   Li TT, 2017, MATH PROBL ENG, V2017, DOI 10.1155/2017/7189060
   Liao FC, 2022, INT J SUSTAIN TRANSP, V16, P269, DOI 10.1080/15568318.2020.1861394
   Lin B., 2020, P 11 ANN S SIM ARCH, P1
   Lin JY, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.103906
   Liu HQ, 2021, BUILD ENVIRON, V196, DOI 10.1016/j.buildenv.2021.107794
   [陆林 Lu Lin], 2019, [地理科学, Scientia Geographica Sinica], V39, P12
   Luca C, 2007, AUTOMAT CONSTR, V16, P70, DOI 10.1016/j.autcon.2005.10.008
   Ma XL, 2018, J CLEAN PROD, V170, P1052, DOI 10.1016/j.jclepro.2017.09.182
   Marianov V, 2003, COMPUT OPER RES, V30, P983, DOI 10.1016/S0305-0548(02)00052-7
   Maroufmashat A, 2019, INVENTIONS-BASEL, V4, P50, DOI [10.3390/INVENTIONS4030050.2019)50, DOI 10.3390/inventions4030050]
   Matsumoto H, 2018, J AIR TRANSP MANAG, V71, P160, DOI 10.1016/j.jairtraman.2018.04.003
   Mayer G, 2002, COMPUT OPER RES, V29, P715, DOI 10.1016/S0305-0548(01)00080-6
   Miguel J.D., 2019, Blucher Des. Proc., P71, DOI DOI 10.5151/PROCEEDINGS-CAADESIGRADI2019514
   Mirabi M, 2018, AI EDAM, V32, P44, DOI 10.1017/S0890060417000221
   Mitieka D, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15086754
   Monzon A., 2016, CITY-HUBs: Sustainable and Effici t Urban Transport Interchanges, V1st, DOI DOI 10.1201/B19519
   Moore M, 2003, INT J HYG ENVIR HEAL, V206, P269, DOI 10.1078/1438-4639-00223
   Mouratidis K, 2018, CITIES, V74, P7, DOI 10.1016/j.cities.2017.10.020
   Nauata N., 2020, House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation, V12346, P162, DOI [DOI 10.1007/978-3-030-58452-810, DOI 10.1007/978-3-030-58452-8_10]
   Newton David, 2019, Technology Architecture + Design, V3, P176, DOI 10.1080/24751448.2019.1640536
   Nickel S, 2001, APPL OPTIM, V48, P95
   OKELLY ME, 1986, GEOGR ANAL, V18, P343
   Oqubay A., 2020, The Oxford Handbook of Industrial Hubs and Economic Development
   Owaki T, 2020, COMM COM INF SC, V1332, P535, DOI 10.1007/978-3-030-63820-7_61
   Pan XZ, 2008, SENSORS-BASEL, V8, P2541, DOI 10.3390/s8042541
   Parisi L, 2023, J REG CITY PLAN, V34, P248, DOI 10.5614/jpwk.2023.34.3.2
   Pasagic Skrinjar J, 2012, PROMET-ZAGREB, V24, P433
   Quan SJ, 2022, ENVIRON PLAN B-URBAN, V49, P2500, DOI 10.1177/23998083221100550
   Quan SJ, 2019, ENVIRON PLAN B-URBAN, V46, P1581, DOI 10.1177/2399808319867946
   Rhee J., 2020, An Experiment in Pittsburgh, P669, DOI [10.52842/conf.caadria.2020.2, DOI 10.52842/CONF.CAADRIA.2020.2]
   Richer C., 2008, Cah. Sci. du Transp. / Sci. Pap. Transp., V101, DOI [10.46298/cst.12075, DOI 10.46298/CST.12075]
   Roukouni A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065222
   Sadeghi M, 2018, INT J IND ENG-THEORY, V25, P40
   Sakai T, 2019, J TRANSP GEOGR, V74, P145, DOI 10.1016/j.jtrangeo.2018.10.011
   Salama H.H., 2012, Hubs of knowledge flows in globalizing Doha, DOI 10.5339QFARF.2012.AHP39
   Salhi S., 2008, International Journal of Operations Research, V5, P1
   Savvides A.L., 2012, WIT Trans. Built Environ., V128, P709
   Shao HM, 2021, LAND-BASEL, V10, DOI 10.3390/land10070711
   Shaygan M, 2022, TRANSPORT RES C-EMER, V145, DOI 10.1016/j.trc.2022.103921
   Shen J., 2020, MACHINE LEARNING ASS, P679, DOI [10.52842/conf.caadria.2020.2.679, DOI 10.52842/CONF.CAADRIA.2020.2.679]
   So J, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104950
   Son TH, 2023, SUSTAIN CITIES SOC, V94, DOI 10.1016/j.scs.2023.104562
   Sun T., 2022, Planners, V38
   Tang RF, 2022, TRANSPORT RES C-EMER, V140, DOI 10.1016/j.trc.2022.103679
   Toivonen T., 2015, Really Is, DOI [10.48558/N1BD-8S82, DOI 10.48558/N1BD-8S82]
   Trepanier M., 2022, Les carrefours intelligents de mobilite: Etat des connaissances scientifiques et etudes de cas
   Union Internationale des Transports Publics, 2023, Mobility Hubs: Steering the Shift Towards Integrated Sustainable 2023
   Wang BJ, 2024, MATHEMATICS-BASEL, V12, DOI 10.3390/math12101496
   Wang L, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102181
   Wei W, 2008, INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 2, PROCEEDINGS, P701, DOI 10.1109/ICICTA.2008.71
   Wheeler S., 2003, LOCAL ENVIRON, V8, P317, DOI 10.1080/13549830306656
   Xia H., LTLGB 2012, P409, DOI [10.1007/978-3-642-34651-45_9, DOI 10.1007/978-3-642-34651-45_9]
   Xu K., 2018, Jianghai Acad. J., P97
   Yaman H, 2007, TRANSPORT RES B-METH, V41, P906, DOI 10.1016/j.trb.2007.03.003
   Yang XS, 2000, ENVIRON PLANN A, V32, P769, DOI 10.1068/a32114
   Yao J, 2019, T GIS, V23, P705, DOI 10.1111/tgis.12531
   Ye CH, 2018, J CLEAN PROD, V200, P65, DOI 10.1016/j.jclepro.2018.07.253
   Yikui M.O., 2009, TOD Strategy, V31, P116, DOI [10.11835/j.issn.1674-4764.2009.02.022, DOI 10.11835/J.ISSN.1674-4764.2009.02.022]
   Yu B, 2013, J TRANSP GEOGR, V33, P62, DOI 10.1016/j.jtrangeo.2013.09.008
   Yue Qiu, 2012, Proceedings of the 2012 9th International Conference on Service Systems and Service Management (ICSSSM 2012), P706, DOI 10.1109/ICSSSM.2012.6252331
   Zhang D, 2020, J CLEAN PROD, V264, DOI 10.1016/j.jclepro.2020.121537
   Zhao LJ, 2021, TUNN UNDERGR SP TECH, V116, DOI 10.1016/j.tust.2021.104086
   Zhong C, 2014, INT J GEOGR INF SCI, V28, P2178, DOI 10.1080/13658816.2014.914521
   Zhong Guo, 2014, Advanced Materials Research, V962-965, P2505, DOI 10.4028/www.scientific.net/AMR.962-965.2505
   Zhou SQ, 2025, WATER RES, V274, DOI 10.1016/j.watres.2025.123091
   Zhou SQ, 2024, J ENVIRON MANAGE, V369, DOI 10.1016/j.jenvman.2024.122330
   Zhou SQ, 2023, BUILD ENVIRON, V245, DOI 10.1016/j.buildenv.2023.110855
NR 129
TC 0
Z9 0
U1 9
U2 9
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAY
PY 2025
VL 152
AR 07507
DI 10.1016/j.landusepol.2025.107507
EA FEB 2025
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Y2A6T
UT WOS:001430222900001
DA 2025-04-22
ER

PT J
AU Zhao, TY
   Wang, JQ
   Sun, L
   D'Ayala, D
AF Zhao, Taiyi
   Wang, Jingquan
   Sun, Li
   D'Ayala, Dina
TI Modeling post-shock emergency transfers with the participation of
   connected-and-autonomous vehicles
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Public health resilience; Post-hazard transfer; Hospital systems;
   Agent-based model; Connected and autonomous vehicles; Route planning
ID RESILIENCE; CAPACITY; LIFE
AB This paper presents a new pathway towards the public health resilience, through the develop-ment of a principled understating on the post-hazard emergency transfer of the injured popula-tion across densely-populated urban communities, considering the deployment of connected and autonomous vehicles (CAVs). Given the influence on the system resilience of several parameters such as the number and distribution of CAVs, the initial geographic distribution of the injured and the spatiotemporal evolution of the functionality of the integrated hospital-road networks, a multi agent-based modelling (ABM) framework has been established to identify relevant patterns and bottlenecks in injured transfers across hazard-impacted urban communities. In such an ABM framework, each individual vehicle, transferring an injured inhabitant, is modelled as an inde-pendent agent, whose traveling is shaped by pre-defined behavioral attributes, while the inter-play among those agents is also considered, throughout the entire transfer campaign. Based on a hypothetically catastrophic earthquake scenario, such an ABM framework is employed to model the city-scale, post-shock transfer across Tangshan city, located in one of the most earthquake -prone regions of China. The simulation outcome reveals that the information sharing with regard to the real-time functionality of the local hospital system plays a strategically crucial role, to the avoidance of uncoordinated and prolonged transfers. Furthermore, owing to their capability of intelligent route planning, the participation of CAVs can substantially bolster the rapidity and ef-fectiveness of post-shock transfer campaigns.
C1 [Zhao, Taiyi; Wang, Jingquan] Southeast Univ, Sch Civil Engn, Key Lab Concrete & Prestressed Concrete Struct, Minist Educ, Nanjing, Peoples R China.
   [Sun, Li; D'Ayala, Dina] UCL, Dept Civil Environm & Geomat Engn, London, England.
C3 Southeast University - China; University of London; University College
   London
RP Wang, JQ (corresponding author), Southeast Univ, Sch Civil Engn, Key Lab Concrete & Prestressed Concrete Struct, Minist Educ, Nanjing, Peoples R China.; Sun, L (corresponding author), UCL, Dept Civil Environm & Geomat Engn, London, England.
EM wangjingquan@seu.edu.cn; li.sun@ucl.ac.uk
RI Zhao, Taiyi/O-1803-2014; Wang, Jingquan/AAQ-5977-2020; D'Ayala,
   Dina/B-6356-2019
OI D'Ayala, Dina/0000-0003-3864-2052
FU China Scholarship Council (CSC);  [202006090155]
FX Acknowledgements The first author would like to acknowledge the
   financial support from China Scholarship Council (CSC) , under the Grant
   No. 202006090155.
CR ATKINSON GM, 1995, B SEISMOL SOC AM, V85, P17
   Badue C, 2021, EXPERT SYST APPL, V165, DOI 10.1016/j.eswa.2020.113816
   Batty M., 2007, Cities and complexity: Understanding cities with cellular automata, agentbased models, and fractals
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   BRANSTON D, 1976, TRANSPORT RES, V10, P223, DOI 10.1016/0041-1647(76)90055-1
   Byun JE, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-11991-2
   Ceferino L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18072-w
   Ceferino L, 2018, ASCE-ASME J RISK U A, V4, DOI 10.1061/AJRUA6.0000972
   Cetin N., 2003, P SWISS TRANSP RES C
   Chen YX, 2021, J GEOPHYS RES-SOL EA, V126, DOI 10.1029/2020JB021395
   Cimellaro GP, 2017, EARTHQ ENG STRUCT D, V46, P985, DOI 10.1002/eqe.2840
   Cimellaro GP, 2011, EARTHQ ENG STRUCT D, V40, P1197, DOI 10.1002/eqe.1084
   Civljak R, 2020, J GLOB HEALTH, V10, DOI 10.7189/jogh.10.010349
   Coburn A., 1992, P 1 INT FORUM EARTHQ
   Del Papa J, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16101675
   Dijkstra E.W., 1959, Numer. Math, V1, P269
   Fagnant DJ, 2015, TRANSPORT RES A-POL, V77, P167, DOI 10.1016/j.tra.2015.04.003
   Feng KR, 2020, STRUCT INFRASTRUCT E, V16, P1578, DOI 10.1080/15732479.2020.1713170
   Fu X, 2022, J INTELL TRANSPORT S, V26, P572, DOI 10.1080/15472450.2021.1944133
   Glaeser E, 2011, SCIENCE, V333, P592, DOI 10.1126/science.1209264
   Hara Y, 2015, TRANSPORT RES A-POL, V75, P1, DOI 10.1016/j.tra.2015.03.002
   HART PE, 1968, IEEE T SYST SCI CYB, VSSC4, P100, DOI 10.1109/TSSC.1968.300136
   Hassan EM, 2020, RELIAB ENG SYST SAFE, V201, DOI 10.1016/j.ress.2020.106953
   He CY, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074028
   Helbing D, 2000, NATURE, V407, P487, DOI 10.1038/35035023
   Helbing D, 2009, EUR PHYS J B, V70, P257, DOI 10.1140/epjb/e2009-00213-5
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Jacques CC, 2014, EARTHQ SPECTRA, V30, P533, DOI 10.1193/032013EQS074M
   Jaiswal K, 2011, EARTHQ SPECTRA, V27, P775, DOI 10.1193/1.3606398
   Krishnamurthy V, 2016, J INFRASTRUCT SYST, V22, DOI 10.1061/(ASCE)IS.1943-555X.0000296
   Kroger W, 2011, VULNERABLE SYSTEMS, P1
   Kwiatkowski R, 2019, SCI ROBOT, V4, DOI 10.1126/scirobotics.aau9354
   Li QP, 2020, IEEE T INTELL TRANSP, V21, P1023, DOI 10.1109/TITS.2019.2900754
   Li XM, 2008, BMC PUBLIC HEALTH, V8, DOI 10.1186/1471-2458-8-319
   Lin CCJ, 2010, EARTHQ SPECTRA, V26, P1057, DOI 10.1193/1.3479947
   Lipson H., 2022, Driverless at Last: Cars, Artificial Intelligence, and You
   LOMNITZ C, 1978, NATURE, V271, P109, DOI 10.1038/271109a0
   Miller M, 2016, RELIAB ENG SYST SAFE, V147, P60, DOI 10.1016/j.ress.2015.10.018
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Russell S., 2021, Artificial Intelligence: A Modern Approach, Vfifth
   Schrittwieser J, 2020, NATURE, V588, P604, DOI 10.1038/s41586-020-03051-4
   Stupazzini M, 2021, EARTHQ ENG STRUCT D, V50, P99, DOI 10.1002/eqe.3365
   Sun L., 2015, P 12 INT C APPL STAT
   Sun L, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.108030
   Sun L, 2019, RISK ANAL, V39, P1597, DOI 10.1111/risa.13277
   Toma-Danila D, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.834052
   United Nations, 2018, WORLD URBANIZATION P
   van den Berg VAC, 2016, TRANSPORT RES B-METH, V94, P43, DOI 10.1016/j.trb.2016.08.018
   Wang HZ, 2016, TRANSPORT RES C-EMER, V64, P86, DOI 10.1016/j.trc.2015.11.010
   Wang Y, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102254
   WHO, 2022, WHO Coronavirus (Covid-19) Dashboard
   Wu Jianhong, 2010, Journal of Tsinghua University (Science and Technology), V50, P1168
   [闫佳琦 Yan Jiaqi], 2021, [工程力学, Engineering Mechanics], V38, P1
   Yavari S, 2010, EARTHQ SPECTRA, V26, P869, DOI 10.1193/1.3460359
   Zhai CH, 2022, J EARTHQ ENG, V26, P7119, DOI 10.1080/13632469.2021.1947419
   Zhang YH, 2020, IEEE ACCESS, V8, P124486, DOI 10.1109/ACCESS.2020.3002825
   Zhao TY, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102246
NR 58
TC 4
Z9 4
U1 4
U2 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD DEC
PY 2022
VL 83
AR 103436
DI 10.1016/j.ijdrr.2022.103436
EA NOV 2022
PG 14
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 6R8DS
UT WOS:000892528000007
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Allan, JV
   Kenway, SJ
   Head, BW
AF Allan, Julie, V
   Kenway, Steven J.
   Head, Brian W.
TI Urban water security priorities - an Australian industry perspective
SO WATER SUPPLY
LA English
DT Article
DE industry; interviews; objectives; priorities; stakeholders; urban water
   security
ID INTERVIEWS; SATURATION
AB Urban water security is a critical element of sustainable development, and sustainable water management requires a participatory and collaborative approach across all stakeholders. However, the literature suggests that there can be diverse and potentially conflicting views within community and expert groups. This research aimed to understand the extent of views within a group of industry professionals on objectives, themes and definitions of urban water security. Using 22 semi-structured interviews with participants from Queensland, Australia, we found that, for the group, the priorities for urban water security are water quality and human health, quantity of supply to meet efficient demand, and reliability and resilience of supply systems. We also found diverse views on the importance of sustainability, water-related hazards, environment and ecosystem health, affordability and risk to water security in the urban context. We conclude that there is agreement within the water service provider group on priority needs, and suggest there is potential for community and service providers to agree on urban water security needs. The research findings support operationalisation of security concepts, highlight potential barriers to achieving urban water security, and provide insights for further engagement with urban water stakeholders.
C1 [Allan, Julie, V; Kenway, Steven J.] Univ Queensland, Adv Water Management Ctr, St Lucia, Qld 4072, Australia.
   [Head, Brian W.] Univ Queensland, Ctr Policy Futures, St Lucia, Qld 4072, Australia.
C3 University of Queensland; University of Queensland
RP Allan, JV (corresponding author), Univ Queensland, Adv Water Management Ctr, St Lucia, Qld 4072, Australia.
EM j.allan@uq.net.au
RI Kenway, Steven/J-8031-2013; Head, Brian/B-9918-2016
OI Head, Brian/0000-0002-9915-0628
CR Allan J., 2018, WATER E J AUSTR WATE, V3, DOI [10.21139/wej.2018.012, DOI 10.21139/WEJ.2018.012]
   Allan JV, 2018, URBAN WATER J, V15, P899, DOI 10.1080/1573062X.2019.1574843
   [Anonymous], 2013, [No title captured]
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Cook C., 2016, HDB WATER SECURITY, DOI [10.4337/9781782548010, DOI 10.4337/9781782548010]
   Erlanger P., 2005, 14 WSAA
   Gerlak AK, 2018, ENVIRON SCI POLICY, V82, P79, DOI 10.1016/j.envsci.2018.01.009
   Gill P, 2008, BRIT DENT J, V204, P291, DOI 10.1038/bdj.2008.192
   Gorre-Dale E., 1992, DUBL STAT WAT SUST D
   Guest G, 2006, FIELD METHOD, V18, P59, DOI 10.1177/1525822X05279903
   Head BW, 2007, AUST J POLIT SCI, V42, P441, DOI 10.1080/10361140701513570
   Hennink MM, 2017, QUAL HEALTH RES, V27, P591, DOI 10.1177/1049732316665344
   Hoekstra AY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba52
   Killen A., 2019, WATER E J AUSTR WATE, V4, DOI [10.21139/wej.2019.006, DOI 10.21139/WEJ.2019.006]
   King N., 2018, Interviews in qualitative research
   Marshall N, 2012, PLANNING AUSTRALIA: AN OVERVIEW OF URBAN AND REGIONAL PLANNING, 2ND EDITION, P276
   McGrath S., 2017, DAMS RESERVOIRS, V28, P3
   Moore T., 2016, Community engagement: A key strategy for improving outcomes for Australian families
   Queensland Government, 2019, WAT REG 2016
   Queensland Water Supply Regulator, 2014, PLANN GUID WAT SUPPL
   UNESCO, 2019, WORLD WAT DEV REP 20
NR 21
TC 2
Z9 2
U1 2
U2 22
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 1606-9749
EI 1607-0798
J9 WATER SUPPLY
JI Water Supply
PD MAR
PY 2021
VL 21
IS 2
BP 710
EP 722
DI 10.2166/ws.2020.348
PG 13
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA QZ1UQ
UT WOS:000630520300017
OA hybrid
DA 2025-04-22
ER

PT J
AU Alves, PBR
   Amanguah, E
   Mcnally, D
   Espinoza, M
   Ghaedi, H
   Reilly, A
   Hendricks, M
AF Alves, Priscila Barros Ramalho
   Amanguah, Ebenezer
   Mcnally, Devin
   Espinoza, Maria
   Ghaedi, Hamed
   Reilly, Allison
   Hendricks, Marccus
TI Navigating the definition of urban flooding: a conceptual and systematic
   review of the literature
SO WATER SCIENCE AND TECHNOLOGY
LA English
DT Review
DE imperviousness; infrastructure; pluvial; social aspects; urban flooding
ID LOW IMPACT DEVELOPMENT; CLIMATE-CHANGE; COMMUNITY RESILIENCE; STORMWATER
   MANAGEMENT; SOCIAL VULNERABILITY; RISK; GOVERNANCE; RUNOFF;
   INFRASTRUCTURE; URBANIZATION
AB Urban flooding is a significant global challenge, posing risks to urban planners, policymakers, and communities. This paper reviews the literature to analyze how urban flooding is defined across scientific disciplines. Our objectives are to uncover the elements used to define urban flooding and evaluate how these elements can impact future research and practice. A key difficulty is the lack of a consistent, comprehensive definition that captures both physical and social dimensions of urban flooding. Current definitions often focus solely on physical aspects (e.g., rainfall, infrastructure) or social impacts, rarely integrating both. This fragmentation hinders effective flood risk management and interdisciplinary collaboration. Our contribution is a multifaceted definition incorporating spatial and social concerns, including water origins, built environment characteristics, and local community aspects. We introduce the "Urban Water Transect" concept to illustrate the continuum of flood risk across urban zones, addressing a gap in the literature. The analysis reveals that many papers discuss flooding causes without providing an explicit definition. Urban flooding is predominantly defined based on water source, imperviousness, and drainage infrastructure. Future research should adopt an interdisciplinary perspective considering both physical and social aspects, potentially transforming urban flood risk management.
C1 [Alves, Priscila Barros Ramalho; Amanguah, Ebenezer; Mcnally, Devin; Espinoza, Maria; Hendricks, Marccus] Univ Maryland, Sch Architecture Planning & Preservat, Stormwater Infrastruct Resilience & Justice SIRJ L, College Pk, MD 20742 USA.
   [Ghaedi, Hamed; Reilly, Allison] Univ Maryland, A James Clark Sch Engn, Civil & Environm Engn Program, College Pk, MD USA.
C3 University System of Maryland; University of Maryland College Park;
   University System of Maryland; University of Maryland College Park
RP Alves, PBR (corresponding author), Univ Maryland, Sch Architecture Planning & Preservat, Stormwater Infrastruct Resilience & Justice SIRJ L, College Pk, MD 20742 USA.
EM pbralves@umd.edu
RI Barros Ramalho Alves, Priscila/GLT-7325-2022; Reilly,
   Allison/HGA-8219-2022
OI Barros Ramalho Alves, Priscila/0000-0003-3489-8552
FU Stormwater Infrastructure Resilience and Justice (SIRJ) Lab at the
   School of Architecture Planning and Preservation at the University of
   Maryland
FX The authors of this paper are thankful for the support given by
   researchers from the Stormwater Infrastructure Resilience and Justice
   (SIRJ) Lab at the School of Architecture Planning and Preservation at
   the University of Maryland. We also thank Chad Smith for developing the
   awesome graphics of this paper.
CR Ahmad MN, 2023, ENVIRON SCI POLLUT R, V30, P125774, DOI 10.1007/s11356-023-30990-y
   Almoradie A, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12664
   Alves PBR, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103905
   Alves PBR, 2022, WATER SCI TECHNOL, V85, P987, DOI 10.2166/wst.2021.513
   Alves PBR, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010302
   [Anonymous], 1993, Guidance Specifying Management Measures for Sources of Nonpoint Pollution in Coastal Waters
   Ashley R., 2020, MANAGING FLOODING PR, P22
   Brody S, 2014, J ENVIRON PLANN MAN, V57, P1252, DOI 10.1080/09640568.2013.802228
   Butler D., 2018, Urban Drainage
   Cho SY, 2017, NAT HAZARDS, V88, P633, DOI 10.1007/s11069-017-2869-4
   Çirag B, 2023, WATER SCI TECHNOL, V87, P2577, DOI 10.2166/wst.2023.126
   Coseo P, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10060347
   Coulthard TJ, 2010, J FLOOD RISK MANAG, V3, P223, DOI 10.1111/j.1753-318X.2010.01072.x
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Ruiter MC, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.104720
   de Ruiter MC, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001425
   Di Baldassarre G, 2021, NAT HAZARD EARTH SYS, V21, P3439, DOI 10.5194/nhess-21-3439-2021
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Duany A, 2002, J AM PLANN ASSOC, V68, P245, DOI 10.1080/01944360208976271
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   Fasihi S, 2021, WATER-SUI, V13, DOI 10.3390/w13192788
   FEMA, 2020, FLOOD FLOODING
   Fereshtehnejad E, 2021, NAT HAZARDS REV, V22, DOI 10.1061/(ASCE)NH.1527-6996.0000459
   Festing, 2014, PREVALENCE COST URBA
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Fuchs S, 2011, NAT HAZARDS, V58, P609, DOI 10.1007/s11069-011-9825-5
   Giovannettone J, 2018, WATER RESOUR RES, V54, P7603, DOI [10.1029/2018WR023018, 10.1029/2018wr023018]
   Hazarika N, 2018, J FLOOD RISK MANAG, V11, pS700, DOI 10.1111/jfr3.12237
   Hendricks M. D., 2021, HAZARD VULNERABILITY, V14, P87, DOI [10.1089/env.2020.0054, DOI 10.1089/ENV.2020.0054]
   IBGE, 2015, URBANIZED AREAS BRAZ
   IPCC, 2021, CLIMATE CHANGE 2021, P3, DOI [10.1017/9781009325844, DOI 10.1017/9781009157896.001, 10.1017/9781009157896.001, DOI 10.1017/9781009157926, 10.1017/CBO9781107415324, DOI 10.1017/CBO9781107415324]
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Kaspersen PS, 2017, HYDROL EARTH SYST SC, V21, P4131, DOI 10.5194/hess-21-4131-2017
   Kim HW, 2016, APPL GEOGR, V77, P72, DOI 10.1016/j.apgeog.2016.10.008
   Klijn F, 2015, MITIG ADAPT STRAT GL, V20, P845, DOI 10.1007/s11027-015-9638-z
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Kreibich H, 2022, NATURE, V608, P80, DOI 10.1038/s41586-022-04917-5
   Larsen L, 2014, J PLAN EDUC RES, V34, P5, DOI 10.1177/0739456X13516498
   Leonard M, 2014, WIRES CLIM CHANGE, V5, P113, DOI 10.1002/wcc.252
   Livingston E.H., 1992, Stormwater management: A guide for floridians
   Mailhot A, 2010, J WATER RES PLAN MAN, V136, P201, DOI 10.1061/(ASCE)WR.1943-5452.0000023
   Maksimovic C, 2009, J HYDRAUL RES, V47, P512, DOI 10.1080/00221686.2009.9522027
   Marchi L, 2010, J HYDROL, V394, P118, DOI 10.1016/j.jhydrol.2010.07.017
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Matsler M, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104145
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meierdiercks KL, 2010, J AM WATER RESOUR AS, V46, P932, DOI 10.1111/j.1752-1688.2010.00465.x
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Moore TL, 2016, CLIMATIC CHANGE, V138, P491, DOI 10.1007/s10584-016-1766-2
   National Academies of Sciences Engineering and Medicine, 2019, FRAMING CHALLENGE UR, P25381
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ogden FL, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010550
   Monte BEO, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101970
   Owusu-Ansah JK, 2016, GEOJOURNAL, V81, P555, DOI 10.1007/s10708-015-9636-4
   Pallathadka A, 2022, LANDSCAPE URBAN PLAN, V223, DOI 10.1016/j.landurbplan.2022.104417
   Park M, 2024, CITIES, V150, DOI 10.1016/j.cities.2024.105010
   Parkinson J., 2003, DRAINAGE STORMWATER, P12
   Pathirana A, 2014, ATMOS RES, V138, P59, DOI 10.1016/j.atmosres.2013.10.005
   Qiao XJ, 2018, J CLEAN PROD, V196, P943, DOI 10.1016/j.jclepro.2018.06.049
   Qin JT, 2024, ENVIRON MODELL SOFTW, V172, DOI 10.1016/j.envsoft.2023.105888
   Ramachandran R, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071912
   Ramos HM, 2017, FLUIDS, V2, DOI 10.3390/fluids2040061
   Ranganathan M, 2015, ANTIPODE, V47, P1300, DOI 10.1111/anti.12149
   Rözer V, 2016, WATER-SUI, V8, DOI 10.3390/w8070304
   Rollason E, 2018, NAT HAZARDS, V92, P1665, DOI 10.1007/s11069-018-3273-4
   Rosenheim Nathanael, 2021, Sustainable and Resilient Infrastructure, V6, P385, DOI 10.1080/23789689.2019.1681821
   Rubinato M, 2019, WATER SCI ENG, V12, P274, DOI 10.1016/j.wse.2019.12.004
   Safaei-Moghadam A, 2023, NAT HAZARD EARTH SYS, V23, P1, DOI 10.5194/nhess-23-1-2023
   Sandink D, 2016, J FLOOD RISK MANAG, V9, P208, DOI 10.1111/jfr3.12168
   Sandink D, 2022, WATER-SUI, V14, DOI 10.3390/w14111716
   Saraswat Kumar P., 2016, ASSESSMENT STORMWATE, DOI [10.1016/j.envsci.2016.06.018, DOI 10.1016/J.ENVSCI.2016.06.018]
   Schipper ELF, 2021, CLIMATIC CHANGE, V168, DOI 10.1007/s10584-021-03237-3
   Shah MAR, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101728
   Siljeg A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152115563
   Smith BK, 2013, WATER RESOUR RES, V49, P2649, DOI 10.1002/wrcr.20223
   Smith B, 2017, WATER-SUI, V9, DOI 10.3390/w9100736
   Sörensen J, 2019, J WATER RES PLAN MAN, V145, DOI 10.1061/(ASCE)WR.1943-5452.0001037
   Soetanto R, 2017, NAT HAZARDS, V86, P1105, DOI 10.1007/s11069-016-2732-z
   Sörensen J, 2016, WATER-SUI, V8, DOI 10.3390/w8080332
   Srikandini AG, 2018, POLITICS GOV, V6, P180, DOI 10.17645/pag.v6i3.1598
   Suriya S, 2012, J HYDROL, V412, P210, DOI 10.1016/j.jhydrol.2011.05.008
   Tingsanchali T, 2012, PROCEDIA ENGINEER, V32, P25, DOI 10.1016/j.proeng.2012.01.1233
   Truu M, 2021, WATER-SUI, V13, DOI 10.3390/w13233340
   UNISDR, 2019, TERMINOLOGY DISASTER
   Vanelli FM, 2022, HYDROL EARTH SYST SC, V26, P2301, DOI 10.5194/hess-26-2301-2022
   Ward PJ., 2020, Water Security, V11, P100070, DOI DOI 10.1016/J.WASEC.2020.100070
   Wheater H, 2009, LAND USE POLICY, V26, pS251, DOI 10.1016/j.landusepol.2009.08.019
   Willems P, 2012, ATMOS RES, V103, P106, DOI 10.1016/j.atmosres.2011.04.003
   Wu XS, 2017, J HYDROL, V547, P428, DOI 10.1016/j.jhydrol.2017.02.020
   Xu SC, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128985
   Xu T, 2023, WATER SCI TECHNOL, V87, P2820, DOI 10.2166/wst.2023.149
   Yao L, 2016, ECOL INDIC, V60, P893, DOI 10.1016/j.ecolind.2015.08.041
   Yu DP, 2015, J HYDROL, V524, P385, DOI 10.1016/j.jhydrol.2015.02.040
   Zhu ZH, 2019, J ENVIRON MANAGE, V231, P504, DOI 10.1016/j.jenvman.2018.10.046
NR 95
TC 0
Z9 0
U1 25
U2 25
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 0273-1223
EI 1996-9732
J9 WATER SCI TECHNOL
JI Water Sci. Technol.
PD NOV 15
PY 2024
VL 90
IS 10
BP 2796
EP 2812
DI 10.2166/wst.2024.351
EA OCT 2024
PG 17
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA N8E4C
UT WOS:001340398700001
PM 39612175
OA gold
DA 2025-04-22
ER

PT J
AU Hawken, S
   Avazpour, B
   Harris, MS
   Marzban, A
   Munro, PG
AF Hawken, Scott
   Avazpour, Behnaz
   Harris, Mike S.
   Marzban, Atousa
   Munro, Paul George
TI Urban megaprojects and water justice in Southeast Asia: Between global
   economies and community transitions
SO CITIES
LA English
DT Article
DE Ecosystem service; Human rights; Megaproject; urban design; urban
   development; urban transition; Water management
ID PORT-CITY INTERFACE; CHI MINH CITY; PHNOM-PENH; POLITICAL-ECONOMY;
   PROJECTS; CITIES; GLOBALIZATION; URBANIZATION; RESILIENCE; GOVERNANCE
AB Within the Southeast Asian context, urban megaprojects are often delivered in aquatic or semi-aquatic contexts, transforming local hydrological systems used for sanitation, agriculture, sustenance, resource use and cultural purposes by the local populations. This paper addresses a key knowledge gap on the impacts of urban megaprojects on water security and water-related human rights in Southeast Asia through a literature review, field observations and digital earth observation. Three case studies in Cambodia, Vietnam and Myanmar were used to develop a picture of urban megaproject impacts on urban water landscapes and the human rights of local communities. The paper adapts recent human rights frameworks developed specifically for megaproject life cycles and applies them to the selected urban megaproject case studies. The seven stages in the megaproject life cycle are linked with specific accountability measures for duty bearers. Current challenges and opportunities for the global urban development community are developed in relation to water justice and megaprojects. Further the question of a just urban transition is developed to mediate between megaproject proponents and local communities in the Global South.
C1 [Hawken, Scott] Univ Adelaide, Sch Architecture & Built Environm, Adelaide, SA 5005, Australia.
   [Avazpour, Behnaz; Harris, Mike S.] UNSW Sydney, Fac Built Environm, Sydney, NSW 2052, Australia.
   [Marzban, Atousa] Portland Design, White Chapel Bldg,10 Whitechapel High St, London E1 8QS, England.
   [Munro, Paul George] UNSW Sydney, Fac Arts & Social Sci, Sydney, NSW 2052, Australia.
C3 University of Adelaide; University of New South Wales Sydney; University
   of New South Wales Sydney
RP Hawken, S (corresponding author), Univ Adelaide, Sch Architecture & Built Environm, Adelaide, SA 5005, Australia.
EM scott.hawken@adelaide.edu.au
RI Munro, Paul/AAJ-5532-2020; Avazpour, Behnaz/MIN-9479-2025; Harris,
   Mike/JDC-8027-2023; Hawken, Scott/K-8950-2018
OI Avazpour, Behnaz/0000-0002-8445-2316; Harris, Mike
   S./0000-0002-7999-5754; Munro, Paul George/0000-0003-3768-0006; Hawken,
   Scott/0000-0001-6874-3730
FU Urban Water Resilience Lab UNSW; University of New South Wales
   CrossFaculty Research Grant [RG182531]
FX Authors would like to thank the Urban Water Resilience Lab UNSW and the
   University of New South Wales CrossFaculty Research Grant RG182531 for
   providing the collaborative context and funding for the research. The
   authors would also like to thank Dr Lucie Bland for proof reading and
   editing of the draft paper.
CR Ait-Kadi M., 2012, WORKING PAPER
   Allen Adriana., 2017, Environmental Justice and Urban Resilience in the Global South New York, DOI 10.1057/978-1-137-47354-76
   Altshuler A.A., 2004, MEGA PROJECTS CHANGI
   Anderson D., 2017, RESULTING PROTESTS C
   [Anonymous], 2017, M ASIAS INFRASTRUCTU
   [Anonymous], 2019, HASTINGS RACE POVERT
   [Anonymous], 2017, URBAN DEV
   [Anonymous], 2019, S CHINA MORNING POST
   [Anonymous], 2009, ECONOMIST, P48
   Arthurton RS, 1998, OCEAN COAST MANAGE, V40, P65, DOI 10.1016/S0964-5691(98)00077-5
   Athukorala Prema-chandra., 2011, ASEAN Economic Bulletin, V28, P115
   Axsater S., 2015, Inventory Control, V3rd
   Baliga A., 2017, PHNOM PENH POST
   Bangalore M., 2019, EC DISASTERS CLIMATE, V3, P2079
   Barnett C, 2016, ENVIRON URBAN, V28, P87, DOI 10.1177/0956247815621473
   Boelens R., 2018, WATER JUSTICE, P1
   Bomstein Lisa., 2010, City, Culture and Society, V1, P199, DOI [https://doi.org/10.1016/j.ccs.2011.01.006, DOI 10.1016/J.CCS.2011.01.006]
   Cain C, 2014, SOCIOL FORUM, V29, P937, DOI 10.1111/socf.12127
   Cairns S., 2018, HORIZONTAL METROPOLI, P131
   Chilvers J, 2016, REMAKING PARTICIPATION: SCIENCE, ENVIRONMENT AND EMERGENT PUBLICS, P1
   Cho I. S., 2017, POSTDEVELOPMENTAL CI
   Chu E., 2018, ROUTLEDGE COMPANION, P169
   Cook BR, 2019, GLOBAL ENVIRON CHANG, V56, P56, DOI 10.1016/j.gloenvcha.2019.03.001
   Cook C, 2012, GLOBAL ENVIRON CHANG, V22, P94, DOI 10.1016/j.gloenvcha.2011.10.011
   Coutard Olivier., 2015, Beyond the Networked City: Infrastructure Reconfigurations and Urban Change in the North and South
   Coy M, 2006, GEOJOURNAL, V66, P121, DOI 10.1007/s10708-006-9011-6
   Crow B., 2018, Water Justice, P89, DOI [10.1017/9781316831847.006, DOI 10.1017/9781316831847.006]
   Crowe S, 2011, BMC MED RES METHODOL, V11, DOI 10.1186/1471-2288-11-100
   Daamen TA, 2013, J TRANSP GEOGR, V27, P4, DOI 10.1016/j.jtrangeo.2012.03.013
   Daniere AG, 2019, URBAN BOOK SERIES, P1, DOI 10.1007/978-3-319-98968-6_1
   Datta A., 2016, Mega-urbanization in the global south: Fast cities and new urban utopias of the postcolonial state
   de Bruijn H, 2015, PROCEDIA COMPUT SCI, V44, P659, DOI 10.1016/j.procs.2015.03.070
   Delvert J., 1994, Paysan Cambodgien
   Desakota Study, 2008, RE IM RUR URB CONT U
   Desakota Study Team, 2008, RE IMAGINING RURAL U
   Di Maddaloni F, 2017, INT J PROJ MANAG, V35, P1537, DOI 10.1016/j.ijproman.2017.08.011
   Douglass M, 2010, ENVIRON URBAN ASIA, V1, P45, DOI 10.1177/097542530900100105
   Douglass M, 2018, ENVIRON PLAN E-NAT, V1, P271, DOI 10.1177/2514848618797333
   Douglass M, 2007, INT J ASIA PAC STUD, V3, P1
   Duy PN, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000419
   Duy PN, 2018, INT J CLIM CHANG STR, V10, P197, DOI 10.1108/IJCCSM-12-2016-0169
   Ea K., 2018, E ASIA FORUM
   Eco-Business, 2019, EC
   EJOLT, 2019, AM URB DEV PROJ
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   Flyvbjerg B., 2017, The Oxford Handbook of Megaproject Management
   Flyvbjerg B., 2011, The Oxford Handbook of Project Management, P00, DOI DOI 10.1093/OXFORDHB/9780199563142.003.0014
   Flyvbjerg B., 2007, Truth and Lies about Megaprojects
   Flyvbjerg B, 2014, PROJ MANAG J, V45, P6, DOI 10.1002/pmj.21409
   Follmann A, 2015, HABITAT INT, V45, P213, DOI 10.1016/j.habitatint.2014.02.007
   Gandy M, 2005, INT J URBAN REGIONAL, V29, P26, DOI 10.1111/j.1468-2427.2005.00568.x
   Gandy Matthew., 2004, The Emancipatory City-Paradoxes and Possibilities, P178
   Gleick P.H., 2004, WORLDS WATER 2004 20
   Graham S., 2001, SPLINTERING URBANISM
   Graham Stephen., 2009, DISRUPTED CITIES INF
   Grzybowski M, 2019, HYDROGEOL J, V27, P1497, DOI 10.1007/s10040-018-01922-9
   Hanakata NC, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0141-5
   Harms E, 2016, ASIA-LOCAL STUD GLOB, P1, DOI 10.1525/luminos.20
   Harms E, 2019, INT PLAN STUD, V24, P53, DOI 10.1080/13563475.2018.1533453
   Harris M, 2018, URBAN REGENERATION IN AUSTRALIA: POLICIES, PROCESSES AND PROJECTS OF CONTEMPORARY URBAN CHANGE, P111
   Harris M, 2017, PROJ MANAG J, V48, P76, DOI 10.1177/875697281704800607
   Hawken S., 2019, IMPACTS URBAN MEGAPR, DOI [10.26190/5ce4abb1e863a, DOI 10.26190/5CE4ABB1E863A]
   Hawken S., 2020, Open Cities | Open Data: Collaborative Cities in the Information Era, V1st
   Hawken S., 2014, 35 AS C REM SENS
   Hawken S, 2020, OPEN CITIES | OPEN DATA: COLLABORATIVE CITIES IN THE INFORMATION ERA, P1, DOI 10.1007/978-981-13-6605-5_1
   Hawken S, 2017, HERITAGE, CULTURE AND RIGHTS: CHALLENGING LEGAL DISCOURSES, P91
   Heller L., 2019, IMPACT MEGA PROJECTS
   Heller L., 2018, Report of the Official Country Visit to Malaysia 14-27 November 2018
   Hesse M, 2018, TIJDSCHR ECON SOC GE, V109, P210, DOI 10.1111/tesg.12282
   Hirschman Albert., 2015, Development Projects Observed
   Ho KC, 2008, INT DEV PLANN REV, V30, P199, DOI 10.3828/idpr.30.3.1
   Hoekstra AY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba52
   Huang H, 2016, APPL GEOGR, V69, P99, DOI 10.1016/j.apgeog.2014.12.014
   Huynh D., 2015, INT J SUSTAINABLE BU, V4, P125, DOI DOI 10.1016/J.IJSBE.2015.03.005
   Inclusive Development International, 2016, CAMB BOEUNG KAK LAK
   Jackson W., 2017, ABC NEWS
   Janssen-Jansen LB, 2017, ENVIRON PLANN A, V49, P205, DOI 10.1177/0308518X16664730
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Jones G. W., 2008, MEGAURBAN REGIONS PA
   Jones GarethA., 2007, CITY, V11, P144, DOI [https://doi.org/10.1080/13604810701395969, DOI 10.1080/13604810701395969]
   Joshi D, 2015, GEOFORUM, V61, P111, DOI 10.1016/j.geoforum.2015.02.020
   Judd DR, 2007, GOVERNING CITIES IN A GLOBAL ERA: URBAN INNOVATION, COMPETITION, AND DEMOCRATIC REFORM, P151
   Kaika Maria., 2006, In The Nature of Cities: Urban Political Ecology and the Politics of Urban Metabolism
   Karlsson-Vinkhuyzen S, 2018, ENVIRON PLAN C-POLIT, V36, P1371, DOI 10.1177/2399654418779995
   Kelly PF, 2007, ASIA PAC VIEWP, V48, P250, DOI 10.1111/j.1467-8373.2007.00344.x
   Kennedy L, 2015, HABITAT INT, V45, P163, DOI 10.1016/j.habitatint.2014.07.001
   Kim A. M., 2016, Messy Urbanism: Understanding the "Other"Cities of Asia, P22
   Klijn F, 2013, INT J RIVER BASIN MA, V11, P287, DOI 10.1080/15715124.2013.811418
   Ko K. K., 2017, MYANMAR TIMES
   Kry S., 2014, CAMBODIA LAW POLICY
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Kulp SA, 2018, REMOTE SENS ENVIRON, V206, P231, DOI 10.1016/j.rse.2017.12.026
   Kum V, 2005, WASTE MANAGE, V25, P101, DOI 10.1016/j.wasman.2004.09.004
   Kumaraswamy M, 2017, BUILT ENVIRON PROJ A, V7, P441, DOI 10.1108/BEPAM-01-2017-0003
   La Loggia G., 2020, WATER RESOURCES MANA, P1
   Lasage R, 2014, NAT HAZARD EARTH SYS, V14, P1441, DOI 10.5194/nhess-14-1441-2014
   Lawanson T, 2018, AREA DEV POLICY, V3, P114, DOI 10.1080/23792949.2017.1399804
   Lawhon M, 2018, URBAN STUD, V55, P720, DOI 10.1177/0042098017720149
   Leitold R, 2019, J MAPS, V15, P13, DOI 10.1080/17445647.2018.1548385
   Lien C., 2019, PUBLIC SPACE DESIGN
   Lu Denise., 2019, New York times
   MacInnes M, 2015, EARTH CONSERV DEV, P95
   Maher R, 2019, GEOFORUM, V107, P231, DOI 10.1016/j.geoforum.2019.06.013
   Mann Z., 2017, IRRAWADDY IRRAWADDY
   Marton A.M., 2002, ASIA PAC VIEWP, V43, P23, DOI DOI 10.1111/1467-8373.00156
   Mcgee T, 2009, Urbanization and formation of ethnicity in Southeast Asia
   McGee T.G., 1989, URBANIZATION ASIA SP, P93, DOI DOI 10.1515/9780824890650-008
   McGee TG, 2007, ASIA PAC VIEWP, V48, P270, DOI 10.1111/j.1467-8373.2007.00339.x
   MCGEE TG, 1991, EXTENDED METROPOLIS, P3
   Melo Zurita M. L., 2018, WATER-SUI, V10, P1
   Merk O., 2012, OECD Regional Development Working Papers. 2012/09
   Meyer C.B., 2001, Field Methods, V13, P329, DOI [10.1177/1525822X0101300402, DOI 10.1177/1525822X0101300402]
   Mialhe F, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104061
   Miller F, 2020, URBAN STUD, V57, P1570, DOI 10.1177/0042098019830239
   Miller M. A., 2015, DISASTER GOVERNANCE
   Miller MA, 2020, URBAN STUD, V57, P1359, DOI 10.1177/0042098020903955
   Monstadt J, 2017, INT J URBAN REGIONAL, V41, P104, DOI 10.1111/1468-2427.12436
   Moulaert Frank., 2003, The Globalized City : Economic Restructuring and Social Polarization in European Cities: Economic Restructuring and Social Polarization in European Cities
   Munro P, 2020, URBAN GEOGR, V41, P428, DOI 10.1080/02723638.2019.1698867
   Nam Sylvia., 2011, TRADITIONAL DWELLING, V13, P55
   Niemczynowicz J, 1996, WATER INT, V21, P198, DOI 10.1080/02508069608686515
   Olds K, 1995, ENVIRON PLANN A, V27, P1713, DOI 10.1068/a271713
   Olds Kris., 2001, Globalization and Urban Change: Capital, Culture, and Pacific Rim Megaprojects
   Othman Ayman Ahmed Ezzat, 2013, Organization, Technology and Management in Construction: An International Journal, V5, P730, DOI 10.5592/otmcj.2013.1.10
   Padawangi R, 2019, ASIA PAC VIEWP, V60, P65, DOI 10.1111/apv.12213
   Padawangi R, 2015, PAC AFF, V88, P517, DOI 10.5509/2015883517
   Palazzo E, 2019, J URBAN DES, V24, P137, DOI 10.1080/13574809.2018.1511972
   Paling W, 2012, URBAN STUD, V49, P2889, DOI 10.1177/0042098012452457
   Pekel JF, 2016, NATURE, V540, P418, DOI 10.1038/nature20584
   Percival T, 2012, URBAN STUD, V49, P2873, DOI 10.1177/0042098012452461
   Phnom Penh Post P, 2008, TRACK DEV PHNOM PENH
   Pierdet C, 2012, SOUTH EAST ASIA RES, V20, P263, DOI 10.5367/sear.2012.0108
   Pieterse E., 2011, Development, V54, P309
   Pink Ross Michael., 2016, Water Rights in Southeast Asia and India, DOI DOI 10.1057/9781137504234
   Plummer R, 2018, ENVIRON POLICY GOV, V28, P67, DOI 10.1002/eet.1796
   Plummer R, 2018, ENVIRON PLAN C-POLIT, V36, P1068, DOI 10.1177/2399654417732576
   PPCC, 2019, PHNOM PENH CIT CTR P
   Pye D., 2016, MONGABAY ENV NEWS
   Quynh L., 2018, NOOSE LIFE RING HO C
   Radhakrishnan M, 2018, CITIES, V78, P87, DOI 10.1016/j.cities.2018.01.022
   Ranganathan M, 2015, URBAN GEOGR, V36, P403, DOI 10.1080/02723638.2015.1005414
   Reeder G, 2019, URBAN BOOK SERIES, P103, DOI 10.1007/978-3-319-98968-6_6
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Rizzo A, 2020, URBAN STUD, V57, P1520, DOI 10.1177/0042098018812009
   Rizzo A, 2019, URBAN GEOGR, V40, P1, DOI 10.1080/02723638.2018.1505156
   Robinson I. M., 2011, MEGA URBAN REGIONS S
   Rodríguez-Labajos B, 2015, WIRES WATER, V2, P537, DOI 10.1002/wat2.1092
   Romero-Lankao P, 2016, CURR OPIN ENV SUST, V21, P45, DOI 10.1016/j.cosust.2016.11.002
   Roth D, 2019, CLIM POLICY, V19, pS78, DOI 10.1080/14693062.2018.1530967
   Roy A, 2011, STUD URBAN SOC CH, P1, DOI 10.1002/9781444346800
   Sanderson D., 2019, Good Practice Review 12
   Santamaria GD, 2013, RES URBAN SOCIOL, V13, P1, DOI 10.1108/S1047-0042(2013)13
   Sassen S., 2018, CITIES WORLD EC
   Sassen S., 2018, EXPULSIONS BRUTALITY
   Schneider H., 2011, Pacific News, V36, P4
   Sclar E, 2015, J ECON POLICY REFORM, V18, P1, DOI 10.1080/17487870.2014.950857
   Selin C, 2016, REMAKING PARTICIPATION: SCIENCE, ENVIRONMENT AND EMERGENT PUBLICS, P218
   Seto KC, 2011, GLOBAL ENVIRON CHANG, V21, pS94, DOI 10.1016/j.gloenvcha.2011.08.005
   Shatkin G, 2008, ENVIRON PLANN A, V40, P383, DOI 10.1068/a38439
   Shatkin G, 2016, CITIES, V53, P141, DOI 10.1016/j.cities.2015.11.015
   Siemiatycki M, 2013, J ECON POLICY REFORM, V16, P160, DOI 10.1080/17487870.2013.797904
   Silva S, 2019, J CLEAN PROD, V217, P204, DOI 10.1016/j.jclepro.2019.01.203
   Spiral Architects & Planners, 2016, MAND GREEN CIT AM UR
   STONE CN, 1993, J URBAN AFF, V15, P1, DOI 10.1111/j.1467-9906.1993.tb00300.x
   Storch H, 2011, CITIES, V28, P517, DOI 10.1016/j.cities.2011.07.002
   Strauch L, 2015, HABITAT INT, V45, P177, DOI 10.1016/j.habitatint.2014.02.005
   Sultana F., 2019, Water politics: governance, justice and the right to water
   Swyngedouw E, 2003, ANTIPODE, V35, P898, DOI 10.1111/j.1467-8330.2003.00364.x
   Temper L, 2018, SUSTAIN SCI, V13, P573, DOI 10.1007/s11625-018-0563-4
   Temper L, 2018, SUSTAIN SCI, V13, P747, DOI 10.1007/s11625-018-0543-8
   Le TTH, 2018, GEOJOURNAL, V83, P783, DOI 10.1007/s10708-017-9803-x
   TUROK I, 1992, ENVIRON PLANN A, V24, P361, DOI 10.1068/a240361
   UN HABITAT, 2017, 2017 HAB 3
   Van Kempen P. R., 2005, RESTRUCTURING LARGE
   Vireak T., 2019, PHNOM PENH POST
   Waibel M., 2004, PACIFIC NEWS, V22, P10
   Watson V, 2020, URBAN PLAN, V5, P35, DOI 10.17645/up.v5i2.2989
   Watson V, 2014, ENVIRON URBAN, V26, P215, DOI 10.1177/0956247813513705
   Welsh J., 2008, THE CAMBODIA DAILY
   Wiig A, 2019, REG STUD, V53, P912, DOI 10.1080/00343404.2019.1566703
   Witness G., 2016, HOSTILE TAKEOVER COR
   World Food Program, 2019, URB VULN PHNOM PENH
   WRIGHT G, 1987, J MOD HIST, V59, P291, DOI 10.1086/243186
   Wright Gwendolyn., 1991, The Politics of Design in French Colonial Urbanism
   Yin M., 2008, U RES J, V1
   Yin R.K., 2014, Applications of case study research, V2nd
   Zurita MDM, 2015, GEOFORUM, V65, P170, DOI 10.1016/j.geoforum.2015.07.022
   Zwarteveen MZ, 2014, WATER INT, V39, P143, DOI 10.1080/02508060.2014.891168
NR 189
TC 15
Z9 15
U1 2
U2 23
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUN
PY 2021
VL 113
AR 103068
DI 10.1016/j.cities.2020.103068
EA APR 2021
PG 17
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA SD1UR
UT WOS:000651152900013
OA Green Published
DA 2025-04-22
ER

PT J
AU Zhu, Z
   Wang, Z
   Yu, S
   Tang, ZM
   Liu, B
AF Zhu, Zheng
   Wang, Zhen
   Yu, Song
   Tang, Zhaomei
   Liu, Bin
TI The impact of the digital economy on food system resilience: Evidence
   from China
SO PLOS ONE
LA English
DT Article
AB Despite the widespread influence of the burgeoning digital economy on agricultural productivity in recent years, China's food system confronts numerous challenges. Notably, research exploring the digital economy's impact on food system resilience remains scarce, and the pivotal role of industrial agglomeration in this context remains unclear. Therefore, this article is based on the panel data of 30 provinces in China from 2011 to 2021, this paper empirically examines the direct effect, the mechanism of action, and the spatial spillover effect of the resilience of a digital economy-enabled food system using a double fixed-effects model, mediated-effects model, and spatial econometric model. The results show the following: (1) The resilience of China's urban food system shows obvious spatial differences, but the overall trend in improvement requires attention. (2) The development of a digital economy has a facilitating effect on the level of resilience of the food system, and industrial agglomeration induces an intermediary effect. (3) The digital economy has a significant positive spatial spillover effect on the resilience of the food system; i.e., the digital economy can improve the resilience of the food system in the region and the neighboring regions. Accordingly, policy recommendations have been put forward to improve infrastructure construction and promote the development of digital villages; strengthen the construction of industrial agglomerations and promote the enhancement of the quality and efficiency of industries; and promote the development of regional linkages and build a solid foundation for food security.
C1 [Zhu, Zheng] Jiangxi Daily, Nanchang, Jiangxi, Peoples R China.
   [Zhu, Zheng; Yu, Song; Liu, Bin] Jiangxi Agr Univ, Sch Econ & Management, Nanchang, Jiangxi, Peoples R China.
   [Wang, Zhen] Sichuan Agr Univ, Sch Econ, Chengdu, Sichuan, Peoples R China.
   [Tang, Zhaomei] YuZhang Normal Univ, Nanchang, Jiangxi, Peoples R China.
C3 Jiangxi Agricultural University; Sichuan Agricultural University;
   Yuzhang Normal University
RP Liu, B (corresponding author), Jiangxi Agr Univ, Sch Econ & Management, Nanchang, Jiangxi, Peoples R China.; Wang, Z (corresponding author), Sichuan Agr Univ, Sch Econ, Chengdu, Sichuan, Peoples R China.
EM 18870478773@163.com; liubin@jxau.edu.cn
OI Liu, Bin/0009-0003-4122-4406
FU National Natural Science Foundation of China [71563016]
FX This research was funded by the National Natural Science Foundation of
   China (grant no. 71563016), Key Research Base Project of Humanities and
   Social Sciences in colleges and uni-versities of Jiangxi Province
   (JD21080), the Jiangxi Postgraduate Innovation Special Fund Project
   (YC2022-s415), and the Jiangxi Agricultural University School of
   Economics and Management 2022 Postgraduate Innovation Special Fund
   Project (grant no. JG2022008). Funders are both involved in study
   design, data collection and analysis, decision to publish, or
   preparation of the manuscript. Below is information about the fund
   projects they obtained separately. Zheng Zhu Project of "Training of
   high-level and high-skill Leading Talents in Jiangxi Province" Zhen Wang
   Jiangxi Graduate Student Innovation Fund Project (YC2022-S415), Jiangxi
   Agricultural University School of Economics and Management 2023 Graduate
   Student Innovation Fund Project (JG2023012) Zhaomei Tang Yuzhang Normal
   University "2023 High Level Research and Innovation Team" (YZTD202303)
   Bin Liu National Natural Science Foundation of China (71563016), Key
   Research Base of Humanities and Social Sciences in Universities of
   Jiangxi Province (JD21080).
CR Chen J., 2009, J MANAG WORLD, V4, P83, DOI [10.19744/j.cnki.11-1235/f.2009.04.010, DOI 10.19744/J.CNKI.11-1235/F.2009.04.010]
   [陈梦根 Chen Menggen], 2022, [数量经济技术经济研究, Quantitative & Technical Economics], V39, P3
   Coopmans I, 2021, AGR SYST, V190, DOI 10.1016/j.agsy.2021.103136
   Cui NB., 2023, ISSUES AGR EC, V10, P116, DOI [10.13246/j.cnki.iae.2023.10.006, DOI 10.13246/J.CNKI.IAE.2023.10.006]
   Deng YY., 2022, FRONT ENV SCI-SWITZ, V36, P48, DOI [10.13956/j.ss.1001-8409.2022.03.07, DOI 10.13956/J.SS.1001-8409.2022.03.07]
   Gao WL., 2021, J S CHINA AGR U SOC, V20, P80, DOI DOI 10.13253/J.CNKI.DDJJGL.2021.11.007
   Guo KM., 2023, CHINA IND EC, V10, P61, DOI [10.19581/j.cnki.ciejournal.2023.10.003, DOI 10.19581/J.CNKI.CIEJOURNAL.2023.10.003]
   Guo XJ., 2012, SCI TECHNOL MANAG RE, V32, P64, DOI DOI 10.3969/J.ISSN.1000-7695.2012.20.015
   [韩海彬 Han Haibin], 2023, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V37, P29
   Hao A., 2022, J. South China Agricult. Univer, V21, P10, DOI DOI 10.7671/J.ISSN.1672-0202.2022.03.002
   He PJ., 2023, J ZHONGNAN U EC LAW, V01, P97, DOI [10.19639/j.cnki.issn1003-5230.2023.0009, DOI 10.19639/J.CNKI.ISSN1003-5230.2023.0009]
   [贺正楚 He Zhengchu], 2024, [科学学研究, Studies in Science of Science], V42, P515
   Hu LY., 2023, PLANNERS, V39, P7
   Huang Q., 2019, China Ind. Econ, V8, P5, DOI [10.19581/j.cnki.ciejournal.2019.08.001, DOI 10.19581/J.CNKI.CIEJOURNAL.2019.08.001]
   [蒋辉 Jiang Hui], 2023, [经济地理, Economic Geography], V43, P126
   Jiang T., 2022, China Ind. Econ, V5, P100, DOI [10.19581/j.cnki.ciejournal.2022.05.005, DOI 10.19581/J.CNKI.CIEJOURNAL.2022.05.005]
   [康丽娜 Kang Lina], 2024, [中国农业大学学报, Journal of China Agricultural University], V29, P258
   Kou DX., 2023, S SE ACAD RES, V06, P147, DOI [10.13658/j.cnki.sar.2023.06.009, DOI 10.13658/J.CNKI.SAR.2023.06.009]
   Lehmann MC, 2021, DEFENCE PEACE ECON, V32, P972, DOI 10.1080/10242694.2020.1773602
   Li ML., 2024, CHINESE J AGR RESOUR, V45, P74
   LUO Biliang, 2023, Journal of South China Agricultural University, V44, P827, DOI 10.7671/j.issn.1001-411X.202309045
   Ma JK., 2023, SOCI SCI XINJIANG, V01, P46, DOI [10.20003/j.cnki.xjshkx.2023.01.006, DOI 10.20003/J.CNKI.XJSHKX.2023.01.006]
   [毛宁 Mao Ning], 2022, [数量经济技术经济研究, Quantitative & Technical Economics], V39, P47
   Ouyang RH., 2023, FRONTIERS, V06, P13, DOI [10.16619/j.cnki.rmltxsqy.2023.06.002, DOI 10.16619/J.CNKI.RMLTXSQY.2023.06.002]
   Picard PM, 2005, J DEV ECON, V77, P75, DOI 10.1016/j.jdeveco.2004.03.002
   Qi YB., 2023, RURAL EC, V02, P48
   Qing P., 2023, STRATEGIC STUDY CAE, V25, P26, DOI [10.15302/J-SSCAE-2023.04.002, DOI 10.15302/J-SSCAE-2023.04.002]
   Ren SM, 2022, BUS STRATEG ENVIRON, V31, P1656, DOI 10.1002/bse.2975
   Rural Revitalization Research Group of Wuhan University, 2022, FINANCE TRADE EC, V43, P5, DOI [10.19795/j.cnki.cn11-1166/f.20220505.009, DOI 10.19795/J.CNKI.CN11-1166/F.20220505.009]
   Su Y., 2023, POPULATION J, V45, P69, DOI [10.16405/j.cnki.1004-129X.2023.05.006, DOI 10.16405/J.CNKI.1004-129X.2023.05.006]
   Tendall DM, 2015, GLOB FOOD SECUR-AGR, V6, P17, DOI 10.1016/j.gfs.2015.08.001
   Wan X. Y., 2022, Reform, V1, P101
   Wang Ding-xiang, 2023, Chinese Rural Economy, P48, DOI 10.20077/j.cnki.11-1262/f.2023.06.004
   [王军 Wang Jun], 2021, [数量经济技术经济研究, Quantitative & Technical Economics], V38, P26
   Wang KS., 2023, REFORM, V09, P99
   Wang XY., 2020, PEOPLES TRIBUNE, V22, P64
   Wang YF., 2023, EC LATITUDE LONG, V40, P48, DOI [10.15931/j.cnki.1006-1096.2023.05.003, DOI 10.15931/J.CNKI.1006-1096.2023.05.003]
   [杨秀玉 Yang Xiuyu], 2023, [中国人口·资源与环境, China Population Resources and Environment], V33, P92
   Yi E., 2023, Modern Finance and Economics -Journal of Tianjin University of Finance and Economics, V43, P20, DOI [10.19559/j.cnki.12-1387.2023.12.002, DOI 10.19559/J.CNKI.12-1387.2023.12.002]
   Zhang YL., 2022, REFORM, V11, P119
   Zhao T., 2020, Manag. World, V36, P65, DOI 10.19744/j.cnki.11-1235/f.2020.0154
   Zhao W., 2023, J. South China Agric. Univ. (Soc. Sci. Ed.), V22, P87, DOI DOI 10.7671/J.ISSN.1672-0202.2023.02.008
   Zhou HC., 2011, CHINA SOFT SCI, V09, P41
   Zhu XA., 2015, STAT DECISION, V02, P12, DOI [10.13546/j.cnki.tjyjc.2015.02.003, DOI 10.13546/J.CNKI.TJYJC.2015.02.003]
   Zuo XP., 2023, STAT DECISION, V39, P36, DOI [10.13546/j.cnki.tjyjc.2023.22.006, DOI 10.13546/J.CNKI.TJYJC.2023.22.006]
   Zurek M, 2022, ANNU REV ENV RESOUR, V47, P511, DOI 10.1146/annurev-environ-112320-050744
NR 46
TC 0
Z9 0
U1 14
U2 14
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD OCT 24
PY 2024
VL 19
IS 10
AR e0311689
DI 10.1371/journal.pone.0311689
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA K7J6Z
UT WOS:001345605200022
PM 39446781
OA gold
DA 2025-04-22
ER

PT J
AU Trimmel, H
   Weihs, P
   Faroux, S
   Formayer, H
   Hamer, P
   Hasel, K
   Laimighofer, J
   Leidinger, D
   Masson, V
   Nadeem, I
   Oswald, SM
   Revesz, M
   Schoetter, R
AF Trimmel, Heidelinde
   Weihs, Philipp
   Faroux, Stephanie
   Formayer, Herbert
   Hamer, Paul
   Hasel, Kristofer
   Laimighofer, Johannes
   Leidinger, David
   Masson, Valery
   Nadeem, Imran
   Oswald, Sandro M.
   Revesz, Michael
   Schoetter, Robert
TI Thermal conditions during heat waves of a mid-European metropolis under
   consideration of climate change, urban development scenarios and
   resilience measures for the mid-21st century
SO METEOROLOGISCHE ZEITSCHRIFT
LA English
DT Article; Proceedings Paper
CT DACH Conference
CY MAR 18-22, 2019
CL Garmisch Partenkirchen, GERMANY
DE urban sprawl; climate change; heat waves; urban scenarios; resilience;
   TEB; WRF; UTCI
ID SURFACE-ENERGY BALANCE; LOCAL CLIMATE; SOIL-MOISTURE; INDEX UTCI; AIR;
   MORTALITY; TEMPERATURE; MODEL; POLLUTION; ISLAND
AB In this study we produce two urban development scenarios estimating potential urban sprawl and optimized development concerning building construction, and we simulate their inf uence on air temperature, surface temperatures and human thermal comfort. We select two heat waves representative for present and future conditions of the mid 21st century and simulations are run with the Town Energy Balance Model (TEB) coupled online and offlin to the Weather Research and Forecasting Model (WRF). Global and regional climate change under the RCP8.5 scenario causes an increase of daily maximum air temperature in Vienna by 7 K. The daily minimum air temperature will increase by 2-4 K. Changes caused by urban growth or densificati n mainly affect air temperature and human thermal comfort locally where new urbanisation takes place and does not occur significa tly in the central districts. A combination of near zero-energy standards and increasing albedo of building materials on the city scale accomplishes a maximum reduction of urban canyon temperature achieved by changes in urban parameters of 0.9 K for the minima and 0.2 K for the maxima. Local scale changes of different adaptation measures show that insulation of buildings alone increases the maximum wall surface temperatures by more than 10 K or the maximum mean radiant temperature (MRT) in the canyon by 5 K. Therefore, measures to reduce MRT within the urban canyons like tree shade are needed to complement the proposed measures. This study concludes that the rising air temperatures expected by climate change puts an unprecedented heat burden on Viennese inhabitants, which cannot easily be reduced by measures concerning buildings within the city itself. Additionally, measures such as planting trees to provide shade, regional water sensitive planning and global reduction of greenhouse gas emissions in order to reduce temperature extremes are required.
C1 [Trimmel, Heidelinde; Weihs, Philipp; Formayer, Herbert; Hasel, Kristofer; Leidinger, David; Nadeem, Imran; Oswald, Sandro M.; Revesz, Michael] Univ Nat Resources & Life Sci BOKU, Inst Meteorol & Climatol, Gregor Mendelstr 33, A-1180 Vienna, Austria.
   [Faroux, Stephanie; Masson, Valery; Schoetter, Robert] Univ Toulouse, CNRM, Meteofrance, Toulouse, France.
   [Oswald, Sandro M.] Zent Anstalt Meteorol & Geodynam ZAMG, Vienna, Austria.
   [Hasel, Kristofer] Univ Vienna, Dept Meteorol & Geophys, Vienna, Austria.
   [Laimighofer, Johannes] Univ Nat Resources & Life Sci BOKU, Inst Stat, Vienna, Austria.
   [Trimmel, Heidelinde; Hamer, Paul] Norsk Inst Luftforskning NILU, Kjeller, Norway.
C3 BOKU University; Universite de Toulouse; Meteo France; University of
   Vienna; BOKU University; NILU
RP Trimmel, H (corresponding author), Univ Nat Resources & Life Sci BOKU, Inst Meteorol & Climatol, Gregor Mendelstr 33, A-1180 Vienna, Austria.
EM heidelinde.trimmel@boku.ac.at
RI Philipp, Weihs/AAF-9027-2019; Schoetter, Robert/JQV-8894-2023; Oswald,
   Sandro/AAH-3635-2019
OI Nadeem, Imran/0000-0002-5349-8186; Hasel, Kristofer/0000-0001-8668-3508;
   Hamer, Paul/0000-0003-0645-2932; Trimmel, Heidelinde/0000-0001-7191-975X
FU Klima und Energiefond (KliEN) [KR14AC7K11944]; Marietta Blau scholarship
   of OeAD
FX This research was mainly done within the project URBANIA (ACRP 8th call:
   KR14AC7K11944) funded by the Klima und Energiefond (KliEN). The f
   nalization of the manuscript was done during a stay at NILU, Norway
   funded by the Marietta Blau scholarship of OeAD. We would like to thank
   Jurgen Preiss, the MA 18 and Beatrix Gasienica-Wawrytko for their
   feedback and comments. Finally, we want to thank the two reviewers who
   helped to improve the manuscript.
CR Abhijith KV, 2017, ATMOS ENVIRON, V162, P71, DOI 10.1016/j.atmosenv.2017.05.014
   AMTMANN M., 2014, TYPOLOGY OSTERREICHI
   [Anonymous], 1987, Boundary Layer Climates
   [Anonymous], 2014, OSTERREICHISCHER SAC, DOI [10.1553/aar14s227, DOI 10.1553/AAR14S227]
   [Anonymous], 2014, FRONT ENV SCI-SWITZ, DOI DOI 10.3389/FENVS.2014.00014
   Arneth A, 2019, Summary for Policymakers Climate Change 2013: The Physical Science Basis
   Arnold D., 2011, AIR POLLUTION MODELI, VXXI, P269
   Bador M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa751c
   Bardow A., 2018, LOW CARBON PROCESS I
   Berger T., 2012, BERICHTE ENERGIE UMW
   Boone A, 2017, GEOSCI MODEL DEV, V10, P843, DOI 10.5194/gmd-10-843-2017
   Bornstein R, 2000, ATMOS ENVIRON, V34, P507, DOI 10.1016/S1352-2310(99)00374-X
   Bradshaw AnthonyBen Hunt Tim Walmsley., 1995, TREES URBAN LANDSCAP
   Bröde P, 2012, INT J BIOMETEOROL, V56, P471, DOI 10.1007/s00484-011-0452-3
   Bueno B, 2012, GEOSCI MODEL DEV, V5, P433, DOI 10.5194/gmd-5-433-2012
   Bundesministerium fur Nachhaltigkeit und Tourismus (BMNT), 2016, END OKS15 KLIM OST D
   Cattiaux J, 2015, GEOPHYS RES LETT, V42, P899, DOI 10.1002/2014GL062531
   Cordeau E, 2016, ILOTS MORPHOLOGIQUES
   Coutts AM, 2007, J APPL METEOROL CLIM, V46, P477, DOI 10.1175/JAM2462.1
   de Munck C, 2018, URBAN CLIM, V23, P260, DOI 10.1016/j.uclim.2017.01.003
   de Munck CS, 2013, GEOSCI MODEL DEV, V6, P1941, DOI 10.5194/gmd-6-1941-2013
   de Pee Arnout., 2018, Decarbonization of industrial sectors: the next frontier
   Donner LJ, 2011, J CLIMATE, V24, P3484, DOI 10.1175/2011JCLI3955.1
   Dou Y., 2014, THESIS
   Drlik S., 2010, THESIS
   Duchez A, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074004
   EEA (European Environment Agency), 2012, COR LAND COV DAT SET
   Erell E., 2011, Urban microclimate: designing the spaces between buildings
   Fallmann J, 2016, ATMOS ENVIRON, V125, P199, DOI 10.1016/j.atmosenv.2015.10.094
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Fiala D, 2001, INT J BIOMETEOROL, V45, P143, DOI 10.1007/s004840100099
   Fischer EM, 2007, J CLIMATE, V20, P5081, DOI 10.1175/JCLI4288.1
   Fisher RA, 1928, P CAMB PHILOS SOC, V24, P180, DOI 10.1017/S0305004100015681
   Formayer H., 2007, BERICHT AUFTRAG WIEN
   Fortuniak K, 2006, THEOR APPL CLIMATOL, V84, P91, DOI 10.1007/s00704-005-0147-y
   Gabriel KMA, 2011, ENVIRON POLLUT, V159, P2044, DOI 10.1016/j.envpol.2011.01.016
   Gobiet A, 2014, SCI TOTAL ENVIRON, V493, P1138, DOI 10.1016/j.scitotenv.2013.07.050
   Grimmond CSB, 2010, PROCEDIA ENVIRON SCI, V1, P247, DOI 10.1016/j.proenv.2010.09.016
   Hartmann D.L., 1994, Global Physical Climatology, DOI [10.1016B978-0-12-328531-7.00005-0, 10.1016/C2009-0-00030-0, DOI 10.1016/C2009-0-00030-0]
   Hutter HP, 2007, WIEN KLIN WOCHENSCHR, V119, P223, DOI 10.1007/s00508-006-0742-7
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Jasper K, 2006, J HYDROL, V327, P550, DOI 10.1016/j.jhydrol.2005.11.061
   Jendritzky G, 2012, INT J BIOMETEOROL, V56, P421, DOI 10.1007/s00484-011-0513-7
   Jones R., 2001, Ensemble mean changes in a simulation of the European climate of 2071-2100 using the new Hadley Centre Regional Modelling System HadAM3H/HadRM3H
   Kalisa E, 2018, SUSTAIN CITIES SOC, V43, P111, DOI 10.1016/j.scs.2018.08.033
   Kennedy C, 2009, ENVIRON SCI TECHNOL, V43, P7297, DOI 10.1021/es900213p
   Ketterer C, 2017, INT J BIOMETEOROL, V61, P189, DOI 10.1007/s00484-016-1203-2
   Ketterer C, 2015, INT J BIOMETEOROL, V59, P1299, DOI 10.1007/s00484-014-0940-3
   Kohler M, 2017, URBAN CLIM, V19, P92, DOI 10.1016/j.uclim.2016.12.006
   Kornhuber K, 2017, CLIM DYNAM, V49, P1961, DOI 10.1007/s00382-016-3399-6
   Krispel S, 2017, BAUPHYSIK, V39, P33, DOI 10.1002/bapi.201710002
   KrompKolb H, 2014, OSTERREICHISCHER SACHSTANDSBERICHT KLIMAWANDEL 2014, BD 1-3, P1
   Kuttler W, 2007, INT J CLIMATOL, V27, P2005, DOI 10.1002/joc.1558
   Kysely J, 2000, STUD GEOPHYS GEOD, V44, P57, DOI 10.1023/A:1022009924435
   Kysely J, 2009, CLIM RES, V38, P105, DOI 10.3354/cr00775
   Landsberg H.E., 1981, The Urban Climate
   Lee H, 2018, INT J BIOMETEOROL, V62, P1199, DOI 10.1007/s00484-018-1523-5
   Lemonsu A, 2004, J APPL METEOROL, V43, P312, DOI 10.1175/1520-0450(2004)043<0312:MTSEBO>2.0.CO;2
   Lemonsu A, 2012, GEOSCI MODEL DEV, V5, P1377, DOI 10.5194/gmd-5-1377-2012
   Lemonsu A, 2013, CLIMATIC CHANGE, V116, P679, DOI 10.1007/s10584-012-0521-6
   Leuprecht A., 2017, OKS15 BIAS CORRECTED
   Li YL, 2014, AGRON SUSTAIN DEV, V34, P695, DOI 10.1007/s13593-014-0230-9
   MA (Magistratsabteilung), WERK STATTB STADT WI
   MA (Magistratsabteilung), 18 STADT STADTPL 200
   MA (Magistratsabteilung), 22 UMW 2018 URB HEAT
   Mahmood R, 2008, MON WEATHER REV, V136, P1554, DOI 10.1175/2007MWR2040.1
   Masson V, 2002, J APPL METEOROL, V41, P1011
   Masson V, 2000, BOUND-LAY METEOROL, V94, P357, DOI 10.1023/A:1002463829265
   Matzarakis A, 2010, INT J BIOMETEOROL, V54, P131, DOI 10.1007/s00484-009-0261-0
   Matzarakis A, 2011, THEOR APPL CLIMATOL, V105, P1, DOI 10.1007/s00704-010-0372-x
   MAYER H, 1987, THEOR APPL CLIMATOL, V38, P43, DOI 10.1007/BF00866252
   McMichael AJ., 2003, HUMAN HLTH CLIMATE C
   Michalakes j., 2001, development of a next-generation regional weather research and forecast model, P269, DOI [10.1142/97898127996850024, DOI 10.1142/97898127996850024]
   Michelozzi P, 2004, JAMA-J AM MED ASSOC, V291, P2537
   Morecroft MD, 1998, AGR FOREST METEOROL, V90, P141, DOI 10.1016/S0168-1923(97)00070-1
   Morini E, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8100999
   Muthers S, 2010, INT J ENV RES PUB HE, V7, P2965, DOI 10.3390/ijerph7072965
   Neuwirth C., 2015, THESIS
   Offerle B, 2005, J CLIMATE, V18, P3983, DOI 10.1175/JCLI3520.1
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Otani H, 2017, CHRONOBIOL INT, V34, P1224, DOI 10.1080/07420528.2017.1358735
   Pearlmutter D, 2005, J APPL METEOROL, V44, P532, DOI 10.1175/JAM2220.1
   PGO (Planungsgemeinschaft Ost), 2011, 2011 STADT GERM PLAN
   Pigeon G, 2014, ENERG BUILDINGS, V76, P1, DOI 10.1016/j.enbuild.2013.10.038
   Pineda N, 2004, INT J REMOTE SENS, V25, P129, DOI 10.1080/0143116031000115201
   Rafael S, 2016, SCI TOTAL ENVIRON, V566, P1500, DOI 10.1016/j.scitotenv.2016.06.037
   Ramamurthy P, 2015, ENERG BUILDINGS, V102, P317, DOI 10.1016/j.enbuild.2015.06.005
   Redon EC, 2017, GEOSCI MODEL DEV, V10, P385, DOI 10.5194/gmd-10-385-2017
   Rezaei Rad H., 2019, Journal of Urban Management and Energy Sustainability, V1, P52
   Roman KK, 2016, ENERGY, V96, P103, DOI 10.1016/j.energy.2015.11.082
   Salamanca F, 2012, INT J CLIMATOL, V32, P2372, DOI 10.1002/joc.3398
   Schicker I, 2016, METEOROL ATMOS PHYS, V128, P279, DOI 10.1007/s00703-015-0416-y
   Schimann J., 2015, THESIS
   Schnell JL, 2017, P NATL ACAD SCI USA, V114, P2854, DOI 10.1073/pnas.1614453114
   Schreier SF, 2013, INT J BIOMETEOROL, V57, P207, DOI 10.1007/s00484-012-0525-y
   Schrijvers PJC, 2016, URBAN CLIM, V17, P284, DOI 10.1016/j.uclim.2016.02.005
   Seneviratne SI, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2016.0450
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Skamarock W. C., 2008, NCARTN475 STR
   Stadt Wien, 2015, STEP2025: Urban Mobility Plan Vienna
   STEADMAN RG, 1979, J APPL METEOROL, V18, P861, DOI 10.1175/1520-0450(1979)018<0861:TAOSPI>2.0.CO;2
   STEADMAN RG, 1979, J APPL METEOROL, V18, P874, DOI 10.1175/1520-0450(1979)018<0874:TAOSPI>2.0.CO;2
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stull R.B., 1988, INTRO BOUNDARY LAYER, DOI [DOI 10.1007/978-94-009-3027-8, 10.1007/978-94-009-3027-8]
   Switanek MB, 2017, HYDROL EARTH SYST SC, V21, P2649, DOI 10.5194/hess-21-2649-2017
   Taha H, 1997, ENERG BUILDINGS, V25, P169, DOI 10.1016/S0378-7788(96)01006-7
   Tan JG, 2007, INT J BIOMETEOROL, V51, P193, DOI 10.1007/s00484-006-0058-3
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Urban A, 2014, INT J ENV RES PUB HE, V11, P952, DOI 10.3390/ijerph110100952
   Ürge-Vorsatz D, 2018, NAT CLIM CHANGE, V8, P174, DOI 10.1038/s41558-018-0100-6
   Valleron AJ, 2004, CR BIOL, V327, P1125, DOI 10.1016/j.crvi.2004.09.009
   Vidale PL, 2007, CLIMATIC CHANGE, V81, P209, DOI 10.1007/s10584-006-9218-z
   Vogel M.- M., 2018, THESIS, DOI [10.3929/ethz-b-000323120, DOI 10.3929/ETHZ-B-000323120]
   Wang CH, 2018, EARTHS FUTURE, V6, P1066, DOI 10.1029/2018EF000891
   Weihs P., 2018, BERICHTE ENERGIE UMW
   Weihs P, 2012, INT J BIOMETEOROL, V56, P537, DOI 10.1007/s00484-011-0416-7
   Zampieri M, 2009, J CLIMATE, V22, P4747, DOI 10.1175/2009JCLI2568.1
   Zare S, 2018, WEATHER CLIM EXTREME, V19, P49, DOI 10.1016/j.wace.2018.01.004
   Zeiler S., 2015, THESIS
   Zhang H, 2017, ATMOS RES, V188, P64, DOI 10.1016/j.atmosres.2016.11.010
   Zommers Zinta., 2018, Resilience: The Science of Adaptation to Climate Change
   Zuvela-Aloise M, 2018, THEOR APPL CLIMATOL, V131, P1005, DOI 10.1007/s00704-016-2024-2
NR 122
TC 14
Z9 14
U1 0
U2 24
PU E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
PI STUTTGART
PA NAEGELE U OBERMILLER, SCIENCE PUBLISHERS, JOHANNESSTRASSE 3A, D 70176
   STUTTGART, GERMANY
SN 0941-2948
EI 1610-1227
J9 METEOROL Z
JI Meteorol. Z.
PY 2021
VL 30
IS 1
DI 10.1127/metz/2019/0966
PG 24
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Meteorology & Atmospheric Sciences
GA RN5AK
UT WOS:000640363800003
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Wu, SP
   Zhou, XD
   Reyns, J
   Yamazaki, D
   Yin, J
   Li, XZ
AF Wu, Shupu
   Zhou, Xudong
   Reyns, Johan
   Yamazaki, Dai
   Yin, Jie
   Li, Xiuzhen
TI Climate change and urban sprawl: Unveiling the escalating flood risks in
   river deltas with a deep dive into the GBM river delta
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Flood risk River delta Shared Socioeconomic Pathways; Representative
   Concentration Pathways narios Urban expansion
ID GLOBAL LAND-USE; MODEL; DYNAMICS; INUNDATION; MANAGEMENT; IMPACTS; BASIN
AB River deltas, such as the Ganges-Brahmaputra-Meghna (GBM) delta, are highly vulnerable to flooding, exacerbated by intense human activities and rapid urban growth. This study explores the evolution of urban flood risks in the GBM delta under the combined impacts of climate change and urban expansion. Unlike traditional assessments that focus on a single flood source, we consider multiple sources-coastal, fluvial, and pluvial. Our findings indicate that future urban expansion will significantly increase flood exposure, with a substantial rise in flood risk from all sources by the end of this century. Climate change is the main driver of increased coastal flood risks, while urban growth primarily amplifies fluvial, and pluvial flood risks. This highlights the urgent need for adaptive urban planning strategies to mitigate future flooding and support sustainable urban development. The extreme high emissions future scenario (SSP5-8.5) shows the largest urban growth and consequent flood risk, emphasizing the necessity for preemptive measures to mitigate future urban flooding. Our study provides crucial insights into flood risk dynamics in delta environments, aiding policymakers and planners in developing resilience strategies against escalating flood threats.
C1 [Wu, Shupu; Yin, Jie; Li, Xiuzhen] East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China.
   [Zhou, Xudong] Ningbo Univ, Sch Civil & Environm Engn & Geog Sci, Ningbo, Peoples R China.
   [Reyns, Johan] IHE Delft, Dept Water Sci & Engn, Delft, Netherlands.
   [Yamazaki, Dai] Univ Tokyo, Inst Ind Sci, Global Hydrol Predict Ctr, Tokyo, Japan.
C3 East China Normal University; Ningbo University; IHE Delft Institute for
   Water Education; University of Tokyo
RP Li, XZ (corresponding author), East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China.
EM xzli@sklec.ecnu.edu.cn
RI Yamazaki, Dai/J-3029-2012
OI Zhou, Xudong/0000-0001-7180-8187
FU Science and Technology Commission of Shanghai Municipality [21230750600,
   23590780200]; Ministry of Science and Tech- nology of the People's
   Republic of China [BP0820020]; National Natural Science Foundation of
   China [42371076]
FX This research received financial support from the Science and Technology
   Commission of Shanghai Municipality (Grant Nos. 21230750600 and
   23590780200) ; the Ministry of Science and Tech- nology of the People's
   Republic of China (Grant No. BP0820020) ; and the National Natural
   Science Foundation of China (Grant No. 42371076) .
CR Alizadeh MR, 2022, SCI TOTAL ENVIRON, V823, DOI 10.1016/j.scitotenv.2022.153660
   Amatulli G, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.40
   Archer L, 2024, WATER RESOUR RES, V60, DOI 10.1029/2023WR035533
   Assede E., 2023, Curr. Landsc. Ecol. Rep., V8, DOI DOI 10.1007/S40823-023-00087-W
   Bakhtiari V, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104958
   Becker M, 2020, P NATL ACAD SCI USA, V117, P1867, DOI 10.1073/pnas.1912921117
   Bernard A, 2022, NAT HAZARD EARTH SYS, V22, P729, DOI 10.5194/nhess-22-729-2022
   Bibi TS, 2023, CITY ENVIRON INTERAC, V19, DOI 10.1016/j.cacint.2023.100111
   Borowska-Stefanska M, 2021, LAND USE POLICY, V102, DOI 10.1016/j.landusepol.2020.105274
   Cao WT, 2022, SCI TOTAL ENVIRON, V817, DOI 10.1016/j.scitotenv.2022.153012
   Chan FKS, 2024, NAT REV EARTH ENV, V5, P522, DOI 10.1038/s43017-024-00561-x
   Chang CC, 2023, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159290
   Che ML, 2023, ECOL INDIC, V156, DOI 10.1016/j.ecolind.2023.111178
   Chen GZ, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01208-6
   Deng ZF, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101224
   Devitt L, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38297-9
   Edmonds DA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18531-4
   Eilander D, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab8ca6
   Fallah B, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-33921-6
   Gao J, 2024, LAND USE POLICY, V139, DOI 10.1016/j.landusepol.2024.107059
   Garner GG, 2021, Zenodo, DOI 10.5281/ZENODO.5914709
   Giosan L, 2014, NATURE, V516, P31, DOI 10.1038/516031a
   Guo W, 2024, SCI TOTAL ENVIRON, V912, DOI 10.1016/j.scitotenv.2023.169088
   Hirabayashi Y, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-83279-w
   Ikeuchi H, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124011
   Irawan AM, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100760
   Jian W, 2021, NAT HAZARDS, V105, P1691, DOI 10.1007/s11069-020-04372-3
   Jiang RJ, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-01049-0
   Karamouz M, 2019, WATER RESOUR RES, V55, P6606, DOI 10.1029/2018WR024562
   Klutse NAB, 2021, EARTH SYST ENVIRON, V5, P25, DOI 10.1007/s41748-021-00203-y
   Kookana RS, 2020, SCI TOTAL ENVIRON, V732, DOI 10.1016/j.scitotenv.2020.139057
   Laignel B, 2023, SURV GEOPHYS, V44, P1309, DOI 10.1007/s10712-022-09757-6
   Li X, 2022, J CLEAN PROD, V375, DOI 10.1016/j.jclepro.2022.134004
   Liang X, 2021, COMPUT ENVIRON URBAN, V85, DOI 10.1016/j.compenvurbsys.2020.101569
   Lin JY, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.103906
   Liu W, 2023, J HYDROL, V618, DOI 10.1016/j.jhydrol.2023.129267
   Liu WB, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028830
   Liu YC, 2023, J ENVIRON MANAGE, V326, DOI 10.1016/j.jenvman.2022.116675
   Lockwood JW, 2024, GEOPHYS RES LETT, V51, DOI 10.1029/2023GL105624
   Loucks DP, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4165
   Luo S, 2023, SCI TOTAL ENVIRON, V905, DOI 10.1016/j.scitotenv.2023.167131
   McGrane SJ, 2016, HYDROLOG SCI J, V61, P2295, DOI 10.1080/02626667.2015.1128084
   Min SK, 2007, PHILOS T R SOC A, V365, P2103, DOI 10.1098/rsta.2007.2070
   Mitu MF, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130278
   Modi P, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031819
   Moon HT, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104542
   Muis S, 2017, EARTHS FUTURE, V5, P379, DOI 10.1002/2016EF000430
   Muis S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11969
   Najafi MR, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102516
   Nandi S, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.127842
   Nicholls RJ, 2021, NAT CLIM CHANGE, V11, P338, DOI 10.1038/s41558-021-00993-z
   Nienhuis JH, 2023, ANNU REV EARTH PL SC, V51, P79
   Nienhuis JH, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL093368
   O'Neill BC, 2020, NAT CLIM CHANGE, V10, P1074, DOI 10.1038/s41558-020-00952-0
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Olcese G, 2024, WATER RESOUR RES, V60, DOI 10.1029/2023WR036580
   Olsen NR, 2023, J GEOPHYS RES-EARTH, V128, DOI 10.1029/2022JF006873
   Ozdemir H, 2023, J HYDROL, V625, DOI 10.1016/j.jhydrol.2023.129926
   Pal I, 2023, ANNU REV ENV RESOUR, V48, P681, DOI 10.1146/annurev-environ-112320-101903
   Paszkowski A, 2021, NAT REV EARTH ENV, V2, P763, DOI 10.1038/s43017-021-00213-4
   Pokhrel Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-35823-4
   Qiao WY, 2023, CITIES, V143, DOI 10.1016/j.cities.2023.104569
   Raff JL, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38057-9
   Rahman MM, 2022, SCI TOTAL ENVIRON, V829, DOI 10.1016/j.scitotenv.2022.154547
   Reader MO, 2023, GLOBAL ENVIRON CHANG, V78, DOI 10.1016/j.gloenvcha.2022.102612
   Rentschler J, 2023, NATURE, V622, P87, DOI 10.1038/s41586-023-06468-9
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Ro B, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103474
   Schmitt RJP, 2023, ONE EARTH, V6, P216, DOI 10.1016/j.oneear.2023.02.010
   Scown MW, 2023, GLOBAL ENVIRON CHANG, V82, DOI 10.1016/j.gloenvcha.2023.102736
   Seeger K, 2023, HYDROL EARTH SYST SC, V27, P2257, DOI 10.5194/hess-27-2257-2023
   Sharifian MK, 2023, GEOSCI MODEL DEV, V16, P2391, DOI 10.5194/gmd-16-2391-2023
   Shi Q, 2023, SUSTAIN CITIES SOC, V95, DOI 10.1016/j.scs.2023.104578
   Siderius C, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac94e9
   Stehfest E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09945-w
   Sun XJ, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102563
   Tang H, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-55763-6
   Tang J, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110745
   Tessler ZD, 2015, SCIENCE, V349, P638, DOI 10.1126/science.aab3574
   Thieken AH, 2022, NAT HAZARD EARTH SYS, V22, P165, DOI 10.5194/nhess-22-165-2022
   Vousdoukas MI, 2018, NAT CLIM CHANGE, V8, P776, DOI 10.1038/s41558-018-0260-4
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Wang M, 2023, SCI TOTAL ENVIRON, V880, DOI 10.1016/j.scitotenv.2023.163470
   Wang QW, 2024, INT J DISAST RISK RE, V100, DOI 10.1016/j.ijdrr.2023.104192
   Wang QZ, 2023, J ENVIRON MANAGE, V335, DOI 10.1016/j.jenvman.2023.117543
   Warszawski L, 2014, P NATL ACAD SCI USA, V111, P3228, DOI 10.1073/pnas.1312330110
   Wilson MD, 2023, GEOSCI MODEL DEV, V16, P2415, DOI 10.5194/gmd-16-2415-2023
   Wing OEJ, 2022, NAT CLIM CHANGE, V12, P156, DOI 10.1038/s41558-021-01265-6
   Yamazaki D, 2019, WATER RESOUR RES, V55, P5053, DOI [10.1029/2019wr024873, 10.1029/2019WR024873]
   Yamazaki D, 2014, GEOPHYS RES LETT, V41, P3127, DOI 10.1002/2014GL059744
   Yang XD, 2021, ECOL INDIC, V124, DOI 10.1016/j.ecolind.2021.107436
   Yang Y, 2024, J CLEAN PROD, V452, DOI 10.1016/j.jclepro.2024.142077
   Yin J, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001614
   Zhang TY, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02637-7
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zhi LH, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.159891
   Zhu ZC, 2020, NAT SUSTAIN, V3, P853, DOI 10.1038/s41893-020-0556-z
NR 97
TC 4
Z9 4
U1 43
U2 59
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD OCT 15
PY 2024
VL 947
AR 174703
DI 10.1016/j.scitotenv.2024.174703
EA JUL 2024
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA ZE8B7
UT WOS:001273700900001
PM 38997028
DA 2025-04-22
ER

PT J
AU Theron, SN
   Midgley, S
   Hochrainer-Stigler, S
   Archer, E
   Tramberand, S
   Walker, S
AF Theron, Simone Norah
   Midgley, Stephanie
   Hochrainer-Stigler, Stefan
   Archer, Emma
   Tramberand, Sylvia
   Walker, Sue
TI Agricultural resilience and adaptive capacity during severe drought in
   the Western Cape, South Africa
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Vulnerability; Climate change; Adaptation; Water supply
ID VULNERABILITY; RISK
AB Meeting the needs of multiple users and uses of freshwater resources is becoming progressively challenging. The response to the 2015-2018 Western Cape drought in South Africa offers lessons for both commercial crop growers and policymakers to enhance resilience. The drought highlights the complex interactions between water supply for urban and agricultural uses. This study employed a mixed-methods approach by combining the five capitals (natural, physical, financial, human, and social) of the sustainable livelihoods framework with semi-structured interviews to assess the impacts of the hydrologic and socio-economic drought on irrigated apple production. Data used for the study included production statistics, dam and water flow, weather data, and interviews. Results highlight a progressive weakening of the natural and physical capital between 2015 and 2018. Human capital in the form of expert consultants together with social capital of networks proved key to mitigating the impact of drought on apple production. The study also found that growers' adaptive capacity was high as they made use of multiple capitals available to them. This resulted in lower than anticipated impacts on production and in turn stabilized financial capital available to farmers. Lessons from the drought show that building human and social capital can significantly improve the resilience of commercial farms which form part of complex water systems. Urban water-related vulnerabilities and demand are closely interlinked with the vulnerability and adaptive capacity of irrigated agriculture. Thus, policies which facilitate the in-tandem adaptation of these sectors are likely to be most successful in building resilience.
C1 [Theron, Simone Norah; Walker, Sue] Agr Res Council, Nat Resources & Engn, 600 Belvedere St, ZA-0083 Arcadia, Pretoria, South Africa.
   [Theron, Simone Norah; Midgley, Stephanie] Stellenbosch Univ, Dept Hort Sci, ZA-7600 Stellenbosch, South Africa.
   [Midgley, Stephanie] Western Cape Dept Agr, Res & Technol Dev, ZA-7607 Elsenburg, South Africa.
   [Hochrainer-Stigler, Stefan; Tramberand, Sylvia] Int Inst Appl Syst Anal, Schlossplatz 1, A-2361 Laxenburg, Austria.
   [Archer, Emma] Univ Pretoria, Dept Geog Geoinformat & Meteorol, Lynnwood Rd, ZA-0002 Hatfield, Pretoria, South Africa.
   [Walker, Sue] Univ Free State, Dept Soil Crop & Climate Sci, ZA-9300 Bloemfontein, South Africa.
C3 Agricultural Research Council of South Africa; Stellenbosch University;
   International Institute for Applied Systems Analysis (IIASA); University
   of Pretoria; University of the Free State
RP Theron, SN (corresponding author), Agr Res Council, Nat Resources & Engn, 600 Belvedere St, ZA-0083 Arcadia, Pretoria, South Africa.; Theron, SN (corresponding author), Stellenbosch Univ, Dept Hort Sci, ZA-7600 Stellenbosch, South Africa.
EM simone.pretorius7@gmail.com; StephanieM@elsenburg.com;
   hochrain@iiasa.ac.at; emma.archer@up.ac.za; trambers@iiasa.ac.at;
   WalkerS@arc.agric.za
RI Theron, Simone/HKE-2190-2023; Archer, Emma/V-5736-2019
OI Hochrainer-Stigler, Stefan/0000-0002-9929-8171
FU Agricultural Research Council's Professional Development Program;
   International Institute for Applied Systems Analysis while on their
   Young Scientist Summer School Program
FX This work was supported by the Agricultural Research Council's
   Professional Development Program. The primary author also received
   support for this research from the International Institute for Applied
   Systems Analysis while on their Young Scientist Summer School Program.
   The authors would also like to thank the interviewees who took time to
   participate in the research.
CR Agard J., 2014, ANN 2 GLOSS
   Agricultural Research Council, 2020, AGR CLIM DAT SOIL CL
   Ahjum F, 2015, CLIMATE LAND ENERGY
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 1998, National Water Act No. 36. Government gazette 19182
   [Anonymous], 2009, TERM DIS RISK RED
   [Anonymous], 2000, International Geosphere-Biosphere Program Newsletter, DOI DOI 10.1007/3-540-26590-2_3
   Archer E, 2019, CLIM RISK MANAG, V25, DOI 10.1016/j.crm.2019.100188
   Bahta YT, 2021, JAMBA-J DISASTER RIS, V13, DOI 10.4102/jamba.v13i1.984
   Basson M, 2011, UN WAT INT C WAT GRE
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bureau for Food and Agricultural Policy (BFAP), 2015, BAS 2015 BFAP AGR OU
   City of Cape Town, 2018, W CAPE GOVT, DOI [10.4102/jamba.v13i1.984, DOI 10.4102/JAMBA.V13I1.984]
   DAFF, 2018, PROF S AFR APPL MARK
   Davis K, 2021, INVESTING FARMERS AG, DOI [10.4060/cb7134-n, DOI 10.4060/CB7134-N]
   De Grandpré A, 2022, FRONT AGRON, V4, DOI 10.3389/fagro.2022.980888
   DWS, 2019, HYDR SERV SURF WAT D
   DWS, 2018, WAT OUTL 2018 REP
   DWS, 2021, NAT GROUNDW ARCH NGA
   Fernandez E, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10020274
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Folke C, 2021, AMBIO, V50, P834, DOI 10.1007/s13280-021-01544-8
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Fresh Fruit Portal, 2018, S AFR HAIL SUNB IMP
   Fujisawa M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0120563
   Garrick D, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0db7
   Groenland Water User Association (GWUA), HIST OV
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Hedden S, 2014, I SECURITY STUDIES P, V201411, P16
   Hortgro, 2020, KEY DEC FRUIT STAT 2
   Javadinejad S., 2020, Safety in Extreme Environments, V2, P171, DOI [DOI 10.1007/S42797-020-00016-8, 10.1007/s42797-020-00016-8/Published]
   Khan MMH, 2001, RURAL POVERTY DEV CO
   King Andrew-McMichael, 2022, The Conversation
   Le Maitre DC, 2020, INVAD NAT SPRING SER, V14, P431, DOI 10.1007/978-3-030-32394-3_15
   Maltou R, 2019, JAMBA-J DISASTER RIS, V11, DOI 10.4102/jamba.v11i1.805
   Maxmen A, 2018, NATURE NEWS
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Megyesi B., 2011, International Journal of Sociology of Agriculture and Food, V18, P89
   Midgley GF, 2005, ENVS2005073 CSIR
   Midgley S.J.E., 2016, Commodity value chain analysis for dairy
   Midgley SJE, 2021, SCI PRACTICAL GUID 1
   Mukhamedova N, 2017, CENTRAL ASIAN J WATE, V3, P41
   Muller M, 2018, NAT COMMUN
   Muyambo F, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.326
   Nalbantis I, 2009, WATER RESOUR MANAG, V23, P881, DOI 10.1007/s11269-008-9305-1
   Nasrnia F, 2021, ECOL INDIC, V128, DOI 10.1016/j.ecolind.2021.107817
   Ogundeji AA, 2013, EC CLIMATE CHANGE AD
   Otto FEL, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae9f9
   Pascale S, 2020, P NATL ACAD SCI USA, V117, P29495, DOI 10.1073/pnas.2009144117
   Perishable Products Export Control Board (PPECB), 2012, ANN REPORT
   Raaijmakers S, 2020, S AFR J PLANT SOIL, V37, P51, DOI 10.1080/02571862.2019.1645219
   Rawlins J., 2019, WATER SECURITY, V6, P100029, DOI [10.1016/j.wasec.2019.100029, DOI 10.1016/J.WASEC.2019.100029]
   Roque A., 2020, PALGRAVE HDB CLIMATE, P1
   Schulze R.E., 2012, A 2011 perspective on climate change and the South African water sector
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Serrat, 2017, SUSTAINABLE LIVELIHO, DOI 10.1007/978-981-10-0983-9_5
   Shiferaw B, 2014, WEATHER CLIM EXTREME, V3, P67, DOI 10.1016/j.wace.2014.04.004
   Sikuka W, 2018, DECIDUOUS FRUIT PROD
   South Africa, 1997, WATER SERVICES ACT N
   StatsSA, 2019, MID POP EST
   Steenkamp E, 2018, HORTGRO NEWS
   Theron SN, 2022, J RURAL STUD, V95, P208, DOI 10.1016/j.jrurstud.2022.09.002
   Western Cape Department of Agriculture, 2018, CAP FARM MAPP 2 7 CR
   Western Cape Department of Agriculture, 2018, FUT W CAP AGR SECT C
   Western Cape Department of Agriculture (WCDoA), 2017, INF W CAP AGR SECT 2
   Western Cape Government, 2018, W CAP SUST WAT MAN P
   Western Cape Government, 2018, STAT ENV OUTL REP W
   Witzenberg Municipality, 2019, CER KOEK DAM
   Wolski P, 2018, GROUNDUP
   Yazdanpanah Masoud, 2013, Environment Development and Sustainability, V15, P1605, DOI 10.1007/s10668-013-9452-2
   Ziervogel G, 2019, CITIES SUPPORT PROGR
NR 71
TC 4
Z9 4
U1 3
U2 9
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD SEP
PY 2023
VL 23
IS 3
AR 98
DI 10.1007/s10113-023-02091-6
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA N1KB3
UT WOS:001034674600001
DA 2025-04-22
ER

PT J
AU Ouyang, M
   Cheng, ZK
   Ma, JX
   Wang, HW
   Mitoulis, SA
AF Ouyang, Min
   Cheng, Zekai
   Ma, Jiaxin
   Wang, Hongwei
   Mitoulis, Stergios Aristoteles
TI Coupled Urban Risks: A Complex Systems Perspective with a People-Centric
   Focus
SO ENGINEERING
LA English
DT Article
DE Coupled urban risks; People-centric; Risk management
ID RESILIENCE; POPULATION; BEHAVIOR; CASCADE; CITIES
AB The complexity of coupled risks, which refer to the compounded effects of interacting uncertainties across multiple interdependent objectives, is inherent to cities functioning as dynamic, interdependent systems. A disruption in one domain ripples across various urban systems, often with unforeseen consequences. Central to this complexity are people, whose behaviors, needs, and vulnerabilities shape risk evolution and response effectiveness. Realizing cities as complex systems centered on human needs and behaviors is essential to understanding the complexities of coupled urban risks. This paper adopts a complex systems perspective to examine the intricacies of coupled urban risks, emphasizing the critical role of human decisions and behavior in shaping these dynamics. We focus on two key dimensions: cascading hazards in urban environments and cascading failures across interdependent exposed systems in cities. Existing risk assessment models often fail to capture the complexity of these processes, particularly when factoring in human decision-making. To tackle these challenges, we advocate for a standardized taxonomy of cascading hazards, urban components, and their interactions. At its core is a people-centric perspective, emphasizing the bidirectional interactions between people and the systems that serve them. Building on this foundation, we argue the need for an integrated, people-centric risk assessment framework that evaluates event impacts in relation to the hierarchical needs of people and incorporates their preparedness and response capacities. By leveraging real-time data, advanced simulations, and innovative validation methods, this framework aims to enhance the accuracy of coupled urban risk modeling. To effectively manage coupled urban risks, cities can draw from proven strategies in real complex systems. However, given the escalating uncertainties and complexities associated with climate change, prioritizing people-centric strategies is crucial. This approach will empower cities to build resilience not only against known hazards but also against evolving and unforeseen challenges in an increasingly uncertain world. (c) 2025 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Ouyang, Min; Cheng, Zekai; Ma, Jiaxin] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China.
   [Ouyang, Min] Huazhong Univ Sci & Technol, Key Lab Image Proc & Intelligent Control, Minist Educ, Wuhan 430074, Peoples R China.
   [Wang, Hongwei] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China.
   [Mitoulis, Stergios Aristoteles] Univ Birmingham, Sch Engn, Birmingham B15 2TT, England.
C3 Huazhong University of Science & Technology; Huazhong University of
   Science & Technology; Huazhong University of Science & Technology;
   University of Birmingham
RP Wang, HW (corresponding author), Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China.; Mitoulis, SA (corresponding author), Univ Birmingham, Sch Engn, Birmingham B15 2TT, England.
EM hwwang@hust.edu.cn; s.a.mitoulis@bham.ac.uk
RI Ma, Jiaxin/LWI-4517-2024; wang, hongwei/G-3843-2013; Ouyang,
   Min/L-3347-2019; Mitoulis, Stergios/JLL-2823-2023
FU National Natural Science Foundation of China [71821001, 72371109,
   72071088, 72074089, 51938004]; Strategic Study Project of Chinese
   Academy of Engineering [2022-JB-02]; Project of Interdisciplinary
   Research Support Program in Huazhong University of Science and
   Technology [2023-32]
FX The authors would like to thank the reviewers for their valuable
   comments and suggestions which helped to improve the paper. This
   research is jointly supported by the National Natural Science Foundation
   of China (71821001, 72371109, 72071088, 72074089, and 51938004),
   Strategic Study Project of Chinese Academy of Engineering (2022-JB-02),
   and Project of Interdisciplinary Research Support Program in Huazhong
   University of Science and Technology (2023-32). Any opinions, findings,
   and conclusions or recommendations expressed in this material are those
   of the authors and do not necessarily reflect the views of the sponsors.
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   AghaKouchak A, 2018, NATURE, V561, P458, DOI 10.1038/d41586-018-06783-6
   Argyroudis SA, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2021.100387
   Artime O, 2024, NAT REV PHYS, V6, P114, DOI 10.1038/s42254-023-00676-y
   Bakshy E, 2015, SCIENCE, V348, P1130, DOI 10.1126/science.aaa1160
   Barreras F, 2024, NAT COMPUT SCI, V4, P398, DOI 10.1038/s43588-024-00637-0
   BATTY M, 1971, NATURE, V231, P425, DOI 10.1038/231425a0
   Batty M, 2024, NAT COMPUT SCI, V4, P192, DOI 10.1038/s43588-024-00606-7
   Bettencourt L.M., 2021, Introduction to Urban Science: Evidence and Theory of Cities as Complex Systems, DOI [10.7551/mitpress/13909.001.0001, DOI 10.7551/MITPRESS/13909.001.0001]
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Burke M, 2021, SCIENCE, V371, P1219, DOI 10.1126/science.abe8628
   Caldarelli G, 2023, NAT COMPUT SCI, V3, P374, DOI 10.1038/s43588-023-00431-4
   Cheng ZK, 2024, CITIES, V154, DOI 10.1016/j.cities.2024.105321
   Dargin J, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102366
   Dong L., 2024, Nat. Cities, V1, P117, DOI [10.1038/s44284-023-00019-z, DOI 10.1038/S44284-023-00019-Z]
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Hassan EM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21581-x
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Hino M, 2021, NATURE, V595, P27, DOI 10.1038/d41586-021-01750-0
   Jean N, 2016, SCIENCE, V353, P790, DOI 10.1126/science.aaf7894
   Jing RZ, 2024, NATURE, V626, DOI 10.1038/s41586-023-06963-z
   Jongman B, 2021, NATURE, V596, P37, DOI 10.1038/d41586-021-01974-0
   Keys PW, 2019, NAT SUSTAIN, V2, P667, DOI 10.1038/s41893-019-0327-x
   Khatri A, 2022, NATURE, V601, P299, DOI 10.1038/d41586-022-00102-w
   Koks EE, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10442-3
   Levin R, 2021, NAT COMPUT SCI, V1, P588, DOI 10.1038/s43588-021-00125-9
   Lindersson S, 2023, NAT SUSTAIN, V6, P995, DOI 10.1038/s41893-023-01107-7
   Liu K, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38203-3
   Logan TM, 2020, RISK ANAL, V40, P1538, DOI 10.1111/risa.13492
   McDaniels T, 2007, J INFRASTRUCT SYST, V13, P175, DOI 10.1061/(ASCE)1076-0342(2007)13:3(175)
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mervis J, 2023, SCIENCE, V380, P1095, DOI 10.1126/science.adj2237
   Michel-Kerjan E, 2015, NATURE, V524, P389, DOI 10.1038/524389a
   Miller SJ, 2024, NAT SUSTAIN, V7, P247, DOI 10.1038/s41893-024-01273-2
   Montoya-Rincon JP, 2023, NAT ENERGY, V8, P1002, DOI 10.1038/s41560-023-01315-7
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V141, P74, DOI 10.1016/j.ress.2015.03.011
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Pelling M., 2003, VULNERABILITY CITIES
   Pescaroli G, 2018, RISK ANAL, V38, P2245, DOI 10.1111/risa.13128
   Raymond C, 2020, NAT CLIM CHANGE, V10, P611, DOI 10.1038/s41558-020-0790-4
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Ronco M, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-43809-8
   Schill C, 2019, NAT SUSTAIN, V2, P1075, DOI 10.1038/s41893-019-0419-7
   Siragusa A, 2017, Atlas of the human planet 2017: global exposure to natural hazards
   State Council (PRC) Disaster Investigation Group, 2022, INVESTIGATION REPORT
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Tuholske C, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2024792118
   Tullos D, 2018, P NATL ACAD SCI USA, V115, P3731, DOI 10.1073/pnas.1722412115
   Tupper AC, 2023, NATURE, V623, P478, DOI 10.1038/d41586-023-03510-8
   Tzachor A, 2022, NAT SUSTAIN, V5, P822, DOI 10.1038/s41893-022-00923-7
   United Nations Office for Disaster Risk Reduction (UNDRR) International Science Council (ISC), 2020, Report
   Vestby J, 2024, P NATL ACAD SCI USA, V121, DOI 10.1073/pnas.2206188120
   Völker B, 2022, NAT SUSTAIN, V5, P96, DOI 10.1038/s41893-021-00820-5
   World Bank Group, 2023, Urban development
   World Economic Forum, 2023, GLOB RISKS REP 2023
   World Meteorological Organization Caribbean Disaster Emergency Management Agency United Nations Development Program and International Federation of the Red Cross and Red Crescent Societies, 2018, OUTC 1 MULT EARL WAR
NR 57
TC 0
Z9 0
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2095-8099
EI 2096-0026
J9 ENGINEERING-PRC
JI Engineering
PD JAN
PY 2025
VL 44
BP 44
EP 50
DI 10.1016/j.eng.2024.12.023
EA MAR 2025
PG 7
WC Engineering, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA 0BY6Q
UT WOS:001443734600001
OA gold
DA 2025-04-22
ER

PT J
AU Menéndez, EP
   García, EH
AF Pozo Menendez, Elisa
   Higueras Garcia, Ester
TI Urban Sustainability Versus the Impact of Covid-19 A Madrid Case
   Study
SO DISP
LA English
DT Article
ID HEALTH
AB Most recent research on urban health has primarily been focused on non-communicable diseases related to sedentary lifestyles, unbalanced diets and the high concentration of pollutants derived from anthropogenic activities. Cardiovascular and respiratory diseases, heatstroke and cold-related problems and injuries and accidents due to road traffic were some of the main public health challenges over several decades (HUDU 2007), which aligned perfectly with Sustainable Development Goals #3 (Health and Wellbeing), #11 and #13. However, Covid-19 has brought a new scenario, in which high density in cities has been questioned from the very first outbreak, as transmission of the virus is related to human interaction. This work takes Madrid as a case study. Madrid has a population of 3 266 126 (INE 2019), which Covid-19 impacted with 9134 deaths and more than 70 629 infections from March to June 2020 (Spanish Ministry of Health 2020). The research questions are: Would density be a conduit or obstacle to Madrid's high infection ratio? Is density related to greater resilient networks in the city? Are sustainability variables incompatible with infection prevention?
   Madrid is a dense city (5400 inhabitants/km(2)) with a wide range of heterogeneous urban structures, high levels of motorised mobility and discontinuous green areas. The main results of this work are that i) districts with higher rates of contamination were not the denser ones; ii) south-east peripheral districts were more affected than the central ones but they were also the ones with more support networks; iii) finally, overlapping the spatial structure with the social pattern and density does not determine the spread of the disease. Therefore, it is concluded that Madrid has many sustainability parameters that make it resilient. Moreover, the importance of transversal studies to avoid such dramatic episodes and the ability to plan the city to face future pandemics while retaining urban quality of life are highlighted.
C1 [Pozo Menendez, Elisa; Higueras Garcia, Ester] Univ Politecn Madrid, Dept Urban & Terr Planning, Ave Juan de Herrera 4, Madrid 28040, Spain.
C3 Universidad Politecnica de Madrid
RP Menéndez, EP (corresponding author), Univ Politecn Madrid, Dept Urban & Terr Planning, Ave Juan de Herrera 4, Madrid 28040, Spain.
EM e.pozo@upm.es; ester.higueras@upm.es
RI GARCIA, ESTER/AAM-8179-2020; HIGUERAS GARCIA, ESTER/P-8937-2014
OI HIGUERAS GARCIA, ESTER/0000-0002-0182-8884
CR Alamillos A., 2020, CONFIDENCIAL
   [Anonymous], 2015, People in the EU: who are we and how do we live?, DOI DOI 10.2785/406462
   [Anonymous], 2020, Total Population by Country
   Arcadis, 2018, SUST CIT IND 2018
   Ayuntamiento de Madrid, 2019, OP DAT
   Ayuntamiento de Madrid, 2019, DEM POP
   Ayuntamiento de Madrid, 2020, OP DAT ENT PART CIUD
   Ayuntamiento de Madrid, 2017, DIAGN AV PLAN GEN
   Ayuntamiento de Madrid, 2018, PLAN INFRAESTRUCTURA
   Bedimo-Rung AL, 2005, AM J PREV MED, V28, P159, DOI 10.1016/j.amepre.2004.10.024
   Broom D., 2020, WORLD EC FORUM
   Bruno M., 2008, STOR URB EUR
   Casado D., 2020, CAS COVID 19 ACT MAD
   Choay F., 1983, URBANISMO UTOPIAS RE
   City Mayors Statistics, 2017, SOME 212 MILLION PEO
   European Environmental Agency Agency, 2017, INTERACTIVE MAP GREE
   Eurostat, 2020, 1 POP EST EU POP 202
   Fernández Alicia, 2020, Arch. Pediatr. Urug., V91, P4, DOI 10.31134/ap.91.1.1
   FRAVM, 2020, REDES VECINALES SOLI
   Gardiner B., 2020, NATL GEOGR
   Google LLC, 2020, GOOGLE COVID 19 COMM
   Here, 2018, URBAN MOBILITY INDEX
   Higueras E., 2020, HDB QUALITY LIFE SUS
   HUDU L. U. C., 2007, DELIVERING HLTH COMM
   Instituto de Estadistica de la Ciudad de Madrid, 2019, DENSIDAD POBLACION
   Khadka N.S., 2020, BBC News
   Linares Gil C., 2020, DIECISIETE, V3, P43, DOI [10.36852/2695-4427, DOI 10.36852/2695-4427]
   Linde P., 2020, PAIS
   LineaMadrid data, 2020, ALARM STATE COVID 19
   Matsuoka RH, 2008, LANDSCAPE URBAN PLAN, V84, P7, DOI 10.1016/j.landurbplan.2007.09.009
   Mayo C. G., 2019, EXPANSION
   National Statistics Institute of Spain, 2019, MADRIDS POPULATION M
   Rueda Palenzuela S., 2007, BARCELONA CIUDAD MED
   Rueda Palenzuela S., 2010, INDICADORES SOSTENIB
   Russell JamesS., 2020, NEW YORK TIMES
   Segura del Pozo J., 2015, DESIGUALDADES ESPERA
   Sequera J., 2014, CIUDAD NEOLIBERAL GE
   Shanahan DF, 2015, BIOSCIENCE, V65, P476, DOI 10.1093/biosci/biv032
   Spanish Ministry of Health, 2020, TECHNICAL REPORT
   Statistics Institute Comunidad de Madrid, 2019, DENSIDAD POBLACION
   UN, 2020, SUSTAINABLE DEV GOAL, DOI DOI 10.1007/978-3-030-02006-4_526-1
   World Do Meters, 2020, WORLD METERS
NR 42
TC 12
Z9 12
U1 0
U2 9
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0251-3625
EI 2166-8604
J9 DISP
JI disP
PY 2020
VL 56
IS 4
BP 64
EP 81
DI 10.1080/02513625.2020.1906059
PG 18
WC Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Public Administration
GA RF5SD
UT WOS:000634897400009
OA hybrid
DA 2025-04-22
ER

PT J
AU Deng, TJ
   Fu, CL
   Zhang, Y
AF Deng, Tianjie
   Fu, Chenling
   Zhang, Yan
TI What is the connection of urban material stock and socioeconomic
   factors? A case study in Chinese cities
SO RESOURCES CONSERVATION AND RECYCLING
LA English
DT Article
DE Material stock; Material flow analysis; Socioeconomic factors; City;
   Urban metabolism
ID IN-USE STOCKS; FLOWS; BUILDINGS; DYNAMICS; INFRASTRUCTURES;
   URBANIZATION; ACCUMULATION; METABOLISM; ECONOMY
AB The development of urbanization accelerates the construction of urban buildings, infrastructure, and the pro-duction of artifacts to support the basic socioeconomic activities in cities. To prepare for future urban devel-opment and enhance urban resilience, it is necessary to understand the scale of existing buildings, infrastructure and artifacts in cities. Taking Beijing, Shanghai, Guangzhou, Wuhan, and Chengdu as an example, this study used material flow analysis to calculate the material stock of urban buildings, infrastructure, and artifacts from 1978 to 2018, explored the accumulation process and structural changes of urban material stock, and analyzed the driving factors of material stock changes. The results showed that urban material stock had accumulated rapidly, and its constituent structure was dominated by buildings (60-82%) and infrastructure (14-31%), while the artificial products were relatively low (3-7%), and its material structure was dominated by sand and gravel (66-70%). Economic development and urban population were the main drivers for material stock growth, while material intensity and urban-rural structure showed an inhibition effect. The results can provide a scientific basis for sustainable construction and management of material stock in urban buildings, infrastructure and artifacts.
C1 [Deng, Tianjie; Fu, Chenling; Zhang, Yan] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Xinjiekouwai St 19, Beijing 100875, Peoples R China.
C3 Beijing Normal University
RP Zhang, Y (corresponding author), Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Xinjiekouwai St 19, Beijing 100875, Peoples R China.
EM yzhang@bnu.edu.cn
RI Fu, Chenling/GWR-5155-2022; Deng, Tianjie/HKW-1466-2023
FU National Natural Science Foundation of China, China [41871213]
FX This work was supported by the National Natural Science Foundation of
   China, China (no. 41871213).
CR Ajayebi A, 2020, RESOUR CONSERV RECY, V162, DOI 10.1016/j.resconrec.2020.105026
   [Anonymous], 2020, press release
   Augiseau V, 2017, RESOUR CONSERV RECY, V123, P153, DOI 10.1016/j.resconrec.2016.09.002
   Beijing Municipal Bureau of Statistics, 2019, BEIJING STAT YB 1980
   Cao Z, 2017, ENVIRON SCI TECHNOL, V51, P11468, DOI 10.1021/acs.est.7b03077
   Chen WQ, 2015, P NATL ACAD SCI USA, V112, P6265, DOI 10.1073/pnas.1406866112
   Chen WQ, 2012, RESOUR CONSERV RECY, V65, P18, DOI 10.1016/j.resconrec.2012.05.003
   Chengdu Statistic Bureau, 2020, CHENGDU STAT YB 1998
   CSPGCL, 2018, CHINA SO POWER GRID
   Dai TJ, 2022, ALEX ENG J, V61, P3277, DOI 10.1016/j.aej.2021.08.060
   Ding Y, 2021, RESOUR CONSERV RECY, V171, DOI 10.1016/j.resconrec.2021.105635
   Editorial Board of China Electric Power Yearbook, 2019, CHIN EL POW YB 1993
   Fishman T, 2015, ECOL ECON, V113, P76, DOI 10.1016/j.ecolecon.2015.03.001
   Fishman T, 2014, J IND ECOL, V18, P407, DOI 10.1111/jiec.12114
   Fu CL, 2019, SCI TOTAL ENVIRON, V675, P98, DOI 10.1016/j.scitotenv.2019.04.205
   Gerst MD, 2008, ENVIRON SCI TECHNOL, V42, P7038, DOI 10.1021/es800420p
   Gontia P, 2019, J IND ECOL, V23, P1328, DOI 10.1111/jiec.12939
   Göswein V, 2019, ENVIRON SCI TECHNOL, V53, P9992, DOI 10.1021/acs.est.9b01952
   Guan XL, 2018, HABITAT INT, V71, P97, DOI 10.1016/j.habitatint.2017.11.009
   Guangzhou Electric Power Industry Records Codification Committee, 2000, GUANGZHOU ELECT POWE
   Guo J, 2019, RESOUR CONSERV RECY, V146, P45, DOI 10.1016/j.resconrec.2019.03.031
   Haberl H, 2021, ENVIRON SCI TECHNOL, V55, P3368, DOI 10.1021/acs.est.0c05642
   Han J, 2018, ENVIRON SCI TECHNOL, V52, P12122, DOI 10.1021/acs.est.8b03111
   Hao H, 2017, RESOUR POLICY, V51, P100, DOI 10.1016/j.resourpol.2016.12.005
   Hao M, 2020, J CLEAN PROD, V261, DOI 10.1016/j.jclepro.2020.121260
   He H, 2021, ENVIRON SCI TECHNOL, V55, P2767, DOI 10.1021/acs.est.0c02387
   Huang C, 2017, RESOUR CONSERV RECY, V123, P47, DOI 10.1016/j.resconrec.2016.06.014
   Huuhka S, 2021, J IND ECOL, V25, P948, DOI 10.1111/jiec.13107
   Jiang XB, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104969
   Kleemann F, 2017, J IND ECOL, V21, P368, DOI 10.1111/jiec.12446
   Krausmann F, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102034
   Krausmann F, 2018, GLOBAL ENVIRON CHANG, V52, P131, DOI 10.1016/j.gloenvcha.2018.07.003
   Lanau M, 2020, ENVIRON SCI TECHNOL, V54, P4675, DOI 10.1021/acs.est.9b07749
   Li QF, 2019, RESOUR POLICY, V62, P625, DOI 10.1016/j.resourpol.2018.11.011
   Li SP, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2021.125859
   Liu Q, 2019, ENVIRON SCI TECHNOL, V53, P4128, DOI 10.1021/acs.est.9b00387
   Mao RC, 2020, ENVIRON SCI TECHNOL, V54, P5345, DOI 10.1021/acs.est.9b07229
   Marinova S, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119146
   Martinico-Perez MFG, 2017, J IND ECOL, V21, P1226, DOI 10.1111/jiec.12496
   Mesta C, 2019, J IND ECOL, V23, P280, DOI 10.1111/jiec.12723
   Miatto A, 2019, RESOUR CONSERV RECY, V142, P245, DOI 10.1016/j.resconrec.2018.12.011
   Mollaei A, 2021, J CLEAN PROD, V280, DOI 10.1016/j.jclepro.2020.124501
   Muller DB, 2006, ECOL ECON, V59, P142, DOI 10.1016/j.ecolecon.2005.09.025
   National Bureau of Statistics of China, 2019, CHIN STAT YB
   National Bureau of Statistics of China 2020b. Urban Socio-Economic Investigation Division, CHIN STAT YB CONSTR
   Pauliuk S, 2014, GLOBAL ENVIRON CHANG, V24, P132, DOI 10.1016/j.gloenvcha.2013.11.006
   [乔文怡 Qiao Wenyi], 2018, [经济地理, Economic Geography], V38, P51
   Qingdao Municipal Statistics Bureau, 2020, Qingdao tongji nianjian 2007 Qingdao statistical yearbook, 2007
   Ren ZJ, 2022, RESOUR CONSERV RECY, V180, DOI 10.1016/j.resconrec.2022.106173
   SGBEPC (State Grid Beijing Electric Power Company), 2017, STAT GRID BEIJ EL PO
   SGCC (State Grid Corporation of China), 2017, STAT GRID CORP CHIN
   Shanghai Municipal Bureau of Statistics, 2020, SHANGHAI STAT YB 198
   Song LL, 2019, ECOSYST HEALTH SUST, V5, P110, DOI 10.1080/20964129.2019.1598780
   Streeck J, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104960
   Tanikawa H, 2021, J CLEAN PROD, V285, DOI 10.1016/j.jclepro.2020.125450
   Tanikawa H, 2009, BUILD RES INF, V37, P483, DOI 10.1080/09613210903169394
   Nguyen TC, 2019, J IND ECOL, V23, P663, DOI 10.1111/jiec.12773
   UN DESA (UN Department of Economic and Social Affairs), 2019, WORLD URBANIZATION P
   Watari T, 2021, RESOUR POLICY, V70, DOI 10.1016/j.resourpol.2020.101968
   Wei W, 2020, ENERGY, V207, DOI 10.1016/j.energy.2020.118247
   Wiedenhofer D, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102410
   Wiedenhofer D, 2019, ECOL ECON, V156, P121, DOI 10.1016/j.ecolecon.2018.09.010
   Wuhan Statistic Bureau, 2020, WUHAN STAT YB 1995 2
   Zhang L, 2015, ENVIRON SCI TECHNOL, V49, P6430, DOI 10.1021/acs.est.5b00917
   Zhang L, 2014, RESOUR CONSERV RECY, V93, P134, DOI 10.1016/j.resconrec.2014.10.010
   Zhang T, 2019, STRUCT CHANGE ECON D, V51, P24, DOI 10.1016/j.strueco.2019.06.014
   Zhang YP, 2019, RESOUR CONSERV RECY, V147, P49, DOI 10.1016/j.resconrec.2019.04.010
NR 67
TC 11
Z9 11
U1 27
U2 130
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-3449
EI 1879-0658
J9 RESOUR CONSERV RECY
JI Resour. Conserv. Recycl.
PD OCT
PY 2022
VL 185
AR 106494
DI 10.1016/j.resconrec.2022.106494
EA JUL 2022
PG 13
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA 4N9MC
UT WOS:000854335100004
DA 2025-04-22
ER

PT J
AU De Lima, ACB
   Almeida, O
   Pinedo-Vasquez, M
   Lee, TM
   Rivero, S
   Schramski, S
   Mansur, AV
AF De Lima, Ana C. B.
   Almeida, Oriana
   Pinedo-Vasquez, Miguel
   Lee, Tien Ming
   Rivero, Sergio
   Schramski, Sam
   Mansur, Andressa Vianna
TI Climate hazards in small and medium cities in the Amazon Delta and
   Estuary: challenges for resilience
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE Amazon Delta; climate hazards; embankments; informal settlements;
   resilience; small and medium cities; urbanization; vulnerability
AB Recent research on climate vulnerability in cities in the Amazon Delta and Estuary (ADE) shows that about 1.2 million people are at risk of flooding due to the rapid unplanned occupation of lowlands and the absence of investment in infrastructure and services. In this study, we use secondary climate and census data, interviews and focus groups in four small cities in the Amazon Delta and Estuary (SCADEs), to discuss how residents and local governments perceive and respond to climate hazards and their implications. These SCADEs may be better equipped than other urban areas to deal with challenges brought by climate change, due partially to residents' high mobility between urban and rural areas and a tradition of adaptive actions in a dynamic social and environmental context. However, persistent flooding and sinkholes demonstrate the limited capacity of local governments to cope with the dynamics of accelerated occupation of floodplain areas in SCADEs.
C1 [De Lima, Ana C. B.; Almeida, Oriana] Fed Univ Para NAEA UFPA, Ctr Amazonian Studies, Belem, Para, Brazil.
   [De Lima, Ana C. B.] Indiana Univ, CASEL, Bloomington, IN 47405 USA.
   [De Lima, Ana C. B.] Ave Perimetral,1 Guama, BR-66075750 Belem, Para, Brazil.
   [Pinedo-Vasquez, Miguel] Columbia Univ, New York, NY 10027 USA.
   [Lee, Tien Ming] Sun Yat Sen Univ, Sch Life Sci, Guangzhou, Guangdong, Peoples R China.
   [Rivero, Sergio] Fed Univ Para ICSA UFPA, Dept Econ, Belem, Para, Brazil.
   [Schramski, Sam] Western New Mexico Univ, Silver City, NM USA.
   [Schramski, Sam; Mansur, Andressa Vianna] CASEL, Bloomington, IN USA.
   [Mansur, Andressa Vianna] German Ctr Integrat Biodivers Res SDiv IDiv, Synth Ctr, Leipzig, Germany.
C3 Indiana University System; Indiana University Bloomington; Columbia
   University; Sun Yat Sen University; Western New Mexico University
RP De Lima, ACB (corresponding author), Fed Univ Para NAEA UFPA, Ctr Amazonian Studies, Belem, Para, Brazil.; De Lima, ACB (corresponding author), Indiana Univ, CASEL, Bloomington, IN 47405 USA.; De Lima, ACB (corresponding author), Ave Perimetral,1 Guama, BR-66075750 Belem, Para, Brazil.
EM lima.acb@gmail.com; oriana@ufpa.br; miguel@iri.columbia.edu;
   tienminglee@gmail.com; rivero@ufpa.br; sam.schramski@gmail.com;
   andressavmansur@gmail.com
RI Lima, Ana/M-7271-2019; Vianna Mansur, Andressa/C-9307-2019
OI Vianna Mansur, Andressa/0000-0003-4104-3085
FU Climate Resilient Cities Initiative in Latin America (CRC); Ministry of
   Science, Technology, Innovation and Communication of Brazil (MCTIC);
   Coordination for the Improvement of Higher Education Personnel (CAPES)
   -Pro-Amazonia Program; Brazilian National Council for Scientific and
   Technological Development (CNPq); Brazilian National Water Agency (ANA)
FX The authors disclosed receipt of the following financial support for the
   research, authorship, and/or publication of this article: We are
   grateful for the research funding and support of the Climate Resilient
   Cities Initiative in Latin America (CRC). CRC is a joint initiative of
   the Climate and Development Knowledge Network (CDKN), International
   Development Research Center of Canada (IDRC) and Fundacion Futuro
   Latinoamericano (FFLA). We also thank the Ministry of Science,
   Technology, Innovation and Communication of Brazil (MCTIC), the
   Coordination for the Improvement of Higher Education Personnel (CAPES)
   -Pro-Amazonia Program, the Brazilian National Council for Scientific and
   Technological Development (CNPq), and the Brazilian National Water
   Agency (ANA) for funding this research.
CR [Anonymous], 2011, AMAZON VARZEA DECADE
   [Anonymous], 2015, THESIS
   BECKER Bertha., 2013, A urbe amazonida: a floresta e a cidade
   Brondízio ES, 2016, ANN HUM BIOL, V43, P405, DOI 10.1080/03014460.2016.1193222
   Brondizio Eduardo S., 2008, Amazonian Caboclo and the Acai Palm: Forest Farmers in the Global Market
   Campos Thamiris Luisa de Oliveira Brandão, 2015, Rev. Ambient. Água, V10, P182, DOI 10.4136/ambi-agua.1433
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Castro E., 1995, INDUSTRIALIZA O GRAN, P91
   Coe MT, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000740
   Farias G, 2012, THESIS, VProQuest Dissertations and Theses
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   Guedes G, 2009, POPUL ENVIRON, V30, P159, DOI 10.1007/s11111-009-0083-3
   HIRAOKA M, 1995, GLOBAL ENVIRON CHANG, V5, P323, DOI 10.1016/0959-3780(95)00066-W
   HOMMA A., 1990, DINAMICA EXTRATIVISM
   Hori K., 2007, Large Rivers: Geomorphology and Management, P75
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   IBGE, 2016, SER REL MET, V24
   IBGE, 2010, CENS DEM 1950 2010
   IBGE-Instituto Brasileiro de Geografia e Estatistica, 2010, CENS DEM 2010 AGL SU
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lopes M.N. G., 2013, Revista Brasileira de Climatologia, Ano 9, V12, P84, DOI DOI 10.1093/jpe/rtw088
   Mansur AV, 2016, SUSTAIN SCI, V11, P625, DOI 10.1007/s11625-016-0355-7
   Melack J.M., 2012, Climate change and the floodplain lakes of the Amazon Basin, P295, DOI [DOI 10.1002/9781118470596.CH17, 10.1002/9781118470596.ch17]
   Menezes JA, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190808
   Motta Diana Meirelles da, 2002, SERIE CARACTERIZACAO, V3
   Oliveira LJC, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024021
   Padoch C, 2008, ECOL SOC, V13
   Phillips OL, 2009, GEOPHYS MONOGR SER, V186, P373, DOI 10.1029/2008GM000739
   Pinedo-Vasquez M., 2002, Environmental Science Policy, V5, P43, DOI 10.1016/S1462-9011(02)00023-0
   Renaud F, 2016, SUSTAIN SCI, V11, P519, DOI 10.1007/s11625-016-0380-6
   Ribeiro ES, 2017, THESIS
   Sampaio G, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030612
   Santos Romario Valente, 2016, REV POLITICAS PUBLIC, V4, P93
   Schramski Sam, 2018, DTSCH WELLE
   Souza E.B., 2017, Rev. Bras. de Clim, V21, P81, DOI [DOI 10.5380/ABCLIMA.V21I0.41232, 10.5380/abclima.v21i0.41232]
   Souza Paulo Fernando de Souza, 2017, REV BRASILEIRA CLIMA, V21, P94, DOI DOI 10.5380/ABCLIMA.V21I0.51459
   Szabo S, 2016, SUSTAIN SCI, V11, P411, DOI 10.1007/s11625-015-0337-1
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
NR 39
TC 4
Z9 4
U1 3
U2 28
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD APR
PY 2020
VL 32
IS 1
BP 195
EP 212
AR 0956247819874586
DI 10.1177/0956247819874586
EA NOV 2019
PG 18
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA LM6XA
UT WOS:000496063800001
DA 2025-04-22
ER

PT J
AU Nimmagadda, SM
   Harish, KS
AF Nimmagadda, Satyanarayana Murthy
   Harish, K. Sai
TI Review paper on technology adoption and sustainability in India towards
   smart cities
SO MULTIMEDIA TOOLS AND APPLICATIONS
LA English
DT Review
DE Smart cities; Sustainability; Governance; Internet of things; Smart
   agriculture; Smart healthcare systems; Economy; Urbanisation
ID CYBER-SECURITY; CITY; CHALLENGES; INTERNET; THINGS; GRIDS
AB This paper mainly aims to identify the key factors that should be included in building of smart cities in a proper efficient way. Due to rapid increase in urban population, it should be responsible to provide a better way in building of a smart city. Smart city is an idea of providing urban development that includes social, financial, ecological parts of a society. A smart and sustainable city has goals to be achieved in an adaptable, reliable, scalable, accessible, and in resilient way which will be discussed in the methodology section. This paper mainly focuses on some important factors in improving sustainability of smart cities such as climate and environmental issues and governance authorities for improving quality of life of citizens. Also, this paper explains 3E's which are environment, economy and equity are plays a crucial role in rapid development of smart cities. This research is focused on discussing various smart technologies recently used in India and the challenges involved in them. Recent literature on smart city development is reviewed, and the challenges that prevailed in recent technologies are analysed. This paper includes how Internet of Things (IoT), Connectivity, Cloud computing and AI etc., should be effectively used for developing a smart city. This paper deals with the requirements to build smart cities in India - regarding various aspects like available resources, lifestyle, transport management system, smart healthcare system, smart waste management, smart Sanitation, smart railways, smart agriculture, home automation, smart energy consumption etc. This paper also discusses 'smart living,"smart infrastructure,"smart governance,"smart economy,' and other various systems which are need for Smart India in particular. When adopted with proper planning, all the above catalysing with smart services and solutions, build a sustainable city.
C1 [Nimmagadda, Satyanarayana Murthy; Harish, K. Sai] VR Siddhartha Engn Coll, ECE Dept, Vijayawada, Andhra Pradesh, India.
C3 Velagapudi Ramakrishna Siddhartha Engineering College
RP Nimmagadda, SM (corresponding author), VR Siddhartha Engn Coll, ECE Dept, Vijayawada, Andhra Pradesh, India.
EM nsmmit@gmail.com; ksharish98@gmail.com
CR Aazam M, 2016, 2016 IEEE 21ST INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELLING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), P188, DOI 10.1109/CAMAD.2016.7790356
   Aelenei L, 2016, ENRGY PROCED, V91, P970, DOI 10.1016/j.egypro.2016.06.264
   Ahlgren B, 2016, IEEE INTERNET COMPUT, V20, P52, DOI 10.1109/MIC.2016.124
   Angelidou M, 2018, J SCI TECHNOL POLICY, V9, P146, DOI 10.1108/JSTPM-05-2017-0016
   [Anonymous], 2009, The Times of India
   [Anonymous], 2015, World Population Ageing
   Baig ZA, 2017, DIGIT INVEST, V22, P3, DOI 10.1016/j.diin.2017.06.015
   Bhattacharya S, 2015, Reconceptualising smart cities: a reference framework for India
   Braun T, 2018, SUSTAIN CITIES SOC, V39, P499, DOI 10.1016/j.scs.2018.02.039
   Caird SP, 2019, J URBAN DES, V24, P188, DOI 10.1080/13574809.2018.1469402
   Chauhan Sumedha, 2016, Info, V18, P73, DOI 10.1108/info-03-2016-0012
   Chowdhury B, 2007, 2007 AUSTRALASIANTELECOMMUNICATION NETWORKS AND APPLICATIONS CONFERENCE, P64
   Ding ZM, 2016, IEEE T COMPUT, V65, P1377, DOI 10.1109/TC.2015.2479596
   Elmaghraby AS, 2014, J ADV RES, V5, P491, DOI 10.1016/j.jare.2014.02.006
   Farahat IS., 2019, Security in Smart Cities: Models, Applications, and Challenges, P117
   Folianto F, 2015, 2015 IEEE TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING (ISSNIP)
   Gade DS., 2021, INT J MANAG TECHNOL, V6, P47, DOI [10.5281/zenodo.5221206, DOI 10.5281/ZENODO.5221206]
   Government of India AFD, 2018, THES 12 IND CIT FUT
   Haribabu P, 2017, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), P1155, DOI 10.1109/ISS1.2017.8389367
   Israilidis J, 2021, INT J INFORM MANAGE, V56, DOI 10.1016/j.ijinfomgt.2019.07.015
   Jawaid M. F., 2015, INT J ADV RES SCI EN
   Jha IS, 2014, 2014 EIGHTEENTH NATIONAL POWER SYSTEMS CONFERENCE (NPSC)
   Kim TH, 2017, FUTURE GENER COMP SY, V76, P159, DOI 10.1016/j.future.2017.03.034
   Kumar NM, 2018, TECHNOL SMART CITY E, DOI 10.1109/ICSESP.2018.8376669
   Lopes NV, 2017, 2017 IEEE INTERNATIONAL CONFERENCE ON SMART GRID AND SMART CITIES (ICSGSC), P277, DOI 10.1109/ICSGSC.2017.8038591
   Lund H, 2012, ENERGY, V42, P96, DOI 10.1016/j.energy.2012.04.003
   Madakam S, 2015, 2015 5 NATL S INFORM, P1, DOI [10.1109/NSITNSW.2015.7176407, DOI 10.1109/NSITNSW.2015.7176407]
   Mardacany E., 2014, SMART CITIES CHARACT
   Masera M, 2018, P IEEE, V106, P613, DOI 10.1109/JPROC.2018.2812212
   Matthiesen BV, 2013, DESIGN SMART ENERGY, DOI 10.1016/j.rser.2016.02.025
   Mckinsey Global Solutions, 2018, SMART CIT DIG SOL MO
   Ministry of Urban Development (MoUD), 2015, SMART CIT MISS GUID
   Mosannenzadeh F, 2017, CITIES, V64, P54, DOI 10.1016/j.cities.2017.02.001
   Mrityunjaya DH, 2017, 2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC), P1, DOI 10.1109/I-SMAC.2017.8058235
   Murthy, 2020, INT J ADV SCI TECHNO, V29, P6618
   Murthy, 2014, IEEE INT C COMM SIGN
   Murthy, 2014, INT J APPL ENG RES, V9, P9341
   Murthy, 2019, INT J RECENT TECHNOL, V7, P1119
   Murthy Nimmagadda S., 2020, Progress In Electromagnetics Research C, V100, P247
   Murthy N. S., 2012, ELSEVIER SCIVERSE SC
   Murthy NS, 2021, STAT METHODS MED RES, V30, P1042, DOI 10.1177/0962280220983541
   Murthy NS, 2021, J AMB INTEL HUM COMP, DOI 10.1007/s12652-021-03147-3
   MURTHY NS, 2011, WIRELESS COMMUNICATI
   Nimmagadda SM, 2021, WIRELESS PERS COMMUN, V120, P2135, DOI 10.1007/s11277-021-08696-6
   Nimmagadda SM, 2021, WIRELESS PERS COMMUN, V117, P1259, DOI 10.1007/s11277-020-07921-y
   Nimmagadda SM, 2020, SOFT COMPUT, V24, P12523, DOI 10.1007/s00500-020-04690-5
   Okai E, 2018, IEEE 20TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS / IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITY / IEEE 4TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), P1726, DOI 10.1109/HPCC/SmartCity/DSS.2018.00282
   Pierce P., 2017, CHALLENGES SMART CIT
   Pira M, 2021, HUM SOC SCI COMMUN, V8, DOI 10.1057/s41599-021-00879-7
   Prochazkova D, 2018, SMART CITY S PRAGUE, DOI 10.1109/scsp.2018.8402676
   Rana NP, 2019, INFORM SYST FRONT, V21, P503, DOI 10.1007/s10796-018-9873-4
   Ratnavel, 2020, SENIOR PROFESSIONAL
   Raun NF, 2016, 7TH IEEE ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE IEEE IEMCON-2016
   Rhee S, 2016, 2016 1ST INTERNATIONAL WORKSHOP ON SCIENCE OF SMART CITY OPERATIONS AND PLATFORMS ENGINEERING (SCOPE) IN PARTNERSHIP WITH GLOBAL CITY TEAMS CHALLENGE (GCTC) (SCOPE - GCTC)
   Satyanarayana MN, 2020, INNOVATIONS ELECT CO, V107, DOI 10.1007/978-981-15-3172-9_50
   Scuotto V, 2016, BUS P MANAJ J
   Shrivastava V. P., 2019, INT J RECENT TECHNOL, V8, P43
   Silva BN, 2018, SUSTAIN CITIES SOC, V38, P697, DOI 10.1016/j.scs.2018.01.053
   Smart Cities Index, 2017, TOOL EV CIT PUNJ LLO
   Smart Waste Management in Smart Cities, 2018, CLEAN INDIA J
   Stefansson G, 2008, INT J PRODUCT PERFOR, V58, P55, DOI 10.1108/17410400910921083
   Su KH, 2011, 2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), P1028, DOI 10.1109/ICECC.2011.6066743
   Toli AM, 2020, FRONT BUILT ENVIRON, V6, DOI 10.3389/fbuil.2020.00077
   Trindade EP., 2017, Journal of Open Innovation: Technology, Market, and Complexity, V3, P11, DOI DOI 10.1186/S40852-017-0063-2
   Valencia-Arias A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011214
   Veselitskaya N., 2019, Theoretical and Empirical Researches in Urban Management, V14, P85
   Washburn D., 2009, Growth, V17, P1
   Wijaya AS, 2017, INT CONF INSTRUM, P62, DOI 10.1109/ICA.2017.8068414
   Wu ZZ, 2021, J URBAN TECHNOL, V28, P29, DOI 10.1080/10630732.2020.1777045
   Yadav G, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101462
   Zanella A, 2014, IEEE INTERNET THINGS, V1, P22, DOI 10.1109/JIOT.2014.2306328
   Zantalis F, 2019, FUTURE INTERNET, V11, DOI 10.3390/fi11040094
NR 72
TC 7
Z9 7
U1 3
U2 36
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1380-7501
EI 1573-7721
J9 MULTIMED TOOLS APPL
JI Multimed. Tools Appl.
PD AUG
PY 2022
VL 81
IS 19
BP 27217
EP 27245
DI 10.1007/s11042-022-12885-1
EA MAR 2022
PG 29
WC Computer Science, Information Systems; Computer Science, Software
   Engineering; Computer Science, Theory & Methods; Engineering, Electrical
   & Electronic
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering
GA 3B2OW
UT WOS:000772731900006
DA 2025-04-22
ER

PT J
AU Poustie, MS
   Deletic, A
   Brown, RR
   Wong, T
   de Haan, FJ
   Skinner, R
AF Poustie, Michael S.
   Deletic, Ana
   Brown, Rebekah R.
   Wong, Tony
   de Haan, Fjalar J.
   Skinner, Robert
TI Sustainable urban water futures in developing countries: the
   centralised, decentralised or hybrid dilemma
SO URBAN WATER JOURNAL
LA English
DT Article
DE hybrid systems; centralised; infrastructure; developing countries;
   decentralised; sustainable urban water management
ID MULTICRITERIA DECISION-ANALYSIS; MULTIPLE CRITERIA ANALYSIS; LIFE-CYCLE
   ASSESSMENT; WASTE-WATER; TREATMENT SYSTEMS; MANAGEMENT; INFRASTRUCTURE;
   SANITATION; INDICATORS; VULNERABILITY
AB This paper explores whether a mixture of centralised and decentralised urban water systems is preferable for sustainable urban water management. This is of importance for developing countries where there is continued demand for expanding urban water infrastructure. Processes for determining the combination of centralised and decentralised urban water solutions remain largely ad hoc. Using the South West Pacific as a case study, a multi criteria decision analysis (MCDA) methodology drawing on expert elicitation was employed to assess the technical, economic, environmental and resilience performance of urban water infrastructure alternatives; assessing water supply, sewage and stormwater systems. The MCDA analysis was then systematically contrasted with both a series of recommended infrastructural investment plans and the desires of local technocrats in Port Vila, Vanuatu. Results demonstrate a high level of agreement between the MCDA outcomes and local stakeholders, favouring hybrid infrastructure. Conversely, international consultants' infrastructure recommendations continue to reflect traditional engineering paradigms.
C1 [Poustie, Michael S.; Deletic, Ana; de Haan, Fjalar J.] Monash Univ, Dept Civil Engn, Monash Water Liveabil, Clayton, Vic 3800, Australia.
   [Brown, Rebekah R.; de Haan, Fjalar J.] Monash Univ, Sch Geog & Environm Sci, Monash Water Liveabil, Clayton, Vic 3800, Australia.
   [Wong, Tony; Skinner, Robert] Monash Univ, Cooperat Res Ctr Water Sensit Cities, Clayton, Vic 3800, Australia.
C3 Monash University; Monash University; Cooperative Research Centre for
   Water Sensitive Cities (CRCWSC); Monash University
RP Poustie, MS (corresponding author), Monash Univ, Dept Civil Engn, Monash Water Liveabil, Clayton, Vic 3800, Australia.
EM Michael.Poustie@monash.edu
RI Deletic, Ana/CAG-2385-2022
OI Brown, Rebekah/0000-0002-8689-7562; Deletic, Ana/0000-0002-3535-7451
CR Abrishamchi A, 2005, J WATER RES PLAN MAN, V131, P326, DOI 10.1061/(ASCE)0733-9496(2005)131:4(326)
   ADB, 2012, PROM INN WAST MAN AS
   ADB, 2009, REP FIJ ISL SUV NAS
   ADB, 2005, WAT SUPPL SAN PROJ
   [Anonymous], 2009, COMP SANITATION SYST
   Arnell NW, 2005, RISK ANAL, V25, P1419, DOI 10.1111/j.1539-6924.2005.00689.x
   ASHLEY R, 2008, DAYWATER ADAPTIVE DE
   Ashley R., 2002, URBAN WATER, V4, P123, DOI [DOI 10.1016/S1462-0758(02)00010-9, 10.1016/S1462-0758(02)00010-9]
   Asian Development Bank (ADB), 2010, PORT VIL URB DRAIN S
   Asian Development Bank (ADB), 2003, WAT ALL WAT POL AS D
   Asian Development Bank (ADB), 1998, SAN MAST PLAN PORT V
   Asian Development Bank (ADB), 1996, REP VAN URB INFR PRO
   Asian Development Bank (ADB), 1994, URB INFR PROJ PORT V
   Balkema A.J., 2002, URBAN WATER, V4, P153, DOI [10.1016/S1462-0758(02)00014-6, DOI 10.1016/S1462-0758(02)00014-6]
   Bieker S, 2010, WATER SCI TECHNOL, V61, P2905, DOI 10.2166/wst.2010.189
   Brown LE, 2010, SCI TOTAL ENVIRON, V409, P256, DOI 10.1016/j.scitotenv.2010.09.040
   Coombes P. J., 2011, TRANSITIONING RESILI
   Daigger GT, 2009, WATER ENVIRON RES, V81, P809, DOI 10.2175/106143009X425898
   De Carvalho SCP, 2009, WATER SA, V35, P144
   de Graaf R, 2009, NAT HAZARDS, V51, P407, DOI 10.1007/s11069-007-9184-4
   Drangert J.-O., 2002, Public Works Management Policy, V6, P172
   Duffy A., 2011, 12 INT C URB DRAIN 1
   Ellis JB, 2004, SCI TOTAL ENVIRON, V334, P251, DOI 10.1016/j.scitotenv.2004.04.066
   Foxon T.J., 2002, Journal of Environmental Planning and Management, V45, P285, DOI [DOI 10.1080/09640560220116341, 10.1080/09640560220116341]
   Gladwell J., 2008, SUSTAINABILITY CRITE
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Gleick PH, 1996, WATER INT, V21, P83, DOI 10.1080/02508069608686494
   Graddon AR, 2011, WATER SCI TECHNOL, V63, P2268, DOI 10.2166/wst.2011.152
   Hajkowicz S, 2008, EUR J OPER RES, V184, P255, DOI 10.1016/j.ejor.2006.10.045
   Hajkowicz S, 2007, WATER RESOUR MANAG, V21, P1553, DOI 10.1007/s11269-006-9112-5
   Hellström D, 2000, ENVIRON IMPACT ASSES, V20, P311, DOI 10.1016/S0195-9255(00)00043-3
   Huang DB, 2007, J ENVIRON MANAGE, V84, P49, DOI 10.1016/j.jenvman.2006.05.004
   ISF-UTS, 2011, PAP NEW GUIN WAT SAN
   ISF-UTS, 2011, TIM LEST WAT SAN HYG
   ISF-UTS, 2011, SAM WAT SAN HYG SECT
   ISF-UTS, 2011, VAN WAT SAN HYG SECT
   Kodikara PN, 2010, EUR J OPER RES, V206, P209, DOI 10.1016/j.ejor.2010.02.016
   Lai E, 2008, URBAN WATER J, V5, P315, DOI 10.1080/15730620802041038
   Larsen TA, 2009, ENVIRON SCI TECHNOL, V43, P6121, DOI 10.1021/es803001r
   Lenth RV, 2001, AM STAT, V55, P187, DOI 10.1198/000313001317098149
   Libralato G, 2012, J ENVIRON MANAGE, V94, P61, DOI 10.1016/j.jenvman.2011.07.010
   Lienert J, 2006, ENVIRON SCI TECHNOL, V40, P436, DOI 10.1021/es0514139
   Lundie S, 2004, ENVIRON SCI TECHNOL, V38, P3465, DOI 10.1021/es034206m
   Lundin M, 2000, ENVIRON SCI TECHNOL, V34, P180, DOI 10.1021/es990003f
   Lundin M., 2002, Urban Water, V4, P145, DOI [10.1016/S1462-0758(02)00015-8, DOI 10.1016/S1462-0758(02)00015-8]
   Makropoulos CK, 2010, WATER RESOUR MANAG, V24, P2795, DOI 10.1007/s11269-010-9580-5
   Malisie A., 2008, THESIS HAMBURG U TEC
   Mara D, 2008, WATER POLICY, V10, P119, DOI 10.2166/wp.2008.034
   Marks JS, 2006, DESALINATION, V187, P137, DOI 10.1016/j.desal.2005.04.074
   Martin C, 2007, EUR J OPER RES, V181, P338, DOI 10.1016/j.ejor.2006.06.019
   Massoud MA, 2009, J ENVIRON MANAGE, V90, P652, DOI 10.1016/j.jenvman.2008.07.001
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Montangero A, 2007, SCI TOTAL ENVIRON, V384, P55, DOI 10.1016/j.scitotenv.2007.05.032
   Morgan M., 1990, Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
   Morrison G, 2001, WATER SA, V27, P219
   Mutikanga HE, 2011, WATER RESOUR MANAG, V25, P3947, DOI 10.1007/s11269-011-9896-9
   Newman P, 2001, WATER SCI TECHNOL, V43, P93, DOI 10.2166/wst.2001.0188
   Norton J. W. Jr., 2009, Water Environment Research, V81, P1440, DOI 10.2175/106143009X12445568399893
   Otterpohl R, 2003, WATER SCI TECHNOL, V48, P23, DOI 10.2166/wst.2004.0795
   Parkinson J, 2003, ENVIRON URBAN, V15, P75, DOI 10.1177/095624780301500119
   Pearce-Oroz G., 2006, Water Policy, V8, P31
   Peter-Varbanets M, 2009, WATER RES, V43, P245, DOI 10.1016/j.watres.2008.10.030
   Poustie M., 2013, PORT VILAS TRANSITIO
   Poustie MS, 2014, J WATER CLIM CHANGE, V5, P244, DOI 10.2166/wcc.2013.242
   Prihandrijanti M, 2008, EFFICIENT MANAGEMENT, P259
   Rip A., 1998, HUMAN CHOICE CLIMATE, V2
   Rosemarin A, 2005, WATER SCI TECHNOL, V51, P109, DOI 10.2166/wst.2005.0238
   Rozos E, 2010, J WATER RES PLAN MAN, V136, P531, DOI 10.1061/(ASCE)WR.1943-5452.0000067
   Sa-Nguanduan N, 2011, DESALINATION, V268, P141, DOI 10.1016/j.desal.2010.10.010
   Sahely HR, 2005, CAN J CIVIL ENG, V32, P72, DOI 10.1139/L04-072
   Sapkota M., 2013, MODSIM 2013
   Sharma AK, 2009, ENVIRON ENG SCI, V26, P921, DOI 10.1089/ees.2008.0063
   Sobsey MD, 2008, ENVIRON SCI TECHNOL, V42, P4261, DOI 10.1021/es702746n
   Sparrevik M, 2012, ENVIRON SCI TECHNOL, V46, P1326, DOI 10.1021/es202225x
   Tilley E., 2008, Compendium of sanitation systems and technologies
   Ugwu OO, 2007, BUILD ENVIRON, V42, P665, DOI 10.1016/j.buildenv.2005.10.018
   Vojinovic Z., 2007, Urban Water J., V4, P211, DOI [10.1080/15730620701464190, DOI 10.1080/15730620701464190]
   Walker W, 2000, RES POLICY, V29, P833, DOI 10.1016/S0048-7333(00)00108-6
   Weber B, 2007, WATER SCI TECHNOL, V55, P349, DOI 10.2166/wst.2007.021
   Werbeloff L, 2011, WATER SCI TECHNOL, V64, P2362, DOI 10.2166/wst.2011.774
   Wong T., 2011, TRANSITIONING RESILI
   Wong THF., 2006, Australian runoff quality - A guide to Water Sensitive Urban Design
NR 82
TC 51
Z9 53
U1 3
U2 38
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-062X
EI 1744-9006
J9 URBAN WATER J
JI Urban Water J.
PD OCT 3
PY 2015
VL 12
IS 7
BP 543
EP 558
DI 10.1080/1573062X.2014.916725
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA CQ1PT
UT WOS:000360371100003
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Kim, K
   Riley, S
   Yamashita, E
   Marasco, D
   Webster, L
AF Kim, Karl
   Riley, Sequoia
   Yamashita, Eric
   Marasco, David
   Webster, Lisa
TI Promoting Porosity: Adaptation of Urban Roadways for Flooding and
   Climate Change
SO TRANSPORTATION RESEARCH RECORD
LA English
DT Article
DE sustainability and resilience; transportation systems; extreme weather
   events; climate change; adaptation
ID STORM WATER; BENEFITS
AB Using environmental and transportation data from a dense urban watershed in Honolulu, Hawaii, the use of porous pavement is investigated as a strategy for mitigation and adaptation to flooding events and increasing resilience to climate change. The potential for water capture to abate pollution and recharge aquifers is also considered. This research is motivated by the increased likelihood of flooding and demands for improved transportation resilience. Based on the impacts from a 2004 flood in Honolulu, installation of permeable asphalt pavements on residential streets with low-to-moderate traffic volumes, and 2% to 5% slope, flooding would be significantly reduced. With the highest absorption rate (90%), 1.8 trillion gal/year could be diverted, while, with a lower absorption rate (50%), 691 billion gallons would be captured. The transformation of roadways, culverts, stormwater infrastructure, and existing drainage systems requires a different approach to planning, designing, construction, and paving (or not) roadways. Adoption of nature-based transportation solutions and integration with low impact development standards by local governments are needed to reduce flood risk and improve environmental quality. Design criteria are reviewed in the context of a specific watershed but also for development and application of methods in other locations. Improved communications and collaboration between researchers, land use planners, and practitioners will further advance resilience through innovation and adaptation to climate change. Porosity is also a factor and requires appreciation for nature and understanding of the seepage and conveyance of new ideas.
C1 [Kim, Karl; Riley, Sequoia; Yamashita, Eric; Marasco, David; Webster, Lisa] Univ Hawaii, Dept Urban & Reg Planning, Honolulu, HI 96822 USA.
C3 University of Hawaii System
RP Kim, K (corresponding author), Univ Hawaii, Dept Urban & Reg Planning, Honolulu, HI 96822 USA.
EM karlk@hawaii.edu
OI Yamashita, Eric/0000-0002-0986-4601; Kim, Karl/0000-0003-0528-8747
FU National Disaster Preparedness Training Center; Pacific Urban Resilience
   Lab
FX The authors acknowledge and express gratitude for the support of the
   National Disaster Preparedness Training Center, the Pacific Urban
   Resilience Lab, and research team members, including Eric Yamashita,
   David Marasco, Lisa Webster, Dr. Jiwnath Ghimire, and Dr. Lily Bui, who
   helped with the data collection, calculations, analyses, and support of
   research. We appreciate the thoughtful and helpful comments of several
   anonymous reviewers.
CR Ako D., 2022, PUBLIC COMMENT SOUGH
   [Anonymous], 2022, ALA WAI FLOOD RISK M
   [Anonymous], 2021, GREEN INFRASTRUCTURE
   [Anonymous], 2016, STREAMSTATS PROGRAM
   atsdr, CDC SVI DOCUMENTATIO
   Barrett ME, 2007, TRANSP RES RECORD, P127, DOI 10.3141/2025-13
   Ben-Joseph E., 1995, Residential street standards and neighborhood traffic control: a survey of cities' practices and public officials' attitudes
   Cahill T.H., 2005, Gov. Engin, P14
   Cantilina K, 2021, TRANSPORT RES REC, V2675, P972, DOI 10.1177/03611981211014533
   Chen CF, 2022, LAND-BASEL, V11, DOI 10.3390/land11060951
   civiclive, ROAD CLASSIFICATION
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   Covington M. B., 2017, 3 STORMW WORKSH HOM
   Dreelin EA, 2006, WATER RES, V40, P799, DOI 10.1016/j.watres.2005.12.002
   Hein D. K., 2015, STORMC WORLD ENV WAT
   Henderson V., 2012, Evaluation of the Performance of Pervious Concrete Pavement in the Canadian Climate
   Hou JM, 2019, J ENVIRON MANAGE, V243, P177, DOI 10.1016/j.jenvman.2019.04.096
   Huang J., 2015, Permeable Pavement in Cold Climates - Improving Hydraulic and Water Quality Performance
   Imbe M., 2013, REG WORKSH EC WAT IN
   japanfs, NEW WATER PERMEABLE
   Kayhanian M., 2019, ADV PERMEABLE PAVEME, V8, P358, DOI [10.1016/j.ijtst.2019.01.001, DOI 10.1016/J.IJTST.2019.01.001]
   Kim K, 2022, CIVILENG, V3, P147, DOI 10.3390/civileng3010010
   Kim K, 2018, INT J DISAST RISK RE, V31, P1177, DOI 10.1016/j.ijdrr.2017.10.025
   LA Metro Staff, 2019, PERMEABLE PAVEMENT P
   Larson RA, 2008, J GREEN BUILD, V3, P126, DOI 10.3992/jgb.3.1.126
   Lewis JA, 2019, PROG PLANN, V129, P1, DOI 10.1016/j.progress.2017.10.003
   Li X, 2023, WESTERN J COMM, V87, P879, DOI 10.1080/10570314.2022.2136977
   McCain GN, 2010, TRANSPORT RES REC, P66, DOI 10.3141/2164-09
   Mullaney J, 2014, CLEAN-SOIL AIR WATER, V42, P111, DOI 10.1002/clen.201300118
   Ndon U. J., 2017, WP REPORT 12 13 MINE
   Nicklow J. W., 2006, COMPREHENSIVE URBAN
   Obla K., 2010, The Indian Concrete Journal, P9
   Peek L, 2020, FRONT BUILT ENVIRON, V6, DOI 10.3389/fbuil.2020.00110
   Pregnolato M, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160023
   pvpc, UNDERSTANDING POROUS
   Rahman S., 2015, INT J TRANSPORTATION, VVol. 4, P77
   Riley S., 2022, THESIS U HAWAII MANO
   Sahdeo SK, 2022, TRANSPORT RES REC, V2676, P514, DOI 10.1177/03611981211069938
   Schaus L. K., 2017, WORLD ENV WAT RES C
   Setagaya Green Infrastructure Library, US
   Sutton PC, 2009, PROG PHYS GEOG, V33, P510, DOI 10.1177/0309133309346649
   Terhell S-L., 2015, Cost and Benefit Analysis of Permeable Pavements in Water Sustainability
   Ting M., 2001, Preliminary Evaluation of the Lifecycle Costs and Market Barriers of Reflective Pavements
   Toribio A., 2021, CONFLUENCE MOBILE IN
   U.S. Department of Housing and Urban Development, 1998, US
   U.S. Geological Survey, 2016, US
   Un K., 2010, MAPC
   United States Army Corps of Engineers (USACE), 2020, NEW RECOMMENDED SYST
   United States Army Corps of Engineers (USACE), 2017, ALA WAI CANAL FLOOD
   Webb B., 2019, Nature-Based Solutions for Coastal Highway Resilience: An Implementation Guide
   Wheeler T., 2014, The Baltimore Sun
   Xie N, 2019, J CLEAN PROD, V210, P1605, DOI 10.1016/j.jclepro.2018.11.134
NR 52
TC 1
Z9 2
U1 5
U2 23
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0361-1981
EI 2169-4052
J9 TRANSPORT RES REC
JI Transp. Res. Record
PD JUL
PY 2024
VL 2678
IS 7
BP 549
EP 562
DI 10.1177/03611981231208188
EA NOV 2023
PG 14
WC Engineering, Civil; Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Transportation
GA A9Z8W
UT WOS:001114029300001
DA 2025-04-22
ER

PT J
AU Galle, NJ
   Nitoslawski, SA
   Pilla, F
AF Galle, Nadine J.
   Nitoslawski, Sophie A.
   Pilla, Francesco
TI The Internet of Nature: How taking nature online can shape urban
   ecosystems
SO ANTHROPOCENE REVIEW
LA English
DT Article
DE biophilic cities; ecological engineering; green infrastructure; green
   space; Internet of hings; nature-based solutions; smart cities;
   sustainability; urban forests; urban technology
ID EVOLUTION; CITIES; FOREST
AB Many of our cities are going digital. From self-driving cars to smart grids to intelligent traffic signals, these smart cities put data and digital technology to work to drive efficiency and improve the quality of life for citizens. Yet, the natural capital upon which cities rely risks being left behind by the digital revolution. Bringing nature online is the next frontier in ecosystem management and will change our relationship with the natural world in the urban age. In this article, we introduce the 'Internet of Nature' to bridge the gap between greener and smarter cities and to explore the future of urban ecosystem management in an age of rapid urbanisation and digitisation. The creation of an Internet of Nature, along with the ecosystem intelligence it provides, is an opportunity to elicit and understand urban ecosystem dynamics, promote self-sufficiency and resilience in ecosystem management and enhance connections between urban social and ecological systems.
C1 [Galle, Nadine J.; Pilla, Francesco] Univ Coll Dublin, Coll Engn & Architecture, UCD Engn & Mat Sci Ctr, Belfield, Ireland.
   [Nitoslawski, Sophie A.] Univ British Columbia, Dept Forest Resources Management, Fac Forestry, Vancouver, BC, Canada.
C3 University College Dublin; University of British Columbia
RP Galle, NJ (corresponding author), Univ Coll Dublin, Coll Engn & Architecture, UCD Engn & Mat Sci Ctr, Dublin D14 E099, Ireland.
EM nadine.galle@ucdconnect.ie
RI Nitoslawski, Sophie/AAF-1398-2019
OI Galle, Nadina/0000-0002-2762-9154; Nitoslawski,
   Sophie/0000-0002-3754-6344; Pilla, Francesco/0000-0002-1535-1239
CR Annerstedt M, 2013, PHYSIOL BEHAV, V118, P240, DOI 10.1016/j.physbeh.2013.05.023
   [Anonymous], 2001, IMPACTS INFORM COMMU
   [Anonymous], 2012, ARTHRITIS RHEUMATISM, V64, pS755
   Ash J, 2018, PROG HUM GEOG, V42, P25, DOI 10.1177/0309132516664800
   Bainard LD, 2011, MYCORRHIZA, V21, P91, DOI 10.1007/s00572-010-0314-6
   Beatley Timothy., 2011, Biophilic Cities: Integrating Nature into Urban Design and Planning
   Bibria SE, 2017, SUSTAIN CITIES SOC, V29, P219, DOI 10.1016/j.scs.2016.11.004
   Bodini A, 2012, ECOL MODEL, V245, P185, DOI 10.1016/j.ecolmodel.2012.02.022
   Buettel JC, 2016, RESTOR ECOL, V24, P843, DOI 10.1111/rec.12387
   Cheptou PO, 2008, P NATL ACAD SCI USA, V105, P3796, DOI 10.1073/pnas.0708446105
   Colding J, 2017, J CLEAN PROD, V164, P95, DOI 10.1016/j.jclepro.2017.06.191
   Donihue CM, 2015, AMBIO, V44, P194, DOI 10.1007/s13280-014-0547-2
   Elliott S, 2016, BIOTROPICA, V48, P825, DOI 10.1111/btp.12387
   Estreguil C, 2019, 29449 EUR EUR ENV AG
   Euromonitor, 2019, MEG DEV COUNTR DOM
   Giezen M, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7090381
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hartig T, 2016, SCIENCE, V352, P938, DOI 10.1126/science.aaf3759
   Hillgren P-A., 2013, PUBLIC COLLABORATIVE, P75
   Ives CD, 2017, CURR OPIN ENV SUST, V26-27, P106, DOI 10.1016/j.cosust.2017.05.005
   Kahn PH, 2009, CURR DIR PSYCHOL SCI, V18, P37, DOI 10.1111/j.1467-8721.2009.01602.x
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Koppenjan JFM, 2009, PUBLIC ADMIN REV, V69, P284, DOI 10.1111/j.1540-6210.2008.01974.x
   Manville C., 2014, IPAITREST201302
   Manzella V., 2013, P 11 ACM C EMBEDDED, DOI [10.1145, DOI 10.1145/2517351.2517403, DOI 10.1145/2517351.2517403)]
   McKinney ML, 2006, BIOL CONSERV, V127, P247, DOI 10.1016/j.biocon.2005.09.005
   Nemeth E, 2009, ANIM BEHAV, V78, P637, DOI 10.1016/j.anbehav.2009.06.016
   Nitoslawski SA, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101770
   Renature, 2019, MERRIAM WEBSTERS COL
   Roman LA, 2011, URBAN FOR URBAN GREE, V10, P269, DOI 10.1016/j.ufug.2011.05.008
   Schilthuizen M., 2019, Darwin comes to town: How the urban jungle drives evolution
   Sidewalk Labs, 2019, TOR TOM NEW APPR INC
   Simard S., 2016, TED TALK
   Song YY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08495
   Steenberg JWN, 2019, LANDSCAPE URBAN PLAN, V186, P24, DOI 10.1016/j.landurbplan.2019.02.006
   Tabrizian P, 2018, J ENVIRON PSYCHOL, V55, P99, DOI 10.1016/j.jenvp.2018.01.001
   Tomalty R., 2017, SYSTEMS APPROACH URB
   Viitanen J, 2014, ENVIRON PLANN A, V46, P803, DOI 10.1068/a46242
   Wohlleben Peter., 2016, The Hidden Life of Trees: What They Feel, How They Communicate: Discoveries from a Secret World
NR 39
TC 30
Z9 34
U1 1
U2 62
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 2053-0196
EI 2053-020X
J9 ANTHROPOCENE REV
JI Anthr. Rev.
PD DEC
PY 2019
VL 6
IS 3
BP 279
EP 287
DI 10.1177/2053019619877103
PG 9
WC Environmental Sciences; Environmental Studies; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology
GA JC5SE
UT WOS:000489342400007
DA 2025-04-22
ER

PT J
AU Leitner, H
   Sheppard, E
AF Leitner, Helga
   Sheppard, Eric
TI Provincializing Critical Urban Theory: Extending the Ecosystem of
   Possibilities
SO INTERNATIONAL JOURNAL OF URBAN AND REGIONAL RESEARCH
LA English
DT Article
DE Provincialization; critical urban theory; comparative analytic; engaged
   pluralism
ID ORDINARY CITY; GEOGRAPHY; SUBALTERN; POLITICS; ECONOMY; CITIES; SOUTH
AB Advocating a provincialization of critical urban theory, we seek to move beyond current polarizations and disputes over the basis of urban theory, creating space to take seriously the possibility that no single theory suffices to account for the variegated nature of urbanization and cities across the world. Such provincialization requires a serious engagement with both mainstream and critical Anglophone urban theory, challenging the seeming naturalness of knowledge claims through rigorous theoretical and empirical scrutiny from the standpoint of peripheral perspectives located outside the core. This entails recognizing the existence of a shifting ecosystem of critical urban theories, putting these into even-handed critical conversation with one another. The collective resilience of urban theory will be dependent upon ongoing engagement across such diversity. At the heart of such an ecosystem are shifts in practice, seeking a new comparative analytic that destabilizes the universalism of the dominant norm, against which all other exemplars are to be compared, with the imperative of taking the field seriously.
C1 [Leitner, Helga; Sheppard, Eric] Univ Calif Los Angeles, Dept Geog, 1255 Bunche Hall,Box 951524, Los Angeles, CA 90095 USA.
C3 University of California System; University of California Los Angeles
RP Leitner, H (corresponding author), Univ Calif Los Angeles, Dept Geog, 1255 Bunche Hall,Box 951524, Los Angeles, CA 90095 USA.
EM hleitner@geog.ucla.ed; esheppard@geog.ucla.edu
RI Sheppard, Eric/U-4097-2019
CR Amen M.Mark., 2006, RELOCATING GLOBAL CI
   Amin A, 1997, T I BRIT GEOGR, V22, P411, DOI 10.1111/j.0020-2754.1997.00411.x
   Amin Ash., 2002, CITIES REIMAGINING U
   [Anonymous], 2019, Our Common Future
   [Anonymous], 1988, P ADDRESSES AM PHILO
   [Anonymous], HDB URBAN REGIONAL E
   [Anonymous], 2006, Competitive cities in the global economy, DOI 10.1787/9789264010307-4-en
   [Anonymous], 2007, ONE EC MANY RECIPES
   [Anonymous], MARXISM TODAY JUN
   [Anonymous], 1994, MONEY
   [Anonymous], 2009, World Bank (2009), "Water Climate Change." Available online at www.worldbank.org: http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTWAT/0,,contentMDK:21723353~pagePK:148956~piPK:216618~theSitePK:4602123,00.html; accessed February 9, 2009.
   Barnes TJ, 2010, PROG HUM GEOG, V34, P193, DOI 10.1177/0309132509343728
   Bayat A, 2000, INT SOCIOL, V15, P533, DOI 10.1177/026858000015003005
   Benjamin S, 2008, INT J URBAN REGIONAL, V32, P719, DOI 10.1111/j.1468-2427.2008.00809.x
   Brenner N., 2011, CITY, V15, P225, DOI [DOI 10.1080/13604813.2011.568717, 10.1080/13604813.2011.568717]
   Brenner N, 2014, INT J URBAN REGIONAL, V38, P731, DOI 10.1111/1468-2427.12115
   Brenner Neilcd., 2014, Implosions/Explosions: Towards a Study of Planetary Urbanization
   Bunnell T, 2010, INT J URBAN REGIONAL, V34, P415, DOI 10.1111/j.1468-2427.2010.00988.x
   Cadenas A., 2011, BUILDING GLOBALLY CO
   Chakrabarty Dipesh., 2001, Provincializing Europe: Postcolonial Thought and Historical Difference
   Dear Michael., 2001, From Chicago to LA: Making Sense of Urban Theory
   Edensor T, 2012, URBAN THEORY BEYOND THE WEST: A WORLD OF CITIES, P1
   Farias I., 2011, Urban Assemblages: How Actor-Network Theory Changes Urban Studies
   Florida Richard., 2014, The Rise of the Creative Class - Revisited
   Friedman S. S., 2013, COMP THEORIES APPROA
   Gandy M, 2008, ENVIRON PLANN A, V40, P108, DOI 10.1068/a3994
   Harding Sandra, 1991, Whose science, DOI [10.7591/9781501712951, DOI 10.7591/J.CTT1HHFNMG]
   Hart G, 2002, PROG HUM GEOG, V26, P812, DOI 10.1191/0309132502ph405pr
   Lakatos I., 1976, Falsification and the methodology of scientific research programmes
   LATOUR Bruno., 1987, Science in Action Cambridge
   Livingstone DN., 2000, Erdkunde, V54, P285
   Longino H. E., 2002, FATE KNOWLEDGE
   Maringanti A, 2013, ENVIRON PLANN A, V45, P2314, DOI 10.1068/a46256
   Massey D.B., 2008, WORLD CITY
   Mbembe Achille., 2001, POSTCOLONY STUDIES H
   McFarlane C., 2011, City, V15, P375, DOI [10.1080/13604813.2011.595111, DOI 10.1080/13604813.2011.595111]
   McFarlane C., 2011, City, V15, P204, DOI [DOI 10.1080/13604813.2011.568715, 10.1080/13604813.2011.568715]
   McFarlane C, 2008, ENVIRON PLANN D, V26, P480, DOI 10.1068/dcos6
   Miraftab F., 2014, Cities of the Global South Reader
   Parnell S., 2014, Handbook on Cities in the Global South
   Robinson Jennifer., 2006, Ordinary Cities: Between Modernity and Development
   Robinson Jennifer., 2014, The Routledge Handbook on Cities of the Global South
   Roy A, 2005, J AM PLANN ASSOC, V71, P147, DOI 10.1080/01944360508976689
   Roy A, 2011, STUD URBAN SOC CH, P1, DOI 10.1002/9781444346800
   Roy A, 2011, INT J URBAN REGIONAL, V35, P223, DOI 10.1111/j.1468-2427.2011.01051.x
   Roy A, 2009, REG STUD, V43, P819, DOI 10.1080/00343400701809665
   SCOTT AJ, 1989, METROPOLIS DIVISION
   Scott AJ, 2015, INT J URBAN REGIONAL, V39, P1, DOI 10.1111/1468-2427.12134
   Sheppard E, 2004, ANTIPODE, V36, P557, DOI 10.1111/j.1467-8330.2004.00433.x
   Sheppard E., 2014, ROUTLEDGE HDB CITIES
   Sheppard E, 2013, URBAN GEOGR, V34, P893, DOI 10.1080/02723638.2013.807977
   Shi S.-M., 2013, COMP THEORIES APPROA
   Simone A.M., 2004, CITY YET COME
   Smith RG, 2013, ENVIRON PLANN A, V45, P2290, DOI 10.1068/a45516
   Soja EdwardW., 2013, City, V17, P688, DOI DOI 10.1080/13604813.2013.827854
   Spivak Gayatri Chakravorty, 1999, CRITIQUE POSTCOLONIA
   Spivak GayatriChakravorty., 2003, DEATH DISCIPLINE
   Suzuki H, 2010, ECO2 CITIES: ECOLOGICAL CITIES AS ECONOMIC CITIES, P1, DOI 10.1596/978-0-8213-8046-8
   United Nations Centre for Human Settlement, 2001, CIT GLOB WORLD
   Ward K, 2010, PROG HUM GEOG, V34, P471, DOI 10.1177/0309132509350239
   Werner M., 2012, WILEY BLACKWELL COMP
NR 61
TC 127
Z9 141
U1 0
U2 26
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0309-1317
EI 1468-2427
J9 INT J URBAN REGIONAL
JI Int. J. Urban Reg. Res.
PD JAN
PY 2016
VL 40
IS 1
BP 228
EP 235
DI 10.1111/1468-2427.12277
PG 8
WC Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration; Urban Studies
GA DR6QF
UT WOS:000380025700017
DA 2025-04-22
ER

PT J
AU Keen, M
   Sanderson, D
   Osborne, K
   Deo, R
   Faith, J
   Ride, A
AF Keen, Meg
   Sanderson, David
   Osborne, Kira
   Deo, Roshika
   Faith, Janet
   Ride, Anouk
TI Area-based approaches and urban recovery in the Pacific: lessons from
   Fiji, Solomon Islands and Vanuatu
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE area-based approaches; climate change; disaster; humanitarian response;
   localisation; Pacific Islands; resilience; urbanisation
ID ADAPTATION
AB Flooding events are set to worsen in rapidly urbanising Pacific Islands.((1)) Most Pacific Island cities and towns are in low-lying areas vulnerable to more severe tropical cyclones and rising sea levels. Approaches to disaster response and recovery need to improve. This article uses four principles drawn from area-based approaches (ABAs) - people-centred responses, adaptive processes, multi-sector collaboration and reflective practice - to review urban disaster recovery efforts in Fiji, Solomon Islands and Vanuatu. Information was gathered through key informant interviews and a literature review. The research found positive examples of collaboration, locally tailored social protection mechanisms and community leadership. It also found challenges, including bypassed community structures and traditional adaptation techniques, duplication of efforts and weak coordination. The article concludes with a call to localise ABA approaches further, to strengthen people-centred disaster recovery and locally owned resilience.
C1 [Keen, Meg; Osborne, Kira; Deo, Roshika; Faith, Janet; Ride, Anouk] Australian Natl Univ, Australia Pacific Secur Coll, Crawford Sch Publ Policy, Canberra, ACT, Australia.
   [Sanderson, David] Univ New South Wales, Architecture, Sydney, NSW, Australia.
C3 Australian National University; University of New South Wales Sydney
RP Sanderson, D (corresponding author), Univ New South Wales, Red Ctr West, Architecture, Sydney, NSW 2052, Australia.
EM Meg.Keen@anu.edu.au
RI Sanderson, David/AAL-6224-2020
OI Ride, Anouk/0009-0002-3194-4146; Sanderson, David/0000-0003-0398-4343
CR ACP-EU, 2020, RES RES SER
   ADB, 2020, PAC URB UPD 2020
   [Anonymous], 2020, No turning back: local leadership in Vanuatus response to Tropical Cyclone Harold
   [Anonymous], 2016, WORLD CITIES REPORT
   [Anonymous], 2013, Sahtu Land Use Plan
   Arevalo. GF., 2019, HUMANITARIAN EXCHANG, V74, P1
   Ayobi Y.A., 2017, Going local: achieving a more appropriate and fit-for-purpose humanitarian ecosystem in the Pacific
   Barbara J., 2017, Development Bulletin, V78, P16
   Beckford C, 2018, J ENVIRON STUD SCI, V8, P42, DOI 10.1007/s13412-017-0440-y
   Birk T, 2014, NAT RESOUR FORUM, V38, P1, DOI 10.1111/1477-8947.12038
   Bruce L., 2020, URBANISATION RISK PA
   Connell J., 2020, Urbanisation at Risk in the Pacific and Asia, P3, DOI [10.4324/9780429290176, DOI 10.4324/9780429290176]
   Day J., 2020, This is our garden now': disasters and belonging in an urban Pacific
   Ensor J. E., 2018, Climate and Development, V10, P134, DOI 10.1080/17565529.2016.1223595
   ESCAP, 2019, DIS RISKSC PAC SMALL
   Esler S., 2015, Vanuatu Post-disaster needs Assessment: Tropical Cyclone Pam, March 2015
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fletcher SM, 2013, J ENVIRON PUBLIC HEA, V2013, DOI 10.1155/2013/264503
   Global Shelter Cluster, 2020, SETTL APPR GUID NOT
   Government of Vanuatu National Advisory Board on Climate Change and Disaster Risk Reduction, 2013, TANN ISL COUNC CHIEF
   Ha'apio MO, 2019, WORLD DEV, V122, P514, DOI 10.1016/j.worlddev.2019.06.023
   Ivaschenko O, 2020, DISASTERS, V44, P455, DOI 10.1111/disa.12411
   Jones. P., 2011, DEV B, V94
   Keen M., 2021, PUTTING PEOPLE 1 ARE
   Keen M., 2017, Urban Development in Honiara: Harnessing Opportunities, Embracing Change
   Keen M, 2019, URBAN POLICY RES, V37, P324, DOI 10.1080/08111146.2019.1626710
   Keen Meg., 2005, SOCIAL LEARNING ENV
   Konyndyk J., 2021, INCLUSIVE COORDINATI
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Lough Oliver., 2021, 5 YEARS WORLD HUMANI
   Magee AD, 2016, NAT HAZARD EARTH SYS, V16, P1091, DOI 10.5194/nhess-16-1091-2016
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   McEvoy D, 2020, CLIM DEV, V12, P1, DOI 10.1080/17565529.2019.1594666
   Mecartney, 2017, SUSTAINABILITY-BASEL, V9, P1
   Mecartney S, 2017, STATE SOC GOV MELANE, P57
   Meredith M., 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
   Murray WE, 2011, ASIA PAC VIEWP, V52, P272, DOI 10.1111/j.1467-8373.2011.01468.x
   Oppenheimer M., 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
   Pacific Islands Forum [PIF], 2018, PAC ISL FOR EXPL REG
   Parker E., 2015, Humanitarian response to urban crises: a review of area-based approaches
   Remling E, 2016, INT J CLIM CHANG STR, V8, P375, DOI 10.1108/IJCCSM-07-2015-0101
   Ride A., 2011, Community Resilience in Natural Disasters
   Sanderson D., 2018, 10 PRINCIPLES AREA B
   Sanderson D., 2017, URBAN AREA BASED APP
   Sanderson D, 2019, Urban humanitarian response, V12
   Sanderson D, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100004
   Sanderson D, 2017, ENVIRON URBAN, V29, P349, DOI 10.1177/0956247817717422
   Schuermann S, 2016, NAT HAZARDS, V84, P1287, DOI 10.1007/s11069-016-2486-7
   SPC, 2016, TROP CYCL PAM LESS
   Sphere, 2020, US SPHER STAND URB 2
   Thomas P., 2017, DEV B URBAN DEV PACI, V78, P1
   Trundle A., 2015, PORT VIL CLIM VULN A
   Trundle A, 2020, CITIES, V97, DOI 10.1016/j.cities.2019.102496
   Trundle A, 2019, ENVIRON URBAN, V31, P53, DOI 10.1177/0956247818816654
   UNDP, 2014, HON SOL ISL CLIM CHA
   USWG, 2019, AR BAS APPR URB SETT
   Walshe RA, 2012, INT J DISAST RISK SC, V3, P185, DOI 10.1007/s13753-012-0019-x
   Western Pacific Region, 2015, Human Health and Climate Change in Pacific Island Countries
   World Bank, 2013, ACT CLIM CHANG DIS
   World Bank, 2017, REP FIJ SYST COUNTR
NR 60
TC 5
Z9 5
U1 0
U2 35
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD APR
PY 2022
VL 34
IS 1
BP 151
EP 169
AR 09562478211072668
DI 10.1177/09562478211072668
EA MAR 2022
PG 19
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA 0V2LU
UT WOS:000770020900001
DA 2025-04-22
ER

PT J
AU Gupta, M
   Talankar, P
   Chavda, S
AF Gupta, Manu
   Talankar, Parag
   Chavda, Shivangi
TI Citizens of Delhi lead resilience action
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article
DE Governance; Urban resilience; Youth engagement; ICT for disasters;
   Citizens action; Urban risk management
AB Purpose The purpose of this paper is to illustrate practical approaches to addressing issues of risk reduction and disaster prevention in urban areas. In addition to exposure to natural hazards, urban areas represent complex risks and vulnerabilities together with complicated governance structures. Design/methodology/approach To address the challenge, SEEDS mobilised a "Disaster Watch Forum" - a citizens' platform that brought citizens together to proactively engage with the local government. With hand-holding support from SEEDS, training by domain experts, internal team building and the forum has become a credible people-based institution addressing issues of risk reduction and prevention. Findings Urban risk reduction has remained a challenging issue with solutions often sought in high investment structural interventions. These have limited impact on the urban poor living in informal areas. This paper reveals "bottom-up" people-based approach that is able to engage with the "system" from "outside". It reveals how people relate to day-to-day risks that affect their lives, making it the stepping stone to address higher order societal risks. Finally, the immense power and energy of youth and children work as local "agents of change". Overall, the work aligns with priorities of the Sendai Framework for Disaster Risk Reduction.
   Research limitations/implications - There are three principal implications for further research: with half the world now urbanized, urgent solutions are needed for improving disaster risk governance in cities; taking a "whole of society" approach in addressing a wider canvas of risks; and redirecting investments in urban areas towards managing risks, rather than managing disasters.
   Practical implications - The model illustrated is replicable in urban areas facing risk. It worked well in a population catchment of 50,000 residents; to achieve scale would require enabling a federated structure of several localised forums.
   Originality/value - The paper presents a hands-on experience in building an alternative approach to urban risk reduction. It has required authors to move from "government to governance" model making citizens active stakeholders in proactively addressing their own underlying vulnerabilities that lead to creation of and exacerbation of risks.
C1 [Gupta, Manu; Talankar, Parag; Chavda, Shivangi] SEEDS, New Delhi, India.
RP Gupta, M (corresponding author), SEEDS, New Delhi, India.
EM manu@seedsindia.org; parag@seedsindia.org; shivangi_chavda@yahoo.com
NR 0
TC 3
Z9 3
U1 3
U2 27
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 0965-3562
EI 1758-6100
J9 DISASTER PREV MANAG
JI Disaster Prev. Manag.
PD FEB 4
PY 2019
VL 28
IS 1
SI SI
BP 69
EP 75
DI 10.1108/DPM-07-2018-0228
PG 7
WC Environmental Studies; Public, Environmental & Occupational Health;
   Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Business & Economics
GA HI3FJ
UT WOS:000456332600009
DA 2025-04-22
ER

PT J
AU Zheng, Y
   Lan, SR
   Chen, WY
   Chen, XY
   Xu, XX
   Chen, YN
   Dong, JW
AF Zheng, Yu
   Lan, Siren
   Chen, Wendy Y.
   Chen, Xiaoyan
   Xu, Xixi
   Chen, Yannan
   Dong, Jianwen
TI Visual sensitivity versus ecological sensitivity: An application
   of GIS in urban forest park planning
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE China; Ecological sensitivity; GIS; Urban forest park; Visual
   sensitivity
ID NATIONAL-PARK; LANDSCAPE SENSITIVITY; PUBLIC PREFERENCES; STAND
   STRUCTURE; CONSERVATION; BIODIVERSITY; WILDERNESS; AESTHETICS; COVER;
   RESILIENCE
AB Planning and management of forest parks have been contentious and challenging, as multiple and sometimes conflicting uses must be accommodated, especially in urban and peri-urban areas. Methodologies are thus needed to explore and evaluate development and conservation initiatives as a crucial part of sustainable planning and management process. In China, urban forest parks have been increasingly established aiming at satisfying the recreational demand of citizens in tandem with preserving diverse natural resources to safeguard the ecological resilience and adaptability of urban ecosystems. The transition from the traditional focus on recreational use (emphasizing the improvement of visitors' visual quality and landscape aesthetics) to multiple uses including ecological and biological preservation (highlighting the minimization of ecological vulnerability) poses an urgent challenge for the planning and management of urban forest parks worldwide. In this study, a geographic information system (GIS) combined with Analytic Hierarchy Process (AHP) approach is explored to objectively quantify and integrate the visual sensitivity and ecological sensitivity of the Tianzhu Mountain National Forest Park, Fujian province, South China. The visual sensitivity is evaluated based on three dimensions: slope, distance and visibility. And the ecological sensitivity is measured with regard to elevation, slope, aspect, forest type, and distance to river. By overlapping of the visual sensitivity and ecological sensitivity maps for the study site, three functional zones are pinpointed, including nature restoration/conservation zone (with high ecological sensitivity and low visual sensitivity or invisible), level 1 development zone (with high visual sensitivity and low/very low ecological sensitivity), as well as level 2 development zone (with moderate visual and ecological sensitivities). Compared with the existing long-term development plan, obvious discrepancies can be identified. Our results can provide scientific decision support for multiple use planning of the study site, and also demonstrate the efficacy of the proposed methodology, which is comprehensive yet convenient, for the sustainable planning of urban and peri-urban forest parks.
C1 [Zheng, Yu; Lan, Siren; Chen, Xiaoyan; Dong, Jianwen] Fujian Agr & Forestry Univ, Coll Arts & Landscape Architecture, Fuzhou, Fujian, Peoples R China.
   [Zheng, Yu; Xu, Xixi; Chen, Yannan] Minjiang Univ, Dept Geog Sci, Fuzhou, Fujian, Peoples R China.
   [Chen, Wendy Y.] Univ Hong Kong, Dept Geog, Hong Kong, Peoples R China.
C3 Fujian Agriculture & Forestry University; Minjiang University;
   University of Hong Kong
RP Dong, JW (corresponding author), 15 Shangxiadian Rd, Fuzhou 350002, Fujian, Peoples R China.
EM fjdjw@126.com
RI DONG, Jian-Wen/G-1559-2011; Chen, Yan/D-4884-2009; Chen,
   WY/HKN-5931-2023
FU State Forestry Administration of China [201404315, 20140430109]
FX The authors gratefully acknowledge two research funds from the State
   Forestry Administration of China: Forestry Industry Research Special
   Funds for Public Welfare Projects [Project No. 201404315] and the
   Analysis of Regional Characteristics and the Integration of the
   Construction Technology for Urban and Rural Forest Landscape in the
   Economic Zone of the West Coast of the Taiwan Straits [Project No.
   20140430109]. We thank all those who provided helpful discussion and
   assistance for this study. We are also grateful to the anonymous
   reviewers for their helpful comments and suggestions.
CR [Anonymous], 2010, THESIS
   Arnberger A, 2017, URBAN FOR URBAN GREE, V27, P235, DOI 10.1016/j.ufug.2017.08.004
   Arnberger A, 2010, URBAN FOR URBAN GREE, V9, P215, DOI 10.1016/j.ufug.2010.01.002
   Bell S., 2008, DESIGNING SUSTAINABL, P356
   Botzat A, 2016, GLOBAL ENVIRON CHANG, V39, P220, DOI 10.1016/j.gloenvcha.2016.04.008
   Carvalho-Ribeiro SM, 2010, LAND USE POLICY, V27, P1111, DOI 10.1016/j.landusepol.2010.02.008
   Carvalho-Ribeiro SM, 2011, FOREST POLICY ECON, V13, P46, DOI 10.1016/j.forpol.2010.09.003
   Chen BX, 2018, URBAN FOR URBAN GREE, V29, P68, DOI 10.1016/j.ufug.2017.11.005
   Chen XinFeng Chen XinFeng, 2001, Scientia Silvae Sinicae, V37, P122
   Chiang YC, 2014, LANDSCAPE URBAN PLAN, V125, P166, DOI 10.1016/j.landurbplan.2014.02.004
   Daniel T.C., 1983, Human behavior and environment, P39, DOI DOI 10.1007/978-1-4613-3539-93
   Edwards D, 2012, FOREST POLICY ECON, V19, P12, DOI 10.1016/j.forpol.2011.07.006
   Estevo CA, 2017, URBAN FOR URBAN GREE, V27, P84, DOI 10.1016/j.ufug.2017.06.013
   Gobster PH, 2007, LANDSCAPE ECOL, V22, P959, DOI 10.1007/s10980-007-9110-x
   Gundersen V, 2017, LANDSCAPE URBAN PLAN, V158, P12, DOI 10.1016/j.landurbplan.2016.09.020
   Haara A, 2017, LANDSCAPE URBAN PLAN, V163, P56, DOI 10.1016/j.landurbplan.2017.03.002
   Hamadouche MA, 2014, ARAB J GEOSCI, V7, P419, DOI 10.1007/s12517-012-0817-x
   HAMMITT WE, 1994, LANDSCAPE URBAN PLAN, V29, P171, DOI 10.1016/0169-2046(94)90026-4
   Han J, 2015, FOREST ECOL MANAG, V356, P31, DOI 10.1016/j.foreco.2015.06.016
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Huang S., 2014, GUANGDONG SCI TECHNO, V14, P167
   Huang SCL, 2014, URBAN FOR URBAN GREE, V13, P839, DOI 10.1016/j.ufug.2014.10.002
   Jenkins J, 2018, GEOFORUM, V95, P35, DOI 10.1016/j.geoforum.2018.07.003
   Johnson DW, 2000, J HYDROL, V235, P183, DOI 10.1016/S0022-1694(00)00266-3
   Kliskey AD, 1998, ENVIRON MANAGE, V22, P79, DOI 10.1007/s002679900085
   La Riccia Luigi., 2017, Landscape Planning at the Local Level
   Ladányi Z, 2015, ECOL INDIC, V58, P8, DOI 10.1016/j.ecolind.2015.05.024
   Lafortezza R, 2008, J ENVIRON MANAGE, V89, P257, DOI 10.1016/j.jenvman.2007.01.063
   Leonard PB, 2014, LANDSCAPE URBAN PLAN, V125, P156, DOI 10.1016/j.landurbplan.2014.02.016
   Li F, 2005, LANDSCAPE URBAN PLAN, V72, P325, DOI 10.1016/j.landurbplan.2004.04.002
   Li XP, 2019, LANDSCAPE URBAN PLAN, V181, P157, DOI 10.1016/j.landurbplan.2018.09.018
   Lin T., 2001, J NANPING TEACH COLL, V20, P34
   Lin Z, 2014, ADV INTELL SYST, V254, P353, DOI 10.1007/978-3-319-03449-2_32
   Lupp G, 2013, J NAT CONSERV, V21, P10, DOI 10.1016/j.jnc.2012.08.003
   Mani JK, 2018, GEOTECH ENVIRON, V21, P377, DOI 10.1007/978-3-319-78711-4_19
   Mann D, 2019, ECOL ENG, V127, P383, DOI 10.1016/j.ecoleng.2018.12.020
   Mao Z, 2014, ECOL MODEL, V273, P11, DOI 10.1016/j.ecolmodel.2013.10.017
   del Castillo EM, 2015, APPL GEOGR, V62, P247, DOI 10.1016/j.apgeog.2015.05.002
   Maruthaveeran S, 2014, URBAN FOR URBAN GREE, V13, P1, DOI 10.1016/j.ufug.2013.11.006
   McGlade J, 2008, ENVIRON POLICY, V48, P113
   Miller-Rushing AJ, 2017, BIOL CONSERV, V210, P101, DOI 10.1016/j.biocon.2016.05.022
   Mohamad NHN, 2013, PROCD SOC BEHV, V105, P823, DOI 10.1016/j.sbspro.2013.11.085
   Ode A, 2008, LANDSCAPE RES, V33, P89, DOI 10.1080/01426390701773854
   Ordóñez C, 2012, URBAN ECOSYST, V15, P863, DOI 10.1007/s11252-012-0235-6
   Othman N, 2015, PROCD SOC BEHV, V202, P330, DOI 10.1016/j.sbspro.2015.08.237
   Parsons R, 2002, LANDSCAPE URBAN PLAN, V60, P43, DOI 10.1016/S0169-2046(02)00051-8
   Prather HM, 2018, URBAN FOR URBAN GREE, V32, P133, DOI 10.1016/j.ufug.2018.04.012
   [覃婕 QIN Jie], 2009, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V18, P453
   Rogge E, 2008, LANDSCAPE URBAN PLAN, V87, P76, DOI 10.1016/j.landurbplan.2008.04.008
   Saaty T.L., 2008, Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World
   Sahraoui Y, 2018, T GIS, V22, P1310, DOI 10.1111/tgis.12457
   Scarfó F, 2013, LANDSC ECOL ENG, V9, P1, DOI 10.1007/s11355-011-0168-x
   STEINITZ C, 1990, LANDSCAPE URBAN PLAN, V19, P213, DOI 10.1016/0169-2046(90)90023-U
   Store R, 2015, LANDSCAPE URBAN PLAN, V144, P128, DOI 10.1016/j.landurbplan.2015.06.009
   Tahvanainen L, 2001, LANDSCAPE URBAN PLAN, V53, P53, DOI 10.1016/S0169-2046(00)00137-7
   Tatum K, 2017, J RURAL STUD, V56, P167, DOI 10.1016/j.jrurstud.2017.09.013
   Tomao A, 2018, ECOL INDIC, V90, P594, DOI 10.1016/j.ecolind.2018.03.051
   Turner M.G., 1991, QUANTITATIVE METHODS
   Van den Berg AE, 2006, LANDSCAPE URBAN PLAN, V78, P362, DOI 10.1016/j.landurbplan.2005.11.006
   Wang GY, 2012, AMBIO, V41, P247, DOI 10.1007/s13280-011-0194-9
   Wang RH, 2016, URBAN FOR URBAN GREE, V20, P210, DOI 10.1016/j.ufug.2016.09.005
   Wang YC, 2016, J FOREST RES-JPN, V21, P261, DOI 10.1007/s10310-016-0543-4
   Wang Z., 2009, FORET BY PRODUCT SPE, V98, P83
   Wu X., 2016, FORESTRY EC, V9, P38
   Yang MY, 2014, J MT SCI-ENGL, V11, P142, DOI 10.1007/s11629-012-2459-6
   Yoshimura N, 2017, ECOSYST SERV, V24, P68, DOI 10.1016/j.ecoser.2017.02.009
   Zhai YJ, 2018, URBAN FOR URBAN GREE, V35, P32, DOI 10.1016/j.ufug.2018.07.014
   Zhang JT, 2012, ECOL INDIC, V18, P365, DOI 10.1016/j.ecolind.2011.12.001
   Zhong F., 2009, THESIS
NR 69
TC 48
Z9 55
U1 15
U2 227
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD MAY
PY 2019
VL 41
BP 139
EP 149
DI 10.1016/j.ufug.2019.03.010
PG 11
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA HY5TP
UT WOS:000468191300016
DA 2025-04-22
ER

PT J
AU Veerbeek, W
   Zevenbergen, C
AF Veerbeek, W.
   Zevenbergen, C.
TI Deconstructing urban flood damages: increasing the expressiveness of
   flood damage models combining a high level of detail with a broad
   attribute set
SO JOURNAL OF FLOOD RISK MANAGEMENT
LA English
DT Article
DE Dordrecht; Flood damage assessment; resilience; urban flood management
ID CLIMATE-CHANGE
AB Climate change increases uncertainty regarding the frequency and severity of flood events, posing new challenges for urban areas often located along major rivers. Current flood damage assessment methods often ignore the level of differentiation found in the urban fabric; their level of detail is too coarse and limits possibilities of tailor-made solutions based on refined insights on the severity, distribution and horizon of expected impacts. As part of the Urban Flood Management project for the city of Dordrecht, the Netherlands, a flood damage assessment model was developed using a substantially higher level of detail than used in current practice. The model incorporates methods of analysis linking the spatial distribution of flood damages, flood damage composition, age of the building stock and a range of other attributes to gain a comprehensive view on the financial consequences of urban flooding. The output provides a foundation for integration of flood proofing schemes into urban development and/or redevelopment.
C1 [Veerbeek, W.; Zevenbergen, C.] Dura Vermeer Business Dev, NL-2130 KB Hoofddorp, Netherlands.
   [Zevenbergen, C.] UNESCO IHE Inst Water Educ, Dept Urban Water & Sanitat, Delft, Netherlands.
   [Zevenbergen, C.] Delft Univ Technol, Fac Civil Engn & Geosci, Dept Hydraul Engn, Delft, Netherlands.
C3 IHE Delft Institute for Water Education; Delft University of Technology
RP Veerbeek, W (corresponding author), Dura Vermeer Business Dev, POB 3098, NL-2130 KB Hoofddorp, Netherlands.
EM w.veerbeek@duravermeerdiensten.nl
FU LMW; RIMAX-BMBF
FX This project has been made possible with the help of a variety of
   partners. The UFM project comprises three complementary consortia of
   public and private, local and national stakeholders. For the the
   Netherlands, these are the city of Dordrecht, Waterboard Hollandse
   Delta, Ministery of Transport, Public Works and Water Management
   Directorate-General of Public Works and Water Management (RWS) and
   Directorate-General Water, Province Zuid-Holland, Dura Vermeer, WL Delft
   Hydraulics, Progrez and UNESCO-IHE. UFM is supported and cofunded by LMW
   (NL) and RIMAX-BMBF (DE).
CR AAMODT A, 1994, P IEEE TAI 94 INT C
   Angel S., 2005, DYNAMICS URBAN EXPAN
   [Anonymous], 1991, The damage-reducing effects of flood warnings
   [Anonymous], STRAT RES AG EUR CON
   [Anonymous], DIFF APPR WAT WAT MA
   [Anonymous], 72005 EEA
   Booysen HJ, 1999, WATER SA, V25, P41
   BOWKER P, 2007, SC04006 CIRIA
   Brand S., 1994, How Buildings Learn: What Happens After Theyre Built, P12
   Büchele B, 2006, NAT HAZARD EARTH SYS, V6, P485
   De Bruijn KM, 2001, FORECASTING AND MITIGATION OF WATER-RELATED DISASTERS, THEME C, PROCEEDINGS, P450
   DEBRUIJN KM, 2005, THESIS TU U DELFT DE
   Gersonius B, 2008, WIT TRANS ECOL ENVIR, V118, P247, DOI 10.2495/FRIAR080241
   Gersonius B, 2008, ADAPTIVE AND INTEGRATED WATER MANAGEMENT: COPING WITH COMPLEXITY AND UNCERTAINTY, P263, DOI 10.1007/978-3-540-75941-6_14
   Gersonius Berry., 2008, Can resilience support integrated approaches to urban drainage management?
   Grigg N.S., 1975, Water Resources Bulletin, V11, P379
   JOHN ETM, 2001, J HAZARD MATER, V61, P281
   JUNFENG G, 2002, CHIN J OCEANOL LIMN, V21, P1
   Kabat P, 2005, NATURE, V438, P283, DOI 10.1038/438283a
   KOK M, 2002, STANDARD METHOD 2002
   Levesque H. J., 1987, Computational Intelligence, V3, P78, DOI 10.1111/j.1467-8640.1987.tb00176.x
   Makkonen L, 2008, COMMUN STAT-THEOR M, V37, P460, DOI 10.1080/03610920701653094
   Merz B, 2004, NAT HAZARD EARTH SYS, V4, P153, DOI 10.5194/nhess-4-153-2004
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mitchell J.K., 1999, GEOJOURNAL, V49, P137, DOI DOI 10.1023/A:1007024703844
   PENNINGROWSELL E, 2003, BENEFITS FLOOD COAST, P150
   Roos W., 2003, DC12339
   SHEPPARD S, 2006, INFILL VERSUS OUTSPI
   SMITH DI, 1994, WATER SA, V20, P231
   STONE K, 2008, 2 URB FLOOD MAN PROJ
   Thieken AH, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004177
   *UM BAD WURTT, 2005, HOCHW BAD WURTT
   Wind HG, 1999, WATER RESOUR RES, V35, P3459, DOI 10.1029/1999WR900192
   Zevenbergen C, 2008, WIT TRANS ECOL ENVIR, V118, P221, DOI 10.2495/FRIAR080221
NR 34
TC 21
Z9 22
U1 3
U2 23
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1753-318X
J9 J FLOOD RISK MANAG
JI J. Flood Risk Manag.
PD MAR
PY 2009
VL 2
IS 1
BP 45
EP 57
DI 10.1111/j.1753-318X.2009.01021.x
PG 13
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 674YB
UT WOS:000283786400006
DA 2025-04-22
ER

PT J
AU Abramson, DB
AF Abramson, Daniel Benjamin
TI Periurbanization and the politics of development-as-city-building in
   China
SO CITIES
LA English
DT Article
DE Adaptation; Resilience; Alternative development; Chengdu; Socialist New
   Countryside Construction; New Rural Reconstruction
ID URBAN-GROWTH; CHENGDU; URBANIZATION
AB China stands out among recently urbanized societies for the planned physicality of its rural-urban transformation the extensive marshaling of labor, capital and material resources to remake its cities and to transform rural land and communities into new, formal urban space. In China, the "rural" and the "urban" are distinguished in deeply dichotomous institutions of government, and peri-urbanization, defined as the disorderly spaces, processes and conditions of "becoming urban", would appear to be a temporary stage of transition between an old rural socio-spatial order to a new urban socio-spatial order. The actual contested politics of development as-urbanization suggests otherwise, however, both on a national scale and on a community scale. The definition of "development" itself is at stake, and emerges unpredictably from peri-urban experience. A view of periurbanization as a process of socio-ecological adaptation is better suited to societies that have evolved in long settled, densely populated anthropogenic agrarian landscapes. (C) 2015 Published by Elsevier Ltd.
C1 [Abramson, Daniel Benjamin] Univ Washington, Box 355740, Seattle, WA 98195 USA.
C3 University of Washington; University of Washington Seattle
RP Abramson, DB (corresponding author), Univ Washington, Box 355740, Seattle, WA 98195 USA.
EM abramson@uw.edu
FU University of Washington Jackson School of International Studies China
   Studies Faculty Research Grants
FX Field work in Chengdu reflected in this article was funded in part by
   University of Washington Jackson School of International Studies China
   Studies Faculty Research Grants, 2012 and 2013, and carried out or
   advised by Daniel Abramson, Stevan Harrell, Jiawen HU, Su-Min Kim, Li
   Wei, Jennifer Pang, Jennifer Tippins, and Wang Yue. The author is also
   grateful to John Friedmann, Rohit Mujumdar, Michael Leaf, and other
   scholars and institutional supporters and participants of the University
   of British Columbia Workshop on The Politics of Periurbanization in
   Asia: Comparative Perspectives, 7-8 June 2013, for the opportunity to
   share an initial draft of this paper, and for many insights and comments
   that helped to improve it.
CR Abramson D, 2011, PAC AFF, V84, P495, DOI 10.5509/2011843495
   Ahlers AnnaL., 2010, Journal of Current Chinese Affairs, V38, P35, DOI [DOI 10.1177/186810260903800403, 10.1177/186810260903800403]
   [Anonymous], 2012, PLANET OF CITIES
   [Anonymous], ZHONGGUO NONGSHI
   [Anonymous], 2005, WORLD BANK IPEA URB
   Au CC, 2006, REV ECON STUD, V73, P549, DOI 10.1111/j.1467-937X.2006.00387.x
   Buckingham W. S., 2014, THESIS U WASHINGTON
   Campanella T. J, 2008, CONTRETE DRAGON CHIN
   Chenery Hollis., 1975, Patterns of Development, 1950-1983
   Cumming GS, 2014, NATURE, V515, P50, DOI 10.1038/nature13945
   Friedmann J., 1987, Planning in the public domain: From knowledge to action
   Giineralp B., 2010, APPL GEOGR, V32, P40
   Guang Lei., 2010, One Country, Two Societies, P311
   Hale MA, 2013, DIALECT ANTHROPOL, V37, P51, DOI 10.1007/s10624-013-9294-1
   Heilmann Sebastian., 2011, MAOS INVISIBLE HAND, P1, DOI DOI 10.2307/J.CTT1SQ5TC6.7
   Hsing Y., 2010, The Great Urban Transformation: Policies of Land and Property in China
   Hu J., 2015, THESIS U WASHINGTON
   Huang P. C., 1985, PEASANT EC SOCIAL CH, P1
   Kim SuMin., 2014, Shunning the Authority: Symbolic Purity and Autonomy in Consuming Noncertified Organic Foods in Chengdu, China
   LeGates R, 2014, J URBAN AFF, V36, P334, DOI 10.1111/juaf.12106
   LeGates RT, 2014, CITIES, V41, P171, DOI 10.1016/j.cities.2014.01.007
   Li DY, 2007, FRONT HIST CHINA, V2, P445, DOI 10.1007/s11462-007-0023-7
   Li SM, 2014, HABITAT INT, V41, P156, DOI 10.1016/j.habitatint.2013.07.004
   Lin JY, 2011, FRONT ECON CHINA, V6, P1, DOI 10.1007/s11459-011-0119-3
   Liu J., 2004, THEOR FRONT, V10, P20
   Liu JG, 2010, SCIENCE, V328, P50, DOI 10.1126/science.1186234
   Looney K. E., 2012, 2012 ANN M AM POL SC
   Lora-Wainwright A, 2014, POSITIONS-ASIA CRIT, V22, P661, DOI 10.1215/10679847-2685413
   Ma LJC, 2005, POLIT GEOGR, V24, P477, DOI 10.1016/j.polgeo.2004.10.005
   May S, 2011, STUD URBAN SOC CH, P98
   McKinsey Global Institute, 2009, PREP CHIN URB BILL
   Moore StevenD., 1994, Poststructuralism and the New Testament: Derrida and Foucault at the Foot of the Cross
   Myers D, 2009, ANN AM ACAD POLIT SS, V626, P91, DOI 10.1177/0002716209344838
   National Development and Reform Commission, 2014, GUOJ XINX CHENGZH GU
   Pei Minxin., 2006, China's Trapped Transition
   Po L, 2008, URBAN STUD, V45, P1603, DOI 10.1177/0042098008091493
   Quigley J.M., 2009, Urbanization and growth, P115
   Schneider A, 2005, ENVIRON PLANN B, V32, P323, DOI 10.1068/b31142
   SCHUBERT G, 2012, 3 PROVINCES CHINA J, V67, P67
   Simon D, 2008, ANNU REV ENV RESOUR, V33, P167, DOI 10.1146/annurev.environ.33.021407.093240
   SKINNER GW, 1971, COMP STUD SOC HIST, V13, P270, DOI 10.1017/S0010417500006289
   Skinner W.G., 1977, CITY LATE IMPERIAL C, P275
   Smith NR, 2014, CITIES, V41, P209, DOI 10.1016/j.cities.2014.01.006
   Syrquin Moises., 1989, Patterns of Development, 1950 to 1983
   Tippins JenniferLaura., 2013, Planning for Resilience: A Proposed Landscape Evaluation for Redevelopment PlanningIn the linpan Landscape
   Webster D, 2014, J URBAN AFF, V36, P315, DOI 10.1111/juaf.12104
   Webster D, 2011, PAC AFF, V84, P631, DOI 10.5509/2011844631
   Wen TJ, 2007, CHINESE SOC ANTHROP, V39, P10, DOI 10.2753/CSA0009-4625390401
   Whiting S, 2011, URBAN STUD, V48, P569, DOI 10.1177/0042098010390242
   Willmott W.E., 1989, The Australian Journal of Chinese Affairs, V22, P143, DOI [10.2307/2158849, DOI 10.2307/2158849]
   Wong W. W. Y., 2010, THESIS MIT CAMBRIDGE
   World Bank, 2013, CHINA 2030: BUILDING A MODERN, HARMONIOUS, AND CREATIVE SOCIETY, P1, DOI 10.1596/978-0-8213-9545-5
   Yan HR, 2003, AM ETHNOL, V30, P578
   Yu KJ, 2011, J ENVIRON PLANN MAN, V54, P1209, DOI 10.1080/09640568.2011.564488
   Yumin YE, 2013, COORDINATING URBAN AND RURAL DEVELOPMENT IN CHINA: LEARNING FROM CHENGDU, P1
   Zhang SM, 2014, CITIES, V41, P179, DOI 10.1016/j.cities.2014.02.010
   Zhao M, 2009, ANN REGIONAL SCI, V43, P907, DOI 10.1007/s00168-008-0240-0
NR 57
TC 31
Z9 37
U1 2
U2 63
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD APR
PY 2016
VL 53
BP 156
EP 162
DI 10.1016/j.cities.2015.11.002
PG 7
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA DL4TJ
UT WOS:000375629800019
DA 2025-04-22
ER

PT J
AU Turner, VK
   Kaplan, DH
AF Turner, V. Kelly
   Kaplan, David H.
TI Geographic perspectives on urban sustainability: past, current, and
   future research trajectories
SO URBAN GEOGRAPHY
LA English
DT Article
DE Urbanization science; resilience; urban planning; sustainability
   science; transportation; urban studies
ID LAND-CHANGE SCIENCE; POLITICAL ECOLOGY; GLOBAL CHANGE; SYSTEMS;
   URBANIZATION; ENVIRONMENT; CHALLENGES; EVOLUTION; CITIES; TIME
AB The 21st century has been called the "century of the city" and compounded concerns that current development pathways were not sustainable. Calls for scholarship on urban sustainability among geographers cites strengths in the human-environment and urban subfields that positioned the discipline to make unique contributions to critical research needs. This special issue reflects on the contributions that geographers have made to urban sustainability scholarship. We observe that that integration across human-environment and urban subfields reflects broader bifurcations between social theory and spatial science traditions in geography. Piggy-backing on the rise of sustainability science, the emergence of urbanization science compels geographers to reflect upon the ways in which we are positioned to make unique contributions to those fields. We argue that those contributions should embrace systems thinking, empirically connect social constructs to biophysical patterns and processes, and use the city as a laboratory to generate new theories.
C1 [Turner, V. Kelly; Kaplan, David H.] Kent State Univ, Dept Geog, 413 McGilvrey Hall, Kent, OH 44240 USA.
C3 University System of Ohio; Kent State University; Kent State University
   Kent; Kent State University Salem
RP Turner, VK (corresponding author), Kent State Univ, Dept Geog, 413 McGilvrey Hall, Kent, OH 44240 USA.
EM vturner5@kent.edu
CR Abler Ronald., 1971, Spatial Organization: The Geographer's View of the World
   Al-Hindi KF, 2001, URBAN GEOGR, V22, P189, DOI 10.2747/0272-3638.22.3.189
   Alberti M., 2017, Frontiers in Built Environment, V3, P1, DOI DOI 10.3389/FBUIL.2017.00006
   Arendt RandallG., 1996, Conservation Design for Subdivisions: A Practical Guide to Creating Open Space Networks
   Ashmore P, 2017, CAN GEOGR-GEOGR CAN, V61, P102, DOI 10.1111/cag.12318
   Baerwald TJ, 2010, ANN ASSOC AM GEOGR, V100, P493, DOI 10.1080/00045608.2010.485443
   BERRY BJL, 1958, ANN ASSOC AM GEOGR, V48, P83, DOI 10.1111/j.1467-8306.1958.tb01559.x
   Berry Brian JL, 1974, URBAN ENV PLANNING P
   Bettencourt LMA, 2011, P NATL ACAD SCI USA, V108, P19540, DOI 10.1073/pnas.1102712108
   Blaikie P, 2012, GEOFORUM, V43, P231, DOI 10.1016/j.geoforum.2011.08.010
   Braun B, 2005, PROG HUM GEOG, V29, P635, DOI 10.1191/0309132505ph574pr
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Clark WC, 2003, P NATL ACAD SCI USA, V100, P8059, DOI 10.1073/pnas.1231333100
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Cooke J, 2010, URBAN GEOGR, V31, P348, DOI 10.2747/0272-3638.31.3.348
   Crutzen PJ, 2002, NATURE, V415, P23, DOI 10.1038/415023a
   Dear M., 2002, City Community, V1, P5, DOI DOI 10.1111/1540-6040.00002
   Detwyler T.R., 1972, URBANIZATION ENV PHY
   Douglas I., 1983, URBAN ENV
   Douglas Ian., 1981, Progress in Physical Geography, V5, P315, DOI [10.1177/030913338100500301, DOI 10.1177/030913338100500301]
   Duany A., 2000, Suburban Nation. The Rise of Sprawl and the Decline of the American Dream
   Ellis C., 2002, J URBAN DES, V7, P261, DOI DOI 10.1080/1357480022000039330
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Forman RTT, 2014, URBAN ECOLOGY: SCIENCE OF CITIES, P1
   Frank J.D., 2006, RECONSTRUCTING U WOR
   Georgescu Matei, 2012, P NATL ACAD SCI USA, V111, P2909
   GETIS A, 1966, J GEOGR, V65, P220, DOI 10.1080/00221346608982415
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hanson S, 1999, ANN ASSOC AM GEOGR, V89, P133, DOI 10.1111/0004-5608.00135
   Harvey David, 1973, SOCIAL JUSTICE CITY, DOI DOI 10.1017/S0047279400001094
   Hise Greg., 2002, From Chicago to L.A, P95
   Holloway S. R., 2014, Urban geography, V3rd
   Hutchison Ray., 2010, ENCY URBAN STUDIES
   Kates RW, 2011, P NATL ACAD SCI USA, V108, P19449, DOI 10.1073/pnas.1116097108
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Keil R, 2003, URBAN GEOGR, V24, P723, DOI 10.2747/0272-3638.24.8.723
   Keil R, 2005, URBAN GEOGR, V26, P640, DOI 10.2747/0272-3638.26.7.640
   Lake RW, 2000, URBAN GEOGR, V21, P1
   Ley D., 1983, A Social Geography of the City
   Longley PA, 2002, PROG HUM GEOG, V26, P231, DOI 10.1191/0309132502ph366pr
   Lubchenco J, 1998, SCIENCE, V279, P491, DOI 10.1126/science.279.5350.491
   Magliocca NR, 2018, GLOBAL ENVIRON CHANG, V50, P1, DOI 10.1016/j.gloenvcha.2018.03.003
   Martinez-Fernandez C, 2012, INT J URBAN REGIONAL, V36, P213, DOI 10.1111/j.1468-2427.2011.01092.x
   MCHARG I L, 1969, P197
   Meyfroidt P, 2016, J LAND USE SCI, V11, P501, DOI 10.1080/1747423X.2015.1117530
   Miller TR, 2008, ECOL SOC, V13
   Mooney HA, 2013, P NATL ACAD SCI USA, V110, P3665, DOI 10.1073/pnas.1107484110
   Morgan Grove J., 2015, The Baltimore School of Urban Ecology. Space, Scale
   Munroe DK, 2014, GEOFORUM, V52, P12, DOI 10.1016/j.geoforum.2013.12.005
   Myers GA, 2008, URBAN GEOGR, V29, P264, DOI 10.2747/0272-3638.29.3.264
   National Research Council, 1999, Our Common Journey: A Transition toward Sustainability
   Nicholas Fyfe, 2005, URBAN GEOGRAPHY READ
   Nicholls WJ, 2011, INT J URBAN REGIONAL, V35, P189, DOI 10.1111/j.1468-2427.2010.00978.x
   Park RobertE., 1984, The City: Suggestions for the Study of Human Nature in the Urban Environment
   Petts J, 2008, GEOFORUM, V39, P593, DOI 10.1016/j.geoforum.2006.02.008
   Platt R.H., 2006, HUMANE METROPOLIS PE
   PRED AR, 1964, ANN ASSOC AM GEOGR, V54, P165, DOI 10.1111/j.1467-8306.1964.tb00483.x
   Quastel N, 2012, URBAN GEOGR, V33, P1055, DOI 10.2747/0272-3638.33.7.1055
   Quastel N, 2009, URBAN GEOGR, V30, P694, DOI 10.2747/0272-3638.30.7.694
   Ramalho CE, 2012, TRENDS ECOL EVOL, V27, P179, DOI 10.1016/j.tree.2011.10.008
   Ranganathan M, 2015, URBAN GEOGR, V36, P403, DOI 10.1080/02723638.2015.1005414
   Reid Ewing, 2001, TRANSPORT RES REC, V1780, P97
   Rindfuss RR, 2004, P NATL ACAD SCI USA, V101, P13976, DOI 10.1073/pnas.0401545101
   Robbins Paul., 2007, Lawn People: How Grasses, Weeds, and Chemicals Make Us Who We Are
   Seto K.C., 2014, Rethinking global land use in an urban era
   Seto KC, 2017, P NATL ACAD SCI USA, V114, P8935, DOI 10.1073/pnas.1606037114
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109
   Seto KC, 2010, ANNU REV ENV RESOUR, V35, P167, DOI 10.1146/annurev-environ-100809-125336
   Shearmur R, 2008, URBAN GEOGR, V29, P167, DOI 10.2747/0272-3638.29.2.167
   Skole DL, 2004, ANN ASSOC AM GEOGR, V94, P739
   Solecki W, 2013, ENVIRONMENT, V55, P12, DOI 10.1080/00139157.2013.748387
   Stokes EC, 2016, J LAND USE SCI, V11, P698, DOI 10.1080/1747423X.2016.1241316
   Swyngedouw Erik, 2004, URBAN POLITICAL ECOL
   Talen E, 2002, HOUS POLICY DEBATE, V13, P165, DOI 10.1080/10511482.2002.9521438
   Till KE, 2001, URBAN GEOGR, V22, P220, DOI 10.2747/0272-3638.22.3.220
   Trudeau D, 2016, URBAN GEOGR, V37, P458, DOI 10.1080/02723638.2015.1069029
   Trudeau D, 2011, URBAN GEOGR, V32, P424, DOI 10.2747/0272-3638.32.3.424
   Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104
   Turner BL, 2008, ANNU REV ENV RESOUR, V33, P295, DOI 10.1146/annurev.environ.33.022207.104943
   Turner BL, 2002, ANN ASSOC AM GEOGR, V92, P52, DOI 10.1111/1467-8306.00279
   Walker PA, 2005, PROG HUM GEOG, V29, P73, DOI 10.1191/0309132505ph530pr
   Wehrwein GS, 1942, ECON GEOGR, V18, P217, DOI 10.2307/141123
   Wentz Elizabeth A., 2011, UGEC VIEWPOINTS, P15
   WHEELER JO, 1993, URBAN GEOGR, V14, P48, DOI 10.2747/0272-3638.14.1.48
   Wigginton NS, 2016, SCIENCE, V352, P904, DOI 10.1126/science.352.6288.904
   Wolch J, 2007, ANN ASSOC AM GEOGR, V97, P373, DOI 10.1111/j.1467-8306.2007.00543.x
   Wu C., 2011, URBAN REMOTE SENS MO, P238
   Zimmerman J, 2001, URBAN GEOGR, V22, P249, DOI 10.2747/0272-3638.22.3.249
NR 88
TC 11
Z9 12
U1 0
U2 23
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0272-3638
EI 1938-2847
J9 URBAN GEOGR
JI Urban Geogr.
PD MAR 16
PY 2019
VL 40
IS 3
SI SI
BP 267
EP 278
DI 10.1080/02723638.2018.1475545
PG 12
WC Geography; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Urban Studies
GA IN9YR
UT WOS:000479037000001
DA 2025-04-22
ER

PT J
AU Liu, HY
   Jay, M
   Chen, XW
AF Liu, Hai-Ying
   Jay, Marion
   Chen, Xianwen
TI The Role of Nature-Based Solutions for Improving Environmental Quality,
   Health and Well-Being
SO SUSTAINABILITY
LA English
DT Review
DE biodiversity; blue infrastructure; climate adaptation and mitigation;
   ecosystem services; green infrastructure; sustainable development goals;
   urban sustainability
ID CLIMATE-CHANGE ADAPTATION; URBAN GREEN SPACE; ECOSYSTEM SERVICES; CARBON
   STORAGE; AIR-QUALITY; FORESTS; CITIES; POWER; TREES; CITY
AB Nature-based solutions (NbS) have been positioned and implemented in urban areas as solutions for enhancing urban resilience in the face of a wide range of urban challenges. However, there is a lack of recommendations of optimal NbS and appropriate typologies fitting to different contexts and urban design. The analytical frameworks for NbS implementation and impact evaluation, that integrate NbS into local policy frameworks, socio-economic transition pathways, and spatial planning, remain fragmented. In this article, the NbS concept and its related terminologies are first discussed. Second, the types of NbS implemented in Europe are reviewed and their benefits over time are explored, prior to categorizing them and highlighting the key methods, criteria, and indicators to identify and assess the NbS's impacts, co-benefits, and trade-offs. The latter involved a review of the websites of 52 projects and some relevant publications funded by EU Research and Innovation programs and other relevant publications. The results show that there is a shared understanding that the NbS concept encompasses benefits of restoration and rehabilitation of ecosystems, carbon neutrality, improved environmental quality, health and well-being, and evidence for such benefits. This study also shows that most NbS-related projects and activities in Europe use hybrid approaches, with NbS typically developed, tested, or implemented to target specific types of environmental-social-economic challenges. The results of this study indicate that NbS as a holistic concept would be beneficial in the context of climate action and sustainable solutions to enhance ecosystem resilience and adaptive capacity within cities. As such, this article provides a snapshot of the role of NbS in urban sustainability development, a guide to the state-of-the-art, and key messages and recommendations of this rapidly emerging and evolving field.
C1 [Liu, Hai-Ying] NILU Norwegian Inst Air Res, Dept Environm Impacts & Sustainabil, POB 100, N-2027 Kjeller, Norway.
   [Jay, Marion] Adelphi Res gGmbH, Alt Moabit 91, D-10559 Berlin, Germany.
   [Chen, Xianwen] NINA Norwegian Inst Nat Res, Oslo Dept, Sognsveien 68, N-0855 Oslo, Norway.
   [Chen, Xianwen] Inland Norway Univ Appl Sci, Inland Sch Business & Social Sci, Dept Business Adm, POB 400, N-2418 Elverum, Norway.
C3 NILU; Norwegian Institute Nature Research; Inland Norway University of
   Applied Sciences
RP Liu, HY (corresponding author), NILU Norwegian Inst Air Res, Dept Environm Impacts & Sustainabil, POB 100, N-2027 Kjeller, Norway.
EM hyl@nilu.no; jay@adelphi.de; xianwen.chen@gmail.com
RI Jay, Marion/KHW-0423-2024; Liu, Hai-Ying/P-5557-2014
OI Liu, Hai-Ying/0000-0001-8667-3465; Marion, Jay/0000-0003-1653-5096;
   Chen, Xianwen/0000-0001-9262-2568
FU NILU-Norwegian Institute for Air Research; NILU-NIVA SIS project on
   urban sustainable development; EEA ETC/CME task on urban environmental
   sustainability; ETC/ATNI task on urban environmental sustainability;
   NILU internal project on nature-based solutions for improving
   environmental quality, health, and well-being
FX Open-access publication was funded by NILU-Norwegian Institute for Air
   Research. Liu received funding from the NILU-NIVA SIS project on urban
   sustainable development, EEA ETC/CME and ETC/ATNI tasks on urban
   environmental sustainability, and NILU internal project on nature-based
   solutions for improving environmental quality, health, and well-being.
   We would like to thank the anonymous referees for their very valuable
   comments. Special thanks to Paul D. Hamer, at the Urban Environment and
   Industry Department (NILU), for helping us with the language. Any
   remaining errors are the responsibility of the authors.
CR Aboelata A, 2021, ENERGY, V219, DOI 10.1016/j.energy.2020.119514
   Akbari H, 2002, ENVIRON POLLUT, V116, pS119, DOI 10.1016/S0269-7491(01)00264-0
   [Anonymous], 2021, NATURE BASED SOLUTIO
   [Anonymous], 2013, Green Infrastructure (GI) - Enhancing Europe's Natural Capital, p249 final
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on 'Nature-based solutions and re-naturing cities
   [Anonymous], 2012, IUCN PROGR 2013 2016
   [Anonymous], 2020, Nature hires: how nature-based solutions can power a green jobs recovery
   Assembly U. G., 2015, TRANSF OUR WORLD 203
   Baig S., 2015, ECOSYSTEM BASED ADAP, P48
   Balian E, 2014, OUTP STRAT FOR WORKS, P45
   Baró F, 2015, ECOL INDIC, V55, P146, DOI 10.1016/j.ecolind.2015.03.013
   Baró F, 2014, AMBIO, V43, P466, DOI 10.1007/s13280-014-0507-x
   Barton DN., 2015, MAT METHODS APPENDIX
   BBVA, URB REP EUR URB TREN
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Bergen SD, 2001, ECOL ENG, V18, P201, DOI 10.1016/S0925-8574(01)00078-7
   Biswas A.K., 2018, THE CONVERSATION
   CBD, 2016, P 13 C PART CONV BIO
   CBD, CONV BIOL DIV
   CBD, 2019, Technical Series, V9, P156
   CBD, 2021, Global biodiversity outlook 5
   Chen LX, 2011, J HYDROL, V402, P388, DOI 10.1016/j.jhydrol.2011.03.034
   Chen XW, 2019, SCI TOTAL ENVIRON, V651, P2118, DOI 10.1016/j.scitotenv.2018.09.030
   Coenen J, 2021, ENVIRON POLICY GOV, V31, P3, DOI 10.1002/eet.1901
   Cohen M, 2012, LANDSCAPE URBAN PLAN, V106, P277, DOI 10.1016/j.landurbplan.2012.03.007
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   CohenShacham E., 2016, Nature-based Solutions to address global societal challenges, DOI 10.2305/iucn.ch.2016.13.en
   Colls A., 2009, Ecosystem-based adaptation: a natural response to climate change
   Copernicus, Europe's Eyes on Earth
   Davies C, 2021, ENVIRON SCI POLICY, V121, P49, DOI 10.1016/j.envsci.2021.03.018
   Davies ZG, 2011, J APPL ECOL, V48, P1125, DOI 10.1111/j.1365-2664.2011.02021.x
   Debele SE, 2019, ENVIRON RES, V179, DOI 10.1016/j.envres.2019.108799
   Deng YH, 2013, WATER RES, V47, P7162, DOI 10.1016/j.watres.2013.09.064
   Donovan GH, 2013, AM J PREV MED, V44, P139, DOI 10.1016/j.amepre.2012.09.066
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Dudley N., 2010, NATURAL SOLUTIONS PR
   DUDLEY N., 2017, Parks, V23, P10, DOI [10.2305/IUCN.CH.2017.PARKS-23-2ND.en, DOI 10.2305/IUCN.CH.2017.PARKS23-2ND.EN]
   Dumitru A., EVALUATING IMPACT NA, V1st, P2021
   EC, 2007, FP7 BRIEF GET INVOLV, P36
   EC, JOINT DECL EU CHIN P
   EC, EUR GREEN DEAL STRIV
   EC, COMM WELC AD 3730000
   ec, Nature-Based Solutions
   EC, 2019, HOR 2020 WORK PROGR, P37
   EC, The EU and nature-based solutions
   EC, CORDIS EU RES RES
   EC, LIFE PROGR
   Ec, 2020, NATURE BASED SOLUTIO
   EC, INVESTEU
   EC, HOR EUR CALLS
   EEA, CLIM AD SHAR AD INF
   EEA, FOR INF SYST EUROPE
   Eea, DAT MAPS
   EFB, WHIT PAP GREEN CIT E
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   ERC, 2017, ERC WORK PROGR 2018, P62
   EU, WISE WAT INF SYST EU
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Felson M, 2003, INT J FORECASTING, V19, P595, DOI 10.1016/S0169-2070(03)00093-1
   FEMA, 2009, ENG NAT ALT TECHN RI
   Ferreira V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020640
   Fischer EM, 2010, NAT GEOSCI, V3, P398, DOI 10.1038/NGEO866
   FMPRC, BUILD SHAR FUT ALL L
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Fritz M, 2017, THEOR PRACT URB SUST, P221, DOI 10.1007/978-3-319-56091-5_13
   Fritz M, 2017, THEOR PRACT URB SUST, P257, DOI 10.1007/978-3-319-56091-5_15
   Fritz M, 2017, THEOR PRACT URB SUST, P159, DOI 10.1007/978-3-319-56091-5_10
   Gao JX, 2020, AMBIO, V49, P1519, DOI 10.1007/s13280-019-01307-6
   Ghofrani Z., 2017, International Journal of Environment and Sustainability, V6, DOI DOI 10.24102/IJES.V6I1.728
   Giannico V, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8040339
   Grellier J, 2017, BMJ OPEN, V7, DOI 10.1136/bmjopen-2017-016188
   Guo ZW, 2000, ECOL APPL, V10, P925, DOI 10.1890/1051-0761(2000)010[0925:AAOESW]2.0.CO;2
   Hanson HI, 2020, LAND USE POLICY, V90, DOI 10.1016/j.landusepol.2019.104302
   Harris M., 2015, THE GUARDIAN
   Howes DJ, 2015, J HYDROL ENG, V20, DOI 10.1061/(ASCE)HE.1943-5584.0001162
   Hunt A., 2017, TRANSFORMING MENTAL
   IPBES, 2019, GLOBAL ASSESSMENT RE, P1144
   IUCN, 2009, P 15 SESS C PART UN
   IUCN, WCC 2016 RES 069 EN
   IUCN, SYN CONS FEEDB PROC
   IUCN, 2020, Global Standard for Nature-Based Solutions: a User-Friendly Framework for the Verification, Design and Scaling up of NbS, DOI [10.2305/IUCN.CH.2020.08.en, DOI 10.2305/IUCN.CH.2020.08.EN]
   JRC, JOINT RES CTR DAT CA
   Kim JH, 2014, J PHYS ACT HEALTH, V11, P1449, DOI 10.1123/jpah.2012-0503
   Kolb A, 2004, J VEG SCI, V15, P199, DOI 10.1111/j.1654-1103.2004.tb02255.x
   Kopsieker L., 2021, NATURE BASED SOLUTIO, P19
   Lafortezza Raffaele, 2018, Environ Res, V165, P431, DOI 10.1016/j.envres.2017.11.038
   Lennox MS, 2011, RESTOR ECOL, V19, P225, DOI 10.1111/j.1526-100X.2009.00558.x
   Li L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073876
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Manes F, 2016, ECOL INDIC, V67, P425, DOI 10.1016/j.ecolind.2016.03.009
   Marinelli J., 2006, URBAN HABITATS, V4, P1
   Martín EG, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139693
   Mears M, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8060286
   Mitsch W.J., 1996, Engineering Within Ecological Constraints, P114
   Mittermeier R.A., 2008, A Climate For Life: Meeting the Global Challenge, V1st
   Moos C, 2018, EARTH-SCI REV, V177, P497, DOI 10.1016/j.earscirev.2017.12.011
   Munang R, 2014, ENVIRONMENT, V56, P18, DOI 10.1080/00139157.2014.861676
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   Naturvation, URBAN NATURE ATLAS
   Naumann S., USE ECOSYSTEM BASED
   Naumann Sandra., 2014, Nature-based approaches for climate change mitigation and adaptation. The challenges of climate change - partnering with nature
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   Nowak DJ, 2013, ENVIRON POLLUT, V178, P229, DOI 10.1016/j.envpol.2013.03.019
   Oppla, OPPL EU REP NAT BAS
   Perez A.A., 2010, Building resilience to climate change: Ecosystem-based adaptation and lessons from the field
   Potchter O, 2006, INT J CLIMATOL, V26, P1695, DOI 10.1002/joc.1330
   Potschin M, 2016, EC FP7 Grant Agreement no. 308428
   Raymond C.M., 2017, Report prepared by the EKLIPSE Expert
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Ren H., 2003, Ecological Restoration, P122, DOI [10.3368/er.21.2.122, DOI 10.3368/ER.21.2.122]
   RewildingEurope, WHAT IS REWILDING
   Roe JJ, 2013, INT J ENV RES PUB HE, V10, P4086, DOI 10.3390/ijerph10094086
   Rossman, 2014, Storm Water Management Model Users Manual Version 5.1
   Sandifer PA, 2015, ECOSYST SERV, V12, P1, DOI 10.1016/j.ecoser.2014.12.007
   Sarabi SE, 2019, RESOURCES-BASEL, V8, DOI 10.3390/resources8030121
   Secretariat of the Convention on Biological Diversity, 2004, CBD GUID EC APPR, P50
   Seddon N., 2019, Nature-based Solutions in Nationally Determined Contributions: Synthesis and Recommendations for Enhancing Climate Ambition and Action by 2020, P48
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Shashua-Bar L, 2009, LANDSCAPE URBAN PLAN, V92, P179, DOI 10.1016/j.landurbplan.2009.04.005
   Shen D., 2021, Water Resources Management of the People's Republic of China: Framework, Reformation Implementation, P241, DOI 10.1007/978-3-030-61931-2_11
   Singh RA, 2007, J MECH SCI TECHNOL, V21, P624, DOI 10.1007/BF03026967
   Smith R. D., 2003, Using the ecosystem approach to implement the convention on biological diversity: key issues and case studies
   Soares AL, 2011, URBAN FOR URBAN GREE, V10, P69, DOI 10.1016/j.ufug.2010.12.001
   Somarakis G, 2019, THINKNATURE NATURE B, DOI DOI 10.26225/JERV-W202
   Stafford M, 2003, ENVIRON PLANN A, V35, P1459, DOI 10.1068/a35257
   Stessens P, 2017, ECOSYST SERV, V28, P328, DOI 10.1016/j.ecoser.2017.10.016
   Stovin V, 2012, J HYDROL, V414, P148, DOI 10.1016/j.jhydrol.2011.10.022
   Su Y., 2020, J CIV ENG ARCHIT, V14, P532
   Sutton-Grier AE, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020523
   Thinknature, PLATFORM NBS
   UN-Habitat, 2020, The New Urban Agenda
   UNDRR, 2021, NATURE BASED SOLUTIO, P259
   UNDRR, UN SEND FRAMEW DIS R
   UNEP, 2019, P CLIMATE ACTION SUM, P2
   UNFCC, UN FRAM CONV CLIM CH
   United Nations, 2019, 2018 REV WORLD URB P
   United Nations Development Programme (UNDP), Goal 11: Sustainable Cities and Communities
   Vasseur L, 2017, AMBIO, V46, P731, DOI 10.1007/s13280-017-0918-6
   Villeneuve PJ, 2012, ENVIRON RES, V115, P51, DOI 10.1016/j.envres.2012.03.003
   Voskamp IM, 2015, BUILD ENVIRON, V83, P159, DOI 10.1016/j.buildenv.2014.07.018
   Vymazal J, 2007, SCI TOTAL ENVIRON, V380, P48, DOI 10.1016/j.scitotenv.2006.09.014
   Wamsler C, 2014, ENVIRON URBAN, V26, P86, DOI 10.1177/0956247813516061
   Wang H, 2021, FORESTS, V12, DOI 10.3390/f12010101
   White MP, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44097-3
   WHO, 2016, P UN C HOUS SUST URB
   Windmeijer P., 2017, KAIARAHI WORK PROGRA
   World Bank, 2008, Biodiversity, Climate Change, and Adaptation: Nature-based Solutions from the World Bank Portfolio
   Xiao Qingfu, 2002, Urban Ecosystems, V6, P291, DOI 10.1023/B:UECO.0000004828.05143.67
   Xing YG, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010149
   Yang LJ, 2020, IOP C SER EARTH ENV, V615, DOI 10.1088/1755-1315/615/1/012037
   Ye GD, 2003, BUILD ENVIRON, V38, P33, DOI 10.1016/S0360-1323(02)00027-6
   Yu K., 2015, CITY PLANNING REV, V39, P26, DOI DOI 10.11819/CPR20150605A
   Yu K., 2015, GEOGRAPHY
   Zhao B., NATURE BASED SOLUTIO
   Zheng DL, 2013, URBAN FOR URBAN GREE, V12, P61, DOI 10.1016/j.ufug.2012.10.003
   ,, 2009, CBD Technical Series
NR 158
TC 42
Z9 45
U1 16
U2 109
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2021
VL 13
IS 19
AR 10950
DI 10.3390/su131910950
PG 56
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA YZ9LK
UT WOS:000755791100001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Zhu, M
   Zhou, WB
   Hu, M
   Du, J
   Yuan, TF
AF Zhu, Min
   Zhou, Wenbo
   Hu, Min
   Du, Juan
   Yuan, Tengfei
TI Evaluating the Renewal Degree for Expressway Regeneration Projects Based
   on a Model Integrating the Fuzzy Delphi Method, the Fuzzy AHP Method,
   and the TOPSIS Method
SO SUSTAINABILITY
LA English
DT Article
DE expressway renewal; renewal degree; fuzzy delphi method; fuzzy AHP;
   q-Rung orthopair fuzzy sets; TOPSIS
ID SUSTAINABLE URBAN-RENEWAL; DECISION-SUPPORT
AB As the volume and scale of urban expressways continue to increase, renewal remains a concern for urban development. The renewal and decision-making of an urban expressway need to be endowed with new concepts to adapt to the rapid development of cities. Nevertheless, in addition to considering road factors such as facility conditions, driving conditions, and environmental protection, the existing evaluation system lacks comprehensive consideration of factors that improve resilience and adapt to future urban development, and it lacks a quantifiable general update evaluation system. Thus, the establishment of a comprehensive renewal indicator system and a mixed evaluation framework is a challenge. This study proposes an evaluation framework of expressway renewal indicators that integrates the three dimensions of macro, meso, and micro based on the fuzzy Delphi method, the fuzzy AHP method, and the TOPSIS method. A q-rung orthopair fuzzy linguistic set was used to handle expert uncertainty information in the process of conducting fuzzy evaluations. The indicators were refined into general and quantifiable evaluation indicators to improve their versatility. Moreover, the renewal value of expressways was measured and calculated using the TOPSIS method, and four renewal intervals were divided according to the calculation results. As a result, 28 renewal indicators were screened out, and the five factors with the greatest impact on renewal were the demand for transport development, the renewal of facility and service functions, the upgrading of institutional resilience, structural renewal, and economic development. The model was applied to eight expressways in Shanghai to calculate the renewal degree value and divide the renewal status. The model could identify the renewal needs of each road to guide the renewal decision. This study proposes an evaluation model to measure urban expressway renewal studies and provides a reference for urban renewal in the area of sustainable development
C1 [Zhu, Min; Zhou, Wenbo; Hu, Min; Du, Juan; Yuan, Tengfei] Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201800, Peoples R China.
   [Zhu, Min; Zhou, Wenbo; Hu, Min; Du, Juan; Yuan, Tengfei] Shanghai Engn Res Ctr Urban Infrastruct Renewal, Shanghai 200032, Peoples R China.
   [Zhu, Min] Pingxiang Univ, Sch Engn & Management, Pingxiang 337000, Peoples R China.
C3 Shanghai University; Pingxiang University
RP Zhou, WB (corresponding author), Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201800, Peoples R China.; Zhou, WB (corresponding author), Shanghai Engn Res Ctr Urban Infrastruct Renewal, Shanghai 200032, Peoples R China.
EM zhouwb@stec.net
OI Juan, Du/0000-0002-6428-7763
FU Science and Technology Commission of Shanghai Municipality Project
   [20DZ2251900, 21ZR1423800]; Humanities and Social Science Research
   Project of colleges and universities in Jiangxi Province [GL21219]
FX This work was supported by the Science and Technology Commission of
   Shanghai Municipality Project (20DZ2251900 and 21ZR1423800); Humanities
   and Social Science Research Project of colleges and universities in
   Jiangxi Province (GL21219).
CR Ali R., 2022, SCI WORLD J, V1, P1038, DOI [10.58344/jws.v1i11.118, DOI 10.58344/JWS.V1I11.118]
   Alkan N, 2021, APPL SOFT COMPUT, V110, DOI 10.1016/j.asoc.2021.107653
   Anderson JL, 2013, TRANSPORT RES REC, P24, DOI 10.3141/2357-03
   [Anonymous], 2019, USE ENVISION I SUSTA
   [Anonymous], IND HTML
   Azhar NA, 2021, RECENT ADV ELECTR EL, V14, P779, DOI 10.2174/2352096514666211029112443
   bregroup, BREEAM INFR ACH SUST
   Chan SL, 2014, SOC INDIC RES, V115, P387, DOI 10.1007/s11205-012-0225-3
   Chang AS, 2018, J CLEAN PROD, V203, P836, DOI 10.1016/j.jclepro.2018.08.047
   Clevenger C., 2013, PROC 49 ASC ANN INT, V4, P10
   El-Kholy AM, 2020, ARAB J SCI ENG, V45, P3635, DOI 10.1007/s13369-019-04201-1
   Gong JW, 2020, INT J INTELL SYST, V35, P1912, DOI 10.1002/int.22278
   Guang Y.L., 2022, CONSTR EC, P57, DOI [10.14181/j.cnki.1002-851x.2022S10057, DOI 10.14181/J.CNKI.1002-851X.2022S10057]
   Gupta R, 2022, COMPUT IND ENG, V169, DOI 10.1016/j.cie.2022.108207
   Hai F.Z., 2017, J HEBEI NORM U SCI T, V31, P69, DOI [10.3969/J.ISSN.1672-7983.2017.01.014, DOI 10.3969/J.ISSN.1672-7983.2017.01.014]
   Hai Y.-B., 2018, J HIGH ENERGY PHYS, V8, P179, DOI [10.13282/j.cnki.wccst.2018.08.047, DOI 10.13282/J.CNKI.WCCST.2018.08.047]
   Hashemi H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031477
   Hoxha E, 2021, SCI TOTAL ENVIRON, V759, DOI 10.1016/j.scitotenv.2020.143506
   Hsu YL, 2010, EXPERT SYST APPL, V37, P419, DOI 10.1016/j.eswa.2009.05.068
   Huang JD, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76569-2
   Hwang C.-L., 1981, LECT NOTES EC MATH S, V186, P59
   Ibrahim AH, 2019, ALEX ENG J, V58, P1399, DOI 10.1016/j.aej.2019.11.011
   ISHIKAWA A, 1993, FUZZY SET SYST, V55, P241, DOI 10.1016/0165-0114(93)90251-C
   Istrate AL, 2022, PROG PLANN, V158, DOI 10.1016/j.progress.2021.100544
   Jose F., 2005, MULTIPLE CRITERIA DE, P133
   Kutlu AC, 2012, EXPERT SYST APPL, V39, P61, DOI 10.1016/j.eswa.2011.06.044
   LAI YJ, 1994, EUR J OPER RES, V76, P486, DOI 10.1016/0377-2217(94)90282-8
   Lee JC, 2011, TRANSPORT RES REC, P178, DOI 10.3141/2233-21
   Leuwayan S., 2020, IOP C SER EARTH ENV, V473, P012074, DOI [10.1088/1755-1315/473/1/012074, DOI 10.1088/1755-1315/473/1/012074]
   Li D, 2020, J CLEAN PROD, V255, DOI 10.1016/j.jclepro.2020.120033
   Li HL, 2021, SYMMETRY-BASEL, V13, DOI 10.3390/sym13112214
   Lin SH, 2021, LAND USE POLICY, V108, DOI 10.1016/j.landusepol.2021.105570
   Liu PD, 2018, INT J INTELL SYST, V33, P259, DOI 10.1002/int.21927
   Liu PY, 2019, IEEE ACCESS, V7, P162050, DOI 10.1109/ACCESS.2019.2951357
   Mattinzioli T, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102447
   Mousseau V, 2001, EUR J OPER RES, V130, P263, DOI 10.1016/S0377-2217(00)00041-2
   Muench S.T., 2010, International Journal of Pavement Research and Technology, V3, P270
   Nautiyal A, 2022, INNOV INFRASTRUCT SO, V7, DOI 10.1007/s41062-022-00771-6
   Ostadtaghizadeh Abbas, 2015, PLoS Curr, V7, DOI 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed
   Pérez MGR, 2018, SUSTAIN CITIES SOC, V38, P440, DOI 10.1016/j.scs.2017.12.038
   Rostamnezhad M, 2020, ENG CONSTR ARCHIT MA, V27, P1595, DOI 10.1108/ECAM-01-2018-0031
   Ruiz A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030872
   Saffie NAM, 2016, 2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016)
   Sánchez-Garrido AJ, 2022, J CLEAN PROD, V330, DOI 10.1016/j.jclepro.2021.129724
   Shanghai Municipal Statistics Bureau (SBS), 2021, Shanghai statistical Yearbook 2021
   Shi G, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16132318
   Sumrit D., 2020, IJMDM, V19, P1, DOI [10.1504/IJMDM.2020.104182, DOI 10.1504/IJMDM.2020.104182]
   Tran NH, 2021, INT J SUSTAIN TRANSP, V15, P203, DOI 10.1080/15568318.2020.1722868
   Uspalyte-Vitkuniene R, 2020, PROMET-ZAGREB, V32, P119
   Wang XK, 2021, GROUP DECIS NEGOT, V30, P1433, DOI 10.1007/s10726-021-09735-0
   Wang XK, 2021, EXPERT SYST, V38, DOI 10.1111/exsy.12681
   Wang ZQ, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17020560
   Yager RR, 2017, IEEE T FUZZY SYST, V25, P1222, DOI 10.1109/TFUZZ.2016.2604005
   Yang Yan-gang, 2021, E3S Web of Conferences, V233, DOI 10.1051/e3sconf/202123301136
   Yue W.G., 2015, ROAD TRAFFIC SAF, V15, P6, DOI [10.13986/j.cnki.jote.2015.05.002, DOI 10.13986/J.CNKI.JOTE.2015.05.002]
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
   Zavadskas EK, 2013, STUD INFORM CONTROL, V22, P249
   Zheng HW, 2017, ENVIRON PLAN B-URBAN, V44, P903, DOI 10.1177/0265813516655547
   Zheng W, 2017, LAND USE POLICY, V69, P361, DOI 10.1016/j.landusepol.2017.09.019
   Zhu SY, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174545
NR 60
TC 11
Z9 11
U1 16
U2 53
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2023
VL 15
IS 4
AR 3769
DI 10.3390/su15043769
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 9L1SB
UT WOS:000941335000001
OA gold
DA 2025-04-22
ER

PT J
AU Haghani, M
   Sabri, S
   De Gruyter, C
   Ardeshiri, A
   Shahhoseini, Z
   Sanchez, TW
   Acuto, M
AF Haghani, Milad
   Sabri, Soheil
   De Gruyter, Chris
   Ardeshiri, Ali
   Shahhoseini, Zahra
   Sanchez, Thomas W.
   Acuto, Michele
TI The landscape and evolution of urban planning science
SO CITIES
LA English
DT Article
DE Urban planning; Regional planning; Urban science; Science of science;
   Document co-citation; Temporal analysis; International collaboration
ID GREEN INFRASTRUCTURE; SPATIAL-DISTRIBUTION; PANEL-DATA; INCREASING
   RETURNS; POLITICAL-ECONOMY; EUROPEAN CITIES; SYSTEMS-THEORY; SMART
   GROWTH; GLOBAL CITY; INNER-CITY
AB The science of urban planning has drawn on a wide range of disciplines and research perspectives. This makes it challenging to define the boundaries and directions of the field. Here, nearly 100,000 articles on urban planning are analysed to objectively determine divisions, temporal trends and influential references and actors of urban planning. In terms of the structural composition, four broad divisions are identified: (1) governance and policy, (2) economics and markets, (3) housing and (4) built and natural environment. In terms of the temporal evo-lution, the earliest trends were related to "welfare economics", "agglomeration economies", "urban economics", and "urban growth machine". During the 1980s and 1990s, the focus moved towards "regional policy and development", "social welfare", and "urban renaissance". This trend continued during the 2000s and 2010s, heading to "urban morphology", "participatory planning", "urban sociology", "global cities", and "political economy". The field has recently headed towards areas of "resilience", "smart cities" and "urban green space". These transitions have been derivative, and the paradigm shifts have been very gradual. Another key observation is a notable increase in author connectivity and international collaboration. The results provide objective insights into how the science of urban planning has historically transitioned and where it is headed.
C1 [Haghani, Milad] Univ New South Wales, Res Ctr Integrated Transport Innovat rCITI, Sch Civil & Environm Engn, UNSW Sydney, Sydney, Australia.
   [Sabri, Soheil] Univ Melbourne, Ctr Spatial Data Infrastruct & Land Adm, Melbourne, Australia.
   [De Gruyter, Chris] RMIT Univ, Ctr Urban Res, Sch Global Urban & Social Studies, Melbourne, Australia.
   [Ardeshiri, Ali] Univ South Australia, Business Sch, Adelaide, Australia.
   [Shahhoseini, Zahra] Victoria Major Transport Infrastruct Author, Melbourne, Australia.
   [Sanchez, Thomas W.] Virginia Tech, Urban Affairs & Planning, Blacksburg, VA USA.
   [Sabri, Soheil; Acuto, Michele] Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Australia.
C3 University of New South Wales Sydney; University of Melbourne; Royal
   Melbourne Institute of Technology (RMIT); University of South Australia;
   Virginia Polytechnic Institute & State University; University of
   Melbourne
RP Haghani, M (corresponding author), Univ New South Wales, Res Ctr Integrated Transport Innovat rCITI, Sch Civil & Environm Engn, UNSW Sydney, Sydney, Australia.
EM milad.haghani@unsw.edu.au
RI Haghani, Milad/AAD-8691-2020; Sanchez, Thomas/IAN-5364-2023; Ardeshiri,
   Ali/AAG-4287-2021; Sabri, Soheil/A-1702-2013; Ardeshiri, Ali/J-9736-2016
OI Acuto, Michele/0000-0003-4320-0531; Sanchez, Thomas/0000-0002-8259-0088;
   Shahhoseini, Zahra/0009-0002-2220-5309; Ardeshiri,
   Ali/0000-0002-3453-0953
FU Australian Research Council [DE210100440]; Australian Research Council
   [DE210100440] Funding Source: Australian Research Council
FX This research was funded by Australian Research Council grant
   DE210100440. The authors are much grateful for the constructive feedback
   received from two anonymous referees on an earlier version of this work.
CR Acs ZJ, 2002, INT REGIONAL SCI REV, V25, P132, DOI 10.1177/016001702762039484
   Acuto M, 2011, URBAN STUD, V48, P2953, DOI 10.1177/0042098010392081
   Afzalan N, 2017, CITIES, V67, P21, DOI 10.1016/j.cities.2017.04.002
   Ahrend R, 2017, J REGIONAL SCI, V57, P385, DOI 10.1111/jors.12334
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Albino V, 2015, J URBAN TECHNOL, V22, P3, DOI 10.1080/10630732.2014.942092
   Alexander ER, 2000, J PLAN EDUC RES, V19, P242, DOI 10.1177/0739456X0001900303
   Alexandri G, 2018, INT J URBAN REGIONAL, V42, P36, DOI 10.1111/1468-2427.12566
   Alidadi M, 2018, INT J URBAN SCI, V22, P38, DOI 10.1080/12265934.2017.1329024
   Alkon AH, 2020, INT J URBAN REGIONAL, V44, P108, DOI 10.1111/1468-2427.12684
   Allegra M, 2013, URBAN STUD, V50, P1675, DOI 10.1177/0042098013482841
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Alonso W., 1964, ECON GEOGR, V42, P11
   Anas A, 1998, J ECON LIT, V36, P1426
   Ancien D, 2011, URBAN STUD, V48, P2473, DOI 10.1177/0042098011411945
   Anderson MB, 2013, URBAN AFF REV, V49, P435, DOI 10.1177/1078087412465590
   Andersson R, 2005, PAP REG SCI, V84, P445, DOI 10.1111/j.1435-5957.2005.00049.x
   Andersson R, 2007, HOUSING STUD, V22, P637, DOI 10.1080/02673030701474602
   Andersson R, 2009, J URBAN ECON, V66, P2, DOI 10.1016/j.jue.2009.02.004
   Angrist JD, 2009, MOSTLY HARMLESS ECONOMETRICS: AN EMPIRICISTS COMPANION, P1
   Anguelovski I, 2018, URBAN GEOGR, V39, P458, DOI 10.1080/02723638.2017.1349987
   [Anonymous], 1984, CITIES WEALTH NATION
   [Anonymous], 1985, Crabgrass frontier: The suburbanization of the United States
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   ARELLANO M, 1991, REV ECON STUD, V58, P277, DOI 10.2307/2297968
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Arundel R, 2020, URBAN GEOGR, V41, P497, DOI 10.1080/02723638.2019.1681722
   Asheim BT, 2011, REG STUD, V45, P893, DOI 10.1080/00343404.2010.543126
   August M, 2016, URBAN STUD, V53, P3405, DOI 10.1177/0042098015613207
   Backman M, 2014, PAP REG SCI, V93, P557, DOI 10.1111/pirs.12005
   Badura T, 2021, LANDSCAPE URBAN PLAN, V215, DOI 10.1016/j.landurbplan.2021.104215
   Balland PA, 2015, REG STUD, V49, P907, DOI 10.1080/00343404.2014.883598
   Barrios S, 2009, REG STUD, V43, P721, DOI 10.1080/00343400801922822
   Barro R. J., 2004, EC GROWTH
   BARRO RJ, 1991, BROOKINGS PAP ECO AC, P107
   BARRO RJ, 1992, J POLIT ECON, V100, P223, DOI 10.1086/261816
   BARTELS CPA, 1982, REG SCI URBAN ECON, V12, P3, DOI 10.1016/0166-0462(82)90013-8
   Bartik T.J., 1991, Who Benefits from State and Local Economic Development Policies?, DOI DOI 10.17848/9780585223940
   Bathelt H, 2004, PROG HUM GEOG, V28, P31, DOI 10.1191/0309132504ph469oa
   Baum HS, 2004, J AM PLANN ASSOC, V70, P14, DOI 10.1080/01944360408976335
   Baumont C, 2009, PAP REG SCI, V88, DOI 10.1111/j.1435-5957.2008.00200.x
   Beck U., 1992, RISK SOC NEW MODERNI
   Behrens K, 2017, J URBAN ECON, V97, P40, DOI 10.1016/j.jue.2016.11.003
   Behrens K, 2009, PAP REG SCI, V88, DOI 10.1111/j.1435-5957.2009.00241.x
   Ben-Akiva ME, 1985, DISCRETE CHOICE ANAL
   Berglund L, 2020, J PLAN LIT, DOI 10.1177/0885412220928507
   Bierbaum AH, 2020, J URBAN AFF, V42, P450, DOI 10.1080/07352166.2020.1712150
   Blanco H, 2009, PROG PLANN, V71, P153, DOI 10.1016/j.progress.2009.03.001
   Blasius J, 2007, HOUSING STUD, V22, P753, DOI 10.1080/02673030701474693
   Bluestone Barry., 1982, The Deindustrialization of America: Plant Closings, Community Abandonment and the Dismantling of Basic Industry
   Blumenberg E, 2004, J PLAN LIT, V19, P182, DOI 10.1177/0885412204269103
   Blundell R, 1998, J ECONOMETRICS, V87, P115, DOI 10.1016/S0304-4076(98)00009-8
   Boland P, 2017, CITIES, V61, P117, DOI 10.1016/j.cities.2016.08.012
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bontje M, 2011, URBAN GEOGR, V32, P80, DOI 10.2747/0272-3638.32.1.80
   Borén T, 2013, INT J URBAN REGIONAL, V37, P1799, DOI 10.1111/j.1468-2427.2012.01132.x
   Borg I, 2005, MODERN MULTIDIMENSIO, DOI DOI 10.18637/JSS.V014.B04
   Borts G.H., 1964, EC GROWTH FREE MARKE
   Boschma RA, 2005, REG STUD, V39, P61, DOI 10.1080/0034340052000320887
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bourdieu P., 1979, HDB THEORY RES SOCIO, DOI DOI 10.1002/9780470755679.CH15
   BOVAIRD T, 1993, URBAN STUD, V30, P631, DOI 10.1080/00420989320081851
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Brenner N, 2003, EUR URBAN REG STUD, V10, P297, DOI 10.1177/09697764030104002
   Brenner N, 2002, CITIES, V19, P3, DOI 10.1016/S0264-2751(01)00042-7
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Brenner Neil., 2004, New State Spaces: Urban Governance and the Rescaling of Statehood
   Bugge MM, 2015, EUR PLAN STUD, V23, P764, DOI 10.1080/09654313.2014.970131
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Bunnell T, 2015, URBAN STUD, V52, P1983, DOI 10.1177/0042098013505882
   Burgalassi D, 2015, CITIES, V49, P134, DOI 10.1016/j.cities.2015.07.008
   Butler T, 2003, URBAN STUD, V40, P1791, DOI 10.1080/0042098032000106609
   Byrne M, 2020, HOUSING STUD, V35, P743, DOI 10.1080/02673037.2019.1632813
   Calderón-Argelich A, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104130
   Calthorpe P., 1993, The next American metropolis: Ecology, community and the American dream
   Campbell H, 2012, J PLAN EDUC RES, V32, P135, DOI 10.1177/0739456X11436347
   Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696
   Capello R, 2002, ANN REGIONAL SCI, V36, P387, DOI 10.1007/s001680200106
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Carruthers JI, 2008, URBAN STUD, V45, P1791, DOI 10.1177/0042098008093379
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Castells M., 1996, Rise of The Network Society
   Castells M., 1977, URBAN QUESTION MARXI
   CASTELLS Manuel, 1983, The city and the grassroots: A cross-cultural theory of urban social movements
   Celbis MG, 2018, PAP REG SCI, V97, P387, DOI 10.1111/pirs.12244
   Centner R, 2008, CITY COMMUNITY, V7, P193, DOI 10.1111/j.1540-6040.2008.00258.x
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   CHARNES A, 1978, EUR J OPER RES, V2, P429, DOI 10.1016/0377-2217(78)90138-8
   CHARNEY AH, 1993, REG STUD, V27, P313, DOI 10.1080/00343409312331347585
   Chaskin RJ, 2013, INT J URBAN REGIONAL, V37, P480, DOI 10.1111/j.1468-2427.2012.01158.x
   Chaskin RJ, 2010, URBAN AFF REV, V45, P299, DOI 10.1177/1078087409341544
   Chauvin JP, 2017, J URBAN ECON, V98, P17, DOI 10.1016/j.jue.2016.05.003
   Chen AL, 2014, URBAN FOR URBAN GREE, V13, P646, DOI 10.1016/j.ufug.2014.07.006
   Chen CM, 2004, P NATL ACAD SCI USA, V101, P5303, DOI 10.1073/pnas.0307513100
   Chen Y, 2021, URBAN FOR URBAN GREE, V59, DOI 10.1016/j.ufug.2021.127009
   Chiesura A, 2004, LANDSCAPE URBAN PLAN, V68, P129, DOI 10.1016/j.landurbplan.2003.08.003
   Christaller W., 1966, CENTRAL PLACES SO GE
   CLARKE SE, 1990, URBAN AFF REV, V25, P389, DOI 10.1177/004208169002500302
   COLE S, 1978, FUTURES, V10, P3, DOI 10.1016/0016-3287(78)90139-8
   Coleman J. S., 1966, EQUALITY ED OPPORTUN
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Collins RM, 2020, LANDSCAPE URBAN PLAN, V201, DOI 10.1016/j.landurbplan.2020.103823
   Csukás MS, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103116
   Curley AM, 2010, HOUS POLICY DEBATE, V20, P237, DOI 10.1080/10511481003738542
   Curley AM, 2010, J URBAN AFF, V32, P79, DOI 10.1111/j.1467-9906.2009.00475.x
   Dadashpoor H, 2020, HABITAT INT, V101, DOI 10.1016/j.habitatint.2020.102189
   Dahl RobertA., 2005, WHO GOVERNS DEMOCRAC, V2nd
   DAVIDOFF P, 1965, J AM I PLANNERS, V31, P331, DOI 10.1080/01944366508978187
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Debarsy N, 2010, REG SCI URBAN ECON, V40, P453, DOI 10.1016/j.regsciurbeco.2010.06.001
   Delgadillo V, 2016, URBAN GEOGR, V37, P1154, DOI 10.1080/02723638.2015.1096114
   Delpit Lisa., 1995, Other People's Children: Cultural Conflict in The Classroom
   Dennis M, 2016, URBAN FOR URBAN GREE, V15, P22, DOI 10.1016/j.ufug.2015.11.009
   Dennis M, 2017, LANDSCAPE URBAN PLAN, V157, P343, DOI 10.1016/j.landurbplan.2016.08.009
   Dessemontet P, 2010, URBAN STUD, V47, P2785, DOI 10.1177/0042098010377371
   DIAMOND DB, 1980, URBAN STUD, V17, P1, DOI 10.1080/00420988020080011
   Downs Anthony., 1994, NEW VISIONS METROPOL
   Du HY, 2021, J URBAN PLAN DEV, V147, DOI 10.1061/(ASCE)UP.1943-5444.0000671
   Du ZW, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102767
   Eder M, 2015, INT J URBAN REGIONAL, V39, P284, DOI 10.1111/1468-2427.12156
   ELIAS P, 1982, URBAN STUD, V19, P1, DOI 10.1080/00420988220080011
   Elkin S.L., 1987, CITY REGIME AM REPUB
   Ertur C, 2006, INT REGIONAL SCI REV, V29, P3, DOI 10.1177/0160017605279453
   Esping-Andersen G., 1990, The three worlds of welfare capitalism
   Ewing R, 2001, TRANSPORT RES REC, P87, DOI 10.3141/1780-10
   Ezcurra R, 2005, URBAN STUD, V42, P1057, DOI 10.1080/00420980500120824
   Ezcurra R, 2006, REG STUD, V40, P601, DOI 10.1080/00343400600868754
   Fainstein, 2020, GOLDEN GATES FIGHTIN
   Fainstein SS, 2005, J PLAN EDUC RES, V25, P121, DOI 10.1177/0739456X05279275
   Fainstein SS, 2000, URBAN AFF REV, V35, P451, DOI 10.1177/107808740003500401
   Fainstein SS, 2014, INT J URBAN SCI, V18, P1
   Fan ZX, 2021, URBAN FOR URBAN GREE, V59, DOI 10.1016/j.ufug.2021.126996
   Ferguson M, 2018, LANDSCAPE URBAN PLAN, V175, P136, DOI 10.1016/j.landurbplan.2018.03.020
   Florida R., 2005, Cities and the creative class, DOI DOI 10.1016/j.landurbplan.2013.04.009
   Florida R. C., 2002, RISE CREATIVE CLASS
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Flyvbjerg B., 1998, RATIONALITY POWER DE
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   FORESTER J, 1982, J AM PLANN ASSOC, V48, P67, DOI 10.1080/01944368208976167
   Forester J., 2001, The Deliberative Practitioner: Encouraging Participatory Planning Processes
   Forman R., 1986, Landscape Ecology
   Forman R.T. T., 1995, Land Mosaics: The Ecology of Landscapes and Regions, Cambridge
   FORRESTER J. W., 1971, World dynamics
   Fothergill S., 1982, UNEQUAL GROWTH URBAN
   Fraser JC, 2003, URBAN AFF REV, V38, P417, DOI 10.1177/1078087402238808
   Freeman L, 2005, URBAN AFF REV, V40, P463, DOI 10.1177/1078087404273341
   Frenchman, 2017, PLANNING SHAPES URBA, P27
   FRIEDMANN J, 1986, DEV CHANGE, V17, P69, DOI 10.1111/j.1467-7660.1986.tb00231.x
   Friedmann J., 1987, Planning in the public domain: From knowledge to action
   Fritz, 1894, DTSCH STADTANLAGEN H
   Fujita M., 2001, The spatial economy: Cities, regions, and international trade
   FUNTOWICZ SO, 1993, FUTURES, V25, P739, DOI 10.1016/0016-3287(93)90022-L
   GALE DE, 1979, J AM PLANN ASSOC, V45, P293, DOI 10.1080/01944367908976968
   Galster G, 2001, HOUS POLICY DEBATE, V12, P681, DOI 10.1080/10511482.2001.9521426
   GALSTER GC, 1990, URBAN STUD, V27, P385, DOI 10.1080/00420989020080341
   Gans HerbertJ., 1962, The Urban Villagers: Group and Class in the Life of Italian-Americans
   Garreau J., 1991, Edge City: Life On The New Frontier
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   GIBBONS M., 1997, The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies, DOI 10.4135/9781446221853
   Gibson DavidV., 1992, The Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks
   Giddens A., 1984, CONSTITUTION SOC OUT
   Giovannoni G., 1931, VALERIE MAGAR, V48, P57
   Glaeser E. L., 2001, Journal of Economic Geography, V1, P27
   GLAESER EL, 1992, J POLIT ECON, V100, P1126, DOI 10.1086/261856
   Glaser B, 1999, DISCOV GROUNDED THEO
   Gobster PH, 2004, LANDSCAPE URBAN PLAN, V68, P147, DOI 10.1016/S0169-2046(03)00162-2
   Goodchild MF, 2007, GEOJOURNAL, V69, P211, DOI 10.1007/s10708-007-9111-y
   Gospodini A, 2009, URBAN STUD, V46, P1157, DOI 10.1177/0042098009103859
   Graham S., 2001, SPLINTERING URBANISM, DOI [DOI 10.4324/9780203452202, 10.4324/9780203452202]
   GRANOVETTER M, 1985, AM J SOCIOL, V91, P481, DOI 10.1086/228311
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grodach C, 2013, INT J URBAN REGIONAL, V37, P1747, DOI 10.1111/j.1468-2427.2012.01165.x
   Haghani Milad, 2021, J Safety Res, V79, P173, DOI 10.1016/j.jsr.2021.09.002
   Hamada S, 2010, URBAN FOR URBAN GREE, V9, P15, DOI 10.1016/j.ufug.2009.10.002
   HANSEN N, 1988, INT REGIONAL SCI REV, V11, P121, DOI 10.1177/016001768801100202
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   HARVEY D, 1989, GEOGR ANN B, V71, P3, DOI 10.2307/490503
   Harvey D., 1985, Consciousness and the Urban Experience
   Harvey David., 2000, Spaces of Hope
   Harvey David., 1996, JUSTICE NATURE GEOGR
   Harvey David., 1990, The Condition of Postmodernity: An Enquiry into the Origins of Cultural Change
   Harvey David, 1973, SOCIAL JUSTICE CITY, DOI DOI 10.1017/S0047279400001094
   Harvey David, 2005, BRIEF HIST NEOLIBERA
   Harvey David., 1982, The Limits to Capital
   Healey Pasty., 2006, Collaborative Planning: Shaping Places in Fragmented Societies, V2nd
   HECKMAN JJ, 1979, ECONOMETRICA, V47, P153, DOI 10.2307/1912352
   Helga Nowotny, 2001, GIBBONS RETHINKING S
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Hirschman AlbertO., 1988, STRATEGY EC DEV
   Hochstenbach C, 2021, URBAN GEOGR, V42, P769, DOI 10.1080/02723638.2020.1741974
   Hollands R. G., 2008, City, V12, P303, DOI [https://doi.org/10.1080/13604810802479126, DOI 10.4324/9781315178387-13, 10.1080/13604810802479126, DOI 10.1080/13604810802479126]
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hotelling H, 1929, ECON J, V39, P41, DOI 10.2307/2224214
   Howard E., 1902, Garden Cities of To-Morrow
   Hsing Y., 2010, The Great Urban Transformation: Policies of Land and Property in China
   Hunter A., 1974, SYMBOLIC COMMUNITIES
   Innes Judith., 2018, PLANNING COMPLEXITY, DOI [10.4324/9781315147949, 10.4324/9780203864302, DOI 10.4324/9780203864302]
   Isard W., 1956, Location and Space-Economy; a General Theory Relating to Industrial Location, Market Areas, Land Use, Trade, DOI DOI 10.2307/1053649
   Isard W., 1960, Methods of Regional Analysis: An Introduction to Regional Science
   Jacobs J., 1969, EC CITIES
   JAFFE AB, 1993, Q J ECON, V108, P577, DOI 10.2307/2118401
   Jane J., 1961, DEATH LIFE GREAT AM
   Jencks Christopher, 1972, Inequality: A Reassessment of the Effect of Family and Schooling in America
   Kain J., 1975, HOUSING MARKETS RACI
   Kain J.F., 1992, HOUS POLICY DEBATE, V3, P371, DOI [10.1080/10511482.1992.9521100, DOI 10.1080/10511482.1992.9521100]
   KAIN JF, 1968, Q J ECON, V82, P175, DOI 10.2307/1885893
   Kaplan R., 1989, The Experience of Nature: A Psychological Perspective
   KAPLAN S, 1995, J ENVIRON PSYCHOL, V15, P169, DOI 10.1016/0272-4944(95)90001-2
   Keeble D., 1976, IND LOCATION PLANNIN
   Kemeny Jim., 1995, From public housing to the social market rental policy strategies in comparative perspective
   Kent JL, 2014, J PLAN LIT, V29, P239, DOI 10.1177/0885412214520712
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Klein JT, 2004, FUTURES, V36, P515, DOI 10.1016/j.futures.2003.10.007
   KRUGMAN P, 1991, J POLIT ECON, V99, P483, DOI 10.1086/261763
   Krugman P., 1991, Geography and trade
   Kuo FE, 2001, ENVIRON BEHAV, V33, P343, DOI 10.1177/00139160121973025
   LANCASTER KJ, 1966, J POLIT ECON, V74, P132, DOI 10.1086/259131
   Lang, 2020, J URBAN PLAN DEV, V146
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   LEE BA, 1984, URBAN STUD, V21, P219, DOI 10.1080/00420988420080501
   Lees L, 2008, URBAN STUD, V45, P2449, DOI 10.1177/0042098008097099
   Lefebvre Henri, 1992, PRODUCTION SPACE, DOI DOI 10.1027/1618-3169/A000129
   Leighly, 1928, TOWNS MALARDALEN SWE
   LeSage J, 2009, STAT TEXTB MONOGR, P1
   Ley David., 1996, NEW MIDDLE CLASS REM
   Logan JohnR. Harry L. Molotch., 1987, URBAN FORTUNES POLIT
   Long HL, 2012, LAND USE POLICY, V29, P11, DOI 10.1016/j.landusepol.2011.04.003
   Lovering J, 1999, INT J URBAN REGIONAL, V23, P379, DOI 10.1111/1468-2427.00202
   Lowi TheodoreJ., 1969, The End of Liberalism: Ideology, Policy, and the Crisis of Public Authority
   LUCAS RE, 1988, J MONETARY ECON, V22, P3, DOI 10.1016/0304-3932(88)90168-7
   LUCY WH, 1975, URBAN AFF REV, V11, P155, DOI 10.1177/107808747501100201
   Lynch K., 1960, IMAGE CITY
   Maddala G.S., 1983, Limited-dependent and qualitative variables in econometrics, P401
   MALECKI EJ, 1983, INT REGIONAL SCI REV, V8, P89, DOI 10.1177/016001768300800201
   Marek L, 2017, CITIES, V63, P41, DOI 10.1016/j.cities.2016.12.013
   Marshall A., 1890, PRINCIPLES EC
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Martinez-Fernandez C, 2012, INT J URBAN REGIONAL, V36, P213, DOI 10.1111/j.1468-2427.2011.01092.x
   Marvin S., 1998, Telecommunications and the City: Electronic Spaces, Urban Places, V3, P195
   Masik G, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102970
   Massey D., 1982, ANATOMY JOB LOSS WHY
   Massey D, 1993, American apartheid: Segregation and the making of the underclass
   MCHARG I L, 1969, P197
   McKinney ML, 2002, BIOSCIENCE, V52, P883, DOI 10.1641/0006-3568(2002)052[0883:UBAC]2.0.CO;2
   MEADOWS D H, 1972, P205
   Miles M.B., 1994, QUALITATIVE DATA ANA
   Miller R.E., 2009, Input-Output Analysis: Foundations and Extensions
   Mills E. S., 1972, Studies in the structure of the urban economy
   Mills ES, 1967, AM ECON REV, V57, P197
   Milner HR, 2012, URBAN EDUC, V47, P556, DOI 10.1177/0042085912447516
   Mitchell C, 2015, FUTURES, V65, P86, DOI 10.1016/j.futures.2014.10.007
   Mobjörk M, 2010, FUTURES, V42, P866, DOI 10.1016/j.futures.2010.03.003
   Mollenkopf JohnH., 1983, CONTESTED CITY
   MOLOTCH H, 1976, AM J SOCIOL, V82, P309, DOI 10.1086/226311
   Morgan K, 2007, REG STUD, V41, pS147, DOI 10.1080/00343400701232322
   Muth R.F., 1969, Cities and Housing: The Spatial Pattern of Urban Residential Land Use
   NEWTON K, 1975, URBAN AFF REV, V11, P241, DOI 10.1177/107808747501100204
   Norris M, 2021, HOUSING STUD, V36, P1469, DOI 10.1080/02673037.2020.1777944
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Orfield M., 1997, Metropolitics: A Regional Agenda for Community Stability
   ORNSTEIN AC, 1971, URBAN EDUC, V5, P378, DOI 10.1177/004208597100500407
   Ostrom E., 2015, Governing the Commons: The Evolution of Institutions for Collective Action, DOI 10.1017/CBO9781316423936
   OSTROM V, 1961, AM POLIT SCI REV, V55, P831, DOI 10.2307/1952530
   Palmisano S. J., 2008, SMARTER PLANET NEXT, P1
   Park J, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127256
   Patton M.Q., 1990, QUALITATIVE EVALUATI
   Peck J, 2005, INT J URBAN REGIONAL, V29, P740, DOI 10.1111/j.1468-2427.2005.00620.x
   Peterson P. E., 1981, City limits
   Piketty, 2014, CAPITAL 20 RST CENTU
   Piore M. J., 1984, The second industrial divide: possibilities for prosperity
   Popa F, 2015, FUTURES, V65, P45, DOI 10.1016/j.futures.2014.02.002
   PORTER ME, 1990, HARVARD BUS REV, V68, P73
   Pred A.R., 1977, CITY SYSTEMS ADV EC
   Putnam R.D., 2000, BOWLING ALONE COLLAP, DOI 10.1145/358916.361990
   Putnam R.D., 1993, Making democracy work: Civic traditions in modern Italy
   Rakoto PY, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127266
   Rey SJ, 1999, REG STUD, V33, P143, DOI 10.1080/00343409950122945
   Richardson H.W., 1973, REGIONAL GROWTH THEO
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   ROBACK J, 1982, J POLIT ECON, V90, P1257, DOI 10.1086/261120
   Rolnik R, 2013, INT J URBAN REGIONAL, V37, P1058, DOI 10.1111/1468-2427.12062
   ROMER PM, 1986, J POLIT ECON, V94, P1002, DOI 10.1086/261420
   Ronald R, 2008, IDEOLOGY OF HOME OWNERSHIP: HOMEOWNER SOCIETIES AND THE ROLE OF HOUSING, P1, DOI 10.1057/9780230582286
   Rosendahl J, 2015, FUTURES, V65, P17, DOI 10.1016/j.futures.2014.10.011
   Rosewarne S, 2019, J AUST POLIT ECON, P5
   Roy A, 2005, J AM PLANN ASSOC, V71, P147, DOI 10.1080/01944360508976689
   Roy A, 2009, REG STUD, V43, P819, DOI 10.1080/00343400701809665
   Roy S, 2012, URBAN FOR URBAN GREE, V11, P351, DOI 10.1016/j.ufug.2012.06.006
   Rusk D., 1993, Cities without suburbs
   Sampson R. J., 2012, Great American City
   Sampson RJ, 1997, SCIENCE, V277, P918, DOI 10.1126/science.277.5328.918
   Sanchez, 2017, MAPPING KNOWLEDGE DO, P69
   Sardar Z, 2010, FUTURES, V42, P435, DOI 10.1016/j.futures.2009.11.028
   Sassen Saskia., 2006, Cities in a World Economy
   Sassen Saskia, 1991, GLOBAL CITY
   Schauppenlehner-Kloyber E, 2015, FUTURES, V65, P57, DOI 10.1016/j.futures.2014.08.012
   Schilling J, 2008, J AM PLANN ASSOC, V74, P451, DOI 10.1080/01944360802354956
   Schmenner R.W.., 1982, MAKING BUSINESS LOCA
   SCOTT AJ, 1982, URBAN STUD, V19, P111, DOI 10.1080/00420988220080261
   SEGAL D, 1976, REV ECON STAT, V58, P339, DOI 10.2307/1924956
   Sen A., 1999, Development as Freedom
   Serrao-Neurnann S, 2015, FUTURES, V65, P97, DOI 10.1016/j.futures.2014.08.011
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   SJAASTAD LA, 1962, J POLIT ECON, V70, P80, DOI 10.1086/258726
   Slater T, 2006, INT J URBAN REGIONAL, V30, P737, DOI 10.1111/j.1468-2427.2006.00689.x
   Smith N, 2002, ANTIPODE, V34, P427, DOI 10.1111/1467-8330.00249
   SMITH N, 1979, J AM PLANN ASSOC, V45, P538, DOI 10.1080/01944367908977002
   Smith N., 1996, The new urban frontier: Gentrification and the revanchist city
   Soderstrom O., 2014, City, V18, P307, DOI DOI 10.1080/13604813.2014.906716
   SOLOW RM, 1956, Q J ECON, V70, P65, DOI 10.2307/1884513
   Stone Clarence., 1989, REGIME POLITICS
   Storper Michael., 1989, CAPITALIST IMPERATIV
   Storper Michael, 1997, The Regional World. Territorial Development in a Global Economy
   SUAREZVILLA L, 1988, URBAN STUD, V25, P1, DOI 10.1080/00420988820080011
   Suttles Gerald D., 1972, The Social Construction of Communities
   Taeuber KarlE., 1965, NEGROES CITIES RESID
   TAYLOR M, 1983, REG STUD, V17, P445, DOI 10.1080/09595238300185441
   Taylor N., 1998, URBAN PLANNING THEOR
   Taylor PJ, 2004, INT SOC SCI J, V56, P361, DOI 10.1111/j.0020-8701.2004.00499.x
   Taylor PJ., 2015, World City Network: A Global Urban Analysis
   THWAITES AT, 1978, REG STUD, V12, P445, DOI 10.1080/09595237800185391
   TIEBOUT CM, 1956, J POLIT ECON, V64, P416, DOI 10.1086/257839
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Toffler Alvin, 1970, Future Shock
   Turok I, 2007, CITIES, V24, P165, DOI 10.1016/j.cities.2007.01.007
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   ULRICH RS, 1991, J ENVIRON PSYCHOL, V11, P201, DOI 10.1016/S0272-4944(05)80184-7
   United Nations Centre for Human Settlements HABITAT, 1996, URB WORLD GLOB REP H
   Van Eck NJ, 2007, STUD CLASS DATA ANAL, P299
   Vanolo A, 2014, URBAN STUD, V51, P883, DOI 10.1177/0042098013494427
   WHEATON WC, 1974, J ECON THEORY, V9, P223, DOI 10.1016/0022-0531(74)90068-4
   Wiechmann T, 2012, INT J URBAN REGIONAL, V36, P261, DOI 10.1111/j.1468-2427.2011.01095.x
   Wilson A. G., 1970, Entropy in Urban and Regional Modelling
   Wilson W.J., 1987, TRULY DISADVANTAGED
   Wilson WJ, 1997, POLIT SCI QUART, V111, P567
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Woods M, 2007, PROG HUM GEOG, V31, P485, DOI 10.1177/0309132507079503
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
   World Commission On Environment and Development, 1987, OUR COMMON FUTURE, DOI DOI 10.1017/S0376892900016702
   Wu K, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000628
   Wu ZZ, 2021, J URBAN TECHNOL, V28, P29, DOI 10.1080/10630732.2020.1777045
   Yin R. K., 2018, Case study research and applications: Design and methods, V6th
   Yin R.K., 2003, Case Study Research: Design and Methods
   Young I. M., 1990, JUSTICE AND THE POLITICS OF DIFFERENCE
   Zscheischler J, 2015, FUTURES, V65, P28, DOI 10.1016/j.futures.2014.11.005
   Zukin Sharon., 1995, CULTURES CITIES
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VL 136
AR 104261
DI 10.1016/j.cities.2023.104261
EA MAR 2023
PG 24
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 9Z8MH
UT WOS:000951388500001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU de Carvalho, JWLT
   Iensen, IRR
   dos Santos, I
AF de Carvalho, Juliana Wilse Landolfi Teixeira
   Iensen, Isabela Raquel Ramos
   dos Santos, Irani
TI Resilience of Hydrologic Similarity Areas to extreme climate change
   scenarios in an urban watershed
SO URBAN WATER JOURNAL
LA English
DT Article
DE AquaCycle; urban water balance; future climate
ID MODEL; STRATEGIES; STREAMFLOW; BALANCE
AB The water balance resilience to extreme climate change scenarios in Hydrologic Similarity Areas (HSA) is evaluated in the Belem catchment, Brazil. We used HadGEM2-ES statistically downscaled with the CMhyd tool under the Representative Concentration Pathways (RCPs) 2.6 and 8.5 to simulate climate scenarios. The AquaCycle model was used to simulate effects on the water balance. Climate modeling results show an increase in annual precipitation and average temperature, decreased rainy days, and increasing extremes. The water balance modeling demonstrated that the HSAs with higher percentages of impermeable surfaces present greater surface runoff and lower levels of infiltration and actual evapotranspiration increment in both RCP2.6 and RCP8.5. The differences among the HSA responses in the water balance are even more evident when analyzing the extreme events data series. Thereby, the results demonstrate that impermeable areas are less resilient to extreme events provided by climate change scenarios.
C1 [de Carvalho, Juliana Wilse Landolfi Teixeira; Iensen, Isabela Raquel Ramos; dos Santos, Irani] Univ Fed Parana, Dept Geog, Hydrogeomorphol Lab, Curitiba, Parana, Brazil.
C3 Universidade Federal do Parana
RP de Carvalho, JWLT (corresponding author), Univ Fed Parana, Dept Geog, Hydrogeomorphol Lab, Curitiba, Parana, Brazil.
EM ju_wlt@hotmail.com
OI Landolfi Teixeira de Carvalho, Juliana Wilse/0000-0002-7095-8228
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
   [40001016035P1]
FX This work was supported by the Coordenacao de Aperfeicoamento de Pessoal
   de Nivel Superior (CAPES) [40001016035P1].
CR Ambrizzi T., 2014, CLIMATE CHANGE 2014
   [Anonymous], 2010, Census 2010
   [Anonymous], 2016, World cities report 2016-urbanization and development: emerging futures
   [Anonymous], 2018, The United Nations World Water Development Report 2018: Nature -based solutions for water
   Asadieh B, 2017, HYDROL EARTH SYST SC, V21, P5863, DOI 10.5194/hess-21-5863-2017
   Brembatti K., 2014, GAZETA POVO
   Carvalho J. W. L. T., 2021, Revista Caminhos da Geografia, V22, P149, DOI [10.14393/RCG227953860, DOI 10.14393/RCG227953860]
   Carvalho J.W.L.T., 2020, REV DEP GEOGRAFIA, V40, P163, DOI [10.11606/rdg.v40i0.162247, DOI 10.11606/RDG.V40I0.162247]
   Chenevey Benjamin, 2013, World Environmental and Water Resources Congress 2013. Showcasing the Future. Proceedings of the 2013 Congress, P2625
   Collins WJ, 2011, GEOSCI MODEL DEV, V4, P1051, DOI 10.5194/gmd-4-1051-2011
   Curitiba, 2015, PREFEITURA MUNICIPAL
   Curitiba Prefeitura., 2013, PLANO MUNICIPAL SANE
   Duong TTH, 2011, URBAN WATER J, V8, P103, DOI 10.1080/1573062X.2010.546861
   ETCCDMI - Expert Team on Climate Change Detection Monitoring and Indices, 2009, GUID AN EXTR CHANG C
   Fendrich R., 2002, DIAGNOSTICO RECURSOS, V1st
   Fortin G., 2020, 33 C ASS INT CLIM 20
   Goudard G., 2020, IDEES AM, V15, DOI [10.4000/ideas.8082, DOI 10.4000/IDEAS.8082]
   Goudard G., 2019, THESIS U FEDERAL PAR, P234
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   ICLEI-BRASIL, 2016, CUR AC ESTR CLIM RES
   Intergovernmental Panel on Climate Change, 2018, GLOB WARM 1 5 C, DOI [DOI 10.1017/9781009157940, 10.1017/9781009157940]
   IPPUC - Instituto de Pesquisas e Planejamento Urbano de Curitiba, 2016, GEOPR SHAP CUR
   Lee J, 2010, J ENVIRON SCI-CHINA, V22, P923, DOI 10.1016/S1001-0742(09)60199-6
   Lekkas DF, 2008, GLOBAL NEST J, V10, P310
   Lindley SJ, 2006, J RISK RES, V9, P543, DOI 10.1080/13669870600798020
   Lohmann M, 2013, REV CIENCIA GEOGRAFI, V17, P135
   Martin GM, 2011, GEOSCI MODEL DEV, V4, P723, DOI 10.5194/gmd-4-723-2011
   Mejía A, 2014, WATER RESOUR RES, V50, P1984, DOI 10.1002/2013WR014834
   Mitchell VG, 2008, HYDROL PROCESS, V22, P2891, DOI 10.1002/hyp.6868
   Mitchell V.G., 2005, AQUACYCLE USER GUIDE
   Mitchell VG, 2005, WATER SCI TECHNOL, V52, P91, DOI 10.2166/wst.2005.0435
   Mitchell VG, 2001, ENVIRON MODELL SOFTW, V16, P615, DOI 10.1016/S1364-8152(01)00029-9
   Nagendra H, 2018, NAT SUSTAIN, V1, P341, DOI 10.1038/s41893-018-0101-5
   Rathjens H., 2016, CMHYD USER MANUAL DO, V16
   SANEPAR - Companhia de Saneamento do Parana, 2012, CAD TECN
   SUDERSHA - Superintendencia de Desenvolvimento de Recursos Hidricos e Saneamento, 2002, PLAN DIR DREN BAC RI
   Teutschbein C, 2012, J HYDROL, V456, P12, DOI 10.1016/j.jhydrol.2012.05.052
   TUCCI C., 2007, Inundacoes Urbanas. Ed
   UNESCO World Water Assessment Programme, 2020, UN World Water Development Report 2024, P219, DOI 10.5281/zenodo.4132263
   Versini PA, 2018, LANDSCAPE URBAN PLAN, V173, P60, DOI 10.1016/j.landurbplan.2018.02.001
NR 40
TC 10
Z9 10
U1 0
U2 20
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-062X
EI 1744-9006
J9 URBAN WATER J
JI Urban Water J.
PD NOV 26
PY 2021
VL 18
IS 10
BP 817
EP 828
DI 10.1080/1573062X.2021.1941136
EA JUN 2021
PG 12
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA XW1FR
UT WOS:000664173200001
DA 2025-04-22
ER

PT J
AU Qelichi, MM
   Ghasemi, K
   Tepe, E
   Murgante, B
AF Qelichi, Mohamad Molaei
   Ghasemi, Kimia
   Tepe, Emre
   Murgante, Beniamino
TI Mapping Trends in Urban Livability Research: A Comprehensive
   Bibliometric Analysis
SO JOURNAL OF PLANNING LITERATURE
LA English
DT Article; Early Access
DE urban livability; sustainable development; bibliometric analysis;
   mapping trends; VOS viewer; bibliometric R-package
ID CONSTRUCTION; SCIENCE; URBANIZATION; SATISFACTION; FIELD
AB This study investigates the evolving landscape of urban livability research through a bibliometric analysis, addressing key research questions such as the development of thematic clusters and the identification of emerging trends in the field. Using advanced tools like VOSviewer and the bibliometrics R-package, we analyzed data from the Web of Science to uncover significant focus areas, influential authors, and collaboration networks. The findings reveal a marked increase in urban livability publications since 2011, highlighting the growing academic interest in this area. We identified four major thematic clusters-Motor Themes, Niche Themes, Emerging or Declining Themes, and Basic Themes-that provide a structured understanding of the research field. The study also emphasizes the prominent role of countries like the United States and China in advancing urban livability research. Additionally, emerging concepts such as "resilience" are highlighted as key areas for future exploration. This research offers valuable insights for scholars, policymakers, and urban planners, guiding future investigations and contributing to the ongoing discourse on urban livability.
C1 [Qelichi, Mohamad Molaei] Inst Humanities & Cultural Studies, Fac Encyclopedia Res, Tehran, Iran.
   [Ghasemi, Kimia] Islamic Azad Univ, Fac Humanities & Social Sci, Sci & Res Branch, Tehran, Iran.
   [Tepe, Emre] Univ Florida, Fac Design Construct & Planning, Gainesville, FL USA.
   [Murgante, Beniamino] Univ Basilicata, Fac Engn, Potenza, Italy.
C3 Islamic Azad University; State University System of Florida; University
   of Florida; University of Basilicata
RP Ghasemi, K (corresponding author), Islamic Azad Univ, Fac Humanities & Social Sci, Sci & Res Branch, Tehran, Iran.
EM kimia.ghasemi@iau.ac.ir
RI Murgante, Beniamino/B-4049-2016; Qelichi, Mohamad/Q-1949-2019; Ghasemi,
   Kimia/AAF-7130-2020
OI Tepe, Emre/0000-0001-8575-2401
CR Ahmed NO, 2019, EUR J SUSTAIN DEV, V8, P165, DOI 10.14207/ejsd.2019.v8n1p165
   Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
   Börner K, 2003, ANNU REV INFORM SCI, V37, P179, DOI 10.1002/aris.1440370106
   Capitanio M., 2018, World Journal of Social Science, V5, P12, DOI DOI 10.5430/WJSS.V5N1P12
   Chen MX, 2018, CITIES, V78, P180, DOI 10.1016/j.cities.2018.02.012
   Cobo MJ, 2011, J AM SOC INF SCI TEC, V62, P1382, DOI 10.1002/asi.21525
   Cobo MJ, 2011, J INFORMETR, V5, P146, DOI 10.1016/j.joi.2010.10.002
   Cuccurullo C, 2016, SCIENTOMETRICS, V108, P595, DOI 10.1007/s11192-016-1948-8
   Department of Economic and Social Affairs, 2023, SDG Indicators
   Ewing R, 2009, J URBAN DES, V14, P65, DOI 10.1080/13574800802451155
   Gawlak A, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18094519
   Ghasemi K., 2016, Research and Urban Planning, V7, P159
   Ghasemi K, 2024, J URBAN MANAG, V13, P596, DOI 10.1016/j.jum.2024.06.005
   Ghasemi K, 2022, ECOL INDIC, V144, DOI 10.1016/j.ecolind.2022.109455
   Gong P, 2012, LANCET, V379, P843, DOI 10.1016/S0140-6736(11)61878-3
   Hagerty MR, 2001, SOC INDIC RES, V55, P1, DOI 10.1023/A:1010811312332
   Hammersley M, 2001, BRIT EDUC RES J, V27, P543, DOI 10.1080/01411920120095726
   Hosseini MR, 2018, AUTOMAT CONSTR, V87, P235, DOI 10.1016/j.autcon.2017.12.002
   Hu GH, 2020, LANDSCAPE ECOL, V35, P2487, DOI 10.1007/s10980-020-01073-x
   Jenks M. J., 2000, Compact Cities: Sustainable Urban Forms for Developing Countries
   Kaal Harm, 2011, City, V15, P532, DOI DOI 10.1080/13604813.2011.595094
   Kashef M, 2016, FRONT ARCHIT RES, V5, P239, DOI 10.1016/j.foar.2016.03.003
   Kovacs-Györi A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11184934
   Lin B, 2015, URBAN FOR URBAN GREE, V14, P952, DOI 10.1016/j.ufug.2015.09.003
   Markoulli MP, 2017, HUM RESOUR MANAGE R, V27, P367, DOI 10.1016/j.hrmr.2016.10.001
   McCann EJ, 2007, INT J URBAN REGIONAL, V31, P188, DOI 10.1111/j.1468-2427.2007.00713.x
   Mehaffy M., 2020, New Urbanism in the New Urban Agenda: Threads of an Unfinished Reformation
   Meho LI, 2007, J AM SOC INF SCI TEC, V58, P2105, DOI 10.1002/asi.20677
   Merigó JM, 2015, APPL SOFT COMPUT, V27, P420, DOI 10.1016/j.asoc.2014.10.035
   Meshkini A., 2015, Geographic Space, V14, P41
   Meshkini A., 2012, Regional Planning, V2, P1
   Mouratidis K., 2018, Journal of Urbanism: International Research on Placemaking and Urban Sustainability, V11, P24, DOI DOI 10.1080/17549175.2017.1310749
   Mouratidis K, 2020, TRAVEL BEHAV SOC, V21, P265, DOI 10.1016/j.tbs.2020.07.006
   Newman PWG, 1999, LANDSCAPE URBAN PLAN, V44, P219, DOI 10.1016/S0169-2046(99)00009-2
   Newton PW, 2012, J URBAN TECHNOL, V19, P81, DOI 10.1080/10630732.2012.626703
   Okulicz-Kozaryn A, 2019, APPL RES QUAL LIFE, V14, P197, DOI 10.1007/s11482-017-9587-7
   Paul A, 2018, CITIES, V74, P142, DOI 10.1016/j.cities.2017.11.015
   Ruth M, 2014, APPL GEOGR, V49, P18, DOI 10.1016/j.apgeog.2013.09.018
   Sheikh WT, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103972
   Tabrizi J., 2013, Research and Urban Planning, V4, P19
   Tonne C, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106236
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   van Kamp Irene, 2003, Landscape and Urban Planning, V65, P5, DOI 10.1016/S0169-2046(02)00232-3
   van Nunen K, 2018, SAFETY SCI, V108, P248, DOI 10.1016/j.ssci.2017.08.011
   Wheeler S., 2001, Livable communities: Creating safe and livable neighborhoods, towns, and regions in California
   Wuni IY, 2019, ENERG BUILDINGS, V190, P69, DOI 10.1016/j.enbuild.2019.02.010
   Xiao Y, 2022, ECOL INDIC, V140, DOI 10.1016/j.ecolind.2022.108995
   Zhan DS, 2018, CITIES, V79, P92, DOI 10.1016/j.cities.2018.02.025
   Zupic I, 2015, ORGAN RES METHODS, V18, P429, DOI 10.1177/1094428114562629
NR 49
TC 0
Z9 0
U1 2
U2 2
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0885-4122
EI 1552-6593
J9 J PLAN LIT
JI J. Plan. Lit.
PD 2025 MAR 11
PY 2025
DI 10.1177/08854122241312181
EA MAR 2025
PG 15
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA 0BY8A
UT WOS:001443738200001
DA 2025-04-22
ER

PT J
AU Wen, LH
   Zhou, W
   Liu, JJ
   Ren, G
   Zhang, N
AF Wen, Longhui
   Zhou, Wei
   Liu, Jiajun
   Ren, Gang
   Zhang, Ning
TI Real-Time Optimization of Urban Rail Transit Train Scheduling via
   Advantage Actor-Critic Deep Reinforcement Learning
SO JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
LA English
DT Article
DE Urban rail transit (URT); Advantage actor-critic (A2C); Deep
   reinforcement learning; Train scheduling
ID ALGORITHMS; OPERATION; DEMAND; MODEL
AB Under the condition of urban rail transit uncertainty of passenger demand and the high frequency of departure intervals, this study presents an innovative real-time urban rail transit (URT) train service scheduling control framework. In the context of a bidirectional urban rail transit line, a high-fidelity urban rail transit simulation environment was constructed. Within this environment, an advantage actor-critic (A2C) reinforcement learning approach was utilized to train a suitable strategy aimed at minimizing both passenger waiting costs and transit authority operational expenses. Subject to specific constraints, the strategy is designed to generate real-time train schedule based on the representation of traffic state using station congestion levels and train positions. Experimental results on Lines 3 and S7 of Nanjing Metro demonstrated the agent's effectiveness in achieving high-performance schedules across various scenarios. This research integrates deep reinforcement learning into the optimization of dynamic traffic systems, showing great potential for enhancing the efficiency and resilience of urban transport systems.
C1 [Wen, Longhui; Zhou, Wei; Liu, Jiajun; Zhang, Ning] Southeast Univ, Intelligent Transportat Syst Res Ctr, 2 Southeast Univ Rd, Nanjing 211189, Peoples R China.
   [Ren, Gang] Southeast Univ, Sch Transportat, 2 Southeast Univ Rd, Nanjing 211189, Peoples R China.
C3 Southeast University - China; Southeast University - China
RP Zhang, N (corresponding author), Southeast Univ, Intelligent Transportat Syst Res Ctr, 2 Southeast Univ Rd, Nanjing 211189, Peoples R China.
EM w-lh@seu.edu.cn; vvgod@seu.edu.cn; yrudrelll@aa.seu.edu.cn;
   rengang@seu.edu.cn; ningzhang1972@seu.edu.cn
RI Zhou, Wei/AAG-8797-2020
OI Zhou, Wei/0000-0003-3225-0576
CR Bertsekas D., 2019, Reinforcement Learning and Optimal Control
   Chang CS, 2004, LECT NOTES ARTIF INT, V3339, P803
   Chu WJ, 2016, ADV MECH ENG, V8, DOI 10.1177/1687814016672427
   Guo YD, 2021, J TRANSP ENG A-SYST, V147, DOI 10.1061/JTEPBS.0000473
   He DQ, 2021, J TRANSP ENG A-SYST, V147, DOI 10.1061/JTEPBS.0000546
   Jamili A, 2012, ENG APPL ARTIF INTEL, V25, P793, DOI 10.1016/j.engappai.2012.01.020
   Jiang M, 2023, Arxiv, DOI arXiv:2306.08343
   Kroon LG, 2003, TRANSPORT SCI, V37, P198, DOI 10.1287/trsc.37.2.198.15247
   Li DW, 2022, J TRANSP ENG A-SYST, V148, DOI 10.1061/JTEPBS.0000590
   Li WQ, 2022, TRANSPORT RES B-METH, V157, P230, DOI 10.1016/j.trb.2022.02.006
   Liebchen C, 2008, LECT NOTES ECON MATH, V600, P151
   Lu J, 2020, J TRANSP ENG A-SYST, V146, DOI 10.1061/JTEPBS.0000304
   Niu HM, 2013, TRANSPORT RES C-EMER, V36, P212, DOI 10.1016/j.trc.2013.08.016
   Odijk MA, 1996, TRANSPORT RES B-METH, V30, P455, DOI 10.1016/0191-2615(96)00005-7
   Pavlides A, 2018, TRANSPORT RES REC, V2672, P255, DOI 10.1177/0361198118777629
   Qin BZ, 2024, TRANSPORT RES REC, V2678, P288, DOI 10.1177/03611981231189500
   Samà M, 2016, TRANSPORT RES B-METH, V85, P89, DOI 10.1016/j.trb.2016.01.005
   Serafini Paolo, 1989, SIAM Journal on Discrete Mathematics, V2, P550, DOI DOI 10.1137/0402049
   Sparing D, 2017, TRANSPORT RES B-METH, V98, P198, DOI 10.1016/j.trb.2016.12.020
   Su BY, 2020, IEEE INT C INTELL TR, DOI 10.1109/itsc45102.2020.9294514
   Sun YS, 2016, J TRANSP ENG, V142, DOI 10.1061/(ASCE)TE.1943-5436.0000812
   Sutton RS, 2018, ADAPT COMPUT MACH LE, P1
   Tang RF, 2022, TRANSPORT RES C-EMER, V140, DOI 10.1016/j.trc.2022.103679
   Tormos P, 2008, STUD COMPUT INTELL, V128, P255
   Wang JD, 2021, J TRANSP ENG A-SYST, V147, DOI 10.1061/JTEPBS.0000568
   Wang YY, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-7682
   Yang LX, 2016, OMEGA-INT J MANAGE S, V64, P57, DOI 10.1016/j.omega.2015.11.003
   Yang XX, 2023, PHYSICA A, V609, DOI 10.1016/j.physa.2022.128325
   Yin JT, 2017, TRANSPORT RES C-EMER, V85, P548, DOI 10.1016/j.trc.2017.09.009
   Ying CS, 2022, IEEE T INTELL TRANSP, V23, P6895, DOI 10.1109/TITS.2021.3063399
   Ying CS, 2020, TRANSPORT RES B-METH, V140, P210, DOI 10.1016/j.trb.2020.08.005
   Zhang TY, 2018, APPL MATH MODEL, V58, P421, DOI 10.1016/j.apm.2018.02.013
   Zhou HS, 2022, TRANSPORT RES C-EMER, V140, DOI 10.1016/j.trc.2022.103708
   Zhu W, 2020, J TRANSP ENG A-SYST, V146, DOI 10.1061/JTEPBS.0000375
   Zhu ZJ, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-7808
NR 35
TC 2
Z9 2
U1 47
U2 70
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 2473-2907
EI 2473-2893
J9 J TRANSP ENG A-SYST
JI J. Transp. Eng. Pt A-Syst.
PD SEP 1
PY 2024
VL 150
IS 9
AR 04024046
DI 10.1061/JTEPBS.TEENG-8407
PG 10
WC Engineering, Civil; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Transportation
GA YH1M7
UT WOS:001267506000008
DA 2025-04-22
ER

PT J
AU Grafius, DR
   Hall, S
   McHugh, N
   Edmondson, JL
AF Grafius, Darren R.
   Hall, Stephen
   McHugh, Nicola
   Edmondson, Jill L.
TI How much heat can we grow in our cities? Modelling UK urban biofuel
   production potential
SO GLOBAL CHANGE BIOLOGY BIOENERGY
LA English
DT Article
DE land-use; Miscanthus; poplar; resilience; short rotation coppice;
   sustainability; willow
ID SHORT-ROTATION COPPICE; ENERGY CROPS; BIOENERGY CROPS; RENEWABLE ENERGY;
   BIOMASS; CARBON; FUTURE; COSTS; WASTE; WATER
AB Biofuel provides a globally significant opportunity to reduce fossil fuel dependence; however, its sustainability can only be meaningfully explored for individual cases. It depends on multiple considerations including: life cycle greenhouse gas emissions, air quality impacts, food versus fuel trade-offs, biodiversity impacts of land use change and socio-economic impacts of energy transitions. One solution that may address many of these issues is local production of biofuel on non-agricultural land. Urban areas drive global change, for example, they are responsible for 70% of global energy use, but are largely ignored in their resource production potential; however, underused urban greenspaces could be utilized for biofuel production near the point of consumption. This could avoid food versus fuel land conflicts in agricultural land and long-distance transport costs, provide ecosystem service benefits to urban dwellers and increase the sustainability and resilience of cities and towns. Here, we use a Geographic Information System to identify urban greenspaces suitable for biofuel production, using exclusion criteria, in 10 UK cities. We then model production potential of three different biofuels: Miscanthus grass, short rotation coppice (SRC) willow and SRC poplar, within the greenspaces identified and extrapolate up to a UK-scale. We demonstrate that approximately 10% of urban greenspace (3% of built-up land) is potentially suitable for biofuel production. We estimate the potential of this to meet energy demand through heat generation, electricity and combined heat and power (CHP) operations. Our findings show that, if fully utilized, urban biofuel production could meet nearly a fifth of demand for biomass in CHP systems in the United Kingdom's climate compatible energy scenarios by 2030, with potentially similar implications for other comparable countries and regions.
C1 [Grafius, Darren R.; McHugh, Nicola; Edmondson, Jill L.] Univ Sheffield, Dept Anim & Plant Sci, Sheffield, S Yorkshire, England.
   [Hall, Stephen] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England.
   [McHugh, Nicola] Sheffield City Council, Business Intelligence Team, Sheffield, S Yorkshire, England.
C3 University of Sheffield; University of Leeds
RP Grafius, DR (corresponding author), Univ Sheffield, Dept Anim & Plant Sci, Western Bank, Sheffield S10 2TN, S Yorkshire, England.
EM d.grafius@sheffield.ac.uk
RI Grafius, Darren/H-6685-2019; McHugh, Noirin/R-4668-2016
OI Edmondson, Jill/0000-0002-3623-4816; Grafius,
   Darren/0000-0002-6833-4993; Hall, Stephen/0000-0002-1558-7081
FU Engineering and Physical Sciences Research Council [R/144905-11-1];
   EPSRC [EP/N030095/1, EP/N029488/1] Funding Source: UKRI
FX Engineering and Physical Sciences Research Council, Grant/Award Number:
   R/144905-11-1
CR Adams PWR, 2016, RENEW SUST ENERG REV, V55, P188, DOI 10.1016/j.rser.2015.10.126
   Alexander P, 2014, GCB BIOENERGY, V6, P156, DOI 10.1111/gcbb.12148
   [Anonymous], 2008, GALL REV IND EFF BIO
   [Anonymous], 2013, ArcGIS
   [Anonymous], 2018, Future Energy Scenarios
   [Anonymous], 2018, WORLD URBANIZATION P
   Aylott MJ, 2010, BIOFUELS-UK, V1, P719, DOI 10.4155/BFS.10.30
   Bauen AW, 2010, BIORESOURCE TECHNOL, V101, P8132, DOI 10.1016/j.biortech.2010.05.002
   BEIS, 2018, UK NAT STAT
   Bellarby J, 2010, BIOMASS BIOENERG, V34, P1935, DOI 10.1016/j.biombioe.2010.08.009
   Beninde J, 2015, ECOL LETT, V18, P581, DOI 10.1111/ele.12427
   Bikkina S, 2019, NAT SUSTAIN, V2, P200, DOI 10.1038/s41893-019-0219-0
   Blanco-Canqui H, 2016, SOIL SCI SOC AM J, V80, P845, DOI 10.2136/sssaj2016.03.0080
   Caputo J, 2014, BIOENERG RES, V7, P48, DOI 10.1007/s12155-013-9347-y
   Centre for Sustainable Energy, 2012, M KEYN EN MAPP PROJ
   Chiesura A, 2004, LANDSCAPE URBAN PLAN, V68, P129, DOI 10.1016/j.landurbplan.2003.08.003
   Clark G., 2019, PM THERESA MAY WE WI
   CoDyre M, 2015, URBAN FOR URBAN GREE, V14, P72, DOI 10.1016/j.ufug.2014.11.001
   Cunniff J, 2015, BIOMASS BIOENERG, V80, P114, DOI 10.1016/j.biombioe.2015.04.020
   De Groote T, 2015, GEOSCI MODEL DEV, V8, P1461, DOI 10.5194/gmd-8-1461-2015
   Dobbs C, 2011, LANDSCAPE URBAN PLAN, V99, P196, DOI 10.1016/j.landurbplan.2010.11.004
   Dockerty T, 2012, J ENVIRON PLANN MAN, V55, P1134, DOI 10.1080/09640568.2011.636966
   Dutta A, 2019, BIOFUEL BIOPROD BIOR, V13, P48, DOI 10.1002/bbb.1931
   Edmondson JL, 2019, PLANTS PEOPLE PLANET, V1, P93, DOI 10.1002/ppp3.20
   Edmondson JL, 2014, J APPL ECOL, V51, P880, DOI 10.1111/1365-2664.12254
   Edmondson JL, 2011, BIOL LETTERS, V7, P771, DOI 10.1098/rsbl.2011.0260
   Energy Crops Scheme, 2013, EN CROPS SCHEM EST G
   European Commission, 2014, 2030 CLIM EN FRAM CO
   Fajardy M, 2017, ENERG ENVIRON SCI, V10, P1389, DOI [10.1039/C7EE00465F, 10.1039/c7ee00465f]
   Fiala M, 2012, BIOMASS BIOENERG, V42, P107, DOI 10.1016/j.biombioe.2011.07.004
   Forest Research, 2018, POT YIELDS BIOF PER
   Forest Research, 2017, BIOM HEAT BUILD DIFF
   FOSTER C, 1993, ENERG CONVERS MANAGE, V34, P897, DOI 10.1016/0196-8904(93)90034-8
   Foxon TJ, 2013, ENERG POLICY, V52, P10, DOI 10.1016/j.enpol.2012.04.001
   Grafius DR, 2018, LANDSCAPE ECOL, V33, P557, DOI 10.1007/s10980-018-0618-z
   Grafius DR, 2017, LANDSCAPE ECOL, V32, P1771, DOI 10.1007/s10980-017-0548-1
   Grogan P, 2002, SOIL USE MANAGE, V18, P175, DOI [10.1111/j.1475-2743.2002.tb00237.x, 10.1079/SUM2002119]
   Hanna R., 2016, Best Practice in Heat Decarbonisation Policy: A review of the international experience of policies to promote the uptake of lowcarbon heat supply
   Hastings A, 2014, GCB BIOENERGY, V6, P108, DOI 10.1111/gcbb.12103
   International Energy Agency, 2018, WORLD EN OUTL
   Kekana M., 2019, PROPOSAL IPCC SPECIA
   Landmap; Bluesky, 2014, COL INFR CIR DAT ENG
   Langholtz M, 2019, BIOFUEL BIOPROD BIOR, V13, P74, DOI 10.1002/bbb.1939
   Leicester City Council, 2017, LEIC SUST ACT PLAN
   Liverpool City Region Local Enterprise Partnership  ARUP  Climate Change Local Area Support Programme (CLASP)  & Service M. E. A, 2012, LIV CIT REG SUST EN
   Markvart T., 2003, Practical Handbook of Photovoltaics: Fundamentals and Applications
   Martellozzo F, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/6/064025
   McDonnell MJ, 2016, SCIENCE, V352, P936, DOI 10.1126/science.aaf3630
   McHugh N, 2015, J APPL ECOL, V52, P1237, DOI 10.1111/1365-2664.12491
   Millinger M, 2019, TRANSPORT RES D-TR E, V69, P265, DOI 10.1016/j.trd.2019.02.005
   Millward-Hopkins J, 2019, ENERG POLICY, V129, P168, DOI 10.1016/j.enpol.2019.02.019
   Ministry of Housing Communities and Local Government, 2016, LIV TABL DWELL STOCK
   Minshull A, 2015, OUR RESILIENT FUTURE
   National Records of Scotland, 2017, EST HOUS DWELL SCOTL
   Newcastle City Council, 2010, CIT CLIM CHANG STRAT
   Norton B A., 2016, Current Landscape Ecology Reports, V1, P178, DOI [10.1007/s40823-016-0018-5, DOI 10.1007/S40823-016-0018-5]
   Nottingham City Council, 2010, EN STRAT 2010 2020
   O'Sullivan OS, 2017, J ENVIRON MANAGE, V191, P162, DOI 10.1016/j.jenvman.2016.12.062
   Oliveira GDT, 2017, ENERG POLICY, V108, P765, DOI 10.1016/j.enpol.2017.03.036
   ONS, 2011, BUILT AR SUBD DEC 20
   Ordnance Survey (GB), 2017, OS MASTERMAP TOP LAY
   Parra-Lopez C, 2017, RENEW ENERG, V114, P781, DOI 10.1016/j.renene.2017.07.098
   Pecenka R., 2015, Agronomy Research, V13, P361
   Raman S, 2015, BIOMASS BIOENERG, V82, P49, DOI 10.1016/j.biombioe.2015.04.022
   Read H., 2006, BRIEF REV POLLARDS P
   Rowe RL, 2009, RENEW SUST ENERG REV, V13, P271, DOI 10.1016/j.rser.2007.07.008
   Rowland C., 2017, LAND COVER MAP 2015, V10
   Sage R, 2006, IBIS, V148, P184, DOI 10.1111/j.1474-919X.2006.00522.x
   SAUNDERS DA, 1991, CONSERV BIOL, V5, P18, DOI 10.1111/j.1523-1739.1991.tb00384.x
   Schmidt-Walter P, 2014, AGR FOREST METEOROL, V195, P165, DOI 10.1016/j.agrformet.2014.05.006
   Sheffield City Council, 2005, GREEN CIT STRAT
   Sims REH, 2004, BIOMASS BIOENERG, V26, P27, DOI 10.1016/S0961-9534(03)00081-3
   Smith J, 2012, RENEW AGR FOOD SYST, V27, P323, DOI 10.1017/S1742170511000597
   Southampton City Council, 2011, SOUTH LOW CARB CIT 2
   StatsWales, 2016, DWELL STOCK EST LOC
   Strohbach MW, 2012, LANDSCAPE URBAN PLAN, V104, P220, DOI 10.1016/j.landurbplan.2011.10.013
   Sugiura A, 2008, WATER SCI TECHNOL, V57, P1421, DOI 10.2166/wst.2008.240
   Swansea City Council, 2016, CIT COUNT SWANS EN S
   Tallis MJ, 2013, GCB BIOENERGY, V5, P53, DOI 10.1111/j.1757-1707.2012.01191.x
   The City of Edinburgh Council, 2015, POW CHANG ED SUST EN
   Thomson H, 2015, RENEW SUST ENERG REV, V42, P1362, DOI 10.1016/j.rser.2014.11.009
   Thornley P, 2015, BIOMASS BIOENERG, V81, P35, DOI 10.1016/j.biombioe.2015.05.002
   United Nations Framework Convention on Climate Change (UNFCCC), 2016, REP C PART COP 21, V01192
   Upham P, 2007, ENERG POLICY, V35, P5549, DOI 10.1016/j.enpol.2007.05.026
   Velázquez-Martí B, 2018, RENEW ENERG, V129, P629, DOI 10.1016/j.renene.2018.06.050
   Vinson A., 2011, SOUTHAMPTON LIB DEMS
   Wang SF, 2014, GCB BIOENERGY, V6, P136, DOI 10.1111/gcbb.12123
   Yang XL, 2019, FIELD CROP RES, V234, P1, DOI 10.1016/j.fcr.2019.02.003
   Yang Y, 2017, APPL ENERG, V191, P639, DOI 10.1016/j.apenergy.2017.02.004
NR 89
TC 4
Z9 4
U1 3
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-1693
EI 1757-1707
J9 GCB BIOENERGY
JI GCB Bioenergy
PD JAN
PY 2020
VL 12
IS 1
BP 118
EP 132
DI 10.1111/gcbb.12655
EA OCT 2019
PG 15
WC Agronomy; Biotechnology & Applied Microbiology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels
GA LX7IJ
UT WOS:000492588200001
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Plyushteva, A
   Schwanen, T
AF Plyushteva, Anna
   Schwanen, Tim
TI "We usually have a bit of flood once a week": conceptualising the
   infrastructural rhythms of urban floods in Malate, Manila
SO URBAN GEOGRAPHY
LA English
DT Article
DE Urban floods; infrastructure; infrastructural relations; rhythm and
   entrainment; Manila; Philippines
ID WATER; VULNERABILITY; POLITICS; DISASTER; RESILIENCE; MANAGEMENT;
   ECOLOGY; CITIES; FLOWS
AB In Malate, a district of Manila, flooding is a frequent occurrence. This paper draws on in-depth interviews with Malate inhabitants to approach urban floods as more than discrete disastrous episodes which interfere with a pre-existing normality. The paper employs a Levebvrian conceptualisation of rhythm and entrainment, while also offering reflections on the limits of its relevance to global South cities. Theorised from Malate, urban floods point to the mutual constitution of the social-technical-natural relations of urban infrastructures, and the on-going disruptive rhythms of floodwater. We argue that the rhythms of floodwater can be glimpsed at the intersections of different yet interrelated urban infrastructures. We focus on the infrastructures identified by research participants as pertinent to flood risk in Malate: drainage, waste management, and mobility. By tracing the spatial intersections and temporal rhythms of infrastructurally mediated urban floods, this paper contributes to scholarship on the situated hydrosocial relations of everyday life.
C1 [Plyushteva, Anna; Schwanen, Tim] Univ Oxford, Sch Geog & Environm, Transport Studies Unit, South Parks Rd, Oxford OX1 3QY, England.
C3 University of Oxford
RP Plyushteva, A (corresponding author), Univ Oxford, Sch Geog & Environm, Transport Studies Unit, South Parks Rd, Oxford OX1 3QY, England.
EM Anna.Plyushteva@ouce.ox.ac.uk
RI Schwanen, Tim/ABE-6070-2021
OI Plyushteva, Anna/0000-0002-0701-1525
FU Newton Fund for a project entitled Sustainable Cities and Resilient
   Transport [172718513]
FX The work reported in this paper was supported by Institutional Links
   grant 172718513 from the Newton Fund for a project entitled Sustainable
   Cities and Resilient Transport (2015-2017) undertaken by researchers at
   the University of Oxford, De La Salle University, University College
   London, and Clean Air Asia.
CR Abad RPB, 2020, TRAVEL BEHAV SOC, V18, P46, DOI 10.1016/j.tbs.2019.10.001
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Ajibade I, 2013, GLOBAL ENVIRON CHANG, V23, P1714, DOI 10.1016/j.gloenvcha.2013.08.009
   Alves SN, 2021, ENVIRON PLAN C-POLIT, V39, P247, DOI 10.1177/2399654419875748
   Anand N, 2012, ETHNOGRAPHY, V13, P487, DOI 10.1177/1466138111435743
   Anand N, 2011, CULT ANTHROPOL, V26, P542, DOI 10.1111/j.1548-1360.2011.01111.x
   Anand Nikhil., 2017, HYDRAULIC CITY WATER
   [Anonymous], 2016, PHILIPPINE STAR 0918
   Aquino AlbertP., 2013, ECOLOGICAL SOLID WAS
   Asis Maruja., 2006, ASIAN POPUL STUD, V2, P45, DOI [DOI 10.1080/17441730600700556, 10.1080/17441730600700556, https://doi.org/10.1080/17441730600700556]
   Bakker K, 2013, ENVIRON PLANN D, V31, P280, DOI 10.1068/d5111
   Bankoff G, 2003, DISASTERS, V27, P224, DOI 10.1111/1467-7717.00230
   Batubara B, 2018, ANTIPODE, V50, P1186, DOI 10.1111/anti.12401
   Bernardo EC, 2008, ANN NY ACAD SCI, V1140, P420, DOI 10.1196/annals.1454.016
   Bharti AR, 2003, LANCET INFECT DIS, V3, P757, DOI 10.1016/S1473-3099(03)00830-2
   Bicksler R, 2019, URBAN GEOGR, V40, P257, DOI 10.1080/02723638.2018.1534568
   Blue S, 2019, TIME SOC, V28, P922, DOI 10.1177/0961463X17702165
   Carse A, 2012, SOC STUD SCI, V42, P539, DOI 10.1177/0306312712440166
   Choi N, 2016, URBAN STUD, V53, P577, DOI 10.1177/0042098014543032
   City Government of Makati City, 2013, PROF MAK CIT
   Cousins JJ, 2017, POLIT GEOGR, V60, P34, DOI 10.1016/j.polgeo.2017.04.002
   Cousins JJ, 2015, GEOFORUM, V58, P38, DOI 10.1016/j.geoforum.2014.10.011
   Cresswell T, 2010, ENVIRON PLANN D, V28, P17, DOI 10.1068/d11407
   Delfin FG, 2008, PUBLIC ADMIN DEVELOP, V28, P190, DOI 10.1002/pad.493
   Di Baldassarre G, 2013, HYDROL EARTH SYST SC, V17, P3295, DOI 10.5194/hess-17-3295-2013
   Dunn G, 2017, URBAN WATER J, V14, P758, DOI 10.1080/1573062X.2016.1241284
   Edensor Tim., 2010, GEOGRAPHIES RHYTHM N, P83
   Ekers M, 2008, ENVIRON PLANN D, V26, P698, DOI 10.1068/d5907
   Gandy M., 2004, CITY, V8, P363, DOI DOI 10.1080/1360481042000313509
   Gandy M, 2008, ENVIRON PLANN A, V40, P108, DOI 10.1068/a3994
   Gibert-Flutre M, 2022, ENVIRON PLAN C-POLIT, V40, P279, DOI 10.1177/23996544211020014
   Krause F, 2016, SOC NATUR RESOUR, V29, P681, DOI 10.1080/08941920.2015.1107787
   Krause F, 2016, SOC NATUR RESOUR, V29, P633, DOI 10.1080/08941920.2016.1151714
   Krause Franz., 2013, NORDIA GEOGR PUBL, V41, P57
   Lefebvre Henri., 2004, Rhythmanalysis
   Linton J, 2014, GEOFORUM, V57, P170, DOI [10.1016/j.geoforum.2013.10.008, 10.1016/j.geoforum.2014.08.003]
   Lagmay AM, 2017, J ENVIRON SCI-CHINA, V59, P39, DOI 10.1016/j.jes.2017.03.004
   McFarlane C, 2017, T I BRIT GEOGR, V42, P458, DOI 10.1111/tran.12175
   Meerow S, 2017, ENVIRON PLANN A, V49, P2649, DOI 10.1177/0308518X17723630
   Misra K., 2014, WATER ALTERNATIVES, V7
   Monstadt J, 2019, URBAN STUD, V56, P2191, DOI 10.1177/0042098019833907
   Mustafa D, 1998, ECON GEOGR, V74, P289, DOI 10.2307/144378
   *NAT STAT OFF PHIL, 2010, NAT CAP REG 2010 CEN
   Nusser M., 2017, Handbook on Geographies of Technology, P287
   PARKES D, 1979, T I BRIT GEOGR, V4, P353, DOI 10.2307/622056
   PETERSON JT, 1993, J MARRIAGE FAM, V55, P570, DOI 10.2307/353339
   Plyushteva A, 2018, GEOFORUM, V97, P131, DOI 10.1016/j.geoforum.2018.10.025
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Ranganathan M, 2015, ANTIPODE, V47, P1300, DOI 10.1111/anti.12149
   Ranganathan M, 2015, URBAN GEOGR, V36, P403, DOI 10.1080/02723638.2015.1005414
   Reid-Musson E, 2018, PROG HUM GEOG, V42, P881, DOI 10.1177/0309132517725069
   Rodolfo KS, 2006, DISASTERS, V30, P118, DOI 10.1111/j.1467-9523.2006.00310.x
   Ross A, 2020, HYDROLOG SCI J, V65, P1443, DOI 10.1080/02626667.2020.1761023
   Roy A, 2011, INT J URBAN REGIONAL, V35, P223, DOI 10.1111/j.1468-2427.2011.01051.x
   Schwanen T., 2019, Handbook of urban geography, P147
   Schwanen T, 2012, ENVIRON PLANN A, V44, P2064, DOI 10.1068/a44494
   Stevens M, 2012, J REGIONAL SCI, V52, P885, DOI 10.1111/jors.12006_6
   Sultana F, 2010, ENVIRON HAZARDS-UK, V9, P43, DOI 10.3763/ehaz.2010.SI02
   Thompson MarkR., 2016, J CURRENT SE ASIAN A, V35, P3, DOI [https://doi.org/10.1177/186810341603500301, DOI 10.1177/186810341603500301]
   Trovalla Eric., 2015, City, V19, P332, DOI DOI 10.1080/13604813.2015.1018061
   Walker G, 2011, ENVIRON PLANN A, V43, P2304, DOI 10.1068/a43253
   Wesselink A, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1196
   Wilby R.L., 2007, BUILD ENVIRON, V33, P31, DOI 10.2148/benv.33.1.31
   Zoleta-Nantes D.B., 2002, MITIG ADAPT STRAT GL, V7, P239, DOI DOI 10.1023/A:1024471412686
   Zoleta-Nantes DoracieB., 2007, SOCIAL SCI DILIMAN, V1
NR 65
TC 7
Z9 7
U1 1
U2 11
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0272-3638
EI 1938-2847
J9 URBAN GEOGR
JI Urban Geogr.
PD SEP 14
PY 2023
VL 44
IS 8
BP 1565
EP 1583
DI 10.1080/02723638.2022.2105003
EA JUL 2022
PG 19
WC Geography; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Urban Studies
GA S6FL0
UT WOS:000832925600001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Liu, JB
   Zheng, MH
   Gao, JW
   Wang, XS
   Zhang, H
   Jiang, SM
AF Liu, Junbing
   Zheng, Maohui
   Gao, Jinwei
   Wang, Xinshu
   Zhang, Hu
   Jiang, Simin
TI A Generalization of the Drainage Capacity in Data-Scarce Urban Areas: An
   Improved Equivalent Infiltration Method
SO WATER
LA English
DT Article
DE urban rainstorm waterlogging; modified equivalent infiltration method
   (MEI); drainage pipe data uncertainty; urban resilience
ID SURFACE; RUNOFF
AB This article addresses the challenge of simulating rainstorm waterlogging in urban-scale areas where reliable drainage pipe network data are often lacking. Although methods have been developed to tackle this issue, there remains a gap in their effectiveness. We present a novel approach, the modified equivalent infiltration (MEI) method, by building upon the foundation of the Equivalent Infiltration (EI) method. This study focuses on the outer ring area of Shanghai, utilizing data from the "In-Fa" typhoon period for simulation and comparison. Our findings reveal that the MEI method, requiring the same data inputs as the EI method, surpasses its predecessor in both principle and simulation results. Additionally, the MEI method demonstrates robustness in handling rainstorm waterlogging scenarios.
C1 [Liu, Junbing; Gao, Jinwei; Wang, Xinshu; Zhang, Hu; Jiang, Simin] Tongji Univ, Dept Hydraul Engn, Shanghai 200092, Peoples R China.
   [Zheng, Maohui] Tongji Univ, Shanghai Inst Disaster Prevent & Relief, Shanghai 200092, Peoples R China.
   [Zheng, Maohui; Jiang, Simin] Minist Emergency Management Peoples Republ China, Key Lab Urban Safety Risk Monitoring & Early Warni, Shanghai 200092, Peoples R China.
C3 Tongji University; Tongji University
RP Zheng, MH (corresponding author), Tongji Univ, Shanghai Inst Disaster Prevent & Relief, Shanghai 200092, Peoples R China.; Zheng, MH (corresponding author), Minist Emergency Management Peoples Republ China, Key Lab Urban Safety Risk Monitoring & Early Warni, Shanghai 200092, Peoples R China.
EM 2032668@tongji.edu.cn; zmh@tongji.edu.cn; 2132628@tongji.edu.cn;
   2232323@tongji.edu.cn; 2330744@tongji.edu.cn; jiangsimin@tongji.edu.cn
RI Jiang, Simin/F-9750-2012
OI Liu, Junbing/0009-0004-4093-9968
FU Shanghai Science and Technology Innovation Action Plan Program, China
FX The authors wish to thank the anonymous reviewers for their constructive
   comments and valuable suggestions.
CR Armson D, 2013, URBAN FOR URBAN GREE, V12, P282, DOI 10.1016/j.ufug.2013.04.001
   [常静 CHANG Jing], 2006, [地理研究, Geographical Research], V25, P994
   Barton NA, 2022, WATER SUPPLY, V22, P527, DOI 10.2166/ws.2021.255
   Bernet DB, 2017, NAT HAZARD EARTH SYS, V17, P1659, DOI 10.5194/nhess-17-1659-2017
   Chang TJ, 2015, J HYDROL, V524, P662, DOI 10.1016/j.jhydrol.2015.03.014
   [常晓栋 Chang Xiaodong], 2016, [水力发电学报, Journal of Hydroelectric Engineering], V35, P84
   Chen P., 2020, J HYDROELECTRIC ENG, V39, P69
   Dasallas L, 2023, HYDROL RES, V54, P1387, DOI 10.2166/nh.2023.066
   Environment Agency, 2013, Updated Flood Map for Surface Water-national Scale Surface Water Flood Mapping Methodology
   Guo KH, 2021, HYDROL EARTH SYST SC, V25, P2843, DOI 10.5194/hess-25-2843-2021
   [侯精明 Hou Jingming], 2018, [水力发电学报, Journal of Hydroelectric Engineering], V37, P40
   Kratt CB, 2020, AGR WATER MANAGE, V229, DOI 10.1016/j.agwat.2019.105895
   Leandro J, 2009, J HYDRAUL ENG-ASCE, V135, P495, DOI 10.1061/(ASCE)HY.1943-7900.0000037
   [李珊珊 Li Shanshan], 2022, [水资源保护, Water Resources Protection], V38, P68
   Liang QH, 2016, J HYDRODYN, V28, P977, DOI 10.1016/S1001-6058(16)60699-6
   [马萌华 Ma Menghua], 2017, [水力发电学报, Journal of Hydroelectric Engineering], V36, P62
   Mair M, 2017, WATER-SUI, V9, DOI 10.3390/w9020146
   Mignot E, 2019, J HYDROL, V568, P334, DOI 10.1016/j.jhydrol.2018.11.001
   Mohammadiun S, 2020, HYDROLOG SCI J, V65, P281, DOI 10.1080/02626667.2019.1690657
   Moncoulon D., 2016, Int. J. Saf. Secur. Eng, V6, P141, DOI [10.2495/SAFE-V6-N2-141-149, DOI 10.2495/SAFE-V6-N2-141-149]
   Niu Y., 2022, J. Munic. Technol, V40, P242, DOI [10.19922/j.1009-7767.2022.07.242, DOI 10.19922/J.1009-7767.2022.07.242]
   Okwori E, 2021, J HYDROINFORM, V23, P1014, DOI 10.2166/hydro.2021.068
   Petersson L, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00304
   Qiu R., 2022, China Munic. Eng, V4, P51, DOI [10.3969/j.issn.1004-4655.2022.04.014, DOI 10.3969/J.ISSN.1004-4655.2022.04.014]
   Shrestha A, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127498
   Sitzenfrei R, 2013, WATER RES, V47, P7251, DOI 10.1016/j.watres.2013.10.038
   Skotnicki M, 2015, URBAN WATER J, V12, P207, DOI 10.1080/1573062X.2013.839717
   Szelag B, 2022, ENVIRON MODELL SOFTW, V150, DOI 10.1016/j.envsoft.2022.105335
   Teng J, 2017, ENVIRON MODELL SOFTW, V90, P201, DOI 10.1016/j.envsoft.2017.01.006
   Tscheikner-Gratl F, 2019, URBAN WATER J, V16, P662, DOI 10.1080/1573062X.2020.1713382
   Wang HL, 2022, J HYDROL-REG STUD, V39, DOI 10.1016/j.ejrh.2021.100985
   Wang YT, 2018, ENVIRON MODELL SOFTW, V107, P85, DOI 10.1016/j.envsoft.2018.06.010
   Wu LH, 2022, J FLOOD RISK MANAG, V15, DOI 10.1111/jfr3.12773
   Xia Jun, 2018, Engineering Journal of Wuhan University, V51, P95, DOI 10.14188/j.1671-8844.2018-02-001
   Xu Huan, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20054640
   Yang YY, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2021.126151
   Yu DP, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124011
   Zhang QF, 2021, SCI TOTAL ENVIRON, V763, DOI 10.1016/j.scitotenv.2020.143041
   Zhao K., 2020, Urban Rds. Brdgs. Flood Contr, P146, DOI [10.16799/j.cnki.csdqyfh.2020.10.041, DOI 10.16799/J.CNKI.CSDQYFH.2020.10.041]
NR 40
TC 0
Z9 0
U1 3
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD FEB
PY 2024
VL 16
IS 4
AR 589
DI 10.3390/w16040589
PG 13
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA JJ2C3
UT WOS:001172722400001
OA gold
DA 2025-04-22
ER

PT J
AU Supianto, AA
   Nasar, W
   Aspen, DM
   Hasan, A
   Karlsen, AST
   Torres, RD
AF Afif Supianto, Ahmad
   Nasar, Wajeeha
   Margrethe Aspen, Dina
   Hasan, Agus
   Karlsen, Anniken Susanne T.
   Torres, Ricardo Da Silva
TI An Urban Digital Twin Framework for Reference and Planning
SO IEEE ACCESS
LA English
DT Article
DE Digital twins; Urban areas; Smart cities; Resilience; Logistics;
   Decision making; Bibliographies; Climate change; Analytical models;
   Sustainable development; Urban planning; Urban systems; digital twin;
   sustainable digital transformations
ID HEALTH
AB Urban management systems evolve from merely overseeing urban growth to comprehending interactions among cities' natural, physical, cyber, and social systems. Urban digital twins leverage emerging technologies and serve as platforms to support city transitions. However, a generic urban digital twin framework with essential building blocks leading to a sustainable urban digital transformation is lacking, as most urban digital twin implementations focus on specific application areas and usages. In addition, as urban digital twins are rather new developments, it is important to clarify their concept, definition, and characteristics, including their joint components and functions. This paper presents findings from a domain analysis based on a systematic literature review on urban digital twins, including investigating the concept, definition, and characteristics of urban digital twins and identifying joint components and functions as building blocks for developing a conceptual framework of urban digital twins for sustainable digital transformation. In total, we identified six main components that could be subdivided into 16 sub-components. Moreover, we identified four main features that could be subdivided into ten sub-features. A conceptual framework for urban digital twins is proposed based on those components and features. Two case studies were conducted to illustrate the framework's applicability. It is an overarching goal that the proposed framework will become a useful reference and decision-making tool for urban planners, designers, constructors, and others.
C1 [Afif Supianto, Ahmad; Nasar, Wajeeha; Hasan, Agus; Karlsen, Anniken Susanne T.; Torres, Ricardo Da Silva] Norwegian Univ Sci & Technol, Dept ICT & Nat Sci, N-6009 Alesund, Norway.
   [Margrethe Aspen, Dina] Norwegian Univ Sci & Technol, Dept Int Business, N-6009 Alesund, Norway.
   [Torres, Ricardo Da Silva] Wageningen Univ & Res, Artificial Intelligence Grp, NL-6708 PB Wageningen, Netherlands.
C3 Norwegian University of Science & Technology (NTNU); Norwegian
   University of Science & Technology (NTNU); Wageningen University &
   Research
RP Torres, RD (corresponding author), Norwegian Univ Sci & Technol, Dept ICT & Nat Sci, N-6009 Alesund, Norway.; Torres, RD (corresponding author), Wageningen Univ & Res, Artificial Intelligence Grp, NL-6708 PB Wageningen, Netherlands.
EM ricardo.dasilvatorres@wur.nl
RI Torres, Ricardo/C-4526-2012; Hasan, Agus/B-3230-2019
OI Nasar, Wajeeha/0000-0001-6132-1252; Hasan, Agus/0000-0003-1434-2696;
   Karlsen, Anniken/0000-0002-6322-156X; Torres,
   Ricardo/0000-0001-9772-263X
FU NorDark project - NordForsk [105116]; Research Council of Norway
   [320627, 310056]
FX This work was supported in part by the NorDark project, funded by
   NordForsk under Grant 105116; and in part by the Research Council of
   Norway through the Smart Plan Project under Grant 310056 and through the
   Project Twin Fjord under Grant 320627.
CR Abdeen FN, 2023, TELEMAT INFORM, V84, DOI 10.1016/j.tele.2023.102032
   Abouelrous A., 2023, Urban, Planning Transp. Res., V11
   Agostinelli S., 2021, WIT T BUILT ENV, P1100, DOI DOI 10.2495/BIM210191
   Ahmadi-Assalemi G., 2020, Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity, P133, DOI [DOI 10.1007/978-3-030-35746-7_8, 10.1007/978-3-030-35746-7_8]
   Al-Sehrawy R, 2021, J INF TECHNOL CONSTR, V26, P832, DOI 10.36680/j.itcon.2021.045
   Allam Z, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105201
   [Anonymous], 2018, Internet of Things (IoT) Reference Architecture
   Aspen DM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105723
   Austin M, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000774
   Bachechi C, 2022, COMM COM INF SC, V1652, P657, DOI 10.1007/978-3-031-15743-1_61
   Bartos M, 2021, ENVIRON MODELL SOFTW, V144, DOI 10.1016/j.envsoft.2021.105120
   Batty M, 2021, ENVIRON PLAN B-URBAN, V48, P593, DOI 10.1177/23998083211016122
   Bauer M, 2021, AT-AUTOM, V69, P1106, DOI 10.1515/auto-2021-0083
   Belfadel A., 2021, P 6 INT C SMART SUST, P1
   Belfadel A, 2023, COMPUT ENVIRON URBAN, V103, DOI 10.1016/j.compenvurbsys.2023.101989
   Bishop ID, 2013, ENVIRON PLANN B, V40, P213, DOI 10.1068/b38159
   Broo DG, 2022, AUTOMAT CONSTR, V136, DOI 10.1016/j.autcon.2022.104171
   Brucherseifer E, 2021, AT-AUTOM, V69, P1062, DOI 10.1515/auto-2021-0104
   Bujari A, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21248460
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Cantarero R., 2022, P IEEE INT SMART CIT, P1
   Caprari G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14106263
   Carver J, 2022, IEEE SOFTWARE, V39, P97, DOI 10.1109/MS.2021.3133674
   Corrado CR, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142012988
   Dembski F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062307
   Deng TH, 2021, J MANAGE SCI ENG, V6, P125, DOI 10.1016/j.jmse.2021.03.003
   Ding C, 2022, IEEE T GREEN COMMUN, V6, P1604, DOI 10.1109/TGCN.2022.3173414
   Du W, 2021, GLOBAL RELIABILITY P, P1, DOI [10.1109/PHM-Nanjing52125.2021.9612933, DOI 10.1109/PHM-NANJING52125.2021.9612933]
   El Marai O, 2021, IEEE NETWORK, V35, P136, DOI 10.1109/MNET.011.2000398
   Ferré-Bigorra J, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103905
   Ford DN, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000779
   Frakes W, 1998, ANN SOFTW ENG, V5, P125, DOI 10.1023/A:1018972323770
   Francisco A, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000741
   Gholami M, 2022, LAND-BASEL, V11, DOI 10.3390/land11111917
   Grieves M., 2017, Transdisciplinary perspectives, P85, DOI [10.1007/978-3-319-38756-7, DOI 10.1007/978-3-319-38756-7]
   Ham Y, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000748
   Hämäläinen M, 2021, IET SMART CITIES, V3, P201, DOI 10.1049/smc2.12015
   Hinen M, 2020, P C EN TECHN SUST SO, P1
   Hristov PO, 2022, INT ARCH PHOTOGRAMM, V43-B1, P151, DOI 10.5194/isprs-archives-XLIII-B1-2022-151-2022
   Jiang F, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103645
   Josifovska K, 2019, 2019 IEEE/ACM 5TH INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING FOR SMART CYBER-PHYSICAL SYSTEMS (SESCPS 2019), P25, DOI 10.1109/SEsCPS.2019.00012
   Kamari M, 2022, AUTOMAT CONSTR, V134, DOI 10.1016/j.autcon.2021.104091
   KENDALL J., 2021, National Digital Twin: Integration Architecture Pattern and Principles
   Kudva Sonali., 2017, Big Data and Cognitive Computing, V1, P4, DOI [10.3390/BDCC1010004, DOI 10.3390/BDCC1010004, 10.3390/bdcc1010004]
   Laamarti F, 2020, IEEE ACCESS, V8, P105950, DOI 10.1109/ACCESS.2020.2999871
   Lee A, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14030723
   Lehtola VV, 2022, INT J APPL EARTH OBS, V114, DOI 10.1016/j.jag.2022.102915
   Leplat L., 2022, Proceedings-European council for modelling and simulation, P245
   Li DR, 2021, COMPUT URBAN SCI, V1, DOI 10.1007/s43762-021-00005-y
   Li XM, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104241
   Liao SY, 2022, IEEE T INTELL TRANSP, V23, P22619, DOI 10.1109/TITS.2021.3134002
   Lisboa LB, 2010, INFORM SOFTWARE TECH, V52, P1, DOI 10.1016/j.infsof.2009.05.001
   Liu H., 2022, IET Conference Proceedings, P136, DOI 10.1049/icp.2022.2112
   Lu QC, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000763
   Luo JJ, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11080452
   Major P., 2022, Proceedings-European council for modelling and simulation, P236
   Major P, 2021, IEEE INSTRU MEAS MAG, V24, P39, DOI 10.1109/MIM.2021.9549127
   Masoumi H, 2023, BIG EARTH DATA, V7, P1, DOI 10.1080/20964471.2022.2160156
   Meta I, 2021, COMPLEXITY, V2021, DOI 10.1155/2021/9731180
   Mylonas G, 2021, IEEE ACCESS, V9, P143222, DOI 10.1109/ACCESS.2021.3120843
   Neighbors J. M., 1980, Software construction using components
   Neuendorf K. A., 2017, The content analysis guidebook, V2nd, DOI DOI 10.4135/9781071802878
   Ni ZJ, 2022, IEEE ACCESS, V10, P90924, DOI 10.1109/ACCESS.2022.3202181
   Pang JJ, 2021, TSINGHUA SCI TECHNOL, V26, P759, DOI 10.26599/TST.2021.9010026
   Park J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12219186
   Prieto-Diaz R., 1990, ACMSIGSOFT Software Engineering Notes, V15, P4754
   Qiang Lu, 2021, 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), P58, DOI 10.1109/DTPI52967.2021.9540135
   Raes L, 2022, IEEE INTERNET COMPUT, V26, P43, DOI 10.1109/MIC.2021.3060962
   Ramu SP, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2021.103663
   Rong YT, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2019.124308
   Schrotter G, 2020, PFG-J PHOTOGRAMM REM, V88, P99, DOI 10.1007/s41064-020-00092-2
   Shaharuddin S., 2022, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V46, P315
   Shahat E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063386
   Sofia H., 2020, P IEEE INT C MOR GEO, P1, DOI DOI 10.1109/MORGEO49228.2020.9121882
   Ssin S, 2021, IEEE ICCE, DOI 10.1109/ICCE50685.2021.9427709
   Tancev G., 2022, P IEEE INT SMART CIT, P1
   Tao F, 2019, NATURE, V573, P490, DOI 10.1038/d41586-019-02849-1
   Tao F, 2018, CIRP ANN-MANUF TECHN, V67, P169, DOI 10.1016/j.cirp.2018.04.055
   van den Berghe S, 2021, IEEE INT CONF BIG DA, P2867, DOI 10.1109/BigData52589.2021.9671660
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Wang C., 2021, Chin. Soc. Elect. Eng., V41
   Wang H, 2023, EXPERT SYST APPL, V217, DOI 10.1016/j.eswa.2023.119531
   White G, 2021, CITIES, V110, DOI 10.1016/j.cities.2020.103064
   Xia HS, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.104009
   Xu Z, 2022, CHEMOSPHERE, V305, DOI 10.1016/j.chemosphere.2022.135372
   Ye X, 2023, J PLAN LIT, V38, P187, DOI 10.1177/08854122221137861
   Yue A, 2022, IOP Conf. Ser., Earth Environ. Sci., V1101
   Yunda Wang, 2021, 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), P29, DOI 10.1109/DTPI52967.2021.9540127
   Zekri S, 2022, COMPUT INFORM, V41, P135, DOI 10.31577/cai_2022_1_135
NR 89
TC 0
Z9 0
U1 32
U2 32
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 2169-3536
J9 IEEE ACCESS
JI IEEE Access
PY 2024
VL 12
BP 152444
EP 152465
DI 10.1109/ACCESS.2024.3478379
PG 22
WC Computer Science, Information Systems; Engineering, Electrical &
   Electronic; Telecommunications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Telecommunications
GA K0D3C
UT WOS:001340671800001
OA gold
DA 2025-04-22
ER

PT J
AU Luo, CC
   Cai, DX
   Xu, JB
AF Luo, Changcai
   Cai, Dixin
   Xu, Junbing
TI Resilient reserves: Climate adaptive pilot cities policy and firms' cash
   holdings
SO ECONOMIC ANALYSIS AND POLICY
LA English
DT Article
DE CAPC policy; Firms' cash holdings; Climate governance; Climate
   adaptation; Climate mitigation
ID UNCERTAINTY; GOVERNANCE; OWNERSHIP
AB Climate mitigation and adaptation are indispensable pillars of global climate governance. Although there are growing research on studying the mitigation, it still lacks sufficient empirical evidence regarding the real economic effects of adaptation. Adopting difference-in-differences (DID) method, our article fills above research gap through exploring whether and how Chinese 2017 climate adaptive pilot cities (CAPC) policy affects firms' cash holdings. Results reveal that CAPC policy may lower firms' cash holdings by 10.96 % and 10.64 %, respectively. This effect is particularly prominent for non-state-owned enterprises (NSOEs) or firms located in cities with higher climate risk perception. Additionally, the reduction in cash holdings resulting from CAPC policy can be attributed to the relaxation of financing constraints, reduction of bankruptcy risk, and alleviation of agency costs. Further analysis also shows that CAPC policy may improve the value of cash holdings. This article elucidates the influence of climate adaptation on cash management from developing countries.
C1 [Luo, Changcai] Jimei Univ, Finance & Econ Coll, Xiamen, Peoples R China.
   [Cai, Dixin; Xu, Junbing] Minjiang Univ, Newhuadu Business Sch, 200 Xiyuangong Rd, Fuzhou, Fujian, Peoples R China.
C3 Jimei University; Minjiang University
RP Xu, JB (corresponding author), Minjiang Univ, Newhuadu Business Sch, 200 Xiyuangong Rd, Fuzhou, Fujian, Peoples R China.
EM keyboy_007@163.com; cdx877518640@163.com; xujunbing@nbs.edu.cn
CR Adelekan IO, 2016, NAT HAZARDS, V80, P445, DOI 10.1007/s11069-015-1977-2
   Altman EI, 2017, J INT FIN MANAG ACC, V28, P131, DOI 10.1111/jifm.12053
   Bertrand M, 2004, Q J ECON, V119, P249, DOI 10.1162/003355304772839588
   Brandt L, 2017, AM ECON REV, V107, P2784, DOI 10.1257/aer.20121266
   Brown J, 2011, J POLIT ECON, V119, P982, DOI 10.1086/663306
   Chen X, 2021, ENERG POLICY, V157, DOI 10.1016/j.enpol.2021.112510
   Chen YW, 2019, INT REV ECON FINANC, V61, P213, DOI 10.1016/j.iref.2019.02.008
   Chiu K, 2021, J HEALTH ECON, V79, DOI 10.1016/j.jhealeco.2021.102518
   Collier BL, 2024, J FINANC QUANT ANAL, DOI 10.1017/S0022109024000103
   Correia S., 2015, SINGLETONS CLUSTER R, P7
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Denis D.J., 2024, Handbook of Corporate Finance, P223
   Dou H., 2016, Manage World, P141, DOI DOI 10.19744/J.CNKI.11-1235/F.2016.05.012
   Du MZ, 2021, J ENVIRON MANAGE, V277, DOI 10.1016/j.jenvman.2020.111394
   Eckstein D., 2021, Who Suffers Most from Extreme Weather Events, 2000-2019
   Fang X, 2024, J CLEAN PROD, V434, DOI 10.1016/j.jclepro.2023.140310
   Faulkender M, 2006, J FINANC, V61, P1957, DOI 10.1111/j.1540-6261.2006.00894.x
   Favara G, 2021, J FINANC ECON, V141, P436, DOI 10.1016/j.jfineco.2021.04.010
   Feng CY, 2023, RESOUR POLICY, V82, DOI 10.1016/j.resourpol.2023.103449
   Feng XN, 2022, ASIA-PAC J ACCOUNT E, V29, P363, DOI 10.1080/16081625.2019.1694954
   Firth M, 2016, J BANK FINANC, V65, P91, DOI 10.1016/j.jbankfin.2016.01.009
   Fischer C, 2008, J ENVIRON ECON MANAG, V55, P142, DOI 10.1016/j.jeem.2007.11.001
   Ginglinger E, 2023, MANAGE SCI, V69, P7492, DOI 10.1287/mnsc.2023.4952
   Guo K, 2024, DATA BRIEF, V54, DOI 10.1016/j.dib.2024.110502
   Hadlock CJ, 2010, REV FINANC STUD, V23, P1909, DOI 10.1093/rfs/hhq009
   Han SJ, 2007, J CORP FINANC, V13, P43, DOI 10.1016/j.jcorpfin.2006.05.002
   Harford J, 2008, J FINANC ECON, V87, P535, DOI 10.1016/j.jfineco.2007.04.002
   Hartlieb S, 2024, EUR ACCOUNT REV, V33, P1075, DOI 10.1080/09638180.2022.2141811
   He ZD, 2022, ECON MODEL, V116, DOI 10.1016/j.econmod.2022.105999
   Huynh LTM, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-46970-w
   Keenan JM, 2019, INT J URBAN SUSTAIN, V11, P297, DOI 10.1080/19463138.2019.1565413
   Keynes JM, 1937, Q J ECON, V51, P209, DOI 10.2307/1882087
   Kong DM, 2024, INT REV ECON FINANC, V95, DOI 10.1016/j.iref.2024.103436
   Leung MP, 2020, REV ECON STAT, V102, P368, DOI 10.1162/rest_a_00818
   Li GQ, 2018, J ENVIRON MANAGE, V206, P1296, DOI 10.1016/j.jenvman.2017.09.076
   Li Q, 2024, REV FINANC STUD, V37, P1778, DOI 10.1093/rfs/hhad094
   Li WP, 2023, ACCOUNT FINANC, V63, P2875, DOI 10.1111/acfi.13021
   Li WP, 2022, ENERG ECON, V112, DOI 10.1016/j.eneco.2022.106151
   Lin BQ, 2020, J ENVIRON MANAGE, V258, DOI 10.1016/j.jenvman.2019.110036
   Liu F, 2018, CHINA J ACCOUNT RES, V11, P129, DOI 10.1016/j.cjar.2016.12.003
   Magerakis E, 2020, J RISK FINANC MANAG, V13, DOI 10.3390/jrfm13080163
   Massetti E., 2018, Rev. Env. Econ. Policy.
   Opler T, 1999, J FINANC ECON, V52, P3, DOI 10.1016/S0304-405X(99)00003-3
   Phan HV, 2019, J BUS RES, V95, P71, DOI 10.1016/j.jbusres.2018.10.001
   Pindyck RS, 2013, J ECON LIT, V51, P860, DOI 10.1257/jel.51.3.860
   Rashid A, 2016, J BUS ETHICS, V137, P609, DOI 10.1007/s10551-015-2570-z
   Regmi BR, 2016, MITIG ADAPT STRAT GL, V21, P461, DOI 10.1007/s11027-014-9610-3
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Sinclair B, 2012, AM J POLIT SCI, V56, P1055, DOI 10.1111/j.1540-5907.2012.00592.x
   Sun YY, 2024, J ENVIRON MANAGE, V353, DOI 10.1016/j.jenvman.2024.120134
   Tan JH, 2021, ECON MODEL, V103, DOI 10.1016/j.econmod.2021.105618
   Tong ZX, 2011, J CORP FINANC, V17, P741, DOI 10.1016/j.jcorpfin.2009.05.001
   Wei XH, 2024, ENERG ECON, V131, DOI 10.1016/j.eneco.2024.107375
   Wilson R, 2022, REV ECON STAT, V104, P929, DOI 10.1162/rest_a_00995
   Xu NH, 2016, J CORP FINANC, V40, P276, DOI 10.1016/j.jcorpfin.2016.08.007
   Yao SY, 2021, ENERG ECON, V101, DOI 10.1016/j.eneco.2021.105415
   Zhang T, 2023, J CLEAN PROD, V419, DOI 10.1016/j.jclepro.2023.138289
   Zhang YX, 2022, J ENVIRON MANAGE, V317, DOI 10.1016/j.jenvman.2022.115377
   Zhang ZH, 2023, ENERG ECON, V124, DOI 10.1016/j.eneco.2023.106763
   Zhao LE, 2023, ECON ANAL POLICY, V79, P765, DOI 10.1016/j.eap.2023.06.045
   Zhao PC, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13183704
   Zhu JP, 2022, J ENVIRON MANAGE, V312, DOI 10.1016/j.jenvman.2022.114968
NR 62
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0313-5926
J9 ECON ANAL POLICY
JI Econ. Anal. Policy
PD JUN
PY 2025
VL 86
BP 510
EP 527
DI 10.1016/j.eap.2025.03.045
PG 18
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA 1DI2X
UT WOS:001462319900001
DA 2025-04-22
ER

PT J
AU Zhang, P
   Wang, JJ
   Zhong, W
   Hu, WP
AF Zhang, Peng
   Wang, Jianjun
   Zhong, Wei
   Hu, Wenping
TI Toward governance, resilience, and economic outcomes in urban energy
   transition based on renewable energy allocation
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban energy transition; Ant colony optimization; Renewable energy;
   Operational cost; Emissions optimization
ID MANAGEMENT; SYSTEMS; DEMAND
AB The accelerating global urbanization demands a paradigm shift in urban energy systems towards sustainability. This paper presents an integrated approach using Ant Colony Optimization (ACO) to optimize the transition from conventional to renewable energy sources in urban areas. The study focuses on minimizing operational costs and emissions by strategically allocating resources between conventional units, hydrogen production, and renewable energy sources. Through extensive simulations and analysis, our approach demonstrates effectiveness in achieving a balance between economic viability and environmental sustainability. We provide a detailed breakdown of operational costs and emissions, offering valuable insights for policymakers and urban planners. The results underscore the pivotal role of ACO in guiding decision-making processes, ensuring cities transition to cleaner, more efficient energy systems. This research not only contributes to academic discourse but also provides actionable solutions for building greener and economically viable urban energy infrastructures. The methodologies and insights presented here offer a valuable framework for shaping the future of urban energy landscapes in the face of growing environmental challenges.
C1 [Zhang, Peng] Northwest Univ Polit Sci & Law, Sch Econ, Xian 71006, Peoples R China.
   [Wang, Jianjun; Zhong, Wei; Hu, Wenping] Nanchang Univ, Sch Econ & Management, Nanchang 330031, Peoples R China.
C3 Nanchang University
RP Zhang, P (corresponding author), Northwest Univ Polit Sci & Law, Sch Econ, Xian 71006, Peoples R China.
EM 13772075332@163.com
RI hu, Wenping/B-5957-2013
FX The authors declare that they have no known competing finan-cial
   interests or personal relationships that could have appeared influence
   the work reported in this paper.
CR Anthopoulos L, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103492
   Carreón JR, 2018, RESOUR CONSERV RECY, V132, P258, DOI 10.1016/j.resconrec.2017.08.004
   Cumo F, 2012, SUSTAIN CITIES SOC, V4, P29, DOI 10.1016/j.scs.2012.03.003
   Haarstad H, 2019, ENERG POLICY, V129, P918, DOI 10.1016/j.enpol.2019.03.001
   Han Jiayi, 2023, Energy Conversion and Economics, P89, DOI 10.1049/enc2.12083
   Hoicka CE, 2021, ENERG POLICY, V158, DOI 10.1016/j.enpol.2021.112544
   Horak D, 2022, RENEW SUST ENERG REV, V162, DOI 10.1016/j.rser.2022.112426
   Liu JH, 2021, INT J HYDROGEN ENERG, V46, P28855, DOI 10.1016/j.ijhydene.2020.11.229
   Madlener R, 2011, SUSTAIN CITIES SOC, V1, P45, DOI 10.1016/j.scs.2010.08.006
   Malla SG, 2022, INT J EMERG ELECTR P, V23, P261, DOI 10.1515/ijeeps-2021-0113
   Manfren M, 2011, APPL ENERG, V88, P1032, DOI 10.1016/j.apenergy.2010.10.018
   Marquez-Ballesteros MJ, 2019, SUSTAIN CITIES SOC, V45, P335, DOI 10.1016/j.scs.2018.10.044
   Mohamed Mohamed A., 2015, 2015 IEEE INT C SMAR
   O'Dwyer E, 2019, APPL ENERG, V237, P581, DOI 10.1016/j.apenergy.2019.01.024
   Rehman AU, 2021, IEEE ACCESS, V9, P148821, DOI 10.1109/ACCESS.2021.3124557
   Rehman AU, 2021, IEEE ACCESS, V9, P84619, DOI 10.1109/ACCESS.2021.3087321
   Salinas S, 2013, IEEE T SMART GRID, V4, P2139, DOI 10.1109/TSG.2013.2265556
   Sampaio HC, 2013, APPL ENERG, V104, P924, DOI 10.1016/j.apenergy.2012.12.022
   Shahid A, 2018, INT CONF RENEW ENERG, P944, DOI 10.1109/ICRERA.2018.8566827
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Khan HW, 2021, IEEE ACCESS, V9, P124235, DOI 10.1109/ACCESS.2021.3109136
   Woon Sin, 2022, Energy
   Zhang W, 2020, APPL ENERG, V279, DOI 10.1016/j.apenergy.2020.115716
NR 23
TC 5
Z9 5
U1 12
U2 14
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD AUG 1
PY 2024
VL 108
AR 105462
DI 10.1016/j.scs.2024.105462
EA MAY 2024
PG 11
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA XO8T2
UT WOS:001262723000001
DA 2025-04-22
ER

PT J
AU Bosch, M
   Locatelli, M
   Hamel, P
   Remme, RP
   Jaligot, R
   Chenal, JM
   Joost, S
AF Bosch, Marti
   Locatelli, Maxence
   Hamel, Perrine
   Remme, Roy P.
   Jaligot, Remi
   Chenal, Jerome
   Joost, Stephane
TI Evaluating urban greening scenarios for urban heat mitigation: a
   spatially explicit approach
SO ROYAL SOCIETY OPEN SCIENCE
LA English
DT Article
DE urban heat island; green infrastructure; mitigation; spatial planning
ID LAND-SURFACE TEMPERATURE; ISLAND; PATTERN; IMPACT; SPACE; TREES;
   STRATEGIES; MORTALITY; STRESS; ENERGY
AB Urban green infrastructure, especially trees, are widely regarded as one of the most effective ways to reduce urban temperatures in heatwaves and alleviate the adverse impacts of extreme heat events on human health and well-being. Nevertheless, urban planners and decision-makers are still lacking methods and tools to spatially evaluate the cooling effects of urban green spaces and exploit them to assess greening strategies at the urban agglomeration scale. This article introduces a novel spatially explicit approach to simulate urban greening scenarios by increasing the tree canopy cover in the existing urban fabric and evaluating their heat mitigation potential. The latter is achieved by applying the InVEST urban cooling model to the synthetic land use/land cover maps generated for the greening scenarios. A case study in the urban agglomeration of Lausanne, Switzerland, illustrates the development of tree canopy scenarios following distinct spatial distribution strategies. The spatial pattern of the tree canopy strongly influences the human exposure to the highest temperatures, and small increases in the abundance of tree canopy cover with the appropriate spatial configuration can have major impacts on human health and well-being. The proposed approach supports urban planning and the design of nature-based solutions to enhance climate resilience.
C1 [Bosch, Marti; Locatelli, Maxence; Jaligot, Remi; Chenal, Jerome; Joost, Stephane] Ecole Polytech Fed Lausanne, Urban & Reg Planning Community, Lausanne, Switzerland.
   [Hamel, Perrine] Nanyang Technol Univ, Asian Sch Environm, Singapore, Singapore.
   [Remme, Roy P.] Leiden Univ, Inst Environm Sci, Leiden, Netherlands.
   [Remme, Roy P.] Stanford Univ, Nat Capital Project, Stanford, CA 94305 USA.
   [Joost, Stephane] Ecole Polytech Fed Lausanne, Lab Geog Informat Syst, Lausanne, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; Ecole Polytechnique
   Federale de Lausanne; Nanyang Technological University; Leiden
   University - Excl LUMC; Leiden University; Stanford University; Swiss
   Federal Institutes of Technology Domain; Ecole Polytechnique Federale de
   Lausanne
RP Bosch, M (corresponding author), Ecole Polytech Fed Lausanne, Urban & Reg Planning Community, Lausanne, Switzerland.
EM marti.bosch@epfl.ch
RI Chenal, Jerome/P-1504-2018; Hamel, Perrine/HTL-7454-2023; Remme,
   Roy/O-3357-2019; Joost, Stéphane/B-4152-2010
OI Joost, Stephane/0000-0002-1184-7501; Remme, Roy/0000-0002-0799-2319;
   Bosch, Marti/0000-0001-8735-9144
FU Ecole Polytechnique Federale de Lausanne (EPFL)
FX This research has been supported by the Ecole Polytechnique Federale de
   Lausanne (EPFL). The authors received no specific funding for this work.
CR Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Alavipanah S, 2018, J CLEAN PROD, V177, P115, DOI 10.1016/j.jclepro.2017.12.187
   Angel S., 2012, ATLAS URBAN EXPANSIO
   [Anonymous], P 17 ACM SIGSPATIAL, DOI [DOI 10.1145/1653771.1653792, 10.1145/1653771.1653792]
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Artmann M, 2019, ECOL INDIC, V96, P3, DOI 10.1016/j.ecolind.2018.10.059
   Association pour le Systeme d'information du Territoire Vaudois, 2018, STRUCT DONN CAD FORM
   Bao TLG, 2016, ISPRS INT GEO-INF, V5, DOI 10.3390/ijgi5020012
   Block A.H., 2012, Responding to the Urban Heat Island: A Review of the Potential of Green Infrastructure
   Bodnaruk EW, 2017, LANDSCAPE URBAN PLAN, V157, P457, DOI 10.1016/j.landurbplan.2016.08.016
   Bosch M., 2019, J OPEN SOURCE SOFTW, V4, P1511, DOI [10.21105/joss, DOI 10.21105/JOSS]
   Bosch M, 2021, GEOSCI MODEL DEV, V14, P3521, DOI 10.5194/gmd-14-3521-2021
   Bosch M, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3020060
   Bosch M, 2020, LANDSCAPE ECOL, V35, P879, DOI 10.1007/s10980-020-00985-y
   Bosch M, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0225734
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Burgstall A., 2018, SCI REPORT METEOSWIS
   Chen AL, 2014, URBAN FOR URBAN GREE, V13, P646, DOI 10.1016/j.ufug.2014.07.006
   Chestnut L.G., 1998, ENVIRON SCI POLICY, V1, P59, DOI [10.1016/S1462-9011(98)00015-X, DOI 10.1016/S1462-9011(98)00015-X]
   Dai ZX, 2019, ECOL INDIC, V97, P77, DOI 10.1016/j.ecolind.2018.09.041
   Du HY, 2017, URBAN FOR URBAN GREE, V27, P24, DOI 10.1016/j.ufug.2017.06.008
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   Federal Office of Topography, 2019, SWISS MOS ORTH SUISS
   Frei C, 2014, INT J CLIMATOL, V34, P1585, DOI 10.1002/joc.3786
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Geneletti D, 2019, SPRINGERBR ENV SCI, P1, DOI 10.1007/978-3-030-20024-4
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Golden JS, 2006, J GREEN BUILD, V1, P124, DOI 10.3992/jgb.1.3.124
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Grize L, 2005, SWISS MED WKLY, V135, P200
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Hargreaves G. H., 1985, Paper, American Society of Agricultural Engineers
   Hu YF, 2020, J ENVIRON MANAGE, V266, DOI 10.1016/j.jenvman.2020.110424
   Huang KN, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4b71
   Jaganmohan M, 2016, J ENVIRON QUAL, V45, P134, DOI 10.2134/jeq2015.01.0062
   Jiao M, 2017, AGR FOREST METEOROL, V247, P293, DOI 10.1016/j.agrformet.2017.08.013
   Jim CY, 2013, URBAN ECOSYST, V16, P741, DOI 10.1007/s11252-012-0268-x
   Jung MC, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126930
   Kadaverugu Rakesh, 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-020-06380-w
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, DOI [10.3402/gha.v2i0.2047, 10.3402/gha.v2i0.1958]
   Koc CB, 2018, SOL ENERGY, V166, P486, DOI 10.1016/j.solener.2018.03.008
   Kong FH, 2014, LANDSCAPE URBAN PLAN, V128, P35, DOI 10.1016/j.landurbplan.2014.04.018
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Laaidi K, 2012, ENVIRON HEALTH PERSP, V120, P254, DOI 10.1289/ehp.1103532
   Labedens S, 2019, J PHYS CONF SER, V1343, DOI 10.1088/1742-6596/1343/1/012012
   Lemonsu A, 2015, URBAN CLIM, V14, P586, DOI 10.1016/j.uclim.2015.10.007
   Li WF, 2017, SCI TOTAL ENVIRON, V586, P457, DOI 10.1016/j.scitotenv.2017.01.191
   Li XM, 2013, LANDSCAPE URBAN PLAN, V114, P1, DOI 10.1016/j.landurbplan.2013.02.005
   Li XM, 2012, LANDSCAPE ECOL, V27, P887, DOI 10.1007/s10980-012-9731-6
   Lin BB, 2013, J APPL ECOL, V50, P1161, DOI 10.1111/1365-2664.12118
   McGarigal K., 2012, FRAGSTATS V4 SPATIAL, P15
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004
   Nastran M, 2019, URBAN FOR URBAN GREE, V37, P33, DOI 10.1016/j.ufug.2018.01.008
   NATURVATION project, 2020, MAPP BEN NAT BAS SOL
   O'Neill RV, 1988, LANDSCAPE ECOL, V1, P153, DOI 10.1007/BF00162741
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   Park YJ, 2021, COMPUT ENVIRON URBAN, V88, DOI 10.1016/j.compenvurbsys.2021.101655
   Paulin MJ, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101114
   Phelan PE, 2015, ANNU REV ENV RESOUR, V40, P285, DOI 10.1146/annurev-environ-102014-021155
   Ragettli MS, 2017, ENVIRON RES, V158, P703, DOI 10.1016/j.envres.2017.07.021
   Rhee J, 2014, GISCI REMOTE SENS, V51, P521, DOI 10.1080/15481603.2014.964455
   Santamouris M, 2015, ENERG BUILDINGS, V98, P119, DOI 10.1016/j.enbuild.2014.09.052
   Santamouris M, 2018, J CIV ENG MANAG, V24, P638, DOI 10.3846/jcem.2018.6604
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Sharp R., 2020, InVEST 3.8.0 User's Guide; The Natural Capital Project: Stanford University, University of Minnesota, The Nature Conservancy, and World Wildlife Fund
   Silva EA, 2008, PROG PLANN, V70, P133, DOI 10.1016/j.progress.2008.05.002
   Sun RH, 2017, ECOSYST SERV, V23, P38, DOI 10.1016/j.ecoser.2016.11.011
   Swiss Federal Statistical Office, 2018, CIT STAT URB AUD DAT
   Swiss Federal Statistical Office, 2020, STAT POP MEN STATP G
   Terfa BK, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12182876
   Trimmel H, 2021, METEOROL Z, V30, DOI 10.1127/metz/2019/0966
   United Nations Department of Economic and Social Affairs Population Division, 2019, A421 STESASER
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wang J, 2020, ISPRS J PHOTOGRAMM, V159, P78, DOI 10.1016/j.isprsjprs.2019.11.001
   Wang J, 2019, LANDSCAPE ECOL, V34, P1145, DOI 10.1007/s10980-019-00828-5
   Werbin ZR, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0224959
   White R., 2015, Modeling Cities and Regions as Complex Systems From Theory to Planning Applications
   Yan JL, 2019, AGR FOREST METEOROL, V279, DOI 10.1016/j.agrformet.2019.107666
   Yang L, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/034018
   Young RF, 2010, URBAN FOR URBAN GREE, V9, P313, DOI 10.1016/j.ufug.2010.06.007
   Yu K, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050497
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
   Yu ZW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25296-w
   Zander KK, 2015, NAT CLIM CHANGE, V5, P647, DOI [10.1038/NCLIMATE2623, 10.1038/nclimate2623]
   Zardo L, 2017, ECOSYST SERV, V26, P225, DOI 10.1016/j.ecoser.2017.06.016
   Zhou WQ, 2017, REMOTE SENS ENVIRON, V195, P1, DOI 10.1016/j.rse.2017.03.043
   Zhou WQ, 2011, LANDSCAPE URBAN PLAN, V102, P54, DOI 10.1016/j.landurbplan.2011.03.009
NR 89
TC 13
Z9 13
U1 13
U2 127
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 2054-5703
J9 ROY SOC OPEN SCI
JI R. Soc. Open Sci.
PD DEC 8
PY 2021
VL 8
IS 12
AR 202174
DI 10.1098/rsos.202174
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA XK9TS
UT WOS:000727798900001
PM 34909207
OA gold, Green Published, Green Submitted
DA 2025-04-22
ER

PT J
AU Privitera, R
   Palermo, V
   Martinico, F
   Fichera, A
   La Rosa, D
AF Privitera, Riccardo
   Palermo, Valentina
   Martinico, Francesco
   Fichera, Alberto
   La Rosa, Daniele
TI Towards lower carbon cities: urban morphology contribution in climate
   change adaptation strategies
SO EUROPEAN PLANNING STUDIES
LA English
DT Article
DE Climate change; energy; carbon sequestration; urban morphology;
   sustainable cities; transformability assessment
ID ENERGY-CONSUMPTION; UNITED-STATES; GREEN INFRASTRUCTURE; AREAS; SYSTEMS;
   TRANSFORMABILITY; SEQUESTRATION; PERFORMANCE; ENVIRONMENT; RESILIENCE
AB Non-urbanized areas (NUAs) play an important role in reducing the effects of climate change by providing both carbon storage and sequestration. Urban areas are responsible for the emission of 60% of global greenhouse gas, 50% of which are produced by buildings. During the past decades, increasing urban growth and sprawl processes produced several urban layouts characterized by different morphological features and a common lack of sustainable energy and environmental solutions. Investigating the relationship between urban morphology, energy demand and carbon emission/sequestration represents a relevant topic for urban planning practices implemented to face urban climate change effects. This study proposes a method for a transformability assessment aimed at investigating the transformation suitability of different urban morphology types. The case study is the metropolitan area of Catania (Italy), characterized by an impressive urban growth since the 1960s. The proposed method identification of limits and options for increasing sustainability of urban areas considering the contribution of both NUAs and built-up areas. This approach allows to identify appropriate planning tools for new layouts of urban fabrics while increasing the objectivity of the decision process. In the framework of climate change mitigation and adaptation, the outcomes of this research may lead to innovative urban planning practices.
C1 [Privitera, Riccardo; Palermo, Valentina; Martinico, Francesco; La Rosa, Daniele] Univ Catania, Dept Civil Engn & Architecture, Via Santa Sofia 64, I-95123 Catania, Italy.
   [Fichera, Alberto] Univ Catania, Dept Ind Engn, Catania, Italy.
C3 University of Catania; University of Catania
RP Privitera, R (corresponding author), Univ Catania, Dept Civil Engn & Architecture, Via Santa Sofia 64, I-95123 Catania, Italy.
EM riccardo.privitera@darc.unict.it
RI Fichera, Alberto/E-6528-2014; Privitera, Riccardo/IAQ-2136-2023;
   Palermo, Valentina/AAW-9279-2020; La Rosa, Daniele/A-8331-2012
OI Palermo, Valentina/0000-0002-5676-3272; fichera,
   alberto/0000-0002-8680-715X; Privitera, Riccardo/0000-0002-1219-512X; La
   Rosa, Daniele/0000-0002-3975-1405
CR Akbari H, 2003, LANDSCAPE URBAN PLAN, V63, P1, DOI 10.1016/S0169-2046(02)00165-2
   Ascione F, 2013, CITIES, V35, P270, DOI 10.1016/j.cities.2013.04.012
   Bartlett J.E., 2001, Inform. Technol., Learn., Perform. J., V19
   Bengston DN, 2004, LANDSCAPE URBAN PLAN, V69, P271, DOI 10.1016/j.landurbplan.2003.08.007
   Brabec E, 2002, LANDSCAPE URBAN PLAN, V58, P255, DOI 10.1016/S0169-2046(01)00225-0
   Brack CL, 2002, ENVIRON POLLUT, V116, pS195, DOI 10.1016/S0269-7491(01)00251-2
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chen WY, 2015, CITIES, V44, P112, DOI 10.1016/j.cities.2015.01.005
   Conway TM, 2013, LANDSCAPE URBAN PLAN, V113, P10, DOI 10.1016/j.landurbplan.2013.01.005
   Department of Economic and Social Affairs United Nations, 2012, WORLD URB PROSP 2011
   European Environment Agency, 2006, 10 EUR ENV AG
   Fichera A, 2016, CITIES, V55, P49, DOI 10.1016/j.cities.2016.03.011
   Getter KL, 2009, ENVIRON SCI TECHNOL, V43, P7564, DOI 10.1021/es901539x
   Gill SE, 2008, LANDSCAPE URBAN PLAN, V87, P210, DOI 10.1016/j.landurbplan.2008.06.008
   Gossop C, 2011, CITIES, V28, P495, DOI 10.1016/j.cities.2011.09.003
   Grove JM, 2006, ECOSYSTEMS, V9, P578, DOI 10.1007/s10021-006-0116-z
   Intergovernmental Panel on Climate Change, 2006, GUID NAT GREENH GAS
   Inturri G, 2014, PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON TRAFFIC AND TRANSPORT ENGINEERING (ICTTE), P692
   Istituto Nazionale di Statistica, 2011, 15 CENS GEN POP AB
   Italian Ministerial Decree, 2009, GUID EN CERT BUILD
   Italian Organization for Standardization, 2008, 11300 UNI TS IT OR 2
   Italian Organization for Standardization, 2008, 11300 UNI TS IT OR 1
   Jim CY, 2003, LANDSCAPE URBAN PLAN, V65, P95, DOI 10.1016/S0169-2046(02)00244-X
   Kellett R, 2013, LANDSCAPE URBAN PLAN, V110, P48, DOI 10.1016/j.landurbplan.2012.10.002
   La Greca P., 2010, INFORM PIANIFICAZION
   La Greca P, 2013, GEOGRAPHIC INFORMATION ANALYSIS FOR SUSTAINABLE DEVELOPMENT AND ECONOMIC PLANNING: NEW TECHNOLOGIES, P102, DOI 10.4018/978-1-4666-1924-1.ch007
   La Greca P, 2011, CITIES, V28, P527, DOI 10.1016/j.cities.2011.06.009
   La Greca P, 2011, ENVIRON POLLUT, V159, P2193, DOI 10.1016/j.envpol.2010.11.017
   La Rosa D, 2014, ECOL INDIC, V42, P122, DOI 10.1016/j.ecolind.2013.11.011
   La Rosa D, 2013, LANDSCAPE URBAN PLAN, V109, P94, DOI 10.1016/j.landurbplan.2012.05.012
   Lindseth G., 2004, Local Environ, V9, P325, DOI 10.1080/1354983042000246252
   Lu D, 2007, INT J REMOTE SENS, V28, P823, DOI 10.1080/01431160600746456
   Luck GW, 2009, ECOSYSTEMS, V12, P604, DOI 10.1007/s10021-009-9244-6
   Malys L, 2014, BUILD ENVIRON, V73, P187, DOI 10.1016/j.buildenv.2013.12.012
   Manso M, 2015, RENEW SUST ENERG REV, V41, P863, DOI 10.1016/j.rser.2014.07.203
   Marchi M, 2015, ECOL MODEL, V306, P46, DOI 10.1016/j.ecolmodel.2014.08.013
   Martinico F, 2014, IFOREST, V7, P385, DOI 10.3832/ifor1171-007
   Marull J, 2007, LANDSCAPE URBAN PLAN, V81, P200, DOI 10.1016/j.landurbplan.2006.11.005
   McHale Melissa R., 2007, Urban Forestry & Urban Greening, V6, P49, DOI 10.1016/j.ufug.2007.01.001
   Mcpherson E. G., 1999, PSWGTR171 PAC SE REG
   Nowak DJ, 2013, ENVIRON POLLUT, V178, P229, DOI 10.1016/j.envpol.2013.03.019
   O'Rourke, 2010, SCOPING REPORT FEASI
   Olazabal M, 2016, ENVIRON INNOV SOC TR, V18, P18, DOI 10.1016/j.eist.2015.06.006
   Palermo V., 2018, J CLEANER PRODUCTION
   Privitera R., 2017, 20 C NAZ SIU ROM GIU, P12
   Privitera R., 2014, URBANISTICA INFORM, V257, P67
   Privitera R., 2018, ACTA GEOBALCANICA, V4, P17, DOI [10.18509/AGB.2018.02, DOI 10.18509/AGB.2018.02]
   Ratti C, 2005, ENERG BUILDINGS, V37, P762, DOI 10.1016/j.enbuild.2004.10.010
   Raymond C.M., 2017, Report prepared by the EKLIPSE Expert
   Rode P, 2014, ENVIRON PLANN B, V41, P138, DOI 10.1068/b39065
   Shin Dong-hoon., 2005, Landscape Ecol Eng, V1, P169, DOI [DOI 10.1007/S11355-005-0021-1, 10.1007/s11355-005-0021-1]
   The World Bank, 2010, Technical Report
   Tittonell P, 2014, AGR SYST, V126, P3, DOI 10.1016/j.agsy.2013.10.010
   United Nations Environmental Programme, 2009, CLIM CHANG SCI COMP
   Walker B, 2004, ECOL SOC, V9
   Walsh CL, 2011, PROC INST CIV ENG-U, V164, P75, DOI 10.1680/udap.2011.164.2.75
   While A, 2013, URBAN STUD, V50, P1325, DOI 10.1177/0042098013480963
   Zhang B, 2014, BUILD ENVIRON, V76, P37, DOI 10.1016/j.buildenv.2014.03.003
NR 58
TC 26
Z9 27
U1 12
U2 113
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0965-4313
EI 1469-5944
J9 EUR PLAN STUD
JI Eur. Plan. Stud.
PY 2018
VL 26
IS 4
BP 812
EP 837
DI 10.1080/09654313.2018.1426735
PG 26
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA FW0OE
UT WOS:000424993800010
DA 2025-04-22
ER

PT J
AU Zieba-Kulawik, K
   Skoczylas, K
   Mustafa, A
   Wezyk, P
   Gerber, P
   Teller, J
   Omrani, H
AF Zieba-Kulawik, Karolina
   Skoczylas, Konrad
   Mustafa, Ahmed
   Wezyk, Piotr
   Gerber, Philippe
   Teller, Jacques
   Omrani, Hichem
TI Spatiotemporal Changes in 3D Building Density with LiDAR and GEOBIA: A
   City-Level Analysis
SO REMOTE SENSING
LA English
DT Article
DE buildings 3D density; GEOBIA; LiDAR; CIR aerial orthophotos; building
   footprint
ID IMAGE-ANALYSIS; LAND; EXTRACTION; CLASSIFICATION
AB Understanding how, where, and when a city is expanding can inform better ways to make our cities more resilient, sustainable, and equitable. This paper explores urban volumetry using the Building 3D Density Index (B3DI) in 2001, 2010, 2019, and quantifies changes in the volume of buildings and urban expansion in Luxembourg City over the last two decades. For this purpose, we use airborne laser scanning (ALS) point cloud (2019) and geographic object-based image analysis (GEOBIA) of aerial orthophotos (2001, 2010) to extract 3D models, footprints of buildings and calculate the volume of individual buildings and B3DI in the frame of a 100 x 100 m grid, at the level of parcels, districts, and city scale. Findings indicate that the B3DI has notably increased in the past 20 years from 0.77 m(3)/m(2) (2001) to 0.9 m(3)/m(2) (2010) to 1.09 m(3)/m(2) (2019). Further, the increase in the volume of buildings between 2001-2019 was +16 million m(3). The general trend of changes in the cubic capacity of buildings per resident shows a decrease from 522 m(3)/resident in 2001, to 460 m(3)/resident in 2019, which, with the simultaneous appearance of new buildings and fast population growth, represents the dynamic development of the city.
C1 [Zieba-Kulawik, Karolina; Wezyk, Piotr] Agr Univ Krakow, Fac Forestry, Dept Forest Resource Management, PL-31425 Krakow, Poland.
   [Zieba-Kulawik, Karolina; Skoczylas, Konrad; Gerber, Philippe; Omrani, Hichem] Luxembourg Inst Socioecon Res, Urban Dev & Mobil Dept, L-4366 Esch Sur Alzette, Luxembourg.
   [Mustafa, Ahmed] New Sch, Urban Syst Lab, New York, NY 10003 USA.
   [Teller, Jacques] Univ Liege, Urban & Environm Engn Dept, LEMA, B-4000 Liege, Belgium.
C3 University of Agriculture in Krakow; The New School; University of Liege
RP Mustafa, A (corresponding author), New Sch, Urban Syst Lab, New York, NY 10003 USA.
EM karolina.zieba@urk.edu.pl; konrad.skoczylas@liser.lu;
   a.mustafa@newschool.edu; piotr.wezyk@urk.edu.pl;
   philippe.gerber@liser.lu; jacques.teller@uliege.be;
   hichem.omrani@liser.lu
RI Omrani, Hichem/AAP-8294-2021; TELLER, Jacques/I-8349-2019; Mustafa,
   Ahmed/Z-1388-2018; Zieba-Kulawik, Karolina/HGE-4521-2022; Omrani,
   Hichem/C-9647-2013; Gerber, Philippe/HTO-7248-2023
OI Mustafa, Ahmed/0000-0002-1592-6637; Zieba-Kulawik,
   Karolina/0000-0001-6082-9484; Omrani, Hichem/0000-0003-1484-3028;
   Teller, Jacques/0000-0003-2498-1838; Skoczylas,
   Konrad/0000-0002-3236-4955; Gerber, Philippe/0000-0003-2324-5708
FU INTER program; Fond National de la Recherche, Luxembourg (FNR); Fund for
   Scientific Research-FNRS, Belgium (F.R.S-FNRS) [19-14016367]
FX This research was funded by the INTER program, co-funded by the Fond
   National de la Recherche, Luxembourg (FNR) and the Fund for Scientific
   Research-FNRS, Belgium (F.R.S-FNRS), grant number
   19-14016367-"Sustainable Residential Densification" project (SusDens,
   2020-2023).
CR Aburas MM, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-6522-9
   Anees MM, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12081306
   Aguilar MA, 2014, IEEE T GEOSCI REMOTE, V52, P1259, DOI 10.1109/TGRS.2013.2249521
   [Anonymous], 2019, HOUSING OBSERVATORY
   [Anonymous], 2013, HOUSING OBSERVATORY
   [Anonymous], 2009, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
   [Anonymous], AIRB DEF SPAC PLEIAD
   [Anonymous], 2016, TERRASCAN USERS GUID
   [Anonymous], 2003, PROGRAMME DIRECTEUR
   Baatz M., 2000, Angewandte Geographische Informations-Verarbeitung XII, P12, DOI DOI 10.1016/J.ISPRSJPRS.2003.10.002
   Benz UC, 2004, ISPRS J PHOTOGRAMM, V58, P239, DOI 10.1016/j.isprsjprs.2003.10.002
   Bittner K, 2018, IEEE J-STARS, V11, P2615, DOI 10.1109/JSTARS.2018.2849363
   Blaschke T, 2014, ISPRS J PHOTOGRAMM, V87, P180, DOI 10.1016/j.isprsjprs.2013.09.014
   Brunner D, 2010, IEEE T GEOSCI REMOTE, V48, P1487, DOI 10.1109/TGRS.2009.2031910
   Chen G, 2018, GISCI REMOTE SENS, V55, P159, DOI 10.1080/15481603.2018.1426092
   Davydova K, 2016, PROC SPIE, V10004, DOI 10.1117/12.2240727
   Decoville A, 2016, J LAND USE SCI, V11, P331, DOI 10.1080/1747423X.2014.994567
   EMU, ANALYTICS
   Fan S, 2016, P 4 INT WORKSH EARTH, DOI [10.1109/eorsa.2016.7552783, DOI 10.1109/EORSA.2016.7552783]
   Foody GM, 2002, REMOTE SENS ENVIRON, V80, P185, DOI 10.1016/S0034-4257(01)00295-4
   González-Aguilera D, 2013, IEEE T GEOSCI REMOTE, V51, P1844, DOI 10.1109/TGRS.2012.2205931
   Kadhim N, 2018, IEEE GEOSCI REMOTE S, V15, P8, DOI 10.1109/LGRS.2017.2762424
   Kajimoto M, 2013, IEEE J-STARS, V6, P1418, DOI 10.1109/JSTARS.2013.2255584
   Kedron P, 2019, LANDSCAPE ECOL, V34, P2123, DOI 10.1007/s10980-019-00861-4
   Krehl A, 2016, ISPRS INT J GEO-INF, V5, DOI 10.3390/ijgi5060076
   Li MM, 2020, REMOTE SENS ENVIRON, V245, DOI 10.1016/j.rse.2020.111859
   Lillesand T.M., 2015, LIDAR DATA ANAL APPL, V7th, P475
   Maxar WorldView Legion, OUR NEXT GEN CONST
   Omrani H, 2017, GISCI REMOTE SENS, V54, P283, DOI 10.1080/15481603.2016.1265706
   Omrani H, 2015, INT J GEOGR INF SCI, V29, P1023, DOI 10.1080/13658816.2015.1008004
   Park Y, 2019, COMPUT ENVIRON URBAN, V75, P76, DOI 10.1016/j.compenvurbsys.2019.01.004
   Peng FF, 2016, INT ARCH PHOTOGRAMM, V41, P677, DOI 10.5194/isprsarchives-XLI-B3-677-2016
   Pili S, 2017, ECOL INDIC, V76, P71, DOI 10.1016/j.ecolind.2017.01.008
   San DK, 2010, INT ARCH PHOTOGRAMM, V38, P1063
   Santos T, 2013, INT ARCH PHOTOGRAMM, V40-4-W1, P71
   Shao Y, 2011, INT J REMOTE SENS, V32, P6929, DOI 10.1080/01431161.2010.517226
   Shirowzhan S, 2019, NEW METRICS SPATIAL
   Simonetto E, 2005, IEEE T GEOSCI REMOTE, V43, P2386, DOI 10.1109/TGRS.2005.853570
   Sohn G, 2007, ISPRS J PHOTOGRAMM, V62, P43, DOI 10.1016/j.isprsjprs.2007.01.001
   STATEC, 2019, ATL DEM LUX, V2
   Sun Y, 2019, REMOTE SENS EVENT JU, V90, P1
   Thiele A, 2007, IEEE T GEOSCI REMOTE, V45, P3583, DOI 10.1109/TGRS.2007.898440
   Tiwari A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12020223
   Toschi I, 2017, GIM INT, V31, P25
   Turlapaty A, 2012, IEEE J-STARS, V5, P89, DOI 10.1109/JSTARS.2011.2179792
   Ünsalan C, 2005, COMPUT VIS IMAGE UND, V98, P423, DOI 10.1016/j.cviu.2004.10.006
   Wang LZ, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0211964
   Wang P, 2018, ARXIV180704368
   Wang Z, 2015, PROG ELECTROMA RES M, V41, P11, DOI 10.2528/PIERM14073001
   Warth G, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12111730
   Wezyk P, 2018, EUR J REMOTE SENS, V51, P501, DOI 10.1080/22797254.2018.1455158
   Yu BL, 2010, LANDSCAPE URBAN PLAN, V98, P210, DOI 10.1016/j.landurbplan.2010.08.004
   Zeng C, 2014, THESIS
   Zhang CC, 2009, INT J DIGIT CRIME FO, V1, P1, DOI 10.4018/jdcf.2009070101
   Zhang T, 2017, IEEE J-STARS, V10, P3265, DOI 10.1109/JSTARS.2017.2669217
   Zhu Z, 2019, REMOTE SENS ENVIRON, V228, P164, DOI 10.1016/j.rse.2019.04.020
   Ziba-Kulawik K, 2019, KIERUN BADAW GEOGR I, V7, P199
   zyk P., 2016, ARCHIWUM FOTOGRAMETR, V28, P137, DOI 10.14681/AFKIT.2016.011
NR 58
TC 6
Z9 6
U1 3
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD NOV
PY 2020
VL 12
IS 21
AR 3668
DI 10.3390/rs12213668
PG 23
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA OR2HO
UT WOS:000589296200001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Gleeson, B
AF Gleeson, Brendan
TI What Role for Social Science in the 'Urban Age'?
SO INTERNATIONAL JOURNAL OF URBAN AND REGIONAL RESEARCH
LA English
DT Article
DE Social science; urbanology; critical urbanism
ID RESILIENCE; CLIMATE
AB There is growing recognition of a new human ascendancy: the urban age'. Rising interest in urbanism is evident in popular literature, the media and major global institutions. And yet, as with another great issue of the age, global warming, there is evidence that social science is being sidelined from a rapidly enlarging field of human concern. New urban knowledges are forwarded from the physical sciences and from popular commentary that are characterized by naturalism and its kindred tendencies, especially determinism. In this essay I consider why social scientific urbanism seems increasingly marginal to an ever broadening urban discussion. The regressive consequences for human knowledge and prospect are essayed. The essay's final part is prospectus: for a revivified social scientific urbanism that draws from Sayer's recent argument for renewal of critical human knowledge.
C1 Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Vic 3010, Australia.
C3 University of Melbourne
RP Gleeson, B (corresponding author), Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Vic 3010, Australia.
EM brendan.gleeson@unimelb.edu.au
OI Gleeson, Brendan/0000-0001-7264-7397
CR [Anonymous], CITY GUIDEBOOK ARMCH
   [Anonymous], DICT HUMAN GEOGRAPHY
   [Anonymous], 2012, URBAN STUDIES
   [Anonymous], 1978, IDEOLOGY SCI HUMAN G
   [Anonymous], HALF HUM SET GO URB
   [Anonymous], DIALOGUES HUMAN GEOG
   [Anonymous], NY TIMES
   [Anonymous], 1998, URBAN POLICY RES
   [Anonymous], SYDNEY MORNING HERAL
   [Anonymous], AUSTR FINANCIAL REV
   [Anonymous], 2012, ECONOMIST
   [Anonymous], GREEN CITY
   [Anonymous], DIALOGUES HUMAN GEOG
   [Anonymous], MAIL
   [Anonymous], 2011, Cities and climate change-global report on human settlements
   [Anonymous], DICT HUMAN GEOGRAPHY
   [Anonymous], 2010, URB DEV SER
   [Anonymous], 2012, CHILDR URB WORLD
   Barnes T., 2009, The Dictionary of Human Geography, V5th
   Beauregard RA, 2012, URBAN GEOGR, V33, P474, DOI 10.2747/0272-3638.33.4.474
   Beck U., 2007, World Risk Society
   Beck U, 2010, THEOR CULT SOC, V27, P254, DOI 10.1177/0263276409358729
   Bettencourt L, 2010, NATURE, V467, P912, DOI 10.1038/467912a
   Bhaskar Roy., 1979, The Possibility of Naturalism: A Philosophical Critique of the Contemporary Human Sciences
   Brugmann Jeb., 2009, Welcome to the Urban Revolution: How Cities are Changing the World
   Davis Mike., 2006, PLANET SLUMS
   Dear M.J., 2000, POSTMODERN URBAN CON
   Eagleton Terry., 1996, ILLUSIONS POSTMODERN
   Ellin Nan, 1999, Postmodern Urbanism
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Fainstein S., 2011, The Just City
   Florida R., 2011, The great reset: How the post-crash economy will change the way we live and work
   Glaeser E. L., 2011, TRIUMPH CITY URBAN S
   Harvey D, 2012, REBEL CITIES
   Harvey D., 1995, CONDITION POSTMODERN
   Harvey David, 1973, SOCIAL JUSTICE CITY, DOI DOI 10.1017/S0047279400001094
   Harvey David, 2005, BRIEF HIST NEOLIBERA
   Hodson M.Marvin., 2010, World cities and climate change: Producing urban ecological security
   Jacobs Jane., 2004, DARK AGE AHEAD
   Kasarda J., 2011, AEROTROPOLIS WAY WEL
   Luke TimothyW., 2003, Studies in Political Economy, P11
   Marcuse Peter., 2012, CITIES PEOPLE NOT PR
   Sandercock Leonie, 1998, COSMOPOLIS PLANNING
   Saunders Doug., 2010, Arrival City: How the last great migration is changing our world
   Sayer A., 2011, WHY THINGS MATTER PE
   Sayer A, 2009, CURR SOCIOL, V57, P767, DOI 10.1177/0011392109342205
   Sennett R., 2012, GUARDIAN        1204
   Shove E, 2010, THEOR CULT SOC, V27, P277, DOI 10.1177/0263276410361498
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sui DZ, 1999, URBAN GEOGR, V20, P403, DOI 10.2747/0272-3638.20.5.403
   West G., 2011, The surprising math of cities and corporations [video]
   World Bank, 2010, INDEP EVAL GROUP STU, P1, DOI 10.1596/978-0-8213-8653-8
NR 52
TC 18
Z9 19
U1 0
U2 20
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0309-1317
EI 1468-2427
J9 INT J URBAN REGIONAL
JI Int. J. Urban Reg. Res.
PD SEP
PY 2013
VL 37
IS 5
BP 1839
EP 1851
DI 10.1111/1468-2427.12058
PG 13
WC Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration; Urban Studies
GA 202FE
UT WOS:000323198200019
OA Bronze
DA 2025-04-22
ER

PT J
AU Grubesic, TH
   Durbin, KM
AF Grubesic, Tony H.
   Durbin, Kelly M.
TI Breastfeeding, Community Vulnerability, Resilience, and Disasters: A
   Snapshot of the United States Gulf Coast
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE breastfeeding; infant feeding; resilience; vulnerability; disasters;
   spatial analysis; inequity
ID CONTEXT; HEALTH; INFANT
AB Climate change-induced disasters are increasing in intensity and frequency in the United States. Infant feeding in the aftermath of an extreme event is particularly challenging, especially given large variations in community vulnerability and resilience. The aim of this study was to identify the physical, social, and spatial vulnerabilities of communities along the Gulf Coast and highlight locations where high (or low) breastfeeding initiation rates have the potential to offset (or exacerbate) infant feeding challenges in the wake of a disaster. We structured this study as a retrospective, spatial data analysis of breastfeeding initiation, the risk for extreme events, social vulnerability, and community resilience to uncover locations that may need post-disaster intervention. The results suggested that significant gaps in the geographic distribution of community risk, vulnerability, resilience, and breastfeeding initiation existed. While many metropolitan areas benefitted from high breastfeeding initiation rates, they were also the most "at risk" for disasters. Conversely, many rural communities faced less risk for extreme events but exhibited more social vulnerability and less resilience should a disaster strike. Prioritizing emergency response resources to support infant feeding after a disaster is critically important, but urban and rural communities have divergent profiles that will require variable strategies to ensure recovery. Our results highlight this variability and provide prescriptive guidance regarding where to potentially allocate emergency resources.
C1 [Grubesic, Tony H.] Univ Calif Riverside, Ctr Geospatial Sci, Sch Publ Policy, Riverside, CA 92521 USA.
   [Durbin, Kelly M.] Childbirth Int, Queenstown 9300, New Zealand.
C3 University of California System; University of California Riverside
RP Grubesic, TH (corresponding author), Univ Calif Riverside, Ctr Geospatial Sci, Sch Publ Policy, Riverside, CA 92521 USA.
EM tony.grubesic@ucr.edu
RI Grubesic, Tony/C-4273-2012
CR [Anonymous], 2019, HVRI BAS RES IND COM
   Anselin L, 2002, AGR ECON-BLACKWELL, V27, P247, DOI 10.1111/j.1574-0862.2002.tb00120.x
   Anstey EH, 2017, MMWR-MORBID MORTAL W, V66, P723, DOI 10.15585/mmwr.mm6627a3
   Asiodu IV, 2021, BREASTFEED MED, V16, P447, DOI 10.1089/bfm.2020.0314
   BFUSA, 2022, FIND BAB FRIENDL HOS
   Branca F., 2016, BREASTFEEDING EMERGE
   Callaghan WM, 2007, MATERN CHILD HLTH J, V11, P307, DOI 10.1007/s10995-007-0177-4
   Cappelli F, 2021, GLOBAL ENVIRON CHANG, V70, DOI 10.1016/j.gloenvcha.2021.102329
   CDC, 2020, BREASTF REP CARD US
   CDC, 2021, BREASTF IN RAT MAPS
   Census, 2022, CENS QUICK FACTS
   Chi GQ, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7416-1
   Childs J., 2021, WEATHER CHANNEL 0219
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Dall'Oglio I, 2020, J HUM LACT, V36, P687, DOI 10.1177/0890334419900151
   Davies IP, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0205825
   DeYoung S, 2018, J HUM LACT, V34, P242, DOI 10.1177/0890334417750144
   DeYoung SE, 2018, MATERN CHILD HLTH J, V22, P1826, DOI 10.1007/s10995-018-2585-z
   Esri, 2022, US COUNT
   FEMA, 2022, NAT RISK IND
   FEMA, 2022, NAT RISK IND TECHN D
   Garnier R., 2018, EPIDEMIOLOGY, DOI [10.1101/451435, DOI 10.1101/451435]
   Gribble K, 2018, J HUM LACT, V34, P40, DOI 10.1177/0890334417741469
   Gribble KD, 2011, INT BREASTFEED J, V6, DOI 10.1186/1746-4358-6-16
   Grubesic TH, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0242457
   Grubesic TH, 2019, J HUM LACT, V35, P790, DOI 10.1177/0890334419856615
   Grubesic TH, 2017, J HUM LACT, V33, P770, DOI 10.1177/0890334417706361
   Hahn K, 2019, BMC INT HEALTH HUM R, V19, DOI 10.1186/s12914-019-0205-7
   Hirani SAA, 2019, ADV NURS SCI, V42, pE1, DOI 10.1097/ANS.0000000000000231
   Hotez PJ, 2014, PLOS NEGLECT TROP D, V8, DOI 10.1371/journal.pntd.0002760
   HVRI, 2019, SOCIAL VULNERABILITY
   Kapinos K, 2019, J MED INTERNET RES, V21, DOI 10.2196/13967
   Kavilanz P., 2021, THE CNN
   Kavilanz P., 2021, CNN             0208
   MacQueen J., 1967, Some methods for classification and analysis of multivariate observations, VVolume 1, P281
   Méndez M, 2020, GEOFORUM, V116, P50, DOI 10.1016/j.geoforum.2020.07.007
   MirMohamadaliIe M, 2019, PREHOSP DISASTER MED, V34, P20, DOI 10.1017/S1049023X18001243
   NOAA, 2022, HIST HURR STORM TRAC
   Ratnayake Mudiyanselage Supipi, 2022, Women Birth, V35, P524, DOI 10.1016/j.wombi.2021.12.006
   Rhodes EC, 2021, INT J EQUITY HEALTH, V20, DOI 10.1186/s12939-021-01408-3
   Schleifstein M, 2020, NOLA NEW ORLEANS
   Segura-Pérez S, 2021, INT J EQUITY HEALTH, V20, DOI 10.1186/s12939-021-01388-4
   Underwood L., 2022, HR 6555 DEMAND ACT
   USDA, 2020, PERC TOT POP POV
   Wei R, 2022, GEOGR ANAL, V54, P405, DOI 10.1111/gean.12282
   Zadkovic S, 2021, J HUM LACT, V37, P323, DOI 10.1177/0890334420920223
NR 46
TC 6
Z9 6
U1 2
U2 6
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD OCT
PY 2022
VL 19
IS 19
AR 11847
DI 10.3390/ijerph191911847
PG 14
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA 5G4OM
UT WOS:000866979800001
PM 36231150
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Teklemariam, N
AF Teklemariam, Nathan
TI Sustainable Development Goals and Equity in Urban Planning: A
   Comparative Analysis of Chicago, Sao Paulo, and Delhi
SO SUSTAINABILITY
LA English
DT Article
DE sustainable development goals; social equity; participatory planning;
   urban planning; comparative social equity
ID SUPPORT-SYSTEM
AB Today, for the first time in the history of human civilization, over half of the world's population lives in urban areas. Due to this global urbanization, the United Nations included sustainable urban development in its recent Sustainable Development Goals (SDGs) agenda. SDG Goal 11 is one of 17 comprehensive SDGs, and it pays specific attention to making "cities and human settlements inclusive, safe, resilient and sustainable". This study comparatively analyzes the current state of participatory urban planning processes in three cities: Chicago, Illinois, U.S.; Sao Paulo, Brazil; and Delhi, India. Utilizing the cities' most recent master plans, a content analysis found that public engagement was a key instrument that they adopted in the production of their planning documents, but the level of engagement and tools used to engage the public differed among cities, with Chicago and Sao Paulo demonstrating more robust public engagement than Delhi. The historical context of the comparative countries' political, cultural, and socioeconomic development also plays a role in the degree to which a landscape for public engagement and participation exists. The study finds that the ideals of a just city can be determined by the level of participation with which cities engage their citizens during the planning process, and that sustainable urban development is further determined by the level of social equity that currently exists in a city itself.
C1 [Teklemariam, Nathan] Clemson Univ, Coll Behav Social & Hlth Sci, Dept Polit Sci, 2087 Barre Hall, Clemson, SC 29634 USA.
C3 Clemson University
RP Teklemariam, N (corresponding author), Clemson Univ, Coll Behav Social & Hlth Sci, Dept Polit Sci, 2087 Barre Hall, Clemson, SC 29634 USA.
EM nteklem@clemson.edu
OI Teklemariam, Nathan/0000-0002-8127-5035
CR Abercombie P., 1913, TOWN PLAN REV, V4, P185
   [Anonymous], 2020, Democracy Index 2019: A Year of Democratic Setbacks and Popular Protest, P25
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   [Anonymous], 2016, WORLDS CITIES 2016, DOI [10.18356/8519891f-en, DOI 10.18356/8519891F-EN]
   [Anonymous], 2014, World Urbanization Prospects, 2014 Revision United Nations
   [Anonymous], 2010, SOCIAL EQUITY PUBLIC
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Avilla E., 2014, FOLKLORE FREEWAY RAC
   Balsas, 2019, WALKABLE CITIES REVI
   Bolaffi G., 1992, Habitat Interna5onal, V16, P99
   Caldeira T, 2015, URBAN STUD, V52, P2001, DOI 10.1177/0042098014524461
   Cernea M., 1992, BUILDING BLOCKS PART
   Cheshmehzangi A., 2019, SUSTAINABLE URBAN DE
   Chicago Metropolitan Agency for Planning (CMAP), 2010, GO 2040 COMPR REG PL
   Cilliers EJ, 2014, ENVIRON PLANN B, V41, P413, DOI 10.1068/b39098
   Condon PatrickM., 2008, Design Charrettes for Sustainable Communities
   Coslovsky SV, 2015, INT J URBAN REGIONAL, V39, P1103, DOI 10.1111/1468-2427.12330
   Creswell J.W., 2017, RES DESIGN QUALITATI
   Delhi Development Authority, 2010, MAST PLAN DELH 2021
   Dodds A., 2013, Comparative public policy
   Doochin D., 2016, 1 WORLD GLOBAL URBAN
   Fahlberg A, 2016, HABITAT INT, V54, P10, DOI 10.1016/j.habitatint.2015.08.042
   Fainstein SS, 2014, INT J URBAN SCI, V18, P1
   Falco E, 2019, HABITAT INT, V94, DOI 10.1016/j.habitatint.2019.102038
   Forester J., 2001, The Deliberative Practitioner: Encouraging Participatory Planning Processes
   Gelan E, 2022, GEOJOURNAL, V87, P2883, DOI 10.1007/s10708-021-10404-7
   Genevey R., 2013, Reducing Inequalities: a sustainable development challenge
   Heller Patrick., 2015, Exclusion, Informality, and Predation in the Cities of Delhi: An Overview of the Cities of Delhi Project
   Hesketh K., 2011, INEQUALITY REPORT PA
   Hohi R.A., 1997, MAKING URBAN AM, V2nd ed.
   Howard E., 2003, TOMORROW PEACEFUL PA
   Howley K., 2005, COMMUNITY MEDIA PEOP
   Kitzmueller L., 2021, World Bank Blogs
   Koch F, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7120464
   LIJPHART A, 1975, COMP POLIT STUD, V8, P158, DOI 10.1177/001041407500800203
   Mansourian A, 2011, J SPAT SCI, V56, P269, DOI 10.1080/14498596.2011.623347
   Marx Karl., 1844, EC PHILOSOPHIC MANUS
   Olawale S, 2018, GEND BEHAV, V16, P12143
   Paydar M, 2018, SMART SUSTAIN BUILT, V7, P293, DOI 10.1108/SASBE-03-2017-0010
   PICKVANCE CG, 1986, INT J URBAN REGIONAL, V10, P162, DOI 10.1111/j.1468-2427.1986.tb00010.x
   Potts D., 2015, International Encyclopedia of the Social Behavioral Sciences, V2nd, P965, DOI DOI 10.1016/B978-0-08-097086-8.72096-4
   Przeworski A., 1970, LOGIC COMP SOCIAL IN
   Rebecchi A, 2021, EUR J PUBLIC HEALTH, V31, P281
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Ross Fiona., 2010, Raw Life, New Hope: Decency, Hope and Everyday Life in a Post-Apartheid Community
   Satterthwaite D, 2016, ENVIRON URBAN, V28, P99, DOI 10.1177/0956247816628435
   Smith Carl., 2006, The Plan of Chicago: Daniel Burnham and the Remaking of the American City
   SMITH RW, 1973, POLICY SCI, V4, P275, DOI 10.1007/BF01435125
   Spivak GayatriChakravorty., 1994, COLONIAL DISCOURSE P, P66
   Suzuki H., 2013, TRANSFORMING CITIES, DOI DOI 10.1596/978-0-8213-9745-9
   The City of Sao Paulo Department of Urban Development (SMDU), 2014, CIT SAO PAUL STRAT M
   UN, 2017, A/RES/71/256
   UN-Habitat, 2012, IMP DEC URB GOV BUIL
   UN-Habitat, 2014, EV NAT URB POL
   UN-Habitat Urban Planning, 2014, IMP DEV IN RED
   United Nations, 2017, PROGR SUST DEV GOAL
   United Nations SDG, 2022, IND MET REP
   von Hoffman A, 2000, HOUS POLICY DEBATE, V11, P299
   Wang R., 2017, NATL URBAN POLICY LI
   Zhang L, 2019, COMPUT ENVIRON URBAN, V74, P208, DOI 10.1016/j.compenvurbsys.2018.11.006
NR 60
TC 8
Z9 8
U1 3
U2 27
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2022
VL 14
IS 20
AR 13227
DI 10.3390/su142013227
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 5Q2QE
UT WOS:000873681100001
OA gold
DA 2025-04-22
ER

PT J
AU Chen, JQ
   Liang, C
   Liu, J
   Du, B
   Yin, Y
   Peng, QY
AF Chen, Jinqu
   Liang, Cheng
   Liu, Jie
   Du, Bo
   Yin, Yong
   Peng, Qiyuan
TI Resilience assessment of a highway-railway complementary network under
   rainstorms
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Highway -railway complementary network; Rainstorms; Resilience;
   Spatiotemporal distribution
ID TRANSPORTATION NETWORKS; SYSTEMS; VULNERABILITY; IMPACTS; EVENTS
AB With the increasing severity of global warming, rainstorms are occurring more frequently and severely affect the normal operation of transportation systems. Therefore, the ability of a highway-railway complementary (HRC) network to cope with rainstorms is examined. A resilience assessment model considering the rainfall intensity and its spatiotemporal distribution was used. A numerical experiment was conducted on the HRC network in Fujian Province, China, and the results indicate that the HRC network is more resilient to rainstorms than the highway and railway networks. A nonlinear positive correlation is observed between the network's resilience and rainfall intensity. Rainstorms from March to September severely affect the resilience of the network, particularly in June, August, and September of each year. In terms of resilience, Nan'an and Quanzhou are the most critical county and city, respectively. Furthermore, the impact of coastal cities on network's resilience is greater than that of inland cities.
C1 [Chen, Jinqu; Liang, Cheng; Yin, Yong; Peng, Qiyuan] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 611756, Peoples R China.
   [Chen, Jinqu; Du, Bo] Univ Wollongong, SMART Infrastruct Facil, Wollongong, NSW 2522, Australia.
   [Liu, Jie] Kunming Univ Sci & Technol, Fac Transportat Engn, Kunming 650093, Peoples R China.
   [Yin, Yong; Peng, Qiyuan] Natl United Engn Lab Integrated & Intelligent Tran, Chengdu 611756, Peoples R China.
   [Yin, Yong; Peng, Qiyuan] Natl Engn Lab Integrated Transportat Big Data Appl, Chengdu 611756, Peoples R China.
   [Yin, Yong] Southwest Jiaotong Univ, Yibin Res Inst, Yibin 644000, Peoples R China.
C3 Southwest Jiaotong University; University of Wollongong; Kunming
   University of Science & Technology; Southwest Jiaotong University
RP Yin, Y (corresponding author), Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 611756, Peoples R China.
EM yinyong@home.swjtu.edu.cn
RI Yin, Yong/X-2157-2019
OI DU, Bo/0000-0001-5790-4682; Chen, Jinqu/0000-0003-4334-5511
FU National Natural Science Foundation of China [U1834209]; National Key R
   &D Program of China [2017YFB1200700]; Yunnan Fundamental Research
   Projects [202301AU070052]; China Scholarship Council [202207000067]
FX This research was funded by the National Natural Science Foundation of
   China (U1834209) and National Key R &D Program of China (2017YFB1200700)
   and Yunnan Fundamental Research Projects (202301AU070052) . The first
   author is deeply grateful for financial support from the China
   Scholarship Council (202207000067) .
CR Aghababaei MT, 2021, J TRANSP GEOGR, V95, DOI 10.1016/j.jtrangeo.2021.103154
   Alabbad Y, 2021, SCI TOTAL ENVIRON, V793, DOI 10.1016/j.scitotenv.2021.148476
   Argyroudis SA, 2019, RELIAB ENG SYST SAFE, V191, DOI 10.1016/j.ress.2019.106567
   Aydin NY, 2018, INT J DISAST RISK RE, V31, P832, DOI 10.1016/j.ijdrr.2018.07.022
   Balakrishnan S, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101565
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   Chen JQ, 2022, IEEE T INTELL TRANSP, V23, P24841, DOI 10.1109/TITS.2022.3195937
   Chen JQ, 2022, PHYSICA A, V586, DOI 10.1016/j.physa.2021.126517
   Chen JQ, 2022, TRANSPORT RES REC, V2676, P342, DOI 10.1177/03611981211037888
   Chen Y., 2022, Journal of Advanced Transportation, V2022
   Chen ZH, 2019, TRANSPORT RES D-TR E, V69, P168, DOI 10.1016/j.trd.2019.01.030
   China Meteorological Administration, 2020, Yearbook of Meteorological Disasters in China.
   China Railway Nanchang Group Co. Ltd, 2021, Law for rainfall warning and prevention of.
   DAFERMOS SC, 1969, J RES NBS B MATH SCI, VB 73, P91, DOI 10.6028/jres.073B.010
   Fang C, 2022, TRANSPORT RES D-TR E, V109, DOI 10.1016/j.trd.2022.103331
   Fang C, 2020, P I MECH ENG O-J RIS, V234, P235, DOI 10.1177/1748006X19889149
   Fu CB, 2014, ADV ATMOS SCI, V31, P480, DOI 10.1007/s00376-013-2102-7
   Fujian Provincial Bureau of Statistics, 2022, Fujian Statistical Yearbook 2022
   Glass C, 2022, COMPUT IND ENG, V168, DOI 10.1016/j.cie.2022.107978
   Hong L, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106622
   Huang P, 2023, TRANSPORT RES C-EMER, V152, DOI 10.1016/j.trc.2023.104155
   Huffman G., 2019, GPM IMERG final precipitation L3 half hourly 0.1 degreex 0.1 degree V06, DOI [DOI 10.5067/GPM/IMERG/3B-HH/06, 10.5067/GPM/IMERG/3B-MONTH/06, DOI 10.5067/GPM/IMERG/3B-MONTH/06]
   Jia L, 2022, NAT HAZARDS, V110, P1097, DOI 10.1007/s11069-021-04981-6
   Kermanshah A, 2017, NAT HAZARDS, V86, P151, DOI 10.1007/s11069-016-2678-1
   Lam W.H.K., 1998, J INFRASTRUCT SYST, V4, P19
   Liao TY, 2018, NAT HAZARDS, V93, P469, DOI 10.1007/s11069-018-3310-3
   Liu J, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-7691
   Liu J, 2022, TRANSPORT RES A-POL, V165, P471, DOI 10.1016/j.tra.2022.09.011
   [刘玮蔚 Liu Weiwei], 2022, [中国公路学报, China Journal of Highway and Transport], V35, P38
   Liu X, 2019, China Transportation Review, V41, P113
   Martello MV, 2021, TRANSPORT RES D-TR E, V97, DOI 10.1016/j.trd.2021.102908
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Misra S, 2022, J INFRASTRUCT SYST, V28, DOI 10.1061/(ASCE)IS.1943-555X.0000679
   Morelli AB, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2021.102770
   Mudigonda S, 2019, J TRANSP SAF SECUR, V11, P491, DOI 10.1080/19439962.2018.1436105
   Muriel-Villegas JE, 2016, RELIAB ENG SYST SAFE, V152, P151, DOI 10.1016/j.ress.2016.03.006
   Ortuzar JD, 2011, MODELLING TRANSPORT, 4TH EDITION
   Ouyang M, 2019, RISK ANAL, V39, P180, DOI 10.1111/risa.12708
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V142, P248, DOI 10.1016/j.ress.2015.05.013
   Papilloud T, 2021, TRANSPORT RES D-TR E, V100, DOI 10.1016/j.trd.2021.103045
   Postance B, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5555
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Qiang Y, 2020, INT J GEOGR INF SCI, V34, P2434, DOI 10.1080/13658816.2019.1694681
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Sanderson D, 2022, J INFRASTRUCT SYST, V28, DOI 10.1061/(ASCE)IS.1943-555X.0000694
   Sarkissian RD, 2020, NAT HAZARDS, V103, P121, DOI 10.1007/s11069-020-03962-5
   Syakur MA, 2018, IOP CONF SER-MAT SCI, V336, DOI 10.1088/1757-899X/336/1/012017
   The State Council of the People's Republic of China, 2004, Regulation on the Implementation of the Road Traffic Safety Law of the People's Republic of China
   Verschuur J, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102393
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wang D, 2021, STRUCT INFRASTRUCT E, V17, P1508, DOI 10.1080/15732479.2020.1815804
   Wang TN, 2019, TRANSPORT RES D-TR E, V77, P403, DOI 10.1016/j.trd.2019.02.007
   Wang W., Traffic engineering
   Wu QR, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11110564
   Zhou L, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102362
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   Zhou YF, 2021, PHYSICA A, V577, DOI 10.1016/j.physa.2021.126053
NR 57
TC 18
Z9 18
U1 34
U2 120
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1361-9209
EI 1879-2340
J9 TRANSPORT RES D-TR E
JI Transport. Res. Part D-Transport. Environ.
PD AUG
PY 2023
VL 121
AR 103841
DI 10.1016/j.trd.2023.103841
EA AUG 2023
PG 21
WC Environmental Studies; Transportation; Transportation Science &
   Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Transportation
GA W6WB2
UT WOS:001093000600001
DA 2025-04-22
ER

PT J
AU Kithiia, J
   Lyth, A
AF Kithiia, Justus
   Lyth, Anna
TI Urban wildscapes and green spaces in Mombasa and their potential
   contribution to climate change adaptation and mitigation
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE climate change adaptation; green infrastructure; mitigation; Mombasa;
   urban ecosystems; wildscapes
ID CITIES; RESILIENCE
AB Well-planned urban green landscapes, including wildscapes and green spaces, have the potential to contribute to climate change adaptation and mitigation. Yet for cities in low-income countries, the value of these urban landscapes in climate change response strategies is often disregarded and remains largely unexploited and unaccounted for. This paper discusses the potential role of urban green landscapes as a "soft engineering" climate change response strategy, and calls for the pursuance of management practices that preserve and promote the use of these urban spaces. It does so by combining theoretical arguments with an empirical example based on an innovative and novel approach to landscape rehabilitation, the Lafarge Ecosystems Programme, in the coastal city of Mombasa, Kenya. The paper finds that a well-managed system of green landscapes in resource-poor urban areas can generate net social benefits under a range of future scenarios. It further finds that climate change adaptation and mitigation responses can be initiated by a range of stakeholders operating at all scales.
C1 [Kithiia, Justus] Macquarie Univ, Sydney, NSW 2109, Australia.
   [Lyth, Anna] Univ Tasmania, Sch Geog & Environm Studies, Hobart, Tas 7001, Australia.
C3 Macquarie University; University of Tasmania
RP Kithiia, J (corresponding author), Macquarie Univ, Sydney, NSW 2109, Australia.
EM justus.kithiia@mq.edu.au; anna.lyth@utas.edu.au
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], INT C INF KNOWL ENG
   [Anonymous], ROUND TABL DISC ROL
   [Anonymous], URBAN WILDSCAPES
   [Anonymous], CITIES CLIMATE CHANG
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], NE186 USDA FOR SERV
   [Anonymous], GLOBAL ENV CHANGE
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], 2006, 86 AMS ANN M
   [Anonymous], UPD TOUR STAT
   [Anonymous], LAWS KEN
   [Anonymous], 2009 STATE WORLD WAR
   [Anonymous], SHIFTING SUSTAINABIL
   [Anonymous], CLIMATE CHANGE ADAPT
   [Anonymous], CABE MONTHLY NEW NOV
   [Anonymous], MOMB DISTR DEV PLAN
   [Anonymous], KEN VIS 2030
   [Anonymous], LAWS KEN
   [Anonymous], J MARINE SCI ENV
   [Anonymous], GLOBAL ENV CHANGE B
   [Anonymous], FORESTRY
   [Anonymous], 39298 LBL
   [Anonymous], HEAT WAVES SOCIAL AU
   [Anonymous], URBAN WILDSCAPES
   [Anonymous], NATION NEWS JUN
   [Anonymous], WASTELAND PARADISE B
   [Anonymous], COAST PROV UNPUB
   Awuor CB, 2008, ENVIRON URBAN, V20, P231, DOI 10.1177/0956247808089158
   Chambers N., 2000, Sharing Nature's Interest: Ecological footprints as an indicator of sustainability
   Corburn J, 2009, URBAN STUD, V46, P413, DOI 10.1177/0042098008099361
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Dwivedi P, 2009, APPL GEOGR, V29, P194, DOI 10.1016/j.apgeog.2008.08.008
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   González-García A, 2009, BIODIVERS CONSERV, V18, P1909, DOI 10.1007/s10531-008-9564-4
   Hagerman S, 2010, GLOBAL ENVIRON CHANG, V20, P192, DOI 10.1016/j.gloenvcha.2009.10.005
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Harris JA, 2006, RESTOR ECOL, V14, P170, DOI 10.1111/j.1526-100X.2006.00136.x
   Hulme M, 2001, CLIM RES, V17, P145, DOI 10.3354/cr017145
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   Jim CY, 2009, CITIES, V26, P187, DOI 10.1016/j.cities.2009.03.003
   Kithiia J, 2010, CITIES, V27, P466, DOI 10.1016/j.cities.2010.08.001
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mwandosya M., 1998, The Assessment of Vulnerability and Adaptation to Climate Change Impacts in Tanzania
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   ROSENFELD AH, 1995, ENERG BUILDINGS, V22, P255, DOI 10.1016/0378-7788(95)00927-P
   Sallema RE, 2008, AFR J ENV SCI TECH, V2, P239
   Santamouris M, 2007, ENERG BUILDINGS, V39, P859, DOI 10.1016/j.enbuild.2007.02.008
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tanner T, 2008, IDS BULL-I DEV STUD, V39, P1
   Taylor W., 2009, Urban poverty and vulnerability in Kenya: The urgent need for coordinated action to reduce urban poverty
NR 57
TC 47
Z9 52
U1 1
U2 78
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD APR
PY 2011
VL 23
IS 1
BP 251
EP 265
DI 10.1177/0956247810396054
PG 15
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA 749SS
UT WOS:000289490400017
OA Bronze
DA 2025-04-22
ER

PT J
AU Krellenberg, K
   Welz, J
   Link, F
   Barth, K
AF Krellenberg, Kerstin
   Welz, Juliane
   Link, Felipe
   Barth, Katrin
TI Urban vulnerability and the contribution of socio-environmental
   fragmentation: Theoretical and methodological pathways
SO PROGRESS IN HUMAN GEOGRAPHY
LA English
DT Article
DE socio-environmental fragmentation; theoretical and methodological
   approach; urban vulnerability
ID CLIMATE-CHANGE; ADAPTIVE CAPACITY; ADAPTATION; CITY; CITIES; RESILIENCE;
   SANTIAGO; HAZARDS; RISK; FRAMEWORK
AB As ongoing parallel processes, urbanization and climate change call for overarching context-specific responses that tackle the complex challenges involved and include a comprehensive data base to identify the most pressing action needs. We argue that urban vulnerabilities must take centre stage in this regard. What comes to the fore in the context of urban vulnerability to climate-related hazards is the interaction of human systems with the environment. Understanding the impact of changes in temperature and precipitation on socio-ecological systems is therefore not enough. Insights into the complexity of urban development, social inequalities, economics and politics are needed. To address this complexity, the article focuses on the challenges associated with socio-environmental fragmentation patterns and residential vulnerability, since the interlinkages between them contribute substantially to furthering insights into the specifics of 'urban' vulnerabilities to climate-related hazards. An approach that combines socio-environmental fragmentation and residential vulnerability is presented. This approach explores socio-environmental urban developments as well as individual perceptions and capacities.
C1 [Krellenberg, Kerstin; Welz, Juliane] Helmholtz Ctr Environm Res, Dept Urban & Environm Sociol, Leipzig, Germany.
   [Link, Felipe] Pontificia Univ Catolica Chile, Inst Estudios Urbanos & Terr, Urban Sociol, Santiago, Chile.
   [Barth, Katrin] Humboldt Univ, Berlin, Germany.
C3 Helmholtz Association; Helmholtz Center for Environmental Research
   (UFZ); Pontificia Universidad Catolica de Chile; Humboldt University of
   Berlin
RP Krellenberg, K (corresponding author), Helmholtz Ctr Environm Res GmbH UFZ, Permoser Str 15, D-04318 Leipzig, Germany.
EM kerstin.krellenberg@ufz.de
RI Link, Felipe/MCK-2867-2025; Krellenberg, Kerstin/B-7722-2017
OI Link, Felipe/0000-0001-5355-5489; Welz, Juliane/0000-0001-9049-3088;
   Krellenberg, Kerstin/0000-0003-4645-5775
FU 'Initiative and Networking Fund' of the Helmholtz Association (Germany);
   Chilean National Commission for Scientific and Technological Research -
   CONICYT [CONICYT - DRI 12120003]; Fondap [15130009, 15110020]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This work
   was supported by the 'Initiative and Networking Fund' of the Helmholtz
   Association (Germany) and the Chilean National Commission for Scientific
   and Technological Research - CONICYT, through the project CONICYT - DRI
   12120003 and Fondap: 15130009 and 15110020.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alwang J., 2001, DISCUSSION PAPER SER, V0115
   [Anonymous], 2012, AREAS RISK CONCEPT M
   [Anonymous], MERKUR
   [Anonymous], 2012, TRANSNATIONALISM URB
   [Anonymous], EURE
   [Anonymous], 14 U TOR DEP GEOGR
   [Anonymous], ERTRAGE FORSCHUNG
   [Anonymous], ROSTRO URBANO AM LAT
   [Anonymous], CLUVA DELIVERABLE D
   [Anonymous], SERIE POBLACION DESA
   [Anonymous], 1983, INTERPRETATIONS CALA
   [Anonymous], 2008, REV CIUDAD
   [Anonymous], KAPITALISTISCHE STAD
   [Anonymous], 1982, Geographische Rundschau
   [Anonymous], HANDWORTERBUCH RAUMO
   [Anonymous], SANTIAGO GLOBALIZACI
   [Anonymous], LEGUA REVERSO HIST P
   [Anonymous], BITACORA
   [Anonymous], REV ELECT GEOGRAFIA
   [Anonymous], ENCY HUMAN GEOGRAPHY
   [Anonymous], SPIEL OHNE GRENZEN A
   [Anonymous], 11 N AERUS C BRUSS 2
   [Anonymous], 1999, MITIG ADAPT STRAT GL
   [Anonymous], 2006, MEASURING VULNERABIL
   [Anonymous], DISCUSIONES PUBLICAS
   [Anonymous], GEOGRAPHISCHE BERICH
   [Anonymous], MAT OKONOMIE STADTPL
   [Anonymous], 2014, BUILT ENV
   [Anonymous], MANNHEIMER GEOGRAPHI
   [Anonymous], THESIS
   [Anonymous], STADTOKOLOGIE FACHBU
   [Anonymous], GRUNDRISS ALLGEMEINE
   Ascher F., 1995, METAPOLIS AVENIR VIL
   Bankoff G, 2001, DISASTERS, V25, P19, DOI 10.1111/1467-7717.00159
   BANKOFF G., 2004, Mapping vulnerability: disasters, development and people, P37
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Barrows HH, 1923, ANN ASSOC AM GEOGR, V13, P1
   Birkenholtz T, 2012, PROG HUM GEOG, V36, P295, DOI 10.1177/0309132511421532
   Bizama G, 2011, REV GEOGR NORTE GD, P125
   Blaikie P., 1994, RISK NATURAL HAZARDS
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Borsdorf A, 2003, EURE, V29, P37
   BORSDORF A., 2002, Geographica Helvetica, V57, P300, DOI DOI 10.5194/GH-57-300-2002
   Bourdieu Pierre., 1983, SOZIALE UNGLEICHHEIT, P183
   Brown L.A., 1970, GEOGR ANN, V52B, P1
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bull-Kamanga L, 2003, ENVIRON URBAN, V15, P193, DOI 10.1177/095624780301500109
   Burgess Ernest., 1926, THE URBAN COMMUNITY
   BURTON I, 1968, 1 U TOR DEP GEOGR
   Burton Ian., 1978, The Environment as Hazard
   Button C, 2013, LOCAL ENVIRON, V18, P705, DOI 10.1080/13549839.2013.798632
   CANNON T, 1993, NATURAL DISASTERS: PROTECTING VULNERABLE COMMUNITIES, P92
   Cannon T., 1994, Disasters, Development and Environment, DOI DOI 10.1108/
   Cannon T., 2008, Reducing people's vulnerability to natural hazards communities and resilience
   Capron G., 2006, Trace, V49, P65, DOI 10.22134/TRACE.49.2006.469
   Cardona O., 2004, MAPPING VULNERABILIT
   CHAMBERS R, 1989, IDS BULL-I DEV STUD, V20, P1, DOI 10.1111/j.1759-5436.1989.mp20002001.x
   Chambers R., 1991, SUSTAINABLE RURAL LI
   Clark G.E., 1998, Mitigation and Adaptation Strategies for Global Change, V3, P59, DOI DOI 10.1023/A:1009609710795
   Cutter S.L., 1993, LIVING RISK GEOGRAPH
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Dammert L, 2004, EURE, V30, P87
   Depietri Y, 2012, SUSTAIN SCI, V7, P95, DOI 10.1007/s11625-011-0142-4
   Downing T.E., 2001, Climate change vulnerability: Linking impacts and adaptation
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Eriksen S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P495, DOI DOI 10.1017/S0021859610000687K
   Florida R., 2005, Cities and the creative class, DOI DOI 10.1016/j.landurbplan.2013.04.009
   Friedrichs J., 1983, Stadtanalyse. Soziale und raumliche Organisation der Gesellschaft, V3
   Fuchs S, 2011, NAT HAZARDS, V58, P609, DOI 10.1007/s11069-011-9825-5
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   GALSTER GC, 1995, HOUS POLICY DEBATE, V6, P7, DOI 10.1080/10511482.1995.9521180
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Graham S., 2001, SPLINTERING URBANISM
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Harrison J, 2014, URBAN STUD, V51, P2249, DOI 10.1177/0042098013500699
   Harrison P, 2003, CONFRONTING FRAGMENT, P13
   Harvey David, 1973, SOCIAL JUSTICE CITY, DOI DOI 10.1017/S0047279400001094
   HAWLEY AH, 1957, LAND ECON, V33, P337, DOI 10.2307/3144311
   Heinrichs D, 2012, RISK HABITAT MEGACITY, P1, DOI 10.1007/978-3-642-11544-8
   Heinrichs D, 2013, INT J URBAN REGIONAL, V37, P1865, DOI 10.1111/1468-2427.12031
   Hewitt K., 1997, Regions of risk. A geographical introduction to disasters
   Hidalgo R., 2005, Transformaciones urbanas y procesos territoriales: Lecturas del nuevo dibujo de la ciudad latinoamericana
   Hidding M, 2000, LANDSCAPE URBAN PLAN, V48, P121, DOI 10.1016/S0169-2046(00)00036-0
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hufschmidt G, 2011, NAT HAZARDS, V58, P621, DOI 10.1007/s11069-011-9823-7
   Inostroza L, 2013, J ENVIRON MANAGE, V115, P87, DOI 10.1016/j.jenvman.2012.11.007
   Irwin EG, 2007, P NATL ACAD SCI USA, V104, P20672, DOI 10.1073/pnas.0705527105
   JAY M, 2001, Habitat Debate, V7, P1
   Jirón P, 2014, EURE, V40, P5, DOI 10.4067/S0250-71612014000300001
   Kasperson R.E., 2001, GLOBAL ENV RISK
   Kasperson R.E., 2005, ECOSYSTEMS HUMAN WEL, Vi., P143
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kirsch S, 2001, CURR ANTHROPOL, V42, P167, DOI 10.1086/320006
   Krellenberg K, 2014, APPL GEOGR, V55, P61, DOI 10.1016/j.apgeog.2014.08.013
   Krellenberg K, 2013, APPL GEOGR, V38, P86, DOI 10.1016/j.apgeog.2012.11.017
   Kuhlicke C, 2015, NAT HAZARD EARTH SYS, V15, P2359, DOI 10.5194/nhess-15-2359-2015
   Landman K, 2011, INTERNATIONAL HANDBOOK OF URBAN POLICY, VOL 3: ISSUES IN THE DEVELOPING WORLD, P39
   Leichenko R. M., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P1, DOI 10.1023/A:1015860421954
   Lewis J., 1999, DEV DISASTER PRONE P
   Lewis J., 1982, ENVIRONMENTALIST, V2, P233
   Li TA, 2010, LANDSCAPE ECOL, V25, P839, DOI 10.1007/s10980-010-9461-6
   Lippuner Roland., 2005, Raum, Systeme, Praktiken. Zum Verhaltnis von Alltag
   Low Martina., 2001, RAUMSOZIOLOGIE
   Low S, 2006, CYBERGEO, DOI 10.4000/cybergeo.3207
   MARCUSE P, 1989, INT J URBAN REGIONAL, V13, P697, DOI 10.1111/j.1468-2427.1989.tb00142.x
   Miller F, 2010, ECOL SOC, V15
   Morrow BH, 1999, DISASTERS, V23, P1, DOI 10.1111/1467-7717.00102
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Newell B, 2005, GLOBAL ENVIRON CHANG, V15, P299, DOI 10.1016/j.gloenvcha.2005.06.003
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Opdam P, 2004, BIOL CONSERV, V117, P285, DOI 10.1016/j.biocon.2003.12.008
   Pahl R.E., 1977, Captive cities: Studies in the political economy of cities and regions, P49
   PAHL RE, 1966, SOCIOL RURALIS, V6, P299, DOI 10.1111/j.1467-9523.1966.tb00537.x
   Pantuliano S, 2012, DISASTERS, V36, pS1, DOI 10.1111/j.1467-7717.2012.01282.x
   Park RE, 1915, AM J SOCIOL, V20, P577, DOI 10.1086/212433
   Parnreiter christof, 2007, HIST GEOGRAPHIEN VER
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2002, INT DEV PLANN REV, V24, P59, DOI 10.3828/idpr.24.1.4
   Pelling M., 2011, Coping with Global Environmental Change, Disasters and Security: Threats, Challenges, Vulnerabilities and Risks, Hexagon Series on Human and Environmental Security and Peace, P549, DOI [10.1007/978-3-642-17776-7_29, DOI 10.1007/978-3-642-17776-7_29]
   Pelling M., 2003, VULNERABILITY CITIES
   Pelling M, 2006, OPEN HOUSE INT, V31, P125
   Prevot ShapiraM., 2001, Perfiles Latinoamericanos
   Prévôt-Schapira MF, 2008, EURE, V34, P73
   Redfield R, 1954, ECON DEV CULT CHANGE, V3, P53, DOI 10.1086/449678
   Rex J., 1967, RACE COMMUNITY C
   Romero-Lankao P, 2011, CURR OPIN ENV SUST, V3, P113, DOI 10.1016/j.cosust.2011.02.002
   ROSEMAN CC, 1971, ANN ASSOC AM GEOGR, V61, P589, DOI 10.1111/j.1467-8306.1971.tb00809.x
   Salingaros N.A., 2005, Principles of urban structure
   Schmid Christian., 2005, Stadt, Raum und Gesellschaft
   Schroer M., 2006, Raume, Orte, Grenzen: Auf dem Weg zu einer Soziologie des Raums
   Schteingart M., 2001, Perfiles Latinoamericanos: Revista de La Facultad Latinoamericana de Ciencias Sociales, Sede Mexico, P13
   Shevky E., 1955, SOCIAL AREA ANAL THE
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   SUKOPP H, 1988, LANDSCAPE URBAN PLAN, V15, P39, DOI 10.1016/0169-2046(88)90015-1
   Truffello R, 2015, EURE, V41, P49, DOI 10.4067/S0250-71612015000100003
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   Vidal R., 1999, Revista Geogrfica de Valparaso, V29, P149
   WATTS MJ, 1993, PROG HUM GEOG, V17, P43, DOI 10.1177/030913259301700103
   Weichselgartner J., 2001, DISASTER PREV MANAG, V10, P85, DOI [10.1108/09653560110388609, DOI 10.1108/09653560110388609]
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Weiland U, 2011, ECOL INDIC, V11, P1074, DOI 10.1016/j.ecolind.2010.12.007
   Werlen B., 1987, GESELLSCHAFT HANDLUN
   White G.F., 1974, NATURAL HAZARDS LOCA
   Wilbanks T, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P357
   Wirth L, 1938, AM J SOCIOL, V44, P1, DOI 10.1086/217913
   Wisner B., 2004, AT RISK, V2nd
   Wolpert J., 1965, Papers of the Regional Science Association, V15, P159, DOI DOI 10.1111/J.1435-5597.1965.TB01320.X
NR 154
TC 51
Z9 60
U1 0
U2 95
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0309-1325
EI 1477-0288
J9 PROG HUM GEOG
JI Prog. Hum. Geogr.
PD AUG
PY 2017
VL 41
IS 4
BP 408
EP 431
DI 10.1177/0309132516645959
PG 24
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA EZ4JW
UT WOS:000404680400001
DA 2025-04-22
ER

PT J
AU Recio, RB
   Mateo-Babiano, I
   Roitman, S
AF Recio, Redento B.
   Mateo-Babiano, Iderlina
   Roitman, Sonia
TI Revisiting policy epistemologies on urban informality: Towards a
   post-dualist view
SO CITIES
LA English
DT Article
DE Urban informality; Street vending; Policy epistemologies; Post-dualist
   approach; Structuration theory
ID STREET-VENDORS; CITY; POLITICS; CITIZENSHIP; MARKETS; TRADERS; SPACES;
   PLACE; CHINA
AB The presence of street vending in the urban global South indicates a vibrant economy that is often tagged as informal. When situated in the larger contexts, it persists in an atmosphere of poverty and inequality. Amid the social conditions that produce economic vulnerability, how do state institutions regulate urban informal vending? What policies do they enforce to manage the insecurity, resilience and resistance of street vendors? What are the emerging patterns from these regulations? This paper presents and analyzes a set of policy epistemologies based on state rules on informal vending in selected global South cities.
   Building on the structuration theory, the paper draws from secondary data and demonstrates that understanding policy orientations in urban informality requires looking into the structure-agency interaction. It points out the theoretical and empirical implications of this approach to urban studies and planning research. It proffers a post-dualist lens in examining rules, relations, and interests in urban informality. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Recio, Redento B.; Mateo-Babiano, Iderlina; Roitman, Sonia] Univ Queensland, Sch Geog Planning & Environm Management, Brisbane, Qld 4072, Australia.
C3 University of Queensland
RP Recio, RB (corresponding author), Univ Queensland, Sch Geog Planning & Environm Management, Brisbane, Qld 4072, Australia.
EM r.recio@uq.edu.au
RI Roitman, Sonia/AAT-6356-2020; Mateo-Babiano, Iderlina/B-1027-2012
OI Roitman, Sonia/0000-0001-6555-8062; Mateo-Babiano,
   Iderlina/0000-0001-9097-2126; Recio, Redento/0000-0002-2063-054X
CR Alcazaren P., 2011, LUNGSOD ISKWATER EVO
   Aliaga L. L., 2004, EC SPATIAL BEHAV STR
   Alva RJ, 2014, STATUTE LAW REV, V35, P181, DOI 10.1093/slr/hmt021
   [Anonymous], 2009, Is informal normal? Towards more and better jobs in developing countries
   [Anonymous], 1963, PEDDLERS PRINCES SOC
   [Anonymous], 2006, Cityscape
   [Anonymous], 2003, MYSTERY CAPITAL WHY
   [Anonymous], THE SHARED SPACE
   [Anonymous], 2007, I PLANNING
   [Anonymous], 1995, REALIST SOCIAL THEOR
   [Anonymous], 1972, EMPLOYMENT INCOMES E
   [Anonymous], 1986, The Constitution of Society: Outline of the theory of structuration
   Archer M., 2017, Structure, Agency and the Internal Conversation
   Batréau Q, 2016, CITY COMMUNITY, V15, P29, DOI 10.1111/cico.12150
   Bayat A, 2000, INT SOCIOL, V15, P533, DOI 10.1177/026858000015003005
   Bayat Asef., 1997, Street Politics: Poor People's Movements in Iran
   Bhowmik S., 2005, Economic and Political Weekly, V40
   Bishwapriya Sanyal., 2010, CROSSING BORDERS INT, P329
   Bose S., 2013, Labor Law Journal, V64, P165
   Bourdieu P., 1990, OTHER WORDS
   Bromley R., 2000, INT J SOCIOL SOC POL, V20, P1, DOI [10.1108/01443330010789052, DOI 10.1108/01443330010789052]
   Brown A, 2010, URBAN STUD, V47, P666, DOI 10.1177/0042098009351187
   Carrieri AD, 2011, CAN J ADM SCI, V28, P217, DOI 10.1002/CJAS.207
   Chakrabarty BK, 2001, CITIES, V18, P331, DOI 10.1016/S0264-2751(01)00026-9
   Cooper Frederick., 1987, AFRICAN WATERFRONT U
   Coquery-Vidrovitch Catherine., 1991, African Studies Review, VXXIV, P1, DOI DOI 10.2307/524256
   Cross JohnC., 1998, Informal Politics. Street Vendors and the State in Mexico City
   Crossa V, 2009, INT J URBAN REGIONAL, V33, P43, DOI 10.1111/j.1468-2427.2008.00823.x
   Daniels PW, 2004, CITIES, V21, P501, DOI 10.1016/j.cities.2004.08.002
   De Soto H., 1988, Beyond the Informal Sector Including the excluded in Developing Countries Institute for Contemporary Studies, P15
   Donovan MG, 2008, URBAN STUD, V45, P27, DOI 10.1177/0042098007085100
   Dovey K, 2012, INT DEV PLANN REV, V34, P349, DOI 10.3828/idpr.2012.23
   Economic Social and Cultural Rights - Asia, 2002, COMP IN JOINTL UND S
   Etimade F., 2004, PILIPINAS, P32
   Flock R, 2016, POPUL SPACE PLACE, V22, P158, DOI 10.1002/psp.1892
   Gibbings S, 2013, CITY SOC, V25, P235, DOI 10.1111/ciso.12018
   Giddens A., 1998, CONVERSATIONS ANTHON
   Hansen K.T., 2004, Reconsidering informality: Perspectives from urban Africa, P62
   Hanser A., 2016, CHINA QUART, P1, DOI DOI 10.1017/S0303741016000278
   HART K, 1973, J MOD AFR STUD, V11, P61, DOI 10.1017/S0022278X00008089
   Hlela K., 2003, FORMAL POLICIES INFO
   Holston J., 1998, MAKING INVISIBLE VIS
   Hunt S, 2009, ENVIRON PLANN D, V27, P331, DOI 10.1068/d1806
   ILLY HF, 1986, POLICY SCI, V19, P61, DOI 10.1007/BF02124484
   Itikawa L, 2004, CLANDESTINE GEOMETRI
   Jenkins, 2002, PLENARY SESSION FORM
   Kelling GeorgeL., 1996, Fixing Broken Windows: Restoring Order and Reducing Crime in our Communities
   Ling C, 2014, COMMUNITY DEV J, V49, P4, DOI 10.1093/cdj/bss069
   Lyons M, 2013, HAGUE J RULE LAW, V5, P74, DOI 10.1017/S1876404512001030
   McGee T., 1973, HAWKERS HONG KONG ST
   McGEE T.G., 1977, HAWKERS SE ASIAN CIT
   Middleton A, 2003, PROG PLANN, V59, P71, DOI 10.1016/S0305-9006(02)00061-2
   Musoni F, 2010, J S AFR STUD, V36, P301, DOI 10.1080/03057070.2010.485786
   Parker J., 2000, STRUCTURATION
   Peña S, 1999, HABITAT INT, V23, P363, DOI 10.1016/S0197-3975(99)00012-0
   Perry G. E, 2007, The World Bank, DOI DOI 10.1596/978-0-8213-7092-6
   Portes Alejandro., 1983, Review, V7, P151
   Rapley John., 2002, UNDERSTANDING DEV TH
   Recio R. B., 2010, THESIS
   RECIO RB, 2015, J URBAN REGIONAL PLA, V2, P18
   Recio RB, 2013, ENVIRON URBAN ASIA, V4, P173, DOI 10.1177/0975425313477760
   Roever S., 2006, LEGAL ISSUES VENDING
   Roever S, 2016, CITYSCAPE, V18, P27
   Roy A, 2005, J AM PLANN ASSOC, V71, P147, DOI 10.1080/01944360508976689
   Roy A., 2004, URBAN INFORMALITY TR
   Roy A, 2009, PLAN THEOR, V8, P7, DOI 10.1177/1473095208099294
   Rukmana D, 2011, PLAN THEORY PRACT, V12, P138
   Rukmana Deden, 2013, TRANSFORMING ASIAN C, P123
   Salazar Gabriel:., 2003, Ferias libres, espacio residual de soberania ciudadana
   Sethuraman S.V., 1981, URBAN INFORMAL SECTO
   Setsabi S., 2008, URBAN FORUM, V19, P221, DOI [10.1007/s12132-008-9033-x, DOI 10.1007/S12132-008-9033-X]
   Smart J., 1986, ASIAN J PUBLIC ADM, V8, P260, DOI DOI 10.1080/02598272.1986
   Stavenhagen Rodolfo., 1965, STUD COMP INT DEV, V1, P53
   Stones R., 2005, STRUCTURATION THEORY
   Swider S, 2015, CRIT SOCIOL, V41, P701, DOI 10.1177/0896920514529676
   Timothy DJ, 1997, ANN TOURISM RES, V24, P322, DOI 10.1016/S0160-7383(97)80004-7
   Turner S, 2012, URBAN STUD, V49, P1027, DOI 10.1177/0042098011408934
   UNDP and CLEP, 2008, MAK LAW WORK EV
   Wang D., 2003, STREET CULTURE CHENG, P1870
   Weng CY, 2016, CITYSCAPE, V18, P47
   Women in Informal Employment: Globalizing and Organizing or WIEGO, 2016, STREET VEND LAW
   World Bank, 2013, WOR DEV REP, P1, DOI 10.1596/978-0-8213-9575-2
   Xue DS, 2015, GEOFORUM, V62, P156, DOI 10.1016/j.geoforum.2015.04.012
   Yatmo YA, 2008, J URBAN DES, V13, P387, DOI 10.1080/13574800802320889
   Yiftachel O., 2006, Planning Theory, V5, P211, DOI [10.1177/1473095206068627, DOI 10.1177/1473095206068627]
NR 85
TC 27
Z9 27
U1 3
U2 40
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JAN
PY 2017
VL 61
BP 136
EP 143
DI 10.1016/j.cities.2016.08.018
PG 8
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA EJ1WN
UT WOS:000393001100015
DA 2025-04-22
ER

PT J
AU Zhang, Z
   Sharifi, A
AF Zhang, Zhe
   Sharifi, Ayyoob
TI Analysis of decoupling between CO2 emissions and economic
   growth in China's provincial capital cities: A Tapio model approach
SO URBAN CLIMATE
LA English
DT Article
DE Economic development; Tapio model; Chinese provincial capital cities;
   Climate change mitigation; Urban carbon; CO2 emissions
ID CARBON-DIOXIDE EMISSIONS; CITY-LEVEL; FACTOR DECOMPOSITION; DRIVING
   FACTORS; PATTERNS; OUTPUT
AB Large amounts of CO2 2 emissions often accompany economic growth. The decoupling analysis is a common approach to assess how economic growth can be achieved without significant negative environmental impacts and by promoting energy conservation and emission reduction. Cities are essential in mitigating climate change problems and promoting low-carbon living. This study analyzes the relationship between economic development and CO2 2 emissions in Chinese provincial capitals from 2011 to 2021. The Tapio decoupling model and Logarithmic Mean Divisia Index (LMDI) decomposition model are used to assess this decoupling relationship based on panel CO2 2 emissions and GDP data. The results show that: (1) CO2 2 emissions are still growing at a slow pace, but with big fluctuations during 2019-2021 caused by the COVID-19 pandemic; (2) Cities have significant differences, with some cities reaching a stable weak decoupling, and others with unstable decoupling. Also, economically developed cities have significant advantages; (3) Economic output is still the main factor inhibiting decoupling. The inhibiting effect of population growth is gradually stabilizing. Results demonstrate that energy technology and economic structure have a great role in promoting decoupling. In conclusion, this study emphasizes the importance of energy efficiency and sustainable development through advanced technologies, economic restructuring, and low-carbon strategies for transition toward climate-resilient urban development.
C1 [Zhang, Zhe] Hiroshima Univ, Grad Sch Humanities & Social Sci, Urban Environm Sci Lab URBES, Higashihiroshima, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst & Network Educ & Res Peace & Sustainabil, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 7398529, Japan.
   [Sharifi, Ayyoob] Lebanese Amer Univ, Sch Architecture & Design, Beirut, Lebanon.
C3 Hiroshima University; Hiroshima University; Lebanese American University
RP Sharifi, A (corresponding author), Hiroshima Univ, IDEC Inst & Network Educ & Res Peace & Sustainabil, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 7398529, Japan.
EM m226541@hiroshima-u.ac.jp; sharifi@hiroshima-u.ac.jp
RI Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613
CR Aboagye PD, 2024, RENEW SUST ENERG REV, V189, DOI 10.1016/j.rser.2023.113886
   Aboagye PD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101550
   Ang BW, 2015, ENERG POLICY, V86, P233, DOI 10.1016/j.enpol.2015.07.007
   Ang BW, 2015, ENERG ECON, V47, P68, DOI 10.1016/j.eneco.2014.10.011
   Beijing Municipal Bureau of Statistics (BMBS), 2023, Beijing statistical yearbook
   Cai BF, 2019, APPL ENERG, V253, DOI 10.1016/j.apenergy.2019.113579
   Cai KH, 2022, ENVIRON IMPACT ASSES, V93, DOI 10.1016/j.eiar.2021.106717
   CPD, 2023, CHINA PEOPLES DAILY
   Dong J, 2021, J CLEAN PROD, V321, DOI 10.1016/j.jclepro.2021.129019
   Fang CL, 2015, APPL ENERG, V158, P519, DOI 10.1016/j.apenergy.2015.08.095
   Gao CC, 2021, J CLEAN PROD, V297, DOI 10.1016/j.jclepro.2021.126627
   Grand MC, 2016, ECOL INDIC, V67, P649, DOI 10.1016/j.ecolind.2016.03.042
   Hasanov FJ, 2019, ENVIRON SCI POLLUT R, V26, P30229, DOI 10.1007/s11356-019-06166-y
   Hernández JRE, 2023, J CLEAN PROD, V432, DOI 10.1016/j.jclepro.2023.139735
   Huo TF, 2021, ENVIRON IMPACT ASSES, V86, DOI 10.1016/j.eiar.2020.106487
   Huo WD, 2022, TECHNOL FORECAST SOC, V175, DOI 10.1016/j.techfore.2021.121422
   IPCC, 2023, AR6 SYNTHESIS REPORT, DOI DOI 10.59327/IPCC/AR6-9789291691647
   IPEEC, 2023, G20 ENERGY EFFICIENC
   Jia QX, 2023, BUS STRATEG ENVIRON, V32, P110, DOI 10.1002/bse.3120
   Jiang XT, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090857
   Leitao J, 2022, TECHNOL FORECAST SOC, V174, DOI 10.1016/j.techfore.2021.121250
   Li KJ, 2021, SCI TOTAL ENVIRON, V775, DOI 10.1016/j.scitotenv.2021.145927
   Li L, 2019, APPL ENERG, V244, P36, DOI 10.1016/j.apenergy.2019.03.192
   Li WY, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104156
   Li W, 2015, NAT HAZARDS, V79, P977, DOI 10.1007/s11069-015-1887-3
   Liu JX, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052733
   Liu LN, 2018, J GEOGR SCI, V28, P1467, DOI 10.1007/s11442-018-1556-z
   Mongo M, 2021, ENVIRON SCI POLICY, V118, P1, DOI 10.1016/j.envsci.2020.12.004
   Murakami K, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101221
   NEN, 2023, MOM YINCH 3 NEW IND
   OECD, 2023, Economic Survey of Poland 2023
   Park S, 2011, ENERG POLICY, V39, P5840, DOI 10.1016/j.enpol.2011.06.028
   Pilatowska M, 2020, ENERGIES, V13, DOI 10.3390/en13092124
   Shabani E, 2022, INT J ENVIRON SCI TE, V19, P1861, DOI 10.1007/s13762-021-03319-w
   Shan YL, 2017, J CLEAN PROD, V161, P1215, DOI 10.1016/j.jclepro.2017.06.075
   Shanghai Government, 2021, ISS 14 5 YEAR PLAN D
   Sharifi A, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.142391
   Shen LY, 2018, J CLEAN PROD, V187, P348, DOI 10.1016/j.jclepro.2018.03.190
   Shi LY, 2019, J ENVIRON SCI, V75, P209, DOI 10.1016/j.jes.2018.03.026
   Sówka I, 2018, ATMOS POLLUT RES, V9, P289, DOI 10.1016/j.apr.2017.10.005
   Tapio P, 2005, TRANSP POLICY, V12, P137, DOI 10.1016/j.tranpol.2005.01.001
   Tian J, 2019, J CLEAN PROD, V223, P553, DOI 10.1016/j.jclepro.2019.03.146
   Tian YY, 2019, SCI TOTAL ENVIRON, V675, P439, DOI 10.1016/j.scitotenv.2019.04.239
   UN, 2015, The Paris Agreement
   Vehmas J, 2007, J CLEAN PROD, V15, P1662, DOI 10.1016/j.jclepro.2006.08.010
   Wang Q, 2019, J CLEAN PROD, V209, P126, DOI 10.1016/j.jclepro.2018.10.188
   Wang Q, 2019, J CLEAN PROD, V234, P702, DOI 10.1016/j.jclepro.2019.06.174
   Wang Q, 2019, J CLEAN PROD, V229, P806, DOI 10.1016/j.jclepro.2019.04.403
   Wang Q, 2019, J CLEAN PROD, V229, P570, DOI 10.1016/j.jclepro.2019.04.375
   Wang YH, 2017, J CLEAN PROD, V142, P907, DOI 10.1016/j.jclepro.2016.09.052
   Wu Y, 2019, SCI TOTAL ENVIRON, V656, P576, DOI 10.1016/j.scitotenv.2018.11.384
   Wu Y, 2018, ENVIRON IMPACT ASSES, V71, P60, DOI 10.1016/j.eiar.2018.04.001
   Wu Y, 2018, J CLEAN PROD, V190, P94, DOI 10.1016/j.jclepro.2018.04.139
   Xie PJ, 2019, J CLEAN PROD, V211, P598, DOI 10.1016/j.jclepro.2018.11.212
   XNA, 2020, WHITE PAPER CHINAS E
   XNA, 2023, CENTRAL PEOPLES GOVT
   XNA, 2023, DECL CHIN GEN DEB 75
   Xu XWH, 2018, J CLEAN PROD, V172, P529, DOI 10.1016/j.jclepro.2017.10.136
   Yasmeen H, 2021, ENVIRON SCI POLLUT R, V28, P68364, DOI 10.1007/s11356-021-15416-x
   Yin L, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101195
   Yu YD, 2017, ECOL INDIC, V75, P27, DOI 10.1016/j.ecolind.2016.12.027
   Zhao XC, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19052893
   Zhao X, 2017, J CLEAN PROD, V142, P3500, DOI 10.1016/j.jclepro.2016.10.117
   Zhao XR, 2016, ENERG ECON, V60, P275, DOI 10.1016/j.eneco.2016.10.008
NR 64
TC 12
Z9 13
U1 22
U2 32
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD MAY
PY 2024
VL 55
AR 101885
DI 10.1016/j.uclim.2024.101885
EA MAR 2024
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA C5O3Q
UT WOS:001289853700001
DA 2025-04-22
ER

PT J
AU Guo, T
   Wang, WK
   Hou, QH
   Wu, Y
AF Guo, Ting
   Wang, Wenke
   Hou, Quanhua
   Wu, Yan
TI ASSESSMENT OF REGIONAL RESILIENCE IN THE CATCHMENT OF YAN RIVER WITH A
   FOCUS ON GEOLOGICAL DISASTER IN THE LOESS PLATEAU
SO JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY
LA English
DT Article
DE regional resilience; geological disaster; environmental protection;
   ecological perspective
AB Frequent occurrence of disasters severely threatens the urban-rural construction progress in the Loess Plateau area, and gives rise to massive damage to the property and high casualties. A resilience method should be employed to investigate the interplay of disasters, expansion of residential areas and economic growth. The objective of the paper is to investigate resilience change across basin catchment. The reason is ascribed to the intimacy between geological disasters and a specific river basin, and also the correlation of the river basin with ecosystems including water cycle, landscape pattern, ecological process, as well as social system like human settlement. The pressure resilience of the Yanhe basin increased from 0.137 in 2000 to 0.145 in 2018, which was mainly affected by natural factors such as rainfall, topography, and vegetation index. Before 2010, there existed great differences in the level of resilience with the variation of natural condition index. After 2010, the vegetation index in Northwest areas has increased by 0.05. The increase of anthropogenic vegetation index can significantly improve the geological disaster resilience of the area. Therefore, the pressure resilience in this area has increased by 0.02. In different spaces, the infrastructure construction index, land use intensity index, and economic index show different positive and negative correlations among human factors. Compared with Ansai and Baota, Yan-chang's response resilience is improved slowly, mainly because of the slow speed of economic development and communication emergency infrastructure construction. Between 2000 and 2018, the coverage rate of fixed telephones in Yanhe basin increased by two to three times, the coverage rate of broadcasting also increased to 99%, the proportion of illiteracy decreased by more than 10% on average, the income level of residents increased by more than 1,000 yuan, emergency disasters. The responsiveness is significantly enhanced, and the response resilience is significantly improved.
C1 [Guo, Ting; Wang, Wenke; Hou, Quanhua; Wu, Yan] Changan Univ, Xian 710061, Peoples R China.
C3 Chang'an University
RP Guo, T (corresponding author), Changan Univ, Xian 710061, Peoples R China.
EM guoting@chd.edu.cn
RI Yan, Wu/JYO-9522-2024
FU General project of National Natural Science Foundation of China:
   Research on adaptive mechanism and control of Weibei rural settlements
   based on social ecological network [52178030]; Fundamental Research
   Funds for the Central University [300102411683, 211441210217]
FX This research was funded by General project of National Natural Science
   Foundation of China: Research on adaptive mechanism and control of
   Weibei rural settlements based on social ecological network, grant
   number 52178030; Fundamental Research Funds for the Central University,
   grant number 300102411683; Study on Key Technologies of ecological
   spatial management and control in Yanhe River Basin based on
   hydrological process, grant number 211441210217.
CR Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   Chen HR, 2021, J ENVIRON PROT ECOL, V22, P445
   Davic RD, 2004, ANNU REV ECOL EVOL S, V35, P405, DOI 10.1146/annurev.ecolsys.35.112202.130116
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Fiksel J., 2006, Sustainability: Science, Practice and Policy, V2, P14
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   LI H., 2021, J BALK TRIBOL ASSOC, V27, P386
   Liu Y, 2018, NAT HAZARDS, V91, P587, DOI 10.1007/s11069-017-3142-6
   Rapport D. J., 1979, B ECOL SOC AM, V60, P180, DOI DOI 10.2307/20166211
   Walker B, 2002, CONSERV ECOL, V6
   Wang Y, 2020, J ENVIRON PROT ECOL, V21, P1972
   Wesely J, 2018, INT J URBAN SUSTAIN, V10, P203, DOI 10.1080/19463138.2018.1482120
NR 14
TC 0
Z9 0
U1 2
U2 14
PU SCIBULCOM LTD
PI SOFIA
PA PO BOX 249, 1113 SOFIA, BULGARIA
SN 1311-5065
J9 J ENVIRON PROT ECOL
JI J. Environ. Prot. Ecol.
PY 2022
VL 23
IS 2
BP 595
EP 607
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 1H9AF
UT WOS:000796830800017
DA 2025-04-22
ER

PT J
AU Hashimoto, T
   Wójcik, D
AF Hashimoto, Tom
   Wojcik, Dariusz
TI Centripetal and centrifugal forces in the wake of external shocks: A
   case of financial and business services in the Visegr acute accent ad
   Four*
SO APPLIED GEOGRAPHY
LA English
DT Article
DE EU accession; Global financial crisis; Overlapping institutions;
   Financial centres; Global City
ID WORLD CITIES; CITY; GLOBALIZATION; INSTITUTIONS; INDUSTRY; RESILIENCE;
   CENTERS
AB This paper investigates the spatial distribution of employment in financial and business services (FABS) across major metropolitan areas in the Visegr ' ad Four (V4). It addresses a gap in research on financial centres by illustrating overlapping institutional arrangements as an interplay between centripetal and centrifugal forces with the Global City as a theoretical backbone. The interplay is contextualised in two external shocks - EU accession and the Global Financial Crisis (GFC). The regulatory harmonisation and the general trend of capital movement create an opportunity for the capital cities to function as the national gateways to investments. However, the increasing capacity to produce larger and more complex FABS in secondary cities incentivises foreign firms to rearrange their regional office networks. Similarly, while the GFC directly impacted the financial sector, demand for the majority of services was maintained, sustaining the growth trajectories of national financial centres. The empirical analysis reveals that FABS growth in the V4 did not really accelerate in the wake of the accession, nor decelerate in the wake of the GFC. While significant differences between countries remain, the configuration of financial centres within Poland has not changed significantly, suggesting a resilient concentration and hierarchy of financial centres.
C1 [Hashimoto, Tom] Vistula Univ, Warsaw, Poland.
   [Wojcik, Dariusz] Univ Oxford, Sch Geog & Environm, South Parks Rd, Oxford OX1 3QY, England.
C3 Vistula University; University of Oxford
RP Hashimoto, T (corresponding author), Vistula Univ, Warsaw, Poland.
EM t.hashimoto@vistula.edu.pl; dariusz.wojcik@spc.ox.ac.uk
RI Hashimoto, Tom/AAT-6849-2020; Wojcik, Dariusz/KYQ-9370-2024
OI Wojcik, Dariusz/0000-0003-2158-284X; Hashimoto, Tom/0000-0001-6534-9375
FU European Research Council (ERC) under the European Union [681337]
FX This project is supported by the European Research Council (ERC) under
   the European Union's Horizon 2020 research and innovation programme
   (grant agreement number 681337). The article reflects only the authors'
   views and the ERC is not responsible for any use that may be made of the
   information it contains.
CR Aalbers MB, 2020, PROG HUM GEOG, V44, P595, DOI 10.1177/0309132519853922
   ABSL, 2018, BUS SERV SECT POL 20
   Amin A, 2001, ENVIRON PLANN A, V33, P1237, DOI 10.1068/a34108
   [Anonymous], 1994, GLOBAL CITY
   Bassens D, 2015, PROG HUM GEOG, V39, P752, DOI 10.1177/0309132514558441
   Beaverstock JV, 2012, CAMB J REG ECON SOC, V5, P271, DOI 10.1093/cjres/rss005
   Beaverstock JV, 2000, APPL GEOGR, V20, P43, DOI 10.1016/S0143-6228(99)00016-8
   Beaverstock JV, 2000, APPL GEOGR, V20, P277, DOI 10.1016/S0143-6228(00)00009-6
   Brülhart M, 2006, ECON TRANSIT, V14, P245, DOI 10.1111/j.1468-0351.2006.00256.x
   Cernat L., 2006, EUROPEANIZATION VARI
   Christopherson S, 2002, ECON GEOGR, V78, P1, DOI 10.2307/4140821
   Coe NM, 2014, REG STUD, V48, P761, DOI 10.1080/00343404.2014.886772
   Coffey WJ, 2000, URBAN GEOGR, V21, P170, DOI 10.2747/0272-3638.21.2.170
   Contel FB, 2019, PROF GEOGR, V71, P681, DOI 10.1080/00330124.2019.1578980
   Csaba L, 2022, POST-COMMUNIST ECON, V34, P1, DOI 10.1080/14631377.2019.1641949
   De Bruycker I, 2019, EUR POLIT SCI REV, V11, P57, DOI 10.1017/S1755773918000218
   FRIEDMANN J, 1986, DEV CHANGE, V17, P69, DOI 10.1111/j.1467-7660.1986.tb00231.x
   Fromhold-Eisebith M, 2015, EUR PLAN STUD, V23, P1675, DOI 10.1080/09654313.2015.1047329
   Gál Z, 2021, ROUT ADV REGION ECON, P98
   Gertler M.S., 2004, Manufacturing Culture: The Institutional Geography of Industrial Practice
   Gertler MS, 2010, REG STUD, V44, P1, DOI 10.1080/00343400903389979
   Golecki M, 2018, REV EUROPEAN UNION A, P7
   Hall PA, 2009, SOCIO-ECON REV, V7, P7, DOI 10.1093/ser/mwn020
   Hanegraaff M, 2019, J EUR PUBLIC POLICY, V26, P843, DOI 10.1080/13501763.2018.1492006
   Hashimoto T., 2021, FINANCE SOC, V7, P57
   Hashimoto T, 2022, URBAN STUD, V59, P1255, DOI 10.1177/0042098021999992
   Hashimoto T, 2021, EUR URBAN REG STUD, V28, P85, DOI 10.1177/0969776420943664
   Jessop B, 2001, ENVIRON PLANN A, V33, P1213, DOI 10.1068/a32183
   Kaneko H., 2018, LAW E EUROPE, V67, P57
   Kelstrup JD, 2018, HANDB RES PUB POL, P353
   Knell M, 2006, STUD ECON TRANSIT, P40
   MacLeavy J, 2019, DIALOGUES HUM GEOGR, V9, P273, DOI 10.1177/2043820619875332
   McCann P., 2001, Urban and Regional Economics
   Meek James, 2019, Dreams of leaving and remaining
   Mykhnenko V, 2006, STUD ECON TRANSIT, P124
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Rodríguez-Pose A, 2013, REG STUD, V47, P1034, DOI 10.1080/00343404.2012.748978
   Sherrington P., 2000, Global Society, V14, P173, DOI [10.1080/13600820050008430, DOI 10.1080/13600820050008430]
   Storper Michael., 2013, KEYS CITY EC I SOCIA
   Straumann Tobias, 2018, INT FINANCIAL CENTRE, P106
   Taylor Peter., 2016, World City Network. A Global Urban Analysis
   Taylor PJ., 2015, World City Network: A Global Urban Analysis
   Wójcik D, 2018, GEOFORUM, V91, P182, DOI 10.1016/j.geoforum.2018.02.035
   Wójcik D, 2018, J ECON GEOGR, V18, P1, DOI 10.1093/jeg/lbx008
   Wójcik D, 2013, PROG HUM GEOG, V37, P330, DOI 10.1177/0309132512460904
   Yeung HWC, 2019, DIALOGUES HUM GEOGR, V9, P226, DOI 10.1177/2043820619861861
NR 46
TC 4
Z9 4
U1 0
U2 4
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0143-6228
EI 1873-7730
J9 APPL GEOGR
JI Appl. Geogr.
PD SEP
PY 2021
VL 134
AR 102522
DI 10.1016/j.apgeog.2021.102522
EA JUL 2021
PG 10
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA UD4WV
UT WOS:000687209200008
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Yuan, HJ
   Wang, M
   Zhang, DQ
   Ikram, RMA
   Su, J
   Zhou, SQ
   Wang, YK
   Li, JJ
   Zhang, QF
AF Yuan, Haojun
   Wang, Mo
   Zhang, Dongqing
   Ikram, Rana Muhammad Adnan
   Su, Jin
   Zhou, Shiqi
   Wang, Yuankai
   Li, Jianjun
   Zhang, Qifei
TI Data-driven urban configuration optimization: An XGBoost-based approach
   for mitigating flood susceptibility and enhancing economic contribution
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Urban configuration; Machine learning; Multi-objective optimization;
   Urban pluvial flooding; Economic contribution; Factor influence analysis
ID SPATIAL HETEROGENEITY; PRECIPITATION; URBANIZATION; IMPACT; RISK
AB The indiscriminate evolution of urban configurations aggravates flood vulnerabilities, threatening sustainable urban expansion. Present methodologies fall short in supplying urban planners with flood mitigative strategies centered on urban configuration facets. Leveraging the power of the XGBoost algorithm, this study posits an advanced optimization schema, adroitly balancing the dual objectives of mitigating urban flooding and enhancing economic growth, with minimal disruption to established urban layouts. Shenzhen serves as the investigative ground, where the model displays exceptional accuracy, resilience, and interpretability in predicting Pluvial Flooding Susceptibility (PFS) and Economic Contribution (EC). Model interpretation divulges the profound influence of three-dimensional urban configuration elements, primarily the Building Congestion Degree, on PFS and EC. Pareto solution exploration for multi-objective optimization unveils the ideal urban configuration interval. To minimize PFS while maximizing EC, the research suggests pertinent measures: augmenting vegetation density, regulating the impervious coverage ratio within 50-70%, limiting two- and threedimensional building density thresholds, and moderately escalating urban drainage network density. Additionally, it encourages a comprehensive appreciation of function-oriented land usage and intrinsic site topographical characteristics to reconcile varied urban development goals during planning. By fusing data-derived insights with multi-objective optimization, this research anticipates influencing urban planning models, thus enhancing decision-making related to urban configuration and fostering flood-resilient, sustainable, and economically prosperous urban habitats.
C1 [Yuan, Haojun; Wang, Mo; Ikram, Rana Muhammad Adnan; Li, Jianjun] Guangzhou Univ, Coll Architecture & Urban Planning, Guangzhou 510006, Peoples R China.
   [Zhang, Dongqing] Guangdong Univ Petrochem Technol, Sch Environm Sci & Engn, Guangdong Prov Key Lab Petrochemcial Pollut Proc &, Maoming 525000, Guangdong, Peoples R China.
   [Su, Jin] Univ Tun Hussein Onn Malaysia, Fac Civil Engn & Built Environm, Batu Pahat 86400, Johor, Malaysia.
   [Zhou, Shiqi] Tongji Univ, Coll Design & Innovat, Shanghai 200093, Peoples R China.
   [Wang, Yuankai] Univ Hong Kong, Dept Urban Planning & Design, Pok Fu Lam, Hong Kong, Peoples R China.
   [Wang, Yuankai] UCL, Bartlett Sch Architecture, London WC1H0QB, England.
   [Zhang, Qifei] Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou 510006, Peoples R China.
C3 Guangzhou University; Guangdong University of Petrochemical Technology;
   University of Tun Hussein Onn Malaysia; Tongji University; University of
   Hong Kong; University of London; University College London; Guangzhou
   University
RP Wang, M (corresponding author), Guangzhou Univ, Coll Architecture & Urban Planning, Guangzhou 510006, Peoples R China.; Zhang, DQ (corresponding author), Guangdong Univ Petrochem Technol, Sch Environm Sci & Engn, Guangdong Prov Key Lab Petrochemcial Pollut Proc &, Maoming 525000, Guangdong, Peoples R China.
EM haojuny1202@outlook.com; landwangmo@outlook.com;
   dqzhang3377@outlook.com; rana@gzhu.edu.cn; kallang01@outlook.com;
   zhoushiqi@tongji.edu.cn; ucbqy55@ucl.ac.uk; lijianjun@gzhu.edu.cn;
   zhangqf@gzhu.edu.cn
RI Wang, Mo/ABC-9345-2020; zhou, shiqi/LLL-2747-2024; Wang,
   Yuankai/HKM-7504-2023; Ikram, Rana Muhammad Adnan/ABB-1652-2020
OI Wang, Mo/0000-0001-8752-6256; Ikram, Rana Muhammad
   Adnan/0000-0002-2650-8123
FU Guangdong Basic and Applied Basic Research Foundation, China
   [2023A1515030158, 2023A1515012130]; Guangzhou Sci. Technol. Program,
   China [202201010431]; Maoming Sci. Technol. Program, China [2021S0054]
FX This work was supported by Guangdong Basic and Applied Basic Research
   Foundation, China [grant number 2023A1515030158, 2023A1515012130] ,
   Guangzhou Sci. Technol. Program, China [grant number 202201010431] , and
   Maoming Sci. Technol. Program, China [grant number 2021S0054] .
CR Acosta MP, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102948
   Ahlfeldt GM, 2022, J URBAN ECON, V129, DOI 10.1016/j.jue.2021.103419
   Alves A, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134980
   Aydin HE, 2023, NAT HAZARDS, V116, P2957, DOI 10.1007/s11069-022-05793-y
   Bai XM, 2012, ENVIRON SCI TECHNOL, V46, P132, DOI 10.1021/es202329f
   Balasubramanian M, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7758-8
   Baruti MM, 2019, INT J BIOMETEOROL, V63, P1449, DOI 10.1007/s00484-019-01757-3
   Bruwier M, 2018, SCI TOTAL ENVIRON, V622, P446, DOI 10.1016/j.scitotenv.2017.11.325
   Bruwier M, 2020, J HYDROL, V582, DOI 10.1016/j.jhydrol.2019.124493
   Carlino GA, 2007, J URBAN ECON, V61, P389, DOI 10.1016/j.jue.2006.08.003
   Chang HJ, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102786
   Chang I, 2022, ACCIDENT ANAL PREV, V166, DOI 10.1016/j.aap.2021.106545
   Chen JD, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01322-5
   Chen TQ, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P785, DOI 10.1145/2939672.2939785
   [陈彦光 Chen Yanguang], 2011, [地理科学, Scientia Geographica Sinica], V30, P1
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Bui DT, 2020, SCI TOTAL ENVIRON, V701, DOI 10.1016/j.scitotenv.2019.134413
   Du SQ, 2015, NAT HAZARDS, V76, P1457, DOI 10.1007/s11069-014-1463-2
   Fang ZC, 2021, J HYDROL, V594, DOI 10.1016/j.jhydrol.2020.125734
   Gong P., 2020, Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018
   Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a
   Hu HT, 2015, LANDSCAPE ECOL, V30, P547, DOI 10.1007/s10980-014-0126-8
   Ismael HM, 2021, GEOJOURNAL, V86, P1785, DOI 10.1007/s10708-020-10157-9
   Karger DN, 2023, CLIM PAST, V19, P439, DOI 10.5194/cp-19-439-2023
   Kim HW, 2016, APPL GEOGR, V77, P72, DOI 10.1016/j.apgeog.2016.10.008
   Kingma D., 2015, P INT C LEARN REPR I
   Kourtis IM, 2021, SCI TOTAL ENVIRON, V771, DOI 10.1016/j.scitotenv.2021.145431
   Leandro J, 2016, J HYDROL, V535, P356, DOI 10.1016/j.jhydrol.2016.01.060
   Lei XX, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126684
   Leng LY, 2021, SCI TOTAL ENVIRON, V775, DOI 10.1016/j.scitotenv.2021.145831
   Li PY, 2022, COMPUT ENVIRON URBAN, V94, DOI 10.1016/j.compenvurbsys.2022.101796
   Li XF, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127034
   Liang C, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146415
   Liang P, 2017, ADV ATMOS SCI, V34, P321, DOI 10.1007/s00376-016-6120-0
   Lin JY, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103812
   Lin JY, 2021, ENVIRON RES, V196, DOI 10.1016/j.envres.2020.110438
   Löwe R, 2017, J HYDROL, V550, P355, DOI 10.1016/j.jhydrol.2017.05.009
   Lundberg SM, 2017, ADV NEUR IN, V30
   Ma MH, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126382
   Mannucci S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14074096
   Ngatchou P., 2005, P 13 INT C INT SYST, P84, DOI DOI 10.1109/ISAP.2005.1599245
   Nkwunonwo UC, 2020, SCI AFR, V7, DOI 10.1016/j.sciaf.2020.e00269
   Noor R, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15020318
   Osman AIA, 2021, AIN SHAMS ENG J, V12, P1545, DOI 10.1016/j.asej.2020.11.011
   Paul S, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22322-9
   Peng ZK, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104275
   Rao YX, 2018, J CLEAN PROD, V186, P662, DOI 10.1016/j.jclepro.2018.03.119
   Rosenzweig BR, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001739
   Ruan LL, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104224
   Ryu SE, 2020, IEEE ACCESS, V8, P177708, DOI 10.1109/ACCESS.2020.3025553
   Toparlar Y, 2018, APPL ENERG, V228, P852, DOI 10.1016/j.apenergy.2018.06.110
   Triantaphyllou E., 2000, APPL OPTIMIZAT, DOI 10.1007/978-1-4757-3157-6
   Wang M., 2022, Resilience Assessment and DecisionMaking Framework, P834
   Wang M, 2023, ECOL INDIC, V148, DOI 10.1016/j.ecolind.2023.110141
   Wang M, 2023, WATER RES, V232, DOI 10.1016/j.watres.2023.119720
   Wang M, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2022.104379
   Wu JS, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64113-1
   Wu ZN, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2020.137077
   Yang LY, 2015, LANDSCAPE URBAN PLAN, V136, P40, DOI 10.1016/j.landurbplan.2014.11.016
   Yang WY, 2021, J CLEAN PROD, V293, DOI 10.1016/j.jclepro.2021.126191
   Yousefi S, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2020.125712
   Zeng ZY, 2019, THEOR APPL CLIMATOL, V138, P1795, DOI 10.1007/s00704-019-02937-2
   Zhang QF, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13122341
   Zhang Y, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160214
   Zhang ZY, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2021.126126
   Zhou SQ, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104235
NR 66
TC 3
Z9 3
U1 23
U2 23
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD SEP
PY 2024
VL 166
AR 112247
DI 10.1016/j.ecolind.2024.112247
EA JUN 2024
PG 13
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA K9B0U
UT WOS:001346765800001
OA gold
DA 2025-04-22
ER

EF